環境インテリジェンス・プラットフォーム市場　2026-2036年

「環境インテリジェンス・プラットフォーム市場：用途、技術、エンドユーザー、地域別の規模・シェア・動向分析 — 2036年までの世界予測」と題された最新の調査レポートによると、2025年における世界の環境インテリジェンス・プラットフォーム市場の規模は40億米ドルでした。同市場は、2026年の推定46億5,000万米ドルから2036年には214億米ドルに成長し、予測期間（2026年～2036年）において年平均成長率（CAGR）は16.5%に達するとDataNext Researchでは予測しています。

この市場の急成長は、主に、極端な気象現象の頻発・激甚化や、気候変動が世界のインフラ、サプライチェーン、金融の安定性にもたらす物理的リスクの増大によって牽引されています。環境インテリジェンス・プラットフォームは、高解像度の地球観測データ、人工知能（AI）、高度なモデリング技術を融合させ、気候適応や災害に対するレジリエンス（回復力）強化に役立つ、実用的な知見（インサイト）を提供します。世界中の企業や政府が、気候リスクの開示や環境情報の透明性確保を求める規制圧力の強まりに直面する中、これらのプラットフォームは戦略的意思決定を行うための不可欠なツールとなっています。さらに、気象予測向けのAI基盤モデルの成熟や、民間衛星コンステレーションの拡大も市場の成長を後押ししています。これらの技術は、メタン漏出の検知から森林伐採のリアルタイム監視に至るまで、地球環境の状態に関するかつてないレベルの可視化を実現しています。

環境インテリジェンス・プラットフォーム市場の主なハイライト

• 世界の環境インテリジェンス・プラットフォーム市場は、2026年から2036年にかけて年平均成長率（CAGR）16.5%で推移し、2036年には214億米ドルに達すると予測されています。
• 2026年時点で、北米は世界の環境インテリジェンス・プラットフォーム市場において最大のシェア（総収益の約40%）を占めています。これは、保険、エネルギー、農業、政府機関からの需要に加え、プラットフォーム提供企業が同地域に集中していることが主な要因です。
• 用途別では、「気象インテリジェンス・予測」が最大のセグメントとなっており、「気候・物理的リスク分析」は最も急速に成長している分野の一つです。
• 技術面では、IoTセンサー、気象・気候モデル、人工知能（AI）と組み合わされた「衛星・地球観測」が主要な技術となっています。
• エンドユーザー（利用分野）としては、エネルギー・公益事業、農業、保険・金融サービス、政府機関が主要なセグメントです。
• 物理的な気候リスクや異常気象の増加に伴い、金融、保険、インフラの各分野で気候リスク分析への需要が高まっています。
• 商用およびオープンな衛星データの利用拡大とAIの活用により、環境モニタリングのコスト低減と適用範囲の拡大が進んでいます。
• メタン排出規制の強化を背景に、商用メタン検知・分析を通じた宇宙ベースの排出量モニタリングが拡大しています。
• 森林減少や自然関連の要件（2026年12月適用開始のEU森林減少防止規則など）により、自然・土地に関するインテリジェンスへの需要が高まっています。

世界の環境インテリジェンス・プラットフォーム市場は、用途（気候・物理的リスク分析、気象インテリジェンス・予測、地球観測・地理空間インテリジェンス、排出量・大気質モニタリング、自然・生物多様性インテリジェンス）、技術（AI・機械学習、衛星画像・リモートセンシング、IoT・環境センサー、クラウドコンピューティング・ビッグデータ）、エンドユーザー（保険・金融サービス、エネルギー・公益事業、農業・林業、政府・公共部門、小売・物流）、および地域別に区分されています。本調査では、業界の競合他社を対象に含めるとともに、国別の市場分析も行っています。

用途別に見ると、2026年には「気候・物理的リスク分析」セグメントが世界の環境インテリジェンス・プラットフォーム市場で最大のシェアを占めると予想されます。この優位性は、金融機関やインフラ事業者が、海面上昇、洪水、極端な高温が自社の資産に及ぼす長期的な影響を定量化する必要性に迫られていることに起因しています。気候リスク開示の義務化基準の導入が、このセグメントの成長を後押しする主な要因となっています。一方、予測期間中に最も高い年平均成長率（CAGR）を記録すると見込まれるのは、「自然・生物多様性インテリジェンス」セグメントです。このセグメントの成長は、生物多様性市場の急速な成熟に加え、「世界生物多様性枠組」やサプライチェーンの透明性に関する新たな規制を受けて、企業が自然生態系への影響を把握する必要性が高まっていることによって促進されています。

