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Sweden Geospatial Analytics Market

Sweden Geospatial Analytics Market 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) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

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Published: | Report ID: 94409 | Report Format : Excel, PDF
REPORT ATTRIBUTE DETAILS
Historical Period 2020-2023
Base Year 2024
Forecast Period 2025-2032
Sweden Geospatial Analytics Market Size 2023 USD 536.97 million
Sweden Geospatial Analytics Market, CAGR 8%
Sweden Geospatial Analytics Market Size 2032 USD 1,076.72 million

Market Overview:

Sweden Geospatial Analytics Market size was valued at USD 536.97 million in 2023 and is anticipated to reach USD 1,076.72 million by 2032, at a CAGR of 8% during the forecast period (2023-2032).

Several key factors are propelling the growth of the geospatial analytics market in Sweden. The country’s commitment to smart city development is a significant driver, with urban areas increasingly leveraging geospatial data for infrastructure planning, traffic management, and environmental monitoring. The rollout of 5G networks is also enhancing the collection and analysis of geospatial data, enabling real-time insights and more sophisticated applications. Additionally, Sweden’s strong emphasis on sustainability and environmental protection is leading to increased use of geospatial analytics in monitoring natural resources and managing climate change impacts. Public sector initiatives, such as digital twin projects and geospatial data-sharing platforms, are also accelerating adoption. Moreover, the integration of AI and machine learning with geospatial tools is enabling predictive analytics and better decision-making across sectors.

Within Sweden, urban centers such as Stockholm, Gothenburg, and Malmö are at the forefront of adopting geospatial analytics, driven by smart city initiatives and the need for efficient urban planning. These cities are utilizing geospatial data to optimize public transportation, manage utilities, and enhance public safety. In rural areas, geospatial analytics is being employed in agriculture for precision farming, as well as in forestry and natural resource management. The widespread availability of high-quality geospatial data and the presence of leading technology firms, such as Hexagon AB, headquartered in Sweden, further bolster the country’s position in the geospatial analytics landscape. Northern regions are also seeing increased deployment of spatial tools to support environmental conservation and infrastructure planning in challenging terrains. Cross-regional collaborations and EU-supported research projects are further strengthening Sweden’s national geospatial infrastructure.

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Market Insights:

  • The Sweden geospatial analytics market was valued at USD 536.97 million in 2023 and is projected to reach USD 1,076.72 million by 2032, growing at a CAGR of 8% during the forecast period.
  • Smart city development in major urban centers such as Stockholm, Gothenburg, and Malmö is driving widespread adoption of geospatial technologies for infrastructure planning, traffic optimization, and public safety.
  • The integration of 5G, IoT, AI, and machine learning is accelerating real-time data processing, enabling predictive analytics and improved decision-making across transportation, logistics, and construction sectors.
  • Environmental sustainability efforts are fueling geospatial adoption in forestry, agriculture, and water management, with tools used for monitoring ecosystems, modeling climate scenarios, and managing land use.
  • Public-private collaboration, supported by open data initiatives and national funding programs, is fostering innovation and expanding the accessibility of geospatial tools across industries.
  • High implementation costs and limited technical expertise remain key challenges, particularly for SMEs and rural municipalities with budget constraints and limited skilled personnel.
  • Regionally, Stockholm leads the market with a 45% share, followed by Gothenburg (25%) and Malmö (15%), while northern regions are increasingly utilizing geospatial tools for environmental conservation and infrastructure development.

Report scoope

This report segments the Sweden Geospatial Analytics Market as follow

Sweden Geospatial Analytics Market

Market Drivers:

Smart City Initiatives and Digital Transformation

The rapid development of smart cities across Sweden is a pivotal driver of the geospatial analytics market. Urban centers such as Stockholm, Gothenburg, and Malmö are investing heavily in digital infrastructure to enhance livability, sustainability, and efficiency. Geospatial analytics plays a central role in these initiatives by supporting real-time traffic management, optimized utility services, and intelligent infrastructure development. As municipalities adopt integrated platforms for data visualization and location intelligence, the demand for spatial analysis tools continues to rise. These technologies are not only improving urban planning processes but are also enhancing emergency response systems, public safety, and waste management efficiency. The Swedish government’s broader digital transformation agenda is further propelling the use of geospatial solutions. Digital twin technologies, supported by geospatial data, are being deployed to simulate urban growth and infrastructure changes. This enables policymakers and planners to anticipate challenges and design proactive solutions. The increased digitalization of public services is fostering a data-driven culture, encouraging cross-sector collaboration and the adoption of advanced spatial tools across public administration and municipal agencies.

