株式会社 SEMABIZ - 市場データ・産業調査レポート販売
地理空間インテリジェンス市場規模、シェア、動向、2030年までの世界予測 - by application

地理空間インテリジェンス市場規模、シェア、動向、2030年までの世界予測

Geospatial Intelligence Market - Global Forecast To 2030

地理空間インテリジェンス市場 - GeoAI(エージェントGIS、モデルカタログ)、地理空間分析(従来のGISソリューション、位置情報インテリジェンス、データ処理とETL)、取得システム(PNT、GNSS)、テクノロジー(ラスター、画像分析) - 2030年までの世界予測

Geospatial Intelligence Market by GeoAI (Agentic GIS, Model Catalogs), Geospatial Analytics (Traditional GIS Solutions, Location Intelligence, Data Processing & ETL), Acquisition Systems (PNT, GNSS), Technology (Raster, Imagery Analytics) - Global Forecast to 2030


出版 MarketsandMarkets
出版年月 2026年01月
ページ数 521
図表数 688
価格 記載以外のライセンスについてはお問合せください
 シングルユーザ USD 4,950
種別 英文調査報告書
商品番号 SMR-11905


SEMABIZ - otoiawase8

地理空間インテリジェンス(GeoAI)市場は、2025年の371億3,000万米ドルから2030年には628億8,000万米ドルに拡大し、予測期間中に年平均成長率(CAGR)11.1%で成長すると予測されています。市場の成長は、衛星、ドローン、センサー、コネクテッドデバイスから生成される複雑な地理空間データセットを分析するための人工知能(AI)と機械学習の利用増加に牽引されています。防衛、インフラ、ヘルスケア、環境モニタリングなどの分野で、組織は意思決定、リスク評価、運用効率の向上を目的とした地理空間インテリジェンスソリューションを導入しています。クラウドコンピューティング、データ融合、リアルタイム分析の進歩により、地理空間インテリジェンスプラットフォームの拡張性とアクセシビリティが向上しています。同時に、スマートインフラ、公共安全、気候変動へのレジリエンスへの投資増加により、高度なGeoAI機能に対する需要がさらに高まっています。

調査対象範囲

本調査レポートは、地理空間インテリジェンス(GeoAI)市場を網羅し、提供内容、コアテクノロジーアーキテクチャ、データタイプ、および業種別に分類しています。提供内容セグメントは、ソフトウェア、地理空間情報取得システム、およびサービスで構成されています。ソフトウェアセグメントには、GeoAIおよびMLプラットフォーム(エージェント型GISおよびAIコパイロット、GeoAIクラウドネイティブプラットフォーム、GeoAIモデルカタログなど)、地理空間分析(従来型GISソリューション(デスクトップGIS、Web/エンタープライズGIS、空間データベース、3D/4Dマッピングツール)、ロケーションインテリジェンス(空間クエリおよびインデックスエンジン、地理空間可視化エンジン、ロケーションエンリッチメントツール、空間APIおよびマイクロサービス)、およびデータ処理およびETL(ジオコーディングエンジン、空間データ統合ツール、ラスター/ベクター/CRSデータ変換)が含まれます。地理空間取得システムセグメントは、センシング&キャプチャ(衛星画像センサー、航空カメラ、LIDAR/3Dスキャナー)と測位&トラッキング(GNSS受信機[RTK/PPP]、慣性測定装置[IMU]、PNT[位置、ナビゲーション、タイミング]システム)に分かれています。サービスセグメントは、コアサービス(コンサルティング、導入・統合、カスタムアプリ開発、トレーニング・イネーブルメント、データ統合サービス)とマネージドサービスで構成されています。コアテクノロジーアーキテクチャセグメントは、ベクターおよびGIS分析(幾何学的分析、空間統計、ネットワーク分析)、ラスターおよび画像分析(衛星/航空画像処理、コンピュータービジョン、スペクトル分析)、ストリーミングおよびリアルタイム分析(ライブデータ処理、イベント検出、動的最適化)、地理視覚化(ダッシュボードおよびレポート作成、テーママッピング、3D/AR/VRオーバーレイ)をカバーしています。データタイプセグメントは、画像データ(衛星画像、航空/UAV画像、ハイパースペクトルデータ、SARデータ)、非画像データ(ベクターデータ、3D空間データ、クラウドソーシングデータ、LiDARデータ)、および地理時間・融合データ(センサー/IoTデータ、ソーシャルメディアのジオタグデータ、モバイルデバイスの位置情報データ)をカバーしています。
アプリケーションセグメントは、資産監視・管理、リスク評価・モデリング、精密農業、災害管理・対応、都市計画・デジタルツイン、監視・セキュリティ、サプライチェーン・ルート最適化、環境・気候モニタリングをカバーしています。垂直セグメントは、エネルギー・公益事業、政府・防衛、通信、保険・金融サービス、不動産・建設、自動車・輸送、ヘルスケア・ライフサイエンス、鉱業、農業、その他の垂直分野(小売・eコマース、メディア・エンターテインメント、教育、観光を含む)に分かれています。地理空間インテリジェンス(GeoAI)市場の地域分析は、北米、ヨーロッパ、アジア太平洋、中東・アフリカ(MEA)、ラテンアメリカを対象としています。

レポート購入の主なメリット

本レポートは、市場リーダー/新規参入企業に対し、地理空間インテリジェンス(GeoAI)市場全体とそのサブセグメントの収益数値の近似値に関する情報を提供します。これにより、関係者は競争環境を理解し、ビジネスポジショニングの改善と適切な市場開拓戦略の策定に役立つ洞察を得ることができます。また、市場の動向を把握し、主要な市場牽引要因、制約要因、課題、そして機会に関する情報も提供します。

本レポートでは、以下の点について洞察を提供しています。

  • 主要な推進要因(セキュリティ、インフラ、商用運用における意思決定タイムラインの短縮、持続的な地球観測と位置情報データソースの急増、防衛分野を超えて民間および商用の意思決定への地理空間インテリジェンスの拡大、予測的・先見的なインテリジェンスにおける空間コンテキストの重要性の高まり)、制約(規制上の制約と国境を越えたデータ管理の管理、リアルタイムの地理空間インテリジェンスの導入を制限するインフラとネットワークの制約)、機会(地理基盤モデルと転移学習パイプラインによる新たな価値の創出、データ融合と来歴サービスによる企業の信頼の拡大、垂直化されコンプライアンスに準拠した地理空間インテリジェンス・プラットフォームの提供、運用統合による予測的地理空間インテリジェンスの収益化)、課題(運用規模での高品質なラベルと検証の維持、安全な複数当事者間の地理空間コラボレーションとフェデレーション分析の実現)の分析
  • 製品開発/イノベーション:地理空間インテリジェンス(GeoAI)市場における今後の技術、研究開発活動、新製品・新サービスの発売に関する詳細な洞察
  • 市場開発:収益性の高い市場に関する包括的な情報。本レポートでは、様々な地域における地理空間インテリジェンス(GeoAI)市場を分析しています。
  • 市場の多様化:地理空間インテリジェンス(GeoAI)市場における新製品・新サービス、未開拓地域、最近の動向、投資に関する包括的な情報
  • 競合評価:Google(米国)、IBM(米国)、Alteryx(米国)、ESRI(米国)、Hexagon AB(スウェーデン)、TomTom(オランダ)、Trimble(米国)、Ouster(米国)、Vantor(米国)、Lanteris Space Systems(米国)、Precisely(米国)、Caliper Corporation(米国)、RMSI(インド)、MapLarge(米国)、General Electric(米国)、Airbus(フランス)、Fugro(オランダ)、Planet Labs(米国)、Microsoft(米国)、CGI(カナダ)、Teledyne Technologies(カナダ)、Bentley Systems(米国)、Here Technologies(米国)、NVS Geospatial(米国)、AWS(米国)、SBL(インド)、BAE Systems(英国)、ECS(米国)、Vexcel Imaging(オーストリア)、Mapbox(米国)、EOS Data Analytics(米国)、Magnasoft(インド)、EarthDaily Analytics(カナダ)、Mapideaなどの主要企業の市場シェア、成長戦略、サービス提供に関する詳細な評価。地理空間インテリジェンス(GeoAI)市場において、Geospin(ドイツ)、Sparkgeo(カナダ)、Mapular(ニュージーランド)、Carto(米国)、Blue Sky Analytics(オランダ)、Latitudo40(イタリア)、Ecopia AI(カナダ)、Spatial AI(米国)、Dista(米国)、Capella Space(米国)、Wherobots(米国)、Geowgs84.ai(米国)、Europa Technologies(英国)など、数多くの企業が参入しています。本レポートは、地理空間インテリジェンス(GeoAI)市場の動向を把握し、主要な市場牽引要因、制約要因、課題、そして機会に関する情報を提供することで、関係者を支援するものです。

Report Description

The geospatial intelligence (GeoAI) market is projected to grow from USD 37.13 billion in 2025 to USD 62.88 billion by 2030, at a CAGR of 11.1% during the forecast period. Market growth is driven by the increasing use of artificial intelligence and machine learning to analyze complex geospatial datasets generated from satellites, drones, sensors, and connected devices. Organizations across defense, infrastructure, healthcare, and environmental monitoring are adopting geospatial intelligence solutions to enhance decision-making, risk assessment, and operational efficiency. Advancements in cloud computing, data fusion, and real-time analytics are improving the scalability and accessibility of geospatial intelligence platforms. In parallel, growing investments in smart infrastructure, public safety, and climate resilience initiatives are further strengthening demand for advanced GeoAI capabilities.

地理空間インテリジェンス市場規模、シェア、動向、2030年までの世界予測

Geospatial Intelligence Market – Global Forecast To 2030

“Sensing and capture segment, by offering, is projected to grow at the highest CAGR during the forecast period.”
Sensing and capture represent the fastest-growing segment within geospatial acquisition systems in the geospatial intelligence (GeoAI) market. This segment includes satellites, aerial platforms, drones, LiDAR systems, and ground-based sensors used to collect geospatial data. Growth is driven by the expanding deployment of earth observation satellites, the increased use of unmanned aerial systems, and the demand for high-frequency data collection. These acquisition systems provide the foundational data required for downstream geospatial intelligence and analytics. Continuous improvements in sensor resolution, coverage, and cost efficiency are driving the acceleration of adoption across various use cases, including defense, infrastructure monitoring, environmental assessment, and disaster response.

“Imagery data segment is expected to hold the largest share of the geospatial intelligence (GeoAI) market.”
Imagery data represents the largest data type segment in the geospatial intelligence (GeoAI) market. Satellite and aerial imagery are widely used for surveillance, mapping, change detection, and asset monitoring applications. High-resolution imagery supports AI-driven feature extraction, object recognition, and predictive spatial analysis across multiple sectors. Continuous improvements in image resolution, revisit rates, and analytics capabilities are enhancing the value of imagery-based intelligence. Strong adoption across defense, urban planning, environmental monitoring, and commercial applications sustains the dominant position of the imagery data segment.

