Home » Medical Devices » North America Geospatial Analytics Market

North America Geospatial Analytics Market

North America 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

Summary
Table Of Content

REPORT ATTRIBUTE	DETAILS
Historical Period	2020-2023
Base Year	2024
Forecast Period	2025-2032
North America Geospatial Analytics Market Size 2023	UUSD 29,681.15 million
North America Geospatial Analytics Market , CAGR	9.4%
North America Geospatial Analytics Market Size 2032	USD 66,744.40 million

Market Overview:

North America Geospatial Analytics Market size was valued at USD 29,681.15 million in 2023 and is anticipated to reach USD 66,744.40 million by 2032, at a CAGR of 9.4% during the forecast period (2023-2032).

Several factors are propelling the growth of the geospatial analytics market in North America. The widespread adoption of Internet of Things (IoT) devices and smart sensors has enhanced the capability to collect and analyze spatial data in real-time, facilitating improved decision-making processes. Additionally, the increasing demand for Geographic Information System (GIS) solutions in the transportation sector is streamlining operations and logistics, leading to greater efficiency and cost savings. Government-led smart city initiatives and environmental conservation programs are further reinforcing the relevance of geospatial technologies. Moreover, the integration of real-time location data with predictive analytics is opening new avenues for strategic planning in industries such as retail and agriculture. The growing significance of location intelligence in disaster risk reduction and climate monitoring is also amplifying demand. Furthermore, private sector interest in competitive geospatial insights is rising, especially in logistics, finance, and marketing sectors.

Within North America, the United States holds a dominant position in the geospatial analytics market, attributed to its substantial investments in technology and infrastructure. This growth is fueled by the country’s focus on enhancing situational awareness and monitoring capabilities, particularly in defense and emergency response sectors. Canada also contributes significantly to the regional market, leveraging geospatial analytics for natural resource management and urban development. Both countries are witnessing growing collaborations between public agencies, academic institutions, and private firms to accelerate innovation in geospatial solutions. The strong presence of leading technology providers and start-ups in the region further enhances North America’s strategic advantage in this domain. Cross-border initiatives are also supporting data standardization and interoperability to ensure broader application of geospatial tools. Additionally, regulatory support and funding for geospatial research and development continue to create a conducive environment for market expansion.

Access crucial information at unmatched prices!

Request your sample report today & start making informed decisions powered by Credence Research!

Download Sample

Market Insights:

The North America geospatial analytics market is projected to grow from USD 29,681.15 million in 2023 to USD 66,744.40 million by 2032, at a CAGR of 9.4%, driven by expanding use cases and government support.
Rising integration of IoT and smart sensors is enhancing real-time data collection, enabling faster decision-making in sectors like utilities, public safety, and transportation.
Government-backed smart city initiatives in the U.S. and Canada are fueling adoption of geospatial technologies for urban planning, disaster response, and environmental sustainability.
Commercial sectors such as retail, logistics, finance, and real estate are increasingly leveraging GIS-based analytics for customer insights, risk evaluation, and strategic growth.
Technological advancements in cloud computing, machine learning, and AI are boosting platform efficiency, allowing for large-scale, high-resolution spatial analysis.
Data privacy regulations, integration challenges with legacy systems, and lack of standardization remain key obstacles to broader adoption, especially across multiple platforms.
The U.S. leads the market due to major investments in defense, surveillance, and R&D, while Canada and Mexico show strong growth in environmental, agricultural, and infrastructure applications.

Report scope

This report segments the North America Geospatial Analytics Market as follow

Market Drivers:

Proliferation of IoT and Smart Sensors

The rapid adoption of Internet of Things (IoT) devices and smart sensors across North America has significantly enhanced the capabilities of geospatial analytics. These devices facilitate real-time data collection, which, when integrated with spatial intelligence, allows for dynamic and precise insights into various applications such as traffic management, asset tracking, and environmental monitoring. For example, Analog Devices, Inc. (ADI), a leading U.S.-based semiconductor company with $12.01 billion in revenue in 2022, supplies high-quality analog and digital signal-processing ICs that are integral to smart sensors used in automotive, industrial, and utility sectors. As urban centers expand and smart infrastructure projects gain momentum, the demand for data-driven solutions powered by IoT continues to grow. This integration is not only improving operational efficiency but also enabling proactive decision-making in sectors including utilities, transportation, and public safety.

