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TwitterThe Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida 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 (guis_geomorphology.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 (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.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 (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.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 (guis_geomorphology_metadata_faq.pdf). Please read the guis_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: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guis_geomorphology_metadata.txt or guis_geomorphology_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 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 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).
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Explore insights from Market Research Intellect's Digital Map Software Market Report, valued at USD 5.2 billion in 2024, expected to reach USD 10.2 billion by 2033 with a CAGR of 8.5% during 2026-2033.Uncover opportunities across demand patterns, technological innovations, and market leaders.
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Discover the booming digital map ecosystem market, projected to reach $450 billion by 2033. Explore key drivers, regional trends, and leading companies shaping this rapidly evolving landscape, including autonomous vehicle integration and LBS advancements. Learn more about market size, CAGR, and segmentation analysis in this comprehensive report.
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Global Digital Map Software Market is segmented by Application (Transportation_ Real estate_ Tourism_ Urban planning), Type (Geographic Information Systems (GIS)_ Navigation software_ GPS mapping), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)
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The booming digital map market, valued at $9.05B in 2025 and growing at a 26.06% CAGR, is driven by location-based services, AI, and autonomous vehicles. Explore key trends, leading companies, and regional insights in this comprehensive market analysis covering navigation, geocoding, and more. Forecast to 2033.
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According to our latest research, the global digital mapping market size reached USD 28.7 billion in 2024, reflecting robust demand across industries. The market is projected to grow at a CAGR of 13.2% during the forecast period, with the total market value expected to reach USD 80.2 billion by 2033. This strong growth is primarily driven by the increasing adoption of location-based services, advancements in geospatial technologies, and the integration of digital mapping solutions in emerging applications such as autonomous vehicles and smart cities.
The surge in demand for real-time geospatial data is a significant growth factor for the digital mapping market. Organizations across various sectors are leveraging digital mapping solutions to enhance operational efficiency, improve customer experiences, and support data-driven decision-making. The proliferation of smartphones and connected devices has also contributed to the widespread use of digital maps in everyday applications, ranging from navigation and routing to asset tracking and logistics management. Additionally, the rise of autonomous vehicles and drone technologies has created new opportunities for high-precision mapping, further fueling market expansion.
Another key driver is the rapid advancement of mapping software and hardware technologies. Innovations such as artificial intelligence, machine learning, and cloud computing have revolutionized the way digital maps are created, updated, and utilized. Modern mapping platforms now offer real-time updates, 3D visualization, and seamless integration with other enterprise systems. These technological enhancements have made digital mapping solutions more accessible and affordable, encouraging their adoption among small and medium enterprises as well as large organizations. The increasing availability of high-resolution satellite imagery and open-source geospatial data has also lowered entry barriers for new market participants.
Government initiatives aimed at developing smart infrastructure and enhancing public safety have further accelerated the adoption of digital mapping solutions. Many governments worldwide are investing in digital mapping projects to support urban planning, disaster management, and transportation optimization. These initiatives are not only improving the quality of public services but also fostering collaboration between public and private sector stakeholders. Furthermore, the expansion of the Internet of Things (IoT) ecosystem is driving demand for advanced mapping solutions capable of handling vast amounts of real-time location data from connected devices.
From a regional perspective, North America continues to dominate the digital mapping market, accounting for the largest revenue share in 2024. This leadership is attributed to the presence of major technology companies, early adoption of advanced mapping solutions, and substantial investments in research and development. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increasing smartphone penetration, and government initiatives supporting digital transformation. Europe also remains a significant market, benefiting from strong demand in the automotive, transportation, and logistics sectors.
