The Report Covers Geospatial Industry Analysis and is Segmented by Type (Surface Analysis, Network Analysis, Geo-Visualization), End-User Industry (Agriculture, Utility and Communication, Defense and Intelligence, Government, Natural Resources), and Geography. The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The geospatial analytics market size is predicted to rise from $93.49 billion in 2024 to $362.45 billion by 2035, growing at a CAGR of 13.1% from 2024 to 2035.

Geospatial Analytics Market is expected to grow at a CAGR of 12.8% during the forecast period 2024-2031 | DataM Intelligence

United States geospatial analytics market size reached USD 25.2 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 60.1 Billion by 2033, exhibiting a growth rate (CAGR) of 10% during 2025-2033. The growing need for facilitating data-driven decisions, along with the rising focus of government bodies on improving situational awareness and monitoring of troops and enemy movements, is primarily propelling the market growth across the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, type, technology, enterprise size, deployment mode, and vertical.

The United States Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Middle East Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defence and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction), by Country (United Arab Emirates, Turkey, Saudi Arabia). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Geospatial Analytics Market estimated size and share is projected to exceed USD 88.01 billion by 2034, with a forecasted CAGR of 10.9% during the period.

Geospatial Analytics Market size was valued at USD 69.96 Billion in 2023 and is projected to reach USD 141.9 Billion by 2030, growing at a CAGR of 12.6% during the forecast period 2024-2030.

Global Geospatial Analytics Market Drivers

The market drivers for the Geospatial Analytics Market can be influenced by various factors. These may include:

Increasing Location-Based Service (LBS) Adoption: The need for geospatial analytics is fueled by the expanding use of location-based services in a variety of sectors, such as retail, transportation, and healthcare. Location data is used by LBS applications to provide more individualized services and better decision-making.

Growth of IoT and Big Data Technologies: Extensive location-specific data is produced by the growth of big data and the Internet of Things (IoT). Organizations may examine and gain insightful knowledge from this spatial data thanks to geospatial analytics, which propels the market’s expansion.

Need for Up-to-Date Location Information: To ensure efficient operations, real-time location data is essential for industries including emergency services, transportation, and logistics. With the use of dynamic spatial data, geospatial analytics offers real-time tracking, monitoring, and decision-making capabilities.

Urbanization and Initiatives for Smart Cities: Global smart city initiatives and urbanization trends are driving demand for geospatial analytics solutions. Through the analysis of spatial data, these technologies facilitate public service optimization, infrastructure management, and city planning.

Connectivity with Analytics and Business Intelligence (BI) Platforms: Organizations can improve their overall analytical capabilities by integrating geospatial analytics with business intelligence and analytics technologies. Businesses can now obtain geographical insights in addition to standard data analytics thanks to this connection.

The India Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), End User Vertical (Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

According to Cognitive Market Research, the global geospatial analytics artificial intelligence market size is USD 100.5 million in 2024 and will expand at a compound annual growth rate (CAGR) of 28.60% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 40.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 26.8% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 30.15 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 23.12 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.6% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 5.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.0% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 2.01 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.3% from 2024 to 2031.
The remote sensing held the highest geospatial analytics artificial intelligence market revenue share in 2024.

Market Dynamics of Geospatial analytics artificial intelligence Market

Key Drivers for Geospatial analytics artificial intelligence Market

Advancements in AI and Machine Learning to Increase the Demand Globally

The global demand for geospatial analytics is significantly driven by advancements in AI and machine learning, technologies that are revolutionizing how spatial data is analyzed and interpreted. As AI models become more sophisticated, they enhance the capability to automate complex geospatial data processing tasks, leading to more accurate and insightful analyses. Machine learning, particularly, enables systems to improve their accuracy over time by learning from vast datasets of geospatial information, including satellite imagery and sensor data. This leads to more precise predictions and better decision-making across multiple sectors such as environmental management, urban planning, and disaster response. The integration of AI with geospatial technologies not only improves efficiency but also opens up new possibilities for innovation, making it a critical driver for increased global demand in the geospatial analytics market.

