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.
| Report Attribute | Specifications |
| Market size value in 2024 | USD 36.30 Bn |
| Revenue forecast in 2034 | USD 106.58 Bn |
| Growth rate CAGR | CAGR of 11.5% from 2025 to 2034 |
| Quantitative units | Representation of revenue in US$ Million, and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report coverage | The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
| Segments covered | Offering, Technology, Data Type, Vertical |
| Regional scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country scope | U.S.; Canada; U.K.; Germany; Japan; Brazil; Mexico; France; Italy; Spain; China; Japan; South Korea; Southeast Asia |
| 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) |
| Customization scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing and available payment methods | Explore pricing alternatives that are customized to your particular study requirements. |
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-
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
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.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
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.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.