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Vietnam Geospatial Analytics Market

Vietnam 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
Vietnam Geospatial Analytics Market Size 2024	USD 236.93 million
Vietnam Geospatial Analytics Market, CAGR	12.98%
Vietnam Geospatial Analytics Market Size 2032	USD 710.63 million

Market Overview:

Vietnam Geospatial Analytics Market size was valued at USD 236.93 million in 2023 and is anticipated to reach USD 710.63 million by 2032, at a CAGR of 12.98% during the forecast period (2023-2032).

Several key factors are propelling the growth of geospatial analytics in Vietnam. The government’s commitment to developing smart cities has led to increased reliance on geospatial data for applications such as traffic management, public safety, and energy efficiency. Advancements in satellite technology and remote sensing have made geospatial data more accessible and affordable, encouraging its use across various sectors. Additionally, the expansion of Vietnam’s telecommunications sector has amplified the demand for location-based services, further driving the adoption of geospatial analytics. The private sector is also increasingly leveraging geospatial insights for logistics optimization, asset tracking, and consumer behavior analysis. Moreover, rising awareness about climate resilience and disaster preparedness is prompting agencies to adopt spatial data tools for informed decision-making.

Geospatial analytics adoption in Vietnam varies across regions, reflecting the country’s diverse economic activities and development priorities. Urban centers like Hanoi and Ho Chi Minh City are at the forefront, utilizing geospatial technologies for infrastructure development, traffic management, and public services. In contrast, regions such as the Mekong Delta focus on applications in agriculture and water resource management, leveraging geospatial data to enhance crop yields and monitor environmental changes. The central highlands, with their emphasis on forestry and conservation, employ geospatial analytics for sustainable land use planning. This regional diversification underscores the versatility of geospatial technologies in addressing localized challenges and opportunities across Vietnam. Additionally, coastal provinces are using satellite-based monitoring systems to manage fisheries and protect marine ecosystems. Increasing regional funding and collaboration with international geospatial agencies are further enhancing adoption at the provincial level.

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Market Insights:

The market was valued at USD 236.93 million in 2023 and is projected to reach USD 710.63 million by 2032, growing at a CAGR of 12.98%, driven by smart city developments and digital transformation.
Government-backed smart city initiatives in cities like Hanoi, Ho Chi Minh City, and Da Nang are accelerating demand for GIS solutions in urban planning, traffic control, and public safety.
Rapid telecom sector growth and rising mobile usage are fueling the adoption of geospatial tools for logistics, delivery, ride-sharing, and personalized marketing via location-based services.
Agriculture and environmental agencies are integrating satellite imagery and GPS mapping to enhance crop management, water use, and climate resilience through real-time data monitoring.
Increasing international collaborations and technological advancements in AI, remote sensing, and cloud analytics are improving access to high-quality spatial data and scalable solutions.
Major challenges include limited skilled workforce, high implementation costs, and lack of standardized, high-resolution data across regions and sectors.
Regional adoption varies, with urban areas focusing on infrastructure and public services, while the Mekong Delta, Central Highlands, and coastal provinces apply geospatial tools for agriculture, conservation, and marine monitoring.

Report Scope

This report segments the Vietnam Geospatial Analytics Market as follow

Market Drivers:

Government Smart City Initiatives

The Vietnamese government’s aggressive push toward smart city development has emerged as a major driver of the geospatial analytics market. Authorities have integrated spatial data and GIS-based planning into urban infrastructure strategies to improve resource allocation, traffic management, energy distribution, and public safety. Cities like Ho Chi Minh City, Hanoi, and Da Nang are implementing digital transformation projects that require advanced mapping, real-time data monitoring, and predictive analytics—functions that geospatial technologies are uniquely positioned to provide. Ho Chi Minh City, for example, has established four priority tasks for its smart city vision by 2025: a shared database, a simulation research and forecasting center for socioeconomic policies, a smart administration center, and an information security center. This government-led adoption creates a ripple effect, prompting private players and utilities to also invest in compatible solutions to align with municipal systems and regulations.

