鉱業におけるAI市場規模、シェア、動向、2032年までの世界予測

鉱業におけるAI市場は、2025年の26億米ドルから2032年には99億3000万米ドルに拡大し、2025年から2032年にかけて年平均成長率（CAGR）21.1%で成長すると予測されています。鉱業におけるAI市場は、急速なデジタルトランスフォーメーションと、鉱業現場におけるIoT、クラウドコンピューティング、5G接続の導入拡大によって牽引されています。自律走行運搬システム、スマート掘削、フリート管理プラットフォームの導入拡大は、特に複雑でアクセスが困難な鉱業現場における自動化と遠隔操作の実現を加速させます。

調査範囲：

本調査レポートは、マイニングAI市場を、提供内容、マイニングの種類、導入形態、技術、用途、業種、地域に基づいて分類しています。本レポートでは、マイニングAI市場における主要な推進要因、制約要因、課題、機会を解説し、2032年までの予測を示しています。さらに、本レポートには、マイニングAI市場エコシステムに含まれるすべての企業のリーダーシップマッピングと分析も含まれています。

レポート購入の主なメリット

本レポートは、鉱業におけるAI市場全体および各サブセグメントの概算値に関する情報を提供し、市場リーダー企業および新規参入企業にとって役立ちます。また、本レポートは、関係者が競争環境を理解し、ビジネスポジショニングを改善し、適切な市場開拓戦略を策定するための洞察を深めるのに役立ちます。さらに、本レポートは、関係者が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のにも役立ちます。

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。

鉱業におけるAI市場における主要な推進要因（AIを活用した安全性、効率性、生産性の向上への重点）、制約要因（導入コストの高さとレガシーシステムとの複雑な統合）、機会（鉱山事業者のデジタル技術への傾倒）、課題（AIプラットフォーム、センサー、採掘機器間の相互運用性の問題）の分析

• 製品開発／イノベーション：鉱業AI市場における今後の技術、研究開発活動、新製品・新サービスの投入に関する詳細な洞察
• 市場開発：有望な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鉱業AI市場を分析しています。
• 市場多様化：鉱業AI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：鉱業AI市場における主要企業（キャタピラー（米国）、コマツ（日本）、サンドビックAB（スウェーデン）、日立建機（日本）、ヘキサゴンAB（スウェーデン）など）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

Report Description

The AI in mining market is anticipated to grow from USD 2.60 billion in 2025 to USD 9.93 billion by 2032, at a CAGR of 21.1% between 2025 and 2032. The AI in mining market is driven by rapid digital transformation and the increasing deployment of IoT, cloud computing, and 5G connectivity across mining sites. The expanding adoption of autonomous haulage systems, smart drilling, and fleet management platforms accelerates automation and enables remote operations, particularly in complex and inaccessible mining locations.

“Generative AI technology segment is estimated to hold the largest market share in 2030.”

The generative AI technology segment is expected to account for the largest share of the AI in mining market in 2030 due to its ability to enhance operational efficiency, decision-making, and predictive capabilities across mining processes. Generative AI can analyze massive volumes of geological, operational, and sensor data to generate actionable insights, simulations, and predictive models, enabling mining companies to optimize exploration, drilling, and extraction strategies. By producing accurate 3D models of ore bodies, predicting equipment failures, and simulating mining scenarios, generative AI reduces operational risks, downtime, and costs. Additionally, it accelerates design and planning workflows, allowing engineers to test multiple approaches virtually before implementation. The technology also supports environmental compliance and safety management by generating predictive alerts for hazardous conditions and tailings management. Its integration with other AI tools, such as computer vision and IoT analytics, further amplifies value across end-to-end mining operations. Given the growing demand for advanced analytics, automation, and smarter resource utilization, generative AI provides a scalable and intelligent solution that addresses both operational and strategic challenges, securing its position as the leading technology segment in the AI in mining market.

“Services segment is estimated to record the highest CAGR during the forecast period.”

The services segment is expected to grow at the highest CAGR in the AI in mining market during the forecast period due to the increasing reliance of mining companies on consulting, system integration, training, and managed services to successfully deploy and scale advanced AI solutions. As mining operations become more complex and digitally connected, companies require specialized expertise to integrate AI platforms with existing equipment, IoT devices, enterprise systems, and remote operational centers. Services are crucial in customizing AI use cases, such as predictive maintenance, fleet optimization, geological modeling, and safety monitoring, to meet site-specific challenges and regulatory requirements. Additionally, the shortage of skilled AI and data science professionals within the mining sector pushes operators to depend heavily on third-party service providers for ongoing support, real-time performance monitoring, and continuous model improvements. Managed services and subscription-based deployment models further drive the demand by reducing upfront investment costs and ensuring long-term ROI through outcome-based performance contracts. As AI transitions from pilot projects to full-scale implementation, service providers become essential partners, fueling the segmental growth.

“Asia Pacific is projected to hold the largest share of the AI in mining market in 2030.”

Asia Pacific is estimated to hold the largest market share in 2030 due to the massive mining infrastructure expansion, the growing industrial output, and the rising demand for metals, minerals, and coal required for energy production and manufacturing. China, Australia, India, and Indonesia are among the world’s largest producers of essential raw materials, including iron ore, copper, gold, lithium, and coal, leading to substantial investment in mining modernization. The increasing need for operational efficiency, cost optimization, and high productivity has accelerated the adoption of advanced AI technologies, such as predictive analytics, autonomous haulage systems, AI-powered drilling optimization, and real-time equipment monitoring. Government initiatives supporting digital transformation and Industry 4.0 integration in mining, along with large-scale public and private funding for automation, further strengthen AI deployment. Additionally, the high availability of skilled engineering talent and rapidly evolving digital infrastructure—5G connectivity and cloud computing platforms—enable seamless integration of AI solutions across remote mining sites. As the region continues to scale mineral extraction to support electronics, EV batteries, and renewable energy industries, it is positioned to lead the AI in mining market by 2030.

Extensive primary interviews were conducted with key industry experts in the AI in mining to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is provided below:

The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

• By Company Type: Tier 1–40%, Tier 2–35%, and Tier 3–25%
• By Designation: C-level Executives–45%, Directors–40%, and Others–15%
• By Region: North America–30%, Europe–20%, Asia Pacific–35%, and RoW–15%

The report profiles key players in the AI in mining market with their respective market ranking analysis. Prominent players profiled in this report are Caterpillar (US), Komatsu Ltd. (Japan), Sandvik AB (Sweden), Epiroc AB (Sweden), Hitachi Construction Machinery Co., Ltd. (Japan), Hexagon AB (Sweden), Rockwell Automation (US), Siemens (Germany), Trimble Inc. (US), ABB (Switzerland), Microsoft (US), and SAP SE (Germany), among others.

Apart from this, IBM (US), RPMGLOBAL HOLDINGS LIMITED (Australia), Liebheer (Switzerland), GroundHog (US), Haultrax (Australia), Micromine (Australia), SYMX.AI (Canada), The Tomorrow Companies Inc. (US), VRIFY (US), IntelliSense.io (UK), Orica Limited. (Australia), MineSense Technologies Ltd. (Canada), Exyn Technologies (US), among others, are among the few other companies in the AI in mining market.

