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India Geospatial Analytics Market

India Geospatial Analytics Market By Component (Software, Services); By Deployment Mode (On-premise, Cloud); By Organization Size (Large Enterprises, SMEs); By Type (Surface and Field Analytics, Network and Location Analytics, Geovisualization, Others); By Industry Vertical (Mining and Manufacturing, Government, Environmental Monitoring, Defence and Security, Engineering and Construction, Automotive, Others) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

Summary
Table Of Content

REPORT ATTRIBUTE	DETAILS
Historical Period	2020-2023
Base Year	2024
Forecast Period	2025-2032
India Geospatial Analytics Market Size 2023	USD 2,434.26 million
India Geospatial Analytics Market, CAGR	11.6%
India Geospatial Analytics Market Size 2032	USD 6,557.19 million

Market Overview:

India Geospatial Analytics Market size was valued at USD 2,434.26 million in 2023 and is anticipated to reach USD 6,557.19 million by 2032, at a CAGR of 11.6% during the forecast period (2023-2032).

Several factors are propelling the growth of the geospatial analytics market in India. Government initiatives like the Digital India program and the liberalization of geospatial data policies have created a conducive environment for innovation and private sector participation. The increasing demand for real-time data analytics in sectors such as agriculture, where satellite imagery and geospatial data are used for precision farming, is also a significant driver. Moreover, the rise of smart cities and the need for efficient urban infrastructure management are leading to greater reliance on geospatial analytics for planning and monitoring purposes. The defense and homeland security sectors are also increasingly leveraging geospatial intelligence for strategic planning and surveillance. Additionally, the proliferation of mobile devices and IoT sensors is enabling the continuous collection of spatial data, which enhances analytics accuracy and decision-making efficiency.

Regionally, the southern part of India, particularly cities like Bengaluru, Hyderabad, and Chennai, is emerging as a hub for geospatial analytics. These cities boast a strong technological infrastructure and are home to numerous startups and established firms specializing in geospatial solutions. The western region, including cities like Pune and Ahmedabad, is also witnessing growth due to investments in smart city projects and infrastructure development. In contrast, the northern region, encompassing Delhi and surrounding areas, is focusing on integrating geospatial analytics into governance and public service delivery. Eastern states like West Bengal and Odisha are gradually adopting geospatial tools for disaster management and rural development initiatives. This regional diversification underscores the widespread adoption and potential of geospatial analytics across the country, fostering innovation and enhancing regional economic competitiveness.

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Market Insights:

The India Geospatial Analytics Market was valued at USD 2,434.26 million in 2023 and is expected to reach USD 6,557.19 million by 2032, growing at a CAGR of 11.6%, driven by digital transformation across public and private sectors.
Government initiatives such as Digital India, Smart Cities Mission, and Gati Shakti, along with the liberalization of geospatial data policies, are accelerating the adoption of spatial technologies.
The integration of AI, machine learning, and IoT with geospatial platforms is enabling advanced applications such as predictive analytics, real-time urban monitoring, and precision agriculture.
Key industry verticals—including agriculture, defense, urban infrastructure, and utilities—are increasingly adopting geospatial analytics to enhance decision-making, productivity, and sustainability.
A growing startup ecosystem in cities like Bengaluru and Hyderabad, supported by public-private partnerships, is fostering innovation and delivering localized geospatial solutions.
Despite growth potential, challenges such as data privacy concerns, limited skilled workforce, and high implementation costs for SMEs continue to restrain widespread adoption.
Regionally, South India holds the largest market share, followed by Western and Northern regions, while Eastern states are gradually adopting geospatial tools for disaster management and development planning.

Report Scope

This report segments the India Geospatial Analytics Market as follow

Market Drivers:

Government Initiatives and Policy Reforms

India’s geospatial analytics market is significantly driven by government-led initiatives and regulatory support that have created a conducive ecosystem for technological adoption. For example, the Ministry of Rural Development has implemented Geographic Information System (GIS) technology in flagship schemes like the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) and Pradhan Mantri Gram Sadak Yojana (PMGSY) to enhance planning and execution of rural infrastructure projects. Programs such as the Digital India initiative, Smart Cities Mission, and Gati Shakti infrastructure plan are integrating geospatial technologies to improve governance, urban planning, and logistics. Additionally, the liberalization of geospatial data policies in 2021 allowed private entities to collect, generate, and disseminate geospatial data with fewer restrictions, encouraging innovation and competition. This policy shift has unlocked vast opportunities for domestic startups and global companies to invest in location-based services, real-time mapping, and data visualization platforms, further accelerating market expansion.

