지리공간 인텔리전스(GeoAI) 시장 예측(-2030년) : 지리공간 AI, 지리공간 애널리틱스, 취득 시스템, 기술

The geospatial intelligence (GeoAI) market is projected to grow from USD 37.13 billion in 2025 to USD 62.88 billion by 2030, at a CAGR of 11.1% during the forecast period. Market growth is driven by the increasing use of artificial intelligence and machine learning to analyze complex geospatial datasets generated from satellites, drones, sensors, and connected devices.

Organizations across defense, infrastructure, healthcare, and environmental monitoring are adopting geospatial intelligence solutions to enhance decision-making, risk assessment, and operational efficiency. Advancements in cloud computing, data fusion, and real-time analytics are improving the scalability and accessibility of geospatial intelligence platforms. In parallel, growing investments in smart infrastructure, public safety, and climate resilience initiatives are further strengthening demand for advanced GeoAI capabilities.

"Sensing and capture segment, by offering, is projected to grow at the highest CAGR during the forecast period."

Sensing and capture represent the fastest-growing segment within geospatial acquisition systems in the geospatial intelligence (GeoAI) market. This segment includes satellites, aerial platforms, drones, LiDAR systems, and ground-based sensors used to collect geospatial data. Growth is driven by the expanding deployment of earth observation satellites, the increased use of unmanned aerial systems, and the demand for high-frequency data collection. These acquisition systems provide the foundational data required for downstream geospatial intelligence and analytics. Continuous improvements in sensor resolution, coverage, and cost efficiency are driving the acceleration of adoption across various use cases, including defense, infrastructure monitoring, environmental assessment, and disaster response.

"Imagery data segment is expected to hold the largest share of the geospatial intelligence (GeoAI) market."

Imagery data represents the largest data type segment in the geospatial intelligence (GeoAI) market. Satellite and aerial imagery are widely used for surveillance, mapping, change detection, and asset monitoring applications. High-resolution imagery supports AI-driven feature extraction, object recognition, and predictive spatial analysis across multiple sectors. Continuous improvements in image resolution, revisit rates, and analytics capabilities are enhancing the value of imagery-based intelligence. Strong adoption across defense, urban planning, environmental monitoring, and commercial applications sustains the dominant position of the imagery data segment.

"North America to lead the geospatial intelligence (GeoAI) market, while Asia Pacific emerges as the fastest-growing region."

North America is expected to hold the largest share of the geospatial intelligence (GeoAI) market during the forecast period. The region benefits from strong adoption across defense, public safety, infrastructure, and healthcare applications, supported by sustained government spending and a mature geospatial technology ecosystem. Widespread use of satellite imagery, geospatial analytics, and AI-enabled intelligence platforms across federal agencies and enterprises drives market leadership. The presence of major geospatial technology providers and cloud service platforms further accelerates deployment.

Asia Pacific is projected to register the highest growth rate in the geospatial intelligence (GeoAI) market. Rapid urbanization, increasing investments in smart city initiatives, and the expansion of earth observation programs across countries such as China, India, and Southeast Asian nations are driving the adoption. Governments in the region are leveraging geospatial intelligence for infrastructure development, environmental monitoring, and disaster management. The growing availability of satellite data and improving analytics capabilities position the Asia Pacific as a key growth region over the forecast period.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the geospatial intelligence (GeoAI) market.

• By Company: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
• By Designation: C-level Executives - 35%, D-level Executives - 25%, and Others - 40%
• By Region: North America - 40%, Europe - 25%, Asia Pacific - 20%, Middle East & Africa - 10%, and Latin America - 5%

The report includes the study of key players offering geospatial intelligence solutions and services. It profiles major vendors in the geospatial intelligence (GeoAI) market. The major players in the s market include Google (US), IBM (US), Alteryx (US), ESRI (US), Hexagon AB (Sweden), TomTom (Netherlands), Trimble (US), Ouster (US), Vantor (US), Lanteris Space Systems (US), Precisely (US), Caliper Corporation (US), RMSI (India), MapLarge (US), General Electric (US), Airbus (France), Fugro (Netherlands), Planet Labs (US), Microsoft (US), CGI (Canada), Teledyne Technologies (Canada), Bentley Systems (US), Here Technologies (US), NVS Geospatial (US), AWS (US), SBL (India), BAE Systems (UK), ECS (US), Vexcel Imaging (Austria), Mapbox (US), EOS Data Analytics (US), Magnasoft (India), EarthDaily Analytics (Canada), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Mapular (New Zealand), Carto (US), Blue Sky Analytics (Netherlands), Latitudo40 (Italy), Ecopia AI (Canada), Spatial AI (US), Dista (US), Capella Space (US), Whereobots (US), Geowgs84.ai (US), and Europa Technologies (UK).