Government Initiatives and Support for Smart Cities to Propel Market Growth

Government initiatives supporting the development of smart cities are propelling the growth of the geospatial analytics market. As urban areas around the world transform into smart cities, there is a significant increase in demand for advanced technologies that can analyze and interpret geospatial data to enhance urban planning, infrastructure management, and public safety. Geospatial analytics, powered by AI, plays a crucial role in these projects by enabling real-time data processing and insights for traffic control, utility management, and emergency services coordination. These technologies ensure more efficient resource allocation and improved quality of urban life. Government funding and policy support not only validate the importance of geospatial analytics but also stimulate innovation, attract investments, and foster public-private partnerships, thus driving the market forward and enhancing the capabilities of smart city initiatives globally.

Restraint Factor for the Geospatial analytics artificial intelligence Market

Complexity of Data Integration to Limit the Sales

The complexity of data integration poses a significant barrier to the adoption and effectiveness of geospatial analytics AI systems, potentially limiting sales in this market. Geospatial data, inherently diverse and sourced from various collection methods like satellites, UAVs, and ground sensors, comes in multiple formats and resolutions. Integrating such disparate data into a cohesive, usable format for AI analysis is a challenging process that requires advanced data processing tools and expertise. This complexity not only increases the time and costs associated with project implementation but also raises the risk of errors and inefficiencies in data analysis. Furthermore, the difficulty in achieving seamless integration can deter organizations, particularly those with limited IT capabilities, from investing in geospatial analytics solutions. Overcoming these integration challenges is crucial for enabl...

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Geospatial Analytics Market Size 2024-2028

The geospatial analytics market size is forecast to increase by USD 127.2 billion at a CAGR of 18.68% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of geospatial data analytics in sectors such as healthcare and insurance. This trend is driven by the abundance of data being generated through emerging methods like remote sensing, IoT, and drones. However, data privacy and security concerns remain a challenge, as geospatial data can reveal sensitive information.
Organizations must implement robust security measures to protect this valuable information. In the US and North America, the market is expected to grow steadily, driven by the region's advanced technological infrastructure and increasing focus on data-driven decision-making. Companies in this space should stay abreast of emerging trends and address concerns related to data security to remain competitive.

What will be the Size of the Geospatial Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for location intelligence in various industries, particularly Medium Scale Enterprises (MSEs). This market is driven by the integration of Artificial Intelligence (AI) and machine learning (ML), enabling advanced data analysis and prediction capabilities. The Internet of Things (IoT) is also fueling market growth, as real-time location data is collected and analyzed for various applications, including disaster risk reduction. Hexagon and Luciad are among the key players in this market, offering advanced geospatial analytics solutions. Big data analysis, digital globe imagery, and Pitney Bowes' location intelligence offerings are also contributing to market expansion.
The integration of AI, ML, and 5G technology is expected to further accelerate growth, with applications ranging from supply chain optimization to web-based GIS platforms built using JavaScript and HTML5.

How is this Geospatial Analytics Industry segmented and which is the largest segment?

The geospatial analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2017-2022 for the following segments.

Technology

  GPS
  GIS
  Remote sensing
  Others


End-user

  BFSI
  Government and utilities
  Telecom
  Manufacturing and automotive
  Others


Component

  Software
  Service


Type

  Surface & Field Analytics
  Network & Location Analytics
  Geovisualization
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Technology Insights

The GPS segment is estimated to witness significant growth during the forecast period. The market is driven by various sectors including Defense & Internal Security, Retail & Logistics, Energy & Utilities, Agriculture, Healthcare & Life Sciences, Infrastructure, and GIS. Among these, GPS, a satellite-based radio navigation system, was the largest segment in 2023. Operated by the US Space Force, GPS enables geolocation and time information transmission to receivers, facilitating georeferencing, positioning, navigation, and time and frequency control. This technology is widely used in industries such as logistics, transportation, and surveying, making it a significant contributor to the market's growth. The Energy & Utilities sector also leverages geospatial analytics for infrastructure planning, asset management, and maintenance, further fueling market expansion.

