100+ datasets found
  1. d

    Data from: GIS Web Services

    • catalog.data.gov
    • data.brla.gov
    • +1more
    Updated Sep 15, 2023
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    data.brla.gov (2023). GIS Web Services [Dataset]. https://catalog.data.gov/dataset/gis-web-services
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.brla.gov
    Description

    A listing of web services published from the authoritative East Baton Rouge Parish Geographic Information System (EBRGIS) data repository. Services are offered in Esri REST, and the Open Geospatial Consortium (OGC) Web Mapping Service (WMS) or Web Feature Service (WFS) formats.

  2. PLACES: Place Data (GIS Friendly Format), 2022 release

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Jun 28, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). PLACES: Place Data (GIS Friendly Format), 2022 release [Dataset]. https://catalog.data.gov/dataset/places-place-data-gis-friendly-format-2022-release
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

  3. High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska,...

    • data.nasa.gov
    • datasets.ai
    • +3more
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://data.nasa.gov/dataset/high-resolution-quickbird-imagery-and-related-gis-layers-for-barrow-alaska-usa-version-1
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Utqiagvik, United States, Alaska
    Description

    This data set contains high-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area (156.15° W - 157.07° W, 71.15° N - 71.41° N) and Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitalGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats. Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format). Unmodified QuickBird data comprise 62 data tiles in Universal Transverse Mercator (UTM) Zone 4 in GeoTIFF format. Standard release files describing the QuickBird data are included, along with the DigitalGlobe license agreement and product handbooks. The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are provided on four DVDs. This product is available only to investigators funded specifically from the National Science Foundation (NSF), Office of Polar Programs (OPP), Arctic Sciences Section. An NSF OPP award number must be provided when ordering this data.

  4. H

    AReNA’s DHS-GIS Database

    • dataverse.harvard.edu
    Updated Feb 23, 2021
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    International Food Policy Research Institute (IFPRI) (2021). AReNA’s DHS-GIS Database [Dataset]. http://doi.org/10.7910/DVN/OQIPRW
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 23, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    International Food Policy Research Institute (IFPRI)
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/OQIPRWhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/OQIPRW

    Time period covered
    1980 - 2019
    Area covered
    Nepal, Lesotho, Nigeria, Rwanda, Mali, Kenya, Benin, Burundi, Bangladesh, Myanmar
    Dataset funded by
    The Bill & Melinda Gates Foundation
    Description

    Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. AReNA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic and Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data). This dataset includes 60 countries, 184 DHS, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime.

  5. S

    How to Use GIS Open Data Portal

    • data.sanjoseca.gov
    html
    Updated Oct 6, 2020
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    Enterprise GIS (2020). How to Use GIS Open Data Portal [Dataset]. https://data.sanjoseca.gov/dataset/how-to-use-gis-open-data-portal
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    htmlAvailable download formats
    Dataset updated
    Oct 6, 2020
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.

  6. a

    Getting Started with GIS

    • hub.arcgis.com
    Updated Jan 30, 2019
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    State of Delaware (2019). Getting Started with GIS [Dataset]. https://hub.arcgis.com/documents/52a04f17dfa845d79036ea5f341be606
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    Dataset updated
    Jan 30, 2019
    Dataset authored and provided by
    State of Delaware
    Description

    Get an introduction to the basic components of a GIS. Learn fundamental concepts that underlie the use of a GIS with hands-on experience with maps and geographic data.

  7. GIS Data & Maps

    • figshare.com
    bin
    Updated Apr 24, 2023
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    JACKSON LORD (2023). GIS Data & Maps [Dataset]. http://doi.org/10.6084/m9.figshare.15152256.v2
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    binAvailable download formats
    Dataset updated
    Apr 24, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    JACKSON LORD
    License

    https://www.apache.org/licenses/LICENSE-2.0.htmlhttps://www.apache.org/licenses/LICENSE-2.0.html

    Description

    Data for maps and figures in "Global Potential for Harvesting Drinking Water from Air using Solar Energy" in Nature.