Research Coverage:

This research report categorizes the AI in mining market based on offering, mining type, deployment mode, technology, application, vertical, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI in mining market and forecasts the same till 2032. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI in mining market ecosystem.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the numbers for the overall AI in mining market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report 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 (strong focus on AI-enabled safety, efficiency, and productivity improvements), restraints (high deployment costs and complex integration with legacy systems), opportunities (inclination of mine operators toward digital technologies), and challenges (interoperability issues between AI platforms, sensors, and mining equipment) of the AI in mining market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in mining market
• Market Development: Comprehensive information about lucrative markets–the report analyzes the AI in mining market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in mining market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as Caterpillar (US), Komatsu Ltd. (Japan), Sandvik AB (Sweden), Hitachi Construction Machinery Co., Ltd. (Japan), and Hexagon AB (Sweden) in the AI in mining market

Table of Contents

1 INTRODUCTION 26
1.1 STUDY OBJECTIVES 26
1.2 MARKET DEFINITION 26
1.3 STUDY SCOPE 27
1.3.1 MARKETS COVERED AND REGIONAL SCOPE 27
1.3.2 INCLUSIONS AND EXCLUSIONS 28
1.3.3 YEARS CONSIDERED 28
1.4 CURRENCY CONSIDERED 29
1.5 LIMITATIONS 29
1.6 STAKEHOLDERS 29
2 EXECUTIVE SUMMARY 30
2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS 30
2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 31
2.3 DISRUPTIONS SHAPING AI IN MINING MARKET 32
2.4 HIGH-GROWTH SEGMENTS 32
2.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST 33
3 PREMIUM INSIGHTS 35
3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN MINING MARKET 35
3.2 AI IN MINING MARKET, BY OFFERING 36
3.3 AI IN MINING MARKET, BY DEPLOYMENT MODE 36
3.4 AI IN MINING MARKET, BY TECHNOLOGY 37
3.5 AI IN MINING MARKET, BY MINING TECHNIQUE 37
3.6 AI IN MINING MARKET, BY MINING TYPE 38
3.7 AI IN MINING MARKET IN ASIA PACIFIC, BY OFFERING AND COUNTRY 38
3.8 AI IN MINING MARKET, BY GEOGRAPHY 39
4 MARKET OVERVIEW 40
4.1 INTRODUCTION 40
4.2 MARKET DYNAMICS 40
4.2.1 DRIVERS 41
4.2.1.1 Growing focus on AI-driven safety, efficiency, and productivity 41
4.2.1.2 Rising adoption of predictive maintenance and real-time monitoring solutions 42
4.2.1.3 High emphasis on data-driven sustainable mining operations 42

4.2.2 RESTRAINTS 43
4.2.2.1 High deployment costs and integration complexities 43
4.2.2.2 Poor data quality and limited digital infrastructure in remote mine sites 43
4.2.3 OPPORTUNITIES 44
4.2.3.1 Inclination toward digital technologies to optimize mining operations 44
4.2.3.2 Rising adoption of smart, connected mining practices 45
4.2.3.3 Reliance on AI for advanced geological modeling and exploration 45
4.2.4 CHALLENGES 46
4.2.4.1 Interoperability issues between AI platforms, sensors, and mining equipment 46
4.2.4.2 Rising sustainability concerns hindering tech-led mining 47
4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 47
4.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 48
5 INDUSTRY TRENDS 50
5.1 PORTER’S FIVE FORCES ANALYSIS 50
5.1.1 THREAT OF NEW ENTRANTS 51
5.1.2 THREAT OF SUBSTITUTES 52
5.1.3 BARGAINING POWER OF SUPPLIERS 52
5.1.4 BARGAINING POWER OF BUYERS 52
5.1.5 INTENSITY OF COMPETITIVE RIVALRY 52
5.2 MACROECONOMIC OUTLOOK 53
5.2.1 INTRODUCTION 53
5.2.2 GDP TRENDS AND FORECAST 53
5.2.3 TRENDS IN GLOBAL MINING INDUSTRY 56
5.2.4 TRENDS IN GLOBAL AI INDUSTRY 56
5.3 VALUE CHAIN ANALYSIS 56
5.4 ECOSYSTEM ANALYSIS 58
5.5 PRICING ANALYSIS 59
5.5.1 PRICING RANGE OF AI-POWERED MINING SOFTWARE, BY OFFERING, 2024 60
5.5.2 PRICING RANGE OF AI-POWERED MINING SOFTWARE, BY KEY PLAYER, 2024 60
5.5.3 AVERAGE SELLING PRICE TREND OF AI-POWERED MINING SOFTWARE,
BY REGION, 2021–2024 61
5.6 TRADE ANALYSIS 62
5.6.1 IMPORT SCENARIO (HS CODE 8429) 62
5.6.2 EXPORT SCENARIO (HS CODE 8429) 63
5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 64
5.8 INVESTMENT AND FUNDING SCENARIO 64
5.9 KEY CONFERENCES AND EVENTS, 2026 65
5.10 CASE STUDY ANALYSIS 66
5.10.1 ROCKWELL AUTOMATION OFFERS CONTROL SYSTEMS AND VISUALIZATION SOLUTIONS TO MINIMIZE DOWNTIME AND OPERATIONAL COST IN MINING PLANT 66
5.10.2 KOMATSU PROVIDES AUTONOMOUS HAULAGE SYSTEM TO ENHANCE PRODUCTIVITY AND SAFETY IN AITIK COPPER MINE 66
5.10.3 ROCKWELL AUTOMATION DEPLOYS FACTORYTALK SUITE AT AMRUN BAUXITE MINE TO IMPROVE OPERATIONAL VISIBILITY 67
5.10.4 HEXAGON OFFERS OPERATIONS MANAGEMENT SOLUTIONS TO STREAMLINE OPERATIONS AT VALTERRA PLATINUM LIMITED’S MINING SITES 67
5.11 IMPACT OF 2025 US TARIFF – AI IN MINING MARKET 67
5.11.1 INTRODUCTION 67
5.11.2 KEY TARIFF RATES 68
5.11.3 PRICE IMPACT ANALYSIS 69
5.11.4 IMPACT ON COUNTRIES/REGIONS 69
5.11.4.1 US 69
5.11.4.2 Europe 70
5.11.4.3 Asia Pacific 71
5.11.5 IMPACT ON MINING TYPES 71
6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACTS, PATENTS,
AND INNOVATIONS 73
6.1 KEY TECHNOLOGIES 73
6.1.1 MACHINE LEARNING AND PREDICTIVE ANALYTICS 73
6.1.2 COMPUTER VISION AND AUTONOMOUS SYSTEMS 73
6.2 COMPLEMENTARY TECHNOLOGIES 73
6.2.1 IOT AND EDGE COMPUTING 73
6.2.2 HIGH-PRECISION MAPPING AND GEOSPATIAL ANALYTICS 74
6.3 PATENT ANALYSIS 74
7 REGULATORY LANDSCAPE 77
7.1 REGIONAL REGULATIONS AND COMPLIANCE 77
7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 77
7.1.2 STANDARDS 79
8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR 81
8.1 INTRODUCTION 81
8.2 DECISION-MAKING PROCESS 81
8.3 KEY STAKEHOLDERS AND BUYING CRITERIA 83
8.3.1 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 83
8.3.2 BUYING CRITERIA 84
8.4 ADOPTION BARRIERS AND INTERNAL CHALLENGES 84
8.5 UNMET NEEDS OF VARIOUS MINING TYPES 86
9 AI IN MINING MARKET, BY OFFERING 87
9.1 INTRODUCTION 88
9.2 SOFTWARE 89
9.2.1 HIGH EMPHASIS ON DIGITAL TRANSFORMATION, DATA‑DRIVEN DECISION‑MAKING, AND OPERATIONAL EFFICIENCY TO SPUR DEMAND 89
9.3 SERVICES 91
9.3.1 INCREASING USE OF ADVANCED ANALYTICS, MACHINE LEARNING, AND COMPUTER VISION IN MINING OPERATIONS TO DRIVE MARKET 91
10 AI IN MINING MARKET, BY DEPLOYMENT MODE 94
10.1 INTRODUCTION 95
10.2 ON-PREMISES 96
10.2.1 RELIABILITY, OPERATIONAL INDEPENDENCE, AND SUITABILITY FOR MISSION-CRITICAL MINING ACTIVITIES TO BOOST SEGMENTAL GROWTH 96
10.3 CLOUD-BASED 97
10.3.1 ABILITY TO PROVIDE SCALABLE COMPUTING AND CENTRALIZED DATA ACCESSIBILITY TO AUGMENT SEGMENTAL GROWTH 97
10.4 HYBRID 98
10.4.1 SUPPORT FOR REAL-TIME EDGE-BASED DECISION-MAKING TO CONTRIBUTE TO SEGMENTAL GROWTH 98
11 AI IN MINING MARKET, BY TECHNOLOGY 100
11.1 INTRODUCTION 101
11.2 GENERATIVE AI 102
11.2.1 MOUNTING ADOPTION IN EXPLORATION, MINE PLANNING, AND OPERATIONAL SIMULATION TO FOSTER SEGMENTAL GROWTH 102
11.2.2 RULE-BASED MODELS 103
11.2.3 STATISTICAL MODELS 103
11.2.4 DEEP LEARNING 103
11.2.5 GENERATIVE ADVERSARIAL NETWORKS (GANS) 104
11.2.6 AUTOENCODERS 104
11.2.7 CONVOLUTIONAL NEURAL NETWORKS (CNNS) 105
11.2.8 TRANSFORMER MODELS 105
11.3 MACHINE LEARNING 105
11.3.1 RISING NEED FOR PREDICTIVE AND PRESCRIPTIVE ANALYTICS TO ACCELERATE SEGMENTAL GROWTH 105
11.4 NATURAL LANGUAGE PROCESSING 106
11.4.1 STRONG FOCUS ON ANALYZING UNSTRUCTURED DATA TO DERIVE REAL-TIME ACTIONABLE INTELLIGENCE TO BOLSTER SEGMENTAL GROWTH 106
11.5 COMPUTER VISION 107
11.5.1 HIGH SUPPORT FOR REAL-TIME IMAGE AND VIDEO ANALYTICS TO EXPEDITE SEGMENTAL GROWTH 107