Integration of 5G and Emerging Technologies

The rollout of 5G networks in Sweden is significantly enhancing the potential of geospatial analytics applications. High-speed, low-latency connectivity supports the real-time collection and processing of spatial data from various sources, including IoT devices, drones, and remote sensors. This capability enables faster and more accurate decision-making across sectors such as transportation, construction, and logistics. With 5G infrastructure becoming more widespread, geospatial analytics solutions are being utilized for monitoring mobile assets, managing smart grids, and optimizing route planning for autonomous vehicles. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) with geospatial technologies is driving market innovation. These capabilities allow for advanced predictive modeling, anomaly detection, and intelligent automation of spatial data workflows. Organizations are increasingly leveraging these technologies to gain actionable insights from complex geospatial datasets, thereby improving operational efficiency and competitive advantage.

Sustainability and Environmental Monitoring

Sweden’s strong focus on environmental sustainability and climate resilience is another crucial factor fueling the adoption of geospatial analytics. For instance, ReSource Sverige AB utilizes drone technology combined with GIS applications to map greenhouse gas emissions from landfills and biogas plants. The country places high importance on reducing carbon emissions, protecting natural resources, and maintaining biodiversity. Geospatial tools support these objectives by enabling accurate environmental monitoring, modeling climate change scenarios, and tracking land use changes over time. In sectors like forestry, water management, and agriculture, geospatial analytics facilitates sustainable practices by improving resource allocation, monitoring ecological indicators, and supporting compliance with environmental regulations. Government agencies and environmental organizations are also employing geospatial platforms to conduct impact assessments and to design conservation strategies. Satellite imagery, LiDAR, and remote sensing data are commonly used to assess ecosystem health and to detect changes in vegetation, soil conditions, and water bodies. This proactive approach ensures Sweden remains aligned with its environmental policy goals and global sustainability commitments.

Public-Private Collaboration and Innovation Ecosystem

Sweden’s innovation ecosystem is characterized by strong collaboration between public institutions, academic bodies, and private enterprises. This collaborative approach has played a key role in the expansion of the geospatial analytics market. For example, Hexagon AB, a leading Swedish technology company, provides integrated sensor, software, and autonomous solutions to enhance spatial data utilization and decision-making. Their platforms are widely used for urban planning, public safety, and environmental monitoring, emphasizing the strategic application of digital data streams for operational efficiency and sustainability. Moreover, government support for innovation through funding programs, research grants, and public tenders is stimulating market activity. Initiatives such as open data policies and national geospatial data infrastructures are improving accessibility and interoperability, enabling smaller firms and start-ups to develop and deploy geospatial solutions. These efforts are cultivating a competitive yet collaborative environment that fosters technological advancements and ensures the sustained growth of the geospatial analytics market in Sweden.

Market Trends:

Adoption of Cloud-Based Geospatial Platforms

One of the prominent trends in the Sweden geospatial analytics market is the increasing shift toward cloud-based geospatial platforms. For example, Google Cloud launched its 42nd cloud region in Sweden in March 2025, enabling Swedish companies to leverage scalable, high-performance cloud infrastructure for geospatial analytics and other data-intensive applications. Traditional geospatial systems that relied heavily on on-premises infrastructure are being replaced by scalable, cost-efficient cloud solutions. This trend is driven by the need for flexibility, remote accessibility, and seamless data integration across departments and organizations. Cloud platforms facilitate real-time collaboration among urban planners, environmental analysts, and emergency response teams, enhancing data-driven decision-making. As organizations across sectors recognize the advantages of cloud computing, geospatial analytics solutions delivered through cloud ecosystems are gaining substantial traction, especially among small and medium-sized enterprises and public-sector bodies.

Growing Use of Real-Time Data in Transportation and Logistics

Sweden’s logistics and transportation sectors are increasingly leveraging real-time geospatial data to enhance efficiency and reduce operational costs. Companies are adopting geospatial analytics for dynamic route optimization, asset tracking, and fleet management. These capabilities are essential in addressing the challenges posed by urban congestion, changing delivery expectations, and carbon reduction goals. The integration of geospatial analytics with telematics and real-time vehicle data allows for more precise movement forecasting and supply chain visibility. Furthermore, municipalities are using these insights to improve traffic flow, reduce emissions, and implement smart mobility initiatives, aligning with Sweden’s broader environmental goals.