Government Initiatives and Smart City Development

Strong government support through national and regional initiatives has played a vital role in accelerating the adoption of geospatial technologies. Numerous smart city projects across the United States and Canada are being backed by public funding and policy incentives, which aim to improve urban planning, resource allocation, and infrastructure development. These projects often rely on geospatial analytics to manage spatial data for utilities, emergency services, and environmental assessments. Additionally, government agencies are increasingly using these tools for climate impact modeling, disaster response, and homeland security. The strategic importance of geospatial intelligence in supporting national resilience and sustainable development continues to be a major driver of market growth.

Expansion of GIS in Commercial Applications

The business sector across North America is increasingly leveraging Geographic Information System (GIS) capabilities to drive competitive advantages in logistics, retail, insurance, and real estate. Companies are utilizing geospatial analytics to optimize supply chains, identify market opportunities, and refine customer targeting strategies. Retailers, for instance, can analyze demographic data and mobility patterns to determine store locations or tailor marketing efforts. Likewise, financial services firms are applying spatial analysis to assess risk and make more informed lending or investment decisions. This growing commercial appetite for location-based intelligence is prompting broader adoption of geospatial technologies across non-traditional verticals.

Technological Advancements and Cloud Integration

Advances in cloud computing, artificial intelligence, and big data analytics are significantly enhancing the scalability, accessibility, and accuracy of geospatial analytics platforms. Cloud-based solutions offer real-time processing capabilities, allowing users to manage large volumes of spatial data without substantial on-premise infrastructure. For instance, companies like FlyPix AI specialize in AI-powered geospatial intelligence, using deep learning to analyze aerial imagery for real-time monitoring of infrastructure such as power lines and renewable energy assets. Meanwhile, machine learning algorithms are improving pattern recognition and predictive modeling, making geospatial insights more actionable across a range of applications. This technological synergy is enabling organizations to move beyond static mapping and into dynamic, high-resolution spatial analysis. As innovation accelerates and costs decline, more enterprises and agencies are integrating geospatial analytics into their core operations, reinforcing its long-term market relevance.

Market Trends:

Rise of Real-Time Geospatial Intelligence

One of the prominent trends in the North America geospatial analytics market is the increasing shift toward real-time geospatial intelligence. Organizations are moving from static geographic data analysis to dynamic, continuously updated spatial insights. For instance, Motorola Solutions integrates real-time geospatial data into its command center software, enabling public safety agencies to monitor live incidents, track emergency vehicle locations, and coordinate rapid responses for events such as natural disasters and public safety emergencies. This trend is particularly evident in sectors such as autonomous transportation, emergency response, and aviation, where live data streams are essential for operational decision-making. Real-time geospatial capabilities enable users to monitor ongoing developments like traffic congestion, natural disasters, or fleet movement with enhanced precision and speed. As demand grows for instant situational awareness, vendors are focusing on integrating geospatial platforms with real-time data feeds to improve responsiveness and agility.

Growth in 3D and HD Mapping Applications

Another key trend is the rising adoption of 3D and high-definition (HD) mapping technologies, which are transforming how industries visualize and interpret spatial data. Advanced mapping tools are enabling more accurate simulations of terrains, infrastructures, and urban environments, making them invaluable in sectors such as construction, defense, and urban planning. In particular, 3D geospatial models are supporting more effective building information modeling (BIM), energy optimization, and infrastructure maintenance strategies. This trend is gaining traction due to increased investments in digital twins and virtual city models, which rely heavily on 3D spatial data to create immersive, interactive simulations of real-world environments.

Adoption of Location Intelligence in Consumer-Focused Sectors

The geospatial analytics landscape in North America is witnessing a surge in adoption across consumer-facing industries, especially in marketing, retail, and tourism. Brands are increasingly utilizing location intelligence to personalize user experiences, analyze customer movement, and optimize service delivery. This trend reflects a broader shift toward customer-centric strategies, where businesses use spatial data to identify purchasing behavior, foot traffic patterns, and regional preferences. For example, location-based advertising and geofencing are now standard practices in digital marketing campaigns. The proliferation of mobile devices and location-enabled apps is accelerating this trend, encouraging companies to derive deeper insights from consumer geospatial data.