Research coverage

This research report covers the geospatial intelligence (GeoAI) market and is segmented by offering, core technology architecture, data type, and vertical. The offering segment comprises software, geospatial acquisition systems, and services. The software segment contains GeoAI & ML platforms (agentic GIS & AI copilot, GeoAI cloud-native platform, GeoAI model catalogs, and others), geospatial analytics (traditional GIS solutions [desktop GIS, web/enterprise GIS, spatial databases, 3D/4D mapping tools), location intelligence (spatial query & indexing engines, geospatial visualization engines, location enrichment tools, and spatial apis & microservices), and data processing & ETL (geocoding engines, spatial data integration tools, raster/vector/crs data conversion). The geospatial acquisition systems segment is divided into sensing & capture (satellite imaging sensors, aerial cameras, and LIDAR/3D scanners) and positioning & tracking (GNSS receivers [RTK/PPP], inertial measurement units [IMU], and PNT [position, navigation, and timing] systems). The services segment comprises core services (consulting, deployment & integration, custom app development, training & enablement, and data integration services) and managed services. The core technology architecture segment covers vector & GIS analytics (geometric analysis, spatial statistics, network analysis), raster & imagery analytics (satellite/aerial image processing, computer vision, spectral analysis), streaming & real-time analytics (live data processing, event detection, dynamic optimization) and geovisualization (dashboard & reporting, thematic mapping, 3D/AR/VR overlays). The data type segment covers Imagery Data (satellite imagery, aerial/UAV imagery, hyperspectral data, SAR data), non-imagery data (vector data, 3D spatial data, crowd-sourced data, LiDAR data), and geotemporal & fusion (sensor/IoT data, social media geotagged data, mobile device location data). the application segment covers asset monitoring & management, risk assessment & modeling, precision agriculture, disaster management & response, urban planning & digital twins, surveillance & security, supply-chain & route optimization, and environmental & climate monitoring. The vertical segment is split into energy & utilities, government & defense, telecommunications, insurance & financial services, real estate & construction, automotive & transportation, healthcare & life sciences, mining, agriculture, and other verticals (including retail & e-commerce, media & entertainment, education, and tourism). The regional analysis of the geospatial intelligence (GeoAI) market covers North America, Europe, Asia Pacific, the Middle East & Africa (MEA), and Latin America.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall geospatial intelligence (GeoAI) market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their business and plan suitable go-to-market strategies. It 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 (compression of decision timelines across security, infrastructure, and commercial operations, proliferation of persistent earth observation and location-aware data sources, expansion of geospatial intelligence beyond defense into civilian and commercial decision-making, rising importance of spatial context for predictive and anticipatory intelligence), restraints (managing regulatory constraints and cross-border data controls, infrastructure and network constraints limiting real-time geospatial intelligence adoption), opportunities (unlocking new value with geo foundation models and transfer learning pipelines, scaling enterprise trust through data fusion and provenance services, delivering verticalized, compliance-aligned geospatial intelligence platforms, monetizing predictive geospatial intelligence through operational integration), and challenges (maintaining high-quality labels and validation at operational scale, enabling secure multi-party geospatial collaboration and federated analytics)
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the geospatial intelligence (GeoAI) market
• Market Development: Comprehensive information about lucrative markets; the report analyzes the geospatial intelligence (GeoAI) market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the geospatial intelligence (GeoAI) market
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Google (US), IBM (US), Alteryx (US), ESRI (US), Hexagon AB (Sweden), TomTom (Netherlands), Trimble (US), Ouster (US), Vantor (US), Lanteris Space Systems (US), Precisely (US), Caliper Corporation (US), RMSI (India), MapLarge (US), General Electric (US), Airbus (France), Fugro (Netherlands), Planet Labs (US), Microsoft (US), CGI (Canada), Teledyne Technologies (Canada), Bentley Systems (US), Here Technologies (US), NVS Geospatial (US), AWS (US), SBL (India), BAE Systems (UK), ECS (US), Vexcel Imaging (Austria), Mapbox (US), EOS Data Analytics (US), Magnasoft (India), EarthDaily Analytics (Canada), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Mapular (New Zealand), Carto (US), Blue Sky Analytics (Netherlands), Latitudo40 (Italy), Ecopia AI (Canada), Spatial AI (US), Dista (US), Capella Space (US), Wherobots (US), Geowgs84.ai (US), and Europa Technologies (UK) among others in the geospatial intelligence (GeoAI) market. The report also helps stakeholders understand the pulse of the Geospatial Intelligence (GeoAI) market, providing them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 STUDY YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET
• 2.4 HIGH-GROWTH SEGMENTS
• 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET
• 3.2 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: TOP THREE APPLICATIONS
• 3.3 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING AND END USER
• 3.4 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Compression of decision timelines across security, infrastructure, and commercial operations
    • 4.2.1.2 Proliferation of persistent Earth observation and location-aware data sources
    • 4.2.1.3 Expansion of geospatial intelligence beyond defense into civilian and commercial decision-making
    • 4.2.1.4 Rising importance of spatial context for predictive and anticipatory intelligence
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 Managing regulatory constraints and cross-border data controls
    • 4.2.2.2 Infrastructure and network constraints limiting real-time geospatial intelligence adoption
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Unlocking new value with geo foundation models and transfer learning pipelines
    • 4.2.3.2 Scaling enterprise trust through data fusion and provenance services
    • 4.2.3.3 Delivering verticalized, compliance-aligned geospatial intelligence platforms
    • 4.2.3.4 Monetizing predictive geospatial intelligence through operational integration
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Maintaining high-quality labels and validation at operational scale
    • 4.2.4.2 Enabling secure multi-party geospatial collaboration and federated analytics
• 4.3 UNMET NEEDS AND WHITE SPACES
  • 4.3.1 UNMET NEEDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET
  • 4.3.2 WHITE SPACE OPPORTUNITIES
• 4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
  • 4.4.1 INTERCONNECTED MARKETS
  • 4.4.2 CROSS-SECTOR OPPORTUNITIES
• 4.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
  • 4.5.1 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS

