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South Korea Geospatial Analytics Market

South Korea 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
South Korea Geospatial Analytics Market Size 2023	USD 3,579.49 million
South Korea Geospatial Analytics Market, CAGR	10.01%
South Korea Geospatial Analytics Market Size 2032	USD 8,504.79 million

Market Overview:

South Korea Geospatial Analytics Market size was valued at USD 3,579.49 million in 2023 and is anticipated to reach USD 8,504.79 million by 2032, at a CAGR of 10.1% during the forecast period (2023-2032).

Several factors are propelling the growth of geospatial analytics in South Korea. The government’s active investment in smart cities and public infrastructure requires accurate geospatial insights to support urban planning and policy development. Widespread use of mobile devices and location-based services is generating vast amounts of spatial data, fueling demand for advanced analytics tools. Additionally, the application of AI and ML in spatial analytics is streamlining complex data processing tasks and enhancing predictive modeling. The rise in natural disaster risks has also prompted the government to invest in geospatial technologies for early warning systems. Moreover, the need for efficient logistics and traffic management in densely populated cities is further stimulating market demand. Private sector innovation and growing startup participation in geospatial technology are also strengthening the domestic ecosystem. The increasing demand for real-time data visualization and dashboard integration in municipal planning adds another layer of growth momentum.

Urban areas across South Korea are at the forefront of adopting geospatial analytics due to ongoing smart city projects and infrastructure modernization efforts. The incorporation of GIS technologies in metropolitan governance supports real-time monitoring of utilities, transportation networks, and environmental conditions. Cities such as Seoul, Busan, and Incheon are leading in the implementation of digital twins and integrated spatial platforms. Coastal and industrial regions are also leveraging geospatial analytics for land use management, disaster preparedness, and environmental protection. Additionally, regional governments are collaborating with academic and private sector institutions to develop customized geospatial solutions for local development needs. The increased focus on climate resilience and urban sustainability is pushing more regions to adopt spatial analytics tools. Enhanced access to open geospatial data and satellite imagery is also driving innovation at the local level.

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Market Insights:

The South Korea Geospatial Analytics market was valued at USD 3,579.49 million in 2023 and is projected to reach USD 8,504.79 million by 2032, growing at a CAGR of 10.1% during the forecast period (2023–2032).
Government initiatives, including investments in smart cities and public infrastructure, are driving the integration of geospatial technologies into urban planning and governance frameworks.
The incorporation of artificial intelligence (AI) and machine learning (ML) into geospatial analytics is enhancing data processing capabilities, enabling more accurate predictive modeling and real-time decision-making.
Key sectors such as logistics, agriculture, energy, and utilities are increasingly adopting geospatial analytics to optimize operations, improve efficiency, and support renewable energy integration.
South Korea’s vulnerability to natural disasters has led to increased investment in geospatial technologies for early warning systems, hazard mapping, and emergency response planning.
Major cities like Seoul, Busan, and Incheon are leading in the implementation of digital twins and integrated spatial platforms, facilitating real-time monitoring of utilities, transportation networks, and environmental conditions.
Regional governments are partnering with academic and private sector institutions to develop customized geospatial solutions, addressing local development needs and promoting climate resilience and urban sustainability.

Report Scope

This report segments the South Korea Geospatial Analytics Market as follow

Market Drivers:

Government Support and Smart City Development

The South Korean government’s strategic commitment to digital transformation and smart city development serves as a primary catalyst for the geospatial analytics market. National policies encouraging the adoption of intelligent infrastructure and urban digitization are fostering the integration of geographic information systems (GIS) into planning and governance frameworks. Initiatives such as the Smart City National Project are promoting the use of real-time spatial data in traffic control, waste management, and public safety. These large-scale projects require advanced geospatial solutions to collect, analyze, and visualize location-based data for effective decision-making. Moreover, government-funded programs are creating a favorable regulatory environment, stimulating both domestic and international investment in geospatial technologies.

