Geospatial Intelligence Market by GeoAI (Agentic GIS, Model Catalogs), Geospatial Analytics (Traditional GIS Solutions, Location Intelligence, Data Processing & ETL), Acquisition Systems (PNT, GNSS), Technology (Raster, Imagery Analytics) - Global Forecast to 2030
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 b... もっと見る
英語原文をAIを使って翻訳しています。
SummaryThe 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.https://mnmimg.marketsandmarkets.com/Images/geospatial-intelligence-market-img-overview.webp “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 Contents1 INTRODUCTION 481.1 STUDY OBJECTIVES 48 1.2 MARKET DEFINITION 48 1.2.1 INCLUSIONS AND EXCLUSIONS 49 1.3 MARKET SCOPE 50 1.3.1 MARKET SEGMENTATION 50 1.3.2 STUDY YEARS CONSIDERED 51 1.4 CURRENCY CONSIDERED 51 1.5 STAKEHOLDERS 51 1.6 SUMMARY OF CHANGES 52 2 EXECUTIVE SUMMARY 54 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS 54 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 56 2.3 DISRUPTIVE TRENDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 57 2.4 HIGH-GROWTH SEGMENTS 58 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST 59 3 PREMIUM INSIGHTS 60 3.1 ATTRACTIVE OPPORTUNITIES IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 60 3.2 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: TOP THREE APPLICATIONS 61 3.3 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING AND END USER 61 3.4 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION 62 4 MARKET OVERVIEW 63 4.1 INTRODUCTION 63 4.2 MARKET DYNAMICS 63 4.2.1 DRIVERS 64 4.2.1.1 Compression of decision timelines across security, infrastructure, and commercial operations 64 4.2.1.2 Proliferation of persistent Earth observation and location-aware data sources 65 4.2.1.3 Expansion of geospatial intelligence beyond defense into civilian and commercial decision-making 65 4.2.1.4 Rising importance of spatial context for predictive and anticipatory intelligence 65 4.2.2 RESTRAINTS 66 4.2.2.1 Managing regulatory constraints and cross-border data controls 66 4.2.2.2 Infrastructure and network constraints limiting real-time geospatial intelligence adoption 66 4.2.3 OPPORTUNITIES 67 4.2.3.1 Unlocking new value with geo foundation models and transfer learning pipelines 67 4.2.3.2 Scaling enterprise trust through data fusion and provenance services 67 4.2.3.3 Delivering verticalized, compliance-aligned geospatial intelligence platforms 68 4.2.3.4 Monetizing predictive geospatial intelligence through operational integration 68 4.2.4 CHALLENGES 69 4.2.4.1 Maintaining high-quality labels and validation at operational scale 69 4.2.4.2 Enabling secure multi-party geospatial collaboration and federated analytics 69 4.3 UNMET NEEDS AND WHITE SPACES 70 4.3.1 UNMET NEEDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 70 4.3.2 WHITE SPACE OPPORTUNITIES 70 4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 71 4.4.1 INTERCONNECTED MARKETS 71 4.4.2 CROSS-SECTOR OPPORTUNITIES 72 4.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 73 4.5.1 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 73 5 INDUSTRY TRENDS 74 5.1 EVOLUTION OF GEOSPATIAL INTELLIGENCE (GEOAI) 74 5.2 PORTER’S FIVE FORCES ANALYSIS 76 5.2.1 THREAT OF NEW ENTRANTS 77 5.2.2 THREAT OF SUBSTITUTES 77 5.2.3 BARGAINING POWER OF SUPPLIERS 77 5.2.4 BARGAINING POWER OF BUYERS 77 5.2.5 INTENSITY OF COMPETITIVE RIVALRY 78 5.3 MACROECONOMIC OUTLOOK 78 5.3.1 INTRODUCTION 78 5.3.2 GDP TRENDS AND FORECAST 78 5.3.3 TRENDS IN GLOBAL BIG DATA AND ANALYTICS INDUSTRY 80 5.3.4 TRENDS IN GLOBAL CYBERSECURITY INDUSTRY 80 5.4 SUPPLY CHAIN ANALYSIS 81 5.5 ECOSYSTEM ANALYSIS 83 5.5.1 GEOSPATIAL ACQUISITION SYSTEM PROVIDERS 85 5.5.1.1 Sensing & capture providers 85 5.5.1.2 Positioning & tracking providers 86 5.5.2 SOFTWARE PROVIDERS 86 5.5.2.1 Location intelligence providers 86 5.5.2.2 Traditional GIS providers 86 5.5.2.3 Data processing & ETL providers 86 5.5.2.4 GeoAI & ML platform providers 86 5.5.3 SERVICE PROVIDERS 87 5.5.3.1 Core services 87 5.5.3.1.1 Consulting services 87 5.5.3.1.2 Data integration services 87 5.5.3.2 Managed services 87 5.6 PRICING ANALYSIS 87 5.6.1 AVERAGE SELLING PRICE OF OFFERINGS (GEOSPATIAL ACQUISITION SYSTEMS), BY KEY PLAYER, 2025 89 5.6.2 AVERAGE SELLING PRICE OF SOFTWARE AND SERVICES, 2025 89 5.7 TRADE ANALYSIS 91 5.7.1 IMPORT SCENARIO (HS CODE 9015) 91 5.7.2 EXPORT SCENARIO (HS CODE 9015) 93 5.8 KEY CONFERENCES AND EVENTS, 2025?2026 94 5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 95 5.10 INVESTMENT AND FUNDING SCENARIO 96 5.11 CASE STUDY ANALYSIS 97 5.11.1 CGI AND BELL CANADA TRANSFORM NETWORK WITH ENTERPRISE GEOSPATIAL PLATFORM 97 5.11.2 WHEROBOTS AND AARDEN.AI OVERCOME SCALING CHALLENGES WITH UNIFIED GEOSPATIAL PLATFORM 98 5.11.3 SOUTH KOREA AND NV5 INTEGRATE REMOTE SENSING TO IMPROVE FOREST GHG REPORTING 98 5.11.4 SYMAPS AND MAPBOX ENHANCE LOCATION INTELLIGENCE WITH GLOBAL MOVEMENT DATA 99 5.11.5 BAJAJ FINSERV IMPLEMENTS ESRI’S GEOSPATIAL PLATFORM SOLUTION TO IMPROVE CUSTOMER SERVICE 99 5.12 IMPACT OF 2025 US TARIFF ? GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 100 5.12.1 INTRODUCTION 100 5.12.1.1 Tariff/trade policy updates (August?December 2025) 101 5.12.2 KEY TARIFF RATES 101 5.12.3 PRICE IMPACT ANALYSIS 102 5.12.3.1 Strategic shifts and emerging trends 102 5.12.4 IMPACT ON COUNTRIES/REGIONS 103 5.12.4.1 US 103 5.12.4.2 China 104 5.12.4.3 Europe 105 5.12.4.4 Asia Pacific (excluding China) 106 5.12.5 IMPACT ON END-USE INDUSTRIES 107 5.12.5.1 Energy & utilities 107 5.12.5.2 Government & defense 107 5.12.5.3 Telecommunications 108 5.12.5.4 Insurance & financial services 108 5.12.5.5 Real estate & construction 108 5.12.5.6 Automotive & transportation 109 5.12.5.7 Healthcare & life sciences 109 5.12.5.8 Mining 109 5.12.5.9 Agriculture 109 5.12.5.10 Other verticals (retail & e-commerce, media & entertainment, education, tourism) 110 6 STRATEGIC DISRUPTION: PATENTS, DIGITAL, AND AI ADOPTIONS 111 6.1 KEY EMERGING TECHNOLOGIES 111 6.1.1 ADVANCED AI/ML TECHNIQUES 111 6.1.2 REMOTE SENSING, EO, & MULTI-SENSOR DATA FUSION 111 6.1.3 HIGH-FIDELITY 3D MAPPING & DIGITAL TWINS 111 6.1.4 CLOUD & EDGE COMPUTING 112 6.2 COMPLEMENTARY TECHNOLOGIES 112 6.2.1 INTERNET OF THINGS (IOT) & SENSOR NETWORKS 112 6.2.2 5G CONNECTIVITY 113 6.2.3 FEDERATED LEARNING (FL) & PRIVACY-PRESERVING