Technological Advancements and Integration with AI

The integration of geospatial analytics with emerging technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) is reshaping the landscape of spatial data applications across India. These technologies enable the extraction of deeper insights from complex geospatial datasets, which supports predictive modeling and real-time decision-making. For instance, AI-driven algorithms help process satellite imagery to detect environmental changes, forecast agricultural yield, and monitor urban expansion. Additionally, IoT devices contribute to the generation of continuous geolocation data, which can be integrated with geospatial platforms to optimize transportation, utilities, and emergency response systems. These innovations enhance the scope, efficiency, and reliability of geospatial analytics.

Growing Demand Across Key Industry Verticals

The rising demand for geospatial analytics across various sectors such as agriculture, defense, infrastructure, and utilities is another major driver of the market. In agriculture, spatial analysis tools are being utilized for precision farming, crop monitoring, and resource allocation, thereby improving productivity and sustainability. For example, spatial mapping of soil types and health allows for optimized crop selection and targeted application of fertilizers, improving resource efficiency. In the defense sector, geospatial intelligence is crucial for surveillance, border security, and mission planning. Urban infrastructure development also benefits from location intelligence, as it enables better planning and monitoring of transportation systems, utilities, and construction projects. Furthermore, public and private utilities are leveraging geospatial tools to manage assets, track maintenance needs, and reduce operational risks. These widespread applications underscore the growing relevance of geospatial analytics in strategic planning and resource optimization.

Private Sector Participation and Startup Ecosystem

The expanding role of the private sector and the proliferation of startups in India’s geospatial domain are further catalyzing market growth. With increased funding and government support, a growing number of technology firms are entering the space, offering cloud-based GIS solutions, drone-based mapping services, and spatial data analytics platforms. The presence of a vibrant startup ecosystem, especially in cities like Bengaluru, Hyderabad, and Pune, is fostering innovation and collaboration in the industry. These firms are often engaged in partnerships with government bodies, research institutions, and large enterprises to co-develop geospatial applications tailored to Indian market needs. This dynamic environment enhances competitiveness and drives continuous development in geospatial capabilities nationwide.

Market Trends:

Expansion of Digital Twin Technology

A prominent trend in the India geospatial analytics market is the growing adoption of digital twin technology. As urban infrastructure projects become more complex, there is an increasing demand for creating real-time virtual replicas of physical assets. For instance, the Indian government’s Sangam initiative is focused on digital twins for future infrastructure planning, leveraging advanced technologies like AI and 5G to improve project efficiency and reduce operational downtime. Digital twins leverage geospatial data to simulate and monitor infrastructure performance, enabling planners and administrators to make data-driven decisions. Cities like Mumbai and Bengaluru are exploring digital twin models to manage urban utilities, monitor traffic flow, and plan disaster response strategies. This shift not only improves efficiency but also reduces costs associated with infrastructure maintenance and operational downtime.

Increased Utilization of UAVs and Drone Mapping

Unmanned Aerial Vehicles (UAVs), or drones, are transforming the way geospatial data is captured and analyzed in India. High-resolution drone imagery is being widely used in land surveying, forestry management, mining, and construction. For instance, companies such as IG Drones deliver high-precision GIS surveys, topographic mapping, and asset inspections using advanced drones, achieving centimeter-level accuracy for clients in sectors like urban planning, mining, and infrastructure. Government agencies and private companies are increasingly deploying drones for large-scale mapping and environmental monitoring due to their ability to cover inaccessible areas and provide real-time updates. The Directorate General of Civil Aviation (DGCA) has streamlined policies to encourage the commercial use of drones, leading to a rise in drone-based service providers. This growing reliance on drone technology is expanding the reach and depth of spatial analytics across multiple sectors.

Adoption of Cloud-based Geospatial Solutions

The migration to cloud platforms is redefining the geospatial analytics landscape in India. Organizations are adopting cloud-based GIS solutions to ensure scalability, flexibility, and ease of access to spatial data. These platforms allow users to collaborate remotely, integrate data from diverse sources, and perform complex analyses without investing heavily in hardware infrastructure. Global technology providers and Indian startups are launching SaaS-based geospatial tools tailored for sectors like logistics, disaster management, and agriculture. The cloud model also supports real-time data processing, enabling faster response times in critical applications such as flood mapping, traffic analysis, and resource allocation.