Technological Advancements and Integration of AI/ML

The rapid advancement of artificial intelligence (AI), machine learning (ML), and big data analytics is significantly enhancing the capabilities of geospatial analytics in South Korea. These technologies are enabling automated data processing, predictive modeling, and pattern recognition within vast geospatial datasets. By integrating AI and ML algorithms into GIS platforms, organizations can uncover actionable insights faster and more accurately than ever before. This integration is particularly valuable in applications such as climate monitoring, asset tracking, and disaster risk assessment, where real-time data interpretation is critical. The proliferation of 5G infrastructure across South Korea further strengthens this trend by allowing faster data transmission and seamless connectivity for remote sensing and mobile mapping technologies.

Rising Adoption Across Key Industries

The increasing deployment of geospatial analytics in various industry verticals is another major driver of market growth. In logistics and transportation, companies are utilizing location intelligence to optimize delivery routes, monitor fleet movement, and enhance supply chain efficiency. The agriculture sector is leveraging precision farming techniques powered by geospatial data to increase crop yields and monitor land conditions. Meanwhile, the energy and utility sectors are employing spatial analytics to manage infrastructure, predict maintenance needs, and support renewable energy integration. For instance, in May 2024, Swift Navigation collaborated with SK Telecom to launch AI-powered location-based products in South Korea, using Skylark’s cloud-based positioning service to enhance mobility, UAVs, ADAS vehicles, and tracking systems with centimeter-level accuracy. These industry-specific applications demonstrate the growing reliance on geospatial technologies to improve operational efficiency, minimize costs, and enhance service delivery, thereby expanding the market footprint.

Environmental Monitoring and Disaster Management

South Korea’s geographic vulnerability to natural disasters such as typhoons, floods, and earthquakes has heightened the importance of geospatial analytics in risk mitigation and emergency response. For instance, the government and disaster management agencies are adopting spatial technologies to map hazard-prone zones, monitor weather patterns, and develop real-time alert systems. Geospatial data is instrumental in managing evacuations, resource allocation, and post-disaster recovery operations. Additionally, growing environmental awareness and sustainability efforts are encouraging the use of geospatial tools in monitoring air and water quality, land use changes, and biodiversity. These environmental applications underscore the role of geospatial analytics as a crucial tool for informed decision-making in crisis and sustainability scenarios.

Market Trends:

Emergence of Digital Twin Technology

One of the most transformative trends in South Korea’s geospatial analytics market is the rising adoption of digital twin technology. Urban developers and municipalities are increasingly using digital twin virtual replicas of physical environments to model, simulate, and optimize infrastructure and urban planning. For example, Incheon Metropolitan, one of the largest cities in South Korea, has utilized a digital twin and its geospatial infrastructure to become a smart city, allowing city agencies and the public to collaborate on addressing current and future challenges. These platforms are enabling city planners to analyze spatial relationships, test development scenarios, and identify infrastructure bottlenecks in a virtual environment before implementing changes in the real world. Digital twins are also proving valuable in predictive maintenance for utilities and transportation networks, where spatial analytics support more accurate asset lifecycle management. With growing interest in digital transformation, digital twins are expected to play a pivotal role in South Korea’s smart infrastructure roadmap.

Satellite and Remote Sensing Advancements

The rapid evolution of satellite technology and remote sensing capabilities is fueling the expansion of geospatial analytics across multiple sectors. South Korea has increased its investment in domestic satellite programs, supporting the development of Earth observation platforms that deliver high-resolution, real-time imagery. These data sources are now being used in fields such as agriculture, forestry, maritime monitoring, and environmental management. Enhanced satellite imagery enables more detailed vegetation mapping, coastal surveillance, and land classification efforts. The availability of multispectral and hyperspectral imagery, combined with advanced spatial analysis software, is broadening the application landscape and enabling more granular spatial decision-making across industries.

Cloud-Based GIS Adoption

The transition from on-premise GIS systems to cloud-based geospatial platforms is another defining trend in South Korea’s analytics market. Cloud infrastructure allows for scalable data processing, seamless collaboration, and remote accessibility key advantages for both public institutions and private enterprises. Organizations are leveraging cloud-enabled geospatial platforms to conduct real-time mapping, share spatial data across departments, and integrate third-party data sources with ease. This trend is particularly relevant for companies in logistics, retail, and infrastructure management, where location intelligence must be processed rapidly and collaboratively. Moreover, cloud-native geospatial tools are lowering the barrier to entry for small and medium-sized enterprises (SMEs), enabling them to access advanced analytics without extensive infrastructure investment.