地理空間インテリジェンス市場規模、シェア、動向、2030年までの世界予測 - 地域

Geospatial Intelligence Market – Global Forecast To 2030 – region

“North America to lead the geospatial intelligence (GeoAI) market, while Asia Pacific emerges as the fastest-growing region.”
North America is expected to hold the largest share of the geospatial intelligence (GeoAI) market during the forecast period. The region benefits from strong adoption across defense, public safety, infrastructure, and healthcare applications, supported by sustained government spending and a mature geospatial technology ecosystem. Widespread use of satellite imagery, geospatial analytics, and AI-enabled intelligence platforms across federal agencies and enterprises drives market leadership. The presence of major geospatial technology providers and cloud service platforms further accelerates deployment.
Asia Pacific is projected to register the highest growth rate in the geospatial intelligence (GeoAI) market. Rapid urbanization, increasing investments in smart city initiatives, and the expansion of earth observation programs across countries such as China, India, and Southeast Asian nations are driving the adoption. Governments in the region are leveraging geospatial intelligence for infrastructure development, environmental monitoring, and disaster management. The growing availability of satellite data and improving analytics capabilities position the Asia Pacific as a key growth region over the forecast period.

Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the geospatial intelligence (GeoAI) market.

  •  By Company: Tier 1 – 35%, Tier 2 – 45%, and Tier 3 – 20%
  •  By Designation: C-level Executives – 35%, D-level Executives – 25%, and Others – 40%
  •  By Region: North America – 40%, Europe – 25%, Asia Pacific – 20%, Middle East & Africa – 10%, and Latin America – 5%
地理空間インテリジェンス市場規模、シェア、動向、2030年までの世界予測 - 対象企業

Geospatial Intelligence Market – Global Forecast To 2030 – ecosystem

The report includes the study of key players offering geospatial intelligence solutions and services. It profiles major vendors in the geospatial intelligence (GeoAI) market. The major players in the s market include Google (US), IBM (US), Alteryx (US), ESRI (US), Hexagon AB (Sweden), TomTom (Netherlands), Trimble (US), Ouster (US), Vantor (US), Lanteris Space Systems (US), Precisely (US), Caliper Corporation (US), RMSI (India), MapLarge (US), General Electric (US), Airbus (France), Fugro (Netherlands), Planet Labs (US), Microsoft (US), CGI (Canada), Teledyne Technologies (Canada), Bentley Systems (US), Here Technologies (US), NVS Geospatial (US), AWS (US), SBL (India), BAE Systems (UK), ECS (US), Vexcel Imaging (Austria), Mapbox (US), EOS Data Analytics (US), Magnasoft (India), EarthDaily Analytics (Canada), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Mapular (New Zealand), Carto (US), Blue Sky Analytics (Netherlands), Latitudo40 (Italy), Ecopia AI (Canada), Spatial AI (US), Dista (US), Capella Space (US), Whereobots (US), Geowgs84.ai (US), and Europa Technologies (UK).

Research coverage
This research report covers the geospatial intelligence (GeoAI) market and is segmented by offering, core technology architecture, data type, and vertical. The offering segment comprises software, geospatial acquisition systems, and services. The software segment contains GeoAI & ML platforms (agentic GIS & AI copilot, GeoAI cloud-native platform, GeoAI model catalogs, and others), geospatial analytics (traditional GIS solutions [desktop GIS, web/enterprise GIS, spatial databases, 3D/4D mapping tools), location intelligence (spatial query & indexing engines, geospatial visualization engines, location enrichment tools, and spatial apis & microservices), and data processing & ETL (geocoding engines, spatial data integration tools, raster/vector/crs data conversion). The geospatial acquisition systems segment is divided into sensing & capture (satellite imaging sensors, aerial cameras, and LIDAR/3D scanners) and positioning & tracking (GNSS receivers [RTK/PPP], inertial measurement units [IMU], and PNT [position, navigation, and timing] systems). The services segment comprises core services (consulting, deployment & integration, custom app development, training & enablement, and data integration services) and managed services. The core technology architecture segment covers vector & GIS analytics (geometric analysis, spatial statistics, network analysis), raster & imagery analytics (satellite/aerial image processing, computer vision, spectral analysis), streaming & real-time analytics (live data processing, event detection, dynamic optimization) and geovisualization (dashboard & reporting, thematic mapping, 3D/AR/VR overlays). The data type segment covers Imagery Data (satellite imagery, aerial/UAV imagery, hyperspectral data, SAR data), non-imagery data (vector data, 3D spatial data, crowd-sourced data, LiDAR data), and geotemporal & fusion (sensor/IoT data, social media geotagged data, mobile device location data). the application segment covers asset monitoring & management, risk assessment & modeling, precision agriculture, disaster management & response, urban planning & digital twins, surveillance & security, supply-chain & route optimization, and environmental & climate monitoring. The vertical segment is split into energy & utilities, government & defense, telecommunications, insurance & financial services, real estate & construction, automotive & transportation, healthcare & life sciences, mining, agriculture, and other verticals (including retail & e-commerce, media & entertainment, education, and tourism). The regional analysis of the geospatial intelligence (GeoAI) market covers North America, Europe, Asia Pacific, the Middle East & Africa (MEA), and Latin America.

Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall geospatial intelligence (GeoAI) market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

  •  Analysis of key drivers (compression of decision timelines across security, infrastructure, and commercial operations, proliferation of persistent earth observation and location-aware data sources, expansion of geospatial intelligence beyond defense into civilian and commercial decision-making, rising importance of spatial context for predictive and anticipatory intelligence), restraints (managing regulatory constraints and cross-border data controls, infrastructure and network constraints limiting real-time geospatial intelligence adoption), opportunities (unlocking new value with geo foundation models and transfer learning pipelines, scaling enterprise trust through data fusion and provenance services, delivering verticalized, compliance-aligned geospatial intelligence platforms, monetizing predictive geospatial intelligence through operational integration), and challenges (maintaining high-quality labels and validation at operational scale, enabling secure multi-party geospatial collaboration and federated analytics)
  •  Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the geospatial intelligence (GeoAI) market
  •  Market Development: Comprehensive information about lucrative markets; the report analyzes the geospatial intelligence (GeoAI) market across varied regions
  •  Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the geospatial intelligence (GeoAI) market
  •  Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Google (US), IBM (US), Alteryx (US), ESRI (US), Hexagon AB (Sweden), TomTom (Netherlands), Trimble (US), Ouster (US), Vantor (US), Lanteris Space Systems (US), Precisely (US), Caliper Corporation (US), RMSI (India), MapLarge (US), General Electric (US), Airbus (France), Fugro (Netherlands), Planet Labs (US), Microsoft (US), CGI (Canada), Teledyne Technologies (Canada), Bentley Systems (US), Here Technologies (US), NVS Geospatial (US), AWS (US), SBL (India), BAE Systems (UK), ECS (US), Vexcel Imaging (Austria), Mapbox (US), EOS Data Analytics (US), Magnasoft (India), EarthDaily Analytics (Canada), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Mapular (New Zealand), Carto (US), Blue Sky Analytics (Netherlands), Latitudo40 (Italy), Ecopia AI (Canada), Spatial AI (US), Dista (US), Capella Space (US), Wherobots (US), Geowgs84.ai (US), and Europa Technologies (UK) among others in the geospatial intelligence (GeoAI) market. The report also helps stakeholders understand the pulse of the Geospatial Intelligence (GeoAI) market, providing them with information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

