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China Geospatial Analytics Market

China 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
China Geospatial Analytics Market Size 2024	USD 10,270.78 million
China Geospatial Analytics Market, CAGR	11.5%
China Geospatial Analytics Market Size 2032	USD 27,427.74 million

Market Overview:

China Geospatial Analytics Market size was valued at USD 10,270.78 million in 2023 and is anticipated to reach USD 27,427.74 million by 2032, at a CAGR of 11.5% during the forecast period (2023-2032).

Several key drivers are propelling the growth of China’s geospatial analytics market. Foremost is the robust government investment in infrastructure development and smart city initiatives, which necessitate advanced geospatial solutions for efficient planning and management. Additionally, the rapid adoption of advanced technologies such as artificial intelligence (AI), machine learning, and big data analytics is enhancing the capabilities of geospatial analysis, enabling more precise and real-time decision-making. The expansion of 5G networks further facilitates the integration and transmission of geospatial data, supporting applications in autonomous vehicles, urban planning, and environmental monitoring. Moreover, the increasing availability of high-resolution satellite imagery and the development of cloud-based geospatial platforms are making these technologies more accessible and scalable across various industries.

Regionally, the eastern provinces of China, including Beijing, Shanghai, and Guangdong, are at the forefront of geospatial analytics adoption, driven by their advanced infrastructure and concentration of technology enterprises. These areas are leveraging geospatial technologies for urban planning, transportation management, and environmental monitoring. Meanwhile, western and central regions are gradually increasing their adoption, particularly in agriculture and natural resource management, as part of broader efforts to promote balanced regional development. The government’s emphasis on digital transformation and the integration of geospatial analytics into national development strategies are expected to further stimulate growth across all regions.

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Market Insights:

The China Geospatial Analytics Market is expected to grow significantly, driven by a projected CAGR of 11.5% between 2023 and 2032, reflecting rising demand across both public and private sectors.
Government initiatives such as the “Digital China” strategy and smart city projects are key growth drivers, accelerating the deployment of geospatial tools in urban planning and infrastructure management.
Integration of AI, machine learning, and big data analytics into geospatial platforms is enabling real-time insights and automation, expanding use cases in sectors like logistics, autonomous transport, and environmental monitoring.
China’s investment in satellite infrastructure, including the BeiDou system, is enhancing the accuracy of geospatial data, supporting critical applications in agriculture, mining, and national security.
Private sector adoption is accelerating, especially in real estate, telecommunications, and energy, where geospatial analytics improves asset tracking, demand forecasting, and resource planning.
Challenges persist due to strict data privacy regulations, high implementation costs, and a shortage of skilled geospatial professionals, which limit adoption for SMEs and international firms.
Regionally, eastern China leads the market due to technological advancement and urbanization, while central and western regions are gradually expanding usage, particularly in agriculture and resource management.

Report scope

This report segments the China Geospatial Analytics Market as follow

China Geospatial Analytics Market

Market Drivers:

Government Initiatives and Smart City Development

China’s geospatial analytics market is witnessing robust growth, significantly fueled by strong government initiatives aimed at digital transformation and urban modernization. The central and regional governments are heavily investing in smart city development projects, which rely on geospatial technologies for urban planning, traffic optimization, public safety, and infrastructure management. The “New Urbanization Plan” and “Digital China” strategy both emphasize the integration of spatial intelligence into urban ecosystems to enhance livability and sustainability. These policies have led to widespread deployment of geospatial platforms in planning, zoning, disaster risk assessment, and utilities management, positioning geospatial analytics as a critical enabler of China’s broader developmental goals.

Technological Advancements and AI Integration

Rapid advancements in technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics are transforming the landscape of geospatial analytics in China. These innovations allow for enhanced spatial data processing, predictive modeling, and real-time insights across various sectors. By embedding AI into geospatial systems, organizations can automate map generation, pattern recognition, and anomaly detection, thereby accelerating decision-making processes. For instance, FlyPix AI provides AI-powered geospatial analysis for sectors like energy and agriculture, offering real-time insights through deep learning algorithms and seamless integration with existing GIS systems. Additionally, China’s 5G network infrastructure supports faster transmission and processing of geospatial data, enabling high-performance applications in autonomous vehicles, smart logistics, and environmental monitoring. The synergy between AI and geospatial analytics is creating new opportunities for innovation across public and private sectors.