AI 113 6.3 ADJACENT TECHNOLOGIES 113 6.3.1 SPATIAL COMPUTING 113 6.3.2 GENERATIVE AI & GEOLLMS 114 6.3.3 BLOCKCHAIN 114 6.4 TECHNOLOGY ROADMAP 114 6.4.1 SHORT TERM (2025?2027): FOUNDATION AND STANDARDIZATION PHASE 115 6.4.2 MID TERM (2028?2030): CONVERGENCE AND AUTOMATION PHASE 115 6.4.3 LONG TERM (2031?2035): AUTONOMOUS AND COGNITIVE INTEROPERABILITY PHASE 116 6.5 PATENT ANALYSIS 116 6.5.1 METHODOLOGY 116 6.5.2 PATENTS FILED, BY DOCUMENT TYPE, 2016?2025 117 6.5.3 INNOVATION AND PATENT APPLICATIONS 117 7 REGULATORY LANDSCAPE 121 7.1 REGIONAL REGULATIONS AND COMPLIANCE 121 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 121 7.1.2 KEY REGULATIONS 124 7.1.2.1 North America 124 7.1.2.1.1 Geospatial Data Act (GDA) of 2018 (US) 124 7.1.2.1.2 Open Government Directive of 2014 (Canada) 125 7.1.2.2 Europe 125 7.1.2.2.1 INSPIRE Directive 2007/2 (European Commission) 125 7.1.2.2.2 General Data Protection Regulation (European Union) 126 7.1.2.2.3 Copernicus Regulation 2021/696 (European Union) 126 7.1.2.3 Asia Pacific 126 7.1.2.3.1 Geospatial Information Regulation Act 2016 (India) 126 7.1.2.3.2 Surveying and Mapping Law 2002, Revised 2017 (China) 127 7.1.2.3.3 Basic Act on Advancement of Utilizing Geospatial Information, 2007 (Japan) 127 7.1.2.4 Middle East & Africa 128 7.1.2.4.1 Survey and Mapping Law (Saudi Arabia) 128 7.1.2.4.2 Spatial Data Infrastructure Act 54 of 2003 (South Africa) 128 7.1.2.5 Latin America 128 7.1.2.5.1 National Geospatial Data Infrastructure (INDE) Law (Brazil) 128 7.1.2.5.2 Geospatial Data Law 2020 (Mexico) 129 7.1.3 INDUSTRY STANDARDS 129 8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR 132 8.1 DECISION-MAKING PROCESS 132 8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 134 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 134 8.2.2 BUYING CRITERIA 134 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES 135 8.4 UNMET NEEDS OF VARIOUS INDUSTRY VERTICALS 136 9 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING 139 9.1 INTRODUCTION 140 9.1.1 OFFERING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 140 9.2 SOFTWARE 141 9.2.1 GEOAI & ML PLATFORMS 143 9.2.1.1 Advancing intelligent spatial analysis through integrated AI-driven platform capabilities 143 9.2.1.2 Agentic GIS & AI copilot 144 9.2.1.3 GeoAI cloud-native platform 144 9.2.1.4 GeoAI model catalogs 145 9.2.1.5 Other GeoAI & ML platforms 145 9.2.2 GEOSPATIAL ANALYTICS 146 9.2.2.1 Traditional GIS Solutions 146 9.2.2.1.1 Strengthening spatial decision-making through expanding demand for foundational GIS capabilities 146 9.2.2.1.2 Desktop GIS 147 9.2.2.1.3 Web/Enterprise GIS 148 9.2.2.1.4 Spatial databases 148 9.2.2.1.5 3D/4D mapping tools 148 ? 9.2.2.2 Location intelligence (LI) 149 9.2.2.2.1 Enhancing spatial decision-making through advanced location intelligence capabilities 149 9.2.2.2.2 Spatial query & indexing engines 150 9.2.2.2.3 Geospatial visualization engines 150 9.2.2.2.4 Location enrichment tools 150 9.2.2.2.5 Spatial APIs & microservices 150 9.2.2.3 Data Processing & ETL 151 9.2.2.3.1 Advancing organizational security with unified policy enforcement 151 9.2.2.3.2 Geocoding engines 152 9.2.2.3.3 Spatial data integration tools 152 9.2.2.3.4 Raster/vector/CRS data conversion 152 9.3 GEOSPATIAL ACQUISITION SYSTEMS 153 9.3.1 SENSING & CAPTURE 154 9.3.1.1 Enhancing spatial data fidelity through advanced multimodal sensing innovations 154 9.3.1.2 Satellite imaging sensors 155 9.3.1.3 Aerial cameras 156 9.3.1.4 LiDAR/3D scanners 156 9.3.2 POSITIONING & TRACKING 156 9.3.2.1 Optimizing precision movement through advanced geospatial tracking technologies 156 9.3.2.2 GNSS receivers (RTK/PPP) 157 9.3.2.3 Inertial Measurement Units (IMU) 157 9.3.2.4 PNT (Position, Navigation, Timing) systems 158 9.4 SERVICES 158 9.4.1 CORE SERVICES 160 9.4.1.1 Accelerating adoption through expert-led integration and high-quality geospatial services 160 9.4.1.2 Consulting 161 9.4.1.3 Deployment & integration 161 9.4.1.4 Custom application development 161 9.4.1.5 Training & enablement 161 9.4.1.6 Data-integration services 162 9.4.2 MANAGED SERVICES 162 9.4.2.1 Accelerating scalable geospatial readiness through continuous cloud delivery and automation 162 9.4.2.2 Data-as-a-Service (DaaS) 163 9.4.2.3 Analytics-as-a-Service (AaaS) 163 ? 10 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE 164 10.1 INTRODUCTION 165 10.1.1 CORE TECHNOLOGY ARCHITECTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 165 10.2 VECTOR & GIS ANALYTICS 166 10.2.1 ACCELERATING PRECISION MAPPING THROUGH AI-ENHANCED VECTOR ANALYSIS AND AUTOMATED GEOPROCESSING 166 10.2.2 GEOMETRIC ANALYSIS 167 10.2.3 SPATIAL STATISTICS 167 10.2.4 NETWORK ANALYSIS 168 10.3 RASTER & IMAGERY ANALYTICS 168 10.3.1 DRIVING REAL-TIME INSIGHT THROUGH AI-POWERED IMAGERY INTERPRETATION AND AUTOMATED CHANGE DETECTION 168 10.3.2 SATELLITE/AERIAL IMAGE PROCESSING 169 10.3.3 COMPUTER VISION 169 10.3.4 SPECTRAL ANALYSIS 170 10.4 STREAMING & REAL-TIME ANALYTICS 170 10.4.1 ENHANCING SITUATIONAL AWARENESS THROUGH AI-OPTIMIZED REAL-TIME GEOSPATIAL DATA PROCESSING 170 10.4.2 LIVE DATA PROCESSING 171 10.4.3 EVENT DETECTION 171 10.4.4 DYNAMIC OPTIMIZATION 172 10.5 GEOVISUALIZATION 172 10.5.1 ELEVATING DECISION CLARITY THROUGH INTERACTIVE SPATIAL VISUALIZATION AND AI-DRIVEN VISUAL INSIGHTS 172 10.5.2 DASHBOARD & REPORTING 173 10.5.3 THEMATIC MAPPING 173 10.5.4 3D/AR/VR OVERLAYS 174 11 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE 175 11.1 INTRODUCTION 176 11.1.1 DATA TYPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 176 11.2 IMAGERY DATA 177 11.2.1 ADVANCING HIGH-PRECISION INSIGHTS THROUGH INTELLIGENT UTILIZATION OF RICH IMAGERY DATA 177 11.2.2 SATELLITE IMAGERY 178 11.2.3 AERIAL/UAV IMAGERY 178 11.2.4 HYPERSPECTRAL DATA 179 11.2.5 SAR DATA 179 ? 