Growing Role in Climate Resilience and Sustainability

Geospatial analytics is playing an increasingly vital role in supporting India’s climate resilience strategies. With the country facing frequent natural disasters such as floods, cyclones, and droughts, there is a rising emphasis on leveraging spatial data for environmental monitoring and early warning systems. State governments are investing in geospatial platforms that integrate weather forecasts, satellite data, and land-use patterns to enhance disaster preparedness and mitigation efforts. In addition, sustainability-focused initiatives, such as renewable energy site planning and forest conservation, are incorporating geospatial analytics to assess environmental impact and improve decision-making. This trend underscores the evolving role of geospatial tools in addressing India’s long-term environmental challenges.

Market Challenges Analysis:

Data Privacy and Security Concerns

One of the primary restraints affecting the growth of the India geospatial analytics market is the concern around data privacy and security. As geospatial analytics involves the collection and processing of sensitive location-based information, there are rising apprehensions about unauthorized access, misuse, and surveillance. For instance, according to Infosys BPM, geospatial data can be linked to individuals, making it a target for cybercriminals and raising risks of unauthorized surveillance and misuse. Such data often reveals daily routines, residences, and movement patterns, which, if compromised, could lead to privacy breaches or even physical threats to infrastructure. Although the liberalization of geospatial data policies has encouraged innovation, it has also raised questions regarding the protection of national security interests and individual privacy rights. The lack of a robust legal framework specific to geospatial data governance limits stakeholders’ confidence, especially in sectors dealing with critical infrastructure and public safety. Without clear data protection guidelines, organizations remain cautious about full-scale adoption of geospatial technologies.

Limited Technical Expertise and Infrastructure

Another key challenge is the shortage of skilled professionals and adequate infrastructure to support advanced geospatial analytics across all regions in India. While major urban centers have access to talent and technology, rural and remote areas face barriers in terms of internet connectivity, modern hardware, and trained personnel. The successful implementation of geospatial solutions requires multidisciplinary expertise in GIS, remote sensing, AI, and data analytics — skills that are still developing in the broader workforce. Educational institutions have begun offering specialized programs, but the gap between academic training and industry demands remains significant. This constraint hampers the scalability and equitable distribution of geospatial technologies across sectors and geographies.

High Implementation Costs for SMEs

High initial investment and operational costs present another major obstacle, particularly for small and medium enterprises (SMEs). Advanced geospatial systems often require expensive software licenses, high-resolution imagery, and computing resources, which can deter smaller players from entering the market. Although cloud-based solutions offer some relief, the cost of acquiring high-quality datasets and maintaining analytical platforms continues to limit broader adoption. Bridging this affordability gap is critical to ensuring inclusive market growth and technological democratization across India.

Market Opportunities:

The India geospatial analytics market presents substantial opportunities driven by the rapid digital transformation of public services and infrastructure. As government bodies increasingly adopt data-driven governance models, the integration of geospatial analytics into public administration, land records digitization, and smart city planning is gaining momentum. Projects such as the National Land Records Modernization Programme (NLRMP) and the Urban Observatory framework under the Smart Cities Mission are creating long-term demand for accurate spatial data and location intelligence. This creates significant opportunities for technology providers to offer customized solutions that enhance transparency, resource allocation, and service delivery in urban and rural areas alike. Additionally, defense and homeland security applications offer long-term potential as agencies seek advanced surveillance and situational awareness tools powered by geospatial intelligence.

The private sector also offers expansive potential, particularly in logistics, agriculture, real estate, and environmental monitoring. As e-commerce and last-mile delivery services grow in complexity, geospatial analytics can optimize routing, warehouse planning, and demand forecasting. In agriculture, precision farming supported by satellite imagery and geospatial platforms is poised to revolutionize crop management and yield prediction, especially in India’s agrarian states. Moreover, the increasing emphasis on ESG (Environmental, Social, and Governance) compliance is prompting corporations to adopt geospatial solutions for sustainability reporting and risk assessment. The convergence of geospatial technologies with artificial intelligence and big data analytics further expands the scope of innovation, paving the way for scalable, cross-sector solutions that can meet India’s evolving economic and environmental priorities.

Market Segmentation Analysis:

The India geospatial analytics market is segmented by component, deployment mode, organization size, type, and industry vertical, each contributing uniquely to market dynamics.

By component, the market is bifurcated into software and services. Software solutions, including GIS platforms, remote sensing tools, and real-time mapping applications, form the core of geospatial analytics adoption across sectors. Services, including consulting, integration, and maintenance, are gaining traction as organizations seek to optimize implementation and derive maximum value from spatial data technologies.

