The global Mining Exploration Software market is poised for significant growth, estimated at a substantial $650 million in 2025, with a projected Compound Annual Growth Rate (CAGR) of 12.5% through 2033. This expansion is driven by the increasing demand for efficient mineral resource discovery and the rising complexity of exploration projects. Key drivers include the imperative to identify new, economically viable mineral deposits to meet global resource demands, the growing adoption of advanced data analytics and AI in geological surveying, and the continuous need for optimized workflows in both surface and underground mining operations. The software facilitates critical tasks such as geological modeling, resource estimation, reserve calculation, and mine planning, thereby enhancing decision-making and reducing exploration risks. Innovations in 3D visualization and cloud-based platforms are further accelerating market penetration, offering enhanced collaboration and accessibility for exploration teams worldwide. The market is segmented by application into Mine, Underground Mining, and Others, with Mine and Underground Mining applications expected to represent the largest share due to their inherent need for sophisticated exploration tools. By type, the market is divided into 2D Software and 3D Software, with a discernible shift towards 3D Software due to its superior capabilities in representing complex geological structures and enabling more accurate volumetric calculations. Major industry players such as AVEVA, Datamine, Maptek Vulcan, and MicroMine are actively investing in research and development to offer integrated solutions that cater to the evolving needs of the mining industry. Restraints such as the high initial investment for advanced software and the need for skilled personnel to operate these sophisticated tools are present, but are being mitigated by the increasing availability of subscription-based models and comprehensive training programs. Emerging economies, particularly in Asia Pacific and South America, are presenting substantial growth opportunities as mining activities intensify in these regions. This report provides an in-depth analysis of the global Mining Exploration Software market, spanning the historical period of 2019-2024, the base and estimated year of 2025, and a comprehensive forecast period from 2025 to 2033. The study delves into market dynamics, technological advancements, regulatory landscapes, and competitive strategies that are shaping the future of mineral resource discovery and evaluation. With a projected market valuation of USD 850 million in 2025, expected to reach USD 1,500 million by 2033, this report offers critical insights for stakeholders seeking to capitalize on the burgeoning opportunities within this sector.

The data (https://doi.org/10.5066/F7GH9GQR) represent the global distribution of selected critical mineral resources in mines, deposits, districts, and regions as of 2017. These data complement the report by Schulz and others (2017) which provides national and global information on 23 critical minerals - antimony (Sb), barite (barium, Ba), beryllium (Be), cobalt (Co), fluorite or fluorspar (fluorine, F), gallium (Ga), germanium (Ge), graphite (carbon, C), hafnium (Hf), indium (In), lithium (Li), manganese (Mn), niobium (Nb), platinum-group elements (PGE), rare-earth elements (REE), rhenium (Re), selenium (Se), tantalum (Ta), tellurium (Te), tin (Sn), titanium (Ti), vanadium (V), and zirconium (Zr) resources. The geospatial data provide generalized information such as feature name, deposit type, and location description. The data are used in the analysis of current and future supply chains of mineral commodities important to the U.S. economy and security and the environmental consequences related to their production and use. The point and polygon vector data in the geodatabase are suitable for use in Geographic Information Systems (GIS) or other database and geospatial software. The data may be used to develop maps, perform regional-scale geospatial analyses, or assess mineral resources in the areas covered by the data. The information is intended to meet the needs of a wide community of users that includes the geoscience and mineral exploration communities as well as State and Federal agencies, Congress, private industry, and the general public. Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., 2017, Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, 777 p., https://doi.org/10.3133/pp1802

Discover the booming geological exploration software market! This comprehensive analysis reveals key trends, drivers, and restraints impacting this $1.5B+ industry, highlighting leading companies and regional growth forecasts through 2033. Learn about the shift to cloud-based solutions and the impact of AI.

The Digital Geologic-GIS Map of Appomattox Court House National Historical Park and Vicinity, Virginia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (apco_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (apco_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (apco_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (apco_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (apco_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (apco_geology_metadata_faq.pdf). Please read the apco_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Virginia Department of Mines, Minerals and Energy, Division of Mineral Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (apco_geology_metadata.txt or apco_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:500,000 and United States National Map Accuracy Standards features are within (horizontally) 254 meters or 833.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This georectified digital map portrays mines in the Coeur d'Alene Mining District of Idaho. Map date: 1920. The original paper map was scanned, georeferenced, and rectified to broaden access and to facilitate use in GIS software.

The global Geographic Information System (GIS) market is booming, projected to reach $17.5 billion by 2033 with a 5.8% CAGR. Discover key trends, drivers, and regional insights in this comprehensive market analysis, covering major players and applications.