Expansion of Remote Sensing and Satellite Capabilities

China’s growing satellite infrastructure, including the BeiDou Navigation Satellite System, is a cornerstone for the country’s geospatial capabilities. The increasing availability of high-resolution satellite imagery and remote sensing data enhances the accuracy and granularity of geospatial analysis. For instance, The Jilin-1 constellation, operated by Chang Guang Satellite Technology Co., Ltd., consists of over 117 satellites as of early 2025, capable of observing any point on the globe up to 40 times per day, and providing sub-meter resolution imagery for applications in land surveys, urban planning, and disaster monitoring. These resources are widely used in sectors such as agriculture, mining, water resource management, and environmental protection. The Chinese government and private firms are also investing in Earth observation satellites to strengthen surveillance, border security, and disaster preparedness. The integration of satellite-derived data with ground-based sensor networks further enables multi-dimensional analysis, contributing to more informed decision-making at both the national and local levels.

Emergence of Geospatial Analytics in Financial Services

The financial sector in China is beginning to harness geospatial analytics for market analysis and risk assessment. By analyzing spatial data related to economic activities, consumer behavior, and regional development, financial institutions can gain insights into market trends and investment opportunities. Additionally, geospatial analytics aids in assessing risks associated with natural disasters and socio-economic factors, enabling more informed decision-making in lending and investment. This emerging application area represents a new frontier for geospatial analytics, expanding its influence beyond traditional sectors.

Market Trends:

Integration of Geospatial Analytics in Autonomous Vehicle Development

China’s rapid advancement in autonomous vehicle technology is significantly influencing the geospatial analytics market. The country anticipates having approximately 30 million autonomous vehicles on its roads by 2025, necessitating high-definition mapping and real-time spatial data processing for safe and efficient navigation. Geospatial analytics provides the foundational infrastructure for these vehicles, enabling precise localization, obstacle detection, and route optimization. This integration is not only propelling the automotive sector but also fostering innovation in related industries such as logistics and urban planning.

Expansion of Geospatial Applications in Environmental Monitoring

Environmental concerns are driving the adoption of geospatial analytics in China. The technology is increasingly utilized for monitoring air and water quality, managing natural resources, and assessing the impacts of climate change. By leveraging satellite imagery and spatial data, authorities can track environmental changes over time, identify pollution sources, and implement targeted remediation strategies. For instance, China has launched a series of Synthetic Aperture Radar (SAR) satellites, such as Huanjing-2E, which provide 5-meter resolution radar imagery for disaster prevention, environmental protection, and natural resource management. This trend underscores the role of geospatial analytics as a critical tool in China’s efforts to achieve sustainable development and environmental conservation goals.

Growth of Geospatial Analytics in Public Health Management

The COVID-19 pandemic highlighted the importance of geospatial analytics in public health. In China, spatial data analysis has been instrumental in tracking disease outbreaks, managing healthcare resources, and planning vaccination campaigns. By mapping infection patterns and healthcare facility locations, authorities can make informed decisions to contain the spread of diseases and allocate resources effectively. This application of geospatial analytics is expected to continue expanding, contributing to more resilient and responsive public health systems.

Rising Industrial Applications and Private Sector Adoption

The growing adoption of geospatial analytics by private enterprises in sectors like logistics, telecommunications, real estate, and energy is significantly contributing to market growth. Companies are using location intelligence to optimize supply chains, manage assets, and forecast demand based on spatial patterns. For instance, real estate developers leverage geospatial insights for land valuation and market feasibility studies, while logistics companies utilize them for route planning and fleet tracking. Additionally, advancements in cloud computing have made geospatial platforms more scalable and cost-effective, encouraging small and medium-sized enterprises (SMEs) to adopt these technologies. As industries continue to digitize their operations, the relevance of geospatial analytics in strategic planning and operational efficiency will continue to rise.

Market Challenges Analysis:

Data Privacy and Security Concerns

One of the major restraints impacting the growth of the China geospatial analytics market is the heightened sensitivity around data privacy and national security. Geospatial technologies inherently rely on the collection, storage, and analysis of location-based data, which often includes sensitive information about individuals, infrastructure, and national assets. Stringent regulations around data localization, such as the Data Security Law and the Personal Information Protection Law (PIPL), impose compliance burdens on both domestic and foreign players. For example, China’s revised State Secrets Law, updated in August 2024, has introduced more stringent regulations on the management of sensitive information, directly affecting how geospatial data-often classified as sensitive or critical-is collected, stored, and shared. These regulatory requirements can slow down project implementation, particularly for multinational corporations attempting to operate within China’s tightly controlled data environment.