エンドユーザー別では、2026年に市場シェアの主要な構成要素となると予想されるのは「保険・金融サービス」セグメントです。保険業界は、環境インテリジェンスを活用して、カタストロフィ・モデリング（大規模災害の予測モデル）の精緻化、引受査定（アンダーライティング）精度の向上、さらには気象事象に基づいて自動的に保険金が支払われるパラメトリック保険商品の開発を積極的に進めています。その一方で、最も急速な成長を遂げているのは「エネルギー・公益事業」セグメントです。これは、再生可能エネルギーへの世界的な移行が進む中で、風力や太陽光発電設備の配置・運用の最適化や、極端な気象事象の脅威に対する電力網の物理的な安全性の監視において、環境インテリジェンスが不可欠となっているためです。

Report Description

According to the latest research report titled, ‘Environmental Intelligence Platform Market Size, Share & Trends Analysis by Application, Technology, End User, and Geography—Global Forecast to 2036,’ the global environmental intelligence platform market was valued at USD 4.0 billion in 2025. The market is projected to reach USD 21.4 billion by 2036 from an estimated USD 4.65 billion in 2026, growing at a CAGR of 16.5% during the forecast period (2026–2036). The rapid growth of this market is primarily driven by the escalating frequency and severity of extreme weather events and the increasing physical risks posed by climate change to global infrastructure, supply chains, and financial stability. Environmental intelligence platforms leverage a convergence of high-resolution Earth observation data, artificial intelligence, and advanced modeling to provide actionable insights for climate adaptation and disaster resilience. As enterprises and governments worldwide face intensifying regulatory pressure for climate risk disclosure and environmental transparency, these platforms have become essential tools for strategic decision-making. The market is further propelled by the maturation of AI foundation models for weather and the expansion of private satellite constellations, which are providing unprecedented visibility into planetary health, from methane leak detection to real-time deforestation monitoring.

The global environmental intelligence platform market is currently undergoing a profound structural transformation, a shift that is fundamentally redefining the relationship between planetary data and economic decision-making. This transformation is anchored by the transition from descriptive environmental data toward predictive and prescriptive intelligence. Historically, environmental monitoring was a retrospective activity, focused on recording past events and historical trends. Today, the industry is pivoting toward ‘real-time planetary awareness,’ characterized by the integration of live satellite feeds, IoT sensor networks, and generative AI models that can simulate future climate scenarios with hyper-local precision. This shift is not merely a technological upgrade but a fundamental change in the operational philosophy of the sector, where ‘environmental risk’ is being integrated into the core financial and operational frameworks of global enterprises. The move toward ‘Digital Twins of the Earth’ represents a paradigm shift, where complex environmental systems—such as river basins, coastal cities, and forest ecosystems—are modeled in high-fidelity digital environments to predict the impact of human interventions and climate volatility.

Key Highlights – Environmental Intelligence Platform Market

• The global environmental intelligence platform market is expected to reach USD 21.4 billion by 2036, at a CAGR of 16.5% from 2026 to 2036.
• North America accounts for the largest share of the global environmental intelligence platform market in 2026, holding around 40% of total revenue, driven by demand from insurance, energy, agriculture, and government, and a concentration of platform providers.
• Weather intelligence and forecasting is the largest application segment, while climate and physical risk analytics is among the fastest-growing.
• Satellite and Earth observation is the leading technology, combined with IoT sensors, weather and climate models, and artificial intelligence.
• Energy and utilities, agriculture, insurance and financial services, and government are the largest end-user segments.
• Rising physical climate risk and extreme weather are driving demand for climate risk analytics across finance, insurance, and infrastructure.
• The expansion of commercial and open satellite data, combined with artificial intelligence, is lowering the cost and expanding the reach of environmental monitoring.
• Space-based emissions monitoring is expanding through commercial methane detection and analytics, supported by tightening methane regulation.
• Deforestation and nature-related requirements, including the EU Deforestation Regulation applying from December 2026, are driving demand for nature and land intelligence.