1 INTRODUCTION 48
1.1 STUDY OBJECTIVES 48
1.2 MARKET DEFINITION 48
1.2.1 INCLUSIONS AND EXCLUSIONS 49
1.3 MARKET SCOPE 50
1.3.1 MARKET SEGMENTATION 50
1.3.2 STUDY YEARS CONSIDERED 51
1.4 CURRENCY CONSIDERED 51
1.5 STAKEHOLDERS 51
1.6 SUMMARY OF CHANGES 52
2 EXECUTIVE SUMMARY 54
2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS 54
2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 56
2.3 DISRUPTIVE TRENDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 57
2.4 HIGH-GROWTH SEGMENTS 58
2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST 59
3 PREMIUM INSIGHTS 60
3.1 ATTRACTIVE OPPORTUNITIES IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 60
3.2 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: TOP THREE APPLICATIONS 61
3.3 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING AND END USER 61
3.4 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION 62
4 MARKET OVERVIEW 63
4.1 INTRODUCTION 63
4.2 MARKET DYNAMICS 63
4.2.1 DRIVERS 64
4.2.1.1 Compression of decision timelines across security, infrastructure, and commercial operations 64
4.2.1.2 Proliferation of persistent Earth observation and location-aware data sources 65
4.2.1.3 Expansion of geospatial intelligence beyond defense into civilian and commercial decision-making 65
4.2.1.4 Rising importance of spatial context for predictive and anticipatory intelligence 65
4.2.2 RESTRAINTS 66
4.2.2.1 Managing regulatory constraints and cross-border data controls 66
4.2.2.2 Infrastructure and network constraints limiting real-time geospatial intelligence adoption 66
4.2.3 OPPORTUNITIES 67
4.2.3.1 Unlocking new value with geo foundation models and transfer learning pipelines 67
4.2.3.2 Scaling enterprise trust through data fusion and provenance services 67
4.2.3.3 Delivering verticalized, compliance-aligned geospatial intelligence platforms 68
4.2.3.4 Monetizing predictive geospatial intelligence through operational integration 68
4.2.4 CHALLENGES 69
4.2.4.1 Maintaining high-quality labels and validation at operational scale 69
4.2.4.2 Enabling secure multi-party geospatial collaboration and federated analytics 69
4.3 UNMET NEEDS AND WHITE SPACES 70
4.3.1 UNMET NEEDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 70
4.3.2 WHITE SPACE OPPORTUNITIES 70
4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 71
4.4.1 INTERCONNECTED MARKETS 71
4.4.2 CROSS-SECTOR OPPORTUNITIES 72
4.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 73
4.5.1 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 73
5 INDUSTRY TRENDS 74
5.1 EVOLUTION OF GEOSPATIAL INTELLIGENCE (GEOAI) 74
5.2 PORTER’S FIVE FORCES ANALYSIS 76
5.2.1 THREAT OF NEW ENTRANTS 77
5.2.2 THREAT OF SUBSTITUTES 77
5.2.3 BARGAINING POWER OF SUPPLIERS 77
5.2.4 BARGAINING POWER OF BUYERS 77
5.2.5 INTENSITY OF COMPETITIVE RIVALRY 78
5.3 MACROECONOMIC OUTLOOK 78
5.3.1 INTRODUCTION 78
5.3.2 GDP TRENDS AND FORECAST 78
5.3.3 TRENDS IN GLOBAL BIG DATA AND ANALYTICS INDUSTRY 80
5.3.4 TRENDS IN GLOBAL CYBERSECURITY INDUSTRY 80
5.4 SUPPLY CHAIN ANALYSIS 81
5.5 ECOSYSTEM ANALYSIS 83
5.5.1 GEOSPATIAL ACQUISITION SYSTEM PROVIDERS 85
5.5.1.1 Sensing & capture providers 85
5.5.1.2 Positioning & tracking providers 86
5.5.2 SOFTWARE PROVIDERS 86
5.5.2.1 Location intelligence providers 86
5.5.2.2 Traditional GIS providers 86
5.5.2.3 Data processing & ETL providers 86
5.5.2.4 GeoAI & ML platform providers 86
5.5.3 SERVICE PROVIDERS 87
5.5.3.1 Core services 87
5.5.3.1.1 Consulting services 87
5.5.3.1.2 Data integration services 87
5.5.3.2 Managed services 87
5.6 PRICING ANALYSIS 87
5.6.1 AVERAGE SELLING PRICE OF OFFERINGS (GEOSPATIAL ACQUISITION SYSTEMS), BY KEY PLAYER, 2025 89
5.6.2 AVERAGE SELLING PRICE OF SOFTWARE AND SERVICES, 2025 89
5.7 TRADE ANALYSIS 91
5.7.1 IMPORT SCENARIO (HS CODE 9015) 91
5.7.2 EXPORT SCENARIO (HS CODE 9015) 93
5.8 KEY CONFERENCES AND EVENTS, 2025–2026 94
5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 95
5.10 INVESTMENT AND FUNDING SCENARIO 96
5.11 CASE STUDY ANALYSIS 97
5.11.1 CGI AND BELL CANADA TRANSFORM NETWORK WITH ENTERPRISE GEOSPATIAL PLATFORM 97
5.11.2 WHEROBOTS AND AARDEN.AI OVERCOME SCALING CHALLENGES WITH UNIFIED GEOSPATIAL PLATFORM 98
5.11.3 SOUTH KOREA AND NV5 INTEGRATE REMOTE SENSING TO IMPROVE FOREST GHG REPORTING 98
5.11.4 SYMAPS AND MAPBOX ENHANCE LOCATION INTELLIGENCE WITH GLOBAL MOVEMENT DATA 99
5.11.5 BAJAJ FINSERV IMPLEMENTS ESRI’S GEOSPATIAL PLATFORM SOLUTION TO IMPROVE CUSTOMER SERVICE 99
5.12 IMPACT OF 2025 US TARIFF – GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 100
5.12.1 INTRODUCTION 100
5.12.1.1 Tariff/trade policy updates (August–December 2025) 101
5.12.2 KEY TARIFF RATES 101
5.12.3 PRICE IMPACT ANALYSIS 102
5.12.3.1 Strategic shifts and emerging trends 102
5.12.4 IMPACT ON COUNTRIES/REGIONS 103
5.12.4.1 US 103
5.12.4.2 China 104
5.12.4.3 Europe 105
5.12.4.4 Asia Pacific (excluding China) 106
5.12.5 IMPACT ON END-USE INDUSTRIES 107
5.12.5.1 Energy & utilities 107
5.12.5.2 Government & defense 107
5.12.5.3 Telecommunications 108
5.12.5.4 Insurance & financial services 108
5.12.5.5 Real estate & construction 108
5.12.5.6 Automotive & transportation 109
5.12.5.7 Healthcare & life sciences 109
5.12.5.8 Mining 109
5.12.5.9 Agriculture 109
5.12.5.10 Other verticals (retail & e-commerce, media & entertainment, education, tourism) 110
6 STRATEGIC DISRUPTION: PATENTS, DIGITAL, AND AI ADOPTIONS 111
6.1 KEY EMERGING TECHNOLOGIES 111
6.1.1 ADVANCED AI/ML TECHNIQUES 111
6.1.2 REMOTE SENSING, EO, & MULTI-SENSOR DATA FUSION 111
6.1.3 HIGH-FIDELITY 3D MAPPING & DIGITAL TWINS 111
6.1.4 CLOUD & EDGE COMPUTING 112
6.2 COMPLEMENTARY TECHNOLOGIES 112
6.2.1 INTERNET OF THINGS (IOT) & SENSOR NETWORKS 112
6.2.2 5G CONNECTIVITY 113
6.2.3 FEDERATED LEARNING (FL) & PRIVACY-PRESERVING AI 113
6.3 ADJACENT TECHNOLOGIES 113
6.3.1 SPATIAL COMPUTING 113
6.3.2 GENERATIVE AI & GEOLLMS 114
6.3.3 BLOCKCHAIN 114
6.4 TECHNOLOGY ROADMAP 114
6.4.1 SHORT TERM (2025–2027): FOUNDATION AND STANDARDIZATION PHASE 115
6.4.2 MID TERM (2028–2030): CONVERGENCE AND AUTOMATION PHASE 115
6.4.3 LONG TERM (2031–2035): AUTONOMOUS AND COGNITIVE INTEROPERABILITY PHASE 116
6.5 PATENT ANALYSIS 116
6.5.1 METHODOLOGY 116
6.5.2 PATENTS FILED, BY DOCUMENT TYPE, 2016–2025 117
6.5.3 INNOVATION AND PATENT APPLICATIONS 117
7 REGULATORY LANDSCAPE 121
7.1 REGIONAL REGULATIONS AND COMPLIANCE 121
7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 121
7.1.2 KEY REGULATIONS 124
7.1.2.1 North America 124
7.1.2.1.1 Geospatial Data Act (GDA) of 2018 (US) 124
7.1.2.1.2 Open Government Directive of 2014 (Canada) 125
7.1.2.2 Europe 125
7.1.2.2.1 INSPIRE Directive 2007/2 (European Commission) 125
7.1.2.2.2 General Data Protection Regulation (European Union) 126
7.1.2.2.3 Copernicus Regulation 2021/696 (European Union) 126
7.1.2.3 Asia Pacific 126
7.1.2.3.1 Geospatial Information Regulation Act 2016 (India) 126
7.1.2.3.2 Surveying and Mapping Law 2002, Revised 2017 (China) 127
7.1.2.3.3 Basic Act on Advancement of Utilizing Geospatial Information, 2007 (Japan) 127
7.1.2.4 Middle East & Africa 128
7.1.2.4.1 Survey and Mapping Law (Saudi Arabia) 128
7.1.2.4.2 Spatial Data Infrastructure Act 54 of 2003 (South Africa) 128
7.1.2.5 Latin America 128
7.1.2.5.1 National Geospatial Data Infrastructure (INDE) Law (Brazil) 128
7.1.2.5.2 Geospatial Data Law 2020 (Mexico) 129
7.1.3 INDUSTRY STANDARDS 129
8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR 132
8.1 DECISION-MAKING PROCESS 132
8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 134
8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 134
8.2.2 BUYING CRITERIA 134
8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES 135
8.4 UNMET NEEDS OF VARIOUS INDUSTRY VERTICALS 136
9 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING 139
9.1 INTRODUCTION 140
9.1.1 OFFERING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 140
9.2 SOFTWARE 141
9.2.1 GEOAI & ML PLATFORMS 143
9.2.1.1 Advancing intelligent spatial analysis through integrated AI-driven platform capabilities 143
9.2.1.2 Agentic GIS & AI copilot 144
9.2.1.3 GeoAI cloud-native platform 144
9.2.1.4 GeoAI model catalogs 145
9.2.1.5 Other GeoAI & ML platforms 145
9.2.2 GEOSPATIAL ANALYTICS 146
9.2.2.1 Traditional GIS Solutions 146
9.2.2.1.1 Strengthening spatial decision-making through expanding demand for foundational GIS capabilities 146
9.2.2.1.2 Desktop GIS 147
9.2.2.1.3 Web/Enterprise GIS 148
9.2.2.1.4 Spatial databases 148
9.2.2.1.5 3D/4D mapping tools 148

9.2.2.2 Location intelligence (LI) 149
9.2.2.2.1 Enhancing spatial decision-making through advanced location intelligence capabilities 149
9.2.2.2.2 Spatial query & indexing engines 150
9.2.2.2.3 Geospatial visualization engines 150
9.2.2.2.4 Location enrichment tools 150
9.2.2.2.5 Spatial APIs & microservices 150
9.2.2.3 Data Processing & ETL 151
9.2.2.3.1 Advancing organizational security with unified policy enforcement 151
9.2.2.3.2 Geocoding engines 152
9.2.2.3.3 Spatial data integration tools 152
9.2.2.3.4 Raster/vector/CRS data conversion 152
9.3 GEOSPATIAL ACQUISITION SYSTEMS 153
9.3.1 SENSING & CAPTURE 154
9.3.1.1 Enhancing spatial data fidelity through advanced multimodal sensing innovations 154
9.3.1.2 Satellite imaging sensors 155
9.3.1.3 Aerial cameras 156
9.3.1.4 LiDAR/3D scanners 156
9.3.2 POSITIONING & TRACKING 156
9.3.2.1 Optimizing precision movement through advanced geospatial tracking technologies 156
9.3.2.2 GNSS receivers (RTK/PPP) 157
9.3.2.3 Inertial Measurement Units (IMU) 157
9.3.2.4 PNT (Position, Navigation, Timing) systems 158
9.4 SERVICES 158
9.4.1 CORE SERVICES 160
9.4.1.1 Accelerating adoption through expert-led integration and high-quality geospatial services 160
9.4.1.2 Consulting 161
9.4.1.3 Deployment & integration 161
9.4.1.4 Custom application development 161
9.4.1.5 Training & enablement 161
9.4.1.6 Data-integration services 162
9.4.2 MANAGED SERVICES 162
9.4.2.1 Accelerating scalable geospatial readiness through continuous cloud delivery and automation 162
9.4.2.2 Data-as-a-Service (DaaS) 163
9.4.2.3 Analytics-as-a-Service (AaaS) 163

10 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE 164
10.1 INTRODUCTION 165
10.1.1 CORE TECHNOLOGY ARCHITECTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 165
10.2 VECTOR & GIS ANALYTICS 166
10.2.1 ACCELERATING PRECISION MAPPING THROUGH AI-ENHANCED VECTOR ANALYSIS AND AUTOMATED GEOPROCESSING 166
10.2.2 GEOMETRIC ANALYSIS 167
10.2.3 SPATIAL STATISTICS 167
10.2.4 NETWORK ANALYSIS 168
10.3 RASTER & IMAGERY ANALYTICS 168
10.3.1 DRIVING REAL-TIME INSIGHT THROUGH AI-POWERED IMAGERY INTERPRETATION AND AUTOMATED CHANGE DETECTION 168
10.3.2 SATELLITE/AERIAL IMAGE PROCESSING 169
10.3.3 COMPUTER VISION 169
10.3.4 SPECTRAL ANALYSIS 170
10.4 STREAMING & REAL-TIME ANALYTICS 170
10.4.1 ENHANCING SITUATIONAL AWARENESS THROUGH AI-OPTIMIZED REAL-TIME GEOSPATIAL DATA PROCESSING 170
10.4.2 LIVE DATA PROCESSING 171
10.4.3 EVENT DETECTION 171
10.4.4 DYNAMIC OPTIMIZATION 172
10.5 GEOVISUALIZATION 172
10.5.1 ELEVATING DECISION CLARITY THROUGH INTERACTIVE SPATIAL VISUALIZATION AND AI-DRIVEN VISUAL INSIGHTS 172
10.5.2 DASHBOARD & REPORTING 173
10.5.3 THEMATIC MAPPING 173
10.5.4 3D/AR/VR OVERLAYS 174
11 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE 175
11.1 INTRODUCTION 176
11.1.1 DATA TYPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 176
11.2 IMAGERY DATA 177
11.2.1 ADVANCING HIGH-PRECISION INSIGHTS THROUGH INTELLIGENT UTILIZATION OF RICH IMAGERY DATA 177
11.2.2 SATELLITE IMAGERY 178
11.2.3 AERIAL/UAV IMAGERY 178
11.2.4 HYPERSPECTRAL DATA 179
11.2.5 SAR DATA 179