High Implementation and Operational Costs

Despite technological advancements, the deployment of geospatial analytics solutions involves significant capital expenditure. The acquisition of high-resolution satellite imagery, deployment of sensor networks, investment in advanced software platforms, and recruitment of skilled personnel collectively elevate the overall cost. For many small and medium-sized enterprises (SMEs), these upfront and operational expenses present a considerable barrier to entry. Additionally, the cost of maintaining up-to-date spatial databases and integrating them with AI or cloud platforms further adds to the financial strain, limiting the broader adoption of geospatial technologies in cost-sensitive sectors.

Technical Skill Gaps and Interoperability Issues

The limited availability of skilled geospatial professionals poses another critical challenge to the market. Specialized expertise in remote sensing, GIS software, AI integration, and spatial modeling is essential for extracting actionable insights from geospatial data. However, there remains a gap between the demand for such talent and the current supply in the Chinese labor market. Moreover, interoperability issues across different platforms and data formats hinder seamless integration, especially when public and private sector datasets need to be consolidated. These challenges can delay analytics workflows and reduce the efficiency of geospatial applications across industries.

Market Opportunities:

The China geospatial analytics market presents significant growth opportunities fueled by the country’s long-term national strategies focused on digital transformation, smart infrastructure, and rural revitalization. The increasing integration of geospatial analytics in smart city development projects, particularly in tier-2 and tier-3 cities, opens new avenues for solution providers to expand their footprint. As these cities embrace data-driven governance, the demand for spatial intelligence in urban planning, traffic optimization, public safety, and utilities management is expected to surge. Moreover, initiatives under the “Digital China” and “Belt and Road” strategies are promoting cross-sector geospatial applications, especially in transport infrastructure development, land use monitoring, and environmental sustainability.

Another key opportunity lies in the expanding industrial adoption of location-based intelligence. Sectors such as agriculture, logistics, insurance, and telecommunications are increasingly recognizing the value of geospatial analytics in driving operational efficiency, forecasting risks, and enhancing customer targeting. Precision agriculture, for instance, is gaining momentum in China’s central and western provinces, where geospatial tools assist in monitoring crop health, optimizing irrigation, and managing soil conditions. Similarly, the proliferation of e-commerce and last-mile delivery services is boosting demand for real-time geospatial tracking and route optimization. Furthermore, the rising availability of open-source geospatial tools and cloud-based analytics platforms is reducing entry barriers for startups and SMEs, enabling broader market participation and innovation. These dynamics collectively signal strong, untapped growth potential across diverse verticals in China’s evolving digital economy.

Market Segmentation Analysis:

The China geospatial analytics market is segmented across five key categories: component, deployment mode, organization size, type, and industry vertical.

By component, the software segment holds the largest market share, driven by rising demand for GIS platforms, spatial data analysis tools, and visualization software. However, the services segment is witnessing faster growth, as organizations increasingly seek consultation, integration, and managed services to support their digital transformation initiatives.

By deployment mode, the cloud segment is experiencing robust adoption due to its scalability, cost-efficiency, and real-time data processing capabilities. On-premise deployment remains preferred in government and defense sectors where data security and compliance are paramount.

By organization size, large enterprises dominate the market owing to their investment capacity and advanced infrastructure. However, small and medium-sized enterprises (SMEs) are steadily adopting geospatial solutions, facilitated by the availability of affordable cloud-based platforms.

By type, network and location analytics account for a substantial portion of the market, fueled by growing applications in logistics, transportation, and urban planning. Geovisualization and surface and field analytics are also gaining traction, especially in sectors like agriculture and environmental monitoring. The “others” category includes emerging applications such as disaster response and smart utilities.

By industry verticals, government and defense collectively lead the market, followed by engineering and construction. Environmental monitoring is a fast-emerging segment, spurred by national sustainability goals. Additionally, mining, automotive, and manufacturing industries are increasingly integrating geospatial tools to enhance operational precision and resource planning.

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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 China geospatial analytics market demonstrates varying degrees of adoption and growth across its key regional segments, reflecting disparities in infrastructure, urbanization, and industrial concentration. Eastern China holds the largest market share, accounting for approximately 46% of the national geospatial analytics market in 2024. This dominance is primarily attributed to the high density of urban centers such as Shanghai, Beijing, Hangzhou, and Nanjing, which serve as hubs for smart city initiatives, technology companies, and government institutions. These cities actively deploy geospatial technologies for traffic optimization, infrastructure planning, public safety, and real-time monitoring, supported by strong digital infrastructure and investment flows.