Focus on Sustainability and Urban Resilience

South Korea’s push toward environmental sustainability and climate resilience is also shaping the evolution of its geospatial analytics market. Urban planners and environmental agencies are adopting spatial analytics to monitor greenhouse gas emissions, assess the impact of climate-related events, and design nature-based solutions for cities. For example, the National Institute of Environmental Research (NIER) has increased satellite-based air quality monitoring activities by 15% from 2020 to 2023, focusing on fine dust and greenhouse gas emissions. These tools are helping stakeholders evaluate ecological risks, enhance disaster preparedness, and implement sustainable land-use practices. Additionally, geospatial data is increasingly used in green infrastructure planning, such as tracking green roof coverage and analyzing heat island effects. As the government aligns more closely with international sustainability goals, geospatial analytics is becoming a critical enabler of data-driven climate action strategies.

Market Challenges Analysis:

High Implementation Costs and Technical Complexity

One of the primary challenges in the South Korea geospatial analytics market is the high initial cost associated with implementing advanced geospatial systems. For instance, deploying GIS platforms, integrating AI and machine learning capabilities, and acquiring high-resolution satellite imagery require significant investment, which can be a barrier for small and medium-sized enterprises (SMEs) and public sector bodies with limited budgets. Additionally, the technical complexity of configuring geospatial systems, ensuring data interoperability, and training personnel creates further hurdles in achieving widespread adoption. Many organizations lack the internal expertise to fully utilize the capabilities of geospatial analytics, which limits its penetration beyond large corporations and specialized institutions.

Data Privacy Concerns and Regulatory Limitations

Another critical challenge facing the market is the growing concern around data privacy and regulatory compliance. Geospatial analytics often involves the collection and processing of location-based data, which can include sensitive personal or corporate information. South Korea has implemented stringent data protection laws that restrict the use and sharing of such data, posing operational challenges for companies attempting to scale their analytics capabilities. These regulations can hinder the use of real-time geospatial data and cross-border data collaboration, especially for international firms operating within the country. Moreover, inconsistencies in data formats and quality standards across different regions and agencies create integration difficulties, impeding the development of unified, nationwide geospatial frameworks.

Market Opportunities:

South Korea’s strong foundation in digital infrastructure and its ambitious smart city agenda create significant opportunities for the expansion of geospatial analytics. As urbanization intensifies, the demand for real-time spatial data to support intelligent transportation systems, public safety monitoring, and resource management is expected to grow. The government’s continued investment in next-generation technologies such as 6G, autonomous vehicles, and drone surveillance opens new application areas for geospatial solutions. These developments provide a fertile ground for technology firms to introduce innovative platforms that integrate spatial data with emerging technologies, offering enhanced precision and situational awareness. The convergence of geospatial analytics with Internet of Things (IoT) systems further presents opportunities to develop predictive urban management tools that enable cities to operate more efficiently.

Additionally, the growing emphasis on environmental monitoring and disaster resilience presents another avenue for market expansion. South Korea’s susceptibility to natural disasters, combined with its commitment to sustainability, is encouraging the deployment of geospatial tools in environmental impact assessments, land-use planning, and climate adaptation initiatives. Public-private partnerships focused on resilience planning and green infrastructure development are increasingly incorporating spatial analytics to drive data-informed decisions. Moreover, opportunities exist in sectors such as agriculture, healthcare, and energy, where location intelligence can support everything from crop monitoring and disease tracking to asset management and grid optimization. As data accessibility improves and geospatial literacy expands, the market is likely to witness a rise in demand for customized, cloud-based, and real-time geospatial analytics solutions tailored to both enterprise and government needs.

Market Segmentation Analysis:

The South Korea geospatial analytics market is segmented

By component into software and services. The software segment dominates due to its essential role in data visualization, spatial modeling, and decision support. However, the services segment is witnessing rapid growth as businesses increasingly rely on consulting, system integration, and managed services to implement and maintain geospatial platforms.

By deployment mode, the market is categorized into on-premise and cloud-based solutions. While on-premise systems remain relevant among government and defense entities for data security reasons, cloud deployment is gaining traction across private enterprises. Cloud platforms offer scalability, real-time access, and integration with AI and IoT systems, making them attractive for SMEs and large enterprises seeking flexibility.