5 INDUSTRY TRENDS

• 5.1 EVOLUTION OF GEOSPATIAL INTELLIGENCE (GEOAI)
• 5.2 PORTER'S FIVE FORCES ANALYSIS
  • 5.2.1 THREAT OF NEW ENTRANTS
  • 5.2.2 THREAT OF SUBSTITUTES
  • 5.2.3 BARGAINING POWER OF SUPPLIERS
  • 5.2.4 BARGAINING POWER OF BUYERS
  • 5.2.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.3 MACROECONOMIC OUTLOOK
  • 5.3.1 INTRODUCTION
  • 5.3.2 GDP TRENDS AND FORECAST
  • 5.3.3 TRENDS IN GLOBAL BIG DATA AND ANALYTICS INDUSTRY
  • 5.3.4 TRENDS IN GLOBAL CYBERSECURITY INDUSTRY
• 5.4 SUPPLY CHAIN ANALYSIS
• 5.5 ECOSYSTEM ANALYSIS
  • 5.5.1 GEOSPATIAL ACQUISITION SYSTEM PROVIDERS
    • 5.5.1.1 Sensing & capture providers
    • 5.5.1.2 Positioning & tracking providers
  • 5.5.2 SOFTWARE PROVIDERS
    • 5.5.2.1 Location intelligence providers
    • 5.5.2.2 Traditional GIS providers
    • 5.5.2.3 Data processing & ETL providers
    • 5.5.2.4 GeoAI & ML platform providers
  • 5.5.3 SERVICE PROVIDERS
    • 5.5.3.1 Core services
      • 5.5.3.1.1 Consulting services
      • 5.5.3.1.2 Data integration services
    • 5.5.3.2 Managed services
• 5.6 PRICING ANALYSIS
  • 5.6.1 AVERAGE SELLING PRICE OF OFFERINGS (GEOSPATIAL ACQUISITION SYSTEMS), BY KEY PLAYER, 2025
  • 5.6.2 AVERAGE SELLING PRICE OF SOFTWARE AND SERVICES, 2025
• 5.7 TRADE ANALYSIS
  • 5.7.1 IMPORT SCENARIO (HS CODE 9015)
  • 5.7.2 EXPORT SCENARIO (HS CODE 9015)
• 5.8 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.10 INVESTMENT AND FUNDING SCENARIO
• 5.11 CASE STUDY ANALYSIS
  • 5.11.1 CGI AND BELL CANADA TRANSFORM NETWORK WITH ENTERPRISE GEOSPATIAL PLATFORM
  • 5.11.2 WHEROBOTS AND AARDEN.AI OVERCOME SCALING CHALLENGES WITH UNIFIED GEOSPATIAL PLATFORM
  • 5.11.3 SOUTH KOREA AND NV5 INTEGRATE REMOTE SENSING TO IMPROVE FOREST GHG REPORTING
  • 5.11.4 SYMAPS AND MAPBOX ENHANCE LOCATION INTELLIGENCE WITH GLOBAL MOVEMENT DATA
  • 5.11.5 BAJAJ FINSERV IMPLEMENTS ESRI'S GEOSPATIAL PLATFORM SOLUTION TO IMPROVE CUSTOMER SERVICE
• 5.12 IMPACT OF 2025 US TARIFF - GEOSPATIAL INTELLIGENCE (GEOAI) MARKET
  • 5.12.1 INTRODUCTION
    • 5.12.1.1 Tariff/trade policy updates (August-December 2025)
  • 5.12.2 KEY TARIFF RATES
  • 5.12.3 PRICE IMPACT ANALYSIS
    • 5.12.3.1 Strategic shifts and emerging trends
  • 5.12.4 IMPACT ON COUNTRIES/REGIONS
    • 5.12.4.1 US
    • 5.12.4.2 China
    • 5.12.4.3 Europe
    • 5.12.4.4 Asia Pacific (excluding China)
  • 5.12.5 IMPACT ON END-USE INDUSTRIES
    • 5.12.5.1 Energy & utilities
    • 5.12.5.2 Government & defense
    • 5.12.5.3 Telecommunications
    • 5.12.5.4 Insurance & financial services
    • 5.12.5.5 Real estate & construction
    • 5.12.5.6 Automotive & transportation
    • 5.12.5.7 Healthcare & life sciences
    • 5.12.5.8 Mining
    • 5.12.5.9 Agriculture
    • 5.12.5.10 Other verticals (retail & e-commerce, media & entertainment, education, tourism)

6 STRATEGIC DISRUPTION: PATENTS, DIGITAL, AND AI ADOPTIONS

• 6.1 KEY EMERGING TECHNOLOGIES
  • 6.1.1 ADVANCED AI/ML TECHNIQUES
  • 6.1.2 REMOTE SENSING, EO, & MULTI-SENSOR DATA FUSION
  • 6.1.3 HIGH-FIDELITY 3D MAPPING & DIGITAL TWINS
  • 6.1.4 CLOUD & EDGE COMPUTING
• 6.2 COMPLEMENTARY TECHNOLOGIES
  • 6.2.1 INTERNET OF THINGS (IOT) & SENSOR NETWORKS
  • 6.2.2 5G CONNECTIVITY
  • 6.2.3 FEDERATED LEARNING (FL) & PRIVACY-PRESERVING AI
• 6.3 ADJACENT TECHNOLOGIES
  • 6.3.1 SPATIAL COMPUTING
  • 6.3.2 GENERATIVE AI & GEOLLMS
  • 6.3.3 BLOCKCHAIN
• 6.4 TECHNOLOGY ROADMAP
  • 6.4.1 SHORT TERM (2025-2027): FOUNDATION AND STANDARDIZATION PHASE
  • 6.4.2 MID TERM (2028-2030): CONVERGENCE AND AUTOMATION PHASE
  • 6.4.3 LONG TERM (2031-2035): AUTONOMOUS AND COGNITIVE INTEROPERABILITY PHASE
• 6.5 PATENT ANALYSIS
  • 6.5.1 METHODOLOGY
  • 6.5.2 PATENTS FILED, BY DOCUMENT TYPE, 2016-2025
  • 6.5.3 INNOVATION AND PATENT APPLICATIONS

