Geospatial Analytics Artificial Intelligence Market Size to Hit USD 472.62 Billion by 2034

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Geospatial Analytics Artificial Intelligence Market

5.1. COVID-19 Landscape: Geospatial Analytics Artificial Intelligence Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Geospatial Analytics Artificial Intelligence Market, By Component

8.1. Geospatial Analytics Artificial Intelligence Market Revenue and Volume, by Component

8.1.1. Software

8.1.1.1. Market Revenue and Volume Forecast

8.1.2. Hardware

8.1.2.1. Market Revenue and Volume Forecast

8.1.3. Services

8.1.3.1. Market Revenue and Volume Forecast

Chapter 9. Global Geospatial Analytics Artificial Intelligence Market, By Technology

9.1. Geospatial Analytics Artificial Intelligence Market Revenue and Volume, by Technology

9.1.1. Machine Learning

9.1.1.1. Market Revenue and Volume Forecast

9.1.2. Deep Learning

9.1.2.1. Market Revenue and Volume Forecast

9.1.2. Natural Language Processing (NLP)

9.1.2.1. Market Revenue and Volume Forecast

9.1.2. Computer Vision

9.1.2.1. Market Revenue and Volume Forecast

9.1.3. Reinforcement Learning

9.1.3.1. Market Revenue and Volume Forecast

9.1.4. Edge AI

9.1.4.1. Market Revenue and Volume Forecast

Chapter 10. Global Geospatial Analytics Artificial Intelligence Market, By Data Source

10.1. Geospatial Analytics Artificial Intelligence Market Revenue and Volume, by Data Source

10.1.1. Satellite Imagery

10.1.1.1. Market Revenue and Volume Forecast

10.1.2. UAV/Drone Imagery

10.1.2.1. Market Revenue and Volume Forecast

10.1.3. Mobile Device Location Data

10.1.3.1. Market Revenue and Volume Forecast

10.1.4. Sensor & IoT Data

10.1.4.1. Market Revenue and Volume Forecast

10.1.5. GIS Data

10.1.5.1. Market Revenue and Volume Forecast

10.1.6. Social Media Geotagged Data

10.1.6.1. Market Revenue and Volume Forecast

10.1.7. 3D Spatial Data

10.1.7.1. Market Revenue and Volume Forecast

Chapter 11. Global Geospatial Analytics Artificial Intelligence Market, By Deployment Mode

11.1. Geospatial Analytics Artificial Intelligence Market Revenue and Volume, by Deployment Mode

11.1.1. On-Premise

11.1.1.1. Market Revenue and Volume Forecast

11.1.2. Cloud-Based

11.1.2.1. Market Revenue and Volume Forecast

Chapter 12. Global Geospatial Analytics Artificial Intelligence Market, By Application

12.1. Geospatial Analytics Artificial Intelligence Market Revenue and Volume, by Application

12.1.1. Urban Planning & Smart Cities

12.1.1.1. Market Revenue and Volume Forecast

12.1.2. Defense & Security Intelligence

12.1.2.1. Market Revenue and Volume Forecast

12.1.3. Environmental Monitoring & Conservation

12.1.3.1. Market Revenue and Volume Forecast

12.1.4. Agriculture & Forestry

12.1.4.1. Market Revenue and Volume Forecast

12.1.5. Disaster Risk Management

12.1.5.1. Market Revenue and Volume Forecast

12.1.6. Transportation & Logistics Optimization

12.1.6.1. Market Revenue and Volume Forecast

12.1.7. Utilities & Infrastructure Management

12.1.7.1. Market Revenue and Volume Forecast

12.1.8. Retail & Real Estate Planning

12.1.8.1. Market Revenue and Volume Forecast

12.1.9. Oil & Gas Exploration

12.1.9.1. Market Revenue and Volume Forecast

12.1.10. Mining & Natural Resource Management

12.1.2.10.1. Market Revenue and Volume Forecast

12.1.11. Insurance & Risk Analytics

12.1.11.1. Market Revenue and Volume Forecast

Chapter 13. Global Geospatial Analytics Artificial Intelligence Market, By End-Use Industry

