Press release
Geospatial Analytics Market Will Surpass US$ 88.01 Billion at 10.9% CAGR Growth From 2025 to 2034
Geospatial Analytics Market
Market Explanation:
Geospatial analytics utilizes data from all kinds of technology, such as GPS, location sensors, social media, mobile devices, and satellite imagery, to structure data visualizations for comprehending occurrences and detecting trends in intricate relationships between people and places. The geo-documented data can be handled for almost any occurrence on Earth.
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Geospatial analytics appends timing and location to conventional kinds of data, and its supplementary context permits a more wholesome picture of events. Perspectives that might have been strayed in a huge spreadsheet are divulged in easy-to-identify visual motifs and images. These firms are capable of immediately processing massive aggregates of geographic and geometric data. This provides users the capacity to communicate with innumerable map points while observing real-time real-time imaging.
Trends and Opportunities of Market:
Industries such as retail, conveyance, and telecommunication use location-based services (LBS) for real-time steering, earmarked marketing, and framework maximization as businesses growingly support spatial data to improve decision-making and functional efficiency, propelling the geospatial analytics market forward.
The augmentation of high-clarity imagery, real-time geospatial feeds, and formless location data have generated a requirement for progressive analytics solutions competent in processing and translating intricate datasets. For instance, in 2024, Niantic declared the advancement of a large geospatial model (LGM), supporting AI-driven analysis of user-created scans to improve 3D mapping and real-world communications.
Leading Players Involved in Market:
The aggressive topography consists of global leaders and regional players targeting to seize market share through technological innovation, strategic collaborations, and geographic expansion. Leaders in the market are enumerated below:
• CSS Corp.
• Cybertech Systems and Software Ltd.
• Cyient
• Esri
• General Electric
• Genesys International Corporation
• GeoIQ
• Google LLC
• Hexagon India.
• Kentrix
• Maxar Technologies
• ML Infomap
• NIIT Technologies (Coforge)
• Precisely
• Rolta India Ltd
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Geospatial Analytics Industry Developments
• January 2024: Deloitte introduced a Geospatial and AI Platform for Scenario Planning, leveraging Google Earth and Vertex AI. The platform is designed to assist clients in tackling sustainability challenges by enhancing disaster response, optimizing urban planning, and providing deeper insights into land use. It also supports sustainable investment strategies.
• October 2024: Ghent University in Belgium established an international research center dedicated to advancing solutions for geospatial challenges. The center focuses on improving the spatial reasoning and analytical capabilities of artificial intelligence (AI) models.
Regional Outlook:
North America held the largest geospatial analytics market share due to the robust existence of technology-propelled industries, sizeable funding in geospatial framework, and premature acquisition of progressive analytics solutions.
Asia Pacific is the fastest-growing region due to speedy urbanization, infrastructure advancement, and the growing acquisition of smart city enterprises. Nations in the region are funding massively in geospatial technologies to enhance mishap flexibility, maximize land usage, and enhance public services.
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Market Segmentation:
By Component Outlook (Revenue, USD Billion, 2020-2034)
• Software
• Services
By Type Outlook (Revenue, USD Billion, 2020-2034)
• Surface & Field Analytics
• Network & Location Analytics
• Geo-Visualization
• Others
By Application Outlook (Revenue, USD Billion, 2020-2034)
• Surveying
• Medicine & Public Safety
• Military Intelligence
• Disaster Risk Reduction & Management
• Marketing Management
• Climate Change Adaption (CCA)
• Urban Planning
• Others
By Technology Outlook (Revenue, USD Billion, 2020-2034)
• Sensors & Scanning
• Global Navigation Satellite System (GNSS)
• GIS & Earth Observation
• ML & Advanced Analytics
By Data Type Outlook (Revenue, USD Billion, 2020- 2034)
• Raster Data
• Vector Data
• Geo-Temporal Data
• 3D Data
• Tabular Data
• Other Data Types
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