By deployment mode, the market is divided into on-premise and cloud-based solutions. On-premise deployment remains prominent in government and defense due to data sensitivity, while cloud deployment is expanding rapidly in commercial sectors, offering scalability, remote accessibility, and cost efficiency.

By organization size, large enterprises dominate the adoption landscape due to greater financial and technical resources, though SMEs are increasingly adopting cloud-based geospatial tools for localized applications in agriculture, logistics, and construction.

By type, surface and field analytics, network and location analytics, geovisualization, and others represent the core analytical functions driving decision-making. Network and location analytics lead the segment due to their relevance in urban planning, logistics, and mobility solutions. Surface and field analytics are widely used in agriculture, mining, and environmental monitoring.

By industry vertical, government, defense and security, and environmental monitoring are major consumers, leveraging geospatial analytics for planning, surveillance, and disaster management. Sectors such as automotive, engineering and construction, and mining and manufacturing are also adopting these tools to enhance operational efficiency and support strategic initiatives.

Segmentation:

By Component:

Software
Services

By Deployment Mode:

On-premise
Cloud

By Organization size:

Large Enterprises
SME’s

By Type:

Surface and Field Analytics
Network and Location Analytics
Geovisualization
Others

By Industry Vertical:

Mining and Manufacturing
Government
Environmental Monitoring
Defence and Security
Engineering and Construction
Automotive
Others

Regional Analysis:

The India geospatial analytics market exhibits regional diversification, with varying levels of technological maturity, infrastructure development, and adoption across the country. South India holds the largest share of the market at 35%, driven by cities such as Bengaluru, Hyderabad, and Chennai. These urban centers serve as major hubs for information technology and innovation, housing several startups, multinational corporations, and academic institutions actively engaged in geospatial research and development. The presence of a strong talent pool, access to venture capital, and supportive state-level policies have further accelerated the adoption of geospatial technologies in urban planning, smart city initiatives, and enterprise solutions in the region.

Western India accounts for 28% of the market share, with cities like Pune, Mumbai, and Ahmedabad playing a pivotal role. The region benefits from rapid infrastructure growth, industrial expansion, and significant investments in smart city and logistics projects. Maharashtra and Gujarat have been early adopters of GIS-based tools in sectors such as utilities, mining, manufacturing, and disaster management. Additionally, the availability of robust transport networks and industrial corridors enhances the demand for spatial intelligence to support planning, asset management, and route optimization.

Northern India holds a market share of 22%, with New Delhi, Noida, and Chandigarh emerging as key centers for geospatial applications in governance, defense, and public services. The region is increasingly integrating location intelligence into initiatives such as land record modernization, law enforcement, and environmental monitoring. Delhi’s administrative importance and high concentration of government departments have fostered the development of data-driven governance platforms powered by geospatial analytics.

Eastern and Northeastern India collectively contribute 15% to the market share. Although these regions are comparatively nascent in terms of infrastructure and adoption, they are gradually leveraging geospatial solutions for disaster risk reduction, forestry management, rural development, and resource mapping. States like Odisha and West Bengal have launched initiatives incorporating satellite imagery and spatial analytics to improve agricultural productivity and monitor coastal ecosystems. Additionally, the Northeast is gaining strategic importance due to defense-related mapping and terrain analysis, encouraging gradual investment in geospatial infrastructure.

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Key Player Analysis:

MapmyIndia
Cyient
Delhi Spatial
Genesys International
SAP SE
Google, Inc.
Bentley Systems, Incorporated
Alteryx, Inc.
Oracle Corporation
Surveys and Mapping India
Trimble, Inc.
Esri
Microsoft Corporation
Asteria Geospatial Solutions
Geospatial Media and Communications (GMC)
Others

Competitive Analysis:

The India geospatial analytics market features a competitive landscape shaped by a mix of global technology providers, domestic firms, and emerging startups. Leading players such as ESRI India, Trimble Inc., Hexagon AB, and RMSI dominate the market with advanced GIS platforms, mapping solutions, and industry-specific applications. These companies benefit from established client bases, strong R&D capabilities, and strategic collaborations with government bodies. Simultaneously, Indian startups like SatSure, Geospoc, and SkyMap Global are disrupting the market with innovative, cost-effective, and localized geospatial solutions tailored to sectors such as agriculture, infrastructure, and disaster management. The competition is further intensified by cloud service providers and analytics firms entering the space through platform integration and data partnerships. As the demand for real-time spatial insights grows, companies are focusing on enhancing product capabilities, expanding service offerings, and leveraging AI-driven analytics to strengthen their market position and cater to diverse industry needs.