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The GPS segment was valued at USD 29.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 36% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American region dominates the market due to the region's early adoption of advanced technologies and the maturity of industries, particularly in healthcare and the industrial sector. The healthcare industry's need for high-level analytics, driven by the COVID-19 pandemic, is a significant factor fueling market growth. In the industrial sector, the abundance of successful technology implementations leads to a faster rate of adoption. Geospatial analytics plays a crucial role in various applications. These applications provide valuable insights for businesses and governments, enabling informed decision-making and improving operational efficien

Geospatial Solutions Market size was valued at USD 282.75 Billion in 2024 and is projected to reach USD 650.14 Billion by 2031, growing at a CAGR of 12.10% during the forecast period 2024-2031.

Geospatial Solutions Market: Definition/ Overview

Geospatial solutions are applications and technologies that use spatial data to address geography, location, and Earth’s surface problems. They use tools like GIS, remote sensing, GPS, satellite imagery analysis, and spatial modelling. These solutions enable informed decision-making, resource allocation optimization, asset management, environmental monitoring, infrastructure planning, and addressing challenges in sectors like urban planning, agriculture, transportation, disaster management, and natural resource management. They empower users to harness spatial information for better understanding and decision-making in various contexts.

Geospatial solutions are technologies and methodologies used to analyze and visualize spatial data, ranging from urban planning to agriculture. They use GIS, remote sensing, and GNSS to gather, process, and interpret data. These solutions help users make informed decisions, solve complex problems, optimize resource allocation, and enhance situational awareness. They are crucial in addressing challenges and unlocking opportunities in today’s interconnected world, such as mapping land use patterns, monitoring ecosystem changes, and real-time asset tracking.

Explore the Geospatial Analytics Market trends! Covers key players, growth rate 19% CAGR, market size $209.26 Billion, and forecasts to 2034. Get insights now!

The United Kingdom Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defence and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Market Overview:

The Vietnam geospatial analytics market size is projected to exhibit a growth rate (CAGR) of 8.90% during 2024-2032. The increasing product utilization by government authorities in various sectors, various technological advancements in satellite technology, remote sensing, and data collection methods, and the rising development of smart cities represent some of the key factors driving the market.

Geospatial analytics is a field of data analysis that focuses on the interpretation and analysis of geographic and spatial data to gain valuable insights and make informed decisions. It combines geographical information systems (GIS), advanced data analysis techniques, and visualization tools to analyze and interpret data with a spatial or geographic component. It also enables the collection, storage, analysis, and visualization of geospatial data. It provides tools and software for managing and manipulating spatial data, allowing users to create maps, perform spatial queries, and conduct spatial analysis. In addition, geospatial analytics often involves integrating geospatial data with other types of data, such as demographic data, environmental data, or economic data. This integration helps in gaining a more comprehensive understanding of complex phenomena. Moreover, geospatial analytics has a wide range of applications. For example, it can be used in urban planning to optimize transportation routes, in agriculture to manage crop yield and soil quality, in disaster management to assess and respond to natural disasters, in wildlife conservation to track animal migrations, and in business for location-based marketing and site selection.

Vietnam Geospatial Analytics Market Trends:

The Vietnamese government has recognized the importance of geospatial analytics in various sectors, including urban planning, agriculture, disaster management, and environmental monitoring. Initiatives to develop and utilize geospatial data for public projects and policy-making have spurred demand for geospatial analytics solutions. In addition, Vietnam is experiencing rapid urbanization and infrastructure development. Geospatial analytics is critical for effective urban planning, transportation management, and infrastructure optimization. This trend is driving the adoption of geospatial solutions in cities and regions across the country. Besides, Vietnam's agriculture sector is a significant driver of its economy. Geospatial analytics helps farmers and agricultural businesses optimize crop management, soil health, and resource allocation. Consequently, precision farming techniques, enabled by geospatial data, are becoming increasingly popular, which is also propelling the market. Moreover, the development of smart cities in Vietnam relies on geospatial analytics for various applications, such as traffic management, public safety, and energy efficiency. Geospatial data is central to building the infrastructure needed for smart city initiatives. Furthermore, advances in satellite technology, remote sensing, and data collection methods have made geospatial data more accessible and affordable. This has lowered barriers to entry and encouraged the use of geospatial analytics in various sectors. Additionally, the telecommunications sector in Vietnam is expanding, and location-based services, such as navigation and advertising, rely on geospatial analytics. This creates opportunities for geospatial data providers and analytics solutions in the telecommunications industry.

