Web Mapping Market Outlook

The global web mapping market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach USD 8.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.8% during the forecast period. The robust growth of this market can be attributed to the increasing demand for geographic information system (GIS) technologies and the expanding applications of web mapping across various industries.

One of the primary growth factors driving the web mapping market is the proliferation of location-based services. With the rise of smartphones and IoT devices, the demand for real-time location data has skyrocketed, fueling the need for advanced web mapping solutions. Businesses are leveraging location-based services to enhance customer engagement, optimize logistics, and improve decision-making processes. Moreover, the integration of web mapping with emerging technologies such as AI and machine learning is further bolstering market growth, allowing for more sophisticated and predictive mapping capabilities.

Another critical factor contributing to the market's expansion is the growing adoption of web mapping solutions in government and public sector initiatives. Governments across the globe are increasingly utilizing web mapping technologies for urban planning, disaster management, and community services. These technologies provide invaluable insights and real-time data that aid in making informed decisions and improving public services. The push for smart city developments and the need for efficient infrastructure management are also significant drivers for the adoption of web mapping solutions in the public sector.

Furthermore, the transportation and logistics industry is witnessing a substantial uptake of web mapping technologies. With the rise of e-commerce and the need for efficient supply chain management, companies are relying on web mapping to optimize routes, monitor shipments, and ensure timely deliveries. The integration of GPS technology and real-time tracking systems with web mapping solutions is enhancing operational efficiencies and reducing costs. This trend is likely to continue as the demand for seamless logistics and transportation services grows.

The concept of an Electronic Map has become increasingly significant in the web mapping market. Electronic maps are digital representations of geographic areas and are pivotal in providing real-time data and location-based insights. They are extensively used in various applications, from navigation systems to urban planning and environmental monitoring. The integration of electronic maps with web mapping technologies allows for enhanced visualization and analysis of spatial data, offering users detailed and interactive geographic information. As the demand for digital mapping solutions continues to grow, electronic maps are playing a crucial role in transforming how geographic information is accessed and utilized across different sectors.

On the regional front, North America remains a dominant player in the web mapping market, primarily due to the early adoption of advanced technologies and the presence of major market players in the region. The Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, driven by rapid urbanization, technological advancements, and increasing investments in smart city projects. Europe and Latin America are also anticipated to witness significant growth, supported by favorable government initiatives and the expanding use of web mapping across various industries.

Component Analysis

The web mapping market can be segmented by component into software and services. The software segment encompasses a wide range of GIS and mapping software that enable users to create, visualize, and analyze geographic data. This segment is witnessing significant growth due to the increasing need for sophisticated mapping tools that offer real-time data and advanced analytical capabilities. Companies are continuously enhancing their software offerings with features like AI integration, cloud compatibility, and user-friendly interfaces, driving the adoption of web mapping software across various industries.

On the other hand, the services segment includes a variety of professional services such as consulting, implementation, and maintenance. As organizations seek to leverage web mapping technologies, they often require expert guidance and support to ensu

Methods: This lidar derivative provides information about the bare surface of the earth. The 2-foot resolution raster was produced from a ground classified 2020 Quality Level 1 lidar point cloud. This DTM is hyroflattened, meaning that water bodies are represented as flat surfaces. Hydroflattening improves the aesthetics of the DEM and is consistent with USGS’s 3-DEP specifications.

This DTM was derived by Sanborn and Tukman Geospatial using the following process:

QL1 airborne lidar point cloud collected countywide (Sanborn)Point cloud classification to assign ground points (Sanborn)Ground points were used to create over 8,000 1-foot resolution hydro-flattened Raster DSM tiles. Using automated scripting routines within LP360, a GeoTIFF file was created for each tile. Each 2,500 x 2,500 foot tile was reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. (Sanborn)1-foot hydroflattened DTM tiles mosaicked together into a 1-foot resolution mosaiced hydroflattened DTM geotiff (Tukman Geospatial)1-foot hydroflattened DTM (geotiff) resampled to 2-foot hydro-flattened DTM using Bilinear interpolation and clipped to county boundary with 250-meter buffer (Tukman Geospatial)2-foot hydroflattened raster DEM (geotiff) posted on ArcGIS Online (Tukman Geospatial)

The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, Feet and vertical datum of NAVD88 (GEOID18), Feet.