11.3 NON-IMAGERY DATA 179
11.3.1 STRENGTHENING CONTEXT-AWARE DECISION INTELLIGENCE THROUGH NON-IMAGERY SPATIAL DATA UTILIZATION 179
11.3.2 VECTOR DATA 180
11.3.3 3D SPATIAL DATA 181
11.3.4 CROWD-SOURCED DATA 181
11.3.5 LIDAR DATA 181
11.4 GEOTEMPORAL & FUSION 182
11.4.1 ADVANCING PREDICTIVE INSIGHT THROUGH INTEGRATED GEOTEMPORAL ANALYSIS AND MULTIMODAL DATA FUSION 182
11.4.2 SENSOR/IOT DATA 183
11.4.3 SOCIAL MEDIA GEOTAGGED DATA 183
11.4.4 MOBILE DEVICE LOCATION DATA 183
12 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION 184
12.1 INTRODUCTION 185
12.1.1 APPLICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 185
12.2 ASSET MONITORING & MANAGEMENT 187
12.2.1 DRIVING ASSET RELIABILITY THROUGH INTELLIGENT GEOSPATIAL MONITORING AND PREDICTIVE INSIGHT 187
12.3 RISK ASSESSMENT & MODELING 188
12.3.1 ENHANCING HAZARD FORESIGHT THROUGH INTELLIGENT GEOSPATIAL RISK MODELLING 188
12.4 PRECISION AGRICULTURE 189
12.4.1 ADVANCING FARM EFFICIENCY THROUGH INTELLIGENT GEOSPATIAL CROP OPTIMIZATION 189
12.5 DISASTER MANAGEMENT & RESPONSE 190
12.5.1 ENHANCING EMERGENCY PREPAREDNESS THROUGH ADVANCED GEOAI-DRIVEN DISASTER RESPONSE CAPABILITIES 190
12.6 URBAN PLANNING & DIGITAL TWINS 191
12.6.1 DRIVING ENTERPRISE EFFICIENCY, SECURITY, AND VISIBILITY IN SAAS OPERATIONS 191
12.7 SURVEILLANCE & SECURITY 192
12.7.1 ADVANCING THREAT DETECTION THROUGH GEOAI-ENABLED SURVEILLANCE AND SECURITY SYSTEMS 192
12.8 SUPPLY CHAIN & ROUTE OPTIMIZATION 193
12.8.1 BOOSTING LOGISTICS PERFORMANCE THROUGH GEOAI-ENABLED ROUTING AND SUPPLY CHAIN OPTIMIZATION 193
12.9 ENVIRONMENTAL & CLIMATE MONITORING 194
12.9.1 STRENGTHENING CLIMATE RESILIENCE THROUGH GEOAI-DRIVEN ENVIRONMENTAL MONITORING SYSTEMS 194

13 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL 196
13.1 INTRODUCTION 197
13.1.1 VERTICAL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 197
13.2 ENERGY & UTILITIES 199
13.2.1 ENHANCING GRID RESILIENCE AND ASSET INTELLIGENCE THROUGH ADVANCED SPATIAL ANALYTICS 199
13.3 GOVERNMENT & DEFENSE 200
13.3.1 STRENGTHENING NATIONAL SECURITY THROUGH AI-DRIVEN SPATIAL INTELLIGENCE AND SURVEILLANCE 200
13.4 TELECOMMUNICATION 201
13.4.1 NETWORK DENSIFICATION AND 5G EXPANSION DRIVING ADVANCED SPATIAL INTELLIGENCE ADOPTION 201
13.5 INSURANCE & FINANCIAL SERVICES 202
13.5.1 CLIMATE RISK TRANSPARENCY AND CLAIMS AUTOMATION DRIVING LOCATION-CENTRIC INTELLIGENCE ADOPTION 202
13.6 REAL ESTATE & CONSTRUCTION 203
13.6.1 RAPID URBAN DENSITY AND REGULATORY COMPLIANCE PRESSURES ACCELERATING SPATIAL INTELLIGENCE ADOPTION 203
13.7 AUTOMOTIVE & TRANSPORTATION 204
13.7.1 RISING DEMAND FOR REAL-TIME TRAFFIC OPTIMIZATION AND SMART FLEET ORCHESTRATION 204
13.8 HEALTHCARE & LIFE SCIENCES 205
13.8.1 EXPANDING PREVENTIVE CARE MODELS AND OUTBREAK PREPAREDNESS STRENGTHENING SPATIAL ANALYTICS ADOPTION 205
13.9 MINING 206
13.9.1 RISING COMMODITY DEMAND AND AUTOMATION IMPERATIVES ACCELERATING SPATIAL INTELLIGENCE INTEGRATION 206
13.10 AGRICULTURE 207
13.10.1 CLIMATE VOLATILITY AND PRECISION YIELD OPTIMIZATION ACCELERATING SPATIAL INTELLIGENCE ADOPTION 207
13.11 OTHER VERTICALS 208
14 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION 211
14.1 INTRODUCTION 212
14.2 NORTH AMERICA 214
14.2.1 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 214
14.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 215
14.2.3 US 221
14.2.3.1 Smart infrastructure and BIM-led digitization to accelerate location-based intelligence adoption 221
14.2.4 CANADA 226
14.2.4.1 Open data mandates and startup-driven innovation powering nationwide geospatial adoption 226

14.3 EUROPE 231
14.3.1 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 232
14.3.2 EUROPE: MACROECONOMIC OUTLOOK 232
14.3.3 UK 238
14.3.3.1 Government initiatives and defense partnerships to fuel advanced location Intelligence adoption 238
14.3.4 GERMANY 243
14.3.4.1 Satellite services, smart cities, and sustainability programs to drive advanced spatial innovation 243
14.3.5 FRANCE 249
14.3.5.1 Defense modernization, smart cities, and climate missions to support adoption of AI-driven spatial intelligence 249
14.3.6 ITALY 254
14.3.6.1 Satellite analytics and smart infrastructure programs accelerating digital location capabilities 254
14.3.7 REST OF EUROPE 260
14.4 ASIA PACIFIC 266
14.4.1 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 266
14.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 267
14.4.3 CHINA 273
14.4.3.1 Advancements in satellite technology, telecom infrastructure, and national security to drive growth 273
14.4.4 INDIA 279
14.4.4.1 Government-led geospatial policy, international collaboration, and infrastructure digitization to drive market expansion 279
14.4.5 JAPAN 284
14.4.5.1 Increase in focus on disaster management and adoption of GIS-based mapping technologies to fuel market growth 284
14.4.6 ASEAN 290
14.4.6.1 Smart cities, climate resilience, and cross-border trade to drive GeoAI adoption 290
14.4.7 REST OF ASIA PACIFIC 295
14.5 MIDDLE EAST & AFRICA 301
14.5.1 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 302
14.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 302
14.5.3 SAUDI ARABIA 308
14.5.3.1 Vision 2030, smart cities, and space investments to propel advanced spatial intelligence growth 308
14.5.4 UAE 314
14.5.4.1 Geospatial data leveraged for projects such as Smart Dubai and Abu Dhabi’s TAMM platform 314
14.5.5 TURKEY 319
14.5.5.1 Smart infrastructure modernization and disaster risk management to fuel geospatial adoption 319

14.5.6 SOUTH AFRICA 325
14.5.6.1 Mining automation, climate risk, and smart cities to fuel spatial AI adoption 325
14.5.7 REST OF MIDDLE EAST & AFRICA 330
14.6 LATIN AMERICA 336
14.6.1 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 337
14.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 337
14.6.3 BRAZIL 342
14.6.3.1 Initiatives like National Institute for Space Research to monitor Amazon and other critical ecosystems to boost market 342
14.6.4 MEXICO 348
14.6.4.1 Strategic push for nearshoring and focus on environmental sustainability to amplify demand 348
14.6.5 REST OF LATIN AMERICA 353
15 COMPETITIVE LANDSCAPE 360
15.1 OVERVIEW 360
15.2 KEY PLAYER STRATEGIES, 2020–2025 360
15.3 REVENUE ANALYSIS, 2020–2024 362
15.4 MARKET SHARE ANALYSIS, 2024 363
15.4.1 MARKET RANKING ANALYSIS, 2024 364
15.5 BRAND COMPARATIVE ANALYSIS 366
15.5.1 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL ACQUISITION SYSTEMS 366
15.5.1.1 Airbus (France) 367
15.5.1.2 Planet Labs (US) 367
15.5.1.3 Fugro (Netherlands) 367
15.5.1.4 Vexcel Imaging (Austria) 367
15.5.1.5 Capella Space (US) 367
15.5.2 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL INTELLIGENCE (GEOAI) SOFTWARE 368
15.5.2.1 Google (US) 368
15.5.2.2 ESRI (US) 368
15.5.2.3 Hexagon AB (Sweden) 369
15.5.2.4 TomTom (Netherlands) 369
15.5.2.5 Carto (US) 369
15.6 COMPANY EVALUATION MATRIX: KEY PLAYERS (SOFTWARE & SERVICES VENDORS) 369
15.6.1 STARS 369
15.6.2 EMERGING LEADERS 369
15.6.3 PERVASIVE PLAYERS 370
15.6.4 PARTICIPANTS 370