12 AI IN MINING MARKET, BY APPLICATION 108
12.1 INTRODUCTION 109
12.2 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT 110
12.2.1 RISING EQUIPMENT MAINTENANCE COSTS AND ASSET COMPLEXITY TO AUGMENT SEGMENTAL GROWTH 110
12.3 OPERATIONS & PROCESS OPTIMIZATION 112
12.3.1 STRONG FOCUS ON MAXIMIZING RECOVERY RATES AND OPTIMIZING OPERATING MARGINS TO FUEL SEGMENTAL GROWTH 112
12.4 EXPLORATION & GEOSCIENCES 115
12.4.1 URGENT NEED TO SECURE CRITICAL MINERALS FOR RENEWABLE ENERGY AND ELECTRIC VEHICLE SUPPLY CHAINS TO DRIVE MARKET 115
12.5 SAFETY, SECURITY & ENVIRONMENT 117
12.5.1 TIGHTENING ENVIRONMENTAL AND WORKER-SAFETY REGULATIONS TO CONTRIBUTE TO SEGMENTAL GROWTH 117
13 AI IN MINING MARKET, BY MINING TECHNIQUE 120
13.1 INTRODUCTION 121
13.2 SURFACE MINING 122
13.2.1 LOW OPERATIONAL COMPLEXITY, REDUCED SAFETY HAZARDS, AND COST ADVANTAGES TO BOOST SEGMENTAL GROWTH 122
13.3 UNDERGROUND MINING 123
13.3.1 STRONG FOCUS ON WORKER SAFETY, SUSTAINABILITY, AND PRODUCTIVITY TO FACILITATE SEGMENTAL GROWTH 123
14 AI IN MINING MARKET, BY MINING TYPE 125
14.1 INTRODUCTION 126
14.2 MINERAL MINING 127
14.2.1 EMPHASIS ON RESOURCE OPTIMIZATION AND COST-EFFICIENT PRODUCTION TO ACCELERATE SEGMENTAL GROWTH 127
14.3 METAL MINING 129
14.3.1 RISING DEMAND FOR CRITICAL MINERALS FOR ELECTRIC VEHICLES AND NEXT-GENERATION MANUFACTURING TO DRIVE MARKET 129
14.4 COAL MINING 132
14.4.1 FOCUS ON SAFETY, COST OPTIMIZATION, AND AUTOMATION TO BOOST SEGMENTAL GROWTH 132
15 AI IN MINING MARKET, BY REGION 135
15.1 INTRODUCTION 136
15.2 NORTH AMERICA 137
15.2.1 US 141
15.2.1.1 Rapid digitalization of surface and underground mining operations to bolster market growth 141
15.2.2 CANADA 142
15.2.2.1 Strong presence of mineral and metal reserves to fuel market growth 142
15.2.3 MEXICO 143
15.2.3.1 High emphasis on predictive maintenance and advanced geological modeling to augment market growth 143
15.3 EUROPE 144
15.3.1 RUSSIA 148
15.3.1.1 Rapid innovation in AI-powered survey and exploration tools to bolster market growth 148
15.3.2 GERMANY 149
15.3.2.1 Industrial modernization and energy transition to contribute to market growth 149
15.3.3 FRANCE 150
15.3.3.1 Emphasis on enhancing operational efficiency, safety, and sustainability to accelerate market growth 150
15.3.4 KAZAKHSTAN 151
15.3.4.1 Digital transformation and Industry 4.0 adoption to foster market growth 151
15.3.5 REST OF EUROPE 152
15.4 ASIA PACIFIC 153
15.4.1 CHINA 157
15.4.1.1 Energy security priorities and massive coal production scale to expedite market growth 157
15.4.2 INDIA 158
15.4.2.1 Need to enhance mineral discovery, improve operational efficiency, and strengthen regulatory compliance to drive market 158
15.4.3 AUSTRALIA 159
15.4.3.1 Vast mineral reserves and technology-driven mining ecosystem to facilitate market growth 159
15.4.4 INDONESIA 160
15.4.4.1 Mounting production of minerals for EV batteries and clean energy technologies to contribute to market growth 160
15.4.5 REST OF ASIA PACIFIC 161
15.5 ROW 162
15.5.1 MIDDLE EAST & AFRICA 166
15.5.1.1 Abundant mineral and energy resources to boost market growth 166
15.5.1.2 GCC countries 167
15.5.1.3 Africa & Rest of Middle East 168
15.5.2 SOUTH AMERICA 169
15.5.2.1 Global energy transition and thriving electric vehicle industry to expedite market growth 169
16 COMPETITIVE LANDSCAPE 171
16.1 OVERVIEW 171
16.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2025 171
16.3 MARKET SHARE ANALYSIS, 2024 173
16.4 REVENUE ANALYSIS, 2020–2024 174
16.5 COMPANY VALUATION AND FINANCIAL METRICS 175
16.6 BRAND/PRODUCT COMPARISON 176
16.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 177
16.7.1 STARS 177
16.7.2 EMERGING LEADERS 177
16.7.3 PERVASIVE PLAYERS 177
16.7.4 PARTICIPANTS 177
16.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 179
16.7.5.1 Company footprint 179
16.7.5.2 Region footprint 180
16.7.5.3 Offering footprint 181
16.7.5.4 Mining technique footprint 182
16.7.5.5 Application footprint 183
16.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 184
16.8.1 PROGRESSIVE COMPANIES 184
16.8.2 RESPONSIVE COMPANIES 184
16.8.3 DYNAMIC COMPANIES 184
16.8.4 STARTING BLOCKS 184
16.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 186
16.8.5.1 Detailed list of key startups/SMEs 186
16.8.5.2 Competitive benchmarking of key startups/SMEs 187
16.9 COMPETITIVE SCENARIO 188
16.9.1 PRODUCT LAUNCHES 188
16.9.2 DEALS 189
17 COMPANY PROFILES 191
17.1 KEY PLAYERS 191
17.1.1 CATERPILLAR 191
17.1.1.1 Business overview 191
17.1.1.2 Products/Solutions/Services offered 192
17.1.1.3 Recent developments 193
17.1.1.3.1 Product launches 193
17.1.1.3.2 Deals 193
17.1.1.4 MnM view 194
17.1.1.4.1 Key strengths/Right to win 194
17.1.1.4.2 Strategic choices 194
17.1.1.4.3 Weaknesses/Competitive threats 194
17.1.2 KOMATSU LTD. 195
17.1.2.1 Business overview 195
17.1.2.2 Products/Solutions/Services offered 196
17.1.2.3 Recent developments 198
17.1.2.3.1 Deals 198

