Global Geospatial Analytics Market Size, Share & Trends Analysis Report By Offering (Software, Services), Technology (Sensors & Scanning, Global Navigation Satellite System (GNSS), GIS & Earth Observation), Data Type (Raster Data, Vector Data, Geotemporal Data, 3D Data, Tabular Data, Other Data Types), Deployment Mode (Energy & Utilities, Government & Defence, Telecommunication, Insurance & Financial Services, Real Estate & Construction, Automotive & Transportation, Healthcare & Life Sciences, Mining, Agriculture, Other Verticals) By Region, And Segment Forecasts, 2025-2034

Report Id: 1641 Pages: 180 Last Updated: 16 May 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of the Geospatial Analytics Market-

Geospatial Analytics Market By Offering

  • Software
    • Geocoding & Reverse Geocoding
    • Spatial Data Integration & ETL
    • Reporting & Visualization
    • Thematic Mapping & Spatial Analysis
    • Location Intelligence
    • Other software types
  • Services
    • Professional services
    • Managed services

 geospatial

Geospatial Analytics Market By Technologies

  • Sensors & Scanning
    • LIDAR
    • RADAR
    • GPR/EML
  • Global Navigation Satellite System (GNSS)
  • GIS & Earth Observation

Geospatial Analytics Market By Data Type

  • Raster Data
  • Vector Data
  • Geotemporal Data
  • 3d Data
  • Tabular Data
  • Other Data Types

Geospatial Analytics Market By Vertical

  • Energy & Utilities
  • Government & Defense
  • Telecommunication
  • Insurance & Financial Services
  • Real Estate & Construction
  • Automotive & Transportation
  • Healthcare & Life Sciences
  • Mining
  • Agriculture
  • Other Verticals

Geospatial Analytics Market By Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Geospatial Analytics Market Snapshot

Chapter 4. Global Geospatial Analytics Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.9. Use/impact of AI on Geospatial Analytics Market Trends
4.10. Global Geospatial Analytics Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034

Chapter 5. Geospatial Analytics Market Segmentation 1: By Offering, Estimates & Trend Analysis
5.1. Market Share by Offering, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Offering:

5.2.1. Software

5.2.1.1. Geocoding & Reverse Geocoding
5.2.1.2. Spatial Data Integration & ETL
5.2.1.3. Reporting & Visualization
5.2.1.4. Thematic Mapping & Spatial Analysis
5.2.1.5. Location Intelligence
5.2.1.6. Other software types

5.2.2. Services

5.2.2.1. Professional services
5.2.2.2. Managed services

Chapter 6. Geospatial Analytics Market Segmentation 2: Technology, Estimates & Trend Analysis
6.1. Market Share by Technology, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:

6.2.1. Sensors & Scanning

6.2.1.1. LIDAR
6.2.1.2. RADAR
6.2.1.3. GPR/EML

6.2.2. Global Navigation Satellite System (GNSS)
6.2.3. GIS & Earth Observation

Chapter 7. Geospatial Analytics Market Segmentation 3: By Data Type, Estimates & Trend Analysis
7.1. Market Share by Data Type, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Data Type:

7.2.1. Raster Data
7.2.2. Vector Data
7.2.3. Geotemporal Data
7.2.4. 3d Data
7.2.5. Tabular Data
7.2.6. Other Data Types

Chapter 8. Geospatial Analytics Market Segmentation 3: By Vertical, Estimates & Trend Analysis
8.1. Market Share by Vertical, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Vertical:

8.2.1. Energy & Utilities
8.2.2. Government & Defense
8.2.3. Telecommunication
8.2.4. Insurance & Financial Services
8.2.5. Real Estate & Construction
8.2.6. Automotive & Transportation
8.2.7. Healthcare & Life Sciences
8.2.8. Mining
8.2.9. Agriculture
8.2.10. Other Verticals

Chapter 9. Geospatial Analytics Market Segmentation 6: Regional Estimates & Trend Analysis
9.1. Global Geospatial Analytics Market, Regional Snapshot 2024 & 2034

9.2. North America
9.2.1. North America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.2.3. North America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.2.4. North America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2021-2034
9.2.5. North America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2021-2034

9.3. Europe
9.3.1. Europe Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.3.3. Europe Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.3.4. Europe Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2021-2034
9.3.5. Europe Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2021-2034

9.4. Asia Pacific
9.4.1. Asia Pacific Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.4.3. Asia Pacific Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.4.4. Asia Pacific Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2021-2034
9.4.5. Asia Pacific Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2021-2034

9.5. Latin America
9.5.1. Latin America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.5.3. Latin America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.5.4. Latin America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2021-2034
9.5.5. Latin America Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2021-2034

9.6. Middle East & Africa
9.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.6.3. Middle East & Africa Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.6.4. Middle East & Africa Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Data Type 2021-2034
9.6.5. Middle East & Africa Geospatial Analytics Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2021-2034

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Bentley Systems

10.2.1.1. Business Overview
10.2.1.2. Key Offering/Service Overview
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy

10.2.2. Blue Marble Geographic
10.2.3. Caliper Corporation (US)
10.2.4. CARTO (US)
10.2.5. Descartes Lab (US)
10.2.6. eSpatial (Ireland)
10.2.7. Esri
10.2.8. Fugro
10.2.9. General Electric
10.2.10. Geomatic Consulting International (Vietnam)
10.2.11. Geospin (Germany)
10.2.12. Geoviet Consulting (Vietnam)
10.2.13. GIS Co. Ltd. (Thailand)
10.2.14. Google
10.2.15. HERE Technologies (Netherlands)
10.2.16. HexagonAB
10.2.17. Imago Global (Mynamar)
10.2.18. Mandalay Technology (Myanmar)
10.2.19. Mapidea (Portugal)
10.2.20. Maplarge
10.2.21. Maplarge (US)
10.2.22. Mappointasia (Thailand)
10.2.23. Maxar Technologies
10.2.24. Orbica (New Zealand)
10.2.25. Orbital Insights (US)
10.2.26. Pasco Corporation (Japan)
10.2.27. Precisely
10.2.28. Remote Technologies (US)
10.2.29. RMSI
10.2.30. Skymap Global (Singapore)
10.2.31. Sparkgeo (Canada)
10.2.32. Spatial
10.2.33. Suntac Technologies (Myanmar)
10.2.34. TomTom (Netherlands)
10.2.35. Trimble
10.2.36. UBIMO(US)
10.2.37. Vegastar Technology (Vietnam)

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Geospatial Analytics Market Size is valued at USD 36.30 billion in 2024 and is predicted to reach USD 106.58 billion by the year 2034

Geospatial Analytics Market is expected to grow at a 11.5% CAGR during the forecast period for 2025-2034

Esri (US), Precisely (US), Caliper Corporation (US), Blue Marble Geographic (US), Google (US), eSpatial (Ireland), HexagonAB (Switzerland), Others

Geospatial analytics market is segmented based on Offering, Technology, Data Type, Vertical.

North American region is leading the Geospatial Analytics Market.

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