Recent Developments:

In February 2025, MapmyIndia marked its 30-year milestone by launching a major update to its flagship Mappls App, introducing Indic language maps and navigation support for nine regional languages. This initiative, unveiled by the Surveyor General of India, aims to make digital mapping and navigation accessible to all Indians in their native tongues. The update also features innovations such as 3D landmarks, terrain models, real-time 4D updates, HD maps, and RealView 360-degree geo-tagged panoramas, reinforcing MapmyIndia’s leadership in culturally inclusive, AI-powered digital mapping.
In January 2025, Pixxel, a Google-backed Indian space technology startup, marked a significant milestone in the India geospatial analytics market by successfully launching three of its six planned hyperspectral imaging satellites aboard a SpaceX rocket from California. This launch is a major step in expanding Pixxel’s satellite constellation, with plans to deploy the remaining three satellites in the second quarter of 2025 and a vision to add 18 more spacecraft in the future.
In January 2023, Esri India announced the development of policy maps designed to provide critical data for government decision-making. These policy maps are intended to facilitate informed governance and strategic planning by integrating advanced geospatial analytics into public sector workflows. Esri India’s initiative underscores the growing role of geospatial technology in supporting data-driven policy and urban development across the country.

Market Concentration & Characteristics:

The India geospatial analytics market exhibits a moderate level of concentration, characterized by a blend of established global players and emerging domestic firms. Leading companies such as ESRI India, Trimble Inc., Hexagon AB, and RMSI hold significant market shares, leveraging their advanced technological capabilities and extensive experience to cater to various sectors including government, defense, and infrastructure. These firms offer comprehensive solutions encompassing Geographic Information Systems (GIS), remote sensing, and location-based services, thus maintaining a strong foothold in the market. Simultaneously, the market is witnessing the rise of innovative startups and smaller enterprises that focus on niche applications and cost-effective solutions tailored to local needs. Companies like SatSure, Geospoc, and SkyMap Global are gaining traction by addressing specific challenges in agriculture, urban planning, and disaster management through the integration of artificial intelligence and machine learning with geospatial data. This dynamic landscape fosters healthy competition and encourages continuous innovation, thereby enhancing the overall capabilities and reach of geospatial analytics across India.

Report Coverage:

The research report offers an in-depth analysis based on Component, Deployment Mode, Organization size, Type and Industry Vertical. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook:

Increased adoption of AI-integrated geospatial platforms will enhance predictive analytics and real-time decision-making.
Expansion of digital twin technology will drive demand in infrastructure and smart city applications.
Cloud-based GIS solutions will gain traction among SMEs due to scalability and cost efficiency.
Government-led modernization projects will continue to stimulate investment in spatial data infrastructure.
The agriculture sector will see broader use of remote sensing and satellite imagery for precision farming.
Demand for geospatial analytics in disaster management and climate resilience will grow significantly.
UAV and drone-based mapping will become mainstream for land surveys and environmental monitoring.
Integration of geospatial tools in e-commerce logistics and last-mile delivery will accelerate.
Partnerships between public agencies and private firms will increase to support location intelligence needs.
Growth in educational programs and skilling initiatives will address the industry’s talent gap.