Integration with Sustainability and Climate Initiatives

As sustainability takes center stage in public and private agendas, geospatial analytics is playing a growing role in environmental monitoring and climate resilience planning. Governments and corporations alike are employing geospatial tools to map carbon footprints, track deforestation, monitor water resources, and model climate risks. This trend is being supported by the increasing availability of satellite imagery and remote sensing data, which allows for high-resolution environmental analysis over vast geographic areas. Geospatial analytics is proving to be a critical component in achieving ESG (Environmental, Social, Governance) goals, enabling more informed and accountable sustainability initiatives throughout North America.

Market Challenges Analysis:

Data Priacy and Security Concerns

One of the major restraints impacting the growth of the North America geospatial analytics market is the increasing concern around data privacy and security. For example, the US government recently issued a warning about critical software vulnerabilities in the widely used OSGeo GeoServer platform, which allowed threat actors to exploit flaws for remote code execution, prompting agencies to apply urgent security patches. Geospatial data, especially when linked to personal or sensitive information, raises critical issues regarding user consent, surveillance, and data misuse. As geospatial technologies become more embedded in everyday applications, regulatory scrutiny over data handling practices has intensified. Compliance with regional data protection regulations, such as the California Consumer Privacy Act (CCPA), requires companies to invest heavily in secure data governance frameworks, which can increase operational complexity and cost.

Integration and Interoperability Issues

Another key challenge lies in integrating geospatial analytics systems with existing legacy IT infrastructures. Many organizations still rely on outdated data management platforms that are incompatible with modern geospatial solutions. This lack of interoperability hampers seamless data sharing and limits the ability to generate comprehensive spatial insights. Additionally, the absence of standardized formats across different software providers creates further friction, complicating cross-departmental collaboration and multi-platform analytics.

Shortage of Skilled Workforce

The geospatial analytics field faces a notable skills gap in North America, which is slowing the pace of innovation and implementation. While demand for advanced spatial analysis continues to rise, there is a limited pool of professionals with expertise in GIS, remote sensing, machine learning, and spatial statistics. This shortage hinders organizations’ ability to fully utilize geospatial platforms and capitalize on emerging technologies. Training and upskilling initiatives are necessary but require time and resources, adding another layer of constraint.

High Implementation Costs for SMEs

\Although large enterprises are adopting geospatial analytics at scale, small and medium-sized enterprises (SMEs) often face cost-related barriers. The high initial investment in software, hardware, and skilled personnel makes adoption less feasible for resource-constrained organizations, thereby limiting market penetration in this segment.

Market Opportunities:

The North America geospatial analytics market presents significant growth opportunities through the increasing integration of artificial intelligence (AI) and machine learning (ML) into geospatial platforms. These advanced technologies are enhancing the analytical capabilities of spatial data by enabling predictive modeling, pattern recognition, and real-time decision support. As organizations seek to leverage data for proactive strategy development, AI-powered geospatial tools are gaining momentum across sectors such as defense, public safety, urban planning, and insurance. The potential to derive deeper insights from complex datasets opens up new avenues for innovation, especially in high-stakes applications like disaster response, crime prediction, and infrastructure optimization.

Additionally, the rising demand for sustainability solutions and environmental intelligence is creating a substantial opportunity for geospatial analytics in North America. Governments and corporations are increasingly relying on geospatial tools to support environmental compliance, monitor ecological changes, and plan carbon reduction strategies. Applications such as precision agriculture, renewable energy site planning, and climate resilience mapping are rapidly gaining adoption. Moreover, the growing emphasis on digital twin technology in smart city projects is expected to further amplify demand for high-resolution, location-based data. As data accessibility improves through open-source initiatives and cloud-based platforms, the market is poised to benefit from a broader user base, including small and medium-sized enterprises and academic institutions. This convergence of technological advancement and socio-environmental demand positions geospatial analytics as a foundational tool for North America’s digital and sustainable transformation.

Market Segmentation Analysis:

The North America geospatial analytics market is segmented into multiple categories that reflect the diverse applications and technological preferences across industries.

By component, the market is divided into software and services. Software holds a major share due to its role in enabling spatial data processing, while services such as consulting and integration are gaining traction with rising customization demands.

By deployment mode, cloud-based solutions are witnessing accelerated adoption, especially among enterprises seeking scalable and cost-effective options. However, on-premise deployment remains preferred in data-sensitive sectors like defense and government, where data control is critical.

By organization size, large enterprises dominate market adoption due to their infrastructure and budget capabilities. Nonetheless, small and medium-sized enterprises (SMEs) are increasingly adopting cloud-based geospatial solutions to enhance operational agility and reduce IT overheads.

