Geospatial Artificial Intelligence Market Revenue is Expected to Double – Reaching $64.6 Billion by 2030 - Arizton

According to Arizton’s latest research report, the geospatial artificial intelligence market is growing at a CAGR of 9.25% during 2024-2030.           

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Report Scope:         

Market Size (2030): USD 64.60 Billion     

Market Size (2024): USD 38 Billion    

CAGR (2024-2030): 9.25%    

Historic Year: 2021-2023     

Base Year: 2024     

Forecast Year: 2025-2030    

Rapid Growth of the Geospatial AI (GeoAI) Market 

The Geospatial AI (GeoAI) market is expanding rapidly, fueled by technological advancements, environmental challenges, and shifting consumer demands. GeoAI integrates AI technologies like machine learning with geographic data from satellites and maps to provide real-time insights for better decision-making. In 2024, the USGS collaborated with Esri and NASA to launch GeoAI tools for tracking wildfires and land changes, encouraging further public and private investment. 

Industry leaders such as Hexagon AB and Airbus have developed sector-specific GeoAI tools, including mining dashboards and real-time deforestation monitors. Esri enhanced its ArcGIS Urban tool with AI features to help urban planners simulate city development. Businesses are also leveraging GeoAI—Orbital Insight helped a U.S. retailer boost store performance by 22% through foot traffic analysis. 

GeoAI's growing applications in emergency response, urban planning, retail, and environmental monitoring are driving its importance across industries. With ongoing innovation and rising adoption, the market is set for strong growth in 2025 and beyond.  

Cloud-Based Deployment Gaining Momentum in the GeoAI Market 

Cloud-based deployment is rapidly gaining traction in the Geospatial AI (GeoAI) market due to its scalability, lower upfront costs, and global accessibility. These solutions allow users to process and analyze vast amounts of spatial data without the need for extensive on-premises infrastructure. Leveraging distributed computing, cloud platforms support real-time analytics, satellite image processing, and predictive modeling, making them ideal for applications in government, urban planning, environmental monitoring, logistics, defense, and agriculture. 

The integration of machine learning and deep learning algorithms enhances capabilities such as object detection, land classification, and disaster response. As satellite and IoT data availability increases, cloud-native AI tools offer greater flexibility, speed, and cost efficiency. Additionally, cloud deployment fosters seamless collaboration across teams and geographies—critical for large-scale geospatial projects—further cementing its role as a preferred choice for modern GeoAI applications. 

Competitive Landscape and Future Outlook of the GeoAI Market 

The GeoAI market is moderately concentrated, with increasing competition among global tech giants, regional players, and startups. Demand from sectors such as urban planning, defense, and agriculture is driving innovation in AI-powered spatial tools. Leaders like Esri, Google, and Trimble leverage advanced analytics and global reach, while regional vendors focus on specialized solutions and strong support to stay competitive. 

Although AI advancements and open-source data have lowered entry barriers, they also risk market fragmentation. An influx of startups—some lacking in domain expertise or data validation—could lead to unreliable models, particularly in critical fields like disaster response or defense, impacting user trust. 

Looking ahead, the market is moving toward next-gen technologies such as edge computing, AI-enhanced satellite sensing, and cloud-native platforms. Companies are prioritizing scalable, real-time, and automated geospatial solutions, with Esri and Google making efforts to build intelligent, integrated GeoAI ecosystems. 

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GeoAI Market Companies 

• Esri 
• Hexagon AB 
• Maxar Technologies 
• Google LLC (Alphabet Inc.) 
• Microsoft Corporation 
• IBM 
• Trimble Inc. 
• Autodesk, Inc. 
• Bentley Systems, Incorporated 
• Amazon Web Services, Inc. (AWS) 
• Airbus 
• Planet Labs PBC 
• Orbital Insight, Inc. 
• Descartes Labs, Inc. 
• Satellogic Inc. 
• Palantir Technologies Inc. 
• Blue Sky Analytics 
• Sparkgeo 
• GeoIQ 
• 1Spatial 
• Agronomeye 
• AiDash 
• Alcis Holdings Ltd. 
• Anditi 
• ASTERRA 
• Atlas AI P.B.C. 
• Mapbox, Inc. 
• TomTom 
• HERE Technologies 
• CARTO 
• L3Harris Technologies, Inc. 
• TerraGo  
• Blue Marble Geographics 
• Northrop Grumman Corporation  

Market Segmentation  

Deployment Mode 

• Cloud-based 
• On-premises 

Data Model 

• Vector Data 
• Raster Data 
• Others 

Component 

• Software 
• Hardware 
• Services 

Technology 

• Machine Learning 
• Computer Vision 
• Big Data Analytics 
• Deep Learning (DL) 
• Natural Language Processing (NLP) 
• Others 

End Users 

• Enterprise 
• Individual 

Enterprise 

• Government & Public Sector 
• Agriculture & Forestry 
• Energy & Utilities 
• Transportation & Logistics 
• Defense & Security 
• Others 

Geography 

North America 

• The U.S. 
• Canada 

Europe 

• The U.K. 
• Germany 
• France 
• Russia 
• Spain 
• Italy 
• Denmark 
• Norway 
• Poland 

APAC 

• China 
• India 
• Japan 
• South Korea 
• Australia 
• Singapore 
• Malaysia 

Latin America 

• Brazil 
• Mexico 
• Argentina 

Middle East & Africa 

• Saudi Arabia 
• The UAE 
• South Africa  

The Arizton Advisory & Intelligence market research report provides valuable market insights for industry stakeholders, investors, researchers, consultants, and business strategists aiming to understand the geospatial artificial intelligence market thoroughly. Request for Free Sample to get a glance at the report now: https://www.arizton.com/market-reports/geospatial-artificial-intelligence-market         

What Key Findings Will Our Research Analysis Reveal?       

How big is the global geospatial artificial intelligence market? 

What is the growth rate of the global geospatial artificial intelligence market? 

Who are the key players in the global geospatial artificial intelligence market? 

What are the significant trends in the geospatial artificial intelligence market? 

Which region dominates the global geospatial artificial intelligence market share?             

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