By organization size, large enterprises currently lead the market due to greater financial resources and infrastructure. However, SMEs are emerging as significant contributors, driven by the adoption of cost-effective, cloud-based geospatial tools that require minimal setup and offer high usability.

By type, network and location analytics hold a substantial share, supported by demand from logistics, transportation, and telecom sectors. Surface and field analytics are increasingly used in agriculture and infrastructure monitoring, while geovisualization tools are gaining popularity for urban planning and public safety applications.

By industry verticals, government, defense and security, and environmental monitoring sectors are the primary adopters of geospatial analytics. Meanwhile, industries such as automotive, construction, and manufacturing are accelerating their use of spatial data to optimize operations, plan infrastructure, and enhance situational awareness in dynamic environments.

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:

In South Korea, regional adoption of geospatial analytics varies significantly based on levels of urbanization, industrial concentration, and government-led digital initiatives. The Seoul Capital Area, encompassing Seoul, Incheon, and Gyeonggi Province, holds the largest market share at 58%. This dominance is attributed to its status as the nation’s political, economic, and technological hub. The concentration of government agencies, smart city pilot projects, and corporate headquarters has driven widespread adoption of geospatial technologies. Seoul, in particular, is a frontrunner in implementing digital twin platforms and real-time spatial data systems to support urban management, public transportation, and sustainability efforts.

The Yeongnam region, including major cities such as Busan, Daegu, and Ulsan, accounts for 22% of the market share. This region benefits from its strong industrial base and strategic coastal location, which supports use cases in port logistics, environmental monitoring, and maritime safety. Busan, as South Korea’s largest port city, has integrated geospatial analytics into its smart logistics systems and coastal surveillance infrastructure. Ulsan, a manufacturing hub, is using spatial technologies to manage industrial zones and monitor environmental compliance.

The Honam region, which includes Gwangju and Jeonju, contributes 11% to the market. Though less urbanized than other regions, Honam is leveraging geospatial analytics in public infrastructure, rural development, and environmental conservation. Gwangju’s growing focus on becoming a center for artificial intelligence is fostering collaborations in geospatial research and technology incubation.

The remaining 9% of the market is distributed across other regions, including Chungcheong, Gangwon, and Jeju. These areas are focusing on land-use management, tourism planning, and natural resource monitoring. For instance, Jeju Island is utilizing geospatial tools to balance tourism growth with ecological preservation, while Gangwon leverages spatial data for forest management and disaster preparedness.

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Key Player Analysis:

Hancom MDS
SuperMap Korea
Kakao Mobility
Geomatrix
SAP SE
Google, Inc.
Bentley Systems, Incorporated
Alteryx, Inc.
Oracle Corporation
SK Telecom
Trimble, Inc.
Esri
Microsoft Corporation
Spatial Information Technology Inc. (SIT)
Others

Competitive Analysis:

The South Korea geospatial analytics market is moderately competitive, with a mix of global technology firms, domestic providers, and specialized startups shaping the landscape. Leading international players such as Esri, Hexagon AB, and Trimble Inc. maintain strong market presence through robust software platforms and strategic partnerships with public institutions. Domestic companies, including LG CNS and Hancom MDS, are increasingly investing in geospatial capabilities, leveraging their local expertise and integration with broader digital transformation projects. The market also benefits from research institutions and government-backed innovation centers, which drive the development of customized solutions tailored to national infrastructure and policy objectives. Startups focusing on artificial intelligence, drone mapping, and real-time analytics are further enriching the competitive environment. As demand grows across sectors, companies are focusing on expanding their service offerings, enhancing interoperability, and integrating cloud-based and AI-driven technologies to differentiate their solutions and gain competitive advantage.