  8. n

    Using GPS and GIS

    • library.ncge.org
    Updated Jul 27, 2021
    + more versions
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    NCGE (2021). Using GPS and GIS [Dataset]. https://library.ncge.org/documents/50b7245a36114c4387e4327782030633
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    Dataset updated
    Jul 27, 2021
    Dataset authored and provided by
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: A Lisson, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 8Resource type: lessonSubject topic(s): gis, geographic thinkingRegion: united statesStandards: Minnesota Social Studies Standards

    Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.Objectives: Students will be able to:

    1. Explain the difference between two types of geospatial technologies - GPS and GIS.
    2. Develop basic skills to effectively manipulate and use GPS receivers and ArcGIS software.
    3. Explain uses of GPS and GIS.Summary: Students use GPS coordinates to discover geocaches at a local park, and they use ArcGIS to layer maps about the park. Frontenac State park is the example, but any park or area (including school grounds) could be used. Students also investigate careers that use GIS.
  9. G

    GIS Mapping Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 21, 2025
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    Data Insights Market (2025). GIS Mapping Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/gis-mapping-tools-533095
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming GIS mapping tools market! This in-depth analysis reveals a $15B market in 2025 projected to reach $39B by 2033, driven by cloud adoption, AI integration, and surging demand across sectors. Explore key trends, leading companies (Esri, ArcGIS, QGIS, etc.), and regional growth forecasts.

  10. r

    Firm survey wave 1 and 2 (GIS)

    • redivis.com
    Updated Jul 18, 2022
    + more versions
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    Data for Development Initiative (2022). Firm survey wave 1 and 2 (GIS) [Dataset]. https://redivis.com/datasets/rxq3-9x047we25
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    Dataset updated
    Jul 18, 2022
    Dataset authored and provided by
    Data for Development Initiative
    Description

    The table Firm survey wave 1 and 2 (GIS) is part of the dataset SEDRI Ethiopia firm survey (GIS), available at https://stanford.redivis.com/datasets/rxq3-9x047we25. It contains 1585 rows across 3377 variables.

  11. G

    GIS Mapping Tools Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 12, 2025
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    Archive Market Research (2025). GIS Mapping Tools Report [Dataset]. https://www.archivemarketresearch.com/reports/gis-mapping-tools-21741
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the GIS Mapping Tools market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX % during the forecast period.

  12. G

    Geographic Information System(GIS) Solutions Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 15, 2025
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    Data Insights Market (2025). Geographic Information System(GIS) Solutions Report [Dataset]. https://www.datainsightsmarket.com/reports/geographic-information-systemgis-solutions-539606
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Geographic Information System (GIS) Solutions market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market, estimated at $15 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 8%. This growth is attributed to several key factors. Firstly, the rising need for precise spatial data analysis and visualization across industries like agriculture (precision farming), oil & gas (resource exploration and management), and construction (infrastructure planning and development) is driving demand. Secondly, advancements in GIS software and services, including cloud-based solutions and AI-powered analytics, are enhancing efficiency and accessibility. Thirdly, government initiatives promoting smart cities and infrastructure development are further boosting market expansion. The market is segmented by application (Agriculture, Oil & Gas, AEC, Transportation, Mining, Government, Healthcare, Others) and type (Software, Services), with software solutions currently holding a larger market share due to increasing digitization and data-driven decision-making. North America and Europe are currently the leading regional markets, benefiting from established infrastructure and high technology adoption rates, but Asia-Pacific is poised for significant growth driven by rapid urbanization and infrastructure development. Despite the promising growth trajectory, certain challenges remain. High initial investment costs for GIS software and implementation can be a barrier to entry for smaller businesses. Furthermore, the need for skilled professionals to effectively utilize and manage GIS data poses a considerable constraint. However, the ongoing development of user-friendly interfaces and accessible training programs is mitigating this issue. The competitive landscape is characterized by a mix of established players like ESRI, Hexagon, and Pitney Bowes, alongside emerging technology providers. These companies are actively investing in R&D and strategic partnerships to maintain their competitive edge and capitalize on the market's expansion. The long-term outlook for the GIS solutions market remains positive, with continuous innovation and expanding applications across various sectors paving the way for sustained growth throughout the forecast period.

