Snapshot img

The GIS market share in EMEA is expected to increase to USD 2.01 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 8.23%.

This EMEA GIS market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers GIS market in EMEA segmentation by:

Component - Software, data, and services
End-user - Government, utilities, military, telecommunication, and others

What will the GIS Market Size in EMEA be During the Forecast Period?

Download the Free Report Sample to Unlock the GIS Market Size in EMEA for the Forecast Period and Other Important Statistics

The EMEA GIS market report also offers information on several market vendors, including arxiT SA, Autodesk Inc., Bentley Systems Inc., Cimtex International, CNIM SA, Computer Aided Development Corp. Ltd., Environmental Systems Research Institute Inc., Fugro NV, General Electric Co., HERE Global BV, Hexagon AB, Hi-Target, Mapbox Inc., Maxar Technologies Inc., Pitney Bowes Inc., PSI Services LLC, Rolta India Ltd., SNC Lavalin Group Inc., SuperMap Software Co. Ltd., Takor Group Ltd., and Trimble Inc. among others.

GIS Market in EMEA: Key Drivers, Trends, and Challenges

The integration of BIM and GIS is notably driving the GIS market growth in EMEA, although factors such as data viability and risk of intrusion may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GIS industry in EMEA. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key GIS Market Driver in EMEA

One of the key factors driving the geographic information system (GIS) market growth in EMEA is the integration of BIM and GIS. A GIS adds value to BIM by visualizing and analyzing the data with regard to the buildings and surrounding features, such as environmental and demographic information. BIM data and workflows include information regarding sensors and the placement of devices in IoT-connected networks. For instance, Dubai's Civil Defense Department has integrated GIS data with its automatic fire surveillance system. This information is provided in a matter of seconds on the building monitoring systems of the Civil Defense Department. Furthermore, location-based services offered by GIS providers help generate huge volumes of data from stationary and moving devices and enable users to perform real-time spatial analytics and derive useful geographic insights from it. Owing to the advantages associated with the integration of BIM with GIS solutions, the demand for GIS solutions is expected to increase during the forecast period.

Key GIS Market Challenge in EMEA

One of the key challenges to the is the GIS market growth in EMEA is the data viability and risk of intrusion. Hackers can hack into these systems with malicious intentions and manipulate the data, which could have destructive or negative repercussions. Such hacking of data could cause nationwide chaos. For instance, if a hacker manipulated the traffic management database, massive traffic jams and accidents could result. If a hacker obtained access to the database of a national disaster management organization and manipulated the data to create a false disaster situation, it could lead to a panic situation. Therefore, the security infrastructure accompanying the implementation of GIS software solutions must be robust. Such security threats may impede market growth in the coming years.

Key GIS Market Trend in EMEA

Integration of augmented reality (AR) and GIS is one of the key geographic information system market trends in EMEA that is expected to impact the industry positively in the forecast period. AR apps could provide GIS content to professional end-users and aid them in making decisions on-site, using advanced and reliable information available on their mobile devices and smartphones. For instance, when the user simply points the camera of the phone at the ground, the application will be able to show the user the location and orientation of water pipes and electric cables that are concealed underground. Organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) are seeking investments and are open to sponsors for an upcoming AR pilot project, which seeks to advance the standards of AR technology at both respective organizations. Such factors will further support the market growth in the coming years.

This GIS market in EMEA analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-202

The global Geographic Information System (GIS) market was valued at USD 10.76 billion in 2025 and is projected to grow at a CAGR of 8.7% from 2025 to 2033. The increasing adoption of GIS in various industries, such as utilities, construction, and transportation, is driving the market growth. Additionally, the rising demand for accurate and timely geospatial information for decision-making is further fueling the market expansion. Key market trends include the increasing popularity of cloud-based GIS solutions, the integration of GIS with other technologies such as IoT and AI, and the growing adoption of GIS in developing countries. The hardware segment is expected to hold the largest market share, followed by the software and services segments. North America is the largest regional market for GIS, followed by Europe and Asia Pacific. The increasing adoption of GIS in smart city projects and the need for improved infrastructure management are expected to drive growth in the GIS market in these regions. Major players in the market include Autodesk Inc., Bentley Systems, CARTO, Environmental Systems Research Institute, Inc., Hexagon AB, Pitney Bowes Inc., SuperMap Software Co., Ltd., TOPCON CORPORATION, Trimble Inc., and L3Harris Technologies, Inc. The global Geographic Information System (GIS) market is growing rapidly, driven by the increasing adoption of GIS technology across various industries. The market is expected to reach USD 400 billion by 2027, growing at a CAGR of 15%. Recent developments include: In July 2024, Ceinsys Tech Ltd. announced the expansion of its GIS services portfolio in the U.S. market with the asset purchase of Virtual Tours, LLC. , In May 2024, NV5 Global, Inc. announced the acquisition of GIS Solutions, Inc., which provides enterprise GIS technologies and services such as GIS application development and cloud-based database design. , In April 2023, Trimble Inc. launched Trimble Unity AMS solution, which is the GIS-centric electric-based platform developed to manage the lifecycle of asset infrastructure. .