13.1. Geospatial Analytics Artificial Intelligence Market Revenue and Volume, by End-Use Industry

13.1.1. Government & Public Sector

13.1.1.1. Market Revenue and Volume Forecast

13.1.2. Military & Defense

13.1.2.1. Market Revenue and Volume Forecast

13.1.3. Agriculture

13.1.3.1. Market Revenue and Volume Forecast

13.1.4. Environmental Agencies

13.1.4.1. Market Revenue and Volume Forecast

13.1.5. Transportation & Logistics

13.1.5.1. Market Revenue and Volume Forecast

13.1.6. Energy & Utilities

13.1.6.1. Market Revenue and Volume Forecast

13.1.7. Retail & Real Estate

13.1.7.1. Market Revenue and Volume Forecast

13.1.8. BFSI (Insurance & Risk Assessment)

13.1.8.1. Market Revenue and Volume Forecast

13.1.9. Healthcare & Epidemiology

13.1.9.1. Market Revenue and Volume Forecast

13.1.10. Telecommunications

13.1.3.10.1. Market Revenue and Volume Forecast

Chapter 14. Global Geospatial Analytics Artificial Intelligence Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Volume Forecast, by Component

14.1.2. Market Revenue and Volume Forecast, by Technology

14.1.3. Market Revenue and Volume Forecast, by Data Source

14.1.4. Market Revenue and Volume Forecast, by Deployment Mode

14.1.5. Market Revenue and Volume Forecast, by Application

14.1.6. Market Revenue and Volume Forecast, by End-Use Industry

14.1.7. U.S.

14.1.7.1. Market Revenue and Volume Forecast, by Component

14.1.7.2. Market Revenue and Volume Forecast, by Technology

14.1.7.3. Market Revenue and Volume Forecast, by Data Source

14.1.7.4. Market Revenue and Volume Forecast, by Deployment Mode

14.1.8. Market Revenue and Volume Forecast, by Application

14.1.8.1. Market Revenue and Volume Forecast, by End-Use Industry

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Volume Forecast, by Component

14.1.9.2. Market Revenue and Volume Forecast, by Technology

14.1.9.3. Market Revenue and Volume Forecast, by Data Source

14.1.9.4. Market Revenue and Volume Forecast, by Deployment Mode

14.1.10. Market Revenue and Volume Forecast, by Application

14.1.11. Market Revenue and Volume Forecast, by End-Use Industry

14.1.11.1.

14.2. Europe

14.2.1. Market Revenue and Volume Forecast, by Component

14.2.2. Market Revenue and Volume Forecast, by Technology

14.2.3. Market Revenue and Volume Forecast, by Data Source

14.2.4. Market Revenue and Volume Forecast, by Deployment Mode

14.2.5. Market Revenue and Volume Forecast, by Application

14.2.6. Market Revenue and Volume Forecast, by End-Use Industry

14.2.7.

14.2.8. UK

14.2.8.1. Market Revenue and Volume Forecast, by Component

14.2.8.2. Market Revenue and Volume Forecast, by Technology

14.2.8.3. Market Revenue and Volume Forecast, by Data Source

14.2.9. Market Revenue and Volume Forecast, by Deployment Mode

14.2.10. Market Revenue and Volume Forecast, by Application

14.2.10.1. Market Revenue and Volume Forecast, by End-Use Industry

14.2.11. Germany

14.2.11.1. Market Revenue and Volume Forecast, by Component

14.2.11.2. Market Revenue and Volume Forecast, by Technology

14.2.11.3. Market Revenue and Volume Forecast, by Data Source

14.2.12. Market Revenue and Volume Forecast, by Deployment Mode

14.2.13. Market Revenue and Volume Forecast, by Application

14.2.14. Market Revenue and Volume Forecast, by End-Use Industry

14.2.14.1.