17.1.2.4 MnM view 199
17.1.2.4.1 Key strengths/Right to win 199
17.1.2.4.2 Strategic choices 199
17.1.2.4.3 Weaknesses/Competitive threats 199
17.1.3 SANDVIK AB 200
17.1.3.1 Business overview 200
17.1.3.2 Products/Solutions/Services offered 201
17.1.3.3 Recent developments 202
17.1.3.3.1 Product launches 202
17.1.3.3.2 Deals 202
17.1.3.4 MnM view 203
17.1.3.4.1 Key strengths/Right to win 203
17.1.3.4.2 Strategic choices 203
17.1.3.4.3 Weaknesses/Competitive threats 203
17.1.4 HITACHI CONSTRUCTION MACHINERY CO., LTD. 204
17.1.4.1 Business overview 204
17.1.4.2 Products/Solutions/Services offered 206
17.1.4.3 Recent developments 207
17.1.4.3.1 Product launches 207
17.1.4.3.2 Deals 208
17.1.4.4 MnM view 208
17.1.4.4.1 Key strengths/Right to win 208
17.1.4.4.2 Strategic choices 208
17.1.4.4.3 Weaknesses/Competitive threats 208
17.1.5 HEXAGON AB 209
17.1.5.1 Business overview 209
17.1.5.2 Products/Solutions/Services offered 211
17.1.5.3 Recent developments 212
17.1.5.3.1 Product launches 212
17.1.5.3.2 Deals 213
17.1.5.3.3 Expansions 213
17.1.5.4 MnM view 213
17.1.5.4.1 Key strengths/Right to win 213
17.1.5.4.2 Strategic choices 214
17.1.5.4.3 Weaknesses/Competitive threats 214
17.1.6 EPIROC AB 215
17.1.6.1 Business overview 215
17.1.6.2 Products/Solutions/Services offered 217
17.1.6.3 Recent developments 218
17.1.6.3.1 Deals 218
17.1.6.3.2 Expansions 218

17.1.7 ROCKWELL AUTOMATION 219
17.1.7.1 Business overview 219
17.1.7.2 Products/Solutions/Services offered 221
17.1.8 SIEMENS 222
17.1.8.1 Business overview 222
17.1.8.2 Products/Solutions/Services offered 224
17.1.8.3 Recent developments 225
17.1.8.3.1 Deals 225
17.1.9 TRIMBLE INC. 226
17.1.9.1 Business overview 226
17.1.9.2 Products/Solutions/Services offered 228
17.1.9.3 Recent developments 229
17.1.9.3.1 Product launches 229
17.1.9.3.2 Deals 229
17.1.10 ABB 230
17.1.10.1 Business overview 230
17.1.10.2 Products/Solutions/Services offered 232
17.1.10.3 Recent developments 233
17.1.10.3.1 Product launches 233
17.1.11 MICROSOFT 234
17.1.11.1 Business overview 234
17.1.11.2 Products/Solutions/Services offered 236
17.1.11.3 Recent developments 236
17.1.11.3.1 Deals 236
17.1.12 SAP SE 237
17.1.12.1 Business overview 237
17.1.12.2 Products/Solutions/Services offered 239
17.1.12.3 Recent developments 239
17.1.12.3.1 Deals 239
17.2 OTHER PLAYERS 240
17.2.1 IBM 240
17.2.2 RPMGLOBAL HOLDINGS LIMITED 241
17.2.3 LIEBHEER 242
17.2.4 GROUNDHOG 243
17.2.5 HAULTRAX 244
17.2.6 MICROMINE PTY LTD. 245
17.2.7 SYMX.AI 246
17.2.8 THE TOMORROW COMPANIES INC. 247
17.2.9 VRIFY 248
17.2.10 INTELLISENSE.IO 249
17.2.11 ORICA LIMITED 250
17.2.12 MINESENSE TECHNOLOGIES LTD. 251
17.2.13 EXYN TECHNOLOGIES 252
18 RESEARCH METHODOLOGY 253
18.1 RESEARCH DATA 253
18.2 SECONDARY AND PRIMARY RESEARCH 254
18.2.1 SECONDARY DATA 255
18.2.1.1 Key data from secondary sources 256
18.2.1.2 List of key secondary sources 256
18.2.2 PRIMARY DATA 256
18.2.2.1 Key data from primary sources 257
18.2.2.2 List of primary interview participants 257
18.2.2.3 Breakdown of primaries 258
18.2.2.4 Key industry insights 258
18.3 MARKET SIZE ESTIMATION 259
18.3.1 BOTTOM-UP APPROACH 260
18.3.2 TOP-DOWN APPROACH 260
18.3.3 MARKET SIZE CALCULATION FOR BASE YEAR 261
18.4 MARKET FORECAST APPROACH 262
18.4.1 SUPPLY SIDE 262
18.4.2 DEMAND SIDE 262
18.5 DATA TRIANGULATION 263
18.6 FACTOR ANALYSIS 264
18.7 RESEARCH ASSUMPTIONS 264
18.8 RESEARCH LIMITATIONS 265
18.9 RISK ANALYSIS 265
19 APPENDIX 266
19.1 DISCUSSION GUIDE 266
19.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 270
19.3 CUSTOMIZATION OPTIONS 272
19.4 RELATED REPORTS 272
19.5 AUTHOR DETAILS 273