7 REGULATORY LANDSCAPE

• 7.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.1.2 KEY REGULATIONS
    • 7.1.2.1 North America
      • 7.1.2.1.1 Geospatial Data Act (GDA) of 2018 (US)
      • 7.1.2.1.2 Open Government Directive of 2014 (Canada)
    • 7.1.2.2 Europe
      • 7.1.2.2.1 INSPIRE Directive 2007/2 (European Commission)
      • 7.1.2.2.2 General Data Protection Regulation (European Union)
      • 7.1.2.2.3 Copernicus Regulation 2021/696 (European Union)
    • 7.1.2.3 Asia Pacific
      • 7.1.2.3.1 Geospatial Information Regulation Act 2016 (India)
      • 7.1.2.3.2 Surveying and Mapping Law 2002, Revised 2017 (China)
      • 7.1.2.3.3 Basic Act on Advancement of Utilizing Geospatial Information, 2007 (Japan)
    • 7.1.2.4 Middle East & Africa
      • 7.1.2.4.1 Survey and Mapping Law (Saudi Arabia)
      • 7.1.2.4.2 Spatial Data Infrastructure Act 54 of 2003 (South Africa)
    • 7.1.2.5 Latin America
      • 7.1.2.5.1 National Geospatial Data Infrastructure (INDE) Law (Brazil)
      • 7.1.2.5.2 Geospatial Data Law 2020 (Mexico)
  • 7.1.3 INDUSTRY STANDARDS

8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR

• 8.1 DECISION-MAKING PROCESS
• 8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
  • 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 8.2.2 BUYING CRITERIA
• 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES
• 8.4 UNMET NEEDS OF VARIOUS INDUSTRY VERTICALS

9 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING

• 9.1 INTRODUCTION
  • 9.1.1 OFFERING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
• 9.2 SOFTWARE
  • 9.2.1 GEOAI & ML PLATFORMS
    • 9.2.1.1 Advancing intelligent spatial analysis through integrated AI-driven platform capabilities
    • 9.2.1.2 Agentic GIS & AI copilot
    • 9.2.1.3 GeoAI cloud-native platform
    • 9.2.1.4 GeoAI model catalogs
    • 9.2.1.5 Other GeoAI & ML platforms
  • 9.2.2 GEOSPATIAL ANALYTICS
    • 9.2.2.1 Traditional GIS Solutions
      • 9.2.2.1.1 Strengthening spatial decision-making through expanding demand for foundational GIS capabilities
      • 9.2.2.1.2 Desktop GIS
      • 9.2.2.1.3 Web/Enterprise GIS
      • 9.2.2.1.4 Spatial databases
      • 9.2.2.1.5 3D/4D mapping tools
    • 9.2.2.2 Location intelligence (LI)
      • 9.2.2.2.1 Enhancing spatial decision-making through advanced location intelligence capabilities
      • 9.2.2.2.2 Spatial query & indexing engines
      • 9.2.2.2.3 Geospatial visualization engines
      • 9.2.2.2.4 Location enrichment tools
      • 9.2.2.2.5 Spatial APIs & microservices
    • 9.2.2.3 Data Processing & ETL
      • 9.2.2.3.1 Advancing organizational security with unified policy enforcement
      • 9.2.2.3.2 Geocoding engines
      • 9.2.2.3.3 Spatial data integration tools
      • 9.2.2.3.4 Raster/vector/CRS data conversion
• 9.3 GEOSPATIAL ACQUISITION SYSTEMS
  • 9.3.1 SENSING & CAPTURE
    • 9.3.1.1 Enhancing spatial data fidelity through advanced multimodal sensing innovations
    • 9.3.1.2 Satellite imaging sensors
    • 9.3.1.3 Aerial cameras
    • 9.3.1.4 LiDAR/3D scanners
  • 9.3.2 POSITIONING & TRACKING
    • 9.3.2.1 Optimizing precision movement through advanced geospatial tracking technologies
    • 9.3.2.2 GNSS receivers (RTK/PPP)
    • 9.3.2.3 Inertial Measurement Units (IMU)
    • 9.3.2.4 PNT (Position, Navigation, Timing) systems
• 9.4 SERVICES
  • 9.4.1 CORE SERVICES
    • 9.4.1.1 Accelerating adoption through expert-led integration and high-quality geospatial services
    • 9.4.1.2 Consulting
    • 9.4.1.3 Deployment & integration
    • 9.4.1.4 Custom application development
    • 9.4.1.5 Training & enablement
    • 9.4.1.6 Data-integration services
  • 9.4.2 MANAGED SERVICES
    • 9.4.2.1 Accelerating scalable geospatial readiness through continuous cloud delivery and automation
    • 9.4.2.2 Data-as-a-Service (DaaS)
    • 9.4.2.3 Analytics-as-a-Service (AaaS)