The digital mapping market by component is segmented into software, services, and hardware, each playing a distinct role in the ecosystem. Software solutions form the backbone of digital mapping, offering functionalities such as map creation, real-time data integration, and analytics. The ongoing evolution of mapping software, driven by advancements in AI and machine learning, has enabled organizations to extract actionable insights from geospatial data, automate map updates, and deliver highly personalized user experiences. The increasing demand for custom mapping applications and the integration of mapping APIs into enterprise workflows have further fueled
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The Digital Map Ecosystem is poised for substantial growth, projected to reach an estimated market size of $35,000 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of 15% extending through 2033. This expansion is primarily fueled by the escalating demand for advanced navigation solutions, the increasing integration of digital maps in autonomous driving systems, and the burgeoning use of location-based services across diverse sectors. The proliferation of smart devices and the growing adoption of IoT technologies further amplify the need for precise and real-time mapping data, driving innovation in map acquisition and processing. Furthermore, the defense sector's reliance on sophisticated mapping for reconnaissance and strategic planning, alongside the civil sector's demand for efficient logistics, urban planning, and personalized user experiences, are significant growth catalysts. The market is characterized by rapid advancements in 3D mapping, AI-powered data analysis, and the development of highly detailed, dynamic map layers that cater to increasingly complex user requirements. Despite the optimistic outlook, the Digital Map Ecosystem faces certain restraints. High infrastructure costs associated with data acquisition, processing, and maintenance present a significant barrier to entry and scalability for smaller players. Privacy concerns surrounding the collection and usage of location data, coupled with stringent data protection regulations in various regions, necessitate careful compliance and can slow down the pace of innovation and deployment. Additionally, the intense competition among established tech giants and emerging startups can lead to pricing pressures and a constant need for differentiation. However, the market is actively addressing these challenges through strategic partnerships, cloud-based solutions, and a focus on delivering value-added services beyond basic mapping. The segmentation of the market into Civil and Military applications, with further subdivisions into Acquisition, Production, and Release Systems, highlights the specialized needs and technological advancements tailored to each segment, ensuring continued relevance and adoption. This report offers an in-depth analysis of the global Digital Map Ecosystem, forecasting its trajectory from the historical period of 2019-2024, through the base year of 2025, and into the forecast period of 2025-2033. We delve into the intricate workings of this vital sector, providing actionable insights for stakeholders.
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Discover the booming digital map software market! This comprehensive analysis reveals a CAGR of 12%, projecting a $37.7 billion market by 2033. Explore key drivers, trends, and challenges shaping this dynamic sector, dominated by players like Apple, Google, and TomTom. Learn about regional growth and market segmentation.
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Digital Maps Market size was valued at USD 25.95 Billion in 2024 and is projected to reach USD 100.9 Billion by 2032, growing at a CAGR of 18.50% from 2026 to 2032Increase in Global Smartphone Penetration: The relentless rise in global smartphone penetration stands as the single most critical driver for the digital maps industry, transforming mapping from a niche tool into a mass market utility. According to GSMA’s The Mobile Economy 2023 research, global smartphone adoption reached a staggering 78% in 2022 and is projected to climb to 84% by 2030. This exponential increase in device ownership directly correlates with a surging demand for Location Based Services (LBS), including real time routing, local search, and hyper local advertisements, which are integral to the daily lives of billions of consumers.
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Digital Map Market Size 2025-2029
The digital map market size is forecast to increase by USD 31.95 billion at a CAGR of 31.3% between 2024 and 2029.
The market is driven by the increasing adoption of intelligent Personal Digital Assistants (PDAs) and the availability of location-based services. PDAs, such as smartphones and smartwatches, are becoming increasingly integrated with digital map technologies, enabling users to navigate and access real-time information on-the-go. The integration of Internet of Things (IoT) enables remote monitoring of cars and theft recovery. Location-based services, including mapping and navigation apps, are a crucial component of this trend, offering users personalized and convenient solutions for travel and exploration. However, the market also faces significant challenges.
Ensuring the protection of sensitive user information is essential for companies operating in this market, as trust and data security are key factors in driving user adoption and retention. Additionally, the competition in the market is intense, with numerous players vying for market share. Companies must differentiate themselves through innovative features, user experience, and strong branding to stand out in this competitive landscape. Security and privacy concerns continue to be a major obstacle, as the collection and use of location data raises valid concerns among consumers.
What will be the Size of the Digital Map Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the market, cartographic generalization and thematic mapping techniques are utilized to convey complex spatial information, transforming raw data into insightful visualizations. Choropleth maps and dot density maps illustrate distribution patterns of environmental data, economic data, and demographic data, while spatial interpolation and predictive modeling enable the estimation of hydrographic data and terrain data in areas with limited information. Urban planning and land use planning benefit from these tools, facilitating network modeling and location intelligence for public safety and emergency management.
Spatial regression and spatial autocorrelation analyses provide valuable insights into urban development trends and patterns. Network analysis and shortest path algorithms optimize transportation planning and logistics management, enhancing marketing analytics and sales territory optimization. Decision support systems and fleet management incorporate 3D building models and real-time data from street view imagery, enabling effective resource management and disaster response. The market in the US is experiencing robust growth, driven by the integration of Geographic Information Systems (GIS), Global Positioning Systems (GPS), and advanced computer technology into various industries.
