1.1 Study Objectives
    1.2 Market Definition
    1.3 Market Scope
    1.4 Currency Considered
    1.5 Stakeholders
    1.6 Summary of Changes

        1.6.1 Market Segmentation
        1.6.2 Inclusions and Exclusions
        1.6.3 Years Considered
 

    2.1 Introduction
    2.2 Market Dynamics

        2.2.1 Drivers
        2.2.2 Restraints
        2.2.3 Opportunities
        2.2.4 Challenges

            2.2.4.1 Growing adoption of location-based  services across
                    industries
            2.2.4.2 Technological advancements in   spatial data processing
            2.2.4.3 Rising investments in smart cities   and urban planning
            2.2.4.4 Increasing volume and   variety of geospatial data
            2.2.4.5 Substantial investment requirement
            2.2.4.6 Infrastructure limitations in   emerging markets
            2.2.4.7 Complexities in integration and  standardization of
                    geospatial data
            2.2.4.8 Transforming urban   planning and management
            2.2.4.9 Rising demand for autonomous vehicles  and smart
                    transportation systems
            2.2.4.10 Growing role in defense and   national security
            2.2.4.11 Balancing innovation with privacy,  security, and legal
                     frameworks
            2.2.4.12 Ensuring data quality and accuracy
            2.2.4.13 Addressing critical human capital shortage

    2.3 Evolution of Geospatial Analytics
    2.4 Ecosystem Analysis

        2.4.1 Geospatial Analytics Software Providers

            2.4.1.1 Geocoding & reverse geocoding  providers
            2.4.1.2 Spatial data integration & ETL providers
            2.4.1.3 Reporting & visualization providers
            2.4.1.4 Thematic mapping & spatial analysis  providers
            2.4.1.5 Location intelligence providers

        2.4.2 Geospatial Analytics Service Providers
        2.4.3 Cloud Hyperscalers
        2.4.4 Geospatial Analytics Technology Providers
        2.4.5 End Users

    2.5 Impact of Generative AI on Geospatial Analytics Market

        2.5.1 Top Use Cases and Market Potential

            2.5.1.1 Key Use Cases

                2.5.1.1.1 Synthetic geospatial   data generation
                2.5.1.1.2 Improved feature extraction  from imagery
                2.5.1.1.3 Simulating environmental  changes
                2.5.1.1.4 Enhanced geospatial   data fusion
                2.5.1.1.5 Automated anomaly detection
                2.5.1.1.6 Virtual reality and   simulation for training

    2.6 Supply Chain Analysis

        2.6.1 Planning & Designing
        2.6.2 Infrastructure Deployment
        2.6.3 System Integration
        2.6.4 Distributors/Resellers/Vars
        2.6.5 Verticals

    2.7 Technology Analysis

        2.7.1 Key Technologies

            2.7.1.1 Big Data Analytics

        2.7.2 Complementary Technologies

            2.7.2.1 Internet of Things
            2.7.2.2 Cloud Computing
            2.7.2.3 Blockchain
            2.7.2.4 Edge Computing

        2.7.3 Adjacent Technologies

            2.7.3.1 Augmented Reality & Virtual Reality
            2.7.3.2 Digital Twin
            2.7.3.3 Cybersecurity

    2.8 Geospatial Analytics Techniques

        2.8.1 Surface & Field Analytics
        2.8.2 Network & Location Analytics
        2.8.3 Geovisualization
        2.8.4 Geocomputation
        2.8.5 Other Types

    2.9 Stages in Geospatial Analytics

        2.9.1 Data Capture
        2.9.2 Data Management
        2.9.3 Geospatial Analytics and Modeling
        2.9.4 Visualization

    2.10 Business Models of Geospatial Analytics

        2.10.1 Data-as-a-Service
        2.10.2 Software-as-a-Service
        2.10.3 Platform-as-a-Service
        2.10.4 Analytics-as-a-Service
        2.10.5 Mapping-as-a-Service

    2.11 Data Sources in Geospatial Analytics

        2.11.1 Satellite Imagery
        2.11.2 Aerial Imagery
        2.11.3 GIS Data
        2.11.4 Crowd-Sourced Data

    2.12 Porter’s Five Forces Analysis

        2.12.1 Threat of New Entrants
        2.12.2 Threat of Substitutes
        2.12.3 Bargaining Power of Buyers
        2.12.4 Bargaining Power of Suppliers
        2.12.5 Intensity of Competitive Rivalry

    2.13 Key Conferences & Events, 2024–2025
    2.14 Trends/Disruptions Impacting Customer Business

        2.14.1 Trends/Disruptions Impacting Customer Busines
 

    3.1 Overview
    3.2 Key Players Strategies/Right to Win
    3.3 Revenue Analysis
    3.4 Market Share Analysis

        3.4.1 Market Ranking Analysis

    3.5 Product Comparative Analysis

        3.5.1 Product Comparative Analysis, By Offering

            3.5.1.1 Geospatial Analytics (Google)
            3.5.1.2 ArcGIS Spatial Analyst (Esri)
            3.5.1.3 Location Intelligence (TomTom)
            3.5.1.4 GeoMedia (Hexagon AB)
            3.5.1.5 Office Software (Trimble)

    3.6 Company Valuation and Financial Metrics
    3.7 Company Evaluation Matrix: Key Players, 2023

        3.7.1 Stars
        3.7.2 Emerging Leaders
        3.7.3 Pervasive Players
        3.7.4 Participants
        3.7.5 Company Footprint: Key Players, 2023

            3.7.5.1 Company Footprint
            3.7.5.2 Region Footprint
            3.7.5.3 Offering Footprint
            3.7.5.4 Technology Footprint
            3.7.5.5 Vertical Footprint

    3.8 Competitive Scenario and Trends

        3.8.1 Product Launches & Enhancements
        3.8.2 Deals