By type, including surface and field analytics, network and location analytics, geovisualization, and others. Network and location analytics are particularly significant in logistics, while geovisualization is gaining ground in urban planning and construction.

By industry verticals, the government and defense sectors lead in market share, leveraging geospatial tools for surveillance, emergency response, and resource management. Environmental monitoring is expanding due to rising climate initiatives, while sectors like automotive, engineering, and construction are incorporating spatial analysis for design optimization and mobility planning. Mining and manufacturing use geospatial tools for asset tracking and site evaluation. As demand diversifies, tailored solutions across all segments continue to drive regional market expansion.

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:

North America stands as a significant contributor to the global geospatial analytics market, driven by technological advancements and widespread adoption across various sectors. The region’s robust infrastructure and emphasis on innovation have facilitated the integration of geospatial technologies in applications ranging from urban planning to environmental monitoring.

United States

The United States leads the North American geospatial analytics market, propelled by substantial investments in technology and infrastructure. The country’s focus on enhancing situational awareness and monitoring capabilities, particularly in defense and emergency response sectors, has been a key driver. Additionally, the U.S. has witnessed growing collaborations between public agencies, academic institutions, and private firms to accelerate innovation in geospatial solutions. The strong presence of leading technology providers and start-ups further enhances the country’s strategic advantage in this domain.

Canada

Canada also contributes significantly to the regional market, leveraging geospatial analytics for natural resource management and urban development. The country’s initiatives in environmental conservation and sustainable development have led to increased adoption of geospatial technologies. Collaborations between government agencies and private enterprises are fostering innovation and expanding the application scope of geospatial technologies across various industries. Canada’s commitment to integrating geospatial analytics into its infrastructure projects underscores its role in the regional market.

Mexico

Mexico is emerging as a growing market for geospatial analytics, with increasing adoption in sectors such as agriculture, urban planning, and disaster management. The government’s efforts to modernize infrastructure and improve public services have led to a greater emphasis on geospatial technologies. Investments in smart city initiatives and environmental monitoring are further propelling the demand for geospatial analytics in the country. As Mexico continues to develop its technological capabilities, it is poised to play a more prominent role in the North American geospatial analytics market.

Shape Your Report to Specific Countries or Regions & Enjoy 30% Off!

Customize Now

Key Player Analysis:

- General Electric
- SAP SE
- Google, Inc.
- Bentley Systems, Incorporated
- Alteryx, Inc.
- Oracle Corporation
- TOMTOM International, Inc.
- Hexagon AB
- MDA Corporation
- Trimble, Inc.
- Esri
- Furgo NV
- PlanetLabs
- Ouster
- Microsoft Corporation

Competitive Analysis:

The North America geospatial analytics market is highly competitive, marked by the presence of several global and regional players striving to expand their market footprint through innovation and strategic partnerships. Leading companies such as ESRI, IBM Corporation, Oracle Corporation, Hexagon AB, and Trimble Inc. dominate the landscape by offering advanced geospatial platforms, integrated GIS solutions, and cloud-based analytics tools. These players continuously invest in R&D to enhance their technological capabilities and address evolving customer demands across industries like transportation, defense, agriculture, and urban planning. Start-ups and niche players are also gaining ground by developing specialized applications and leveraging AI and machine learning for real-time analytics. Strategic collaborations with government agencies, defense organizations, and research institutions are further shaping competitive dynamics. As the demand for accurate, real-time spatial intelligence continues to rise, market players are focusing on scalability, data security, and user-centric innovations to maintain a competitive edge.

Recent Developments:

In late 2024, Google announced a significant update to its geospatial analytics offerings with the release of Google Earth Engine version 1.4.2rc0. This update is part of Google’s ongoing efforts to enhance geospatial data processing and analysis capabilities for users in North America and globally, enabling more advanced environmental monitoring and urban planning application.
In October 2024, Bentley Systems, Incorporated announced a strategic partnership with Google to integrate Google’s high-quality geospatial content with Bentley’s infrastructure engineering software and digital twin platform. This collaboration allows Bentley clients and developers to leverage Google Maps Platform geospatial content, such as photorealistic 3D tiles, within their digital workflows.
In March 2023, Mach9, a North American startup specializing in geospatial production technologies, launched its first product. The new solution utilizes computer vision and artificial intelligence to accelerate the creation of 2D and 3D CAD and GIS engineering deliverables, catering to the rising demand for rapid geospatial data processing in infrastructure management across North America.

