Geospatial Analytics AI Market
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How Large Will the Geospatial Analytics AI Market Size By 2025?
Recent years have witnessed an exponential surge in the scale of the geospatial analytics AI market. Projected to escalate from $0.11 billion in 2024 to $0.14 billion in 2025, the market is expected to enjoy a compound annual growth rate (CAGR) of 30.3%. The notable growth during the historical phase can be linked primarily to the expansion of AI across several industries, a growing need for supervision and tracking, swift adoption of AI solutions, improvements in machine learning, and an increasing demand for streamlined operations.
How Big Is the Geospatial Analytics AI Market Size Expected to Grow by 2029?
The market size for AI in geospatial analytics is expected to witness a significant surge in the coming years, growing to a substantial $0.41 billion by 2029, with a compound annual growth rate (CAGR) of 30.8%. Factors contributing to this growth during the projection period include predictions around evolving land use, urban growth, increase in proprietary agricultural methodologies, the revolutionary application of AI, and advancements in remote sensing technologies. Key trends forecasted for this period also include a heightened utilisation of AI and machine learning, the rise of cloud-based platforms, broader range of applications, bettered decision-making processes, and improved readiness and response during disasters.
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Which Key Market Drivers Powering Geospatial Analytics AI Market Expansion and Growth?
The anticipated increase in access to the internet is likely to stimulate the expansion of the geospatial analytics AI market. The term internet penetration pertains to the proportion of a community or a particular group that has internet connectivity. It happens when a select population fraction or a certain demographic group acquires internet accessibility, facilitating extensive connectivity, information attainment, communication, and financial prospects. Geospatial analytics AI is utilized in internet penetration to comprehend and analyze spatial patterns of internet utilization, enabling targeted initiatives and infrastructure enhancements to boost connectivity in underprivileged regions and optimize resource distribution for improved digital inclusion. For example, a report published by the International Telecommunication Union (ITU), a Switzerland-based United Nations entity, in November 2022 mentioned that the global internet penetration attained an estimated 5.3 billion individuals, constituting 66% of the global population in 2022, marking a growth of 6.1% from 2021. Hence, the surge in internet penetration is projected to drive the geospatial analytics AI market’s expansion.
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Which Fast-Growing Trends Are Poised to Disrupt the Geospatial Analytics AI Market?
Leading corporations in the geospatial analytics AI market are innovating new technologies, especially in the creation of geospatial and AI platforms. This is particualrly instrumental for scenario planning and monitoring – a strategic move to maintain their competitiveness. The geospatial and AI platforms for scenario planning and monitoring harness the potency of geospatial technology and artificial intelligence (AI) to scrutinize and draw interpretations of data derived from geographical areas. The introduction of AI enhances computational strength and offers predictive capacity, facilitating the obtainment of invaluable insights from the extensive scope of geospatial data. As an illustration, Deloitte Touche Tohmatsu Limited, originating from the UK, launched a geospatial and AI platform powered by Google Cloud using generative AI technology from Vertex AI in January 2024. This platform facilitates the clients to refine their planning methods for calamity response, infrastructural progress, and urban design by offering insights on land utilization, eventually fostering more sustainable decision-making.
What Are the Emerging Segments in the Geospatial Analytics AI Market?
The geospatial analytics aimarket 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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Who Are the Global Leaders in the Geospatial Analytics AI Market?
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.
Which are the Top Profitable Regional Markets for the Geospatial Analytics AI Industry?
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.
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