LIST OF TABLES

TABLE 1 AI IN MINING MARKET: INCLUSIONS AND EXCLUSIONS 28
TABLE 2 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 48
TABLE 3 STRATEGIC MOVES ADOPTED BY TIER-1/2/3 PLAYERS 48
TABLE 4 IMPACT OF PORTER’S FIVE FORCES 50
TABLE 5 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021–2030 53
TABLE 6 ROLE OF COMPANIES IN AI IN MINING ECOSYSTEM 59
TABLE 7 PRICING RANGE OF AI-POWERED MINING SOFTWARE, 2024 (USD) 60
TABLE 8 PRICING RANGE OF AI-POWERED MINING SOFTWARE OFFERED
BY KEY PLAYERS, 2024 (USD/YEAR) 60
TABLE 9 AVERAGE SELLING PRICE TREND OF AI-POWERED MINING SOFTWARE,
BY REGION, 2021–2024 (USD THOUSAND) 61
TABLE 10 IMPORT DATA FOR HS CODE 8429-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD MILLION) 62
TABLE 11 EXPORT DATA FOR HS CODE 8429-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD MILLION) 63
TABLE 12 LIST OF KEY CONFERENCES AND EVENTS, 2026 65
TABLE 13 CONTROL SYSTEMS AND VISUALIZATION SOLUTIONS ENSURE INTEGRATED CONTROL AND SAFETY IN MINING PLANT 66
TABLE 14 FRONTRUNNER AUTONOMOUS HAULAGE SYSTEM IMPROVES PRODUCTIVITY
AND ASSET UTILIZATION IN AITIK OPEN-PIT COPPER MINE 66
TABLE 15 FACTORYTALK SUITE AUTOMATION SOLUTIONS MAINTAIN CRITICAL OPERATIONS AT AMRUN BAUXITE MINE 67
TABLE 16 J5 OPERATIONS MANAGEMENT SOLUTIONS STREAMLINES OPERATIONS AT MINING SITES OF VALTERRA PLATINUM LIMITED 67
TABLE 17 US-ADJUSTED RECIPROCAL TARIFF RATES 68
TABLE 18 LIST OF KEY PATENTS, 2023–2024 75
TABLE 19 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 77
TABLE 20 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 78
TABLE 21 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 78
TABLE 22 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 79
TABLE 23 AI IN MINING STANDARDS 80
TABLE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS, BY MINING TYPE (%) 83
TABLE 25 KEY BUYING CRITERIA FOR MINING TYPES 84
TABLE 26 UNMET NEEDS IN AI IN MINING MARKET, BY MINING TYPE 86
TABLE 27 AI IN MINING MARKET, BY OFFERING, 2021–2024 (USD MILLION) 88
TABLE 28 AI IN MINING MARKET, BY OFFERING, 2025–2032 (USD MILLION) 88
TABLE 29 SOFTWARE: AI IN MINING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 90
TABLE 30 SOFTWARE: AI IN MINING MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 90
TABLE 31 SOFTWARE: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 90
TABLE 32 SOFTWARE: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 91
TABLE 33 SERVICES: AI IN MINING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 92
TABLE 34 SERVICES: AI IN MINING MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 92
TABLE 35 SERVICES: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 92
TABLE 36 SERVICES: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 93
TABLE 37 AI IN MINING MARKET, BY DEPLOYMENT MODE, 2021–2024 (USD MILLION) 95
TABLE 38 AI IN MINING MARKET, BY DEPLOYMENT MODE, 2025–2032 (USD MILLION) 96
TABLE 39 ON-PREMISES: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 96
TABLE 40 ON-PREMISES: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 97
TABLE 41 CLOUD-BASED: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 98
TABLE 42 CLOUD-BASED: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 98
TABLE 43 HYBRID: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 99
TABLE 44 HYBRID: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 99
TABLE 45 AI IN MINING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 101
TABLE 46 AI IN MINING MARKET, BY TECHNOLOGY, 2025–2032 (USD MILLION) 102
TABLE 47 AI IN MINING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 109
TABLE 48 AI IN MINING MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 110
TABLE 49 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT: AI IN MINING MARKET,
BY MINING TYPE, 2021–2024 (USD MILLION) 111
TABLE 50 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT: AI IN MINING MARKET,
BY MINING TYPE, 2025–2032 (USD MILLION) 111
TABLE 51 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT: AI IN MINING MARKET,
BY OFFERING, 2021–2024 (USD MILLION) 111
TABLE 52 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT: AI IN MINING MARKET,
BY OFFERING, 2025–2032 (USD MILLION) 111
TABLE 53 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT: AI IN MINING MARKET,
BY REGION, 2021–2024 (USD MILLION) 112
TABLE 54 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT: AI IN MINING MARKET,
BY REGION, 2025–2032 (USD MILLION) 112
TABLE 55 OPERATIONS & PROCESS OPTIMIZATION: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 113
TABLE 56 OPERATIONS & PROCESS OPTIMIZATION: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 113
TABLE 57 OPERATIONS & PROCESS OPTIMIZATION: AI IN MINING MARKET, BY OFFERING, 2021–2024 (USD MILLION) 113
TABLE 58 OPERATIONS & PROCESS OPTIMIZATION: AI IN MINING MARKET, BY OFFERING, 2025–2032 (USD MILLION) 114
TABLE 59 OPERATIONS & PROCESS OPTIMIZATION: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 114
TABLE 60 OPERATIONS & PROCESS OPTIMIZATION: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 114
TABLE 61 EXPLORATION & GEOSCIENCE: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 115
TABLE 62 EXPLORATION & GEOSCIENCE: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 115
TABLE 63 EXPLORATION & GEOSCIENCE: AI IN MINING MARKET, BY OFFERING,
2021–2024 (USD MILLION) 116
TABLE 64 EXPLORATION & GEOSCIENCE: AI IN MINING MARKET, BY OFFERING,
2025–2032 (USD MILLION) 116
TABLE 65 EXPLORATION & GEOSCIENCE: AI IN MINING MARKET, BY REGION,
2021–2024 (USD MILLION) 116
TABLE 66 EXPLORATION & GEOSCIENCE: AI IN MINING MARKET, BY REGION,
2025–2032 (USD MILLION) 116
TABLE 67 SAFETY, SECURITY & ENVIRONMENTAL: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 117
TABLE 68 SAFETY, SECURITY & ENVIRONMENTAL: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 118
TABLE 69 SAFETY, SECURITY & ENVIRONMENTAL: AI IN MINING MARKET, BY OFFERING, 2021–2024 (USD MILLION) 118
TABLE 70 SAFETY, SECURITY & ENVIRONMENTAL: AI IN MINING MARKET, BY OFFERING, 2025–2032 (USD MILLION) 118
TABLE 71 SAFETY, SECURITY & ENVIRONMENTAL: AI IN MINING MARKET, BY REGION,
2021–2024 (USD MILLION) 118
