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.

According to Cognitive Market Research, the global Geospatial Solutions market size is USD 508421.2million in 2024 and will expand at a compound annual growth rate (CAGR) of 16.50% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 203368.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.7% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 152526.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 116936.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.5% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 25421.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.9% 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 10168.42 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.2% from 2024 to 2031.
The hospitals held the highest Geospatial Solutions market revenue share in 2024.

Key Driver of the Geospatial Solutions Market

Growing Demand for Location-based Data and Insights to Increase the Demand Globally

Businesses and organizations prioritize making well-informed decisions, driving demand for location-based data and insights. Having accurate and comprehensive information about people, places, and things is becoming increasingly important. Geospatial solutions play a crucial role in gathering, evaluating, and presenting this data, which drives market growth. These technologies help with resource allocation, market targeting, and strategy planning by providing advanced tools for interpreting spatial data. Businesses use geospatial data to improve customer experiences, optimize operations, and gain competitive advantages due to the development of GPS, remote sensing, and GIS. Because of this, the geospatial industry is expanding rapidly and satisfying the changing demands of various industries looking for useful location-based insights.

Advancements in Technology to Propel Market Growth

The geospatial industry is expanding significantly due to technological advancements, including aerial images, remote sensing, GNSS (Global Navigation Satellite Systems), and LiDAR (Light Detection and Ranging). These developments provide ever-more accurate, affordable, and easily accessible ways to collect geospatial data. While GNSS offers precise global location data, remote sensing technologies allow data collection from inaccessible or remote areas. LiDAR and aerial images improve data resolution and detail, allowing for more complex analysis and visualization. The geospatial market is growing due to the ongoing development of these technologies, which enables businesses and organizations in various industries to make wise decisions, maximize operations, and seize new possibilities.

Restraints factor of the Geospatial Solutions Market

Data Privacy and Security Concerns to Limit the Sales

The widespread use of geographical data gives rise to serious privacy and security problems. The increasing accessibility and utilization of location-based data across many businesses underscores the need for strong data governance frameworks to preserve individuals' privacy and prevent potential compromises of sensitive data. Furthermore, upholding moral principles and legal compliance depends on gaining users' trust via open data policies and permission procedures. Companies may promote the responsible and ethical use of location-based information by addressing these concerns and fostering better stakeholder confidence. Additionally, companies should limit risks connected with gathering, sharing, and utilizing geospatial data.

Impact of COVID-19 on the Geospatial Solutions Market

The geospatial solutions market has experienced varying effects from the COVID-19 epidemic. Due to supply chain disruptions and economic uncertainty, several industries faced a brief pause. Still, others saw faster development as a result of the pressing need for location-based data to solve pandemic-related issues. Geospatial technologies are increasingly used in industries, including healthcare, logistics, and urban planning, to track the virus's spread, allocate resourc...

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.

The Geographic Information System (GIS) market is experiencing robust growth, projected to reach $5.15 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 20.55% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing urbanization and the need for efficient urban planning are creating significant demand for GIS solutions. Furthermore, advancements in technology, particularly in cloud computing and artificial intelligence (AI), are enhancing GIS capabilities, leading to wider adoption across various sectors. The integration of GIS with other technologies like IoT (Internet of Things) and big data analytics is enabling more sophisticated spatial analysis and decision-making. Industries like transportation, utilities, and agriculture are leveraging GIS for improved asset management, infrastructure planning, and precision farming. The market is segmented by component (software, data, services) and deployment (on-premise, cloud), with the cloud-based deployment model experiencing faster growth due to its scalability and cost-effectiveness. The competitive landscape is characterized by a mix of established players like Esri, Autodesk, and Trimble, and emerging technology providers, creating a dynamic market with significant innovation. However, factors like high initial investment costs and the need for skilled professionals to implement and manage GIS systems pose challenges to market growth. Despite these restraints, the long-term outlook for the GIS market remains positive. The increasing availability of geospatial data, coupled with declining hardware costs and improvements in user interfaces, is making GIS technology more accessible to a wider range of users. The integration of GIS into mobile applications and the rise of location-based services further broaden the market's potential. Government initiatives promoting smart cities and digital infrastructure development are also contributing to market growth. The North American region, particularly the United States, currently holds a significant market share due to early adoption and a robust technology ecosystem. However, other regions, especially in Asia-Pacific and Europe, are experiencing rapid growth, driven by increasing infrastructure investments and the adoption of advanced technologies. Future growth will be influenced by continued technological innovation, the availability of skilled workforce, and government regulations related to geospatial data management.