10 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE

• 10.1 INTRODUCTION
  • 10.1.1 CORE TECHNOLOGY ARCHITECTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
• 10.2 VECTOR & GIS ANALYTICS
  • 10.2.1 ACCELERATING PRECISION MAPPING THROUGH AI-ENHANCED VECTOR ANALYSIS AND AUTOMATED GEOPROCESSING
  • 10.2.2 GEOMETRIC ANALYSIS
  • 10.2.3 SPATIAL STATISTICS
  • 10.2.4 NETWORK ANALYSIS
• 10.3 RASTER & IMAGERY ANALYTICS
  • 10.3.1 DRIVING REAL-TIME INSIGHT THROUGH AI-POWERED IMAGERY INTERPRETATION AND AUTOMATED CHANGE DETECTION
  • 10.3.2 SATELLITE/AERIAL IMAGE PROCESSING
  • 10.3.3 COMPUTER VISION
  • 10.3.4 SPECTRAL ANALYSIS
• 10.4 STREAMING & REAL-TIME ANALYTICS
  • 10.4.1 ENHANCING SITUATIONAL AWARENESS THROUGH AI-OPTIMIZED REAL-TIME GEOSPATIAL DATA PROCESSING
  • 10.4.2 LIVE DATA PROCESSING
  • 10.4.3 EVENT DETECTION
  • 10.4.4 DYNAMIC OPTIMIZATION
• 10.5 GEOVISUALIZATION
  • 10.5.1 ELEVATING DECISION CLARITY THROUGH INTERACTIVE SPATIAL VISUALIZATION AND AI-DRIVEN VISUAL INSIGHTS
  • 10.5.2 DASHBOARD & REPORTING
  • 10.5.3 THEMATIC MAPPING
  • 10.5.4 3D/AR/VR OVERLAYS

11 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE

• 11.1 INTRODUCTION
  • 11.1.1 DATA TYPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
• 11.2 IMAGERY DATA
  • 11.2.1 ADVANCING HIGH-PRECISION INSIGHTS THROUGH INTELLIGENT UTILIZATION OF RICH IMAGERY DATA
  • 11.2.2 SATELLITE IMAGERY
  • 11.2.3 AERIAL/UAV IMAGERY
  • 11.2.4 HYPERSPECTRAL DATA
  • 11.2.5 SAR DATA
• 11.3 NON-IMAGERY DATA
  • 11.3.1 STRENGTHENING CONTEXT-AWARE DECISION INTELLIGENCE THROUGH NON-IMAGERY SPATIAL DATA UTILIZATION
  • 11.3.2 VECTOR DATA
  • 11.3.3 3D SPATIAL DATA
  • 11.3.4 CROWD-SOURCED DATA
  • 11.3.5 LIDAR DATA
• 11.4 GEOTEMPORAL & FUSION
  • 11.4.1 ADVANCING PREDICTIVE INSIGHT THROUGH INTEGRATED GEOTEMPORAL ANALYSIS AND MULTIMODAL DATA FUSION
  • 11.4.2 SENSOR/IOT DATA
  • 11.4.3 SOCIAL MEDIA GEOTAGGED DATA
  • 11.4.4 MOBILE DEVICE LOCATION DATA

12 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION

• 12.1 INTRODUCTION
  • 12.1.1 APPLICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
• 12.2 ASSET MONITORING & MANAGEMENT
  • 12.2.1 DRIVING ASSET RELIABILITY THROUGH INTELLIGENT GEOSPATIAL MONITORING AND PREDICTIVE INSIGHT
• 12.3 RISK ASSESSMENT & MODELING
  • 12.3.1 ENHANCING HAZARD FORESIGHT THROUGH INTELLIGENT GEOSPATIAL RISK MODELLING
• 12.4 PRECISION AGRICULTURE
  • 12.4.1 ADVANCING FARM EFFICIENCY THROUGH INTELLIGENT GEOSPATIAL CROP OPTIMIZATION
• 12.5 DISASTER MANAGEMENT & RESPONSE
  • 12.5.1 ENHANCING EMERGENCY PREPAREDNESS THROUGH ADVANCED GEOAI-DRIVEN DISASTER RESPONSE CAPABILITIES
• 12.6 URBAN PLANNING & DIGITAL TWINS
  • 12.6.1 DRIVING ENTERPRISE EFFICIENCY, SECURITY, AND VISIBILITY IN SAAS OPERATIONS
• 12.7 SURVEILLANCE & SECURITY
  • 12.7.1 ADVANCING THREAT DETECTION THROUGH GEOAI-ENABLED SURVEILLANCE AND SECURITY SYSTEMS
• 12.8 SUPPLY CHAIN & ROUTE OPTIMIZATION
  • 12.8.1 BOOSTING LOGISTICS PERFORMANCE THROUGH GEOAI-ENABLED ROUTING AND SUPPLY CHAIN OPTIMIZATION
• 12.9 ENVIRONMENTAL & CLIMATE MONITORING
  • 12.9.1 STRENGTHENING CLIMATE RESILIENCE THROUGH GEOAI-DRIVEN ENVIRONMENTAL MONITORING SYSTEMS