Growth in Telecommunications and Location-Based Services

Vietnam’s rapidly expanding telecommunications sector is significantly contributing to the demand for geospatial analytics, particularly in location-based services (LBS). As smartphone penetration and 4G/5G network infrastructure improve, businesses are capitalizing on user geolocation data to deliver personalized content, optimize delivery routes, and streamline customer engagement strategies. Companies in logistics, ride-sharing, e-commerce, and retail increasingly rely on geospatial data for real-time tracking, asset management, and route optimization. This surge in mobile-based services necessitates robust spatial analysis tools, thus driving consistent market growth within Vietnam’s digital economy landscape.

Adoption in Agriculture and Environmental Monitoring

Another strong growth catalyst is the integration of geospatial analytics in precision agriculture and environmental monitoring. Vietnam’s economy is heavily reliant on agriculture, and the need for efficient water use, soil monitoring, and crop health assessment has led to increased uptake of satellite imagery, GPS mapping, and drone-based data collection. These tools allow farmers and agribusinesses to manage risks, optimize input costs, and increase yields. Additionally, in light of Vietnam’s vulnerability to climate change and natural disasters, government bodies and environmental agencies are employing geospatial technologies for early warning systems, deforestation tracking, flood mapping, and coastal zone monitoring, further strengthening the market’s relevance.

Technology Advancements and International Collaborations

Advancements in remote sensing technologies, artificial intelligence (AI), and cloud-based analytics platforms are making geospatial tools more efficient, scalable, and cost-effective. The Vietnamese market is increasingly witnessing partnerships with international geospatial data providers and technology firms, which is accelerating access to high-resolution satellite imagery and data-processing platforms. These collaborations enable local institutions and enterprises to adopt cutting-edge solutions without incurring prohibitive costs. For instance, local technology companies like VidaGIS, based in Hanoi with offices in Hue and Ho Chi Minh City, provide GIS, mapping, and satellite image solutions to both government and private clients. The growing ecosystem of tech startups and R&D investments in Vietnam also contributes to homegrown innovations in geospatial analytics, enhancing market competitiveness and fostering sector-wide digital transformation. As these technologies become more embedded in decision-making processes across sectors, the demand for geospatial analytics solutions is set to expand further.

Market Trends:

Integration of Artificial Intelligence with Geospatial Technologies

A notable trend reshaping the Vietnam geospatial analytics market is the integration of artificial intelligence (AI) and machine learning with geospatial datasets. These technologies enhance the speed and accuracy of spatial data interpretation by enabling automated classification, anomaly detection, and predictive modeling. For instance, EY Vietnam has launched Geospatial GenAI Services, which prepare AI-ready data, streamline integration, and enable automated classification, anomaly detection, and predictive modeling for business workflows. In Vietnam, this is particularly useful in monitoring land use changes, tracking illegal construction, and predicting urban expansion. AI-driven analytics are also being adopted in disaster response scenarios to analyze satellite imagery rapidly and prioritize emergency interventions. As AI becomes more accessible through cloud-based platforms, its role in augmenting geospatial analytics is expanding across both public and private sectors.

Rise of Cloud-Based Geospatial Platforms

The growing adoption of cloud computing is transforming how spatial data is stored, processed, and accessed in Vietnam. Cloud-based geospatial platforms allow real-time collaboration among stakeholders in various regions and eliminate the need for heavy on-premises infrastructure. Organizations in sectors like utilities, construction, and urban development are leveraging these platforms to access satellite imagery, generate 3D terrain models, and run simulations from remote locations. For instance, BHSoft, a leading GIS software provider, delivers cloud infrastructure and comprehensive visualizations for industries such as transportation, real estate, and government agencies, supporting real-time collaboration and efficient spatial data analytics. This trend is especially valuable for local government agencies with limited technical resources, enabling them to utilize sophisticated geospatial tools via subscription models and scalable data solutions. The shift to cloud has also improved data security, scalability, and integration with enterprise systems.