15.6.5 COMPANY FOOTPRINT: KEY PLAYERS (SOFTWARE & SERVICES VENDORS) 371
15.6.5.1 Company footprint 371
15.6.5.2 Regional footprint 372
15.6.5.3 Offering footprint 373
15.6.5.4 Core technology architecture footprint 374
15.6.5.5 Application footprint 375
15.6.5.6 Vertical footprint 376
15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS) 377
15.7.1 STARS 377
15.7.2 EMERGING LEADERS 377
15.7.3 PERVASIVE PLAYERS 377
15.7.4 PARTICIPANTS 377
15.7.5 COMPANY FOOTPRINT: KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS) 379
15.7.5.1 Company footprint 379
15.7.5.2 Regional footprint 379
15.7.5.3 Offering footprint 380
15.7.5.4 Core technology architecture footprint 380
15.7.5.5 Application footprint 381
15.7.5.6 Vertical footprint 381
15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES 382
15.8.1 PROGRESSIVE COMPANIES 382
15.8.2 RESPONSIVE COMPANIES 382
15.8.3 DYNAMIC COMPANIES 382
15.8.4 STARTING BLOCKS 383
15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 384
15.8.5.1 Detailed list of key startups/SMEs 384
15.8.5.2 Competitive benchmarking of key startups/SMEs 385
15.9 COMPANY VALUATION AND FINANCIAL METRICS 386
15.10 COMPETITIVE SCENARIO 387
15.10.1 PRODUCT LAUNCHES AND ENHANCEMENTS 387
15.10.2 DEALS 388
16 COMPANY PROFILES 390
16.1 INTRODUCTION 390
16.2 KEY PLAYERS 390
16.2.1 GOOGLE 390
16.2.1.1 Business overview 390
16.2.1.2 Products/Solutions/Services offered 392
16.2.1.3 Recent developments 392
16.2.1.3.1 Product launches & enhancements 392
16.2.1.3.2 Deals 394
16.2.1.4 MnM view 395
16.2.1.4.1 Key strengths 395
16.2.1.4.2 Strategic choices 395
16.2.1.4.3 Weaknesses and competitive threats 396
16.2.2 HEXAGON AB 397
16.2.2.1 Business overview 397
16.2.2.2 Products/Solutions/Services offered 398
16.2.2.3 Recent developments 400
16.2.2.3.1 Product launches & enhancements 400
16.2.2.3.2 Deals 401
16.2.2.4 MnM view 403
16.2.2.4.1 Key strengths 403
16.2.2.4.2 Strategic choices 403
16.2.2.4.3 Weaknesses and competitive threats 403
16.2.3 TOMTOM 404
16.2.3.1 Business overview 404
16.2.3.2 Products/Solutions/Services offered 405
16.2.3.3 Recent developments 406
16.2.3.3.1 Product launches & enhancements 406
16.2.3.3.2 Deals 407
16.2.3.4 MnM view 410
16.2.3.4.1 Key strengths 410
16.2.3.4.2 Strategic choices 410
16.2.3.4.3 Weaknesses and competitive threats 410
16.2.4 ALTERYX 411
16.2.4.1 Business overview 411
16.2.4.2 Products/Solutions/Services offered 411
16.2.4.3 Recent developments 412
16.2.4.3.1 Product launches & enhancements 412
16.2.4.3.2 Deals 413
16.2.4.4 MnM view 413
16.2.4.4.1 Key strengths 413
16.2.4.4.2 Strategic choices 413
16.2.4.4.3 Weaknesses and competitive threats 414
16.2.5 IBM 415
16.2.5.1 Business overview 415
16.2.5.2 Products/Solutions/Services offered 416
16.2.5.3 Recent developments 417
16.2.5.3.1 Product launches & enhancements 417
16.2.5.3.2 Deals 419

16.2.5.4 MnM view 419
16.2.5.4.1 Key strengths 419
16.2.5.4.2 Strategic choices 419
16.2.5.4.3 Weaknesses and competitive threats 420
16.2.6 AIRBUS 421
16.2.6.1 Business overview 421
16.2.6.2 Products/Solutions/Services offered 422
16.2.6.3 Recent developments 425
16.2.6.3.1 Product launches & enhancements 425
16.2.6.3.2 Deals 425
16.2.7 TRIMBLE 426
16.2.7.1 Business overview 426
16.2.7.2 Products/Solutions/Services offered 427
16.2.7.3 Recent developments 429
16.2.7.3.1 Product launches & enhancements 429
16.2.7.3.2 Deals 430
16.2.8 CALIPER CORPORATION 431
16.2.8.1 Business overview 431
16.2.8.2 Products/Solutions/Services offered 431
16.2.8.3 Recent developments 432
16.2.8.3.1 Product launches & enhancements 432
16.2.8.3.2 Deals 433
16.2.9 PRECISELY 434
16.2.9.1 Business overview 434
16.2.9.2 Products/Solutions/Services offered 434
16.2.9.3 Recent developments 435
16.2.9.3.1 Product launches & enhancements 435
16.2.9.3.2 Deals 436
16.2.10 ESRI 437
16.2.10.1 Business overview 437
16.2.10.2 Products/Solutions/Services offered 437
16.2.10.3 Recent developments 438
16.2.10.3.1 Product launches & enhancements 438
16.2.10.3.2 Deals 440
16.2.11 MICROSOFT 442
16.2.11.1 Business overview 442
16.2.11.2 Products/Solutions/Services offered 443
16.2.11.3 Recent developments 444
16.2.11.3.1 Product launches & enhancements 444
16.2.11.3.2 Deals 444

16.2.12 BENTLEY SYSTEMS 446
16.2.12.1 Business overview 446
16.2.12.2 Products/Solutions/Services offered 447
16.2.12.3 Recent developments 448
16.2.12.3.1 Product launches 448
16.2.12.3.2 Deals 449
16.2.13 HERE TECHNOLOGIES 450
16.2.13.1 Business overview 450
16.2.13.2 Products/Solutions/Services offered 451
16.2.13.3 Recent developments 451
16.2.13.3.1 Product launches and enhancements 451
16.2.13.3.2 Deals 452
16.2.14 NV5 GEOSPATIAL 454
16.2.14.1 Business overview 454
16.2.14.2 Products/Solutions/Services offered 454
16.2.14.3 Recent developments 456
16.2.14.3.1 Product launches 456
16.2.15 TELEDYNE GEOSPATIAL 457
16.2.15.1 Business overview 457
16.2.15.2 Products/Solutions/Services offered 458
16.2.15.3 Recent developments 460
16.2.15.3.1 Product launches 460
16.2.15.3.2 Deals 460
16.2.16 RMSI 461
16.2.17 LANTERIS SPACE SYSTEMS 462
16.2.18 VANTOR 463
16.2.19 MAPLARGE 464
16.2.20 BAE SYSTEMS 465
16.2.21 GENERAL ELECTRIC 466
16.2.22 FUGRO 467
16.2.23 PLANET LABS 468
16.2.24 SBL 469
16.2.25 ECS 470
16.2.26 AWS 471
16.2.27 CGI 472
16.3 STARTUPS/SMES 473
16.3.1 VEXEL IMAGING 473
16.3.2 CAPELLA SPACE 473
16.3.3 EARTHDAILY ANALYTICS 474
16.3.4 MAPIDEA 475
16.3.5 GEOSPIN (EMA SMARTSERVICE) 475
16.3.6 SPARKGEO 476
16.3.7 CARTO 476
16.3.8 MAPBOX 477
16.3.9 BLUE SKY ANALYTICS 478
16.3.10 LATITUDO40 479
16.3.11 ECOPIA.AI 480
16.3.12 SPATIAL.AI 481
16.3.13 DISTA 482
16.3.14 EOS DATA ANALYTICS 483
16.3.15 MAGNASOFT 484
16.3.16 WHEROBOTS 485
16.3.17 OUSTER 486
16.3.18 GEOWGS84.AI 487
16.3.19 EUROPA TECHNOLOGIES 488
16.3.20 MAPULAR 489
17 RESEARCH METHODOLOGY 490
17.1 RESEARCH DATA 490
17.1.1 SECONDARY DATA 491
17.1.2 PRIMARY DATA 491
17.1.2.1 Breakup of primary profiles 492
17.1.2.2 Key industry insights 492
17.2 DATA TRIANGULATION 493
17.3 MARKET SIZE ESTIMATION 494
17.3.1 TOP-DOWN APPROACH 494
17.3.2 BOTTOM-UP APPROACH 494
17.4 MARKET FORECAST 498
17.5 RESEARCH ASSUMPTIONS 499
17.6 RESEARCH LIMITATIONS 501
18 ADJACENT AND RELATED MARKETS 502
18.1 INTRODUCTION 502
18.2 GEOSPATIAL IMAGERY ANALYTICS MARKET – GLOBAL FORECAST TO 2030 502
18.2.1 MARKET DEFINITION 502
18.2.2 MARKET OVERVIEW 502
18.2.2.1 Geospatial imagery analytics market, by offering 502
18.2.2.2 Geospatial imagery analytics market, by data modality 503
18.2.2.3 Geospatial imagery analytics market, by vertical 504
18.2.2.4 Geospatial imagery analytics market, by region 505

18.3 LOCATION-BASED SERVICES (LBS) AND REAL-TIME LOCATION SYSTEMS (RTLS) MARKET – GLOBAL FORECAST TO 2028 506
18.3.1 MARKET DEFINITION 506
18.3.2 MARKET OVERVIEW 507
18.3.2.1 LBS and RTLS Market, by offering 507
18.3.2.2 LBS and RTLS market, by location type 508
18.3.2.3 LBS and RTLS market, by application 509
18.3.2.4 LBS and RTLS market, by vertical 510
18.3.2.5 LBS and RTLS market, by region 511
19 APPENDIX 512
19.1 DISCUSSION GUIDE 512
19.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 517
19.3 CUSTOMIZATION OPTIONS 519
19.4 RELATED REPORTS 519
19.5 AUTHOR DETAILS 520

