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Poland Geospatial Analytics Market

Poland 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
Poland Geospatial Analytics Market Size 2023	USD 531.92 million
Poland Geospatial Analytics Market , CAGR	5.6%
Poland Geospatial Analytics Market Size 2032	USD 871.56 million

Market Overview:

Poland Geospatial Analytics Market size was valued at USD 531.92 million in 2023 and is anticipated to reach USD 871.56 million by 2032, at a CAGR of 5.6% during the forecast period (2023-2032).

Several factors are propelling the growth of geospatial analytics in Poland. The government’s emphasis on digital transformation, as highlighted in the “Strategy for Responsible Development,” underscores the nation’s commitment to integrating advanced technologies into various sectors. This strategy includes investments in digital infrastructure, promotion of e-governance, and enhancement of digital literacy, all of which create a conducive environment for the adoption of geospatial analytics. Additionally, the increasing use of location-based services across industries such as retail, transportation, and emergency services is driving demand for geospatial analytics to improve decision-making and service delivery. The integration of advanced AI and machine learning technologies further enhances the capabilities of geospatial analytics, enabling more accurate and efficient analysis, which is particularly beneficial for sectors like agriculture, defense, and urban planning.

Poland’s strategic location in Central Europe positions it as a vital hub for logistics and transportation, sectors that significantly benefit from geospatial analytics. Research indicates that regions like the Łódź Voivodeship have developed regional logistics clusters, with their spatial distribution closely linked to major transportation networks such as the A1 and A2 highways. This highlights the importance of geospatial analytics in optimizing logistics and supply chain operations within the country. Furthermore, the availability of detailed demographic data, such as that provided by Esri, supports various applications of geospatial analytics in Poland. These applications range from urban planning and infrastructure development to environmental monitoring and disaster management. The integration of such data enables more informed decision-making at both governmental and organizational levels.

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Market Insights:

The Poland geospatial analytics market was valued at USD 531.92 million in 2023 and is projected to reach USD 871.56 million by 2032, growing at a CAGR of 5.6% during the forecast period.
Government-backed digital transformation, driven by the “Strategy for Responsible Development,” is catalyzing market expansion through investments in infrastructure, e-governance, and innovation.
Rising adoption of location-based services in retail, logistics, and emergency response is accelerating demand for real-time geospatial insights across industries.
Integration of AI and machine learning is enhancing analytical precision and enabling predictive modeling, particularly in agriculture, defense, and environmental monitoring.
Urbanization and smart city initiatives in cities like Warsaw and Kraków are increasing the need for geospatial tools to optimize planning, traffic control, and public utilities.
Challenges such as high implementation costs, data fragmentation, and a shortage of skilled professionals continue to hinder widespread adoption across regions and sectors.
Regionally, Mazowieckie leads the market, while southern industrial zones, coastal logistics hubs, and agricultural eastern regions present growing opportunities for geospatial deployment.

Report Scope

This report segments the Poland Geospatial Analytics Market as follow

Market Drivers:

Government Initiatives and Digital Transformation

The Polish government has played a critical role in accelerating the adoption of geospatial analytics through its strategic focus on digital transformation. The “Strategy for Responsible Development,” a national framework emphasizing innovation, smart infrastructure, and sustainable economic growth, has paved the way for the integration of advanced technologies across public and private sectors. Key government projects involving land management, urban development, and transportation planning increasingly rely on geospatial data to inform decisions and optimize outcomes. This strategic push to digitalize national systems supports the growth of Poland’s geospatial analytics market by creating a favorable regulatory and infrastructural environment.

Growing Adoption of Location-Based Services

The proliferation of mobile technologies and the expansion of high-speed internet infrastructure have significantly boosted the demand for location-based services (LBS) across multiple industries in Poland. Retail, logistics, emergency response, and public utilities are among the sectors rapidly adopting geospatial solutions to enhance customer engagement, optimize delivery routes, and improve service efficiency. For example, retail businesses are leveraging spatial data to analyze consumer behavior and personalize marketing strategies, while logistics firms are employing geospatial tools for real-time fleet tracking and route optimization. As LBS becomes a core component of service delivery, it is driving the widespread application of geospatial analytics tools.