Expansion of Drone and UAV Applications

Unmanned aerial vehicles (UAVs) and drone technologies are gaining rapid traction in Vietnam’s geospatial ecosystem. Drones offer cost-effective and high-resolution data collection capabilities, particularly in terrains where satellite imagery is insufficient or delayed. Industries such as mining, real estate, and agriculture are deploying UAVs for topographic mapping, site inspection, and crop health analysis. In the public sector, drones are increasingly used in infrastructure inspection, post-disaster damage assessment, and environmental compliance monitoring. This growing reliance on aerial data collection is fostering demand for analytics software that can process and visualize drone-derived geospatial data in near real-time, reinforcing the market’s technological evolution.

Focus on Open Data and Interagency Collaboration

Vietnam is witnessing a gradual move toward open data policies and improved data sharing across government departments. This shift supports integrated planning efforts, particularly in transportation, natural resource management, and public health. Geospatial data standardization and interoperability have become focal points to ensure that different systems and agencies can communicate seamlessly. Several ministries and municipal authorities are now participating in shared geospatial platforms that facilitate unified decision-making. This trend of increased collaboration and open-data frameworks not only improves transparency and governance but also drives broader adoption of geospatial analytics across multiple sectors in Vietnam.

Market Challenges Analysis:

Limited Technical Expertise and Workforce Shortages

One of the primary challenges facing the Vietnam geospatial analytics market is the shortage of skilled professionals proficient in GIS, remote sensing, and data analytics. For instance, Vietnam’s IT sector alone is projected to need 700,000 professionals by the end of 2025, yet there is a significant gap in the supply of experts with advanced spatial data processing and analytical capabilities. Despite rising demand, universities and technical institutions have yet to produce a workforce equipped with advanced spatial data processing and analytical capabilities. This skills gap delays project implementation and forces organizations to rely heavily on external consultants or international partners, increasing operational costs. As a result, many local enterprises struggle to fully harness the potential of geospatial technologies in their operations.

Data Accessibility and Standardization Issues

Access to reliable, high-resolution spatial data remains a persistent issue in Vietnam. While government agencies and international organizations have begun to make geospatial data more available, inconsistencies in data formats, quality, and update frequency limit its practical utility. Fragmented data management practices across regions and departments hinder cross-functional integration and reduce the effectiveness of analytics platforms. Without a standardized national data framework, efforts to develop interoperable systems and centralized geospatial databases face ongoing constraints.

High Initial Investment and Operational Costs

The implementation of geospatial analytics solutions often requires significant upfront investment in infrastructure, software, and data acquisition. For many small- and medium-sized enterprises (SMEs) in Vietnam, these costs act as a deterrent. Additionally, ongoing expenses related to system maintenance, data updates, and personnel training further limit the adoption of geospatial technologies among resource-constrained organizations. Although cloud-based solutions and SaaS models are mitigating some financial barriers, affordability remains a key concern for widespread market penetration.

Concerns over Data Privacy and Security

With the increased use of real-time geospatial tracking and cloud storage, concerns surrounding data privacy and cybersecurity have intensified. Vietnam lacks a comprehensive legal framework to regulate the collection, storage, and usage of geospatial data, which raises issues related to surveillance, misuse, and unauthorized access. These legal ambiguities may discourage both public and private sector entities from fully adopting geospatial technologies, thereby restraining market growth.

Market Opportunities:

Vietnam presents a compelling opportunity for growth in the geospatial analytics market due to its accelerating digital transformation across both public and private sectors. As the country invests in smart infrastructure and digital governance, there is a growing need for spatial intelligence to support data-driven planning, resource optimization, and public service delivery. The government’s commitment to developing smart cities and enhancing e-governance platforms offers fertile ground for the deployment of geospatial technologies in urban planning, transportation management, utility mapping, and environmental monitoring. Furthermore, sectors such as agriculture, logistics, and construction are increasingly recognizing the value of geospatial insights for improving operational efficiency and sustainability outcomes.

The expanding startup ecosystem and the rising availability of international technology collaborations further amplify the market’s potential. Vietnamese enterprises and research institutions are beginning to co-develop localized solutions tailored to domestic needs, supported by access to global satellite data and AI-enhanced analytics platforms. As cloud-based GIS services become more affordable and scalable, small- and medium-sized enterprises are expected to join the adoption curve, fueling widespread implementation. Additionally, opportunities lie in developing training programs and professional certifications to bridge the skills gap, which could stimulate job creation and innovation. With continued investment in digital infrastructure, policy support for data sharing, and increased awareness of spatial solutions, Vietnam’s geospatial analytics market is well-positioned for sustained growth and technological advancement in the years ahead.