Northern China follows with a market share of roughly 21%, led by provinces like Tianjin, Hebei, and Shandong. This region benefits from a combination of industrial development and proactive government-led initiatives in land use management and environmental surveillance. The presence of energy-intensive sectors and large-scale urban projects has accelerated the need for spatial intelligence to manage pollution, land zoning, and emergency response systems. As digital transformation continues in these provinces, geospatial analytics are being integrated into policy design and resource allocation efforts.

Central and Western China jointly contribute around 25% of the market share, with growing investments in rural modernization, agriculture, and resource management. Provinces such as Sichuan, Chongqing, and Shaanxi are leveraging geospatial analytics to support precision farming, disaster risk reduction, and infrastructure expansion in challenging terrains. While these areas historically lagged in digital maturity, increasing deployment of cloud platforms and satellite-based monitoring is narrowing the technology gap.

Southern China, including Guangdong, Fujian, and Hainan provinces, captures the remaining 8% of the market. Though relatively smaller in share, this region is witnessing rapid growth, driven by its booming logistics sector, coastal infrastructure development, and port management initiatives. With rising adoption of location-based analytics and IoT-driven applications, Southern China is emerging as a high-potential zone for future expansion.

Key Player Analysis:

SuperMap
ai
SAP SE
Google, Inc.
Bentley Systems, Incorporated
Alteryx, Inc.
Oracle Corporation
Surveys and Mapping China
Trimble, Inc.
Esri
Microsoft Corporation
Gaode Map (AutoNavi)
Zondy Cyber Group
Others

Competitive Analysis:

The China geospatial analytics market is characterized by a moderately concentrated competitive landscape, featuring a blend of domestic and international players. Leading domestic companies include Qianxun Spatial Intelligence, SZ Soarability Technology LLC, Jiangsu Xingyue Surveying and Mapping Technology Co., Ltd., Zhejiang Zhenshan Technology Co., Ltd., and Weihai Wuzhou Navi-Tech. These firms have established strong footholds in sectors such as urban planning, agriculture, and infrastructure development. Internationally, companies like Esri China, Hexagon AB, and Trimble Inc. have a significant presence, offering advanced geospatial solutions tailored to the Chinese market. The competitive dynamics are further intensified by the emergence of innovative startups such as GeoQ and Mapuni, which are leveraging cutting-edge technologies to address niche market needs. The market’s growth is propelled by increasing demand for location-based services, smart city initiatives, and advancements in technologies like AI and IoT. As a result, companies are focusing on strategic partnerships, product innovation, and localization strategies to enhance their market positions in this evolving landscape.

Recent Developments:

In April 2025, Google announced the integration of new geospatial analytics datasets and capabilities from Earth Engine and Google Maps Platform directly into BigQuery, its unified data-to-AI platform. This development allows users to access and analyze fresh, comprehensive global geospatial data within BigQuery, streamlining data discovery and integration for infrastructure asset management and sustainability insights. The new features leverage Google’s extensive satellite imagery and Street View data, making advanced geospatial analytics more accessible to analysts and decision-makers.
In June 2024, SuperMap officially launched its latest GIS product, SuperMap GIS 2024, at the Geospatial Intelligence Software Technology Conference in Beijing. This new release integrates advanced geospatial AI capabilities and introduces the Geospatial AI Technology Foundation (SuperMap AIF), designed to support both platform software and application development. The SuperMap AIF enables AI-powered 3D data processing, remote sensing image analysis, spatial analysis, and intelligent agents, significantly accelerating processes such as 3D city modeling for urban planning and digital governance-from months to just hour.

Market Concentration & Characteristics:

The China geospatial analytics market demonstrates a moderate level of market concentration, comprising a mix of well-established domestic firms and globally recognized technology providers. While several key players hold significant influence across sectors such as urban planning, agriculture, and defense, the market remains open to new entrants and niche innovators. The presence of local companies with strong governmental ties provides a competitive advantage, particularly in sectors requiring compliance with national data regulations. However, foreign firms continue to maintain a competitive foothold by offering advanced, customizable solutions tailored to the Chinese landscape. The market is characterized by its rapid evolution and increasing technological sophistication. The integration of artificial intelligence, machine learning, and big data analytics is redefining the capabilities of geospatial systems, enabling faster, more accurate insights across applications. Furthermore, the expansion of digital infrastructure—including 5G networks—is enhancing data transmission and supporting real-time analytics. Despite this momentum, challenges such as data security concerns, high deployment costs, and limited skilled talent continue to shape the competitive dynamics.