Integration of Artificial Intelligence and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) with geospatial analytics is unlocking new opportunities for predictive modeling and advanced spatial analysis. These technologies enhance the ability to process vast amounts of geospatial data, uncover patterns, and generate actionable insights with greater accuracy and speed. In Poland, sectors such as agriculture, environmental monitoring, and defense are adopting AI-powered geospatial platforms for tasks including crop yield prediction, pollution tracking, and surveillance. The convergence of AI, ML, and geospatial technologies is making analytics more scalable and intelligent, significantly improving decision-making processes across critical applications.

Urbanization and Smart City Development

Poland’s ongoing urbanization and smart city initiatives are also key drivers of geospatial analytics market growth. Major urban centers, including Warsaw, Kraków, and Wrocław, are investing in smart infrastructure projects that rely on spatial data for planning, traffic management, energy distribution, and waste reduction. Geospatial analytics supports the creation of digital twins of cities, enabling authorities to simulate and manage urban systems more effectively. For instance, companies such as GISPRO have implemented mobile mapping systems capable of registering over a million points per second, supporting projects like national road mapping and flood prevention system development. As local governments prioritize efficiency and sustainability, the integration of geospatial solutions becomes essential for effective resource management and service optimization. The demand for real-time spatial intelligence is expected to rise in parallel with these urban development trends.

Market Trends:

Expansion of Cloud-Based Geospatial Solutions

The adoption of cloud-based geospatial analytics solutions is gaining momentum in Poland, reflecting a global shift towards scalable and flexible data processing platforms. Cloud deployment offers enhanced accessibility, real-time data processing, and cost-effective scalability, making it an attractive option for various sectors, including urban planning, environmental monitoring, and transportation. This trend aligns with the broader European movement towards digital transformation, where cloud-based geospatial services are becoming integral to smart city initiatives and infrastructure development. The transition to cloud platforms is expected to accelerate the deployment of geospatial analytics across Poland, facilitating more efficient data management and analysis.

Integration of Artificial Intelligence and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) technologies into geospatial analytics is transforming the landscape in Poland. These advanced technologies enable the processing of vast and complex geospatial datasets, leading to more accurate predictive modeling and decision-making. For instance, the Wrocław Institute of Spatial Information and Artificial Intelligence (WIZIPISI) specializes in advanced AI-based remote sensing analyses, processing aerial and satellite imagery for applications ranging from environmental monitoring to urban planning. Their partnership with Synspective aims to enhance the availability and use of advanced SAR imagery, supporting resilient and sustainable practices in Polish communities. In sectors such as agriculture, defense, and environmental management, AI and ML enhance the capabilities of geospatial tools, allowing for real-time analysis and improved resource allocation. The adoption of AI-driven geospatial analytics is anticipated to grow, driven by the need for sophisticated data analysis and the increasing availability of high-quality geospatial data.

Proliferation of High-Resolution Geospatial Imagery

Advancements in satellite and aerial imaging technologies have led to the proliferation of high-resolution geospatial imagery, significantly impacting the Polish market. The availability of detailed and timely imagery supports various applications, including urban development, environmental monitoring, and disaster response. For instance, Farmonaut’s satellite-based crop monitoring system uses NDVI analysis and other metrics to deliver real-time insights into vegetation health, soil moisture, and pest infestations, enabling Polish farmers to optimize resource use and improve yields. This trend is bolstered by initiatives such as the European Union’s Copernicus program, which provides access to a wealth of Earth observation data. The increased accessibility to high-resolution imagery enhances the precision and effectiveness of geospatial analytics, enabling more informed decision-making across multiple sectors in Poland.

Growth of Smart City Initiatives

Poland’s commitment to developing smart cities is a significant driver of geospatial analytics adoption. Urban centers are increasingly leveraging geospatial technologies to optimize infrastructure, manage resources efficiently, and improve the quality of life for residents. Geospatial analytics plays a crucial role in traffic management, public safety, and environmental sustainability within these smart city frameworks. The integration of geospatial data into urban planning processes facilitates the creation of more resilient and responsive urban environments. As smart city projects continue to expand, the demand for advanced geospatial analytics solutions in Poland is expected to rise correspondingly.

