How Has the Geospatial Analytics AI Market Evolved Historically and What is its Current Size?
The geospatial analytics ai market has seen considerable growth due to a variety of factors.
• In the past few years, there has been an enormous growth in the geospatial analytics ai market size. It is projected to expand from $0.11 billion in 2024 to $0.14 billion in 2025, with a compound annual growth rate (CAGR) of 31.2%.
This growth during the historic period can be attributed to the expansion of AI across various industries, amplified need for surveillance and monitoring, swift deployment of AI solutions, advancements in machine learning and the rising demand for efficient operations.
What Is The Projected Growth Of The Geospatial Analytics AI Template Market?
The geospatial analytics ai market is expected to maintain its strong growth trajectory in upcoming years.
• In the forthcoming years, the geospatial analytics ai market is predicted to witness substantial growth, reaching $0.42 billion in 2029 with a compound annual growth rate (CAGR) of 31.0%.
This surge is projected to be a result of forecasts pertaining to alterations in land utility, urban development, increase in private farming activities, the revolutionary usage of AI, and advancements in remote sensing technology. The upcoming trends for this period are anticipated to include increased adoption of ai and machine learning, the rise in popularity of cloud-based platforms, broadening of applications, improved decision-making capabilities, and boosted disaster readiness and response measures.
What Are The Key Drivers Fueling Growth In The Geospatial Analytics AI Market?
The anticipated surge in internet access globally is likely to fuel the expansion of the geospatial analytics AI market in the future. The term "internet penetration" signifies the proportion of a population or specific demographic group that has internet access. When a specific percentage of the population or demographic group gains internet access, it facilitates broad connectivity, information accessibility, communication, and economic opportunities. Geospatial analytics AI is employed in internet penetration to examine and comprehend the spatial patterns of internet use. This allows for targeted interventions and the development of infrastructure to boost connectivity in underprivileged areas and strategically allocate resources to improve digital inclusion. For example, in November 2022, the International Telecommunication Union (ITU), a United Nations agency based in Switzerland, published that the worldwide internet penetration had reached approximately 5.3 billion people. This figure represented 66% of the world's population in 2022, marking a 6.1% increase from 2021. Therefore, the anticipated rise in internet access is likely to drive the geospatial analytics AI market's growth.
What Are The Principal Market Segments In The Global Geospatial Analytics AI Industry?
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
Pre-Book The Geospatial Analytics AI Global Market Report 2025 Report For Swift Delivery And Comprehensive Insights:
How Are Emerging Trends Reshaping The Dynamics Of The Geospatial Analytics AI Market?
Prominent firms in the geospatial analytics AI sector are focusing on the advancement of technologies such as geospatial and AI platforms, with the aim of outperforming competitors and facilitating scenario planning and monitoring. The confluence of geospatial technology and artificial intelligence in these platforms allows for the analysis and interpretation of data based on geographical locations. The addition of AI boosts the computational strength and prediction power of this model, permitting the extraction of invaluable insights from copious amounts of geospatial data. An example of this was found in January 2024, when UK-based professional services firm Deloitte Touche Tohmatsu Limited introduced a geospatial and AI platform based on Google Cloud, incorporating generative AI technology from Vertex AI. This platform aids clients in enhancing their disaster response, infrastructure creation, and urban planning procedures by offering insights into land usage, paving the way for more sustainable decision-making.
Who Are the Key Players 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.
What Are The Regional Insights Into 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.