11.3 NON-IMAGERY DATA 179 11.3.1 STRENGTHENING CONTEXT-AWARE DECISION INTELLIGENCE THROUGH NON-IMAGERY SPATIAL DATA UTILIZATION 179 11.3.2 VECTOR DATA 180 11.3.3 3D SPATIAL DATA 181 11.3.4 CROWD-SOURCED DATA 181 11.3.5 LIDAR DATA 181 11.4 GEOTEMPORAL & FUSION 182 11.4.1 ADVANCING PREDICTIVE INSIGHT THROUGH INTEGRATED GEOTEMPORAL ANALYSIS AND MULTIMODAL DATA FUSION 182 11.4.2 SENSOR/IOT DATA 183 11.4.3 SOCIAL MEDIA GEOTAGGED DATA 183 11.4.4 MOBILE DEVICE LOCATION DATA 183 12 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION 184 12.1 INTRODUCTION 185 12.1.1 APPLICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 185 12.2 ASSET MONITORING & MANAGEMENT 187 12.2.1 DRIVING ASSET RELIABILITY THROUGH INTELLIGENT GEOSPATIAL MONITORING AND PREDICTIVE INSIGHT 187 12.3 RISK ASSESSMENT & MODELING 188 12.3.1 ENHANCING HAZARD FORESIGHT THROUGH INTELLIGENT GEOSPATIAL RISK MODELLING 188 12.4 PRECISION AGRICULTURE 189 12.4.1 ADVANCING FARM EFFICIENCY THROUGH INTELLIGENT GEOSPATIAL CROP OPTIMIZATION 189 12.5 DISASTER MANAGEMENT & RESPONSE 190 12.5.1 ENHANCING EMERGENCY PREPAREDNESS THROUGH ADVANCED GEOAI-DRIVEN DISASTER RESPONSE CAPABILITIES 190 12.6 URBAN PLANNING & DIGITAL TWINS 191 12.6.1 DRIVING ENTERPRISE EFFICIENCY, SECURITY, AND VISIBILITY IN SAAS OPERATIONS 191 12.7 SURVEILLANCE & SECURITY 192 12.7.1 ADVANCING THREAT DETECTION THROUGH GEOAI-ENABLED SURVEILLANCE AND SECURITY SYSTEMS 192 12.8 SUPPLY CHAIN & ROUTE OPTIMIZATION 193 12.8.1 BOOSTING LOGISTICS PERFORMANCE THROUGH GEOAI-ENABLED ROUTING AND SUPPLY CHAIN OPTIMIZATION 193 12.9 ENVIRONMENTAL & CLIMATE MONITORING 194 12.9.1 STRENGTHENING CLIMATE RESILIENCE THROUGH GEOAI-DRIVEN ENVIRONMENTAL MONITORING SYSTEMS 194 ? 13 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL 196 13.1 INTRODUCTION 197 13.1.1 VERTICAL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 197 13.2 ENERGY & UTILITIES 199 13.2.1 ENHANCING GRID RESILIENCE AND ASSET INTELLIGENCE THROUGH ADVANCED SPATIAL ANALYTICS 199 13.3 GOVERNMENT & DEFENSE 200 13.3.1 STRENGTHENING NATIONAL SECURITY THROUGH AI-DRIVEN SPATIAL INTELLIGENCE AND SURVEILLANCE 200 13.4 TELECOMMUNICATION 201 13.4.1 NETWORK DENSIFICATION AND 5G EXPANSION DRIVING ADVANCED SPATIAL INTELLIGENCE ADOPTION 201 13.5 INSURANCE & FINANCIAL SERVICES 202 13.5.1 CLIMATE RISK TRANSPARENCY AND CLAIMS AUTOMATION DRIVING LOCATION-CENTRIC INTELLIGENCE ADOPTION 202 13.6 REAL ESTATE & CONSTRUCTION 203 13.6.1 RAPID URBAN DENSITY AND REGULATORY COMPLIANCE PRESSURES ACCELERATING SPATIAL INTELLIGENCE ADOPTION 203 13.7 AUTOMOTIVE & TRANSPORTATION 204 13.7.1 RISING DEMAND FOR REAL-TIME TRAFFIC OPTIMIZATION AND SMART FLEET ORCHESTRATION 204 13.8 HEALTHCARE & LIFE SCIENCES 205 13.8.1 EXPANDING PREVENTIVE CARE MODELS AND OUTBREAK PREPAREDNESS STRENGTHENING SPATIAL ANALYTICS ADOPTION 205 13.9 MINING 206 13.9.1 RISING COMMODITY DEMAND AND AUTOMATION IMPERATIVES ACCELERATING SPATIAL INTELLIGENCE INTEGRATION 206 13.10 AGRICULTURE 207 13.10.1 CLIMATE VOLATILITY AND PRECISION YIELD OPTIMIZATION ACCELERATING SPATIAL INTELLIGENCE ADOPTION 207 13.11 OTHER VERTICALS 208 14 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION 211 14.1 INTRODUCTION 212 14.2 NORTH AMERICA 214 14.2.1 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 214 14.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 215 14.2.3 US 221 14.2.3.1 Smart infrastructure and BIM-led digitization to accelerate location-based intelligence adoption 221 14.2.4 CANADA 226 14.2.4.1 Open data mandates and startup-driven innovation powering nationwide geospatial adoption 226 ? 14.3 EUROPE 231 14.3.1 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 232 14.3.2 EUROPE: MACROECONOMIC OUTLOOK 232 14.3.3 UK 238 14.3.3.1 Government initiatives and defense partnerships to fuel advanced location Intelligence adoption 238 14.3.4 GERMANY 243 14.3.4.1 Satellite services, smart cities, and sustainability programs to drive advanced spatial innovation 243 14.3.5 FRANCE 249 14.3.5.1 Defense modernization, smart cities, and climate missions to support adoption of AI-driven spatial intelligence 249 14.3.6 ITALY 254 14.3.6.1 Satellite analytics and smart infrastructure programs accelerating digital location capabilities 254 14.3.7 REST OF EUROPE 260 14.4 ASIA PACIFIC 266 14.4.1 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 266 14.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 267 14.4.3 CHINA 273 14.4.3.1 Advancements in satellite technology, telecom infrastructure, and national security to drive growth 273 14.4.4 INDIA 279 14.4.4.1 Government-led geospatial policy, international collaboration, and infrastructure digitization to drive market expansion 279 14.4.5 JAPAN 284 14.4.5.1 Increase in focus on disaster management and adoption of GIS-based mapping technologies to fuel market growth 284 14.4.6 ASEAN 290 14.4.6.1 Smart cities, climate resilience, and cross-border trade to drive GeoAI adoption 290 14.4.7 REST OF ASIA PACIFIC 295 14.5 MIDDLE EAST & AFRICA 301 14.5.1 MIDDLE EAST & AFRICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 302 14.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 302 14.5.3 SAUDI ARABIA 308 14.5.3.1 Vision 2030, smart cities, and space investments to propel advanced spatial intelligence growth 308 14.5.4 UAE 314 14.5.4.1 Geospatial data leveraged for projects such as Smart Dubai and Abu Dhabi's TAMM platform 314 14.5.5 TURKEY 319 14.5.5.1 Smart infrastructure modernization and disaster risk management to fuel geospatial adoption 319 ? 14.5.6 SOUTH AFRICA 325 14.5.6.1 Mining automation, climate risk, and smart cities to fuel spatial AI adoption 325 14.5.7 REST OF MIDDLE EAST & AFRICA 330 14.6 LATIN AMERICA 336 14.6.1 LATIN AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET DRIVERS 337 14.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 337 14.6.3 BRAZIL 342 14.6.3.1 Initiatives like National Institute for Space Research to monitor Amazon and other critical ecosystems to boost market 342 14.6.4 MEXICO 348 14.6.4.1 Strategic push for nearshoring and focus on environmental sustainability to amplify demand 348 14.6.5 REST OF LATIN AMERICA 353 15 COMPETITIVE LANDSCAPE 360 15.1 OVERVIEW 360 15.2 KEY PLAYER STRATEGIES, 2020?2025 360 15.3 REVENUE ANALYSIS, 2020?2024 362 15.4 MARKET SHARE ANALYSIS, 2024 363 15.4.1 MARKET RANKING ANALYSIS, 2024 364 15.5 BRAND COMPARATIVE ANALYSIS 366 15.5.1 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL ACQUISITION SYSTEMS 366 15.5.1.1 Airbus (France) 367 15.5.1.2 Planet Labs (US) 367 15.5.1.3 Fugro (Netherlands) 367 15.5.1.4 Vexcel Imaging (Austria) 367 15.5.1.5 Capella Space (US) 367 15.5.2 BRAND COMPARATIVE ANALYSIS, BY GEOSPATIAL INTELLIGENCE (GEOAI) SOFTWARE 368 15.5.2.1 Google (US) 368 15.5.2.2 ESRI (US) 368 15.5.2.3 Hexagon AB (Sweden) 369 15.5.2.4 TomTom (Netherlands) 369 15.5.2.5 Carto (US) 369 15.6 COMPANY EVALUATION MATRIX: KEY PLAYERS (SOFTWARE & SERVICES VENDORS) 369 15.6.1 STARS 369 15.6.2 EMERGING LEADERS 369 15.6.3 PERVASIVE PLAYERS 370 15.6.4 PARTICIPANTS 370 ? 