Market Challenges Analysis:

High Implementation Costs and Limited Funding

Implementing advanced geospatial solutions in Poland requires significant upfront investment in high-resolution satellite imagery, LiDAR equipment, advanced GIS software, robust data storage, and processing infrastructure. These high initial costs, coupled with ongoing operational expenses such as maintenance, software updates, and personnel training, create substantial financial barriers-particularly for small and medium-sized enterprises (SMEs) and public sector organizations with limited budgets. For instance, integrating innovative technologies like AI, IoT, and cloud computing into geospatial analytics further increases the overall cost structure, making it difficult for organizations to justify such expenditures without clear short-term returns. Many companies in regions with less developed technological infrastructure face additional challenges due to competing investment priorities and a lack of dedicated funding or subsidies for digital infrastructure, which slows the broader adoption of geospatial analytics

Shortage of Skilled Professionals

The geospatial analytics market in Poland is also constrained by a shortage of skilled professionals with expertise in spatial data science, GIS technologies, and machine learning integration. As demand for data-driven decision-making increases, the need for interdisciplinary talent capable of working with complex geospatial datasets becomes critical. However, the current talent pool remains limited, particularly outside major urban centers and research hubs. Educational institutions and training programs are gradually addressing this gap, but the lag in workforce development continues to present operational and scalability challenges for both public and private sector organizations.

Data Privacy and Regulatory Hurdles

Another significant challenge arises from data privacy concerns and regulatory complexities. Geospatial analytics often involves the collection and processing of sensitive location-based information, which can raise issues related to personal privacy, data ownership, and compliance with national and EU-level data protection laws such as the General Data Protection Regulation (GDPR). Navigating these regulations requires specialized legal and technical understanding, especially when integrating third-party data sources or deploying real-time surveillance technologies. Uncertainties surrounding compliance can delay project implementations and limit the scope of certain geospatial applications.

Fragmented Data Infrastructure

Lastly, the lack of standardization and interoperability across data sources and systems in Poland hinders seamless geospatial analysis. Public and private datasets are often maintained in isolated silos with varying formats and quality standards, complicating efforts to integrate and utilize data at scale. This fragmentation reduces the overall efficiency and reliability of geospatial analytics applications. Addressing these technical barriers through coordinated data governance frameworks remains essential for unlocking the full potential of the geospatial analytics market in Poland.

Market Opportunities:

Poland presents a strong market opportunity for geospatial analytics, driven by the country’s increasing emphasis on digital transformation, urban development, and sustainable resource management. As cities across Poland continue to expand, the demand for intelligent infrastructure planning and real-time monitoring tools is rising. Geospatial analytics can play a critical role in supporting smart city initiatives by enabling efficient transportation planning, traffic management, environmental monitoring, and public safety. With the growing integration of IoT sensors and 5G connectivity, urban centers like Warsaw, Kraków, and Gdańsk are well-positioned to adopt advanced geospatial technologies to enhance operational efficiency and service delivery. The alignment of national and EU-backed funding for digitalization provides additional momentum for public sector investments in geospatial platforms.

Furthermore, Poland’s strategic role in agriculture, logistics, and environmental management offers substantial opportunities for the application of location-based intelligence. In agriculture, precision farming techniques powered by geospatial analytics can optimize crop yield, soil management, and irrigation planning, directly contributing to food security and economic productivity. Similarly, the country’s position as a logistics hub in Central Europe makes it a prime candidate for the use of spatial data in supply chain optimization and fleet management. Environmental challenges such as climate change and deforestation are also creating a growing need for spatial monitoring and predictive analytics. As organizations increasingly recognize the value of geospatial intelligence in strategic decision-making, Poland’s geospatial analytics market is poised to expand across both public and private sectors.

Market Segmentation Analysis:

The Poland geospatial analytics market is segmented by component, deployment mode, organization size, type, and industry vertical, reflecting the diverse adoption of spatial intelligence solutions across sectors.

By component, software holds a major share due to its central role in processing, visualizing, and analyzing spatial data. Services, including consulting, integration, and support, are witnessing steady growth as organizations seek specialized expertise to implement and manage geospatial systems effectively.

By deployment mode, cloud-based solutions are gaining traction across industries due to their scalability, lower upfront costs, and remote accessibility. While on-premise deployment remains preferred by government and defense sectors for data security and regulatory compliance, the shift towards hybrid and cloud environments is accelerating, particularly among SMEs and tech-driven enterprises.

By organization size, large enterprises dominate market adoption, leveraging geospatial analytics to enhance operational efficiency, customer insights, and infrastructure planning. However, SMEs are increasingly recognizing the value of spatial intelligence in improving competitiveness and local market strategies, aided by the affordability of cloud-based tools.