How is this Digital Map Industry segmented?
The digital map industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
Navigation
Geocoders
Others
Type
Outdoor
Indoor
Solution
Software
Services
Deployment
On-premises
Cloud
Geography
North America
US
Canada
Europe
France
Germany
UK
APAC
China
India
Indonesia
Japan
South Korea
Rest of World (ROW)
By Application Insights
The navigation segment is estimated to witness significant growth during the forecast period. Digital maps play a pivotal role in various industries, particularly in automotive applications for driver assistance systems. These maps encompass raster data, aerial photography, government data, and commercial data, among others. Open-source data and proprietary data are integrated to ensure map accuracy and up-to-date information. Map production involves the use of GPS technology, map projections, and GIS software, while map maintenance and quality control ensure map accuracy. Location-based services (LBS) and route optimization are integral parts of digital maps, enabling real-time navigation and traffic data.
Data validation and map tiles ensure data security. Cloud computing facilitates map distribution and map customization, allowing users to access maps on various devices, including mobile mapping and indoor mapping. Map design, map printing, and reverse geocoding further enhance the user experience. Spatial analysis and data modeling are essential for data warehousing and real-time navigation. The automotive industry's increasing adoption of connected cars and long-term evolution (LTE) technologies have fueled the demand for digital maps. These maps enable driver assistance applications,
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According to Cognitive Market Research, the global Digital Maps market size was USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
The global Digital Maps market will expand significantly by XX% CAGR between 2024 to 2031.
North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Europe accounted for a share of over XX% of the global market size of USD XX million.
Asia Pacific held a market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Latin America's market will have more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
The Tracking and Telematics segment is set to rise GPS tracking enables fleet managers to monitor their cars around the clock, avoiding expensive problems like speeding and other careless driving behaviors like abrupt acceleration.
The digital maps market is driven by mobile computing devices that are increasingly used for navigation, and the increased usage of geographic data.
The retail and real estate segment held the highest Digital Maps market revenue share in 2023.
Market Dynamics of Digital Maps:
Key drivers of the Digital Maps Market
Mobile Computing Devices Are Increasingly Used for Navigation leading to market expansion-
Since technology is changing rapidly, two categories of mobile computing devices—tablets and smartphones—are developing and becoming more diverse. One of the newest features accessible in this category is map software, which is now frequently preinstalled on smartphones. Meitrack Group launched the MD500S, a four-channel AI mobile DVR, for the first time in 2022. The MD500S is a 4-channel MDVR with excellent stability that supports DMS, GNSS tracking, video recording, and ADAS. Source- https://www.meitrack.com/ai-mobile-dvr/#:~:text=Mini%204CH%20AI%20Mobile%20DVR,surveillance%20solutions%20that%20uses%20H.
It's no secret that people who own smartphones routinely use built-in mapping apps to find directions and other driving assistance. Furthermore, these individuals use georeferenced data from GPS and GIS apps to find nearby establishments such as cafes, movie theatres, and other sites of interest. Mobile computing devices are now commonly used to acquire accurate 3D spatial information. A personal digital assistant (PDA) is a software agent that uses information from the user's computer, location, and various web sources to accomplish tasks or offer services. Thus, mobile computing devices are increasingly used for navigation leading to market expansion.
The usage of geographic data has increased leading to market expansion-
Since it is used in so many different industries and businesses—including risk and emergency management, infrastructure management, marketing, urban planning, resource management (oil, gas, mining, and other resources), business planning, logistics, and more—geospatial information has seen a boom in recent years. Since location is one of the essential components of context, geo-information also serves as a basis for applications in the future. For example, Atos SE provides services to companies in supply chain management, data centers, infrastructure development, urban planning, risk and emergency management, navigation, and healthcare by utilizing geographic information system (GIS) platforms with location-based services (LBS).
Furthermore, augmented reality-based technologies make use of 3D platforms and GIS data to offer virtual information about people and their environment. Businesses can offer users customized ads by using this information to better understand their needs.Thus, the usage of geographic data has increased leading to market expansion.
Restraints of the Digital Maps Market
Lack of knowledgeable and skilled technicia...
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Digital Map Market is Segmented by Solution (Software, Services), Deployment (On-Premise, Cloud), Map Type (Navigation Maps, HD and Real-Time Maps, Topographic and Thematic Maps), End User Industry (Automotive, Engineering and Construction, Telecommunications and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).