15.6.5 COMPANY FOOTPRINT: KEY PLAYERS (SOFTWARE & SERVICES VENDORS) 371 15.6.5.1 Company footprint 371 15.6.5.2 Regional footprint 372 15.6.5.3 Offering footprint 373 15.6.5.4 Core technology architecture footprint 374 15.6.5.5 Application footprint 375 15.6.5.6 Vertical footprint 376 15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS) 377 15.7.1 STARS 377 15.7.2 EMERGING LEADERS 377 15.7.3 PERVASIVE PLAYERS 377 15.7.4 PARTICIPANTS 377 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS (GEOSPATIAL ACQUISITION SYSTEMS VENDORS) 379 15.7.5.1 Company footprint 379 15.7.5.2 Regional footprint 379 15.7.5.3 Offering footprint 380 15.7.5.4 Core technology architecture footprint 380 15.7.5.5 Application footprint 381 15.7.5.6 Vertical footprint 381 15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES 382 15.8.1 PROGRESSIVE COMPANIES 382 15.8.2 RESPONSIVE COMPANIES 382 15.8.3 DYNAMIC COMPANIES 382 15.8.4 STARTING BLOCKS 383 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 384 15.8.5.1 Detailed list of key startups/SMEs 384 15.8.5.2 Competitive benchmarking of key startups/SMEs 385 15.9 COMPANY VALUATION AND FINANCIAL METRICS 386 15.10 COMPETITIVE SCENARIO 387 15.10.1 PRODUCT LAUNCHES AND ENHANCEMENTS 387 15.10.2 DEALS 388 16 COMPANY PROFILES 390 16.1 INTRODUCTION 390 16.2 KEY PLAYERS 390 16.2.1 GOOGLE 390 16.2.1.1 Business overview 390 16.2.1.2 Products/Solutions/Services offered 392 16.2.1.3 Recent developments 392 16.2.1.3.1 Product launches & enhancements 392 16.2.1.3.2 Deals 394 16.2.1.4 MnM view 395 16.2.1.4.1 Key strengths 395 16.2.1.4.2 Strategic choices 395 16.2.1.4.3 Weaknesses and competitive threats 396 16.2.2 HEXAGON AB 397 16.2.2.1 Business overview 397 16.2.2.2 Products/Solutions/Services offered 398 16.2.2.3 Recent developments 400 16.2.2.3.1 Product launches & enhancements 400 16.2.2.3.2 Deals 401 16.2.2.4 MnM view 403 16.2.2.4.1 Key strengths 403 16.2.2.4.2 Strategic choices 403 16.2.2.4.3 Weaknesses and competitive threats 403 16.2.3 TOMTOM 404 16.2.3.1 Business overview 404 16.2.3.2 Products/Solutions/Services offered 405 16.2.3.3 Recent developments 406 16.2.3.3.1 Product launches & enhancements 406 16.2.3.3.2 Deals 407 16.2.3.4 MnM view 410 16.2.3.4.1 Key strengths 410 16.2.3.4.2 Strategic choices 410 16.2.3.4.3 Weaknesses and competitive threats 410 16.2.4 ALTERYX 411 16.2.4.1 Business overview 411 16.2.4.2 Products/Solutions/Services offered 411 16.2.4.3 Recent developments 412 16.2.4.3.1 Product launches & enhancements 412 16.2.4.3.2 Deals 413 16.2.4.4 MnM view 413 16.2.4.4.1 Key strengths 413 16.2.4.4.2 Strategic choices 413 16.2.4.4.3 Weaknesses and competitive threats 414 16.2.5 IBM 415 16.2.5.1 Business overview 415 16.2.5.2 Products/Solutions/Services offered 416 16.2.5.3 Recent developments 417 16.2.5.3.1 Product launches & enhancements 417 16.2.5.3.2 Deals 419 ? 16.2.5.4 MnM view 419 16.2.5.4.1 Key strengths 419 16.2.5.4.2 Strategic choices 419 16.2.5.4.3 Weaknesses and competitive threats 420 16.2.6 AIRBUS 421 16.2.6.1 Business overview 421 16.2.6.2 Products/Solutions/Services offered 422 16.2.6.3 Recent developments 425 16.2.6.3.1 Product launches & enhancements 425 16.2.6.3.2 Deals 425 16.2.7 TRIMBLE 426 16.2.7.1 Business overview 426 16.2.7.2 Products/Solutions/Services offered 427 16.2.7.3 Recent developments 429 16.2.7.3.1 Product launches & enhancements 429 16.2.7.3.2 Deals 430 16.2.8 CALIPER CORPORATION 431 16.2.8.1 Business overview 431 16.2.8.2 Products/Solutions/Services offered 431 16.2.8.3 Recent developments 432 16.2.8.3.1 Product launches & enhancements 432 16.2.8.3.2 Deals 433 16.2.9 PRECISELY 434 16.2.9.1 Business overview 434 16.2.9.2 Products/Solutions/Services offered 434 16.2.9.3 Recent developments 435 16.2.9.3.1 Product launches & enhancements 435 16.2.9.3.2 Deals 436 16.2.10 ESRI 437 16.2.10.1 Business overview 437 16.2.10.2 Products/Solutions/Services offered 437 16.2.10.3 Recent developments 438 16.2.10.3.1 Product launches & enhancements 438 16.2.10.3.2 Deals 440 16.2.11 MICROSOFT 442 16.2.11.1 Business overview 442 16.2.11.2 Products/Solutions/Services offered 443 16.2.11.3 Recent developments 444 16.2.11.3.1 Product launches & enhancements 444 16.2.11.3.2 Deals 444 ? 16.2.12 BENTLEY SYSTEMS 446 16.2.12.1 Business overview 446 16.2.12.2 Products/Solutions/Services offered 447 16.2.12.3 Recent developments 448 16.2.12.3.1 Product launches 448 16.2.12.3.2 Deals 449 16.2.13 HERE TECHNOLOGIES 450 16.2.13.1 Business overview 450 16.2.13.2 Products/Solutions/Services offered 451 16.2.13.3 Recent developments 451 16.2.13.3.1 Product launches and enhancements 451 16.2.13.3.2 Deals 452 16.2.14 NV5 GEOSPATIAL 454 16.2.14.1 Business overview 454 16.2.14.2 Products/Solutions/Services offered 454 16.2.14.3 Recent developments 456 16.2.14.3.1 Product launches 456 16.2.15 TELEDYNE GEOSPATIAL 457 16.2.15.1 Business overview 457 16.2.15.2 Products/Solutions/Services offered 458 16.2.15.3 Recent developments 460 16.2.15.3.1 Product launches 460 16.2.15.3.2 Deals 460 16.2.16 RMSI 461 16.2.17 LANTERIS SPACE SYSTEMS 462 16.2.18 VANTOR 463 16.2.19 MAPLARGE 464 16.2.20 BAE SYSTEMS 465 16.2.21 GENERAL ELECTRIC 466 16.2.22 FUGRO 467 16.2.23 PLANET LABS 468 16.2.24 SBL 469 16.2.25 ECS 470 16.2.26 AWS 471 16.2.27 CGI 472 16.3 STARTUPS/SMES 473 16.3.1 VEXEL IMAGING 473 16.3.2 CAPELLA SPACE 473 16.3.3 EARTHDAILY ANALYTICS 474 16.3.4 MAPIDEA 475 16.3.5 GEOSPIN (EMA SMARTSERVICE) 475 16.3.6 SPARKGEO 476 16.3.7 CARTO 476 16.3.8 MAPBOX 477 16.3.9 BLUE SKY ANALYTICS 478 16.3.10 LATITUDO40 479 16.3.11 ECOPIA.AI 480 16.3.12 SPATIAL.AI 481 16.3.13 DISTA 482 16.3.14 EOS DATA ANALYTICS 483 16.3.15 MAGNASOFT 484 16.3.16 WHEROBOTS 485 16.3.17 OUSTER 486 16.3.18 GEOWGS84.AI 487 16.3.19 EUROPA TECHNOLOGIES 488 16.3.20 MAPULAR 489 17 RESEARCH METHODOLOGY 490 17.1 RESEARCH DATA 490 17.1.1 SECONDARY DATA 491 17.1.2 PRIMARY DATA 491 17.1.2.1 Breakup of primary profiles 492 17.1.2.2 Key industry insights 492 17.2 DATA TRIANGULATION 493 17.3 MARKET SIZE ESTIMATION 494 17.3.1 TOP-DOWN APPROACH 494 17.3.2 BOTTOM-UP APPROACH 494 17.4 MARKET FORECAST 498 17.5 RESEARCH ASSUMPTIONS 499 17.6 RESEARCH LIMITATIONS 501 18 ADJACENT AND RELATED MARKETS 502 18.1 INTRODUCTION 502 18.2 GEOSPATIAL IMAGERY ANALYTICS MARKET - GLOBAL FORECAST TO 2030 502 18.2.1 MARKET DEFINITION 502 18.2.2 MARKET OVERVIEW 502 18.2.2.1 Geospatial imagery analytics market, by offering 502 18.2.2.2 Geospatial imagery analytics market, by data modality 503 18.2.2.3 Geospatial imagery analytics market, by vertical 504 18.2.2.4 Geospatial imagery analytics market, by region 505 ? 