Another pivotal dimension of this transformation is the rapid ‘convergence of nature and climate intelligence.’ For years, climate risk and biodiversity monitoring operated in separate silos. However, the modern market is seeing an unprecedented surge in demand for unified platforms that can simultaneously track carbon sequestration, water security, and ecosystem health. This integration is being accelerated by new regulatory frameworks, such as the EU Deforestation Regulation (EUDR) and the Taskforce on Nature-related Financial Disclosures (TNFD), which require companies to demonstrate that their supply chains are both climate-resilient and nature-positive. Furthermore, the industry is witnessing a significant move toward ‘democratized Earth observation.’ The emergence of cloud-native platforms like Google Earth Engine and Microsoft Planetary Computer has lowered the technical barriers to entry, allowing a new generation of AI-first startups to build specialized applications for emissions monitoring and precision agriculture. Simultaneously, the adoption of ‘on-device intelligence’ at the edge—where environmental sensors perform local processing before transmitting data—is addressing the challenges of bandwidth and latency in remote monitoring applications. The convergence of these trends—digital twins, nature-climate integration, and cloud-native analytics—is positioning environmental intelligence as the indispensable foundational technology for the global transition toward a regenerative and resilient economy.

Market Segmentation Analysis

The global environmental intelligence platform market is segmented by application (climate & physical risk analytics, weather intelligence & forecasting, Earth observation & geospatial intelligence, emissions & air quality monitoring, and nature & biodiversity intelligence), technology (artificial intelligence & machine learning, satellite imagery & remote sensing, IoT & environmental sensors, and cloud computing & big data), end user (insurance & financial services, energy & utilities, agriculture & forestry, government & public sector, and retail & logistics), and geography. The study evaluation includes industry competitors and analyzes the market at the country level.

Based on Application

By application, the climate & physical risk analytics segment is expected to hold the largest share of the global environmental intelligence platform market in 2026. This dominance is driven by the urgent need for financial institutions and infrastructure operators to quantify the long-term impacts of sea-level rise, flooding, and extreme heat on their assets. The implementation of mandatory climate risk reporting standards is a primary catalyst for this segment. However, the nature & biodiversity intelligence segment is projected to register the highest CAGR during the forecast period. The growth of this segment is fueled by the rapid maturation of biodiversity markets and the increasing requirement for companies to track their impact on natural ecosystems, driven by the Global Biodiversity Framework and new supply chain transparency regulations.

Based on Technology

By technology, the artificial intelligence & machine learning segment is expected to hold the largest share in 2026. AI is the critical engine that transforms raw Earth observation data into actionable intelligence, enabling the detection of patterns and anomalies that are invisible to traditional statistical models. The adoption of foundation models specifically trained on environmental datasets is further solidifying this segment’s leadership. Conversely, the satellite imagery & remote sensing segment is projected to grow at a significant rate. The increasing availability of high-revisit, high-resolution imagery from private small-sat constellations is providing the high-frequency data streams necessary for real-time environmental monitoring and rapid disaster response.

Based on End User

By end user, the insurance & financial services segment is expected to be the major contributor to the market share in 2026. The insurance industry is at the forefront of utilizing environmental intelligence to refine catastrophe modeling, improve underwriting accuracy, and develop new parametric insurance products that trigger automatic payouts based on weather events. Meanwhile, the energy & utilities segment is witnessing the fastest growth. This is driven by the global transition toward renewable energy, where environmental intelligence is essential for optimizing the placement and operation of wind and solar assets, as well as for monitoring the physical security of the electrical grid against extreme weather threats.

Geographic Analysis

In 2026, North America is expected to account for the largest share of the global environmental intelligence platform market, representing a dominant 40% of the total global revenue. The region’s commanding position is anchored by a unique combination of high institutional demand and a high concentration of platform providers. The United States, in particular, is the primary driver of this regional market, featuring a mature insurance and financial sector that is an early adopter of climate risk analytics. The presence of global technology giants and pioneering climate-tech startups in Silicon Valley and the Northeast corridor facilitates rapid innovation in AI and Earth observation. Furthermore, the U.S. government’s significant investment in public Earth observation programs, such as NASA’s Landsat and NOAA’s weather satellites, provides a foundational data layer that supports the commercial platform ecosystem. The North American market is also characterized by a strong focus on disaster resilience and wildfire monitoring, driving the adoption of high-frequency weather intelligence platforms. The key companies operating in the North American market include IBM Corporation, Jupiter Intelligence, Tomorrow.io, and Planet Labs PBC.

