세계의 지리공간 인공지능(AI) 시장(2021-2030년)

The global geospatial artificial intelligence market is expected to grow at a CAGR of 9.25% from 2024 to 2030.

GEOSPATIAL AI MARKET TRENDS & DRIVERS

Government Investment in Smart Cities and National Security Projects

Governments worldwide are increasingly investing in smart city projects and national security initiatives, harnessing the power of geospatial artificial intelligence (GeoAI) to enhance infrastructure, public services, and security systems. GeoAI integrates satellite imagery, AI-driven mapping, and real-time spatial data analysis to provide actionable insights for urban planning and homeland security. In smart city development, the geospatial artificial intelligence market plays a pivotal role in creating efficient, sustainable, and interconnected urban environments. For instance, in Sydney, Australia, local councils employ AI technology to detect and address road defects like potholes before they cause damage. By mounting smartphones equipped with AI software on garbage trucks, the system scans and records road imperfections, leading to the rectification of over 10,000 issues within three months. This proactive approach not only enhances road safety but also optimizes maintenance resources.

In 2024, Poland started a huge security project called East Shield. It's focused on building strong defenses along the borders with Belarus and Kaliningrad (a part of Russia). This includes advanced cameras and AI-powered surveillance systems to detect threats. The government plans to spend over 10 billion Polish zloty (more than USD 2.5 billion) over the next four years. Furthermore, by the end of 2024, India had completed 91% of its Smart Cities Mission projects. The government has spent around ₹1.47 lakh crore (over USD 17 billion) to make Indian cities more efficient and modern using technology like real-time monitoring, smart traffic lights, and waste management systems.

Singapore updated its National AI Strategy in late 2023 and by 2024 had launched over 100 new AI tools. These include virtual teaching assistants and helpful chatbots in community centers. The aim is to improve both education and public services using smart technologies. These real-world projects show how GeoAI is becoming a powerful tool across different countries. Whether it's fixing roads, improving transport, planning cities, or protecting borders, the smart use of AI and mapping tools is helping cities run better & making communities safer, and supporting the geospatial artificial intelligence market growth.

Growth of AI-Powered Remote Sensing in Environmental Monitoring

As the world faces growing challenges like climate change, pollution, and deforestation, countries are turning to advanced technologies like GeoAI - a combination of smart artificial intelligence and satellite or drone-based mapping - to keep a close watch on the environment. This smart tech helps governments, researchers, and companies get real-time information about what's happening in nature, so they can act faster and smarter. In North America, NASA in the U.S. partnered with Planet Labs and Google Earth Engine to use AI for tracking harmful gases like carbon and methane, helping create better climate policies. In Europe, the European Space Agency used AI with its Copernicus satellites to monitor forest changes and illegal tree cutting, especially in the Amazon and across Europe. In Asia-Pacific, India's space agency (NRSC) is using AI to predict droughts and water shortages, helping local authorities plan water use in advance. In Latin America, countries like Brazil are using satellite images and AI to detect illegal deforestation in the Amazon, with faster alerts for quicker action. In Africa, places like Kenya and Ethiopia are using drones and AI to monitor desert growth and crops, supported by the United Nations. Even private companies are helping-IBM updated its Environmental Intelligence tools in 2024 to help businesses understand climate risks, and Microsoft's "AI for Earth" project has supported over 100 environmental projects that track wildlife, pollution, and nature health.

Overall, the geospatial artificial intelligence market is becoming a powerful tool to protect the planet by helping governments and companies act quickly and wisely, making our world a safer and greener place for the future. Across the globe, countries and companies are now using smart satellite and drone technology powered by AI to watch over the planet. From spotting forest fires early to predicting droughts and tracking pollution, GeoAI is helping us protect nature and fight climate change in smarter and faster ways.

GEO AI SEGMENTATION INSIGHTS

INSIGHTS BY DEPLOYMENT MODE

Cloud-based deployment has become the dominant model in the global geospatial artificial intelligence market, offering unparalleled scalability, flexibility, and accessibility for processing vast geospatial datasets. These platforms help companies manage and analyze large location-based datasets more easily. Instead of buying and running powerful computers themselves, organizations can now use the cloud to access the storage and speed they need. A good example is Intel Geospatial, which worked with Amazon Web Services (AWS) to create a cloud-based system. This system uses AI to study data from satellites, drones, and ground sensors. It helps companies in areas like oil and gas or utilities find damaged equipment and environmental problems faster. This saves time and makes operations safer.