CHAPTER NO. 1 : INTRODUCTION 18

1.1.1. Report Description 18

Purpose of the Report 19

USP & Key Component 19

1.1.2. Key Benefits for Stakeholders 19

1.1.3. Target Audience 19

1.1.4. Report Scope 20

CHAPTER NO. 2 : EXECUTIVE SUMMARY 21

2.1. Geospatial Analytics Market Snapshot 21

2.1.1. India Geospatial Analytics Market, 2018 – 2032 (USD Million) 22

CHAPTER NO. 3 : GEOPOLITICAL CRISIS IMPACT ANALYSIS 23

3.1. Russia-Ukraine and Israel-Palestine War Impacts 23

CHAPTER NO. 4 : GEOSPATIAL ANALYTICS MARKET – INDUSTRY ANALYSIS 24

4.1. Introduction 24

4.2. Market Drivers 25

4.2.1. Driving Factor 1 Analysis 25

4.2.2. Driving Factor 2 Analysis 26

4.3. Market Restraints 27

4.3.1. Restraining Factor Analysis 27

4.4. Market Opportunities 28

4.4.1. Market Opportunities Analysis 28

4.5. Porter’s Five Force analysis 29

4.6. Value Chain Analysis 30

4.7. Buying Criteria 31

CHAPTER NO. 5 : ANALYSIS COMPETITIVE LANDSCAPE 32

5.1. Company Market Share Analysis – 2023 32

5.1.1. India Geospatial Analytics Market: Company Market Share, by Revenue, 2023 32

5.1.2. India Geospatial Analytics Market: Top 6 Company Market Share, by Revenue, 2023 32

5.1.3. India Geospatial Analytics Market: Top 3 Company Market Share, by Revenue, 2023 33

5.2. India Geospatial Analytics Market Company Revenue Market Share, 2023 34

5.3. Company Assessment Metrics, 2023 35

5.3.1. Stars 35

5.3.2. Emerging Leaders 35

5.3.3. Pervasive Players 35

5.3.4. Participants 35

5.4. Start-ups /Code Assessment Metrics, 2023 35

5.4.1. Progressive Companies 35

5.4.2. Responsive Companies 35

5.4.3. Dynamic Companies 35

5.4.4. Starting Blocks 35

5.5. Strategic Developments 36

5.5.1. Acquisition & Mergers 36

New Product Launch 36

Regional Expansion 36

5.6. Key Players Product Matrix 37

CHAPTER NO. 6 : PESTEL & ADJACENT MARKET ANALYSIS 38

6.1. PESTEL 38

6.1.1. Political Factors 38

6.1.2. Economic Factors 38

6.1.3. Social Factors 38

6.1.4. Technological Factors 38

6.1.5. Environmental Factors 38

6.1.6. Legal Factors 38

6.2. Adjacent Market Analysis 38

CHAPTER NO. 7 : GEOSPATIAL ANALYTICS MARKET – BY COMPONENT SEGMENT ANALYSIS 39

7.1. Geospatial Analytics Market Overview, by Component Segment 39

7.1.1. Geospatial Analytics Market Revenue Share, By Component, 2023 & 2032 40

7.1.2. Geospatial Analytics Market Attractiveness Analysis, By Component 41

7.1.3. Incremental Revenue Growth Opportunities, by Component, 2024 – 2032 41

7.1.4. Geospatial Analytics Market Revenue, By Component, 2018, 2023, 2027 & 2032 42

7.2. Software 43

7.3. Services 44

CHAPTER NO. 8 : GEOSPATIAL ANALYTICS MARKET – BY DEPLOYMENT MODE SEGMENT ANALYSIS 45

8.1. Geospatial Analytics Market Overview, by Deployment Mode Segment 45

8.1.1. Geospatial Analytics Market Revenue Share, By Deployment Mode, 2023 & 2032 46

8.1.2. Geospatial Analytics Market Attractiveness Analysis, By Deployment Mode 47

8.1.3. Incremental Revenue Growth Opportunities, by Deployment Mode, 2024 – 2032 47

8.1.4. Geospatial Analytics Market Revenue, By Deployment Mode, 2018, 2023, 2027 & 2032 48

8.2. On-premise 49

8.3. Cloud 50

CHAPTER NO. 9 : GEOSPATIAL ANALYTICS MARKET – BY TYPE SEGMENT ANALYSIS 51

9.1. Geospatial Analytics Market Overview, by Type Segment 51

9.1.1. Geospatial Analytics Market Revenue Share, By Type, 2023 & 2032 52

9.1.2. Geospatial Analytics Market Attractiveness Analysis, By Type 53

9.1.3. Incremental Revenue Growth Opportunities, by Type, 2024 – 2032 53

9.1.4. Geospatial Analytics Market Revenue, By Type, 2018, 2023, 2027 & 2032 54

9.2. Surface and Field Analytics 55

9.3. Network and Location Analytics 56

9.4. Geovisualization 57

9.5. Others 58

CHAPTER NO. 10 : GEOSPATIAL ANALYTICS MARKET – BY INDUSTRY VERTICAL SEGMENT ANALYSIS 59

10.1. Geospatial Analytics Market Overview, by Industry Vertical Segment 59

10.1.1. Geospatial Analytics Market Revenue Share, By Industry Vertical, 2023 & 2032 60

10.1.2. Geospatial Analytics Market Attractiveness Analysis, By Industry Vertical 61