18.3 LOCATION-BASED SERVICES (LBS) AND REAL-TIME LOCATION SYSTEMS (RTLS) MARKET ? GLOBAL FORECAST TO 2028 506 18.3.1 MARKET DEFINITION 506 18.3.2 MARKET OVERVIEW 507 18.3.2.1 LBS and RTLS Market, by offering 507 18.3.2.2 LBS and RTLS market, by location type 508 18.3.2.3 LBS and RTLS market, by application 509 18.3.2.4 LBS and RTLS market, by vertical 510 18.3.2.5 LBS and RTLS market, by region 511 19 APPENDIX 512 19.1 DISCUSSION GUIDE 512 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 517 19.3 CUSTOMIZATION OPTIONS 519 19.4 RELATED REPORTS 519 19.5 AUTHOR DETAILS 520 List of Tables/GraphsTABLE 1 INCLUSIONS AND EXCLUSIONS 49TABLE 2 US DOLLAR EXCHANGE RATE, 2019?2023 51 TABLE 3 IMPACT OF PORTER’S FIVE FORCES ON GEOSPATIAL INTELLIGENCE (GEOAI) MARKET 76 TABLE 4 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021?2030 79 TABLE 5 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: ROLE OF COMPANIES IN ECOSYSTEM 83 TABLE 6 AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYER, 2025 89 TABLE 7 AVERAGE SELLING PRICE OF SOFTWARE AND SERVICES, 2025 90 TABLE 8 IMPORT DATA FOR HS CODE 9015-COMPLIANT PRODUCTS, BY COUNTRY, 2020?2024 (USD MILLION) 92 TABLE 9 EXPORT DATA FOR HS CODE 9015, BY COUNTRY, 2020?2024 (USD MILLION) 93 TABLE 10 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET: LIST OF KEY CONFERENCES AND EVENTS, 2025?2026 94 TABLE 11 TARIFF/TRADE POLICY UPDATES (AUGUST?DECEMBER 2025) 101 TABLE 12 US ADJUSTED RECIPROCAL TARIFF RATES 101 TABLE 13 PATENTS FILED, 2016?2025 117 TABLE 14 LIST OF TOP PATENTS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, 2024?2025 118 TABLE 15 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 121 TABLE 16 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 122 TABLE 17 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 123 TABLE 18 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 123 TABLE 19 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 124 TABLE 20 GLOBAL INDUSTRY STANDARDS FOR GEOSPATIAL DATA FORMATS & ENCODING 130 TABLE 21 GLOBAL INDUSTRY STANDARDS FOR METADATA & CATALOGING 130 TABLE 22 GLOBAL INDUSTRY STANDARDS FOR COORDINATE REFERENCE SYSTEMS (CRS) & GEODETIC 130 TABLE 23 GLOBAL INDUSTRY STANDARDS FOR EARTH OBSERVATION (EO) & REMOTE SENSING 131 TABLE 24 GLOBAL INDUSTRY STANDARDS FOR GEOSPATIAL SECURITY, PRIVACY, & COMPLIANCE 131 TABLE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 134 TABLE 26 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 135 TABLE 27 UNMET NEEDS IN GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY INDUSTRY VERTICAL 137 TABLE 28 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 141 TABLE 29 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 141 TABLE 30 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE, 2020?2024 (USD MILLION) 142 TABLE 31 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE, 2025?2030 (USD MILLION) 142 TABLE 32 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 143 TABLE 33 SOFTWARE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 143 TABLE 34 GEOAI & ML PLATFORMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 144 TABLE 35 GEOAI & ML PLATFORMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 144 TABLE 36 GEOSPATIAL ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 146 TABLE 37 GEOSPATIAL ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 146 TABLE 38 TRADITIONAL GIS SOLUTIONS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 147 TABLE 39 TRADITIONAL GIS SOLUTIONS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 147 TABLE 40 LOCATION INTELLIGENCE (LI): GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 149 TABLE 41 LOCATION INTELLIGENCE (LI): GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 149 TABLE 42 DATA PROCESSING & ETL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 151 TABLE 43 DATA PROCESSING & ETL: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 152 TABLE 44 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE, 2020?2024 (USD MILLION) 153 TABLE 45 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY TYPE, 2025?2030 (USD MILLION) 154 TABLE 46 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 154 TABLE 47 GEOSPATIAL ACQUISITION SYSTEMS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 154 TABLE 48 SENSING & CAPTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 155 TABLE 49 SENSING & CAPTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 155 TABLE 50 POSITIONING & TRACKING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 157 TABLE 51 POSITIONING & TRACKING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 157 TABLE 52 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICES, 2020?2024 (USD MILLION) 159 TABLE 53 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICES, 2025?2030 (USD MILLION) 159 TABLE 54 SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 159 TABLE 55 SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 159 TABLE 56 CORE SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 160 TABLE 57 CORE SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 160 TABLE 58 MANAGED SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 162 TABLE 59 MANAGED SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 163 TABLE 60 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 166 TABLE 61 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 166 TABLE 62 VECTOR & GIS ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 167 TABLE 63 VECTOR & GIS ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 167 TABLE 64 RASTER & IMAGERY ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 169 TABLE 65 RASTER & IMAGERY ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 169 TABLE 66 STREAMING & REAL-TIME ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 171 TABLE 67 STREAMING & REAL-TIME ANALYTICS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 