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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 at a 11.5% CAGR during the forecast period for 2025-2034.
Key Industry Insights & Findings from the Report:
The global geospatial analytics market is experiencing significant growth due to the increasing adoption of location-based technology across various industries. Geospatial analytics processes, stores, and analyses geospatial data, including location, elevation, and other geographic information, to gain insights and make informed decisions. Technological developments, the increasing adoption of cloud computing and big data analytics, and the growing demand for geospatial analytics in the defense and intelligence sectors primarily drive the growth in the market. The rising demand for geospatial analytics in transportation and logistics, natural resource management, and urban planning is expected to develop significant growth opportunities for the market in the coming years.
However, the market is expected to face challenges such as the lack of skilled manpower, the high cost of geospatial analytics software and hardware, and data privacy concerns.
The geospatial analytics market is segmented based on offering, technology, data type, vertical. Based on offering, the market is categorized into software and solution. Software is sub segmented into geocoding & reverse geocoding, spatial data integration & ETL, reporting & visualization, thematic mapping & spatial analysis, location intelligence, other software types. Services is sub segmented into professional services and managed services. The market is segmented by technology: sensors & scanning, global navigation satellite system (GNSS), GIS & earth observation. Sensors & scanning is sub segmented into LIDAR, RADAR, GPR/EML. By data type, the market is segmented into raster data, vector data, geotemporal data, 3d Data, tabular data, other data types. By Vertical, the market is categorized into energy & utilities, government & defence, telecommunication, insurance & financial services, real estate & construction, automotive & transportation, healthcare & life sciences, mining, agriculture, other verticals.
The raster data segment is the principal growth driver of the geospatial analytics market, providing pixel-level imagery from satellites, aerial sensors, and drones that facilitates important applications like urban planning, smart city development, environmental monitoring, disaster management, and precision agriculture. Increasing demand for high-resolution imagery and sophisticated visualization tools improves decision-making and spatial analysis. This expansion is also driven by the development of remote sensing, the spread of IoT devices, and the convergence of AI and machine learning, all of which rely on raster data to derive actionable insights. With urbanization and smart city projects growing, the demand for timely and accurate raster data continues to drive market demand.
The energy & utilities sector is one of the highest-growth geospatial market verticals due to demand from effective management of resources, infrastructure monitoring, and enablement for smart grid initiatives and renewable power initiatives. Companies use geospatial solutions for managing assets, pipeline monitoring, risk evaluation, and maintenance planning. They support site selection, environmental surveys, and disaster management—essentially critical for taking the industry green. Increasing investments in infrastructure and smart cities also add to demand, ensuring that this category is a major driver of market growth.
The North American geospatial analytics market is expected to register the highest market share in revenue shortly. The region is home to several technological firms, and these firms are using artificial intelligence and machine learning more and more. Government rules that facilitate seamless geospatial data sharing between private businesses also aid in expanding this market.
Additionally, North America holds the largest share of the geospatial analytics market thanks to the expansion of the oil and gas industry, the creation of 5G infrastructure, the rise in demand for connected vehicles, the presence of international players in the automotive sector, and the region's robust healthcare infrastructure. Besides, Asia Pacific is also anticipated to play a significant role in driving the market's growth, driven by the high adoption of developed technologies and the growing demand for location-based data analysis across various industries.
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Report Attribute |
Specifications |
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Market size value in 2024 |
USD 36.30 Bn |
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Revenue forecast in 2034 |
USD 106.58 Bn |
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Growth rate CAGR |
CAGR of 11.5% from 2025 to 2034 |
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Quantitative units |
Representation of revenue in US$ Million, and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report coverage |
The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
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Segments covered |
Offering, Technology, Data Type, Vertical |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country scope |
U.S.; Canada; U.K.; Germany; Japan; Brazil; Mexico; France; Italy; Spain; China; Japan; South Korea; Southeast Asia |
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Competitive Landscape |
Esri (US), Precisely (US), Caliper Corporation (US), Blue Marble Geographic (US), Google (US), eSpatial (Ireland), HexagonAB (Switzerland), TomTom (Netherlands), Trimble (US), Maxar Technologies (US), RMSI (India), Maplarge (US), General Electric (US), Bentley Systems (US), Fugro (Netherlands), Orbital Insights (US), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Orbica (New Zealand), Descartes Lab (US), Skymap Global (Singapore), Remote Technologies (US), CARTO (US), UBIMO(US), Pasco Corporation (Japan), Geoviet Consulting (Vietnam), Mandalay Technology (Myanmar), GIS Co. Ltd. (Thailand), Suntac Technologies (Myanmar), Geomatic Consulting International (Vietnam), Imago Global (Mynamar), Mappointasia (Thailand), Vegastar Technology (Vietnam), HERE Technologies (Netherlands) |
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Customization scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and available payment methods |
Explore pricing alternatives that are customized to your particular study requirements. |
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)
Geospatial Analytics Market By Offering
Geospatial Analytics Market By Technologies
Geospatial Analytics Market By Data Type
Geospatial Analytics Market By Vertical
Geospatial Analytics Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