Market Concentration & Characteristics:

The North America geospatial analytics market demonstrates moderate to high market concentration, with a few dominant players accounting for a substantial share of the total revenue. Major corporations such as ESRI, IBM, Oracle, and Hexagon AB have established strong brand recognition, extensive client networks, and robust product portfolios, which solidify their competitive positions. The market is characterized by rapid technological evolution, with emphasis on cloud integration, real-time analytics, and AI-enhanced geospatial solutions. Vendor differentiation often hinges on data accuracy, platform scalability, interoperability, and customer support services. The industry exhibits strong demand from both public and private sectors, with government agencies representing a significant customer base due to their reliance on spatial data for planning, defense, and infrastructure development. The presence of numerous start-ups and specialized firms fosters innovation but also intensifies competition, driving continuous advancements and diversification in application areas across the North American landscape.

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:

Increasing adoption of AI-driven geospatial solutions will enhance predictive capabilities across critical sectors.
Expansion of smart city projects will boost demand for location-based infrastructure planning tools.
Integration with 5G networks will enable faster real-time data processing and analytics.
Growing use of digital twins in urban modeling will drive demand for high-resolution geospatial data.
Enhanced environmental monitoring initiatives will lead to broader application in sustainability programs.
Greater reliance on geospatial tools for disaster management will elevate public sector investments.
Proliferation of autonomous vehicles will necessitate advanced mapping and spatial analysis systems.
Small and medium enterprises will increasingly adopt cloud-based geospatial platforms due to affordability.
Educational and research institutions will expand usage in climate, agriculture, and urban studies.
Cross-industry collaborations will accelerate innovation and expand the application scope of geospatial analytics.