171 TABLE 68 GEOVISUALIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 173 TABLE 69 GEOVISUALIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 173 TABLE 70 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 177 TABLE 71 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 177 TABLE 72 IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 178 TABLE 73 IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 178 TABLE 74 NON-IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 180 TABLE 75 NON-IMAGERY DATA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 180 TABLE 76 GEOTEMPORAL & FUSION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 182 TABLE 77 GEOTEMPORAL & FUSION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 182 TABLE 78 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 186 TABLE 79 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 187 TABLE 80 ASSET MONITORING & MANAGEMENT: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 188 TABLE 81 ASSET MONITORING & MANAGEMENT: GEOSPATIAL INTELLIGENCE (GEOAI), BY REGION, 2025?2030 (USD MILLION) 188 TABLE 82 RISK ASSESSMENT & MODELING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 189 TABLE 83 RISK ASSESSMENT & MODELING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 189 TABLE 84 PRECISION AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 190 TABLE 85 PRECISION AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 190 TABLE 86 DISASTER MANAGEMENT & RESPONSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 191 TABLE 87 DISASTER MANAGEMENT & RESPONSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 191 TABLE 88 URBAN PLANNING & DIGITAL TWINS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 192 TABLE 89 URBAN PLANNING & DIGITAL TWINS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 192 TABLE 90 SURVEILLANCE & SECURITY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 193 TABLE 91 SURVEILLANCE & SECURITY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 193 TABLE 92 SUPPLY CHAIN & ROUTE OPTIMIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 194 TABLE 93 SUPPLY CHAIN & ROUTE OPTIMIZATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 194 TABLE 94 ENVIRONMENTAL & CLIMATE MONITORING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 195 TABLE 95 ENVIRONMENTAL & CLIMATE MONITORING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 195 TABLE 96 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 198 TABLE 97 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 199 TABLE 98 ENERGY & UTILITIES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 200 TABLE 99 ENERGY & UTILITIES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 200 TABLE 100 GOVERNMENT & DEFENSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 201 TABLE 101 GOVERNMENT & DEFENSE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 201 TABLE 102 TELECOMMUNICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 202 TABLE 103 TELECOMMUNICATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 202 TABLE 104 INSURANCE & FINANCIAL SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 203 TABLE 105 INSURANCE & FINANCIAL SERVICES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 203 TABLE 106 REAL ESTATE & CONSTRUCTION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 204 TABLE 107 REAL ESTATE & CONSTRUCTION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 204 TABLE 108 AUTOMOTIVE & TRANSPORTATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 205 TABLE 109 AUTOMOTIVE & TRANSPORTATION: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 205 TABLE 110 HEALTHCARE & LIFE SCIENCES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 206 TABLE 111 HEALTHCARE & LIFE SCIENCES: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 206 TABLE 112 MINING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 207 TABLE 113 MINING: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 207 TABLE 114 AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 208 TABLE 115 AGRICULTURE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 208 TABLE 116 OTHER VERTICALS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 210 TABLE 117 OTHER VERTICALS: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 210 TABLE 118 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2020?2024 (USD MILLION) 213 TABLE 119 GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY REGION, 2025?2030 (USD MILLION) 213 TABLE 120 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 216 TABLE 121 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 216 TABLE 122 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 216 TABLE 123 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 216 TABLE 124 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 217 TABLE 125 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 217 TABLE 126 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 217 TABLE 127 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 217 TABLE 128 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 218 TABLE 129 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 218 TABLE 130 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 218 TABLE 131 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 218 TABLE 132 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 219 TABLE 133 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 219 TABLE 134 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 220 TABLE 135 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 220 TABLE 136 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2020?2024 (USD MILLION) 220 TABLE 137 NORTH AMERICA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2025?2030 (USD MILLION) 221 TABLE 138 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 221 TABLE 139 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 222 TABLE 140 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 222 TABLE 141 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 222 TABLE 142 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 222 TABLE 143 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 223 TABLE 144 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 223 TABLE 145 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 223 TABLE 