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:

Geospatial analytics will become a core component in China’s smart city expansion across tier-2 and tier-3 urban regions.
Increased integration with 5G networks will enable real-time spatial data applications in autonomous transport and logistics.
Cloud-based geospatial platforms will gain traction among SMEs, driving broader market accessibility.
AI-driven analytics will enhance predictive modeling for environmental monitoring and disaster response.
Government investments will continue to prioritize geospatial tools for urban planning and infrastructure management.
Satellite imaging advancements will improve precision in agriculture, forestry, and land-use optimization.
Financial services will increasingly adopt spatial analytics for risk assessment and location-based investment strategies.
Cross-sector collaborations will stimulate innovation, particularly between tech firms and public institutions.
Educational and training programs will expand to address the shortage of skilled geospatial professionals.
Regulatory clarity on data governance will influence the pace of international partnerships and technology adoption.

CHAPTER NO. 1 : INTRODUCTION 19

1.1.1. Report Description 19

Purpose of the Report 19

USP & Key Component 19

1.1.2. Key Benefits for Stakeholders 19

1.1.3. Target Audience 20

1.1.4. Report Scope 20

CHAPTER NO. 2 : EXECUTIVE SUMMARY 21

2.1. Geospatial Analytics Market Snapshot 21

2.1.1. China 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. China Geospatial Analytics Market: Company Market Share, by Revenue, 2023 32

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

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

5.2. China 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 – CHINA 70

11.1. China 70

11.1.1. Key Highlights 70

11.2. Component 71

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

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

11.5. Deployment Mode 72

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

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

11.7. Enterprise Size 73

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

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

11.9. Type 74

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

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

11.11. Industry Vertical 75

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

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

CHAPTER NO. 12 : COMPANY PROFILES 76

12.1. SuperMap 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. Pony.ai 78

12.3. SAP SE 78

12.4. Google, Inc. 78

12.5. Bentley Systems, Incorporated 78

12.6. Alteryx, Inc. 78

12.7. Oracle Corporation 78

12.8. Surveys and Mapping China 78

12.9. Trimble, Inc. 78

12.10. Esri 78

12.11. Microsoft Corporation 78

12.12. Gaode Map (AutoNavi) 78

12.13. Zondy Cyber Group 78

12.14. Company 14 78

12.15. Company 15 78

12.16. Others 78

List of Figures

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

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

FIG NO. 3. Value Chain Analysis for China 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. China Geospatial Analytics Market for Software, Revenue (USD Million) 2018 – 2032 43

FIG NO. 13. China 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. China Geospatial Analytics Market for On-premise, Revenue (USD Million) 2018 – 2032 49

FIG NO. 19. China 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. China Geospatial Analytics Market for Surface and Field Analytics, Revenue (USD Million) 2018 – 2032 55

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

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

FIG NO. 27. China 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. China Geospatial Analytics Market for Mining and Manufacturing, Revenue (USD Million) 2018 – 2032 63

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

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

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

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

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

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

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

List of Tables

TABLE NO. 1. : China 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. : China Geospatial Analytics Market Revenue, By Component, 2018 – 2023 (USD Million) 71

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

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

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

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

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

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

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

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

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

Frequently Asked Questions

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

The China Geospatial Analytics Market was valued at USD 10,270.78 million in 2023 and is projected to reach USD 27,427.74 million by 2032, growing at a CAGR of 11.5% during the forecast period.

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

Growth is driven by government investments in smart cities, the adoption of AI and big data technologies, the expansion of 5G networks, and increased access to high-resolution satellite imagery.

What are the key segments within the China Geospatial Analytics Market?

The market is segmented by component (software, services), deployment mode (on-premise, cloud), organization size (large enterprises, SMEs), type (network analytics, geovisualization, etc.), and industry verticals such as government, defense, agriculture, and construction.

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

Key challenges include data privacy regulations, high implementation costs, interoperability issues, and a shortage of skilled professionals.

Sushant Phapale

ICT & Automation Expert

Sushant is an expert in ICT, automation, and electronics with a passion for innovation and market trends.

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