Press release
Evolving Market Trends In The Geospatial Analytics AI Industry: Integration Of AI And Geospatial Platforms For Enhanced Scenario Planning And Monitoring
Geospatial Analytics AI
What Is the Expected Geospatial Analytics AI Market Size During the Forecast Period?
In recent times, there has been an exponential expansion in the geospatial analytics AI market, escalating from a hefty $0.11 billion in 2024 to a marvellous $0.14 billion in 2025. This growth corresponds to a compound annual growth rate (CAGR) of 31.2%. The surge during the historical period is due to the burgeoning use of AI across different industries, heightened need for surveillance and monitoring, swift incorporation of AI solutions, developments in machine learning, and increased demand for efficient operations.
In the next few years, an immense surge in size is anticipated for the geospatial analytics AI market. Predicted to reach $0.42 billion by 2029, it is set to experience a substantial compound annual growth rate (CAGR) of 31.0%. This forecasted expansion during the outlook period is mainly ascribed to predicted land use alterations, urbanization growth, escalation in private farming operations, far-reaching applications of AI, as well as advancements in remote sensing technology. Notable trends for the predicted period include heightened utilization of ai and ml, the advent of cloud-based platforms, broader application areas, boosted decision making, and enriched measures for disaster readiness and reaction.
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What Are the High-Growth Segments in the Geospatial Analytics AI Market?
The geospatial analytics ai market covered in this report is segmented -
1) By Data Source: Navigation Satellite System (GNSS), Remote Sensing, Geo Tagging, Other Data Sources
2) By Solution: Hardware, Software, Services
3) By Deployment: Cloud, On-Premises
4) By Application: Real Estate, Sales And marketing, Coastal Application, Agriculture, Fraud Detection, Surveying, Hazard Assessment, Natural Resource Management, Transportation And Logistics, National Labs, Other Applications
Subsegments:
1) By Navigation Satellite System (GNSS): Global Positioning System (GPS), Glonass, Galileo, BeiDou, Other GNSS Systems
2) By Remote Sensing: Satellite-based Remote Sensing, Aerial-Based Remote Sensing, LiDAR (Light Detection And Ranging), Hyperspectral Imaging, Radar-Based Remote Sensing
3) By Geo Tagging: Social Media Geotagging, IoT Device Geotagging, Mobile Applications Geotagging
4) By Other Data Sources: Survey Data, Public Data Repositories, Crowd-Sourced Data, Geospatial Data From Drones
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What Key Drivers Are Expected to Influence Future Geospatial Analytics AI Market Growth?
The anticipated surge in internet accessibility is poised to fuel the expansion of the geospatial analytics AI market. The term "internet penetration" pertains to the ratio of individuals or a specified demographic that can connect to the internet. When a particular percentage of the public or a defined demographic group secures internet access, it encourages comprehensive connectivity, knowledge acquisition, communication, and economic possibilities. Geospatial analytics AI leverages internet penetration to examine and decipher spatial internet usage patterns, facilitating precise interventions and infrastructure enhancement aimed at improving connection in underprivileged areas and refining resource distribution for improved digital inclusion. For example, a report by the International Telecommunication Union (ITU), a United Nations institution that is based in Switzerland, stated that in November 2022, the total number of individuals with access to the internet worldwide was approximately 5.3 billion, indicating 66% of the global population in 2022, a rise of 6.1% from 2021. Thus, the growth in internet penetration is projected to stimulate the expansion of the geospatial analytics AI market.
Which Companies Hold the Largest Share Across Different Geospatial Analytics AI Market Segments?
Major companies operating in the geospatial analytics AI market are Alphabet Inc., Microsoft Corporation, Amazon.com Inc., Intel Corporation, IBM Corporation, Oracle Corporation, SAP SE, Presto Automation Inc., NVIDIA Corporation, Baidu Inc., Hexagon AB, Trimble Inc., DigitalGlobe Inc., Environmental Systems Research Institute Inc., Bentley Systems Inc., Databricks Inc., CE Info Systems Ltd., Dataiku Inc., Climate X, Genesys International Corporation Ltd., Geoblink SL, L3Harris Geospatial Solutions Inc., Climate X Ltd., Chloris Geospatial Inc., Skydweller Aero Inc.
What Are the Latest Developing Trends in the Geospatial Analytics AI Market?
Leading firms in the geospatial analytics AI market are pushing technology boundaries, creating sophisticated platforms combining geospatial technology and artificial intelligence. These advancements are aimed at scenario planning and monitoring, providing these companies with a competitive advantage. The merging of AI capabilities in the geospatial tech enables complex data analysis and interpretation relating to geographical locations, leading to the generation of rich insights from large volumes of geospatial data. An example of this saw Deloitte Touche Tohmatsu Limited, a UK-based professional services corporation, in January 2024, launch an innovative platform. This was powered by Google Cloud and used Vertex AI's generative AI technology. This service enhanced client capabilities in disaster response, infrastructure planning, and urban planning through insights on land utilization, promoting sustainable decision-making.
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What Are the Emerging Geographies for The Geospatial Analytics AI Market Growth?
Asia-Pacific was the largest region in the geospatial analytics AI market in 2024. The regions covered in the geospatial analytics ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Geospatial Analytics AI Market?
2. What is the CAGR expected in the Geospatial Analytics AI Market?
3. What Are the Key Innovations Transforming the Geospatial Analytics AI Industry?
4. Which Region Is Leading the Geospatial Analytics AI Market?
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