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TwitterThe Digital Geomorphic-GIS Map of the Pea Island (1:24,000 scale 2007 mapping), North Carolina 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 (peai_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (peai_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (peai_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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 (caha_fora_wrbr_geomorphology.pdf), 2.) the GRI ancillary map information document (.pdf) file (caha_fora_wrbr_geomorphology.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 (peai_geomorphology_metadata_faq.pdf). Please read the caha_fora_wrbr_geomorphology.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: 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: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (peai_geomorphology_metadata.txt or peai_geomorphology_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, 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).
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 12.27(USD Billion) |
| MARKET SIZE 2025 | 13.3(USD Billion) |
| MARKET SIZE 2035 | 30.0(USD Billion) |
| SEGMENTS COVERED | Application, Technology, End Use, Data Type, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | Technological advancements, Increasing mobile applications, Demand for location-based services, Growth in autonomous vehicles, Expansion of GIS technology |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | DigitalGlobe, Cyclomedia Technology, Apple, Navinfo, MapQuest, HERE Technologies, Microsoft, TomTom, Esri, Mapbox, Trimble, Pitney Bowes, Zenrin, Google, OpenStreetMap |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Increased demand for navigation apps, Growth in autonomous vehicle technologies, Expansion of location-based services, Rise in augmented reality applications, Integration with smart city initiatives |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 8.4% (2025 - 2035) |
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TwitterThe Digital Geologic-GIS Map of Sagamore Hill National Historic Site and Vicinity, New York 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 (sahi_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 (sahi_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 (sahi_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 (sahi_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sahi_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 (sahi_geology_metadata_faq.pdf). Please read the sahi_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: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sahi_geology_metadata.txt or sahi_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 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 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).
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Discover the booming 3D mapping and modeling software market! Learn about key trends, leading companies like Autodesk & Bentley, and projected growth to $45B by 2033. Explore market analysis, regional insights, and future projections for BIM, digital twins, and more.
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The Digital Map Market is estimated to be valued at USD 24.1 billion in 2025 and is projected to reach USD 90.5 billion by 2035, registering a compound annual growth rate (CAGR) of 14.1% over the forecast period.
| Metric | Value |
|---|---|
| Digital Map Market Estimated Value in (2025 E) | USD 24.1 billion |
| Digital Map Market Forecast Value in (2035 F) | USD 90.5 billion |
| Forecast CAGR (2025 to 2035) | 14.1% |
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The digital map market, currently valued at $25.55 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 13.39% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of location-based services (LBS) across diverse sectors like automotive, logistics, and smart city initiatives is a primary catalyst. Furthermore, advancements in technologies such as AI, machine learning, and high-resolution satellite imagery are enabling the creation of more accurate, detailed, and feature-rich digital maps. The shift towards cloud-based deployment models offers scalability and cost-effectiveness, further accelerating market growth. While data privacy concerns and the high initial investment costs for sophisticated mapping technologies present some challenges, the overall market outlook remains overwhelmingly positive. The competitive landscape is dynamic, with established players like Google, TomTom, and ESRI vying for market share alongside innovative startups offering specialized solutions. The segmentation of the market by solution (software and services), deployment (on-premise and cloud), and industry reveals significant opportunities for growth in sectors like automotive navigation, autonomous vehicle development, and precision agriculture, where real-time, accurate mapping data is crucial. The Asia-Pacific region, driven by rapid urbanization and technological advancements in countries like China and India, is expected to witness particularly strong growth. The market's future hinges on continuous innovation. We anticipate a rise in the demand for 3D maps, real-time updates, and integration with other technologies like the Internet of Things (IoT) and augmented reality (AR). Companies are focusing on enhancing the accuracy and detail of their maps, incorporating real-time traffic data, and developing tailored solutions for specific industry needs. The increasing adoption of 5G technology promises to further boost the market by enabling faster data transmission and real-time updates crucial for applications like autonomous driving and drone delivery. The development of high-precision mapping solutions catering to specialized sectors like infrastructure management and disaster response will also fuel future growth. Ultimately, the digital map market is poised for continued expansion, driven by technological advancements and increased reliance on location-based services across a wide spectrum of industries. Recent developments include: December 2022 - The Linux Foundation has partnered with some of the biggest technology companies in the world to build interoperable and open map data in what is an apparent move t. The Overture Maps Foundation, as the new effort is called, is officially hosted by the Linux Foundation. The ultimate aim of the Overture Maps Foundation is to power new map products through openly available datasets that can be used and reused across applications and businesses, with each member throwing their data and resources into the mix., July 27, 2022 - Google declared the launch of its Street View experience in India in collaboration with Genesys International, an advanced mapping solutions company, and Tech Mahindra, a provider of digital transformation, consulting, and business re-engineering solutions and services. Google, Tech Mahindra, and Genesys International also plan to extend this to more than around 50 cities by the end of the year 2022.. Key drivers for this market are: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Potential restraints include: Complexity in Integration of Traditional Maps with Modern GIS System. Notable trends are: Surge in Demand for GIS and GNSS to Influence the Adoption of Digital Map Technology.