LIST OF TABLES

TABLE 1 INCLUSIONS AND EXCLUSIONS 49
TABLE 2 US DOLLAR EXCHANGE RATE, 2019–2023 51
TABLE 3 IMPACT OF PORTER’S FIVE FORCES ON GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 76
TABLE 4 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021–2030 79
TABLE 5 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: ROLE OF COMPANIES IN ECOSYSTEM 83
TABLE 6 AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYER, 2025 89
TABLE 7 AVERAGE SELLING PRICE OF SOFTWARE AND SERVICES, 2025 90
TABLE 8 IMPORT DATA FOR HS CODE 9015-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD MILLION) 92
TABLE 9 EXPORT DATA FOR HS CODE 9015, BY COUNTRY, 2020–2024 (USD MILLION) 93
TABLE 10 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: LIST OF KEY CONFERENCES AND EVENTS, 2025–2026 94
TABLE 11 TARIFF/TRADE POLICY UPDATES (AUGUST–DECEMBER 2025) 101
TABLE 12 US ADJUSTED RECIPROCAL TARIFF RATES 101
TABLE 13 PATENTS FILED, 2016–2025 117
TABLE 14 LIST OF TOP PATENTS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
2024–2025 118
TABLE 15 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 121
TABLE 16 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 122
TABLE 17 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 123
TABLE 18 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 123
TABLE 19 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 124
TABLE 20 GLOBAL INDUSTRY STANDARDS FOR GEOSPATIAL DATA FORMATS & ENCODING 130
TABLE 21 GLOBAL INDUSTRY STANDARDS FOR METADATA & CATALOGING 130
TABLE 22 GLOBAL INDUSTRY STANDARDS FOR COORDINATE REFERENCE SYSTEMS (CRS) & GEODETIC 130
TABLE 23 GLOBAL INDUSTRY STANDARDS FOR EARTH OBSERVATION (EO) & REMOTE SENSING 131
TABLE 24 GLOBAL INDUSTRY STANDARDS FOR GEOSPATIAL SECURITY, PRIVACY, & COMPLIANCE 131
TABLE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 134
TABLE 26 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 135
TABLE 27 UNMET NEEDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY INDUSTRY VERTICAL 137
TABLE 28 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 141
TABLE 29 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 141
TABLE 30 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE,
2020–2024 (USD MILLION) 142
TABLE 31 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE,
2025–2030 (USD MILLION) 142
TABLE 32 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2020–2024 (USD MILLION) 143
TABLE 33 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2025–2030 (USD MILLION) 143
TABLE 34 GEOAI & ML PLATFORMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 144
TABLE 35 GEOAI & ML PLATFORMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 144
TABLE 36 GEOSPATIAL ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 146
TABLE 37 GEOSPATIAL ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 146
TABLE 38 TRADITIONAL GIS SOLUTIONS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 147
TABLE 39 TRADITIONAL GIS SOLUTIONS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 147
TABLE 40 LOCATION INTELLIGENCE (LI): GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 149
TABLE 41 LOCATION INTELLIGENCE (LI): GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 149
TABLE 42 DATA PROCESSING & ETL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 151
TABLE 43 DATA PROCESSING & ETL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 152
TABLE 44 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE, 2020–2024 (USD MILLION) 153
TABLE 45 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE, 2025–2030 (USD MILLION) 154
TABLE 46 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 154
TABLE 47 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 154
TABLE 48 SENSING & CAPTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 155
TABLE 49 SENSING & CAPTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 155
TABLE 50 POSITIONING & TRACKING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 157
TABLE 51 POSITIONING & TRACKING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 157
TABLE 52 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICES,
2020–2024 (USD MILLION) 159
TABLE 53 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICES,
2025–2030 (USD MILLION) 159
TABLE 54 SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2020–2024 (USD MILLION) 159
TABLE 55 SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2025–2030 (USD MILLION) 159
TABLE 56 CORE SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 160
TABLE 57 CORE SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 160
TABLE 58 MANAGED SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 162
TABLE 59 MANAGED SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 163
TABLE 60 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 166
TABLE 61 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 166
TABLE 62 VECTOR & GIS ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 167
TABLE 63 VECTOR & GIS ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 167
TABLE 64 RASTER & IMAGERY ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 169
TABLE 65 RASTER & IMAGERY ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 169
TABLE 66 STREAMING & REAL-TIME ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 171
TABLE 67 STREAMING & REAL-TIME ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 171
TABLE 68 GEOVISUALIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 173
TABLE 69 GEOVISUALIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 173
TABLE 70 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 177
TABLE 71 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 177
TABLE 72 IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2020–2024 (USD MILLION) 178
TABLE 73 IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2025–2030 (USD MILLION) 178
TABLE 74 NON-IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 180
TABLE 75 NON-IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 180
TABLE 76 GEOTEMPORAL & FUSION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 182
TABLE 77 GEOTEMPORAL & FUSION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 182
TABLE 78 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 186
TABLE 79 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 187
TABLE 80 ASSET MONITORING & MANAGEMENT: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 188
TABLE 81 ASSET MONITORING & MANAGEMENT: GEOSPATIAL INTELLIGENCE (GEOAI),
BY REGION, 2025–2030 (USD MILLION) 188
TABLE 82 RISK ASSESSMENT & MODELING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 189
TABLE 83 RISK ASSESSMENT & MODELING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 189
TABLE 84 PRECISION AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 190
TABLE 85 PRECISION AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 190
TABLE 86 DISASTER MANAGEMENT & RESPONSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 191
TABLE 87 DISASTER MANAGEMENT & RESPONSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 191
TABLE 88 URBAN PLANNING & DIGITAL TWINS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 192
TABLE 89 URBAN PLANNING & DIGITAL TWINS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 192
TABLE 90 SURVEILLANCE & SECURITY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 193
TABLE 91 SURVEILLANCE & SECURITY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 193
TABLE 92 SUPPLY CHAIN & ROUTE OPTIMIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 194
TABLE 93 SUPPLY CHAIN & ROUTE OPTIMIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 194
TABLE 94 ENVIRONMENTAL & CLIMATE MONITORING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 195
TABLE 95 ENVIRONMENTAL & CLIMATE MONITORING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 195
TABLE 96 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 198
TABLE 97 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 199
TABLE 98 ENERGY & UTILITIES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 200
TABLE 99 ENERGY & UTILITIES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 200
TABLE 100 GOVERNMENT & DEFENSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 201
TABLE 101 GOVERNMENT & DEFENSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 201
TABLE 102 TELECOMMUNICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 202
TABLE 103 TELECOMMUNICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 202
TABLE 104 INSURANCE & FINANCIAL SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 203
TABLE 105 INSURANCE & FINANCIAL SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 203
TABLE 106 REAL ESTATE & CONSTRUCTION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 204
TABLE 107 REAL ESTATE & CONSTRUCTION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 204
TABLE 108 AUTOMOTIVE & TRANSPORTATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 205
TABLE 109 AUTOMOTIVE & TRANSPORTATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 205
TABLE 110 HEALTHCARE & LIFE SCIENCES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2020–2024 (USD MILLION) 206
TABLE 111 HEALTHCARE & LIFE SCIENCES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY REGION, 2025–2030 (USD MILLION) 206
TABLE 112 MINING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2020–2024 (USD MILLION) 207
TABLE 113 MINING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2025–2030 (USD MILLION) 207
TABLE 114 AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2020–2024 (USD MILLION) 208
TABLE 115 AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2025–2030 (USD MILLION) 208
TABLE 116 OTHER VERTICALS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020–2024 (USD MILLION) 210
TABLE 117 OTHER VERTICALS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025–2030 (USD MILLION) 210
TABLE 118 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2020–2024 (USD MILLION) 213
TABLE 119 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION,
2025–2030 (USD MILLION) 213
TABLE 120 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020–2024 (USD MILLION) 216
TABLE 121 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025–2030 (USD MILLION) 216
TABLE 122 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 216
TABLE 123 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 216
TABLE 124 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 217
TABLE 125 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 217
TABLE 126 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020–2024 USD MILLION) 217
TABLE 127 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025–2030 (USD MILLION) 217
TABLE 128 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 218
TABLE 129 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 218
TABLE 130 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 218
TABLE 131 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 218
TABLE 132 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 219
TABLE 133 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 219
TABLE 134 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 220
TABLE 135 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 220
TABLE 136 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 220
TABLE 137 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 221
TABLE 138 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 221
TABLE 139 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 222
TABLE 140 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 222
TABLE 141 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 222
TABLE 142 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 222
TABLE 143 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 223
TABLE 144 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 223
TABLE 145 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 223
TABLE 146 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 223
TABLE 147 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 224
TABLE 148 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 224
TABLE 149 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 224
TABLE 150 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 225
TABLE 151 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 225
TABLE 152 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 226
TABLE 153 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 226
TABLE 154 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 227
TABLE 155 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 227
TABLE 156 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 227
TABLE 157 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 228
TABLE 158 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 228
TABLE 159 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 228
TABLE 160 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 228
TABLE 161 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 229
TABLE 162 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 229
TABLE 163 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 229
TABLE 164 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 229
TABLE 165 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 230
TABLE 166 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 230
TABLE 167 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 230
TABLE 168 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 231
TABLE 169 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 231
TABLE 170 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 233
TABLE 171 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 233
TABLE 172 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 233
TABLE 173 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 234
TABLE 174 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 234
TABLE 175 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 234
TABLE 176 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 234
TABLE 177 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 235
TABLE 178 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 235
TABLE 179 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 235
TABLE 180 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 235
TABLE 181 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 236
TABLE 182 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 236
TABLE 183 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 236
TABLE 184 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 237
TABLE 185 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 237
TABLE 186 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 238
TABLE 187 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 238
TABLE 188 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 239
TABLE 189 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 239
TABLE 190 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 239
TABLE 191 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 240
TABLE 192 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 240
TABLE 193 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 240
TABLE 194 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 240
TABLE 195 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 241
TABLE 196 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 241
TABLE 197 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 241
TABLE 198 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 241
TABLE 199 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 242
TABLE 200 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 242
TABLE 201 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 242
TABLE 202 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 243
TABLE 203 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 243
TABLE 204 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 244
TABLE 205 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 244
TABLE 206 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 245
TABLE 207 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 245
TABLE 208 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 245
TABLE 209 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 245
TABLE 210 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 246
TABLE 211 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 246
TABLE 212 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 246
TABLE 213 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 246
TABLE 214 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 247
TABLE 215 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 247
TABLE 216 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 247
TABLE 217 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 248
TABLE 218 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 248
TABLE 219 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 249
TABLE 220 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 250
TABLE 221 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 250
TABLE 222 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 250
TABLE 223 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 250
TABLE 224 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 251
TABLE 225 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 251
TABLE 226 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 251
TABLE 227 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 251
TABLE 228 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 252
TABLE 229 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 252
TABLE 230 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 252
TABLE 231 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 252
TABLE 232 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 253
TABLE 233 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 253
TABLE 234 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 254
TABLE 235 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 254
TABLE 236 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 255
TABLE 237 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 255
TABLE 238 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 256
TABLE 239 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 256
TABLE 240 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 256
TABLE 241 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 256
TABLE 242 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 257
TABLE 243 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 257
TABLE 244 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 257
TABLE 245 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 257
TABLE 246 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 258
TABLE 247 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 258
TABLE 248 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 258
TABLE 249 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 259
TABLE 250 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 259
TABLE 251 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 260
TABLE 252 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020–2024 (USD MILLION) 261
TABLE 253 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025–2030 (USD MILLION) 261
TABLE 254 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 262
TABLE 255 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 262
TABLE 256 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 262
TABLE 257 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 262
TABLE 258 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020–2024 USD MILLION) 263
TABLE 259 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025–2030 (USD MILLION) 263
TABLE 260 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 263
TABLE 261 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 263
TABLE 262 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 264
TABLE 263 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 264
TABLE 264 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 264
TABLE 265 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 265
TABLE 266 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 265
TABLE 267 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 266
TABLE 268 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 268
TABLE 269 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 268
TABLE 270 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 268
TABLE 271 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 268
TABLE 272 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 269
TABLE 273 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 269
TABLE 274 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 269
TABLE 275 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 269
TABLE 276 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 270
TABLE 277 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 270
TABLE 278 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 270
TABLE 279 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 270
TABLE 280 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 271
TABLE 281 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 271
TABLE 282 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 272
TABLE 283 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 272
TABLE 284 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 273
TABLE 285 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 273
TABLE 286 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 274
TABLE 287 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 274
TABLE 288 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 275
TABLE 289 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 275
TABLE 290 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 275
TABLE 291 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 275
TABLE 292 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 276
TABLE 293 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 276
TABLE 294 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 276
TABLE 295 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 276
TABLE 296 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 277
TABLE 297 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 277
TABLE 298 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 277
TABLE 299 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 278
TABLE 300 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 278
TABLE 301 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 279
TABLE 302 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 280
TABLE 303 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 280
TABLE 304 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 280
TABLE 305 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 281
TABLE 306 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 281
TABLE 307 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 281
