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U.S. Geospatial Analytics Market

U.S. 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
U.S. Geospatial Analytics MarketSize 2024	USD 24,656.13 million
U.S. Geospatial Analytics Market, CAGR	9.6%
U.S. Geospatial Analytics Market Size 2032	USD 56,285.55 million

Market Overview:

U.S. Geospatial Analytics Market size was valued at USD 24,656.13 million in 2023 and is anticipated to reach USD 56,285.55 million by 2032, at a CAGR of 9.6% during the forecast period (2023-2032).

The U.S. geospatial analytics market is driven by several key factors. Technological advancements in Geographic Information Systems (GIS), remote sensing, and real-time analytics have significantly improved the precision and applicability of geospatial data across various industries. The rapid urbanization and ongoing infrastructure development across the country are pushing the demand for efficient resource management and urban planning, further driving the adoption of geospatial analytics. Government initiatives, particularly at the federal and state levels, are also playing a crucial role by funding smart city projects and environmental monitoring programs, enhancing public services and sustainability efforts. Additionally, the defense and security sectors’ reliance on geospatial analytics for strategic planning, surveillance, and situational awareness contributes substantially to market growth.

Regionally, the United States exhibits diverse characteristics that influence the geospatial analytics market. The Northeast, with major metropolitan areas such as New York and Boston, focuses heavily on urban planning, transportation management, and environmental monitoring. The West Coast, particularly Silicon Valley, fosters technological innovation, making it a hub for advancements in geospatial technologies, with applications spanning agriculture, autonomous vehicles, and more. The Midwest, with its strong agricultural presence, utilizes geospatial analytics for precision farming, resource management, and sustainability efforts. In the South, cities like Atlanta and Houston are experiencing rapid urban growth, which is fueling the demand for infrastructure development and disaster management solutions. These regional dynamics collectively contribute to the growth and diversification of the U.S. geospatial analytics market.

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Market Insights:

The U.S. Geospatial Analytics Market was valued at USD 24,656.13 million in 2023 and is projected to reach USD 56,285.55 million by 2032, growing at a CAGR of 9.6% during the forecast period (2023-2032).
Technological advancements in GIS, remote sensing, and real-time analytics are significantly improving the precision and applicability of geospatial data across various industries.
Urbanization and infrastructure development are primary drivers of market growth, with the demand for advanced geospatial solutions in urban planning, zoning, and transportation management.
Government initiatives, particularly in smart city projects and environmental monitoring, are playing a crucial role in expanding the U.S. geospatial analytics market.
The defense and security sectors heavily rely on geospatial data for strategic planning, surveillance, and situational awareness, contributing significantly to market growth.
High initial costs for implementing geospatial technologies pose a challenge for smaller organizations, particularly those in sectors like agriculture and urban planning with budget constraints.
A shortage of skilled professionals in geospatial technologies and data analysis is limiting the growth of the market, particularly in sectors requiring specialized expertise.

Report Scope

This report segments the U.S. Geospatial Analytics Market as follow

Market Drivers:

Technological Advancements and Integration

The U.S. geospatial analytics market is significantly benefiting from technological advancements, particularly in Geographic Information Systems (GIS), remote sensing, and real-time analytics. For example, in June 2023, Hexagon introduced HxGN Smart Sites, a real-time data visualization and location intelligence solution designed for complex operations at airports, industrial facilities, and hospitals. This platform integrates data from sources such as CAD, ERP, and BIM systems, optimizing safety and streamlining workflows for faster, improved decision-making. GIS has become a crucial tool for collecting, analyzing, and visualizing spatial data, allowing for improved decision-making across sectors. The integration of advanced satellite imagery and sensors has increased the accuracy of data, enabling more precise mapping and spatial analysis. Additionally, the development of cloud-based geospatial platforms has made these technologies more accessible, cost-effective, and scalable for businesses and government agencies. These innovations are enhancing the ability to monitor changes in real time, which is pivotal in industries like urban planning, agriculture, and defense.