10.1.3. Incremental Revenue Growth Opportunities, by Industry Vertical, 2024 – 2032 61

10.1.4. Geospatial Analytics Market Revenue, By Industry Vertical, 2018, 2023, 2027 & 2032 62

10.2. Mining and Manufacturing 63

10.3. Government 64

10.4. Environmental Monitoring 65

10.5. Defence and Security 66

10.6. Engineering and Construction 67

10.7. Automotive 68

10.8. Others 69

CHAPTER NO. 11 : GEOSPATIAL ANALYTICS MARKET – INDIA 70

11.1. India 70

11.1.1. Key Highlights 70

11.2. Component 71

11.3. India Geospatial Analytics Market Revenue, By Component, 2018 – 2023 (USD Million) 71

11.4. India Geospatial Analytics Market Revenue, By Component, 2024 – 2032 (USD Million) 71

11.5. Deployment Mode 72

11.6. India Geospatial Analytics Market Revenue, By Deployment Mode, 2018 – 2023 (USD Million) 72

11.6.1. India Geospatial Analytics Market Revenue, By Deployment Mode, 2024 – 2032 (USD Million) 72

11.7. Enterprise Size 73

11.8. India Geospatial Analytics Market Revenue, By Enterprise Size, 2018 – 2023 (USD Million) 73

11.8.1. India Geospatial Analytics Market Revenue, By Enterprise Size, 2024 – 2032 (USD Million) 73

11.9. Type 74

11.10. India Geospatial Analytics Market Revenue, By Type, 2018 – 2023 (USD Million) 74

11.10.1. India Geospatial Analytics Market Revenue, By Type, 2024 – 2032 (USD Million) 74

11.11. Industry Vertical 75

11.11.1. India Geospatial Analytics Market Revenue, By Industry Vertical, 2018 – 2023 (USD Million) 75

11.11.2. India Geospatial Analytics Market Revenue, By Industry Vertical, 2024 – 2032 (USD Million) 75

CHAPTER NO. 12 : COMPANY PROFILES 76

12.1. MapmyIndia 76

12.1.1. Company Overview 76

12.1.2. Product Portfolio 76

12.1.3. Swot Analysis 76

12.1.4. Business Strategy 77

12.1.5. Financial Overview 77

12.2. Cyient 78

12.3. Delhi Spatial 78

12.4. Genesys International 78

12.5. SAP SE 78

12.6. Google, Inc. 78

12.7. Bentley Systems, Incorporated 78

12.8. Alteryx, Inc. 78

12.9. Oracle Corporation 78

12.10. Surveys and Mapping India 78

12.11. Trimble, Inc. 78

12.12. Esri 78

12.13. Microsoft Corporation 78

12.14. Asteria Geospatial Solutions 78

12.15. Geospatial Media and Communications (GMC) 78

12.16. Others 78

]

List of Figures

FIG NO. 1. India Geospatial Analytics Market Revenue, 2018 – 2032 (USD Million) 22

FIG NO. 2. Porter’s Five Forces Analysis for India Geospatial Analytics Market 29

FIG NO. 3. Value Chain Analysis for India Geospatial Analytics Market 30

FIG NO. 4. Company Share Analysis, 2023 32

FIG NO. 5. Company Share Analysis, 2023 32

FIG NO. 6. Company Share Analysis, 2023 33

FIG NO. 7. Geospatial Analytics Market – Company Revenue Market Share, 2023 34

FIG NO. 8. Geospatial Analytics Market Revenue Share, By Component, 2023 & 2032 40

FIG NO. 9. Market Attractiveness Analysis, By Component 41

FIG NO. 10. Incremental Revenue Growth Opportunities by Component, 2024 – 2032 41

FIG NO. 11. Geospatial Analytics Market Revenue, By Component, 2018, 2023, 2027 & 2032 42

FIG NO. 12. India Geospatial Analytics Market for Software, Revenue (USD Million) 2018 – 2032 43

FIG NO. 13. India Geospatial Analytics Market for Services, Revenue (USD Million) 2018 – 2032 44

FIG NO. 14. Geospatial Analytics Market Revenue Share, By Deployment Mode, 2023 & 2032 46

FIG NO. 15. Market Attractiveness Analysis, By Deployment Mode 47

FIG NO. 16. Incremental Revenue Growth Opportunities by Deployment Mode, 2024 – 2032 47

FIG NO. 17. Geospatial Analytics Market Revenue, By Deployment Mode, 2018, 2023, 2027 & 2032 48

FIG NO. 18. India Geospatial Analytics Market for On-premise, Revenue (USD Million) 2018 – 2032 49

FIG NO. 19. India Geospatial Analytics Market for Cloud, Revenue (USD Million) 2018 – 2032 50

FIG NO. 20. Geospatial Analytics Market Revenue Share, By Type, 2023 & 2032 52

FIG NO. 21. Market Attractiveness Analysis, By Type 53

FIG NO. 22. Incremental Revenue Growth Opportunities by Type, 2024 – 2032 53

FIG NO. 23. Geospatial Analytics Market Revenue, By Type, 2018, 2023, 2027 & 2032 54