By type, network and location analytics lead the market, driven by applications in transportation, logistics, and retail. Surface and field analytics are vital in agriculture and resource management, while geovisualization supports urban planning and real-time monitoring.

By industry verticals, the government sector holds significant market share due to public infrastructure projects and urban development programs. Other key verticals include environmental monitoring, engineering and construction, and defense and security. Industries like automotive and manufacturing are also adopting geospatial tools for asset tracking and process optimization.

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:

Poland’s geospatial analytics market exhibits regional variations influenced by factors such as urbanization, industrial development, and digital infrastructure. The country is administratively divided into 16 voivodeships (provinces), each presenting unique opportunities and challenges for geospatial analytics adoption.

Mazowieckie Voivodeship (Warsaw Region)

Mazowieckie, encompassing the capital city Warsaw, stands as the most significant contributor to the geospatial analytics market in Poland. The region benefits from a concentration of governmental institutions, research centers, and technology companies, fostering an environment conducive to the adoption of advanced geospatial solutions. The presence of national agencies and a robust infrastructure supports applications in urban planning, transportation, and public safety.

Śląskie and Małopolskie Voivodeships (Southern Industrial Hubs)

The southern regions of Śląskie and Małopolskie, known for their industrial activities, are increasingly integrating geospatial analytics into manufacturing, mining, and environmental monitoring. The need for efficient resource management and compliance with environmental regulations drives the demand for geospatial solutions in these areas. The regions’ commitment to modernization and sustainable practices further accelerates this trend.

Pomorskie and Zachodniopomorskie Voivodeships (Northern Coastal Regions)

The northern coastal regions, including Pomorskie and Zachodniopomorskie, leverage geospatial analytics primarily in maritime logistics, port management, and coastal zone monitoring. The strategic importance of ports like Gdańsk and Szczecin necessitates advanced spatial analysis for efficient operations and environmental protection. These regions also explore geospatial applications in tourism and urban development.

Eastern Voivodeships (Lublin, Podkarpackie, and Podlaskie)

The eastern voivodeships, such as Lublin, Podkarpackie, and Podlaskie, are gradually embracing geospatial analytics, particularly in agriculture, forestry, and rural development. These regions benefit from European Union funding aimed at enhancing digital infrastructure and promoting precision farming techniques. The adoption of geospatial technologies in these areas supports sustainable land use and resource management.

Central Voivodeships (Łódzkie and Wielkopolskie)

Central regions like Łódzkie and Wielkopolskie are emerging as significant players in the geospatial analytics market due to their focus on logistics, manufacturing, and smart city initiatives. The development of transportation corridors and investment in urban infrastructure projects drive the demand for spatial analysis tools. These regions’ proactive approach to innovation positions them as growth centers for geospatial applications.

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Key Player Analysis:

General Electric
SAP SE
Google, Inc.
Bentley Systems, Incorporated
Alteryx, Inc.
Oracle Corporation
TOMTOM International, Inc.
Hexagon AB
GISPartner
Trimble, Inc.
Esri
GISPRO SA
Opegieka
Others

Competitive Analysis:

The Poland geospatial analytics market is moderately competitive, with a mix of domestic technology providers and global firms shaping the landscape. International players such as Esri, Hexagon AB, Trimble Inc., and HERE Technologies have established a strong presence through strategic partnerships and the deployment of scalable GIS platforms. These companies offer advanced geospatial solutions tailored to urban planning, environmental monitoring, and infrastructure development. At the same time, local firms and academic institutions are contributing to market growth by offering region-specific analytics, custom GIS applications, and localized support services. The competitive edge increasingly depends on innovation in AI integration, cloud capabilities, and real-time analytics. Companies that prioritize interoperability and user-centric design are gaining traction among public institutions and private enterprises alike. As demand for spatial intelligence grows, market players continue to invest in R&D and training programs to address the skills gap and maintain long-term competitiveness.