TABLE 308 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 281
TABLE 309 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 282
TABLE 310 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 282
TABLE 311 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 282
TABLE 312 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 282
TABLE 313 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 283
TABLE 314 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 283
TABLE 315 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 283
TABLE 316 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 284
TABLE 317 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 284
TABLE 318 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 285
TABLE 319 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 285
TABLE 320 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 286
TABLE 321 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 286
TABLE 322 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 286
TABLE 323 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 286
TABLE 324 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 287
TABLE 325 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 287
TABLE 326 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 287
TABLE 327 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 287
TABLE 328 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 288
TABLE 329 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 288
TABLE 330 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 288
TABLE 331 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 289
TABLE 332 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 289
TABLE 333 JAPAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 290
TABLE 334 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 291
TABLE 335 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 291
TABLE 336 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 291
TABLE 337 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 291
TABLE 338 2025–2030 (USD MILLION) 291
TABLE 339 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 292
TABLE 340 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 292
TABLE 341 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 292
TABLE 342 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 292
TABLE 343 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 293
TABLE 344 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 293
TABLE 345 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 293
TABLE 346 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 293
TABLE 347 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 294
TABLE 348 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 294
TABLE 349 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 295
TABLE 350 ASEAN: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 295
TABLE 351 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY OFFERING, 2020–2024 (USD MILLION) 296
TABLE 352 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY OFFERING, 2025–2030 (USD MILLION) 297
TABLE 353 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SOFTWARE, 2020–2024 (USD MILLION) 297
TABLE 354 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SOFTWARE, 2025–2030 (USD MILLION) 297
TABLE 355 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 297
TABLE 356 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 298
TABLE 357 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020–2024 USD MILLION) 298
TABLE 358 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025–2030 (USD MILLION) 298
TABLE 359 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 298
TABLE 360 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 299
TABLE 361 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 299
TABLE 362 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 299
TABLE 363 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY APPLICATION, 2020–2024 (USD MILLION) 300
TABLE 364 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY APPLICATION, 2025–2030 (USD MILLION) 300
TABLE 365 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 301
TABLE 366 REST OF ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 301
TABLE 367 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY OFFERING, 2020–2024 (USD MILLION) 303
TABLE 368 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY OFFERING, 2025–2030 (USD MILLION) 303
TABLE 369 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SOFTWARE, 2020–2024 (USD MILLION) 303
TABLE 370 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SOFTWARE, 2025–2030 (USD MILLION) 304
TABLE 371 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 304
TABLE 372 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 304
TABLE 373 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SERVICE, 2020–2024 USD MILLION) 304
TABLE 374 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SERVICE, 2025–2030 (USD MILLION) 305
TABLE 375 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 305
TABLE 376 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 305
TABLE 377 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 305
TABLE 378 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 306
TABLE 379 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY APPLICATION, 2020–2024 (USD MILLION) 306
TABLE 380 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY APPLICATION, 2025–2030 (USD MILLION) 306
TABLE 381 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY VERTICAL, 2020–2024 (USD MILLION) 307
TABLE 382 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY VERTICAL, 2025–2030 (USD MILLION) 307
TABLE 383 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY COUNTRY, 2020–2024 (USD MILLION) 308
TABLE 384 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY COUNTRY, 2025–2030 (USD MILLION) 308
TABLE 385 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020–2024 (USD MILLION) 309
TABLE 386 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025–2030 (USD MILLION) 309
TABLE 387 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 310
TABLE 388 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 310
TABLE 389 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 310
TABLE 390 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 310
TABLE 391 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 311
TABLE 392 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 311
TABLE 393 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 311
TABLE 394 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 311
TABLE 395 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 312
TABLE 396 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 312
TABLE 397 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 312
TABLE 398 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 313
TABLE 399 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 313
TABLE 400 SAUDI ARABIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 314
TABLE 401 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 315
TABLE 402 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 315
TABLE 403 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 315
TABLE 404 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 316
TABLE 405 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 316
TABLE 406 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 316
TABLE 407 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 316
TABLE 408 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 317
TABLE 409 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 317
TABLE 410 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 317
TABLE 411 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 317
TABLE 412 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 318
TABLE 413 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 318
TABLE 414 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 318
TABLE 415 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 319
TABLE 416 UAE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 319
TABLE 417 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 320
TABLE 418 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 320
TABLE 419 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 321
TABLE 420 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 321
TABLE 421 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 321
TABLE 422 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 321
TABLE 423 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 322
TABLE 424 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 322
TABLE 425 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 322
TABLE 426 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 322
TABLE 427 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 323
TABLE 428 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 323
TABLE 429 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 323
TABLE 430 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 324
TABLE 431 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 324
TABLE 432 TURKEY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 325
TABLE 433 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020–2024 (USD MILLION) 326
TABLE 434 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025–2030 (USD MILLION) 326
TABLE 435 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 326
TABLE 436 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 326
TABLE 437 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 327
TABLE 438 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 327
TABLE 439 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 327
TABLE 440 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 327
TABLE 441 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 328
TABLE 442 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 328
TABLE 443 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 328
TABLE 444 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 328
TABLE 445 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 329
TABLE 446 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 329
TABLE 447 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 330
TABLE 448 SOUTH AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 330
TABLE 449 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020–2024 (USD MILLION) 332
TABLE 450 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025–2030 (USD MILLION) 332
TABLE 451 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 332
TABLE 452 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 332
TABLE 453 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 333
TABLE 454 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 333
TABLE 455 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020–2024 USD MILLION) 333
TABLE 456 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025–2030 (USD MILLION) 333
TABLE 457 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 334
TABLE 458 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 334
TABLE 459 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY DATA TYPE, 2020–2024 (USD MILLION) 334
TABLE 460 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY DATA TYPE, 2025–2030 (USD MILLION) 334
TABLE 461 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 335
TABLE 462 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 335
TABLE 463 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 336
TABLE 464 REST OF MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 336
TABLE 465 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020–2024 (USD MILLION) 338
TABLE 466 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025–2030 (USD MILLION) 338
TABLE 467 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 338
TABLE 468 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 339
TABLE 469 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 339
TABLE 470 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 339
TABLE 471 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020–2024 USD MILLION) 339
TABLE 472 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025–2030 (USD MILLION) 340
TABLE 473 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 340
TABLE 474 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 340
TABLE 475 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 340
TABLE 476 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 341
TABLE 477 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020–2024 (USD MILLION) 341
TABLE 478 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 341
TABLE 479 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 342
TABLE 480 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 342
TABLE 481 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 343
TABLE 482 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 343
TABLE 483 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 344
TABLE 484 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 344
TABLE 485 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 344
TABLE 486 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 344
TABLE 487 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 345
TABLE 488 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 345
TABLE 489 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 345
TABLE 490 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 345
TABLE 491 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 346
TABLE 492 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 346
TABLE 493 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 346
TABLE 494 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 347
TABLE 495 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 347
TABLE 496 BRAZIL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 348
TABLE 497 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2020–2024 (USD MILLION) 349
TABLE 498 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING,
2025–2030 (USD MILLION) 349
TABLE 499 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2020–2024 (USD MILLION) 349
TABLE 500 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE,
2025–2030 (USD MILLION) 349
TABLE 501 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 350
TABLE 502 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 350
TABLE 503 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2020–2024 USD MILLION) 350
TABLE 504 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE,
2025–2030 (USD MILLION) 350
TABLE 505 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 351
TABLE 506 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 351
TABLE 507 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 351
TABLE 508 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 351
TABLE 509 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2020–2024 (USD MILLION) 352
TABLE 510 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 352
TABLE 511 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 353
TABLE 512 MEXICO: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 353
TABLE 513 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY OFFERING, 2020–2024 (USD MILLION) 354
TABLE 514 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY OFFERING, 2025–2030 (USD MILLION) 355
TABLE 515 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SOFTWARE, 2020–2024 (USD MILLION) 355
TABLE 516 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SOFTWARE, 2025–2030 (USD MILLION) 355
TABLE 517 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY GEOSPATIAL ACQUISITION SYSTEM, 2020–2024 USD MILLION) 355
TABLE 518 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY GEOSPATIAL ACQUISITION SYSTEM, 2025–2030 (USD MILLION) 356
TABLE 519 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SERVICE, 2020–2024 USD MILLION) 356
TABLE 520 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY SERVICE, 2025–2030 (USD MILLION) 356
TABLE 521 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020–2024 (USD MILLION) 356
TABLE 522 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025–2030 (USD MILLION) 357
TABLE 523 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 357
TABLE 524 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 357
TABLE 525 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY APPLICATION, 2020–2024 (USD MILLION) 358
TABLE 526 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY APPLICATION, 2025–2030 (USD MILLION) 358
TABLE 527 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY VERTICAL, 2020–2024 (USD MILLION) 359
TABLE 528 REST OF LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET,
BY VERTICAL, 2025–2030 (USD MILLION) 359
TABLE 529 OVERVIEW OF STRATEGIES ADOPTED BY KEY GEOSPATIAL INTELLIGENCE (GEOAI) VENDORS, 2020–2025 360
TABLE 530 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: DEGREE OF COMPETITION 364
TABLE 531 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: REGIONAL FOOTPRINT (27 PLAYERS) 372
TABLE 532 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: OFFERING FOOTPRINT (27 PLAYERS) 373
TABLE 533 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: CORE TECHNOLOGY ARCHITECTURE FOOTPRINT (27 PLAYERS) 374
TABLE 534 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: APPLICATION FOOTPRINT
(27 PLAYERS) 375
TABLE 535 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: VERTICAL FOOTPRINT (27 PLAYERS) 376
TABLE 536 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: REGIONAL FOOTPRINT (12 PLAYERS) 379
TABLE 537 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: OFFERING FOOTPRINT (12 PLAYERS) 380
TABLE 538 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: CORE TECHNOLOGY ARCHITECTURE FOOTPRINT (12 PLAYERS) 380
TABLE 539 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: APPLICATION FOOTPRINT
(12 PLAYERS) 381
TABLE 540 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: VERTICAL FOOTPRINT (12 PLAYERS) 381
TABLE 541 GEOSPATIAL INTELLIGENCE MARKET: KEY STARTUPS/SMES, 2024 384
TABLE 542 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 385
TABLE 543 GEOSPATIAL INTELLIGENCE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, 2022–2025 387
TABLE 544 GEOSPATIAL INTELLIGENCE MARKET: DEALS, 2022–2025 388
TABLE 545 GOOGLE: COMPANY OVERVIEW 391
TABLE 546 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 392
TABLE 547 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS 392
TABLE 548 GOOGLE: DEALS 394
TABLE 549 HEXAGON AB: COMPANY OVERVIEW 397
TABLE 550 HEXAGON AB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 398
TABLE 551 HEXAGON AB: PRODUCT LAUNCHES & ENHANCEMENTS 400
TABLE 552 HEXAGON AB: DEALS 401
TABLE 553 TOMTOM: COMPANY OVERVIEW 404
TABLE 554 TOMTOM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 405
TABLE 555 TOMTOM: PRODUCT LAUNCHES & ENHANCEMENTS 406
TABLE 556 TOMTOM: DEALS 407
TABLE 557 ALTERYX: COMPANY OVERVIEW 411
TABLE 558 ALTERYX: PRODUCTS/SOLUTIONS/SERVICES OFFERED 411
TABLE 559 ALTERYX: PRODUCT LAUNCHES & ENHANCEMENTS 412
TABLE 560 ALTERYX: DEALS 413
TABLE 561 IBM: COMPANY OVERVIEW 415
TABLE 562 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 416
TABLE 563 IBM: PRODUCT LAUNCHES & ENHANCEMENTS 417
TABLE 564 IBM: DEALS 419
TABLE 565 AIRBUS: COMPANY OVERVIEW 421
TABLE 566 AIRBUS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 422
TABLE 567 AIRBUS: PRODUCT LAUNCHES & ENHANCEMENTS 425
TABLE 568 AIRBUS: DEALS 425
TABLE 569 TRIMBLE: COMPANY OVERVIEW 426
TABLE 570 TRIMBLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 427
TABLE 571 TRIMBLE: PRODUCT LAUNCHES & ENHANCEMENTS 429
TABLE 572 TRIMBLE: DEALS 430
TABLE 573 CALIPER CORPORATION: COMPANY OVERVIEW 431
TABLE 574 CALIPER CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 431
TABLE 575 CALIPER CORPORATION: PRODUCT LAUNCHES & ENHANCEMENTS 432
TABLE 576 CALIPER CORPORATION: DEALS 433
TABLE 577 PRECISELY: COMPANY OVERVIEW 434
TABLE 578 PRECISELY: PRODUCTS/SOLUTIONS/SERVICES OFFERED 434
TABLE 579 PRECISELY: PRODUCT LAUNCHES & ENHANCEMENTS 435
TABLE 580 PRECISELY: DEALS 436
TABLE 581 ESRI: COMPANY OVERVIEW 437
TABLE 582 ESRI: PRODUCTS/SOLUTIONS/SERVICES OFFERED 437
TABLE 583 ESRI: PRODUCT LAUNCHES & ENHANCEMENTS 438
TABLE 584 ESRI: DEALS 440
TABLE 585 MICROSOFT: COMPANY OVERVIEW 442
TABLE 586 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 443
TABLE 587 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS 444
TABLE 588 MICROSOFT: DEALS 444
TABLE 589 BENTLEY SYSTEMS: COMPANY OVERVIEW 446
TABLE 590 BENTLEY SYSTEMS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 447
TABLE 591 BENTLEY SYSTEMS: PRODUCT LAUNCHES & ENHANCEMENTS 448
TABLE 592 BENTLEY SYSTEMS: DEALS 449
TABLE 593 HERE TECHNOLOGIES: COMPANY OVERVIEW 450
TABLE 594 HERE TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED 451
TABLE 595 HERE TECHNOLOGIES: PRODUCT LAUNCHES & ENHANCEMENTS 451
TABLE 596 HERE TECHNOLOGIES: DEALS 452
TABLE 597 NV5 GEOSPATIAL: COMPANY OVERVIEW 454
TABLE 598 NV5 GEOSPATIAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED 454
TABLE 599 NV5 GEOSPATIAL: PRODUCT LAUNCHES & ENHANCEMENTS 456
TABLE 600 TELEDYNE GEOSPATIAL: COMPANY OVERVIEW 457
TABLE 601 TELEDYNE GEOSPATIAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED 458
TABLE 602 TELEDYNE GEOSPATIAL: PRODUCT LAUNCHES & ENHANCEMENTS 460
TABLE 603 TELEDYNE GEOSPATIAL: DEALS 460
TABLE 604 PRIMARY INTERVIEWS 491
TABLE 605 FACTOR ANALYSIS 498
TABLE 606 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY OFFERING,
2020–2024 (USD MILLION) 503
TABLE 607 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY OFFERING,
2025–2030 (USD MILLION) 503
TABLE 608 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY DATA MODALITY,
2020–2024 (USD MILLION) 504
TABLE 609 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY DATA MODALITY,
2025–2030 (USD MILLION) 504
TABLE 610 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 505
TABLE 611 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 505
TABLE 612 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY REGION,
2020–2024 (USD MILLION) 506
TABLE 613 GEOSPATIAL IMAGERY ANALYTICS MARKET, BY REGION,
2025–2030 (USD MILLION) 506
TABLE 614 LBS AND RTLS MARKET, BY OFFERING, 2017–2022 (USD MILLION) 508
TABLE 615 LBS AND RTLS MARKET, BY OFFERING, 2023–2028 (USD MILLION) 508
TABLE 616 LBS AND RTLS MARKET, BY LOCATION TYPE, 2017–2022 (USD MILLION) 508
TABLE 617 LBS AND RTLS MARKET, BY LOCATION TYPE, 2023–2028 (USD MILLION) 509
TABLE 618 LBS AND RTLS MARKET, BY APPLICATION, 2017–2022 (USD MILLION) 509
TABLE 619 LBS AND RTLS MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 509
TABLE 620 LBS AND RTLS MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 510
TABLE 621 LBS AND RTLS MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 510
TABLE 622 LBS AND RTLS MARKET, BY REGION, 2017–2022 (USD MILLION) 511
TABLE 623 LBS AND RTLS MARKET, BY REGION, 2023–2028 (USD MILLION) 511