146 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 223 TABLE 147 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 224 TABLE 148 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 224 TABLE 149 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 224 TABLE 150 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 225 TABLE 151 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 225 TABLE 152 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 226 TABLE 153 US: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 226 TABLE 154 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 227 TABLE 155 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 227 TABLE 156 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 227 TABLE 157 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 228 TABLE 158 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 228 TABLE 159 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 228 TABLE 160 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 228 TABLE 161 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 229 TABLE 162 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 229 TABLE 163 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 229 TABLE 164 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 229 TABLE 165 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 230 TABLE 166 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 230 TABLE 167 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 230 TABLE 168 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 231 TABLE 169 CANADA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 231 TABLE 170 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 233 TABLE 171 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 233 TABLE 172 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 233 TABLE 173 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 234 TABLE 174 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 234 TABLE 175 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 234 TABLE 176 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 234 TABLE 177 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 235 TABLE 178 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 235 TABLE 179 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 235 TABLE 180 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 235 TABLE 181 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 236 TABLE 182 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 236 TABLE 183 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 236 TABLE 184 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 237 TABLE 185 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 237 TABLE 186 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2020?2024 (USD MILLION) 238 TABLE 187 EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2025?2030 (USD MILLION) 238 TABLE 188 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 239 TABLE 189 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 239 TABLE 190 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 239 TABLE 191 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 240 TABLE 192 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 240 TABLE 193 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 240 TABLE 194 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 240 TABLE 195 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 241 TABLE 196 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 241 TABLE 197 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 241 TABLE 198 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 241 TABLE 199 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 242 TABLE 200 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 242 TABLE 201 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 242 TABLE 202 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 243 TABLE 203 UK: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 243 TABLE 204 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 244 TABLE 205 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 244 TABLE 206 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 245 TABLE 207 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 245 TABLE 208 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 245 TABLE 209 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 245 TABLE 210 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 246 TABLE 211 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 246 TABLE 212 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 246 TABLE 213 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 246 TABLE 214 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 247 TABLE 215 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 247 TABLE 216 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 247 TABLE 217 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 248 TABLE 218 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 248 TABLE 219 GERMANY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 249 TABLE 220 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 250 TABLE 221 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 250 TABLE 222 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 250 TABLE 223 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 250 TABLE 224 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 251 TABLE 225 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 251 TABLE 226 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 251 TABLE 227 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 251 TABLE 228 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 252 TABLE 229 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 252 TABLE 230 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 252 TABLE 231 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 252 TABLE 232 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 253 TABLE 233 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 253 TABLE 234 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 254 TABLE 235 FRANCE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 254 TABLE 236 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 255 TABLE 237 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 