13 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL

• 13.1 INTRODUCTION
  • 13.1.1 VERTICAL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
• 13.2 ENERGY & UTILITIES
  • 13.2.1 ENHANCING GRID RESILIENCE AND ASSET INTELLIGENCE THROUGH ADVANCED SPATIAL ANALYTICS
• 13.3 GOVERNMENT & DEFENSE
  • 13.3.1 STRENGTHENING NATIONAL SECURITY THROUGH AI-DRIVEN SPATIAL INTELLIGENCE AND SURVEILLANCE
• 13.4 TELECOMMUNICATION
  • 13.4.1 NETWORK DENSIFICATION AND 5G EXPANSION DRIVING ADVANCED SPATIAL INTELLIGENCE ADOPTION
• 13.5 INSURANCE & FINANCIAL SERVICES
  • 13.5.1 CLIMATE RISK TRANSPARENCY AND CLAIMS AUTOMATION DRIVING LOCATION-CENTRIC INTELLIGENCE ADOPTION
• 13.6 REAL ESTATE & CONSTRUCTION
  • 13.6.1 RAPID URBAN DENSITY AND REGULATORY COMPLIANCE PRESSURES ACCELERATING SPATIAL INTELLIGENCE ADOPTION
• 13.7 AUTOMOTIVE & TRANSPORTATION
  • 13.7.1 RISING DEMAND FOR REAL-TIME TRAFFIC OPTIMIZATION AND SMART FLEET ORCHESTRATION
• 13.8 HEALTHCARE & LIFE SCIENCES
  • 13.8.1 EXPANDING PREVENTIVE CARE MODELS AND OUTBREAK PREPAREDNESS STRENGTHENING SPATIAL ANALYTICS ADOPTION
• 13.9 MINING
  • 13.9.1 RISING COMMODITY DEMAND AND AUTOMATION IMPERATIVES ACCELERATING SPATIAL INTELLIGENCE INTEGRATION
• 13.10 AGRICULTURE
  • 13.10.1 CLIMATE VOLATILITY AND PRECISION YIELD OPTIMIZATION ACCELERATING SPATIAL INTELLIGENCE ADOPTION
• 13.11 OTHER VERTICALS

14 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION

• 14.1 INTRODUCTION
• 14.2 NORTH AMERICA
  • 14.2.1 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
  • 14.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 14.2.3 US
    • 14.2.3.1 Smart infrastructure and BIM-led digitization to accelerate location-based intelligence adoption
  • 14.2.4 CANADA
    • 14.2.4.1 Open data mandates and startup-driven innovation powering nationwide geospatial adoption
• 14.3 EUROPE
  • 14.3.1 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
  • 14.3.2 EUROPE: MACROECONOMIC OUTLOOK
  • 14.3.3 UK
    • 14.3.3.1 Government initiatives and defense partnerships to fuel advanced location Intelligence adoption
  • 14.3.4 GERMANY
    • 14.3.4.1 Satellite services, smart cities, and sustainability programs to drive advanced spatial innovation
  • 14.3.5 FRANCE
    • 14.3.5.1 Defense modernization, smart cities, and climate missions to support adoption of AI-driven spatial intelligence
  • 14.3.6 ITALY
    • 14.3.6.1 Satellite analytics and smart infrastructure programs accelerating digital location capabilities
  • 14.3.7 REST OF EUROPE
• 14.4 ASIA PACIFIC
  • 14.4.1 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
  • 14.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 14.4.3 CHINA
    • 14.4.3.1 Advancements in satellite technology, telecom infrastructure, and national security to drive growth
  • 14.4.4 INDIA
    • 14.4.4.1 Government-led geospatial policy, international collaboration, and infrastructure digitization to drive market expansion
  • 14.4.5 JAPAN
    • 14.4.5.1 Increase in focus on disaster management and adoption of GIS-based mapping technologies to fuel market growth
  • 14.4.6 ASEAN
    • 14.4.6.1 Smart cities, climate resilience, and cross-border trade to drive GeoAI adoption
  • 14.4.7 REST OF ASIA PACIFIC
• 14.5 MIDDLE EAST & AFRICA
  • 14.5.1 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
  • 14.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 14.5.3 SAUDI ARABIA
    • 14.5.3.1 Vision 2030, smart cities, and space investments to propel advanced spatial intelligence growth
  • 14.5.4 UAE
    • 14.5.4.1 Geospatial data leveraged for projects such as Smart Dubai and Abu Dhabi's TAMM platform
  • 14.5.5 TURKEY
    • 14.5.5.1 Smart infrastructure modernization and disaster risk management to fuel geospatial adoption
  • 14.5.6 SOUTH AFRICA
    • 14.5.6.1 Mining automation, climate risk, and smart cities to fuel spatial AI adoption
  • 14.5.7 REST OF MIDDLE EAST & AFRICA
• 14.6 LATIN AMERICA
  • 14.6.1 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS
  • 14.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 14.6.3 BRAZIL
    • 14.6.3.1 Initiatives like National Institute for Space Research to monitor Amazon and other critical ecosystems to boost market
  • 14.6.4 MEXICO
    • 14.6.4.1 Strategic push for nearshoring and focus on environmental sustainability to amplify demand
  • 14.6.5 REST OF LATIN AMERICA