Explore the expanding Geographic Information System (GIS) market, projected at USD 10,880 million in 2025 with a 5.8% CAGR. Discover key drivers, industry applications, hardware & software trends, and regional growth opportunities.

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Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector, gover

The Digital Geologic-GIS Maps of Bighorn Canyon National Recreation Area, Montana and Wyoming is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (bica_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (bica_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (bica_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (bica_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (bica_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (bica_geology_metadata_faq.pdf). Please read the bica_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and Montana Bureau of Mines and Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (bica_geology_metadata.txt or bica_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Discover the booming mine mapping system market! This comprehensive analysis reveals a $2.5B market in 2025, projected to reach $7.8B by 2033 with a 12% CAGR. Learn about key trends, leading companies (Mine Vision Systems, YellowScan, Maptek, etc.), and regional market shares. Optimize your mining operations with advanced mapping technology.

The drone surveying software market is experiencing robust growth, driven by increasing demand for efficient and cost-effective surveying solutions across various sectors. The market, currently estimated at $2.5 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $8 billion by 2033. This growth is fueled by several key factors. The adoption of drones is increasing rapidly due to their ability to collect high-resolution data quickly and safely in challenging terrains, making them ideal for applications like precision agriculture, infrastructure inspection, mining site mapping, and environmental monitoring. Furthermore, advancements in software capabilities, such as automated data processing, 3D modeling, and integration with GIS systems, are enhancing the efficiency and accuracy of surveying operations. The cloud-based software segment is exhibiting particularly strong growth, driven by increased accessibility, scalability, and collaboration features. Major players are continuously innovating to enhance their software's capabilities, fostering competition and driving market expansion. The North American market currently holds a significant share, benefiting from early adoption and a well-established drone technology ecosystem. However, the Asia-Pacific region is expected to witness the fastest growth in the coming years, fueled by increasing infrastructure development, rapid urbanization, and rising government investments in surveying and mapping projects. While challenges remain, such as regulatory hurdles and the need for skilled professionals, the overall market outlook is positive. The continued advancements in drone technology, software capabilities, and the expanding range of applications will further propel the market's growth trajectory throughout the forecast period. The competitive landscape is dynamic, with both established players and emerging startups vying for market share, contributing to innovation and making the market highly attractive for investment and growth.

Discover the booming Automated Mine Scanning Machines market! This comprehensive analysis reveals a $2237 million market in 2025, projected to reach $3451 million by 2033, driven by safety, efficiency, and technological advancements. Explore market trends, key players, and regional insights.

This package contains the map and network files used to analyze connections between research topics, authors, and national research communities in software testing research, based on a large sample of studies from Scopus.

NOTE: This package will soon be replaced by an updated, final version. We recommend checking shortly for that. Please make sure you have the latest version of this package.

A draft of the publication is included in this package.

Explore the booming Geology Software market with insights into its USD 1,500 million size, 10.5% CAGR, key drivers like mining and geophysics, and leading companies. Discover trends, restraints, and regional growth opportunities.

Discover the booming drone surveying software market! This comprehensive analysis reveals key trends, growth forecasts (CAGR 15% to 2033), leading companies (DJI, Autodesk, Pix4D), and regional market shares. Learn how this technology is revolutionizing agriculture, mining, and municipal affairs. Explore the shift towards cloud-based solutions and the opportunities for growth in this dynamic sector.

The Digital Geologic-GIS Map of the El Morro Quadrangle, New Mexico is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (elor_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (elor_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (elmo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (elmo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (elor_geology_metadata_faq.pdf). Please read the elmo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: New Mexico Bureau of Mines and Mineral Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (elor_geology_metadata.txt or elor_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

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.

The Alaska Division of Geological & Geophysical Surveys (DGGS) has conducted 1:63,360-scale geologic mapping of the Eagle A-1 Quadrangle. The area is part of the 100-year old Fortymile mining district and is located in eastern Alaska near the Alaska-Yukon border. This map illustrates potential near-surface sources of various geologic materials that may be useful for construction. Field observations indicate that each geologic unit (for example, stream alluvium) has a definite composition or range of composition. Therefore, the probable presence of materials is interpreted from the distribution of geologic units on the geologic map of this quadrangle. This map is generalized and is not intended to show exact locations of specific materials. Local variations are common, especially near unit boundaries. The map was derived electronically from the geologic map of the area using Geographic Information System (GIS) software. It is locally verified by ground observations during field visits. The results should be considered reconnaissance in nature.