Europe represents a substantial and highly sophisticated segment of the global environmental intelligence platform market, accounting for approximately 27% of global revenue in 2026. The region’s market dynamics are characterized by a strong emphasis on environmental regulation and a highly coordinated approach to Earth observation. European nations, particularly Germany, France, and the UK, have been at the forefront of developing rigorous regulatory frameworks, such as the EU Deforestation Regulation (EUDR) and the Corporate Sustainability Reporting Directive (CSRD). These policies mandate the extensive use of environmental intelligence for supply chain verification and climate disclosure. The European market is also distinguished by its leadership in public Earth observation through the Copernicus program, which provides free and open access to high-quality satellite data, fostering a vibrant ecosystem of downstream service providers. The presence of numerous innovative climate-tech firms in the London and Berlin clusters fosters a highly competitive environment that drives continuous improvement in biodiversity and nature-based intelligence. The key companies operating in the European market include Climate X, Sust Global, Kayrros, and Meteomatics.

Asia-Pacific is projected to be the most dynamic and fastest-growing region in the global environmental intelligence platform market, registering the highest CAGR during the forecast period. This rapid expansion is primarily driven by the region’s high vulnerability to climate-related disasters and the massive investments in digital transformation currently underway in China, India, and Southeast Asia. As these nations seek to build climate-resilient infrastructure and improve disaster management capabilities, there is an unprecedented surge in demand for advanced weather forecasting and flood risk modeling. China’s rapid expansion of its own satellite constellations and its focus on ‘Ecological Civilization’ are transformative policy drivers. Furthermore, the region’s dominant role in global manufacturing and agriculture makes it a critical focus for supply chain resilience analytics. The expansion of the high-tech sector in Asia-Pacific, particularly in the integration of AI and geospatial data, is enabling the development of localized solutions for monsoon prediction and coastal protection. The key companies operating in the Asia-Pacific market include Ambee, Satelligence (through regional partnerships), and a growing number of domestic technology integrators.

Latin America and the Middle East & Africa (MEA) represent critical emerging frontiers for the environmental intelligence platform market, where the demand for monitoring technologies is rising in tandem with resource management and conservation efforts. In Latin America, the market is primarily driven by the urgent need for deforestation monitoring and sustainable agriculture in the Amazon and Cerrado regions. The region is an early adopter of satellite-based nature intelligence to comply with international zero-deforestation requirements. In the Middle East, the market is propelled by the region’s acute water scarcity and ambitious government-led development plans, such as Saudi Arabia’s ‘Vision 2030.’ These nations are investing heavily in environmental intelligence to manage extreme heat, optimize desalination processes, and monitor the impact of large-scale reforestation projects. In Africa, the market is in the early stages of development but presents significant long-term potential for improving food security and climate adaptation through mobile-first weather intelligence and soil health monitoring. The key companies operating in these regions include global leaders who partner with specialized local agencies to provide the necessary technical expertise and data localization.

Competitive Landscape

The global environmental intelligence platform market is competitive and diverse, spanning climate risk analytics firms, weather intelligence providers, Earth observation and geospatial companies, emissions and methane monitoring specialists, nature intelligence providers, and technology and cloud companies. Participants compete on data quality and coverage, scientific and modeling capability, resolution and frequency, analytics and AI capability, and sector expertise. Established weather and geospatial companies compete with specialized climate risk and emissions startups, and technology and cloud companies increasingly provide the infrastructure and platforms that underpin the market.

A key competitive trend is the convergence of satellite data, sensors, weather and climate models, and artificial intelligence into integrated environmental intelligence platforms, alongside the entry of large technology and cloud companies. Providers are combining Earth observation, climate modeling, and AI to deliver decision-ready insight, while specialized firms differentiate through domain expertise in climate risk, methane, or nature. Partnerships among satellite operators, analytics providers, cloud companies, and public agencies are accelerating capability and adoption, and the emphasis on scientific credibility and decision-usefulness is favoring providers that can deliver accurate, actionable environmental intelligence.