Expansion of Geospatial Applications in the Energy Sector

The energy sector in Sweden is witnessing growing adoption of geospatial analytics, particularly in the development and management of renewable energy infrastructure. Geospatial tools are used for site selection, feasibility studies, and environmental assessments of wind farms, solar installations, and hydroelectric projects. For instance, Metria, a leading Swedish GIS service provider, supports energy companies by delivering high-quality maps and property information, which are integrated into business systems for network planning, permitting, and operational management. With Sweden targeting net-zero emissions by 2045, energy providers are under pressure to optimize their networks and expand renewable capacity. Geospatial analytics helps monitor energy generation and consumption patterns, manage assets in remote locations, and enhance the resilience of critical energy infrastructure. This trend is further supported by investments in smart grid technologies, where spatial data is critical for managing distributed energy resources and predicting system vulnerabilities.

Enhanced Focus on Indoor Mapping and 3D Visualization

Another emerging trend in the Swedish market is the growing demand for indoor mapping and 3D geospatial visualization. As digital twins gain popularity in urban planning and construction, there is a greater need for detailed spatial data that extends beyond outdoor environments. Businesses in retail, healthcare, and commercial real estate are using indoor geospatial analytics to improve navigation, customer experience, and space utilization. Simultaneously, urban planners are adopting 3D visualization tools to simulate building developments and infrastructure upgrades, facilitating stakeholder engagement and regulatory approvals. The continuous improvement of 3D data capture technologies, such as LiDAR and photogrammetry, is expected to further fuel this trend in the coming years.

Market Challenges Analysis:

High Implementation Costs and Resource Constraints

One of the primary restraints hindering the growth of the geospatial analytics market in Sweden is the high cost associated with acquiring, implementing, and maintaining advanced spatial technologies. While large organizations and government entities may have the financial capacity to invest in geospatial infrastructure, smaller enterprises and local municipalities often struggle with budget limitations. The costs related to high-resolution satellite imagery, LiDAR equipment, advanced GIS software, and skilled personnel can be prohibitive. This financial barrier limits the scalability and accessibility of geospatial solutions, particularly in rural or underfunded areas where the benefits of spatial analytics are still needed for agriculture, land management, and public services. In addition to the direct financial burden, the lack of in-house expertise further complicates implementation. Many organizations face challenges in integrating geospatial tools with existing IT systems due to limited technical knowledge and insufficient training. This knowledge gap often results in underutilization of available tools and poor return on investment, dampening market momentum.

Data Privacy, Standardization, and Interoperability Issues

The Sweden geospatial analytics market also faces challenges related to data privacy, standardization, and interoperability. As geospatial data becomes increasingly granular and real-time, concerns around personal privacy and data security are mounting. For instance, regulatory frameworks such as the General Data Protection Regulation (GDPR) impose strict requirements on the collection, storage, and use of location-based data, which may complicate project execution and compliance. Moreover, the lack of standardized data formats and inconsistent metadata practices pose challenges for data sharing and integration across platforms. While Sweden has made progress in developing open data policies, fragmentation among various systems and agencies still affects the seamless flow of information. Ensuring interoperability between diverse geospatial datasets and technologies remains a technical and administrative hurdle that limits the full realization of cross-sector geospatial intelligence.

Market Opportunities:

The Sweden geospatial analytics market presents significant growth opportunities driven by the nation’s commitment to digital innovation, sustainability, and data-driven governance. As urbanization continues, the demand for advanced spatial intelligence to support smart infrastructure, efficient mobility, and sustainable urban planning will expand. Government initiatives promoting open geospatial data and digital twin platforms open the door for both domestic and international solution providers to contribute to large-scale public projects. These include applications in public health, disaster response, and climate resilience, where precise, location-based insights are essential for timely and effective decision-making. Furthermore, the Swedish public sector’s emphasis on e-governance creates a fertile environment for scalable, cloud-based geospatial platforms that streamline planning and citizen services.