CHAPTER NO. 1 : INTRODUCTION 23

1.1.1. Report Description 23

Purpose of the Report 23

USP & Key Component 23

1.1.2. Key Benefits for Stakeholders 23

1.1.3. Target Audience 24

1.1.4. Report Scope 24

CHAPTER NO. 2 : EXECUTIVE SUMMARY 25

2.1. Geospatial Analytics Market Snapshot 25

2.1.1. North America Geospatial Analytics Market, 2018 – 2032 (USD Million) 26

CHAPTER NO. 3 : GEOPOLITICAL CRISIS IMPACT ANALYSIS 27

3.1. Russia-Ukraine and Israel-Palestine War Impacts 27

CHAPTER NO. 4 : GEOSPATIAL ANALYTICS MARKET – INDUSTRY ANALYSIS 28

4.1. Introduction 28

4.2. Market Drivers 29

4.2.1. Driving Factor 1 Analysis 29

4.2.2. Driving Factor 2 Analysis 30

4.3. Market Restraints 31

4.3.1. Restraining Factor Analysis 31

4.4. Market Opportunities 32

4.4.1. Market Opportunities Analysis 32

4.5. Porter’s Five Force analysis 33

4.6. Value Chain Analysis 34

4.7. Buying Criteria 35

CHAPTER NO. 5 : ANALYSIS COMPETITIVE LANDSCAPE 36

5.1. Company Market Share Analysis – 2023 36

5.1.1. North America Geospatial Analytics Market: Company Market Share, by Revenue, 2023 36

5.1.2. North America Geospatial Analytics Market: Top 6 Company Market Share, by Revenue, 2023 36

5.1.3. North America Geospatial Analytics Market: Top 3 Company Market Share, by Revenue, 2023 37

5.2. North America Geospatial Analytics Market Company Revenue Market Share, 2023 38

5.3. Company Assessment Metrics, 2023 39

5.3.1. Stars 39

5.3.2. Emerging Leaders 39

5.3.3. Pervasive Players 39

5.3.4. Participants 39

5.4. Start-ups /Code Assessment Metrics, 2023 39

5.4.1. Progressive Companies 39

5.4.2. Responsive Companies 39

5.4.3. Dynamic Companies 39

5.4.4. Starting Blocks 39

5.5. Strategic Developments 40

5.5.1. Acquisition & Mergers 40

New Product Launch 40

Regional Expansion 40

5.6. Key Players Product Matrix 41

CHAPTER NO. 6 : PESTEL & ADJACENT MARKET ANALYSIS 42

6.1. PESTEL 42

6.1.1. Political Factors 42

6.1.2. Economic Factors 42

6.1.3. Social Factors 42

6.1.4. Technological Factors 42

6.1.5. Environmental Factors 42

6.1.6. Legal Factors 42

6.2. Adjacent Market Analysis 42

CHAPTER NO. 7 : GEOSPATIAL ANALYTICS MARKET – BY COMPONENT SEGMENT ANALYSIS 43

7.1. Geospatial Analytics Market Overview, by Component Segment 43

7.1.1. Geospatial Analytics Market Revenue Share, By Component, 2023 & 2032 44

7.1.2. Geospatial Analytics Market Attractiveness Analysis, By Component 45

7.1.3. Incremental Revenue Growth Opportunities, by Component, 2024 – 2032 45

7.1.4. Geospatial Analytics Market Revenue, By Component, 2018, 2023, 2027 & 2032 46

7.2. Software 47

7.3. Services 48

CHAPTER NO. 8 : GEOSPATIAL ANALYTICS MARKET – BY DEPLOYMENT MODE SEGMENT ANALYSIS 49

8.1. Geospatial Analytics Market Overview, by Deployment Mode Segment 49

8.1.1. Geospatial Analytics Market Revenue Share, By Deployment Mode, 2023 & 2032 50

8.1.2. Geospatial Analytics Market Attractiveness Analysis, By Deployment Mode 51

8.1.3. Incremental Revenue Growth Opportunities, by Deployment Mode, 2024 – 2032 51

8.1.4. Geospatial Analytics Market Revenue, By Deployment Mode, 2018, 2023, 2027 & 2032 52

8.2. On-premise 53

8.3. Cloud 54

CHAPTER NO. 9 : GEOSPATIAL ANALYTICS MARKET – BY TYPE SEGMENT ANALYSIS 55

9.1. Geospatial Analytics Market Overview, by Type Segment 55

9.1.1. Geospatial Analytics Market Revenue Share, By Type, 2023 & 2032 56

9.1.2. Geospatial Analytics Market Attractiveness Analysis, By Type 57

9.1.3. Incremental Revenue Growth Opportunities, by Type, 2024 – 2032 57

9.1.4. Geospatial Analytics Market Revenue, By Type, 2018, 2023, 2027 & 2032 58

9.2. Surface and Field Analytics 59

9.3. Network and Location Analytics 60

9.4. Geovisualization 61

9.5. Others 62

CHAPTER NO. 10 : GEOSPATIAL ANALYTICS MARKET – BY INDUSTRY VERTICAL SEGMENT ANALYSIS 63

10.1. Geospatial Analytics Market Overview, by Industry Vertical Segment 63

10.1.1. Geospatial Analytics Market Revenue Share, By Industry Vertical, 2023 & 2032 64

10.1.2. Geospatial Analytics Market Attractiveness Analysis, By Industry Vertical 65

10.1.3. Incremental Revenue Growth Opportunities, by Industry Vertical, 2024 – 2032 65

10.1.4. Geospatial Analytics Market Revenue, By Industry Vertical, 2018, 2023, 2027 & 2032 66

10.2. Mining and Manufacturing 67

10.3. Government 68

10.4. Environmental Monitoring 69

10.5. Defence and Security 70

10.6. Engineering and Construction 71

10.7. Automotive 72

10.8. Others 73