Urbanization and Infrastructure Development

Urbanization in the United States is one of the primary drivers for the growth of the geospatial analytics market. As cities expand, efficient urban planning becomes more complex, requiring advanced tools to manage land use, zoning, transportation, and utilities. Geospatial analytics provides insights into traffic patterns, infrastructure stress points, and population growth, which are critical for effective city management and long-term planning. Moreover, the growing need for infrastructure development, including the construction of smart cities, bridges, and highways, further emphasizes the importance of geospatial data. With the adoption of smart technologies in urban environments, geospatial analytics plays a central role in optimizing resource allocation, reducing costs, and improving the quality of urban living.

Government Initiatives and Investments

Government investments and policies are a major catalyst for the expansion of the U.S. geospatial analytics market. At both the federal and state levels, there is significant support for initiatives focused on sustainability, environmental monitoring, and disaster management. The U.S. government has increasingly turned to geospatial data for purposes such as land management, resource allocation, and climate change monitoring. For instance, In June 2023, NV5 Global’s Axim Geospatial received a prime contract from the National Geospatial-Intelligence Agency (NGA) as part of the GEOINT Enterprise Operations Service and Solutions Program, focusing on providing reliable geospatial intelligence for analysis and source directorate. Additionally, government agencies involved in emergency response, public health, and infrastructure management rely on geospatial technologies to better respond to disasters and improve overall public safety.

Defense and Security Applications

The defense and security sectors in the U.S. continue to be major drivers for the geospatial analytics market. Geospatial data is essential for strategic planning, surveillance, and military operations, where accuracy and real-time data are critical. The U.S. military and defense contractors utilize geospatial technologies for everything from tracking enemy movements to assessing terrain for tactical operations. The integration of GIS and satellite imagery with machine learning algorithms enhances the ability to analyze vast amounts of data, providing more accurate intelligence for military and defense applications. Furthermore, geospatial analytics supports cybersecurity by helping identify vulnerabilities and protect critical infrastructure. As national security threats evolve, the demand for geospatial data and its applications in defense continues to grow, providing a consistent boost to the market.

Market Trends:

Integration of Artificial Intelligence and Machine Learning

A prominent trend in the U.S. geospatial analytics market is the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These innovations enable more sophisticated data analysis by automating the interpretation of vast amounts of geospatial data. AI and ML algorithms are enhancing predictive analytics, offering deeper insights into spatial patterns and trends. For example, AI can identify changes in land use or environmental conditions, enabling faster and more accurate decision-making. Additionally, these technologies are improving the ability to forecast urban growth, resource management needs, and potential risks related to climate change or natural disasters. As the volume and complexity of geospatial data increase, AI and ML are becoming indispensable for deriving actionable insights.

Adoption of Cloud-Based Geospatial Solutions

Another significant trend driving the U.S. geospatial analytics market is the growing adoption of cloud-based solutions. Cloud computing has revolutionized how geospatial data is stored, accessed, and processed. Traditionally, organizations required on-premises infrastructure to manage geospatial data, which was often costly and resource-intensive. However, cloud-based platforms now offer scalable and flexible solutions, enabling organizations of all sizes to access advanced geospatial analytics tools without heavy capital investment. This shift is fostering greater collaboration and data sharing, as cloud platforms facilitate real-time data updates and access across various stakeholders, including government agencies, private companies, and research institutions. Furthermore, the ability to integrate geospatial analytics with other cloud-based tools enhances overall operational efficiency, especially for industries like agriculture, urban planning, and transportation.

Growing Demand for Location-Based Services

The rise in location-based services (LBS) is also a notable trend in the U.S. geospatial analytics market. As consumer and business needs for real-time, location-specific information increase, the demand for LBS is surging. These services leverage geospatial data to provide valuable insights for navigation, personalized marketing, and asset tracking, among other applications. The proliferation of smartphones and GPS technology has expanded the reach of LBS, allowing businesses to offer services tailored to an individual’s specific location. For instance, retail companies use LBS to drive foot traffic to stores through targeted promotions, while logistics companies optimize delivery routes and fleet management. The growing adoption of LBS is pushing the need for more robust geospatial analytics platforms capable of processing real-time location data at scale.