Vietnam Geospatial Analytics Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on component, type, technology, enterprise size, deployment mode, and vertical.

Component Insights:

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• Solution
• Services
  

The report has provided a detailed breakup and analysis of the market based on the component. This includes solution and services.

Type Insights:

• Surface and Field Analytics
• Network and Location Analytics
• Geovisualization
• Others
  

A detailed breakup and analysis of the market based on the type have also been provided in the report. This includes surface and field analytics, network and location analytics, geovisualization, and others.

Technology Insights:

• Remote Sensing
• GIS
• GPS
• Others
  

The report has provided a detailed breakup and analysis of the market based on the technology. This includes remote sensing, GIS, GPS, and others.

Enterprise Size Insights:

• Large Enterprises
• Small and Medium-sized Enterprises
  

A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes large enterprises and small and medium-sized enterprises.

Deployment Mode Insights:

• On-premises
• Cloud-based
  

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based.

Vertical Insights:

• Automotive
• Energy and Utilities
• Government
• Defense and Intelligence
• Smart Cities
• Insurance
• Natural Resources
• Others
  

A detailed breakup and analysis of the market based on the vertical have also been provided in the report. This includes automotive, energy and utilities, government, defense and intelligence, smart cities, insurance, natural resources, and others.

Regional Insights:

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• Northern Vietnam
• Central Vietnam
• Southern Vietnam
  

The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Vietnam Geospatial Analytics Market Report Coverage:

The global geospatial analytics market is predicted to expand significantly, with a projected CAGR of 11.28% from 2025 to 2033. Valued at 89.23 billion USD in 2025, the market is expected to reach new heights during the forecast period. Key drivers fueling this growth include increasing adoption of GIS (Geographic Information Systems) and GPS (Global Positioning Systems), rising demand for location-based services, and growing awareness of the benefits of geospatial data in decision-making. Additionally, advancements in cloud computing, artificial intelligence, and machine learning further contribute to the market's expansion. Key segments in the geospatial analytics market include services, types, technologies, and regions. Consulting, integration and deployment, support and maintenance are prominent services offered in the market. Surface and field analytics, network and location analytics, geovisualization, and other types are also significant segments. Remote sensing GIS GPS, other technologies, and their applications across various regions, including North America, Europe, Asia Pacific, Middle East & Africa, and South America, shape the market dynamics. Recent developments include: Sept 2022 Sanborn Map Company Inc., a provider of geospatial solutions for government and commercial clients, has acquired Applied Geographics, Inc., which helped numerous organisations in finding the most effective GIS, location intelligence, and geospatial solutions., January 2022 With the help of integrated and improved data, ideal site analysis and path planning, and customized customer experiences, Blueprint Technologies and Precisely have announced a partnership to help businesses gain a competitive edge., Geospatial analytics is being used by telecom companies like T-Mobile to optimise coverage and quality of service while planning deployments. While organising service deployments and coverage, telecommunications providers must consider a wide range of criteria. They must take into account the varying usage patterns, service demands, and the dynamic nature of the areas they serve., According to industry analysts, the abundance of geospatial data accessible is outpacing people's capacity to comprehend it as government and business deploy more satellites, drones, and sensors than ever before. Artificial intelligence, according to Mark Munsell, Deputy Director for Data and Digital Innovation at the National Geospatial-Intelligence Agency., Geospatial intelligence experts Orbital Insight and Carahsoft Technologies Corp. have joined forces. Carahsoft will act as Orbital Insight's Master Government Aggregator in accordance with the agreement. Through Carahsoft's reseller partners, Information Technology Enterprise Solutions - Software 2 (ITES-SW2), NASA Solutions for Enterprise-Wide Procurement (SEWP) V, National Association of State Procurement Officials (NASPO), ValuePoint, National Cooperative Purchasing Alliance (NCPA), and OMNIA Partners contracts, the company's AI-powered geospatial data analytics are now accessible to the public sector.. Potential restraints include: High Initial Investment Cost.