Lidar was collected in early 2020, while no snow was on the ground and rivers were at or below normal levels. To postprocess the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., utilized a total of 25 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area.

An additional 125 independent accuracy checkpoints, 70 in Bare Earth and Urban landcovers (70 NVA points), 55 in Tall Grass and Brushland/Low Trees categories (55 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.

Uses and Limitations: The DTM provides a raster depiction of the ground returns for each 2x2 foot raster cell across Santa Clara County. The layer is useful for hydrologic and terrain-focused analysis. The DTM will be most accurate in open terrain and less accurate in areas of very dense vegetation.

Related Datasets: This dataset is part of a suite of lidar of derivatives for Santa Clara County. See table 1 for a list of all the derivatives. Table 1. lidar derivatives for Santa Clara CountyDatasetDescriptionLink to DataLink to DatasheetCanopy Height ModelPixel values represent the aboveground height of vegetation and trees.https://vegmap.press/clara_chmhttps://vegmap.press/clara_chm_datasheetCanopy Height Model – Veg Returns OnlySame as canopy height model, but does not include lidar returns labelled as ‘unclassified’ (uses only returns classified as vegetation)https://vegmap.press/clara_chm_veg_returnshttps://vegmap.press/clara_chm_veg_returns_datasheetCanopy CoverPixel values represent the presence or absence of tree canopy or vegetation greater than or equal to 15 feet tall.https://vegmap.press/clara_coverhttps://vegmap.press/clara_cover_datasheetCanopy Cover – Veg Returns OnlySame as canopy height model, but does not include lidar returns labelled as ‘unclassified’ (uses only returns classified as vegetation)https://vegmap.press/clara_cover_veg_returnshttps://vegmap.press/clara_cover_veg_returns_datasheet HillshadeThis depicts shaded relief based on the Hillshade. Hillshades are useful for visual reference when mapping features such as roads and drainages and for visualizing physical geography. https://vegmap.press/clara_hillshadehttps://vegmap.press/clara_hillshade_datasheetDigital Terrain ModelPixel values represent the elevation above sea level of the bare earth, with all above-ground features, such as trees and buildings, removed. The vertical datum is NAVD88 (GEOID18).https://vegmap.press/clara_dtmhttps://vegmap.press/clara_dtm_datasheetDigital Surface ModelPixel values represent the elevation above sea level of the highest surface, whether that surface for a given pixel is the bare earth, the top of vegetation, or the top of a building.https://vegmap.press/clara_dsmhttps://vegmap.press/clara_dsm_datasheet

Soil is the foundation of life on earth. More living things by weight live in the soil than upon it. It determines what crops we can grow, what structures we can build, what forests can take root.This layer contains the physical soil variable percent clay (clay).Within the subset of soil that is smaller than 2mm in size, also known as the fine earth portion, clay is defined as particles that are smaller than 0.002mm, making them only visible in an electron microscope. Clay soils contain low amounts of air, and water drains through them very slowly.This layer is a general, medium scale global predictive soil layer suitable for global mapping and decision support. In many places samples of soils do not exist so this map represents a prediction of what is most likely in that location. The predictions are made in six depth ranges by soilgrids.org, funded by ISRIC based in Wageningen, Netherlands.Each 250m pixel contains a value predicted for that area by soilgrids.org from best available data worldwide. Data for percent clay are provided at six depth ranges from the surface to 2 meters below the surface. Each variable and depth range may be accessed in the layer's multidimensional properties.Dataset SummaryPhenomenon Mapped: Proportion of clay particles (< 0.002 mm) in the fine earth fraction in g/100g (%)Cell Size: 250 metersPixel Type: 32 bit float, converted from online data that is 16 Bit Unsigned IntegerCoordinate System: Web Mercator Auxiliary Sphere, projected via nearest neighbor from goode's homolosine land (250m)Extent: World land area except AntarcticaVisible Scale: All scales are visibleNumber of Columns and Rows: 160300, 100498Source: Soilgrids.orgPublication Date: May 2020Data from the soilgrids.org mean predictions for clay were used to create this layer. You may access the percent clay in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.Mean depth (cm)Actual depth range of data-2.50-5cm depth range-105-15cm depth range-22.515-30cm depth range-4530-60cm depth range-8060-100cm depth range-150100-200cm depth rangeWhat can you do with this Layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map: In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "world soils soilgrids" in the search box and browse to the layer. Select the layer then click Add to Map. In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "world soils soilgrids" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.More information about soilgrids layersAnswers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.This multidimensional soil collection serves the mean or expected value for each soil variable as calculated by soilgrids.org. For all other distributions of the soil variable, be sure to download the data directly from soilgrids.org. The data are available in VRT format and may be converted to other image formats within ArcGIS Pro.Accessing this layer's companion uncertainty layerBecause data quality varies worldwide, the uncertainty of the predicted value varies worldwide. A companion uncertainty layer exists for this layer which you can use to qualify the values you see in this map for analysis. Choose a variable and depth in the multidimensional settings of your map client to access the companion uncertainty layer.