TABLE 72 SAFETY, SECURITY & ENVIRONMENTAL: AI IN MINING MARKET, BY REGION,
2025–2032 (USD MILLION) 119
TABLE 73 AI IN MINING MARKET, BY MINING TECHNIQUE, 2021–2024 (USD MILLION) 121
TABLE 74 AI IN MINING MARKET, BY MINING TECHNIQUE, 2025–2032 (USD MILLION) 122
TABLE 75 SURFACE MINING: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 122
TABLE 76 SURFACE MINING: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 123
TABLE 77 UNDERGROUND MINING: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 124
TABLE 78 UNDERGROUND MINING: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 124
TABLE 79 AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 126
TABLE 80 AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 127
TABLE 81 MINERAL MINING: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 127
TABLE 82 MINERAL MINING: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 128
TABLE 83 MINERAL MINING: AI IN MINING MARKET, BY APPLICATION,
2021–2024 (USD MILLION) 128
TABLE 84 MINERAL MINING: AI IN MINING MARKET, BY APPLICATION,
2025–2032 (USD MILLION) 128
TABLE 85 MINERAL MINING: AI IN MINING MARKET, BY MINING TECHNIQUE,
2021–2024 (USD MILLION) 129
TABLE 86 MINERAL MINING: AI IN MINING MARKET, BY MINING TECHNIQUE,
2025–2032 (USD MILLION) 129
TABLE 87 METAL MINING: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 130
TABLE 88 METAL MINING: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 130
TABLE 89 METAL MINING: AI IN MINING MARKET, BY APPLICATION,
2021–2024 (USD MILLION) 130
TABLE 90 METAL MINING: AI IN MINING MARKET, BY APPLICATION,
2025–2032 (USD MILLION) 131
TABLE 91 METAL MINING: AI IN MINING MARKET, BY MINING TECHNIQUE,
2021–2024 (USD MILLION) 131
TABLE 92 METAL MINING: AI IN MINING MARKET, BY MINING TECHNIQUE,
2025–2032 (USD MILLION) 131
TABLE 93 COAL MINING: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 132
TABLE 94 COAL MINING: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 132
TABLE 95 COAL MINING: AI IN MINING MARKET, BY APPLICATION,
2021–2024 (USD MILLION) 133
TABLE 96 COAL MINING: AI IN MINING MARKET, BY APPLICATION,
2025–2032 (USD MILLION) 133
TABLE 97 COAL MINING: AI IN MINING MARKET, BY MINING TECHNIQUE,
2021–2024 (USD MILLION) 133
TABLE 98 COAL MINING: AI IN MINING MARKET, BY MINING TECHNIQUE,
2025–2032 (USD MILLION) 134
TABLE 99 AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 136
TABLE 100 AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 137
TABLE 101 NORTH AMERICA: AI IN MINING MARKET, BY COUNTRY,
2021–2024 (USD MILLION) 138
TABLE 102 NORTH AMERICA: AI IN MINING MARKET, BY COUNTRY,
2025–2032 (USD MILLION) 138
TABLE 103 NORTH AMERICA: AI IN MINING MARKET, BY DEPLOYMENT MODE,
2021–2024 (USD MILLION) 139
TABLE 104 NORTH AMERICA: AI IN MINING MARKET, BY DEPLOYMENT MODE,
2025–2032 (USD MILLION) 139
TABLE 105 NORTH AMERICA: AI IN MINING MARKET, BY OFFERING,
2021–2024 (USD MILLION) 139
TABLE 106 NORTH AMERICA: AI IN MINING MARKET, BY OFFERING,
2025–2032 (USD MILLION) 139
TABLE 107 NORTH AMERICA: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 140
TABLE 108 NORTH AMERICA: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 140
TABLE 109 NORTH AMERICA: AI IN MINING MARKET, BY APPLICATION,
2021–2024 (USD MILLION) 140
TABLE 110 NORTH AMERICA: AI IN MINING MARKET, BY APPLICATION,
2025–2032 (USD MILLION) 140
TABLE 111 US: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 141
TABLE 112 US: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 142
TABLE 113 CANADA: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 142
TABLE 114 CANADA: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 143
TABLE 115 MEXICO: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 144
TABLE 116 MEXICO: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 144
TABLE 117 EUROPE: AI IN MINING MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 145
TABLE 118 EUROPE: AI IN MINING MARKET, BY COUNTRY, 2025–2032 (USD MILLION) 146
TABLE 119 EUROPE: AI IN MINING MARKET, BY DEPLOYMENT MODE,
2021–2024 (USD MILLION) 146
TABLE 120 EUROPE: AI IN MINING MARKET, BY DEPLOYMENT MODE,
2025–2032 (USD MILLION) 146
TABLE 121 EUROPE: AI IN MINING MARKET, BY OFFERING, 2021–2024 (USD MILLION) 146
TABLE 122 EUROPE: AI IN MINING MARKET, BY OFFERING, 2025–2032 (USD MILLION) 147
TABLE 123 EUROPE: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 147
TABLE 124 EUROPE: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 147
TABLE 125 EUROPE: AI IN MINING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 147
TABLE 126 EUROPE: AI IN MINING MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 148
TABLE 127 RUSSIA: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 148
TABLE 128 RUSSIA: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 149
TABLE 129 GERMANY: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 149
TABLE 130 GERMANY: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 150
TABLE 131 FRANCE: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 150
TABLE 132 FRANCE: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 151
TABLE 133 KAZAKHSTAN: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 151
TABLE 134 KAZAKHSTAN: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 152
TABLE 135 REST OF EUROPE: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 152
TABLE 136 REST OF EUROPE: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 153
TABLE 137 ASIA PACIFIC: AI IN MINING MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 154
TABLE 138 ASIA PACIFIC: AI IN MINING MARKET, BY COUNTRY, 2025–2032 (USD MILLION) 155
TABLE 139 ASIA PACIFIC: AI IN MINING MARKET, BY DEPLOYMENT MODE,
2021–2024 (USD MILLION) 155
TABLE 140 ASIA PACIFIC: AI IN MINING MARKET, BY DEPLOYMENT MODE,
2025–2032 (USD MILLION) 155
TABLE 141 ASIA PACIFIC: AI IN MINING MARKET, BY OFFERING, 2021–2024 (USD MILLION) 155
TABLE 142 ASIA PACIFIC: AI IN MINING MARKET, BY OFFERING, 2025–2032 (USD MILLION) 156
TABLE 143 ASIA PACIFIC: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 156
TABLE 144 ASIA PACIFIC: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 156