  13. Shawnee National Forest Geospatial Data

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 22, 2025
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    USDA Forest Service (2025). Shawnee National Forest Geospatial Data [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Shawnee_National_Forest_Geospatial_Data/24661920
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    binAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    USDA Forest Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    GIS data is available on the Forest’s FTP site in the form of “shape files” or layers and is available free for downloading. To utilize these data layers you will need a program that uses the Geographic Information System (GIS) such as ESRI’s ArcMap, ArcView or the free map reading program ArcGIS Explorer. ArcGIS Explorer has tools that let you zoom in/out, print the map, and query data. It also has map tips to identify features, and a help menu. ArcGIS Explorer is available as a free download from the ESRI website. Included is a list of GIS data files available for the Shawnee National Forest. These GIS data files are updated on a continuing basis. It should be noted that this data may have been developed from sources of differing accuracy, accurate only at certain scales, based on modeling or interpretation, or incomplete while being created or revised. Overall accuracy, completeness and timeliness may vary. The following geospatial information/data was prepared by the Shawnee National Forests (US Forest Service). The Forest Service reserves the right to correct, update, modify or replace GIS data without notification. Resources in this dataset:Resource Title: Geospatial Data. File Name: Web Page, url: https://www.fs.usda.gov/main/shawnee/landmanagement/gis Information about the geospatial data and a ftp link to download Forest GIS Data Shapefiles.

  14. PLACES: ZCTA Data (GIS Friendly Format), 2020 release

    • data.cdc.gov
    • data.virginia.gov
    • +5more
    Updated Oct 7, 2021
    + more versions
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    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health (2021). PLACES: ZCTA Data (GIS Friendly Format), 2020 release [Dataset]. https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/bdsk-unrd
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    kml, kmz, application/geo+json, csv, xlsx, xmlAvailable download formats
    Dataset updated
    Oct 7, 2021
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.

  15. k

    Preparation of GIS Maps for land use and Forest cover assessment of PFI...

    • opendata.kp.gov.pk
    Updated Mar 16, 2022
    + more versions
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    (2022). Preparation of GIS Maps for land use and Forest cover assessment of PFI Information Year 2021 [Dataset]. https://opendata.kp.gov.pk/dataset/preparation-of-gis-maps-for-land-use-and-forest-cover-assessment-of-pfi-information-year-2021
    Explore at:
    Dataset updated
    Mar 16, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Preparation of GIS Maps for land use and Forest cover assessment of PFI Information Year 2021

  16. P

    Broward County GIS Address Points

    • data.pompanobeachfl.gov
    • geohub-bcgis.opendata.arcgis.com
    Updated Aug 8, 2023
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    External Datasets (2023). Broward County GIS Address Points [Dataset]. https://data.pompanobeachfl.gov/dataset/broward-county-gis-address-points
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    zip, html, kml, csv, arcgis geoservices rest api, geojsonAvailable download formats
    Dataset updated
    Aug 8, 2023
    Dataset provided by
    cjennings_BCGIS
    Authors
    External Datasets
    Area covered
    Broward County
    Description

    This GIS Address Point dataset was created and updated by Broward County GIS. As of May 1st, 2015, all single-family residential homes have been updated in this layer and placed on corresponding building footprints when applicable. Since then other addresses are added as they become available from various authoritative sources. December 2016 reprojected to NAD 1983 HARN State Plane Florida East FIPS 0901 Feet.

    · Regular updates to this dataset as new data is submitted and verified.

    · Data is considered current.

    This layer is not a complete set of addresses in Broward County. We are in the process of accomplishing our goal to provide emergency services with a precise dataset conducive to rapid and efficient emergency response. Expected completion date is unknown at this time. Future enhancements will include addresses for multi-family residences, strip malls, businesses, etc.

    Source: BCGIS,, BCPA

    Effective Date: 2019

    Update cycle; Daily

  17. D

    GIS Data Management Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). GIS Data Management Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-gis-data-management-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    GIS Data Management Market Outlook



    The global GIS Data Management market size is projected to grow from USD 12.5 billion in 2023 to USD 25.6 billion by 2032, exhibiting a CAGR of 8.4% during the forecast period. This impressive growth is driven by the increasing adoption of geographic information systems (GIS) across various sectors such as urban planning, disaster management, and agriculture. The rising need for effective data management systems to handle the vast amounts of spatial data generated daily also significantly contributes to the market's expansion.



    One of the primary growth factors for the GIS Data Management market is the burgeoning demand for spatial data analytics. Businesses and governments are increasingly leveraging GIS data to make informed decisions and strategize operational efficiencies. With the rapid urbanization and industrialization worldwide, there's an unprecedented need to manage and analyze geographic data to plan infrastructure, monitor environmental changes, and optimize resource allocation. Consequently, the integration of GIS with advanced technologies like artificial intelligence and machine learning is becoming more prominent, further fueling market growth.