Key Players

The key players operating in the global environmental intelligence platform market include IBM Corporation (U.S.), Jupiter Intelligence (U.S.), Climate X (U.K.), Sust Global (U.K.), ClimateAi (U.S.), One Concern (U.S.), Mitiga Solutions (Spain), Riskthinking.AI (Canada), Tomorrow.io (U.S.), DTN (U.S.), AccuWeather (U.S.), Meteomatics (Switzerland), Salient Predictions (U.S.), Planet Labs PBC (U.S.), Descartes Labs (U.S.), Google (Earth Engine) (U.S.), Microsoft (Planetary Computer) (U.S.), Kayrros (France), GHGSat (Canada), Carbon Mapper (U.S.), Satelligence (Netherlands), Space Intelligence Ltd. (U.K.), NatureMetrics (U.K.), Ambee (India), Aclima (U.S.), Understory (U.S.), Dryad Networks (Germany), and EarthDaily Analytics (Canada).

Key Questions Answered in the Report—

• What is the projected size of the global environmental intelligence platform market by 2036?

The global environmental intelligence platform market is projected to reach USD 21.4 billion by 2036.

• What is the expected CAGR for the market during the forecast period?

The market is expected to grow at a CAGR of 16.5% from 2026 to 2036.

• Which application segment is expected to hold the major share of the market in 2026?

The climate & physical risk analytics segment is expected to hold the largest share due to mandatory climate risk reporting standards.

• Which geographical region is expected to dominate the market in 2026?

North America is expected to dominate the market with a 40% share, driven by a high concentration of platform providers and institutional demand.

• How is the integration of AI foundation models impacting weather intelligence?

AI foundation models are enabling hyper-local, real-time simulated scenarios, significantly improving the precision of weather forecasting.

• What is the role of the EU Deforestation Regulation in driving the nature intelligence segment?

The EUDR mandates supply chain verification, forcing companies to adopt nature intelligence platforms to demonstrate deforestation-free sourcing.

• Which technology trend is facilitating the ‘democratization’ of Earth observation?

Cloud-native platforms like Google Earth Engine are lowering technical barriers, allowing startups to build specialized environmental applications.

• How is parametric insurance utilizing environmental intelligence?

Environmental intelligence provides the high-frequency data needed to trigger automatic insurance payouts based on predefined weather thresholds.

Scope of the Report:

Environmental Intelligence Platform Market Assessment — by Application

• Climate & Physical Risk Analytics
• Weather Intelligence & Forecasting
• Earth Observation & Geospatial Intelligence
• Emissions & Air Quality Monitoring
• Nature & Biodiversity Intelligence

Environmental Intelligence Platform Market Assessment — by Technology

• Artificial Intelligence & Machine Learning
• Satellite Imagery & Remote Sensing
• IoT & Environmental Sensors
• Cloud Computing & Big Data

Environmental Intelligence Platform Market Assessment — by End User

• Insurance & Financial Services
• Energy & Utilities
• Agriculture & Forestry
• Government & Public Sector
• Retail & Logistics
• Other End Users

Environmental Intelligence Platform Market Assessment — by Geography

• North America (U.S., Canada)
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, South Korea, India, Australia, Rest of Asia-Pacific)
• Latin America (Brazil, Mexico, Rest of Latin America)
• Middle East & Africa (UAE, Saudi Arabia, South Africa, Rest of MEA)