Simultaneously, opportunities are growing within the private sector, particularly in industries such as energy, logistics, retail, and agriculture. As companies increasingly adopt location-based insights to enhance operational efficiency, reduce costs, and meet sustainability goals, the market demand for geospatial analytics tools will rise. Sweden’s rapidly evolving renewable energy landscape, driven by national decarbonization targets, creates a strong need for spatial intelligence in siting, monitoring, and managing energy assets. Additionally, the expanding use of artificial intelligence and machine learning in geospatial applications will spur innovation and attract investments in advanced analytics capabilities. These trends position Sweden as a dynamic market with ample opportunities for geospatial technology vendors, analytics firms, and research institutions to collaborate and shape the country’s digital and environmental future.

Market Segmentation Analysis:

The Sweden geospatial analytics market is segmented across various parameters, reflecting the technology’s broad applicability across sectors.

By component, software holds the dominant share due to the widespread deployment of GIS platforms, spatial modeling tools, and visualization applications. However, the services segment is growing steadily, driven by increasing demand for consulting, system integration, and managed analytics services tailored to specific business needs.

By deployment mode, cloud-based solutions are gaining strong momentum, particularly among small and medium-sized enterprises (SMEs), due to their scalability, flexibility, and cost-effectiveness. On-premise deployment remains preferred by government agencies and defense organizations where data security and regulatory compliance are critical.

By organization size, large enterprises contribute the majority of market demand due to their capacity for large-scale geospatial integration across operations. However, SMEs are rapidly adopting geospatial tools, facilitated by affordable cloud-based platforms and government-backed digitalization initiatives.

By type, network and location analytics dominate due to their critical role in transportation, logistics, and infrastructure planning. Geovisualization is also gaining traction, particularly in smart city initiatives and real estate development. Surface and field analytics, along with other niche applications, continue to support environmental monitoring and resource management.

By industry verticals, the government sector leads the market, underpinned by strong investments in smart governance, spatial planning, and emergency response. Environmental monitoring and defense follow closely, reflecting Sweden’s focus on sustainability and national security. Other sectors such as automotive, engineering, and construction are increasingly leveraging geospatial insights for operational optimization and strategic planning.

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 geospatial analytics market in Sweden exhibits a dynamic regional distribution, with significant activity concentrated in urban centers and emerging opportunities in other areas. Stockholm, the capital city, leads the market, accounting for approximately 45% of the national share. This dominance is driven by extensive smart city initiatives, advanced infrastructure projects, and a high concentration of technology companies. Gothenburg follows with a 25% market share, leveraging its strategic position as a logistics and transportation hub to implement geospatial solutions in port management and urban planning. Malmö contributes around 15% to the market, focusing on sustainable development and cross-border collaborations, particularly with neighboring Denmark.

Beyond these major cities, the remaining 15% of the market is distributed across other regions, including Uppsala, Västerås, and Linköping. These areas are increasingly adopting geospatial analytics in sectors such as agriculture, forestry, and environmental monitoring. The Swedish government’s commitment to digital transformation and open data policies is facilitating the integration of geospatial technologies in rural and semi-urban areas. Additionally, collaborations between academic institutions and local authorities are fostering innovation and expanding the application of geospatial analytics across the country.

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Key Player Analysis:

  • Grupo Geo
  • Sistemas Geoespaciales de México (SIGMEX)
  • GeoRef México
  • Hemap México
  • SAP SE
  • Google, Inc.
  • Bentley Systems, Incorporated
  • Alteryx, Inc.
  • Oracle Corporation
  • SK Telecom
  • Trimble, Inc.
  • Esri
  • Microsoft Corporation
  • Terralab
  • GeoInnova
  • Others

Competitive Analysis:

The Sweden geospatial analytics market is moderately competitive, featuring a blend of global technology providers and domestic innovators. Hexagon AB, headquartered in Sweden, is a key market leader, offering a comprehensive suite of geospatial solutions across industrial, governmental, and environmental domains. The company’s robust R&D capabilities and international reach position it at the forefront of geospatial innovation. Other prominent global players, such as Esri, Trimble Inc., and Autodesk, maintain a strong presence through partnerships and localized offerings. These firms cater to sectors including smart infrastructure, urban mobility, and environmental monitoring. Meanwhile, emerging Swedish startups and research institutions are contributing niche solutions, particularly in AI-integrated geospatial analytics and sustainable urban planning. The market benefits from government support for open data and digital transformation, fostering a collaborative environment. Continuous innovation, customization, and strategic alliances are key differentiators as companies compete to meet the evolving spatial intelligence needs of Swedish industries.