LIST OF FIGURES

FIGURE 1 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET SEGMENTATION 50
FIGURE 2 YEARS CONSIDERED 51
FIGURE 3 MARKET SCENARIO 55
FIGURE 4 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, 2020–2025 56
FIGURE 5 DISRUPTIONS INFLUENCING GROWTH OF GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 57
FIGURE 6 HIGH-GROWTH SEGMENTS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, 2025–2030 58
FIGURE 7 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, IN TERMS OF VALUE, DURING FORECAST PERIOD 59
FIGURE 8 RAPID SCALE-UP OF SATELLITE PROGRAMS, DIGITAL MAPPING INFRASTRUCTURE, AND AI-ENABLED ANALYTICS MAKE ASIA PACIFIC KEY GROWTH HUB FOR GEOSPATIAL INTELLIGENCE (GEOAI) 60
FIGURE 9 URBAN PLANNING & DIGITAL TWINS SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD 61
FIGURE 10 IMAGERY DATA TYPE AND SOFTWARE OFFERING TO BE LARGEST SHAREHOLDERS IN NORTH AMERICAN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET IN 2025 61
FIGURE 11 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025 62
FIGURE 12 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 64
FIGURE 13 EVOLUTION OF GEOSPATIAL INTELLIGENCE (GEOAI) 74
FIGURE 14 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: PORTER’S FIVE FORCES ANALYSIS 76
FIGURE 15 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: SUPPLY CHAIN ANALYSIS 81
FIGURE 16 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: ECOSYSTEM ANALYSIS 85
FIGURE 17 IMPORT DATA FOR HS CODE 9015-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD MILLION) 92
FIGURE 18 EXPORT DATA FOR HS CODE 9015-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD MILLION) 94
FIGURE 19 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 96
FIGURE 20 LEADING GEOSPATIAL INTELLIGENCE STARTUPS, BY FUNDING VALUE
(USD MILLION) AND FUNDING ROUND, UNTIL 2025 96
FIGURE 21 NUMBER OF PATENTS APPLIED AND GRANTED, 2016–2025 117
FIGURE 22 REGIONAL ANALYSIS OF PATENTS GRANTED, 2016–2025 120
FIGURE 23 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DECISION-MAKING FACTORS 133
FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 134
FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 134
FIGURE 26 ADOPTION BARRIERS AND INTERNAL CHALLENGES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 136
FIGURE 27 SOFTWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD 141
FIGURE 28 TRADITIONAL GIS SOLUTIONS TO LEAD MARKET FROM 2025 TO 2030 142
FIGURE 29 SENSING & CAPTURE SEGMENT TO LEAD MARKET FROM 2025 TO 2030 153
FIGURE 30 CORE SERVICES SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD 158
FIGURE 31 STREAMING & REAL-TIME ANALYTICS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 165
FIGURE 32 IMAGERY DATA SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 176
FIGURE 33 URBAN PLANNING & DIGITAL TWINS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 186
FIGURE 34 HEALTHCARE & LIFE SCIENCES SEGMENT TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD 198
FIGURE 35 ASIA PACIFIC TO LEAD IN TERMS OF MARKET GROWTH 212
FIGURE 36 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD 213
FIGURE 37 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET SNAPSHOT 215
FIGURE 38 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET SNAPSHOT 267
FIGURE 39 TOP FIVE PUBLIC PLAYERS DOMINATING MARKET OVER FIVE YEARS 362
FIGURE 40 SHARE OF LEADING COMPANIES IN GEOSPATIAL INTELLIGENCE (GEOAI)
MARKET, 2024 364
FIGURE 41 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL ACQUISITION SYSTEMS 366
FIGURE 42 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL INTELLIGENCE (GEOAI) SOFTWARE 368
FIGURE 43 GEOSPATIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX,
KEY PLAYERS (SOFTWARE & SERVICES VENDORS), 2024 370
FIGURE 44 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: COMPANY FOOTPRINT
(27 PLAYERS) 371
FIGURE 45 GEOSPATIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX,
KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS), 2024 378
FIGURE 46 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: COMPANY FOOTPRINT
(12 PLAYERS) 379
FIGURE 47 GEOSPATIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 383
FIGURE 48 FINANCIAL METRICS OF KEY VENDORS, 2025 386
FIGURE 49 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF
KEY VENDORS, 2025 387
FIGURE 50 GOOGLE: COMPANY SNAPSHOT 391
FIGURE 51 HEXAGON AB: COMPANY SNAPSHOT 398
FIGURE 52 TOMTOM: COMPANY SNAPSHOT 405
FIGURE 53 IBM: COMPANY SNAPSHOT 416
FIGURE 54 AIRBUS: COMPANY SNAPSHOT 422
FIGURE 55 TRIMBLE: COMPANY SNAPSHOT 427
FIGURE 56 MICROSOFT: COMPANY SNAPSHOT 443
FIGURE 57 BENTLEY SYSTEMS: COMPANY SNAPSHOT 447
FIGURE 58 TELEDYNE GEOSPATIAL: COMPANY SNAPSHOT 458
FIGURE 59 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: RESEARCH DESIGN 490
FIGURE 60 DATA TRIANGULATION 493
FIGURE 61 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 494
FIGURE 62 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1, BOTTOM-UP
(SUPPLY-SIDE): REVENUE FROM SOFTWARE AND SERVICES OF GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 495
FIGURE 63 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2, BOTTOM-UP
(SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE AND SERVICES OF GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 496
FIGURE 64 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 3, BOTTOM-UP
(SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE AND SERVICES OF GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 497
FIGURE 65 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM-UP
(DEMAND-SIDE): SHARE OF GEOSPATIAL INTELLIGENCE (GEOAI) THROUGH OVERALL DATA MANAGEMENT AND ANALYTICS SPENDING 497


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