Market Size of India Geospatial Analytics Industry
Study Period | 2019 - 2029 |
Base Year For Estimation | 2023 |
Market Size (2024) | USD 1.38 Billion |
Market Size (2029) | USD 2.70 Billion |
CAGR (2024 - 2029) | 14.82 % |
Market Concentration | Medium |
Major Players*Disclaimer: Major Players sorted in no particular order |
India Geospatial Analytics Market Analysis
The India Geospatial Analytics Market size is estimated at USD 1.38 billion in 2024, and is expected to reach USD 2.70 billion by 2029, growing at a CAGR of 14.82% during the forecast period (2024-2029).
- India is experiencing a growing demand for geospatial analytics, driven by various factors, including advancements in technology, increasing availability of geospatial data, and the recognition of its value across multiple sectors. Geospatial analytics refers to the analysis of data with a geographic or spatial component, allowing for better understanding, visualization, and decision-making.
- Indian ecosystem is continuously growing in geospatial, with the Survey of India (SoI), Remote Sensing Application Centres (RSACs), the National Informatics Centre (NIC), and the Indian Space Research Organisation (ISRO), Apart from these agencies, most of the departments, in general have started using geospatial technology.
- The government of India is continuously increasing its investments to reform its policy. In December 2022, The Ministry of Science and Technology announced the National Geospatial Policy, with an aim to promote the geospatial data industry of the country and develop a national framework to use such data for improving citizen services and more.
- Moreover, agriculture is a significant sector in India, and geospatial analytics helps farmers and policymakers make informed decisions. By analyzing factors such as soil quality, weather patterns, crop health, and water availability, geospatial analytics can optimize farming practices, improve crop yields, and mitigate risks.
India Geospatial Analytics Industry Segmentation
Geospatial analytics is the process of acquiring, manipulating, and displaying imagery and data from the geographic information system (GIS), such as satellite photos and GPS data. The specific identifiers of a street address and a zip code are used in geospatial data analytics. They are used to create geographic models and data visualizations for more accurate trend modeling and forecasting.
The India geospatial analytics market is segmented by type (surface analysis, network analysis, geovisualization), end user vertical (agriculture, utility and communication, defence and intelligence, government, mining and natural resources, automotive and transportation, healthcare, real estate, and construction).
The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
By Type | |
Surface Analysis | |
Network Analysis | |
Geovisualization |
By End-user Vertical | |
Agriculture | |
Utility and Communication | |
Defense and Intelligence | |
Government | |
Mining and Natural Resources | |
Automotive and Transportation | |
Healthcare | |
Real Estate and Construction | |
Other End-user Verticals |
India Geospatial Analytics Market Size Summary
The India geospatial analytics market is poised for significant growth, driven by technological advancements and the increasing availability of geospatial data. This market is gaining traction across various sectors, including agriculture, urban planning, and infrastructure development, as organizations recognize the value of spatial data in enhancing decision-making and operational efficiency. The Indian government's proactive stance, exemplified by initiatives like the National Geospatial Policy and the use of Geographic Information Systems (GIS) in rural development projects, underscores the strategic importance of geospatial analytics in driving economic growth and improving citizen services. The involvement of key agencies such as the Survey of India, ISRO, and the National Informatics Centre further bolsters the ecosystem, facilitating the integration of geospatial technologies into government and commercial applications.
The demand for location-based services in India is on the rise, fueled by the proliferation of smartphones, improved internet connectivity, and the expansion of digital services. Geospatial analytics plays a crucial role in optimizing logistics for e-commerce and food delivery services, enhancing navigation and mapping solutions, and supporting urban planning efforts. Major players in the market, including Esri India, Google, and Maxar Technologies, are leveraging partnerships and innovations to expand their offerings and maintain a competitive edge. These developments are not only improving operational efficiencies but also enabling data-driven decision-making across various sectors, thereby contributing to the overall growth and sophistication of the geospatial analytics market in India.
India Geospatial Analytics Market Size - Table of Contents
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1. MARKET INSIGHTS
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1.1 Market Overview
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1.2 Industry Attractiveness - Porter's Five Forces Analysis
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1.2.1 Bargaining Power of Buyers
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1.2.2 Bargaining Power of Suppliers
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1.2.3 Threat of New Entrants
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1.2.4 Threat of Substitutes
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1.2.5 Intensity of Competitive Rivalry
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1.3 Industry Value Chain Analysis
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1.4 Assessment of the Impact of COVID-19 on the Market
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2. MARKET SEGMENTATION
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2.1 By Type
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2.1.1 Surface Analysis
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2.1.2 Network Analysis
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2.1.3 Geovisualization
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2.2 By End-user Vertical
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2.2.1 Agriculture
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2.2.2 Utility and Communication
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2.2.3 Defense and Intelligence
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2.2.4 Government
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2.2.5 Mining and Natural Resources
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2.2.6 Automotive and Transportation
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2.2.7 Healthcare
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2.2.8 Real Estate and Construction
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2.2.9 Other End-user Verticals
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India Geospatial Analytics Market Size FAQs
How big is the India Geospatial Analytics Market?
The India Geospatial Analytics Market size is expected to reach USD 1.38 billion in 2024 and grow at a CAGR of 14.82% to reach USD 2.70 billion by 2029.
What is the current India Geospatial Analytics Market size?
In 2024, the India Geospatial Analytics Market size is expected to reach USD 1.38 billion.