Recent Developments:

  • In March 2025, Google Cloud announced the launch of its 42nd cloud region in Sweden, marking a significant investment in the country’s digital infrastructure and geospatial analytics capabilities2. This new region is designed to empower Swedish businesses and organizations with high-performance, low-latency cloud services, supporting advanced technologies such as artificial intelligence, machine learning, and data analytics.
  • In March 2023, Mach9 Robotics Inc., a notable player in the geospatial solutions space, launched a revolutionary software platform that leverages mobile LiDAR technology to generate 2D and 3D maps at speeds 30 times faster than existing solutions. This platform utilizes AI and computer vision to rapidly convert large-scale LiDAR data into high-quality engineering models, significantly enhancing the efficiency of CAD and GIS deliverables for engineering and construction organizations.

Market Concentration & Characteristics:

The Sweden geospatial analytics market exhibits a moderate concentration, characterized by the presence of both established global entities and dynamic local firms. Hexagon AB, headquartered in Sweden, stands as a prominent player, offering a comprehensive suite of geospatial solutions across various sectors. Other international companies, such as Esri and Trimble, maintain a significant presence through partnerships and localized offerings. This blend of global and domestic participants fosters a competitive environment that encourages innovation and the development of tailored solutions to meet diverse industry needs. The market’s characteristics are defined by a strong emphasis on technological advancement and integration. Sweden’s commitment to digital transformation and open data initiatives has facilitated the widespread adoption of geospatial analytics across multiple sectors, including urban planning, environmental monitoring, and transportation. The collaborative ecosystem, supported by government policies and academic research, further enhances the market’s dynamism. As a result, Sweden’s geospatial analytics market continues to evolve, driven by innovation, strategic collaborations, and a focus on addressing complex spatial challenges.

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:

  • Sweden’s geospatial analytics market is expected to grow steadily, supported by national investments in smart infrastructure and digital governance.
  • Adoption of AI and machine learning in spatial analytics will enable predictive capabilities and real-time decision-making.
  • Cloud-based geospatial solutions will gain traction among SMEs due to affordability and scalability.
  • Renewable energy projects will increasingly use spatial analytics for site selection and environmental impact assessments.
  • The demand for high-resolution 3D visualization will rise with the expansion of urban digital twin initiatives.
  • Transportation and logistics sectors will deepen integration of location analytics to optimize supply chains and fleet management.
  • Government open data initiatives will foster innovation and support the growth of startups in the geospatial space.
  • Cross-border collaborations within the Nordic region will enhance data interoperability and regional planning strategies.
  • Increased focus on cybersecurity will shape data governance in spatial analytics applications.
  • Public-private partnerships will accelerate deployment of geospatial technologies across non-urban regions.

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

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

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

5.2. Sweden 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 – SWEDEN 70

11.1. Sweden 70

11.1.1. Key Highlights 70

11.2. Component 71

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

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

11.5. Deployment Mode 72

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

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

11.7. Enterprise Size 73

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

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

11.9. Type 74

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

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

11.11. Industry Vertical 75

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

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

CHAPTER NO. 12 : COMPANY PROFILES 76

12.1. Grupo Geo 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. Sistemas Geoespaciales de México (SIGMEX) 78

12.3. GeoRef México 78

12.4. Hemap México 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. Terralab 78

12.15. GeoInnova 78

12.16. Others 78

]

List of Figures

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

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

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

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

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

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

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

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

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

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

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

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

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

List of Tables

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

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

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

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

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

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

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

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

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

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

 

Frequently Asked Questions

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

The Sweden Geospatial Analytics Market was valued at USD 536.97 million in 2023 and is projected to reach USD 1,076.72 million by 2032, growing at a CAGR of 8% during the forecast period.

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

Key growth drivers include smart city initiatives, 5G deployment, sustainability efforts, digital twin projects, and the integration of AI and machine learning for predictive spatial analysis.

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

Challenges include high implementation costs, limited technical expertise, data privacy concerns, and interoperability issues between diverse geospatial systems.

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

Leading players include Hexagon AB, Esri, Trimble Inc., and Autodesk, supported by local startups and research institutions contributing to innovation and sector-specific solutions.

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