CHAPTER NO. 11 : GEOSPATIAL ANALYTICS MARKET – NORTH AMERICA 74

11.1. North America 74

11.1.1. Key Highlights 74

11.1.2. North America Geospatial Analytics Market Revenue, By Country, 2018 – 2023 (USD Million) 75

11.2. Component 76

11.3. North America Geospatial Analytics Market Revenue, By Component, 2018 – 2023 (USD Million) 76

11.4. North America Geospatial Analytics Market Revenue, By Component, 2024 – 2032 (USD Million) 76

11.5. Deployment Mode 77

11.6. North America Geospatial Analytics Market Revenue, By Deployment Mode, 2018 – 2023 (USD Million) 77

11.6.1. North America Geospatial Analytics Market Revenue, By Deployment Mode, 2024 – 2032 (USD Million) 77

11.7. Enterprise Size 78

11.8. North America Geospatial Analytics Market Revenue, By Enterprise Size, 2018 – 2023 (USD Million) 78

11.8.1. North America Geospatial Analytics Market Revenue, By Enterprise Size, 2024 – 2032 (USD Million) 78

11.9. Type 79

11.10. North America Geospatial Analytics Market Revenue, By Type, 2018 – 2023 (USD Million) 79

11.10.1. North America Geospatial Analytics Market Revenue, By Type, 2024 – 2032 (USD Million) 79

11.11. Industry Vertical 80

11.11.1. North America Geospatial Analytics Market Revenue, By Industry Vertical, 2018 – 2023 (USD Million) 80

11.11.2. North America Geospatial Analytics Market Revenue, By Industry Vertical, 2024 – 2032 (USD Million) 80

11.12. U.S. 81

11.13. Canada 81

11.14. Mexico 81

CHAPTER NO. 12 : COMPANY PROFILES 83

12.1. General Electric 83

12.1.1. Company Overview 83

12.1.2. Product Portfolio 83

12.1.3. Swot Analysis 83

12.1.4. Business Strategy 84

12.1.5. Financial Overview 84

12.2. SAP SE 85

12.3. Google, Inc. 85

12.4. Bentley Systems, Incorporated 85

12.5. Alteryx, Inc. 85

12.6. Oracle Corporation 85

12.7. TOMTOM International, Inc 85

12.8. Hexagon AB 85

12.9. MDA Corporation 85

12.10. Trimble, Inc. 85

12.11. Esri 85

12.12. Furgo NV 85

12.13. PlanetLabs 85

12.14. Ouster 85

12.15. Microsoft Corporation 85

12.16. Others 85

]

List of Figures

FIG NO. 1. North America Geospatial Analytics Market Revenue, 2018 – 2032 (USD Million) 26

FIG NO. 2. Porter’s Five Forces Analysis for North America Geospatial Analytics Market 33

FIG NO. 3. Value Chain Analysis for North America Geospatial Analytics Market 34

FIG NO. 4. Company Share Analysis, 2023 36

FIG NO. 5. Company Share Analysis, 2023 36

FIG NO. 6. Company Share Analysis, 2023 37

FIG NO. 7. Geospatial Analytics Market – Company Revenue Market Share, 2023 38

FIG NO. 8. Geospatial Analytics Market Revenue Share, By Component, 2023 & 2032 44

FIG NO. 9. Market Attractiveness Analysis, By Component 45

FIG NO. 10. Incremental Revenue Growth Opportunities by Component, 2024 – 2032 45

FIG NO. 11. Geospatial Analytics Market Revenue, By Component, 2018, 2023, 2027 & 2032 46

FIG NO. 12. North America Geospatial Analytics Market for Software, Revenue (USD Million) 2018 – 2032 47

FIG NO. 13. North America Geospatial Analytics Market for Services, Revenue (USD Million) 2018 – 2032 48

FIG NO. 14. Geospatial Analytics Market Revenue Share, By Deployment Mode, 2023 & 2032 50

FIG NO. 15. Market Attractiveness Analysis, By Deployment Mode 51

FIG NO. 16. Incremental Revenue Growth Opportunities by Deployment Mode, 2024 – 2032 51

FIG NO. 17. Geospatial Analytics Market Revenue, By Deployment Mode, 2018, 2023, 2027 & 2032 52

FIG NO. 18. North America Geospatial Analytics Market for On-premise, Revenue (USD Million) 2018 – 2032 53

FIG NO. 19. North America Geospatial Analytics Market for Cloud, Revenue (USD Million) 2018 – 2032 54

FIG NO. 20. Geospatial Analytics Market Revenue Share, By Type, 2023 & 2032 56

FIG NO. 21. Market Attractiveness Analysis, By Type 57

FIG NO. 22. Incremental Revenue Growth Opportunities by Type, 2024 – 2032 57

FIG NO. 23. Geospatial Analytics Market Revenue, By Type, 2018, 2023, 2027 & 2032 58

FIG NO. 24. North America Geospatial Analytics Market for Surface and Field Analytics, Revenue (USD Million) 2018 – 2032 59

FIG NO. 25. North America Geospatial Analytics Market for Network and Location Analytics, Revenue (USD Million) 2018 – 2032 60

FIG NO. 26. North America Geospatial Analytics Market for Geovisualization, Revenue (USD Million) 2018 – 2032 61

FIG NO. 27. North America Geospatial Analytics Market for Others, Revenue (USD Million) 2018 – 2032 62

FIG NO. 28. Geospatial Analytics Market Revenue Share, By Industry Vertical, 2023 & 2032 64