15 COMPETITIVE LANDSCAPE

• 15.1 OVERVIEW
• 15.2 KEY PLAYER STRATEGIES, 2020-2025
• 15.3 REVENUE ANALYSIS, 2020-2024
• 15.4 MARKET SHARE ANALYSIS, 2024
  • 15.4.1 MARKET RANKING ANALYSIS, 2024
• 15.5 BRAND COMPARATIVE ANALYSIS
  • 15.5.1 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL ACQUISITION SYSTEMS
    • 15.5.1.1 Airbus (France)
    • 15.5.1.2 Planet Labs (US)
    • 15.5.1.3 Fugro (Netherlands)
    • 15.5.1.4 Vexcel Imaging (Austria)
    • 15.5.1.5 Capella Space (US)
  • 15.5.2 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL INTELLIGENCE (GEOAI) SOFTWARE
    • 15.5.2.1 Google (US)
    • 15.5.2.2 ESRI (US)
    • 15.5.2.3 Hexagon AB (Sweden)
    • 15.5.2.4 TomTom (Netherlands)
    • 15.5.2.5 Carto (US)
• 15.6 COMPANY EVALUATION MATRIX: KEY PLAYERS (SOFTWARE & SERVICES VENDORS)
  • 15.6.1 STARS
  • 15.6.2 EMERGING LEADERS
  • 15.6.3 PERVASIVE PLAYERS
  • 15.6.4 PARTICIPANTS
  • 15.6.5 COMPANY FOOTPRINT: KEY PLAYERS (SOFTWARE & SERVICES VENDORS)
    • 15.6.5.1 Company footprint
    • 15.6.5.2 Regional footprint
    • 15.6.5.3 Offering footprint
    • 15.6.5.4 Core technology architecture footprint
    • 15.6.5.5 Application footprint
    • 15.6.5.6 Vertical footprint
• 15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS)
  • 15.7.1 STARS
  • 15.7.2 EMERGING LEADERS
  • 15.7.3 PERVASIVE PLAYERS
  • 15.7.4 PARTICIPANTS
  • 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS)
    • 15.7.5.1 Company footprint
    • 15.7.5.2 Regional footprint
    • 15.7.5.3 Offering footprint
    • 15.7.5.4 Core technology architecture footprint
    • 15.7.5.5 Application footprint
    • 15.7.5.6 Vertical footprint
• 15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES
  • 15.8.1 PROGRESSIVE COMPANIES
  • 15.8.2 RESPONSIVE COMPANIES
  • 15.8.3 DYNAMIC COMPANIES
  • 15.8.4 STARTING BLOCKS
  • 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 15.8.5.1 Detailed list of key startups/SMEs
    • 15.8.5.2 Competitive benchmarking of key startups/SMEs
• 15.9 COMPANY VALUATION AND FINANCIAL METRICS
• 15.10 COMPETITIVE SCENARIO
  • 15.10.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 15.10.2 DEALS