Another example is the partnership between Microsoft and Esri. They built a virtual machine called GeoAI Data Science VM on Microsoft's cloud platform, Azure. It combines Esri's mapping software (ArcGIS Pro) with Microsoft's AI tools. Users can do many tasks, like studying land types from satellite images or building complex maps, quickly and with better teamwork, all in the cloud. In summary, cloud-based GeoAI tools are becoming essential. They offer strong computing power, easy access, and lower costs, which help companies in many industries work more efficiently and develop better solutions.

Segmentation by Deployment Mode

• Cloud-based
• On-premises

INSIGHTS BY DATA MODEL

In the global geospatial artificial intelligence market, vector data models have emerged as a dominant force, primarily due to their ability to represent real-world features with precision and clarity. Vector data utilizes points, lines, and polygons to depict various geographic elements, making it particularly effective for applications requiring detailed spatial analysis. For instance, Niantic, the company behind Pokemon Go, has leveraged vector data to create intricate geospatial models of the Earth. By collecting location data from millions of players, Niantic has developed comprehensive 3D maps that enhance the gaming experience and serve as foundational tools for various location-based services. This capability to accurately model and analyze spatial relationships has solidified vector data's prominence in the geospatial artificial intelligence market, enabling more informed decision-making across sectors such as urban planning, navigation, and environmental management.

Segmentation by Data Model

• Vector Data
• Raster Data
• Others

INSIGHTS BY COMPONENT

The global geospatial artificial intelligence market by component is segmented into software, hardware, and services. In the geospatial artificial intelligence (GeoAI) market, software components have emerged as the dominant segment, driven by the escalating demand for advanced geospatial analytics across various industries. These software solutions enable organizations to efficiently process and interpret complex spatial data, facilitating applications such as mapping, predictive analytics, and real-time data visualization.

For example, Esri's ArcGIS platform integrates AI capabilities to provide comprehensive geospatial analysis tools, aiding sectors like urban planning and environmental management in making informed decisions. Similarly, Google's Earth Engine leverages AI to analyze large-scale geospatial datasets, supporting applications in agriculture, forestry, and disaster response. These platforms exemplify how AI-enhanced geospatial software is pivotal in transforming data into actionable insights.

The increasing integration of AI, machine learning, and big data analytics within geospatial software further amplifies its functionalities, enabling businesses to extract valuable information from intricate datasets. This trend underscores the critical role of software in advancing the capabilities and applications of the geospatial artificial intelligence market across diverse sectors.

Segmentation by Component

• Software
• Hardware
• Services

INSIGHTS BY TECHNOLOGY

In the geospatial artificial intelligence market, Machine Learning (ML) has emerged as the dominant technology, revolutionizing how geospatial data is analyzed and utilized. ML-powered algorithms enhance pattern recognition, automate spatial analysis, and improve predictive modeling, making it a crucial tool across industries like urban planning, agriculture, disaster management, and defense.

For example, NASA uses machine learning models to analyze satellite imagery and predict climate patterns, enabling better disaster preparedness. In agriculture, companies like John Deere employ ML-driven geospatial AI to optimize crop health monitoring and yield prediction. Similarly, Google AI integrates ML in Google Earth Engine, allowing environmental researchers to track deforestation and urban expansion with high precision. The ability of ML to process massive geospatial datasets quickly and accurately makes it essential for applications such as real-time flood forecasting, wildfire spread prediction, and automated land use classification. As organizations continue to adopt ML-driven GeoAI solutions, the technology's role in transforming geospatial analytics will only strengthen in the coming years.

Segmentation by Technology

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

INSIGHTS BY END USERS

The global geospatial artificial intelligence market by end-users is segmented into enterprise and individual. The enterprise sector dominates the market due to its widespread adoption of AI-driven geospatial analytics for decision-making, operational efficiency, and strategic planning. Businesses across industries such as retail, logistics, real estate, agriculture, and finance leverage GeoAI to gain valuable location-based insights and enhance productivity.

For example, Amazon and Walmart use GeoAI-powered supply chain optimization to track shipments, predict demand, and improve warehouse placement. In real estate, companies like Zillow analyze geospatial data to determine property values, market trends, and risk factors such as flooding or urban expansion. Similarly, financial institutions integrate GeoAI for risk assessment, using satellite imagery and AI-driven analytics to monitor economic activities, infrastructure projects, and climate risks affecting investments.