TABLE 145 ASIA PACIFIC: AI IN MINING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 156
TABLE 146 ASIA PACIFIC: AI IN MINING MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 157
TABLE 147 CHINA: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 158
TABLE 148 CHINA: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 158
TABLE 149 INDIA: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 159
TABLE 150 INDIA: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 159
TABLE 151 AUSTRALIA: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 160
TABLE 152 AUSTRALIA: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 160
TABLE 153 INDONESIA: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 161
TABLE 154 INDONESIA: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 161
TABLE 155 REST OF ASIA PACIFIC: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 161
TABLE 156 REST OF ASIA PACIFIC: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 162
TABLE 157 ROW: AI IN MINING MARKET, BY REGION, 2021–2024 (USD MILLION) 163
TABLE 158 ROW: AI IN MINING MARKET, BY REGION, 2025–2032 (USD MILLION) 163
TABLE 159 ROW: AI IN MINING MARKET, BY DEPLOYMENT MODE, 2021–2024 (USD MILLION) 164
TABLE 160 ROW: AI IN MINING MARKET, BY DEPLOYMENT MODE, 2025–2032 (USD MILLION) 164
TABLE 161 ROW: AI IN MINING MARKET, BY OFFERING, 2021–2024 (USD MILLION) 164
TABLE 162 ROW: AI IN MINING MARKET, BY OFFERING, 2025–2032 (USD MILLION) 164
TABLE 163 ROW: AI IN MINING MARKET, BY MINING TYPE, 2021–2024 (USD MILLION) 165
TABLE 164 ROW: AI IN MINING MARKET, BY MINING TYPE, 2025–2032 (USD MILLION) 165
TABLE 165 ROW: AI IN MINING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 165
TABLE 166 ROW: AI IN MINING MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 165
TABLE 167 MIDDLE EAST & AFRICA: AI IN MINING MARKET, BY COUNTRY,
2021–2024 (USD MILLION) 166
TABLE 168 MIDDLE EAST & AFRICA: AI IN MINING MARKET, BY COUNTRY,
2025–2032 (USD MILLION) 166
TABLE 169 MIDDLE EAST & AFRICA: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 167
TABLE 170 MIDDLE EAST & AFRICA: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 167
TABLE 171 GCC COUNTRIES: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 168
TABLE 172 GCC COUNTRIES: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 168
TABLE 173 AFRICA & REST OF MIDDLE: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 169
TABLE 174 AFRICA & REST OF MIDDLE: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 169
TABLE 175 SOUTH AMERICA: AI IN MINING MARKET, BY MINING TYPE,
2021–2024 (USD MILLION) 170
TABLE 176 SOUTH AMERICA: AI IN MINING MARKET, BY MINING TYPE,
2025–2032 (USD MILLION) 170
TABLE 177 AI IN MINING MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, JANUARY 2021–NOVEMBER 2025 171
TABLE 178 AI IN MINING MARKET: DEGREE OF COMPETITION, 2024 173
TABLE 179 AI IN MINING MARKET: REGION FOOTPRINT 180
TABLE 180 AI IN MINING MARKET: OFFERING FOOTPRINT 181
TABLE 181 AI IN MINING MARKET: MINING TECHNIQUE FOOTPRINT 182
TABLE 182 AI IN MINING MARKET: APPLICATION FOOTPRINT 183
TABLE 183 AI IN MINING MARKET: DETAILED LIST OF KEY STARTUPS/SMES 186
TABLE 184 AI IN MINING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 187
TABLE 185 AI IN MINING MARKET: PRODUCT LAUNCHES, JANUARY 2021–NOVEMBER 2025 188
TABLE 186 AI IN MINING MARKET: DEALS, JANUARY 2021–NOVEMBER 2025 189
TABLE 187 CATERPILLAR: COMPANY OVERVIEW 191
TABLE 188 CATERPILLAR: PRODUCTS/SOLUTIONS/SERVICES OFFERED 192
TABLE 189 CATERPILLAR: PRODUCT LAUNCHES 193
TABLE 190 CATERPILLAR: DEALS 193
TABLE 191 KOMATSU: COMPANY OVERVIEW 195
TABLE 192 KOMATSU: PRODUCTS/SOLUTIONS/SERVICES OFFERED 196
TABLE 193 KOMATSU: DEALS 198
TABLE 194 SANDVIK AB: COMPANY OVERVIEW 200
TABLE 195 SANDVIK AB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 201
TABLE 196 SANDVIK AB: PRODUCT LAUNCHES 202
TABLE 197 SANDVIK AB: DEALS 202
TABLE 198 HITACHI CONSTRUCTION MACHINERY CO., LTD.: COMPANY OVERVIEW 204
TABLE 199 HITACHI CONSTRUCTION MACHINERY CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 206
TABLE 200 HITACHI CONSTRUCTION MACHINERY CO., LTD.: PRODUCT LAUNCHES 207
TABLE 201 HITACHI CONSTRUCTION MACHINERY CO., LTD.: DEALS 208
TABLE 202 HEXAGON AB: COMPANY OVERVIEW 209
TABLE 203 HEXAGON AB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 211
TABLE 204 HEXAGON AB: PRODUCT LAUNCHES 212
TABLE 205 HEXAGON AB: DEALS 213
TABLE 206 HEXAGON AB: EXPANSIONS 213
TABLE 207 EPIROC AB: COMPANY OVERVIEW 215
TABLE 208 EPIROC AB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 217
TABLE 209 EPIROC AB: DEALS 218
TABLE 210 EPIROC AB: EXPANSIONS 218
TABLE 211 ROCKWELL AUTOMATION: COMPANY OVERVIEW 219
TABLE 212 ROCKWELL AUTOMATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 221
TABLE 213 SIEMENS: COMPANY OVERVIEW 222
TABLE 214 SIEMENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 224
TABLE 215 SIEMENS: DEALS 225
TABLE 216 TRIMBLE INC.: COMPANY OVERVIEW 226
TABLE 217 TRIMBLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 228
TABLE 218 TRIMBLE INC.: PRODUCT LAUNCHES 229
TABLE 219 TRIMBLE INC.: DEALS 229
TABLE 220 ABB: COMPANY OVERVIEW 230
TABLE 221 ABB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 232
TABLE 222 ABB: PRODUCT LAUNCHES 233
TABLE 223 MICROSOFT: COMPANY OVERVIEW 234
TABLE 224 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 236
TABLE 225 MICROSOFT: DEALS 236
TABLE 226 SAP SE: COMPANY OVERVIEW 237
TABLE 227 SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 239
TABLE 228 SAP SE: DEALS 239
TABLE 229 IBM: COMPANY OVERVIEW 240
TABLE 230 RPMGLOBAL HOLDINGS LIMITED: COMPANY OVERVIEW 241
TABLE 231 LIEBHERR: COMPANY OVERVIEW 242
TABLE 232 GROUNDHOG: COMPANY OVERVIEW 243
TABLE 233 HAULTRAX: COMPANY OVERVIEW 244
TABLE 234 MICROMINE PTY LTD.: COMPANY OVERVIEW 245
TABLE 235 SYMX.AI: COMPANY OVERVIEW 246
TABLE 236 THE TOMORROW COMPANIES INC.: COMPANY OVERVIEW 247
TABLE 237 VRIFY: COMPANY OVERVIEW 248
TABLE 238 INTELLISENSE.IO: COMPANY OVERVIEW 249
TABLE 239 ORICA LIMITED: COMPANY OVERVIEW 250
TABLE 240 MINESENSE TECHNOLOGIES LTD.: COMPANY OVERVIEW 251
TABLE 241 EXYN TECHNOLOGIES: COMPANY OVERVIEW 252
TABLE 242 MAJOR SECONDARY SOURCES 256