16 COMPANY PROFILES

• 16.1 INTRODUCTION
• 16.2 KEY PLAYERS
  • 16.2.1 GOOGLE
    • 16.2.1.1 Business overview
    • 16.2.1.2 Products/Solutions/Services offered
    • 16.2.1.3 Recent developments
      • 16.2.1.3.1 Product launches & enhancements
      • 16.2.1.3.2 Deals
    • 16.2.1.4 MnM view
      • 16.2.1.4.1 Key strengths
      • 16.2.1.4.2 Strategic choices
      • 16.2.1.4.3 Weaknesses and competitive threats
  • 16.2.2 HEXAGON AB
    • 16.2.2.1 Business overview
    • 16.2.2.2 Products/Solutions/Services offered
    • 16.2.2.3 Recent developments
      • 16.2.2.3.1 Product launches & enhancements
      • 16.2.2.3.2 Deals
    • 16.2.2.4 MnM view
      • 16.2.2.4.1 Key strengths
      • 16.2.2.4.2 Strategic choices
      • 16.2.2.4.3 Weaknesses and competitive threats
  • 16.2.3 TOMTOM
    • 16.2.3.1 Business overview
    • 16.2.3.2 Products/Solutions/Services offered
    • 16.2.3.3 Recent developments
      • 16.2.3.3.1 Product launches & enhancements
      • 16.2.3.3.2 Deals
    • 16.2.3.4 MnM view
      • 16.2.3.4.1 Key strengths
      • 16.2.3.4.2 Strategic choices
      • 16.2.3.4.3 Weaknesses and competitive threats
  • 16.2.4 ALTERYX
    • 16.2.4.1 Business overview
    • 16.2.4.2 Products/Solutions/Services offered
    • 16.2.4.3 Recent developments
      • 16.2.4.3.1 Product launches & enhancements
      • 16.2.4.3.2 Deals
    • 16.2.4.4 MnM view
      • 16.2.4.4.1 Key strengths
      • 16.2.4.4.2 Strategic choices
      • 16.2.4.4.3 Weaknesses and competitive threats
  • 16.2.5 IBM
    • 16.2.5.1 Business overview
    • 16.2.5.2 Products/Solutions/Services offered
    • 16.2.5.3 Recent developments
      • 16.2.5.3.1 Product launches & enhancements
      • 16.2.5.3.2 Deals
    • 16.2.5.4 MnM view
      • 16.2.5.4.1 Key strengths
      • 16.2.5.4.2 Strategic choices
      • 16.2.5.4.3 Weaknesses and competitive threats
  • 16.2.6 AIRBUS
    • 16.2.6.1 Business overview
    • 16.2.6.2 Products/Solutions/Services offered
    • 16.2.6.3 Recent developments
      • 16.2.6.3.1 Product launches & enhancements
      • 16.2.6.3.2 Deals
  • 16.2.7 TRIMBLE
    • 16.2.7.1 Business overview
    • 16.2.7.2 Products/Solutions/Services offered
    • 16.2.7.3 Recent developments
      • 16.2.7.3.1 Product launches & enhancements
      • 16.2.7.3.2 Deals
  • 16.2.8 CALIPER CORPORATION
    • 16.2.8.1 Business overview
    • 16.2.8.2 Products/Solutions/Services offered
    • 16.2.8.3 Recent developments
      • 16.2.8.3.1 Product launches & enhancements
      • 16.2.8.3.2 Deals
  • 16.2.9 PRECISELY
    • 16.2.9.1 Business overview
    • 16.2.9.2 Products/Solutions/Services offered
    • 16.2.9.3 Recent developments
      • 16.2.9.3.1 Product launches & enhancements
      • 16.2.9.3.2 Deals
  • 16.2.10 ESRI
    • 16.2.10.1 Business overview
    • 16.2.10.2 Products/Solutions/Services offered
    • 16.2.10.3 Recent developments
      • 16.2.10.3.1 Product launches & enhancements
      • 16.2.10.3.2 Deals
  • 16.2.11 MICROSOFT
    • 16.2.11.1 Business overview
    • 16.2.11.2 Products/Solutions/Services offered
    • 16.2.11.3 Recent developments
      • 16.2.11.3.1 Product launches & enhancements
      • 16.2.11.3.2 Deals
  • 16.2.12 BENTLEY SYSTEMS
    • 16.2.12.1 Business overview
    • 16.2.12.2 Products/Solutions/Services offered
    • 16.2.12.3 Recent developments
      • 16.2.12.3.1 Product launches
      • 16.2.12.3.2 Deals
  • 16.2.13 HERE TECHNOLOGIES
    • 16.2.13.1 Business overview
    • 16.2.13.2 Products/Solutions/Services offered
    • 16.2.13.3 Recent developments
      • 16.2.13.3.1 Product launches and enhancements
      • 16.2.13.3.2 Deals
  • 16.2.14 NV5 GEOSPATIAL
    • 16.2.14.1 Business overview
    • 16.2.14.2 Products/Solutions/Services offered
    • 16.2.14.3 Recent developments
      • 16.2.14.3.1 Product launches
  • 16.2.15 TELEDYNE GEOSPATIAL
    • 16.2.15.1 Business overview
    • 16.2.15.2 Products/Solutions/Services offered
    • 16.2.15.3 Recent developments
      • 16.2.15.3.1 Product launches
      • 16.2.15.3.2 Deals
  • 16.2.16 RMSI
  • 16.2.17 LANTERIS SPACE SYSTEMS
  • 16.2.18 VANTOR
  • 16.2.19 MAPLARGE
  • 16.2.20 BAE SYSTEMS
  • 16.2.21 GENERAL ELECTRIC
  • 16.2.22 FUGRO
  • 16.2.23 PLANET LABS
  • 16.2.24 SBL
  • 16.2.25 ECS
  • 16.2.26 AWS
  • 16.2.27 CGI
• 16.3 STARTUPS/SMES
  • 16.3.1 VEXEL IMAGING
  • 16.3.2 CAPELLA SPACE
  • 16.3.3 EARTHDAILY ANALYTICS
  • 16.3.4 MAPIDEA
  • 16.3.5 GEOSPIN (EMA SMARTSERVICE)
  • 16.3.6 SPARKGEO
  • 16.3.7 CARTO
  • 16.3.8 MAPBOX
  • 16.3.9 BLUE SKY ANALYTICS
  • 16.3.10 LATITUDO40
  • 16.3.11 ECOPIA.AI
  • 16.3.12 SPATIAL.AI
  • 16.3.13 DISTA
  • 16.3.14 EOS DATA ANALYTICS
  • 16.3.15 MAGNASOFT
  • 16.3.16 WHEROBOTS
  • 16.3.17 OUSTER
  • 16.3.18 GEOWGS84.AI
  • 16.3.19 EUROPA TECHNOLOGIES
  • 16.3.20 MAPULAR

17 RESEARCH METHODOLOGY

• 17.1 RESEARCH DATA
  • 17.1.1 SECONDARY DATA
  • 17.1.2 PRIMARY DATA
    • 17.1.2.1 Breakup of primary profiles
    • 17.1.2.2 Key industry insights
• 17.2 DATA TRIANGULATION
• 17.3 MARKET SIZE ESTIMATION
  • 17.3.1 TOP-DOWN APPROACH
  • 17.3.2 BOTTOM-UP APPROACH
• 17.4 MARKET FORECAST
• 17.5 RESEARCH ASSUMPTIONS
• 17.6 RESEARCH LIMITATIONS

18 ADJACENT AND RELATED MARKETS

• 18.1 INTRODUCTION
• 18.2 GEOSPATIAL IMAGERY ANALYTICS MARKET - GLOBAL FORECAST TO 2030
  • 18.2.1 MARKET DEFINITION
  • 18.2.2 MARKET OVERVIEW
    • 18.2.2.1 Geospatial imagery analytics market, by offering
    • 18.2.2.2 Geospatial imagery analytics market, by data modality
    • 18.2.2.3 Geospatial imagery analytics market, by vertical
    • 18.2.2.4 Geospatial imagery analytics market, by region
• 18.3 LOCATION-BASED SERVICES (LBS) AND REAL-TIME LOCATION SYSTEMS (RTLS) MARKET - GLOBAL FORECAST TO 2028
  • 18.3.1 MARKET DEFINITION
  • 18.3.2 MARKET OVERVIEW
    • 18.3.2.1 LBS and RTLS Market, by offering
    • 18.3.2.2 LBS and RTLS market, by location type
    • 18.3.2.3 LBS and RTLS market, by application
    • 18.3.2.4 LBS and RTLS market, by vertical
    • 18.3.2.5 LBS and RTLS market, by region

19 APPENDIX

• 19.1 DISCUSSION GUIDE
• 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 19.3 CUSTOMIZATION OPTIONS
• 19.4 RELATED REPORTS
• 19.5 AUTHOR DETAILS