Enterprises benefit from the geospatial artificial intelligence market to process massive datasets in real-time, improving everything from market expansion strategies to environmental compliance. With businesses prioritizing data-driven decisions, the demand for GeoAI solutions in enterprises is expected to keep growing, further solidifying its dominance in the market.

Segmentation by End Users

• Enterprise
• Individual

INSIGHTS BY ENTERPRISE

In the enterprise geospatial artificial intelligence market, the government & public sector is the dominant segment due to the increasing adoption of AI-driven geospatial analytics for urban planning, defense, environmental monitoring, and disaster management. Governments worldwide use GeoAI to improve decision-making, optimize public services, and enhance national security.

For example, the United States Geological Survey (USGS) leverages GeoAI to monitor land use changes, track deforestation, and assess climate risks. Similarly, the European Space Agency (ESA) uses AI-integrated satellite data for disaster resilience, mapping flood-prone areas and wildfire risks in real time. In defense, the Pentagon and NATO rely on GeoAI for surveillance, border security, and threat detection, using AI-enhanced satellite imagery and drone data to monitor geopolitical developments.

In smart city initiatives, governments like Saudi Arabia's NEOM project and India's Smart Cities Mission integrate GeoAI for traffic management, infrastructure planning, and energy efficiency. Public agencies also use GeoAI for agriculture monitoring, as seen in Brazil's National Institute for Space Research (INPE), which applies AI-powered satellite data to track illegal deforestation in the Amazon. With governments prioritizing climate resilience, infrastructure modernization, and national security, the geospatial artificial intelligence market demand in the public sector continues to grow, solidifying its dominance in the market.

Segmentation by Enterprise

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

GEOSPATIAL ARTIFICIAL INTELLIGENCE MARKET GEOGRAPHICAL ANALYSIS

In 2024, North America dominated the global geospatial artificial intelligence market, accounting for a share of over 31%. In North America, the United States and Canada are leading in GeoAI adoption, primarily due to strong investments in defense, smart cities, and disaster management. The U.S. Department of Defense uses AI-powered satellite imagery for border security and military intelligence, while agencies like FEMA (Federal Emergency Management Agency) utilize GeoAI to predict and manage natural disasters like hurricanes and wildfires. In Canada, the Smart Cities Challenge has encouraged local governments to integrate AI-driven geospatial analysis for traffic optimization, energy management, and urban planning.

In Europe's geospatial artificial intelligence market, countries like Germany, the UK, and France are leveraging GeoAI for environmental monitoring and climate resilience. The European Space Agency (ESA) has launched AI-integrated satellite programs to track deforestation, air pollution, and water resource management. The UK government also invests in AI-powered geospatial tools for railway optimization and flood mapping to improve national infrastructure planning. Furthermore, Asia-Pacific is experiencing significant growth in the geospatial artificial intelligence market, led by China, India, and Japan. China's Belt and Road Initiative (BRI) uses GeoAI to analyze terrain, optimize construction sites, and improve logistics for large-scale infrastructure projects. India's National Geospatial Policy 2022 has encouraged industries to adopt AI-driven mapping solutions for agriculture, smart city development, and disaster response. Japan integrates GeoAI in earthquake prediction systems, leveraging AI-powered sensors to analyze seismic activities and improve disaster preparedness.

In the Middle East & Africa geospatial artificial intelligence market, Saudi Arabia and the UAE are investing heavily in GeoAI for smart city initiatives and national security. Saudi Arabia's NEOM project, a futuristic smart city, is using AI-driven geospatial analytics for traffic control, energy distribution, and environmental sustainability. The UAE has integrated GeoAI in drone-based surveillance systems for border security and infrastructure monitoring. In Africa, countries like South Africa and Kenya are using GeoAI for agriculture mapping, wildlife conservation, and flood prediction to improve resource management and disaster response.

Furthermore, the Latin American geospatial artificial intelligence market is also witnessing steady growth, with Brazil and Mexico leveraging GeoAI for deforestation tracking, urban expansion analysis, and climate monitoring. Brazil's INPE (National Institute for Space Research) uses AI-powered satellite imagery to combat illegal logging in the Amazon rainforest.

As governments and enterprises across the world increasingly adopt AI-powered geospatial intelligence, the GeoAI market is set to grow, playing a crucial role in urban development, environmental protection, and security enhancements across all major regions.