Table of Contents

1. Introduction

1.1. Market Definition

1.2. Market Ecosystem

1.3. Currency and Limitations

1.3.1. Currency

1.3.2. Limitations

1.4. Key Stakeholders

2. Research Methodology

2.1. Research Approach

2.2. Data Collection & Validation

2.2.1. Secondary Research

2.2.2. Primary Research

2.3. Market Assessment

2.3.1. Market Size Estimation

2.3.2. Bottom-Up Approach

2.3.3. Top-Down Approach

2.3.4. Growth Forecast

2.4. Assumptions for the Study

3. Executive Summary

3.1. Overview

3.2. Market Analysis, by Application

3.3. Market Analysis, by Technology

3.4. Market Analysis, by End User

3.5. Market Analysis, by Geography

3.6. Competitive Analysis

4. Market Insights

4.1. Introduction

4.2. Global Environmental Intelligence Platform Market: Impact Analysis of Market Drivers (2026–2036)

4.2.1. Rising Physical Climate Risk and Extreme Weather

4.2.2. Expansion of Earth Observation Data and Artificial Intelligence

4.3. Global Environmental Intelligence Platform Market: Impact Analysis of Market Restraints (2026–2036)

4.3.1. Data Integration, Cost, and Scientific Uncertainty

4.4. Global Environmental Intelligence Platform Market: Impact Analysis of Market Opportunities (2026–2036)

4.4.1. Emissions and Methane Monitoring from Space

4.4.2. Nature, Biodiversity, and Deforestation Intelligence

4.5. Global Environmental Intelligence Platform Market: Impact Analysis of Market Challenges (2026–2036)

4.5.1. Data Quality, Validation, and Decision-Usefulness

4.6. Global Environmental Intelligence Platform Market: Impact Analysis of Market Trends (2026–2036)

4.6.1. AI Foundation Models for Weather and Earth Observation

4.6.2. Digital Twins of the Earth and Environmental Modeling

4.6.3. Convergence of Climate, Weather, and Nature Intelligence

4.7. Porter’s Five Forces Analysis

5. Industry Ecosystem / Value Chain

5.1. Introduction to the Environmental Intelligence Value Chain

5.2. Satellites, Sensors, and Data Sources

5.3. Data Platforms, Models, and Analytics

5.4. Environmental Intelligence Applications and Insight

5.5. Integration, Decision Support, and Delivery

5.6. Enterprises, Governments, and End Users

6. Competitive Landscape

6.1. Introduction

6.2. Key Growth Strategies

6.3. Competitive Dashboard

6.4. Vendor Market Positioning

6.5. Market Share / Ranking Analysis

7. Environmental Intelligence Platform Market, by Application

7.1. Introduction

7.2. Climate & Physical Risk Analytics

7.3. Weather Intelligence & Forecasting

7.4. Earth Observation & Geospatial Monitoring

7.5. Air & Water Quality Intelligence

7.6. Emissions & Methane Monitoring

7.7. Biodiversity & Nature Intelligence

8. Environmental Intelligence Platform Market, by Technology

8.1. Introduction

8.2. Satellite & Earth Observation

8.3. IoT & Ground Sensors

8.4. Weather & Climate Models

8.5. Artificial Intelligence & Machine Learning

9. Environmental Intelligence Platform Market, by End User

9.1. Introduction

9.2. Energy & Utilities

9.3. Agriculture

9.4. Insurance & Financial Services

9.5. Government & Public Sector

9.6. Manufacturing & Supply Chain

9.7. Transportation & Logistics

9.8. Other End Users

10. Environmental Intelligence Platform Market, by Geography

10.1. Introduction

10.2. North America

10.2.1. United States

10.2.2. Canada

10.3. Europe

10.3.1. United Kingdom

10.3.2. Germany

10.3.3. France

10.3.4. Rest of Europe

10.4. Asia-Pacific

10.4.1. China

10.4.2. India

10.4.3. Japan

10.4.4. Australia

10.4.5. Rest of Asia-Pacific

10.5. Latin America

10.5.1. Brazil

10.5.2. Mexico

10.5.3. Rest of Latin America

10.6. Middle East & Africa

10.6.1. GCC Countries

10.6.2. South Africa

10.6.3. Rest of Middle East & Africa

11. Company Profiles

(Business Overview, Financial Overview, Product Portfolio, Strategic Developments, SWOT Analysis)

11.1. IBM Corporation

11.2. Jupiter Intelligence

11.3. Climate X

11.4. Sust Global

11.5. ClimateAi

11.6. One Concern

11.7. Mitiga Solutions

11.8. Tomorrow.io

11.9. DTN

11.10. AccuWeather

11.11. Planet Labs PBC

11.12. Descartes Labs

11.13. Kayrros

11.14. GHGSat

11.15. Carbon Mapper

11.16. Satelligence

11.17. Space Intelligence Ltd.

11.18. NatureMetrics

11.19. Other Players

12. Sustainability Impact Analysis

12.1. Strengthening Climate Resilience and Adaptation

12.2. Supporting Emissions Monitoring and Mitigation

12.3. Advancing Nature and Ecosystem Protection

12.4. Improving Resource Management and Disaster Response

13. Appendix

13.1. Questionnaire

13.2. Available Customization

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