Abstract : The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that many environmental phenomena require field and object conceptualisations to provide a comprehensive GIS representation, there is still a need for better integration of these dual representations of space within a formal spatio-temporal database. The research presented in this paper introduces a hybrid and formal dual data model for the representation of spatio-temporal data. The whole approach has been fully implemented in PostgreSQL and its spatial extension PostGIS, where the SQL language is extended by a series of data type constructions and manipulation functions to support hybrid queries. The potential of the approach is illustrated by an application to underwater geomorphological dynamics oriented towards the monitoring of the evolution of seabed changes. A series of performance and scalability experiments are also reported to demonstrate the computational performance of the model.Data Description : The data set used in our research is a set of bathymetric surveys recorded over three years from 2009 to 2011 as Digital Terrain Models (DTM) with 2m grid spacing. The first survey was carried out in February 2009 by the French hydrographic office, the second one was recorded on August-September 2010 and the third in July 2011, both by the “Institut Universitaire Européen de la Mer”.

The establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making. BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions. Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself. For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise. Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery. See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt

The geospatial market is estimated to reach a value of USD 105.06 billion by 2033, growing at a CAGR of 9.1% during the forecast period of 2025-2033. This growth is attributed to the rising demand for geospatial data and services across various end-user industries, such as real estate and construction, automotive, utility and communication, government, defense and intelligence, and natural resources. Key drivers of the market include the increasing adoption of location-based services, the growing use of geospatial data for decision-making, and the rapid advancements in geospatial technologies. The market is segmented by type (surface analytics, network analytics, geovisualization, and others), technology (remote sensing, GPS, GIS, and others), and end-user (real estate and construction, automotive, utility and communication, government, defense and intelligence, natural resources, and others). North America is the largest regional market, followed by Europe, Asia Pacific, and the Middle East and Africa. Key companies in the geospatial market include Hexagon AB, Trimble Inc., Maxar Technologies, MDA Corporation, Fugro, Cyient, Esri, Bentley Systems, Incorporated, NV5 Global Inc., General Electric Company, Accenture, and RMSI. Recent developments include: In February 2023, U.S. Army has extended its contract with Maxar Technologies to provide 3D geospatial data used to create immersive digital environments. Maxar was awarded Phase 3b of the U.S. Army’s One World Terrain (OWT) contract originally awarded in 2019 to Vricon, a company Maxar acquired in 2020. Vricon uses data from Maxar’s imaging satellites to make 3D mapping products. In September 2023, Trimble and Kyivstar Partner to Provide GNSS Correction Services for Agriculture, Construction and Geospatial Applications in Ukraine. It will install a new Continuously Operating Reference Station (CORS) network to provide Global Navigation Satellite System (GNSS) correction services across the country. Available to users as an annual subscription service, the new network will be built using Trimble's hardware and software positioning technology, which provides customers with easy and reliable high-accuracy real time or post-processed GNSS corrections data for agriculture, construction, geospatial, Internet of Things (IoT) and other commercial operations. . Key drivers for this market are: Growing demand for accurate and actionable geospatial data

Advancements in cloud computing and AI technologies

Increasing adoption of location-based services and IoT devices

Need for sustainable resource management and environmental monitoring

Government initiatives and investments in geospatial infrastructure. Potential restraints include: Data privacy and security concerns

Lack of skilled workforce and technical expertise

High cost of implementing and maintaining geospatial solutions

Interoperability issues between different geospatial platforms

Limited awareness of the benefits of geospatial technologies. Notable trends are: The integration of AI and IOT fuels Integration of blockchain technology for data security and transparency

Development of open-source geospatial platforms and applications

Use of AI and machine learning for predictive analytics and automation

Focus on interconnected and interoperable geospatial ecosystems

Growing adoption of geospatial solutions in emerging marketsmarket expansion is expected to drive market growth..