Market Segmentation Analysis:

The Vietnam Geospatial Analytics Market is segmented

By component into software and services. Software holds a significant share due to increasing demand for advanced analytical platforms that provide spatial data visualization and decision-making support. Services are also gaining traction, particularly managed and consulting services, as organizations seek customized geospatial solutions and ongoing technical support.

By deployment mode, the market is divided into on-premise and cloud segments. Cloud-based deployment is witnessing robust growth owing to its scalability, lower operational costs, and ease of access. On-premise solutions remain relevant among government and defense sectors that prioritize data security and infrastructure control.

By organization size, large enterprises dominate the market as they possess the necessary resources to adopt and integrate complex geospatial tools. However, SMEs are rapidly adopting geospatial analytics driven by the growing availability of cost-effective cloud-based solutions tailored to their operational needs.

By type, the market includes surface and field analytics, network and location analytics, geovisualization, and others. Network and location analytics lead this segment due to their critical role in infrastructure planning, transportation, and retail site optimization. Geovisualization is gaining popularity for its ability to deliver interactive spatial data representation.

By industry verticals, the government segment holds a dominant position due to smart city projects and land use management. Environmental monitoring and defense sectors also significantly contribute to demand. Additionally, mining, construction, and automotive industries are increasingly leveraging geospatial analytics to improve operational efficiency and ensure regulatory compliance, reinforcing their presence in this market.

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 Vietnam Geospatial Analytics Market exhibits diverse regional dynamics shaped by varying levels of urbanization, infrastructure development, and digital adoption. The market can be regionally segmented into Northern Vietnam, Central Vietnam, and Southern Vietnam, each contributing uniquely to the overall market expansion.

Northern Vietnam holds the largest market share, accounting for 45% of the national geospatial analytics market. This dominance is primarily attributed to the presence of the capital city, Hanoi, which serves as the administrative and political hub of the country. The government’s major smart city initiatives, infrastructure modernization projects, and land use management programs are heavily concentrated in this region. Moreover, Northern Vietnam is home to several public sector organizations and academic institutions actively engaged in geospatial research and implementation, further driving demand for analytics solutions.

Southern Vietnam follows closely with a market share of 38%. Ho Chi Minh City, Vietnam’s largest metropolitan area and financial center, is at the forefront of adopting digital technologies, including geospatial analytics. The region’s rapidly expanding transportation, logistics, and real estate sectors rely on location-based insights for urban planning and development. Additionally, Southern Vietnam experiences high private sector participation, especially in retail, automotive, and telecommunications, where spatial analytics play a critical role in operational optimization and customer engagement strategies.

Central Vietnam accounts for the remaining 17% of the market. While it holds the smallest share, the region is witnessing gradual growth driven by coastal infrastructure projects, environmental monitoring activities, and increasing interest in sustainable tourism development. Provinces such as Da Nang are emerging as regional technology hubs with growing investments in smart infrastructure and digital governance.

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Key Player Analysis:

Vietmap
Vietnam Remote Sensing Center (Vinasar)
GEODIS Vietnam
VNPT Technology
SAP SE
Google, Inc.
Bentley Systems, Incorporated
Alteryx, Inc.
Oracle Corporation
SK Telecom
Trimble, Inc.
Esri
Microsoft Corporation
CenGroup (CenLand)
FPT Information System (FPT IS)
Others

Competitive Analysis:

The Vietnam geospatial analytics market is moderately competitive, characterized by a blend of global leaders and emerging domestic firms. International players such as Esri, Hexagon AB, and Google dominate the landscape, leveraging advanced GIS platforms, AI-driven spatial analytics, and extensive global networks to serve sectors like government, defense, and infrastructure. These companies maintain a strong foothold by offering comprehensive solutions tailored to large-scale projects and complex analytical needs. Complementing these are regional and local enterprises like Geomatic Consulting International and Geoviet Consulting, which provide cost-effective, customized solutions attuned to Vietnam’s specific regulatory and operational contexts. Their localized expertise enables them to address niche market demands, particularly in sectors such as agriculture, urban planning, and environmental monitoring. The market’s competitiveness is further intensified by the increasing adoption of cloud-based geospatial solutions and the integration of AI and machine learning technologies. These advancements lower entry barriers, allowing smaller firms to innovate and capture market segments previously dominated by larger entities. Consequently, the Vietnam geospatial analytics market is poised for dynamic growth, driven by technological evolution and the diverse capabilities of its participants.

