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What's Driving the Geospatial Analytics AI Market 2025-2034: Internet Usage Penetration's Effect On Geospatial Analytics AI Market
Geospatial Analytics AI Market Report
The geospatial analytics AI market will grow from $0.11 billion in 2024 to $0.14 billion in 2025, reflecting a CAGR of 31.2%. The growth is attributed to the expansion of AI across industries, increased need for surveillance and monitoring, rapid AI adoption, advancements in machine learning, and demand for operational efficiency.
The geospatial analytics AI market is poised for exponential growth, reaching $0.42 billion by 2029 at a CAGR of 31.0%. Growth drivers include predictive analytics for land use changes, urban expansion, the rise of private agricultural enterprises, AI-driven geospatial transformation, and innovations in remote sensing. Major trends include increasing adoption of AI and ML, the rise of cloud-based geospatial platforms, expanded applications across industries, AI-powered decision-making enhancements, and improved disaster preparedness and response solutions.
What Are the Main Catalysts for Growth in the Geospatial Analytics AI Market?
The increasing rate of internet penetration is expected to drive the growth of the geospatial analytics AI market in the future. Internet penetration refers to the proportion of the population or specific demographics with access to the internet. As more people gain internet access, it facilitates widespread connectivity, information access, communication, and economic opportunities. Geospatial analytics AI is used to analyze spatial patterns of internet usage, enabling targeted interventions and infrastructure development to enhance connectivity in underserved areas and optimize resource distribution for better digital inclusion. For example, in November 2022, the International Telecommunication Union (ITU), a Switzerland-based UN agency, reported that global internet penetration reached approximately 5.3 billion people, or 66% of the global population, in 2022, showing a 6.1% increase from 2021. Therefore, the growth in internet penetration is expected to drive the expansion of the geospatial analytics AI market.
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Which Businesses Are at the Forefront of Geospatial Analytics AI Market Development?
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 Innovations in the Geospatial Analytics AI Market?
In the geospatial analytics AI market, leading companies are working on innovative technologies, such as AI-integrated geospatial platforms for scenario planning and monitoring, to gain a competitive advantage. These platforms combine geospatial technology with AI to analyze data related to geographic locations, providing insights that can be used for better decision-making. For instance, in January 2024, Deloitte Touche Tohmatsu Limited, a UK-based professional services company, launched a geospatial and AI platform powered by Google Cloud, utilizing Vertex AI's generative AI. This platform helps clients improve planning processes in areas like disaster response, infrastructure development, and urban planning, promoting more sustainable decision-making.
How Is the Geospatial Analytics AI Market Segmented?
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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Where Is the Geospatial Analytics AI Market Growth Most Prominent?
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.
What Is Covered In The Geospatial Analytics AI Global Market Report?
- Market Size Analysis: Analyze the Geospatial Analytics AI Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Geospatial Analytics AI Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Geospatial Analytics AI Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Geospatial Analytics AI Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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