14.2.15. France

14.2.15.1. Market Revenue and Volume Forecast, by Component

14.2.15.2. Market Revenue and Volume Forecast, by Technology

14.2.15.3. Market Revenue and Volume Forecast, by Data Source

14.2.15.4. Market Revenue and Volume Forecast, by Deployment Mode

14.2.16. Market Revenue and Volume Forecast, by Application

14.2.16.1. Market Revenue and Volume Forecast, by End-Use Industry

14.2.17. Rest of Europe

14.2.17.1. Market Revenue and Volume Forecast, by Component

14.2.17.2. Market Revenue and Volume Forecast, by Technology

14.2.17.3. Market Revenue and Volume Forecast, by Data Source

14.2.17.4. Market Revenue and Volume Forecast, by Deployment Mode

14.2.18. Market Revenue and Volume Forecast, by Application

14.2.18.1. Market Revenue and Volume Forecast, by End-Use Industry

14.3. APAC

14.3.1. Market Revenue and Volume Forecast, by Component

14.3.2. Market Revenue and Volume Forecast, by Technology

14.3.3. Market Revenue and Volume Forecast, by Data Source

14.3.4. Market Revenue and Volume Forecast, by Deployment Mode

14.3.5. Market Revenue and Volume Forecast, by Application

14.3.6. Market Revenue and Volume Forecast, by End-Use Industry

14.3.7. India

14.3.7.1. Market Revenue and Volume Forecast, by Component

14.3.7.2. Market Revenue and Volume Forecast, by Technology

14.3.7.3. Market Revenue and Volume Forecast, by Data Source

14.3.7.4. Market Revenue and Volume Forecast, by Deployment Mode

14.3.8. Market Revenue and Volume Forecast, by Application

14.3.9. Market Revenue and Volume Forecast, by End-Use Industry

14.3.10. China

14.3.10.1. Market Revenue and Volume Forecast, by Component

14.3.10.2. Market Revenue and Volume Forecast, by Technology

14.3.10.3. Market Revenue and Volume Forecast, by Data Source

14.3.10.4. Market Revenue and Volume Forecast, by Deployment Mode

14.3.11. Market Revenue and Volume Forecast, by Application

14.3.11.1. Market Revenue and Volume Forecast, by End-Use Industry

14.3.12. Japan

14.3.12.1. Market Revenue and Volume Forecast, by Component

14.3.12.2. Market Revenue and Volume Forecast, by Technology

14.3.12.3. Market Revenue and Volume Forecast, by Data Source

14.3.12.4. Market Revenue and Volume Forecast, by Deployment Mode

14.3.12.5. Market Revenue and Volume Forecast, by Application

14.3.12.6. Market Revenue and Volume Forecast, by End-Use Industry

14.3.13. Rest of APAC

14.3.13.1. Market Revenue and Volume Forecast, by Component

14.3.13.2. Market Revenue and Volume Forecast, by Technology

14.3.13.3. Market Revenue and Volume Forecast, by Data Source

14.3.13.4. Market Revenue and Volume Forecast, by Deployment Mode

14.3.13.5. Market Revenue and Volume Forecast, by Application

14.3.13.6. Market Revenue and Volume Forecast, by End-Use Industry

14.4. MEA

14.4.1. Market Revenue and Volume Forecast, by Component

14.4.2. Market Revenue and Volume Forecast, by Technology

14.4.3. Market Revenue and Volume Forecast, by Data Source

14.4.4. Market Revenue and Volume Forecast, by Deployment Mode

14.4.5. Market Revenue and Volume Forecast, by Application

14.4.6. Market Revenue and Volume Forecast, by End-Use Industry

14.4.7. GCC

14.4.7.1. Market Revenue and Volume Forecast, by Component

14.4.7.2. Market Revenue and Volume Forecast, by Technology

14.4.7.3. Market Revenue and Volume Forecast, by Data Source

14.4.7.4. Market Revenue and Volume Forecast, by Deployment Mode

14.4.8. Market Revenue and Volume Forecast, by Application

14.4.9. Market Revenue and Volume Forecast, by End-Use Industry

14.4.10. North Africa

14.4.10.1. Market Revenue and Volume Forecast, by Component

14.4.10.2. Market Revenue and Volume Forecast, by Technology

14.4.10.3. Market Revenue and Volume Forecast, by Data Source

14.4.10.4. Market Revenue and Volume Forecast, by Deployment Mode

14.4.11. Market Revenue and Volume Forecast, by Application

14.4.12. Market Revenue and Volume Forecast, by End-Use Industry

14.4.13. South Africa

14.4.13.1. Market Revenue and Volume Forecast, by Component

14.4.13.2. Market Revenue and Volume Forecast, by Technology

14.4.13.3. Market Revenue and Volume Forecast, by Data Source