Focus on Sustainability and Environmental Monitoring

Sustainability and environmental conservation have become major focal points in the U.S. geospatial analytics market. As climate change concerns intensify, there is a rising demand for geospatial analytics to monitor and mitigate environmental impacts. These technologies are increasingly being used for ecosystem management, forest monitoring, and wildlife conservation efforts. Geospatial data helps track deforestation, monitor water resources, and assess the health of natural habitats. Moreover, geospatial analytics play a crucial role in disaster management, providing valuable insights for flood prediction, wildfire detection, and tracking the effects of natural disasters. As government policies and corporate initiatives increasingly focus on sustainability, geospatial technologies are becoming essential tools in achieving environmental goals, driving further market growth.

Market Challenges Analysis:

High Initial Costs and Infrastructure Requirements

One of the key restraints in the U.S. geospatial analytics market is the high initial cost of implementing geospatial technologies. The need for advanced software, high-quality data collection tools (such as satellite imagery and drones), and the infrastructure required to process and store large volumes of geospatial data can be prohibitively expensive for some organizations. For instance, in 2022, the average cost for implementing geospatial technologies in medium to large enterprises was $750,000, which included expenses for data acquisition, software, and hardware. For many smaller businesses and local government agencies, the upfront investment required to deploy and maintain geospatial analytics systems can limit their ability to adopt these technologies. This financial barrier can slow down market adoption, particularly among smaller stakeholders in industries like agriculture or urban planning, where budget constraints are more prevalent.

Data Privacy and Security Concerns

As geospatial data becomes more integrated into various industries, the issue of data privacy and security is emerging as a significant challenge. The collection and use of spatial data often involve sensitive information, such as personal location data or proprietary business intelligence. Protecting this data from breaches or misuse is critical, especially given the increasing concerns surrounding cybersecurity. Additionally, there are growing regulatory requirements related to data privacy, such as the General Data Protection Regulation (GDPR) in Europe and similar laws in the U.S. These regulations can add complexity and compliance costs for businesses that rely on geospatial analytics, hindering their ability to fully leverage the technology’s potential.

Lack of Skilled Workforce

Another challenge facing the U.S. geospatial analytics market is the shortage of skilled professionals with expertise in geospatial technologies and data analysis. The complexity of geospatial analytics requires specialized knowledge in GIS, remote sensing, and data science. However, there is a significant talent gap, as educational and training programs have not kept pace with the rapid advancements in the field. This shortage of qualified personnel can delay the implementation of geospatial analytics solutions, particularly in smaller organizations and sectors that require expertise to interpret complex spatial data effectively.

Market Opportunities:

The U.S. geospatial analytics market presents significant opportunities driven by the growing demand for location-based services (LBS) and smart technologies. As industries across the board increasingly rely on spatial data to enhance decision-making, there is a growing need for more sophisticated geospatial tools and platforms. In particular, sectors such as retail, logistics, and urban planning are tapping into geospatial analytics to optimize operations and enhance customer experiences. The rising demand for real-time location data and the continued expansion of the Internet of Things (IoT) create a fertile ground for companies to offer innovative solutions. By leveraging geospatial data for predictive analytics, organizations can gain deeper insights into consumer behavior, operational efficiencies, and market trends, providing a clear competitive advantage.

Moreover, the increasing focus on sustainability and environmental conservation offers a substantial opportunity in the U.S. geospatial analytics market. Governments and private entities are prioritizing environmental monitoring and climate change mitigation, areas where geospatial analytics can provide critical insights. With tools to track natural resource use, monitor ecosystem health, and predict disaster impacts, geospatial technologies are becoming essential in the fight against climate change. The push for smart cities and infrastructure modernization further strengthens the market outlook, as cities and communities turn to geospatial data for efficient resource management, transportation optimization, and enhanced urban planning. This presents opportunities for both established players and new entrants to capitalize on the growing integration of geospatial technologies into environmental and urban development initiatives.

Market Segmentation Analysis:

The U.S. geospatial analytics market is segmented across various dimensions, each with its unique growth drivers.

By component, the market is divided into software and services. Software remains the largest segment, with advancements in GIS and remote sensing technologies driving demand for specialized platforms. Services, including consulting, integration, and maintenance, are also critical, as businesses increasingly require expert support to implement and optimize geospatial solutions.