255 TABLE 238 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 256 TABLE 239 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 256 TABLE 240 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 256 TABLE 241 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 256 TABLE 242 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 257 TABLE 243 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 257 TABLE 244 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 257 TABLE 245 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 257 TABLE 246 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 258 TABLE 247 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 258 TABLE 248 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 258 TABLE 249 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 259 TABLE 250 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 259 TABLE 251 ITALY: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 260 TABLE 252 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 261 TABLE 253 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 261 TABLE 254 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 262 TABLE 255 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 262 TABLE 256 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 262 TABLE 257 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 262 TABLE 258 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 263 TABLE 259 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 263 TABLE 260 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 263 TABLE 261 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 263 TABLE 262 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 264 TABLE 263 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 264 TABLE 264 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 264 TABLE 265 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 265 TABLE 266 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 265 TABLE 267 REST OF EUROPE: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 266 TABLE 268 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 268 TABLE 269 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 268 TABLE 270 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 268 TABLE 271 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 268 TABLE 272 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 269 TABLE 273 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 269 TABLE 274 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 269 TABLE 275 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 269 TABLE 276 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 270 TABLE 277 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 270 TABLE 278 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 270 TABLE 279 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 270 TABLE 280 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 271 TABLE 281 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 271 TABLE 282 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 272 TABLE 283 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 272 TABLE 284 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2020?2024 (USD MILLION) 273 TABLE 285 ASIA PACIFIC: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY COUNTRY, 2025?2030 (USD MILLION) 273 TABLE 286 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 274 TABLE 287 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 274 TABLE 288 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 275 TABLE 289 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 275 TABLE 290 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 275 TABLE 291 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 275 TABLE 292 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 276 TABLE 293 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 276 TABLE 294 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 276 TABLE 295 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 276 TABLE 296 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 277 TABLE 297 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2025?2030 (USD MILLION) 277 TABLE 298 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2020?2024 (USD MILLION) 277 TABLE 299 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY APPLICATION, 2025?2030 (USD MILLION) 278 TABLE 300 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2020?2024 (USD MILLION) 278 TABLE 301 CHINA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY VERTICAL, 2025?2030 (USD MILLION) 279TABLE 302 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2020?2024 (USD MILLION) 280 TABLE 303 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY OFFERING, 2025?2030 (USD MILLION) 280 TABLE 304 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2020?2024 (USD MILLION) 280 TABLE 305 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SOFTWARE, 2025?2030 (USD MILLION) 281 TABLE 306 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2020?2024 USD MILLION) 281 TABLE 307 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY GEOSPATIAL ACQUISITION SYSTEM, 2025?2030 (USD MILLION) 281 TABLE 308 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2020?2024 USD MILLION) 281 TABLE 309 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY SERVICE, 2025?2030 (USD MILLION) 282 TABLE 310 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2020?2024 (USD MILLION) 282 TABLE 311 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY CORE TECHNOLOGY ARCHITECTURE, 2025?2030 (USD MILLION) 282 TABLE 312 INDIA: GEOSPATIAL INTELLIGENCE (GEOAI) MARKET, BY DATA TYPE, 2020?2024 (USD MILLION) 282 TABLE 313 INDIA: GEOSPATIAL INTELLIGENCE (GEO
ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。本レポートと同分野(通信・IT)の最新刊レポート
MarketsandMarkets社の Telecom & IT分野 での最新刊レポート
本レポートと同じKEY WORD(intelligence)の最新刊レポート
よくあるご質問MarketsandMarkets社はどのような調査会社ですか?マーケッツアンドマーケッツ(MarketsandMarkets)は通信、半導体、医療機器、エネルギーなど、幅広い市場に関する調査レポートを出版しています。また広範な市場を対象としたカスタム調査も行って... もっと見る 調査レポートの納品までの日数はどの程度ですか?在庫のあるものは速納となりますが、平均的には 3-4日と見て下さい。
注文の手続きはどのようになっていますか?1)お客様からの御問い合わせをいただきます。
お支払方法の方法はどのようになっていますか?納品と同時にデータリソース社よりお客様へ請求書(必要に応じて納品書も)を発送いたします。
データリソース社はどのような会社ですか?当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
|
|