Recent Developments:

In November 2024, Google Cloud expanded its strategic partnership with NTT DATA to accelerate the adoption of cloud-based data analytics and generative AI solutions across Asia Pacific. This collaboration aims to empower enterprises in sectors such as healthcare, financial services, manufacturing, and the public sector with advanced AI and data analytics capabilities tailored to the region’s unique needs. The partnership is expected to drive significant growth in NTT DATA’s cloud business in APAC, targeting a tenfold increase over three years.
In February 2024, John Deere announced a strategic partnership with Hexagon’s Leica Geosystems to accelerate the digital transformation of the heavy construction industry. This collaboration aims to bring advanced geospatial technologies and solutions to construction professionals worldwide, enhancing efficiency and innovation in the sector.
In January 2024, Maxar Technologies was awarded a contract by the National Geospatial-Intelligence Agency (NGA) to supply high-resolution satellite images and data for producing 3D maps and model data. This initiative focuses on the Indo-Pacific region, supporting U.S. military operations and strategic mapping needs across South Asia, Southeast Asia, Oceania, and the Pacific islands.

Market Concentration & Characteristics:

The South Korea geospatial analytics market exhibits a moderate level of concentration, characterized by the presence of both global leaders and domestic innovators. International firms such as Esri, Hexagon AB, and Trimble Inc. maintain a significant foothold, offering comprehensive geospatial solutions across various sectors. Concurrently, local companies like LG CNS and Hancom MDS are enhancing their market positions by leveraging deep regional expertise and aligning with national digital transformation initiatives. The market is distinguished by its rapid adoption of advanced technologies, including artificial intelligence (AI), machine learning (ML), and 5G connectivity, which are integrated into geospatial analytics to enhance real-time data processing and predictive modeling. This technological integration supports applications in smart city development, environmental monitoring, and disaster management. Furthermore, the government’s proactive stance on digital infrastructure and open data policies fosters an environment conducive to innovation and collaboration among stakeholders.

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 adoption will accelerate due to expanding smart city projects across urban centers.
Increased integration of AI and machine learning will enhance spatial data interpretation and decision-making.
Cloud-based GIS platforms will gain traction among SMEs due to cost efficiency and scalability.
Digital twin technologies will be more widely implemented in public infrastructure and urban planning.
Government investments in digital transformation will continue to drive demand for real-time spatial insights.
The defense and security sector will expand its use of geospatial tools for surveillance and threat detection.
Growing environmental concerns will spur the use of spatial analytics in climate monitoring and sustainability initiatives.
Public-private partnerships will support the development of localized geospatial applications and research.
Improved satellite imaging capabilities will open new use cases in agriculture, energy, and disaster management.
Cross-sector collaboration will foster innovation in geospatial applications tailored to South Korea’s urban and regional needs.

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. South Korea 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. South Korea Geospatial Analytics Market: Company Market Share, by Revenue, 2023 32

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

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

5.2. South Korea 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 – SOUTH KOREA 70

11.1. South Korea 70

11.1.1. Key Highlights 70

11.2. Component 71

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

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

11.5. Deployment Mode 72

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

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

11.7. Enterprise Size 73

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

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

11.9. Type 74

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

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

11.11. Industry Vertical 75

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

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

CHAPTER NO. 12 : COMPANY PROFILES 76

12.1. Hancom MDS 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. SuperMap Korea 78

12.3. Kakao Mobility 78

12.4. Geomatrix 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. SK Telecom 78

12.11. Trimble, Inc. 78

12.12. Esri 78

12.13. Microsoft Corporation 78

12.14. Geomatrix 78

12.15. Spatial Information Technology Inc. (SIT) 78

12.16. Others 78

]

List of Figures

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

List of Tables

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

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

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

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

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

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

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

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

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

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

Frequently Asked Questions

What is the current size of the South Korea Geospatial Analytics Market?

The market was valued at USD 3,579.49 million in 2023 and is projected to reach USD 8,504.79 million by 2032, growing at a CAGR of 10.1%.

What factors are driving the growth of the South Korea Geospatial Analytics Market?

Key growth drivers include government investment in smart cities, widespread use of location-based services, integration of AI/ML, disaster risk mitigation, and demand for efficient urban management.

What are some challenges faced by the South Korea Geospatial Analytics Market?

Challenges include high implementation costs, technical complexity, and regulatory concerns around data privacy and integration.

Who are the major players in the South Korea Geospatial Analytics Market?

Major players include Esri, Hexagon AB, Trimble Inc., LG CNS, and Hancom MDS, along with several emerging startups.

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