14.4.13.4. Market Revenue and Volume Forecast, by Deployment Mode

14.4.13.5. Market Revenue and Volume Forecast, by Application

14.4.13.6. Market Revenue and Volume Forecast, by End-Use Industry

14.4.14. Rest of MEA

14.4.14.1. Market Revenue and Volume Forecast, by Component

14.4.14.2. Market Revenue and Volume Forecast, by Technology

14.4.14.3. Market Revenue and Volume Forecast, by Data Source

14.4.14.4. Market Revenue and Volume Forecast, by Deployment Mode

14.4.14.5. Market Revenue and Volume Forecast, by Application

14.4.14.6. Market Revenue and Volume Forecast, by End-Use Industry

14.5. Latin America

14.5.1. Market Revenue and Volume Forecast, by Component

14.5.2. Market Revenue and Volume Forecast, by Technology

14.5.3. Market Revenue and Volume Forecast, by Data Source

14.5.4. Market Revenue and Volume Forecast, by Deployment Mode

14.5.5. Market Revenue and Volume Forecast, by Application

14.5.6. Market Revenue and Volume Forecast, by End-Use Industry

14.5.7. Brazil

14.5.7.1. Market Revenue and Volume Forecast, by Component

14.5.7.2. Market Revenue and Volume Forecast, by Technology

14.5.7.3. Market Revenue and Volume Forecast, by Data Source

14.5.7.4. Market Revenue and Volume Forecast, by Deployment Mode

14.5.8. Market Revenue and Volume Forecast, by Application

14.5.8.1. Market Revenue and Volume Forecast, by End-Use Industry

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Volume Forecast, by Component

14.5.9.2. Market Revenue and Volume Forecast, by Technology

14.5.9.3. Market Revenue and Volume Forecast, by Data Source

14.5.9.4. Market Revenue and Volume Forecast, by Deployment Mode

14.5.9.5. Market Revenue and Volume Forecast, by Application

14.5.9.6. Market Revenue and Volume Forecast, by End-Use Industry

Chapter 15. Company Profiles

15.1. Airbus Defence and Space

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Astraea Inc.

15.2.1. Company Overview

15.2.2. Product Offerings

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. Descartes Labs

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. Google (Alphabet Inc.)

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. Hexagon AB

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. Mapillary (Meta Platforms)

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. Maxar Technologies

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

15.8. Microsoft Corporation

15.8.1. Company Overview

15.8.2. Product Offerings

15.8.3. Financial Performance

15.8.4. Recent Initiatives

15.9. Planet Labs

15.9.1. Company Overview

15.9.2. Product Offerings

15.9.3. Financial Performance

15.9.4. Recent Initiatives

15.10. Safe Software

15.10.1. Company Overview

15.10.2. Product Offerings

15.10.3. Financial Performance

15.10.4. Recent Initiatives

Chapter 16. Research Methodology

16.1. Primary Research

16.2. Secondary Research

16.3. Assumptions

Chapter 17. Appendix

17.1. About Us

17.2. Glossary of Terms

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Frequently Asked Questions

The geospatial analytics artificial intelligence market size is expected to increase from USD 47.8 billion in 2024 to USD 472.62 billion by 2034.

The geospatial analytics artificial intelligence market is expected to grow at a compound annual growth rate (CAGR) of around 25.75% from 2025 to 2034.

The major players in the geospatial analytics artificial intelligence market include Airbus Defence and Space, Astraea Inc., AWS (Amazon Web Services), Capella Space, Descartes Labs, Esri, GE Digital, GeoIQ, Google (Alphabet Inc.), Hexagon AB, IBM Corporation, Mapillary (Meta Platforms), Maxar Technologies, Microsoft Corporation, NVIDIA Corporation, Orbital Insight, Planet Labs, Safe Software, SparkCognition, and Trimble Inc.

The driving factors of the geospatial analytics artificial intelligence market are the demand for AI-driven geospatial tools is fuelling data-informed crop management, soil monitoring, and yield forecasting.

North America region will lead the global geospatial analytics artificial intelligence market during the forecast period 2025 to 2034.