TABLE 243 PRIMARY INTERVIEW PARTICIPANTS 257
TABLE 244 AI IN MINING MARKET: RESEARCH ASSUMPTIONS 264
TABLE 245 AI IN MINING MARKET: RISK ANALYSIS 265

LIST OF FIGURES

FIGURE 1 AI IN MINING MARKET SEGMENTATION AND REGIONAL SCOPE 27
FIGURE 2 AI IN MINING MARKET: DURATION COVERED 28
FIGURE 3 AI IN MINING MARKET SCENARIO 30
FIGURE 4 GLOBAL AI IN MINING MARKET SIZE, 2021–2032 31
FIGURE 5 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN AI IN MINING MARKET,
2021–2025 31
FIGURE 6 DISRUPTIONS INFLUENCING AI IN MINING MARKET GROWTH 32
FIGURE 7 HIGH-GROWTH SEGMENTS IN AI IN MINING MARKET, 2025–2032 32
FIGURE 8 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 33
FIGURE 9 ASIA PACIFIC LEADS GLOBAL GROWTH WITH EXPANDING
ROBOTIC AUTOMATION ADOPTION 35
FIGURE 10 SOFTWARE SEGMENT TO DOMINATE AI IN MINING MARKET
DURING FORECAST PERIOD 36
FIGURE 11 ON-PREMISES SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2032 36
FIGURE 12 MACHINE LEARNING SEGMENT TO CAPTURE LARGEST MARKET SHARE IN 2025 37
FIGURE 13 SURFACE MINING SEGMENT TO CAPTURE LARGER MARKET SHARE IN 2032 37
FIGURE 14 METAL MINING SEGMENT TO HOLD LARGEST SHARE OF
AI IN MINING MARKET IN 2032 38
FIGURE 15 SOFTWARE SEGMENT AND CHINA TO HOLD LARGEST SHARES OF ASIA PACIFIC AI IN MINING MARKET IN 2032 38
FIGURE 16 INDIA TO RECORD HIGHEST CAGR IN GLOBAL AI IN MINING MARKET
FROM 2025 TO 2032 39
FIGURE 17 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 41
FIGURE 18 IMPACT ANALYSIS: DRIVERS 43
FIGURE 19 IMPACT ANALYSIS: RESTRAINTS 44
FIGURE 20 IMPACT ANALYSIS: OPPORTUNITIES 46
FIGURE 21 IMPACT ANALYSIS: CHALLENGES 47
FIGURE 22 PORTER’S FIVE FORCES ANALYSIS 51
FIGURE 23 AI IN MINING VALUE CHAIN ANALYSIS 57
FIGURE 24 AI IN MINING ECOSYSTEM 58
FIGURE 25 AVERAGE SELLING PRICE TREND OF AI-POWERED MINING SOFTWARE
IN VARIOUS REGIONS, 2021–2024 61
FIGURE 26 IMPORT SCENARIO FOR HS CODE 8429-COMPLIANT PRODUCTS IN TOP FIVE COUNTRIES, 2020–2024 62
FIGURE 27 EXPORT SCENARIO FOR HS CODE 8429-COMPLIANT PRODUCTS IN TOP FIVE COUNTRIES, 2020–2024 63
FIGURE 28 TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS 64
FIGURE 29 INVESTMENT AND FUNDING SCENARIO, 2021–2021 65
FIGURE 30 PATENTS APPLIED AND GRANTED, 2015–2024 74
FIGURE 31 DECISION-MAKING FACTORS 82
FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS, BY MINING TYPE 83
FIGURE 33 KEY BUYING CRITERIA, BY MINING TYPE 84
FIGURE 34 AI ADOPTION BARRIERS AND INTERNAL CHALLENGES IN MINING SECTOR 85
FIGURE 35 SOFTWARE SEGMENT TO DOMINATE AI IN MINING MARKET FROM 2025 TO 2032 88
FIGURE 36 ON-PREMISES SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD 95
FIGURE 37 GENERATIVE AI SEGMENT TO EXHIBIT HIGHEST CAGR FROM 2025 TO 2032 101
FIGURE 38 OPERATIONS & PROCESS OPTIMIZATION SEGMENT TO
HOLD LARGEST MARKET SHARE IN 2025 109
FIGURE 39 UNDERGROUND MINING SEGMENT TO EXHIBIT HIGHER CAGR
DURING FORECAST PERIOD 121
FIGURE 40 METAL MINING SEGMENT TO CAPTURE LARGEST MARKET SHARE IN 2032 126
FIGURE 41 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR BETWEEN 2025 AND 2032 136
FIGURE 42 NORTH AMERICA: AI IN MINING MARKET SNAPSHOT 138
FIGURE 43 EUROPE: MINING AUTOMATION MARKET SNAPSHOT 145
FIGURE 44 ASIA PACIFIC: MINING AUTOMATION MARKET SNAPSHOT 154
FIGURE 45 ROW: MINING AUTOMATION MARKET SNAPSHOT 163
FIGURE 46 MARKET SHARE ANALYSIS OF COMPANIES OFFERING
AI MINING TECHNOLOGIES, 2024 173
FIGURE 47 AI IN MINING MARKET: REVENUE ANALYSIS OF TOP FOUR PLAYERS, 2020–2024 174
FIGURE 48 COMPANY VALUATION 175
FIGURE 49 FINANCIAL METRICS (EV/EBITDA) 175
FIGURE 50 BRAND/PRODUCT COMPARISON 176
FIGURE 51 AI IN MINING MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 178
FIGURE 52 AI IN MINING MARKET: COMPANY FOOTPRINT 179
FIGURE 53 AI IN MINING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 185
FIGURE 54 CATERPILLAR: COMPANY SNAPSHOT 192
FIGURE 55 KOMATSU: COMPANY SNAPSHOT 196
FIGURE 56 SANDVIK AB: COMPANY SNAPSHOT 201
FIGURE 57 HITACHI CONSTRUCTION MACHINERY CO., LTD.: COMPANY SNAPSHOT 205
FIGURE 58 HEXAGON AB: COMPANY SNAPSHOT 210
FIGURE 59 EPIROC AB: COMPANY SNAPSHOT 216
FIGURE 60 ROCKWELL AUTOMATION: COMPANY SNAPSHOT 220
FIGURE 61 SIEMENS: COMPANY SNAPSHOT 223
FIGURE 62 TRIMBLE INC.: COMPANY SNAPSHOT 227
FIGURE 63 ABB: COMPANY SNAPSHOT 231
FIGURE 64 MICROSOFT: COMPANY SNAPSHOT 235
FIGURE 65 SAP SE: COMPANY SNAPSHOT 238
FIGURE 66 AI IN MINING MARKET: RESEARCH DESIGN 253
FIGURE 67 AI IN MINING MARKET: RESEARCH APPROACH 255
FIGURE 68 DATA CAPTURED FROM SECONDARY SOURCES 256
FIGURE 69 DATA CAPTURED FROM PRIMARY SOURCES 257
FIGURE 70 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE,
DESIGNATION, AND REGION 258
FIGURE 71 CORE FINDINGS FROM INDUSTRY EXPERTS 258
FIGURE 72 AI IN MINING MARKET: RESEARCH FLOW 259
FIGURE 73 AI IN MINING MARKET: BOTTOM-UP APPROACH 260
FIGURE 74 AI IN MINING MARKET: TOP-DOWN APPROACH 260
FIGURE 75 AI IN MINING MARKET SIZE ESTIMATION (SUPPLY SIDE) 261
FIGURE 76 AI IN MINING MARKET: DATA TRIANGULATION 263
FIGURE 77 AI IN MINING MARKET: RESEARCH LIMITATIONS 265

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