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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

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

 

 

出版社
MarketsandMarkets
マーケッツアンドマーケッツ
出版年月
2026年1月12日
電子版価格
US$4,950
シングルユーザーライセンス
ライセンス・価格情報/注文方法はこちら
納期
通常2営業日以内
ページ数
521
言語
英語

英語原文をAIを使って翻訳しています。


 

Summary

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.

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.

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Table of Contents

1 INTRODUCTION 48
1.1 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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

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List of Tables/Graphs

TABLE 1 INCLUSIONS AND EXCLUSIONS 49
TABLE 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

 

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