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According to our latest research, the global mapping software market size reached USD 8.2 billion in 2024. Driven by accelerating digital transformation across industries, the market is poised for robust expansion, with a projected CAGR of 13.7% from 2025 to 2033. By the end of 2033, the mapping software market is forecasted to attain a value of USD 25.2 billion. This remarkable growth trajectory is underpinned by the increasing integration of geospatial data analytics, the proliferation of smart city initiatives, and the surging demand for real-time location intelligence across sectors such as transportation, urban planning, and disaster management.
One of the primary growth drivers for the mapping software market is the rapid adoption of geospatial technologies in both public and private sectors. Organizations are leveraging mapping software to enhance operational efficiency, optimize resource allocation, and gain actionable insights from complex spatial datasets. For example, the transportation and logistics industry relies heavily on mapping solutions for route optimization, fleet management, and real-time tracking, which significantly reduces operational costs and improves delivery timelines. Additionally, government agencies utilize mapping software for urban planning, land administration, and disaster response, enabling data-driven decision-making and more effective public service delivery. The continuous evolution of mapping software, with features such as 3D visualization, artificial intelligence integration, and cloud-based collaboration, is further catalyzing market growth.
Another significant factor propelling the mapping software market is the proliferation of Internet of Things (IoT) devices and the exponential growth of location-based services. The integration of IoT with mapping software enables real-time data collection and visualization, which is critical for applications such as smart cities, environmental monitoring, and asset tracking. Enterprises are increasingly adopting mapping solutions to visualize IoT sensor data on interactive maps, facilitating predictive maintenance, energy management, and risk assessment. Moreover, the rise of mobile mapping applications and the widespread availability of high-speed internet connectivity have democratized access to mapping technologies, empowering small and medium enterprises (SMEs) to harness spatial intelligence for business growth and innovation.
The mapping software market is also benefiting from strong investments in infrastructure development and the rising need for disaster management solutions. Governments and urban planners are deploying advanced mapping tools to model urban growth, assess environmental impact, and plan resilient infrastructure. In regions prone to natural disasters, mapping software plays a crucial role in risk assessment, emergency response coordination, and post-disaster recovery. The integration of satellite imagery, drone data, and real-time analytics is enhancing the accuracy and timeliness of mapping outputs, making them indispensable for disaster preparedness and mitigation. As climate change and urbanization continue to pose complex challenges, the demand for sophisticated mapping software is expected to escalate further.
Mapping and Navigation Software is increasingly becoming an integral component of the geospatial technology landscape. These software solutions are designed to provide precise navigation and mapping capabilities, which are essential for a wide range of applications, from urban planning to autonomous vehicle navigation. The ability to integrate real-time data from multiple sources, such as GPS, IoT devices, and satellite imagery, allows for the creation of dynamic and interactive maps that enhance situational awareness and decision-making. As industries continue to adopt digital transformation strategies, the demand for advanced mapping and navigation software is expected to grow, driving innovation and competition in the market. These solutions not only improve operational efficiency but also enable organizations to gain a competitive edge by leveraging spatial intelligence.
Regionally, North America leads the mapping software market, accounting for the largest share due to its early adoption of advanced geospatial technologies and the presence of major industry players. However, Asia Pacific is emerging as the
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TwitterThe Digital Geologic-GIS Map of Mount Rainier National Park, Washington 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 (mora_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 and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mora_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.) this file (mora_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mora_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 (mora_geology_metadata_faq.pdf). Please read the mora_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: http://www.google.com/earth/index.html. 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: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mora_geology_metadata.txt or mora_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 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 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). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth.
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TwitterThe Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida 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 (guis_geomorphology.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 (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.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 (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.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 (guis_geomorphology_metadata_faq.pdf). Please read the guis_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: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guis_geomorphology_metadata.txt or guis_geomorphology_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 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 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).