Geospatial Analytics Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.
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The Global Geospatial Analytics Market size is projected to reach with a CAGR of 12.8% over the forecast period 2024-2031.
List of the Key Players in the Geospatial Analytics Market:
Microsoft, Google, General Electric, SAP SE, Salesforce, Precisely, Oracle Corporation, RMSI, OmniSci, Inc., Maxar Technologies Inc., WS Atkins Limited, Hexagon AB, TomTom and Trimble Inc.
Industry Development:
In July 2022, Esri, a leading GIS developer, introduced GeoAnalytics Engine, a GIS software equipped with AI and advanced analytics.
In August 2022, the Indonesian government implemented a GIS system to support development efforts for its new capital city project.
Growth Forecast Projected:
The Global Geospatial Analytics Market is anticipated to rise at a considerable rate during the forecast period, between 2024 and 2031. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global Geospatial Analytics Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
Segment Covered in the Geospatial Analytics Market:
By Type: Surface and Field Analytics, Geovisualization, Network Analysis, Artificial Neural Networks (ANN), Others
By Technology: Remote Sensing, GPS, GIS, Others
By Solutions: Geocoding and Reverse Geocoding, Reporting and Visualization, Thematic Mapping, and Spatial Analysis, Data Integration, and ETL, Others
By Application: Surveying, Disaster Risk Reduction, and Management, Medicine and Public Safety, Climate Change Adaptation, Predictive Asset Management, Others
By End-User: Agriculture, Defense, and Intelligence, Utility and Communication, Automotive, Government, Travel and Logistics, Others
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