By deployment mode, the market is divided into on-premise and cloud-based solutions. Cloud deployment is growing rapidly due to its scalability, flexibility, and cost-effectiveness. Cloud platforms enable businesses to access geospatial data and analytics without investing in extensive infrastructure, facilitating broader adoption across industries.

By organization size, the market caters to both large enterprises and SMEs. Large enterprises, with their vast resources, are early adopters of geospatial analytics, integrating advanced systems for strategic planning and decision-making. SMEs are increasingly adopting cloud-based solutions due to lower upfront costs and the ability to scale as needed.

By type, which includes surface and field analytics, network and location analytics, geovisualization, and others. Surface and field analytics are widely used in agriculture and urban planning, while network and location analytics are crucial for logistics, transportation, and retail. Geovisualization, which enables users to interpret spatial data through visual representations, is gaining traction across various industries.

By industry vertical, the geospatial analytics market serves sectors such as mining, manufacturing, government, environmental monitoring, defense and security, engineering, construction, and automotive. Government and defense applications, in particular, drive substantial demand for geospatial data in public safety, security, and urban infrastructure 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 U.S. geospatial analytics market is experiencing significant growth, driven by technological advancements and increasing demand across various industries. While comprehensive regional market share data is limited, we can infer trends based on industry activities and technological adoption in different regions.

Northeast Region

The Northeast, encompassing states like New York and Massachusetts, is a hub for technology and innovation. This region’s strong emphasis on urban planning, environmental monitoring, and smart city initiatives drives the adoption of geospatial analytics. The presence of leading universities and research institutions fosters a conducive environment for the development and application of geospatial technologies.

West Coast

The West Coast, particularly California, is at the forefront of technological advancements. Silicon Valley’s concentration of tech companies accelerates the development and deployment of geospatial analytics solutions. Industries such as agriculture, autonomous vehicles, and environmental monitoring are prominent adopters of geospatial technologies in this region, leveraging them for precision farming, navigation, and sustainability efforts.

Midwest

In the Midwest, states like Illinois and Ohio are integrating geospatial analytics into manufacturing, agriculture, and infrastructure planning. The focus on precision agriculture and efficient resource management drives the demand for geospatial solutions. Additionally, urban development and transportation planning in cities like Chicago benefit from geospatial data to optimize growth and connectivity.

South

The South, including states like Texas and Georgia, is witnessing rapid urbanization and infrastructure development. Geospatial analytics plays a crucial role in managing urban sprawl, transportation networks, and disaster response strategies. The region’s emphasis on energy, utilities, and defense sectors further propels the adoption of geospatial technologies.

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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
MDA Corporation
Trimble, Inc.
Esri
Furgo NV
PlanetLabs
Ouster
Microsoft Corporation
Others

Competitive Analysis:

The U.S. geospatial analytics market is highly competitive, with key players focusing on technological innovation and strategic partnerships to expand their market presence. Major companies such as Esri, Hexagon AB, Trimble Inc., and IBM dominate the market, offering a wide range of geospatial solutions that include GIS software, satellite imagery, and real-time data analytics. These players leverage advanced technologies like artificial intelligence (AI) and machine learning (ML) to enhance the capabilities of their platforms, offering customers deeper insights into spatial data. Smaller companies and startups are also emerging, providing specialized solutions for niche applications such as agriculture, defense, and environmental monitoring. To maintain a competitive edge, these companies often focus on cloud-based solutions, offering scalable, cost-effective platforms that cater to businesses of all sizes. Additionally, strategic collaborations and acquisitions are common as companies look to strengthen their product offerings and expand into new market segments.

Recent Developments:

In October 2024, Bentley Systems, Incorporated announced a strategic partnership with Google to integrate Google Maps Platform’s advanced geospatial content-including photorealistic 3D tiles-into Bentley’s infrastructure engineering software and digital twin platform. This collaboration allows Bentley’s clients and developers to bring real-world geospatial context and immersive 3D experiences into their workflows.
In April 2024, Descartes Labs, a U.S.-based geospatial analytics company, acquired Geosite, a company specializing in geospatial intelligence and analytics. This acquisition aims to enhance Descartes Labs’ capabilities in geospatial intelligence by leveraging Geosite’s advanced platform, which provides actionable insights from satellite imagery and other geospatial data sources.