    Another significant factor propelling the market is the advancement in GIS technology itself. The development of sophisticated software and hardware solutions for GIS data management is making it easier for organizations to capture, store, analyze, and visualize geographic data. Innovations such as 3D GIS, real-time data processing, and cloud-based GIS solutions are transforming the landscape of geographic data management. These advancements are not only enhancing the capabilities of GIS systems but also making them more accessible to a broader range of users, from small enterprises to large governmental agencies.



    The growing implementation of GIS in disaster management and emergency response activities is also a critical factor driving market growth. GIS systems play a crucial role in disaster preparedness, response, and recovery by providing accurate and timely geographic data. This data helps in assessing risks, coordinating response activities, and planning resource deployment. With the increasing frequency and intensity of natural disasters, the reliance on GIS data management systems is expected to grow, resulting in higher demand for GIS solutions across the globe.



    Geospatial Solutions are becoming increasingly integral to the GIS Data Management landscape, offering enhanced capabilities for spatial data analysis and visualization. These solutions provide a comprehensive framework for integrating various data sources, enabling users to gain deeper insights into geographic patterns and trends. As organizations strive to optimize their operations and decision-making processes, the demand for robust geospatial solutions is on the rise. These solutions not only facilitate the efficient management of spatial data but also support advanced analytics and real-time data processing. By leveraging geospatial solutions, businesses and governments can improve their strategic planning, resource allocation, and environmental monitoring efforts, thereby driving the overall growth of the GIS Data Management market.



    Regionally, North America holds a significant share of the GIS Data Management market, driven by high technology adoption rates and substantial investments in GIS technologies by government and private sectors. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The rapid urbanization, economic development, and increasing adoption of advanced technologies in countries like China and India are major contributors to this growth. Governments in this region are also focusing on smart city projects and infrastructure development, which further boosts the demand for GIS data management solutions.



    Component Analysis



    The GIS Data Management market is segmented by component into software, hardware, and services. The software segment is the largest and fastest-growing segment, driven by the continuous advancements in GIS software capabilities. GIS software applications enable users to analyze spatial data, create maps, and manage geographic information efficiently. The integration of GIS software with other enterprise systems and the development of user-friendly interfaces are key factors propelling the growth of this segment. Furthermore, the rise of mobile GIS applications, which allow field data collectio

  18. GIS software in the agriculture industry in Spain 2018-2024

    • statista.com
    Updated May 17, 2021
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    Statista (2021). GIS software in the agriculture industry in Spain 2018-2024 [Dataset]. https://www.statista.com/statistics/1238726/gis-software-agriculture-industry-spain/
    Explore at:
    Dataset updated
    May 17, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    Smart agriculture refers to tools that collect, store and analyze digital data along the agricultural value chain. Geographic Information System (GIS) system software is one of those tools used in the agricultural sector. The GIS System market in Spain had a value of over ** million dollars in 2019.

  19. a

    State of South Dakota GIS Data

    • hub.arcgis.com
    • datasets.ai
    • +1more
    Updated May 13, 2019
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    City of Sioux Falls GIS (2019). State of South Dakota GIS Data [Dataset]. https://hub.arcgis.com/documents/ec5a73757ae14c1cb819bdb89c9ffd11
    Explore at:
    Dataset updated
    May 13, 2019
    Dataset authored and provided by
    City of Sioux Falls GIS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Link to State of South Dakota GIS Data.

  20. G

    Geographic Information System (GIS) Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 19, 2025
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    Archive Market Research (2025). Geographic Information System (GIS) Report [Dataset]. https://www.archivemarketresearch.com/reports/geographic-information-system-gis-49382
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Geographic Information System (GIS) market was valued at USD 10270 million in 2024 and is projected to reach USD 15038.96 million by 2033, with an expected CAGR of 5.6 % during the forecast period.

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Link copied
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data.brla.gov (2023). GIS Web Services [Dataset]. https://catalog.data.gov/dataset/gis-web-services

Data from: GIS Web Services

Related Article
Explore at:
Dataset updated
Sep 15, 2023
Dataset provided by
data.brla.gov
Description

A listing of web services published from the authoritative East Baton Rouge Parish Geographic Information System (EBRGIS) data repository. Services are offered in Esri REST, and the Open Geospatial Consortium (OGC) Web Mapping Service (WMS) or Web Feature Service (WFS) formats.

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