The geospatial services market is experiencing robust growth, driven by increasing demand for location intelligence across diverse sectors. Our analysis projects a market size of $150 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. The agricultural sector leverages geospatial data for precision farming, optimizing resource allocation and maximizing yields. Similarly, research institutions and government bodies increasingly utilize geospatial analytics for environmental monitoring, urban planning, and disaster response. The integration of advanced technologies like AI and machine learning further enhances the capabilities of geospatial services, leading to more accurate and insightful analyses. Furthermore, the rising adoption of cloud-based platforms is simplifying data access and processing, making geospatial technologies more accessible to a wider range of users. Market segmentation reveals significant opportunities within specific application areas. Data collection services, encompassing remote sensing and GPS technologies, constitute a substantial segment, while data analysis services, leveraging sophisticated algorithms and modelling techniques, are experiencing rapid growth. Geographically, North America and Europe currently hold the largest market shares, although the Asia-Pacific region is projected to witness the fastest growth due to increasing infrastructure development and technological advancements. However, challenges remain, including data security concerns, the need for skilled professionals, and the high initial investment costs associated with implementing sophisticated geospatial systems. Despite these constraints, the overall market trajectory indicates a promising future for geospatial services, with continued growth driven by technological innovation and the ever-increasing reliance on location-based information across various industries.

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:

Physical Points in the Geographic Names Information System (GNIS)This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays physical points from the Geographic Names Information System (GNIS). Per USGS, “the Geographic Names Information System (GNIS) is the federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.”Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (geonames) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Geographic Names Information System (GNIS) - USGS National Map Downloadable Data CollectionGeoplatform: Geographic Names Information System (GNIS) - USGS National Map Downloadable Data CollectionFor more information, please visit: U.S. Board on Geographic NamesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Cultural Resources Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cultural Resources are defined as "features and characteristics of a collection of places of significance in history, architecture, engineering, or society. Includes National Monuments and Icons."For other NGDA Content: Esri Federal Datasets

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...

For decades, TNC’s conservation science and planning has been informed by geospatial technology. This dynamic field combines the disciplines of Geographic Information Systems (GIS), remote sensing and machine learning. At least one in every three TNC staff generates and uses maps to complete tasks such as monitoring preserves in the field and, increasingly through remote technologies, negotiate land and water transactions or illustrate the benefits of ecosystems and the costs of losing them. Together, the TNC Geospatial Systems team and the Geospatial Leadership Council have joined forces to bring you this annual report & map book that features:25 use cases or applications illustrating how geospatial technology is supporting and advancing our conservation work around the worldA global map series from our Global Science and Protect Oceans, Lands and Water teams showing crisis and last chance ecosystems under high development pressure14 feature maps depicting specific conservation projectsResults from our annual survey that reached over 1,500 staff“As we seek to tackle the biggest challenges facing our planet, it is crucial to ensure that our teams and partners are able to leverage the most accurate and rigorous mapping data—and that geospatial professionals conducting this science reflect the diversity of the places we work,” says Jennifer Morris, CEO of The Nature ConservancyFor the first time we have categorized three mapping types that convey all our conservation science and planning work into predictive modeling, prioritization with two aspects (asset & threat mapping and spatial action mapping), and monitoring & evaluation. This edition emphasizes spatial action mapping, or the mapping of strategies in priority places that inform decisions on when, where and what may be the best conservation actions to take.Fundamental to TNC’s mission is a focus on place. Maps are core to our mission in helping us understand the places we work and in engaging audiences through the stories they reveal. In this edition we have initiated the process of creating cartographic guidelines that encourage a cohesive look and feel within TNC while promoting our “conservation mapping brand.”

The Geographic Management Information System (GeoMIS) is a FISMA Moderate minor application built using ArcGIS Server and portal, Microsoft SQL, and a web-facing front-end. The system can be accessed over the internet via https://www.usaidgiswbg.com using a web browser. GeoMIS is based on a commercial off-the-shelf product developed by Esri. Esri is creates geographic information system (GIS) software, web GIS and geodatabase management applications and is based in California. GeoMISIt is maintained by an Israeli company, Systematics (see Attachment 3) which is EsriI's agent in Israel. The mission has an annual maintenance contract with Systematics for GeoMIS. GeoMIS has 100 users from USAID staff (USA Direct Hire and Foreign Service Nationals) and 200 users from USAID contractors and grantees. The system is installed at USAID WBG office in Tel Aviv/Israel inside the computer room in the DMZ. It has no interconnections with any other system.

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.