The global Geographic Information System (GIS) market in Telecom is projected to reach $1099.9 million by 2033, growing at a CAGR of 3.1% from 2025 to 2033. The increasing need for efficient network planning, optimization, and asset management drives the market growth. GIS enables telecom companies to visualize and analyze their infrastructure, identify areas for improvement, and make informed decisions. Additionally, the growing adoption of cloud-based GIS solutions and the integration of GIS with other technologies, such as IoT and AI, further fuel market expansion. Major players in the GIS market for Telecom include Environmental Systems Research Institute (Esri) Inc., Hexagon AB, Trimble Inc., Pitney Bowes Inc., Bentley Systems Incorporated, Autodesk Inc., Schneider Electric SE, General Electric Company, RMSI Private Limited, Cyient Limited, and L3Harris Technologies Inc. Key trends shaping the market include the growing demand for real-time GIS solutions, the adoption of open-source GIS platforms, and the integration of GIS with advanced analytics and machine learning techniques.

This is a hub site that has been set up to display recent web applications and static maps created by the GIS Team of the Center for Health Statistics of the Texas Department of State Health Services. Additionally, the hub site includes a link to the Survey123 GIS service request which was created in 2022.

A Health Risk Index for the State of Texas at the ZIP code level.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This shapefile contains the Emergency Services District (ESD) Boundaries for Williamson County, Texas. This shapefile is created and maintained by the Williamson Central Appraisal District Mapping Department. The data in this layer are represented as polygons.

(See USGS Digital Data Series DDS-69-E) A geographic information system focusing on the Cretaceous Travis Peak and Hosston Formations was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales. This map service shows the structural configuration of the top of the Travis Peak or Hosston Formations in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the Kelly bushing elevation or the ground surface elevation) and the reported depth of the Travis Peak or Hosston. This map service also shows the thickness of the interval from the top of the Travis Peak or Hosston Formations to the top of the Cotton Valley Group.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

(See USGS Digital Data Series DDS-69-H) A geographic information system focusing on the Upper Cretaceous Taylor and Navarro Groups was developed for the U.S. Geological Survey's (USGS) 2003 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2003 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Condon and Dyman (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales.

This map interface (MapSeries) shows the current and forecast weather for areas around the country. This display is an experimental method for both maintaining situational awareness, but also can be used as a tool for use in briefing NWS Partners.This interface is planned to be embedded at this web-facing location: https://www.weather.gov/gis/

(See USGS Digital Data Series DDS-69-E) A geographic information system focusing on the Jurassic-Cretaceous Cotton Valley Group was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales. This map service shows the structural configuration on the top of the Cotton Valley Group in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the kelly bushing elevation or the ground surface elevation) and the reported depth of the Cotton Valley Group. This map service also shows the thickness of the interval from the top of the Cotton Valley Group to the top of the Smackover Formation.