Recent Developments:

In January 2025, TomTom and Esri announced a major partnership to deliver advanced location analytics by integrating TomTom’s global map and traffic data into Esri’s ArcGIS platform. This collaboration enables businesses and governments to access high-quality, real-time geospatial insights for infrastructure, transportation, and retail optimization, directly benefiting Polish users of ArcGIS with enhanced mapping and spatial analysis capabilities.
In March 2025, Hexagon AB completed the acquisition of Septentrio, a manufacturer of high-precision GPS/GNSS positioning technology. This strategic move strengthens Hexagon’s leadership in resilient, assured positioning solutions, expanding their reach in mission-critical navigation and autonomy applications, including those relevant to Poland’s rapidly developing autonomous systems and robotics sectors.
In October 2024, Bentley Systems announced a strategic partnership with Google to integrate Google Maps Platform’s high-quality geospatial content, such as photorealistic 3D tiles, into Bentley’s infrastructure engineering software and digital twin platform. This partnership, which also involves Google Cloud for AI-powered asset analytics, enhances the real-world geospatial context for infrastructure projects, including those in Poland. Bentley’s recent acquisition of Cesium further strengthens its capabilities in 3D geospatial applications.

Market Concentration & Characteristics:

The Poland geospatial analytics market is characterized by a moderately concentrated landscape, where a blend of global and domestic players contributes to its development. International companies such as Esri, Hexagon AB, and Trimble Inc. have established a significant presence, offering advanced geospatial solutions that cater to various sectors including urban planning, environmental monitoring, and infrastructure development. These global entities often collaborate with local firms to tailor their offerings to the specific needs of the Polish market. Domestic companies and academic institutions also play a crucial role, providing region-specific analytics, custom GIS applications, and localized support services. The competitive edge in this market increasingly hinges on innovation in artificial intelligence integration, cloud capabilities, and real-time analytics. Companies that prioritize interoperability and user-centric design are gaining traction among public institutions and private enterprises alike. As demand for spatial intelligence grows, market players continue to invest in research and development, as well as training programs, to address the skills gap and maintain long-term competitiveness.

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:

The Poland geospatial analytics market is expected to witness sustained growth driven by nationwide digital transformation initiatives.
Increasing adoption of AI and machine learning will enhance the predictive and real-time capabilities of geospatial platforms.
Expansion of smart city projects will generate new demand for spatial intelligence in urban infrastructure and mobility planning.
Cloud-based geospatial solutions will become more dominant due to their scalability and cost efficiency for SMEs.
Growing interest in environmental monitoring and climate risk assessment will drive adoption in public and private sectors.
Precision agriculture in rural regions will increasingly rely on geospatial analytics for yield optimization and resource management.
Investments in 5G and IoT infrastructure will improve real-time data collection and integration into geospatial systems.
Demand from the logistics and automotive industries will rise as location intelligence becomes critical for route and fleet optimization.
Educational institutions will expand GIS training programs to address the shortage of skilled professionals.
Increased public-private collaboration will accelerate innovation and implementation of advanced geospatial technologies across Poland.

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

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

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

5.2. Poland 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 – POLAND 70

11.1. Poland 70

11.1.1. Key Highlights 70

11.2. Component 71

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

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

11.5. Deployment Mode 72

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

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

11.7. Enterprise Size 73

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

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

11.9. Type 74

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

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

11.11. Industry Vertical 75

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

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

CHAPTER NO. 12 : COMPANY PROFILES 76

12.1. General Electric 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. SAP SE 78

12.3. Google, Inc. 78

12.4. Bentley Systems, Incorporated 78

12.5. Alteryx, Inc. 78

12.6. Oracle Corporation 78

12.7. TOMTOM International, Inc 78

12.8. Hexagon AB 78

12.9. GISPartner 78

12.10. Trimble, Inc. 78

12.11. Esri 78

12.12. GISPRO SA 78

12.13. Opegieka 78

12.14. Company 14 78

12.15. Company 15 78

12.16. Others 78

]

List of Figures

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

List of Tables

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

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

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

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

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

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

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

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

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

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

Frequently Asked Questions

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

The Poland Geospatial Analytics Market was valued at USD 531.92 million in 2023 and is projected to reach USD 871.56 million by 2032, growing at a CAGR of 5.6%.

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

Growth is driven by government-led digital transformation initiatives, increased use of location-based services, and the integration of AI and machine learning into analytics platforms.

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

Major challenges include high implementation costs, data privacy concerns, a shortage of skilled professionals, and fragmented data infrastructure.

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

Leading players include Esri, Hexagon AB, Trimble Inc., HERE Technologies, along with contributions from local firms and academic institutions.

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