Recent Developments:

In May 2023, TomTom International B.V., a global leader in geolocation technology, expanded its collaboration with Alteryx, Inc. This partnership enables Alteryx to integrate TomTom’s Maps APIs and location data into its analytics products, such as Alteryx Designer, enhancing the spatial data and location insights capabilities available to users.
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 Vietnam geospatial analytics market exhibits a moderately concentrated structure, with a blend of international corporations and domestic enterprises shaping its competitive landscape. Global leaders such as Esri, Hexagon AB, and Google dominate the market by offering advanced GIS platforms, AI-driven spatial analytics, and comprehensive geospatial solutions tailored to large-scale projects. Complementing these are regional and local firms like Geomatic Consulting International and Geoviet Consulting, which provide cost-effective, customized solutions attuned to Vietnam’s specific regulatory and operational contexts. Their localized expertise enables them to address niche market demands, particularly in sectors such as agriculture, urban planning, and environmental monitoring. The market is characterized by a growing adoption of cloud-based geospatial solutions, integration of AI and machine learning technologies, and increased demand for real-time spatial data analysis. These advancements lower entry barriers, allowing smaller firms to innovate and capture market segments previously dominated by larger entities. Consequently, the Vietnam geospatial analytics market is poised for dynamic growth, driven by technological evolution and the diverse capabilities of its participants.

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 investment in smart city initiatives will boost demand for advanced geospatial analytics across urban planning and infrastructure projects.
The growing integration of AI and machine learning in geospatial platforms will enhance predictive modeling and decision-making capabilities.
Cloud-based deployment will expand further due to cost-efficiency, scalability, and ease of access for both SMEs and government agencies.
The defense and security sector will increase adoption for surveillance, border monitoring, and emergency response applications.
Enhanced satellite imaging and remote sensing technologies will support more precise environmental monitoring and disaster management.
The agriculture sector will leverage geospatial tools for yield optimization, precision farming, and land management.
Cross-industry collaborations between telecom, transport, and logistics firms will drive innovative use cases and new revenue streams.
Educational institutions and research centers will foster local talent, supporting sustainable market development.
Regulatory support and open geospatial data policies will encourage private sector participation and innovation.
The emergence of localized solution providers will intensify competition and expand customized offerings across regional markets.

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

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

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

5.2. Vietnam 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 – VIETNAM 70

11.1. Vietnam 70

11.1.1. Key Highlights 70

11.2. Component 71

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

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

11.5. Deployment Mode 72

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

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

11.7. Enterprise Size 73

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

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

11.9. Type 74

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

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

11.11. Industry Vertical 75

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

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

CHAPTER NO. 12 : COMPANY PROFILES 76

12.1. Vietmap 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. Vietnam Remote Sensing Center (Vinasar) 78

12.3. GEODIS Vietnam 78

12.4. VNPT Technology 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. CenGroup (CenLand) 78

12.15. FPT Information System (FPT IS) 78

12.16. Others 78

]

List of Figures

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

List of Tables

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

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

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

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

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

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

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

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

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

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

Frequently Asked Questions

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

The Vietnam Geospatial Analytics Market was valued at USD236.93 million in 2023 and is projected to reach USD 710.63 million by 2032, growing at a CAGR of 12.98%.

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

Growth is driven by smart city initiatives, advances in satellite technology, the expansion of the telecom sector, and rising demand for location-based services and disaster preparedness tools.

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

Challenges include high initial setup costs, limited technical expertise in remote regions, and data privacy concerns.

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

Major players include Esri, Hexagon AB, Google, Geomatic Consulting International, and Geoviet Consulting.

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