The global geospatial analytics market size was estimated at USD 114.32 billion in 2024 and is projected to reach USD 226.53 billion by 2030, growing at a CAGR of 11.3% from 2025 to 2030. This growth is largely fueled by the increasing use of location-based services across diverse industries such as retail, transportation, and logistics. Companies are utilizing geospatial data to streamline supply chains, target customers more effectively, and boost operational efficiency.

The momentum is further accelerated by the development of smart cities and urban planning projects, where governments and municipalities rely on geospatial analytics to manage infrastructure, track environmental changes, and enhance public safety measures. The integration of geospatial analytics with advanced technologies like artificial intelligence (AI) and big data is also a major growth driver. By combining spatial data with machine learning, organizations can derive deeper insights and make more precise predictions. This capability is especially valuable in sectors like agriculture for precision farming, defense for surveillance and threat detection, and disaster management for early warning and impact analysis. Real-time analysis of vast amounts of satellite imagery, sensor inputs, and geotagged data is transforming decision-making processes.

Additionally, strong government support through policies and investments is propelling the market forward. Many countries are channeling funds into smart city projects, infrastructure expansion, and environmental monitoring programs that heavily depend on geospatial technologies. These efforts demand sophisticated mapping and spatial analysis tools to efficiently plan and implement large-scale initiatives. For example, Singapore’s Smart Nation 2.0 program (2024-2025) utilizes geospatial analytics for highly accurate urban planning, real-time IoT-enabled city management, and AI-driven decision-making. By incorporating technologies such as 3D digital twins, satellite data, and LiDAR mapping, Singapore optimizes traffic flow, disaster preparedness, and sustainability goals. Such initiatives significantly boost demand for precise geospatial data, cloud-based spatial platforms, and AI-powered location intelligence, contributing to the expansion of the geospatial analytics market.

Key Market Trends & Insights:

• In 2024, the North American region led the geospatial analytics market by capturing the largest share, which was more than 34.0% of the global market. Within this region, the United States is projected to experience substantial growth, with its geospatial analytics market expanding at a compound annual growth rate (CAGR) of 8.9% between 2025 and 2030.

• When examining the market by component, the software segment emerged as the dominant contributor, holding a significant revenue share exceeding 64.0% in 2024. This indicates the critical role that software solutions play in enabling geospatial data analysis and interpretation.

• By type, the surface and field analytics segment stood out as the leading category, accounting for more than 56.0% of the market revenue in 2024. This segment focuses on analyzing data related to physical terrains and fields, which is crucial for applications like agriculture, environmental monitoring, and urban planning.

• In terms of application, the surveying segment was the most prominent, contributing over 23.0% of the market’s revenue share in 2024. Surveying involves the collection and analysis of geospatial data to map and measure land and infrastructure, which is essential for construction, real estate, and land management projects.

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Market Size & Forecast:

• 2024 Market Size: USD 114.32 Billion

• 2030 Projected Market Size: USD 226.53 Billion

• CAGR (2025-2030): 11.3%

• North America: Largest market in 2024

Key Companies & Market Share Insights:

Key players in the geospatial analytics industry include Esri, Google, Trimble Inc., SAP SE, BENTLEY SYSTEMS, INCORPORATED, and Fugro. These companies are actively pursuing various strategic initiatives such as developing new products, forming partnerships and collaborations, and signing agreements to strengthen their competitive positions within the market. Here are some notable examples of these initiatives:

In April 2025, BENTLEY SYSTEMS, INCORPORATED announced a collaboration with Google aimed at improving infrastructure management through advanced asset analytics. This partnership integrates Google’s Imagery Insights, powered by Google Street View, Vertex AI, and Blyncsy, to enable quick detection and evaluation of roadway conditions. The enhanced capabilities are designed to assist transportation departments and their engineering partners in more efficiently monitoring and assessing transportation infrastructure by identifying problematic areas and tracking changes in asset conditions over time.

In February 2025, Esri launched the Content Store for ArcGIS, a web application intended to simplify the process of acquiring and integrating commercial satellite imagery. Developed in partnership with SkyWatch, this application offers users seamless access to high-resolution imagery from leading providers like Maxar. By consolidating services that previously required interaction with multiple vendors and manual data handling, the Content Store improves operational efficiency and streamlines the imagery procurement process for organizations.

Also in February 2025, Fugro announced its acquisition of EOMAP GmbH & Co. KG, a German company specializing in satellite-based mapping and monitoring of marine and freshwater environments. This acquisition significantly strengthens Fugro’s capabilities by integrating Earth Observation technology into its existing mapping solutions, marking an important milestone in expanding the company’s presence within the global water sector.

Key Players

• Alteryx

• Autodesk

• BENTLEY SYSTEMS, INCORPORATED

• ESRI

• Foursquare

• Fugro

• GE Vernova

• Google

• Hexagon AB

• Mapbox

• Maxar Technologies

• SAP SE

• Trimble Inc.

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Conclusion:

The geospatial analytics market is experiencing strong growth driven by increasing adoption of location-based services across multiple industries, technological advancements like AI and big data integration, and rising investments in smart city initiatives. The market is benefiting from enhanced data accuracy, improved decision-making capabilities, and expanding applications in areas such as urban planning, agriculture, defense, and disaster management. Government support and strategic collaborations among key players further propel market expansion.