Press release
Key Trend Reshaping the Geospatial Analytics AI Market in 2025: Integration Of AI And Geospatial Platforms For Enhanced Scenario Planning And Monitoring
Geospatial Analytics AI Market Size
The anticipated rise in internet accessibility is projected to fuel the expansion of the geospatial analytics AI market in the future. Internet penetration pertains to the portion of a certain demographic or population that has internet access. It transpires when a designated percentage of a demographic or population gain internet access, enabling widespread cultivation of connectivity, information, communication, and economic opportunities. Geospatial analytics AI is utilized in internet penetration to scrutinize and apprehend the geographical patterns of internet usage. This allows for precise interventions and infrastructure initiatives to boost connectivity in inadequately served areas, as well as optimize the distribution of resources for improved digital inclusion. For instance, an International Telecommunication Union (ITU) report in November 2022 revealed that global Internet penetration reached approximately 5.3 billion individuals or 66% of the world's populace in 2022, witnessing a 6.1% increase from 2021. Consequently, the ascension in internet penetration is anticipated to fuel the growth of the geospatial analytics AI market.
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What is the projected compound annual growth rate (CAGR) of the geospatial analytics ai market from 2025 to 2034, and what factors influence it?
The size of the geospatial analytics ai market has seen a rapid growth in recent times. The projection is a rise from $0.11 billion in 2024 to $0.14 billion in 2025, indicating a compound annual growth rate (CAGR) of 31.2%. Such growth during this historical period is due to factors such as the expansion of AI in multiple sectors, the amplified need for surveillance and monitoring, quick adoption of AI solutions, progress in machine learning technology, and an escalating demand for efficient operations.
Expectations are high for the geospatial analytics AI market, which is predicted to experience significant expansion in the coming years. It is projected to achieve a value of $0.42 billion by 2029, showing a compound annual growth rate (CAGR) of 31.0%. This anticipated expansion in the forecast period is due to potential alterations in land usage, an increase in urban development, a surge in private farming methods, the groundbreaking impact of AI, and advancements in remote sensing technology. The forecast period is set to see escalating use of AI and machine learning, a growth in cloud-based platforms, expansion of applications, enhanced decision-making, and improved readiness and response to disasters.
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What trends are poised to drive the future success of the geospatial analytics ai market?
Leading organizations active in the geospatial analytics AI sector are investing in the advancement of technologies, such as geospatial and AI platforms. They aim to optimize scenario planning and monitoring, thereby securing a competitive position in the market. These platforms offer a collaborative environment for geospatial technology and artificial intelligence (AI) to decipher data associated with geographical locations. AI integration amplifies computational strength and predictive capabilities, which leads to critical insights from copious geospatial data. For example, in January 2024, Deloitte Touche Tohmatsu Limited, a professional services firm headquartered in the UK, introduced a geospatial and AI platform utilizing Google Cloud's power and generating AI technology from Vertex AI. This innovative solution enables customers to enhance their planning regarding disaster management, infrastructural advancement, and urban planning based on insights on land utilization, contributing to more ecologically sound decision-making.
What are the major segments of the geospatial analytics ai market and their role in driving growth?
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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Which regions are key players in the growth of the geospatial analytics ai market?
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.
Who are the key firms paving the way for growth 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.
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What Is Covered In The Geospatial Analytics AI Global Market Report?
• Market Size Forecast: Examine the geospatial analytics ai market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the geospatial analytics ai market for a structured understanding.
• Key Players Overview: Analyze major players in the geospatial analytics ai market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the geospatial analytics ai market.
• Segment Contributions: Evaluate how different segments drive overall growth in the geospatial analytics ai market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the geospatial analytics ai market.
• Industry Challenges: Identify potential risks and obstacles affecting the geospatial analytics ai market.
• Competitive Landscape: Review strategic developments in the geospatial analytics ai market, including expansions, agreements, and new product launches.
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