FIG NO. 24. India Geospatial Analytics Market for Surface and Field Analytics, Revenue (USD Million) 2018 – 2032 55

FIG NO. 25. India Geospatial Analytics Market for Network and Location Analytics, Revenue (USD Million) 2018 – 2032 56

FIG NO. 26. India Geospatial Analytics Market for Geovisualization, Revenue (USD Million) 2018 – 2032 57

FIG NO. 27. India Geospatial Analytics Market for Others, Revenue (USD Million) 2018 – 2032 58

FIG NO. 28. Geospatial Analytics Market Revenue Share, By Industry Vertical, 2023 & 2032 60

FIG NO. 29. Market Attractiveness Analysis, By Industry Vertical 61

FIG NO. 30. Incremental Revenue Growth Opportunities by Industry Vertical, 2024 – 2032 61

FIG NO. 31. Geospatial Analytics Market Revenue, By Industry Vertical, 2018, 2023, 2027 & 2032 62

FIG NO. 32. India Geospatial Analytics Market for Mining and Manufacturing, Revenue (USD Million) 2018 – 2032 63

FIG NO. 33. India Geospatial Analytics Market for Government, Revenue (USD Million) 2018 – 2032 64

FIG NO. 34. India Geospatial Analytics Market for Environmental Monitoring, Revenue (USD Million) 2018 – 2032 65

FIG NO. 35. India Geospatial Analytics Market for Defence and Security, Revenue (USD Million) 2018 – 2032 66

FIG NO. 36. India Geospatial Analytics Market for Engineering and Construction, Revenue (USD Million) 2018 – 2032 67

FIG NO. 37. India Geospatial Analytics Market for Automotive, Revenue (USD Million) 2018 – 2032 68

FIG NO. 38. India Geospatial Analytics Market for Others, Revenue (USD Million) 2018 – 2032 69

FIG NO. 39. India Geospatial Analytics Market Revenue, 2018 – 2032 (USD Million) 70

List of Tables

TABLE NO. 1. : India Geospatial Analytics Market: Snapshot 21

TABLE NO. 2. : Drivers for the Geospatial Analytics Market: Impact Analysis 25

TABLE NO. 3. : Restraints for the Geospatial Analytics Market: Impact Analysis 27

TABLE NO. 4. : India Geospatial Analytics Market Revenue, By Component, 2018 – 2023 (USD Million) 71

TABLE NO. 5. : India Geospatial Analytics Market Revenue, By Component, 2024 – 2032 (USD Million) 71

TABLE NO. 6. : India Geospatial Analytics Market Revenue, By Deployment Mode, 2018 – 2023 (USD Million) 72

TABLE NO. 7. : India Geospatial Analytics Market Revenue, By Deployment Mode, 2024 – 2032 (USD Million) 72

TABLE NO. 8. : India Geospatial Analytics Market Revenue, By Enterprise Size, 2018 – 2023 (USD Million) 73

TABLE NO. 9. : India Geospatial Analytics Market Revenue, By Enterprise Size, 2024 – 2032 (USD Million) 73

TABLE NO. 10. : India Geospatial Analytics Market Revenue, By Type, 2018 – 2023 (USD Million) 74

TABLE NO. 11. : India Geospatial Analytics Market Revenue, By Type, 2024 – 2032 (USD Million) 74

TABLE NO. 12. : India Geospatial Analytics Market Revenue, By Industry Vertical, 2018 – 2023 (USD Million) 75

TABLE NO. 13. : India Geospatial Analytics Market Revenue, By Industry Vertical, 2024 – 2032 (USD Million) 75

Frequently Asked Questions

What is the current size of the India Geospatial Analytics Market?

The India Geospatial Analytics Market was valued at USD 2,434.26 million in 2023 and is projected to reach USD 6,557.19 million by 2032, growing at a CAGR of 11.6% during the forecast period.

What factors are driving the growth of the India Geospatial Analytics Market?

Growth is driven by government initiatives like Digital India, liberalized data policies, increasing use in agriculture and smart cities, and the proliferation of IoT and mobile devices.

What are some challenges faced by the India Geospatial Analytics Market?

Major challenges include concerns over data privacy, lack of skilled professionals, and high implementation costs, particularly for small and medium enterprises.

Who are the major players in the India Geospatial Analytics Market?

Leading players include ESRI India, Trimble Inc., Hexagon AB, RMSI, SatSure, Geospoc, and SkyMap Global.

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