Market Concentration & Characteristics:

The U.S. geospatial analytics market exhibits moderate concentration, with a few key players holding substantial market shares, while a growing number of smaller firms cater to specialized sectors. Leading companies like Esri, Hexagon AB, Trimble Inc., and IBM dominate the market, providing comprehensive geospatial solutions such as GIS software, remote sensing tools, and data analytics platforms. These industry leaders leverage advanced technologies like AI, machine learning, and cloud-based systems to maintain their competitive advantage. Despite the dominance of major players, the market is characterized by innovation and fragmentation, with smaller companies focusing on niche applications in agriculture, urban planning, defense, and environmental monitoring. The increasing demand for tailored geospatial solutions is driving this fragmentation, as specialized firms develop customized tools for specific industry needs. Overall, the market is evolving toward greater diversification, offering varied solutions to meet the growing demand for geospatial data across sectors.

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 U.S. geospatial analytics market is expected to continue expanding due to increasing demand for location-based services and real-time data insights.
Cloud-based geospatial solutions will see widespread adoption as organizations prioritize flexibility and scalability.
AI and machine learning integration will enhance predictive analytics and decision-making across industries.
Growing urbanization will drive demand for geospatial analytics in smart city development and infrastructure planning.
The agricultural sector will increasingly adopt geospatial tools for precision farming and resource management.
Environmental monitoring and sustainability efforts will further stimulate the use of geospatial technologies for climate change tracking.
Government investments in infrastructure and defense will continue to propel the market’s growth.
The rise of autonomous vehicles and IoT technologies will create new opportunities for geospatial data applications.
Smaller companies and startups will innovate with niche geospatial solutions tailored to specific industries.
Advances in geospatial data accuracy and visualization will improve the quality of insights and decision-making.

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

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

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

5.2. U.S. 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 – U.S. 70

11.1. U.S. 70

11.1.1. Key Highlights 70

11.2. Component 71

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

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

11.5. Deployment Mode 72

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

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

11.7. Enterprise Size 73

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

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

11.9. Type 74

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

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

11.11. Industry Vertical 75

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

11.11.2. U.S. 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. MDA Corporation 78

12.10. Trimble, Inc. 78

12.11. Esri 78

12.12. Furgo NV 78

12.13. PlanetLabs 78

12.14. Ouster 78

12.15. Microsoft Corporation 78

12.16. Others 78

]

List of Figures

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

FIG NO. 2. Porter’s Five Forces Analysis for U.S. Geospatial Analytics Market 33

FIG NO. 3. Value Chain Analysis for U.S. 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. U.S. Geospatial Analytics Market for Software, Revenue (USD Million) 2018 – 2032 47

FIG NO. 13. U.S. 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. U.S. Geospatial Analytics Market for On-premise, Revenue (USD Million) 2018 – 2032 53

FIG NO. 19. U.S. 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. U.S. Geospatial Analytics Market for Surface and Field Analytics, Revenue (USD Million) 2018 – 2032 59

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

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

FIG NO. 27. U.S. 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. U.S. Geospatial Analytics Market for Mining and Manufacturing, Revenue (USD Million) 2018 – 2032 67

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

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

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

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

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

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

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

List of Tables

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

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

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

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

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

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

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

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

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

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

Frequently Asked Questions

What is the current size of the U.S. Geospatial Analytics Market?

The U.S. Geospatial Analytics Market was valued at USD 24,656.13 million in 2023 and is anticipated to reach USD 56,285.55 million by 2032, growing at a CAGR of 9.6% during the forecast period.

What factors are driving the growth of the U.S. Geospatial Analytics Market?

Key drivers include technological advancements in GIS, remote sensing, and real-time analytics, as well as the growing demand for urban planning, infrastructure development, and government initiatives in smart cities and environmental monitoring.

What are some challenges faced by the U.S. Geospatial Analytics Market?

Challenges include high initial costs, data privacy and security concerns, and a shortage of skilled professionals required to analyze and interpret complex geospatial data effectively.

Who are the major players in the U.S. Geospatial Analytics Market?

Major players in the market include Esri, Hexagon AB, Trimble Inc., IBM, and other key technology providers offering GIS software, satellite imagery, and data analytics solutions.

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