The global geospatial solutions market is likely to rise from USD 498.13 billion in 2024 to USD 2.74 trillion by 2037, exhibiting a CAGR of around 14% during the forecast timeline, between 2025 and 2037. Key industry players include Telenav Inc., HERE Global B.V, Hexagon AB, Esri , among others.

USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed March, 2025

GIS Market is Segmented by Component (Hardware and Software), by Function (Mapping, Surveying, Telematics and Navigation, Location-Based Services), by End User (Agriculture, Utilities, and Mining, Among Others), and by Geography (North America, Europe, Asia Pacific, and Rest of the World). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

The Asia-Pacific GIS Market Report is Segmented by Country (Australia, Singapore, Indonesia, Malaysia, Bangladesh, and the Rest of Asia Pacific). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Various Geospatial Data and Geographic Information Systems (GIS) presentations, workshops and tutorials. For the live versions of these files and material, please see uoft.me/GIS

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GIS In Telecom Sector Market Size 2024-2028

The GIS in telecom sector market size is forecast to increase by USD 1.91 billion at a CAGR of 14.68% between 2023 and 2028.

Geographic Information Systems (GIS) have gained significant traction In the telecom sector due to the increasing adoption of advanced technologies such as big data, sensors, drones, and LiDAR. The use of GIS enables telecom companies to effectively manage and analyze large volumes of digital data, including satellite and GPS information, to optimize infrastructure monitoring and antenna placement. In the context of smart cities, GIS plays a crucial role in enabling efficient communication between developers and end-users by providing real-time data on construction progress and infrastructure status. Moreover, the integration of LiDAR technology with drones offers enhanced capabilities for surveying and mapping telecom infrastructure, leading to improved accuracy and efficiency.
However, the implementation of GIS In the telecom sector also presents challenges, including data security concerns and the need for servers and computers to handle the large volumes of data generated by these technologies. In summary, the telecom sector's growing reliance on digital technologies such as GIS, big data, sensors, drones, and LiDAR is driving market growth, while the need for effective data management and security solutions presents challenges that must be addressed.

What will be the Size of the GIS In Telecom Sector Market During the Forecast Period?

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The Geographic Information System (GIS) market In the telecom sector is experiencing significant growth due to the increasing demand for electronic information and visual representation of data in various industries. This market encompasses a range of hardware and software solutions, including GNSS/GPS antennas, Lidar, GIS collectors, total stations, imaging sensors, and more. Major industries such as agriculture, oil & gas, architecture, and infrastructure monitoring are leveraging GIS technology for data analysis and decision-making. The adoption rate of GIS In the telecom sector is driven by the need for efficient data management and analysis, as well as the integration of real-time data from various sources.
Data formats and sources vary widely, from satellite and aerial imagery to ground-based sensors and IoT devices. The market is also witnessing innovation from startups and established players, leading to advancements in data processing capabilities and integration with other technologies like 5G networks and AI. Applications of GIS In the telecom sector include smart urban planning, smart utilities, and smart public works, among others.

How is this GIS In Telecom Sector Industry segmented and which is the largest segment?

The GIS in telecom sector 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 2018-2022 for the following segments.

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Geography

  APAC

    China


  North America

    Canada
    US


  Europe

    UK
    Italy


  South America



  Middle East and Africa

By Product Insights

The software segment is estimated to witness significant growth during the forecast period. The telecom sector's Global GIS market encompasses software solutions for desktops, mobiles, cloud, and servers, along with developers' platforms. companies provide industry-specific GIS software, expanding the growth potential of this segment. Telecom companies heavily utilize intelligent maps generated by GIS for informed decisions on capacity planning and enhancements, such as improved service and next-generation networks. This drives significant growth In the software segment. Commercial entities offer open-source GIS software to counteract the threat of counterfeit products.
GIS technologies are integral to telecom network management, spatial data analysis, infrastructure planning, location-based services, network coverage mapping, data visualization, asset management, real-time network monitoring, design, wireless network mapping, integration, maintenance, optimization, and geospatial intelligence. Key applications include 5G network planning, network visualization, outage management, geolocation, mobile network optimization, and smart infrastructure planning. The GIS industry caters to major industries, including agriculture, oil & gas, architecture, engineering, construction, mining, utilities, retail, healthcare, government, and smart city planning. GIS solutions facilitate real-time data management, spatial information, and non-spatial information, offering enterprise solutions and transportation applications.

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