Germany's Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization, by End User Vertical (Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Spanish geospatial analytics market is estimated to be valued at $0.48 million in 2025, and is projected to grow at a CAGR of 9.03% from 2025 to 2033. The growth of the market is primarily driven by the increasing adoption of geospatial solutions for decision-making processes across various industries and government organizations. The growing need for accurate and timely information for effective planning, operations, and resource management is further fueling the demand for advanced geospatial analysis capabilities. Key trends in the Spanish geospatial analytics market include the integration of artificial intelligence (AI) and machine learning (ML) for advanced data analysis, the adoption of cloud-based geospatial platforms for seamless data sharing and access, and the proliferation of open data initiatives. The increasing availability of high-quality data from sources like satellite imagery, aerial surveys, and IoT sensors is providing opportunities for developing more comprehensive and data-driven insights. However, data privacy concerns and the need for skilled professionals with expertise in geospatial technologies represent notable restraints in the market. Recent developments include: November 2023 - Hexagon’s Manufacturing Intelligence branch unveiled Nexus Connected Worker, a collection of manufacturing software solutions that links employees to up-to-the-minute data for informed insights and reporting on operations, maintenance, quality, and audits. The suite offers strong integration with enterprise systems and serves as a hub for digital depictions of assets, processes, and production sites to aid in real-time decision-making.. Key drivers for this market are: Increase in Adoption of Smart City Development and Urban Planning, Introduction of 5G to Boost Market Growth. Potential restraints include: High Costs and Operational Concerns Associated with Geospatial Analytics. Notable trends are: Increase in Adoption of Smart City Development and Urban Planning.

The global geospatial analytics market is anticipated to increase from USD 89.24 billion in 2024 to USD 490.14 billion by 2037, exhibiting a CAGR of around 14% during the forecast period, between 2025 and 2037. Key industry players include Google LLC, Foursquare, Trimble Inc., Alteryx, among others.

The size of the Brazil Geospatial Analytics market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 7.33% during the forecast period.Geospatial analytics is the solution of complex problems and making well-informed decisions by leveraging geographic information and data analysis. This involves collecting, processing, analyzing, and visualizing spatial data to understand patterns, trends, and relationships in various domains. The factors that drive the market for geospatial analytics in Brazil include the increasing government investment in infrastructure development, the demand for precision agriculture, and the adoption of smart city initiatives. Key applications include urban planning, disaster management, environmental monitoring, precision agriculture, and logistics and transportation. Recent developments include: June 2023: Researchers from Brazil's National Space Research Institute (INPE) combined hydrodynamic models with models that forecast urban growth and changes in land use to develop a methodology that can identify flood-prone areas of cities, particularly those that are vulnerable to the effects of very heavy rainfall. The organization employed deep learning with extremely high-resolution spatial imagery., June 2023: PXGEO, a leading marine geophysical company, made an exciting announcement regarding its recent contract with Petrobras. The renowned Brazilian energy corporation has commissioned PXGEO to conduct a cutting-edge 3D ocean bottom node (OBN) study in the Campos Basin, Brazil. This project marks a significant step forward in the exploration and understanding of the region's offshore resources. According to PXGEO, the comprehensive survey is set to take place over an extensive period of ten months, delving deep into the ocean at an impressive depth of 2,300 meters.. Key drivers for this market are: Company Initiatives Coupled with Government Support to Drive the Market Growth, Increasing Demand for Location-Based Services. Potential restraints include: Challenges Related to Data Quality, Consistency, and Accessibility, Limited Awareness and Adoption. Notable trends are: Company Initiatives Coupled with Government Support to Drive the Market Growth.