• 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
  • UAE
  • South Africa

GEOSPATIAL AI MARKET VENDOR ANALYSIS

The global geospatial artificial intelligence market is highly competitive, with many companies developing advanced AI-powered geospatial solutions to meet the growing demand for smart infrastructure, disaster management, defense, and environmental monitoring. The geospatial AI market includes a mix of large technology companies, satellite imaging firms, AI startups, and government-backed research organizations, all striving to innovate and expand their market presence.

Key players in the global geospatial artificial intelligence market include companies like Esri, Google, Microsoft, Maxar Technologies, Orbital Insight, and Airbus. These companies are investing in AI-driven satellite imaging, geospatial analytics platforms, and real-time data processing technologies to improve accuracy and efficiency in geospatial intelligence. For example, Esri, a leading geographic information system (GIS) provider, integrates AI and machine learning into its ArcGIS platform to help businesses and governments analyze satellite imagery, optimize transportation networks, and manage environmental risks. Google Earth Engine is another powerful GeoAI tool in the geospatial artificial intelligence market that enables real-time environmental monitoring by analyzing vast amounts of satellite and remote sensing data.

Maxar Technologies specializes in high-resolution satellite imaging and uses AI algorithms to detect changes in land use, track deforestation, and monitor infrastructure projects. Airbus has also developed AI-powered Earth observation services to assist governments and businesses in climate monitoring and defense applications. Furthermore, startups like Orbital Insight and SpaceKnow are revolutionizing the geospatial AI market with AI-based predictive analytics. These companies use machine learning to analyze geospatial data from satellites and drones, providing insights for industries like finance, real estate, and agriculture. For instance, Orbital Insight's AI models can estimate crop yields, monitor oil storage facilities, and track urban development trends based on satellite imagery.

Governments and defense agencies also play a significant role in shaping the geospatial artificial intelligence market landscape. Agencies such as NASA, the European Space Agency (ESA), and the Indian Space Research Organisation (ISRO) are actively investing in GeoAI-powered disaster response, climate change monitoring, and national security applications. In the U.S., the Department of Defense (DoD) uses AI-powered geospatial analysis for border security, military planning, and surveillance.

To maintain a competitive edge, companies in the GeoAI market are increasingly focusing on partnerships, acquisitions, and AI-driven innovations. For example, in 2024, Microsoft partnered with Planet Labs to integrate GeoAI into its Azure cloud services, offering businesses and government agencies better access to geospatial intelligence tools. Similarly, Amazon Web Services (AWS) has been expanding its GeoAI capabilities by collaborating with satellite data providers to offer real-time geospatial analytics for enterprises. Furthermore, as demand for AI-driven geospatial intelligence continues to grow, competition in the geospatial artificial intelligence market is expected to intensify. Companies that invest in advanced AI models, real-time analytics, and cloud-based geospatial services will likely dominate the market, driving innovation and shaping the future of the GeoAI industry.

Key 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.

Other Prominent Company Profiles

• 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

KEY QUESTIONS ANSWERED:

1. How big is the global geospatial artificial intelligence market?

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

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

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

5. Which region dominates the global geospatial artificial intelligence market share?

TABLE OF CONTENTS

1. SCOPE & COVERAGE

• 1.1. MARKET DERIVATION
• 1.2. MARKET DEFINITION
• 1.3. SEGMENT COVERAGE & DEFINITION

2. PREMIUM INSIGHTS

• 2.1. OPPORTUNITY POCKET
• 2.2. KEY MARKET HIGHLIGHTS
• 2.3. REGIONAL INSIGHTS

3. MARKET DYNAMICS

• 3.1. OPPORTUNITY & TRENDS
• 3.2. MARKET ENABLERS
• 3.3. MARKET RESTRAINTS
• 3.4. INTRODUCTION
• 3.5. MARKET LANDSCAPE

4. MARKET SEGMENTATION

• 4.1. DEPLOYMENT MODE
• 4.2. DATA MODEL
• 4.3. COMPONENT
• 4.4. TECHNOLOGY
• 4.5. END USER

5. GEOGRAPHICAL SEGMENTATION

• 5.1. ASIA PACIFIC (APAC)
• 5.2. NORTH AMERICA
• 5.3. EUROPE
• 5.4. LATIN AMERICA
• 5.5. MIDDLE EAST & AFRICA

6. COMPETITIVE LANDSCAPE

• 6.1. COMPETITIVE SCENARIO
• 6.2. MARKET SHARE ANALYSIS
• 6.3. KEY COMPANY PROFILES
• 6.4. OTHER PROMINENT COMPANY PROFILE