Deferred-Long-Term-Liabilities Time Series for NV5 Global Inc. NV5 Global, Inc. provides engineering design, asset management, and geospatial data analytics to support infrastructure resilience and building systems performance throughout the entire asset lifecycle. The company offers infrastructure support services, such as resiliency and sustainability, utility services and power, transportation, water, conformity assessment, building design and land development, environmental landscape architecture and urban design, and surveying and mapping; and buildings and technology services, such as data center and mission-critical, clean energy, commissioning and smart building solutions, digital buildings, fire protection and life safety, MEP engineering, owner's representative services, technology and acoustics, real estate transaction services, and pharmaceutical design. It also offers geospatial services for defense and intelligence, electric utilities, geospatial software, GIS services, hydrospatial, natural and water resources, and transportation. It caters to industries, such as corporate and commercial, cultural and the arts, education, federal, healthcare, hospitality, industrial, mission-critical and data center, residential, science and technology, sports and recreation, state and local, transportation, utility services and power, and water and natural resources. NV5 Global, Inc. was formerly known as NV5 Holdings, Inc. and changed its name to NV5 Global, Inc. in December 2015. The company was founded in 1947 and is based in Hollywood, Florida with additional offices across the world. As of August 4, 2025, NV5 Global, Inc. operates as a subsidiary of Acuren Corporation.

This image is for a card that links to Texas Health and Human Services dashboard

This application shows the Texas Health and Human Services Substance Use Service Locations. Users can enter an address or click a location on the map to filter outpatient, residential, medication for opioid use disorder, and intervention providers within their specified distance. Results can also be filtered based on service type, grouping, age services are provided for, whether services are for male or female individuals, city, and zip code. Records can be exported to csv or a pdf map. This app is created in cooperation with Texas Targeted Opioid Response (TTOR).

Data Use: This geocoded point-layer of active urban agriculture sites in the City of Dallas was compiled from several lists dated from 2017, 2018, 2022, and November 2024. The sites were verified by online presence, satellite imagery, and site visits. Acres were calculated with polygon digitizing over productive areas revealed by the satellite imagery. This is an active layer in the webmap, COD Social Health UA, and it is used for the on-going urban agriculture suitability analysis for the City of Dallas in par with the implementation of the Comprehensive Urban Agriculture Plan (CUAP).Data source: Several sources such as Dallas Coalition for Hunger Solutions, North Texas Food Bank, Green Dallas, and our active urban agriculture partners.Year: 2024 (November) Provider: OEQS Urban Agriculture DivisionRelated: COD Social Health UA, ID: ed08af809e9f4a968713fcb0e8cf8750

The Emergency Service Districts Data contains boundary information and attributes for emergency service districts in Montgomery County, Texas. Emergency service districts are responsible for providing fire protection, emergency medical services, and other critical services to residents and properties within their designated areas.This dataset is sourced from the Montgomery Central Appraisal District and is updated monthly to ensure accuracy.Data source: Montgomery Central Appraisal District

Parkland Health is a prominent healthcare institution dedicated to providing comprehensive medical services to the community. Situated in Dallas, Texas, Parkland Health is renowned for its commitment to delivering high-quality, accessible healthcare to individuals from diverse backgrounds. The facility boasts state-of-the-art medical equipment and a team of skilled healthcare professionals, ensuring that patients receive top-notch care.The institution places a strong emphasis on preventive healthcare, aiming to promote overall well-being and address health issues proactively. With a focus on community outreach, Parkland Health actively engages in health education initiatives to empower individuals to make informed decisions about their health.Parkland Health is also a hub for medical research and innovation. The institution actively participates in clinical trials and research studies, contributing to advancements in medical knowledge and treatment modalities. This commitment to research reflects Parkland Health's dedication to staying at the forefront of medical science and providing patients with cutting-edge healthcare solutions.

This joined view service combines data from the Texas Department of State Health Services with an enriched zip code service. The enriched zip code data was created using the ArcGIS Online enrichment tool. The resulting service provides users with detailed demographic information from the American Community Survey data by for each zip code within the city of Dallas. The Covid-19 Vaccination data comes from the Texas Department of State of Health services. The service with the DSHS data can be found at https://dallasgis.maps.arcgis.com/home/item.html?id=298df34bc7ca4c30a4fa423e80902a79#overview. The DSHS vaccination data is updated weekly each Monday at 6 PM CST. For more information about the Texas Immunization Registry, ImmTrac2, please visit https://www.dshs.texas.gov/immunize/immtrac/default.shtmMore data below:Zip codes are an approximation of delivery routes from the US Postal Service. There is not an authoritative GIS layer for US Postal zip codes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zip codes are not good for geospatial analysis.

This dataset represents city owned facitilies for the City of Cedar Park, Texas. The dataset is maintained by The City of Cedar Park Information Services Department, and is updated as new facilities are built or locations change.