FIG NO. 29. Market Attractiveness Analysis, By Industry Vertical 65

FIG NO. 30. Incremental Revenue Growth Opportunities by Industry Vertical, 2024 – 2032 65

FIG NO. 31. Geospatial Analytics Market Revenue, By Industry Vertical, 2018, 2023, 2027 & 2032 66

FIG NO. 32. North America Geospatial Analytics Market for Mining and Manufacturing, Revenue (USD Million) 2018 – 2032 67

FIG NO. 33. North America Geospatial Analytics Market for Government, Revenue (USD Million) 2018 – 2032 68

FIG NO. 34. North America Geospatial Analytics Market for Environmental Monitoring, Revenue (USD Million) 2018 – 2032 69

FIG NO. 35. North America Geospatial Analytics Market for Defence and Security, Revenue (USD Million) 2018 – 2032 70

FIG NO. 36. North America Geospatial Analytics Market for Engineering and Construction, Revenue (USD Million) 2018 – 2032 71

FIG NO. 37. North America Geospatial Analytics Market for Automotive, Revenue (USD Million) 2018 – 2032 72

FIG NO. 38. North America Geospatial Analytics Market for Others, Revenue (USD Million) 2018 – 2032 73

FIG NO. 39. North America Geospatial Analytics Market Revenue, 2018 – 2032 (USD Million) 74

List of Tables

TABLE NO. 1. : North America 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. : North America Geospatial Analytics Market Revenue, By Country, 2018 – 2023 (USD Million) 71

TABLE NO. 5. : North America Geospatial Analytics Market Revenue, By Country, 2024 – 2032 (USD Million) 71

TABLE NO. 6. : North America Geospatial Analytics Market Revenue, By Component, 2018 – 2023 (USD Million) 72

TABLE NO. 7. : North America Geospatial Analytics Market Revenue, By Component, 2024 – 2032 (USD Million) 72

TABLE NO. 8. : North America Geospatial Analytics Market Revenue, By Deployment Mode, 2018 – 2023 (USD Million) 73

TABLE NO. 9. : North America Geospatial Analytics Market Revenue, By Deployment Mode, 2024 – 2032 (USD Million) 73

TABLE NO. 10. : North America Geospatial Analytics Market Revenue, By Enterprise Size, 2018 – 2023 (USD Million) 74

TABLE NO. 11. : North America Geospatial Analytics Market Revenue, By Enterprise Size, 2024 – 2032 (USD Million) 74

TABLE NO. 12. : North America Geospatial Analytics Market Revenue, By Type, 2018 – 2023 (USD Million) 75

TABLE NO. 13. : North America Geospatial Analytics Market Revenue, By Type, 2024 – 2032 (USD Million) 75

TABLE NO. 14. : North America Geospatial Analytics Market Revenue, By Industry Vertical, 2018 – 2023 (USD Million) 76

TABLE NO. 15. : North America Geospatial Analytics Market Revenue, By Industry Vertical, 2024 – 2032 (USD Million) 76

Frequently Asked Questions

What is the current size of the North America Geospatial Analytics Market?

The market was valued at USD 29,681.15 million in 2023 and is projected to reach USD 66,744.40 million by 2032, growing at a CAGR of 9.4%.

What factors are driving the growth of the North America Geospatial Analytics Market?

Growth is driven by the rise of IoT and smart sensors, increasing GIS demand in transportation, smart city development, environmental programs, and the integration of predictive analytics.

What are some challenges faced by the North America Geospatial Analytics Market?

Challenges include data privacy concerns, integration with legacy systems, high implementation costs for SMEs, and a shortage of skilled professionals.

Who are the major players in the North America Geospatial Analytics Market?

Leading players include ESRI, IBM Corporation, Oracle Corporation, Hexagon AB, and Trimble Inc., along with various regional start-ups and specialized firms.

Purchase Options

Single User

$3699

Multi User

$4699

Custom Report

$10699

Let us help you

WILLIAM, North America

+1 304 308 1216

KEITH PHILLIPS, Europe

+44 7809 866 263

LEE VALLANCE, Asia Pacific

+64 22 017 0275

EMAIL US

Request Sample

Report delivery within 24 to 48 hours

– Other Info –

–What people say?-

I am very impressed with the information in this report. The author clearly did their research when they came up with this product and it has already given me a lot of ideas.

Jana Schmidt
CEDAR CX Technologies

– Connect with us –