Methods: The 2-foot resolution raster was produced from a ground classified 2020 Quality Level 1 lidar point cloud. This DSM was derived by Sanborn and Tukman Geospatial using the following process:QL1 airborne lidar point cloud collected countywide (Sanborn)Point cloud classification to assign ground points (Sanborn)First return points were used to create over 8,000 1-foot resolution hydro-flattened Raster DSM tiles. Using automated scripting routines within LP360, a GeoTIFF file was created for each tile. Each 2,500 x 2,500 foot tile was reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. (Sanborn)1-foot hydroflattened DSM tiles mosaicked together into a 1-foot resolution mosaiced hydroflattened DSM geotiff (Tukman Geospatial)1-foot hydroflattened DSM (geotiff) resampled to 2-foot hydro-flattened DSM using Bilinear interpolation and clipped to county boundary with 250-meter buffer (Tukman Geospatial)2-foot hydroflattened raster DEM (geotiff) posted on ArcGIS Online (Tukman Geospatial) The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, Feet and vertical datum of NAVD88 (GEOID18), Feet. Lidar was collected in early 2020, while no snow was on the ground and rivers were at or below normal levels. To postprocess the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., utilized a total of 25 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area.An additional 125 independent accuracy checkpoints, 70 in Bare Earth and Urban landcovers (70 NVA points), 55 in Tall Grass and Brushland/Low Trees categories (55 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.Uses and Limitations:The DSM provides a raster depiction of the first (surface) returns for each 2x2 foot raster cell across Santa Clara County. The DSM will be most accurate in open terrain and less accurate in areas of very dense vegetation.Related Datasets:This dataset is part of a suite of lidar of derivatives for Santa Clara County. See table 1 for a list of all the derivatives. Table 1. lidar derivatives for Santa Clara CountyDatasetDescriptionLink to DataLink to DatasheetCanopy Height ModelPixel values represent the aboveground height of vegetation and trees.https://vegmap.press/clara_chmhttps://vegmap.press/clara_chm_datasheetCanopy Height Model – Veg Returns OnlySame as canopy height model, but does not include lidar returns labelled as ‘unclassified’ (uses only returns classified as vegetation)https://vegmap.press/clara_chm_veg_returnshttps://vegmap.press/clara_chm_veg_returns_datasheetCanopy CoverPixel values represent the presence or absence of tree canopy or vegetation greater than or equal to 15 feet tall.https://vegmap.press/clara_coverhttps://vegmap.press/clara_cover_datasheetCanopy Cover – Veg Returns OnlySame as canopy height model, but does not include lidar returns labelled as ‘unclassified’ (uses only returns classified as vegetation)https://vegmap.press/clara_cover_veg_returnshttps://vegmap.press/clara_cover_veg_returns_datasheet HillshadeThis depicts shaded relief based on the Hillshade. Hillshades are useful for visual reference when mapping features such as roads and drainages and for visualizing physical geography. https://vegmap.press/clara_hillshadehttps://vegmap.press/clara_hillshade_datasheetDigital Terrain ModelPixel values represent the elevation above sea level of the bare earth, with all above-ground features, such as trees and buildings, removed. The vertical datum is NAVD88 (GEOID18).https://vegmap.press/clara_dtmhttps://vegmap.press/clara_dtm_datasheetDigital Surface ModelPixel values represent the elevation above sea level of the highest surface, whether that surface for a given pixel is the bare earth, the top of vegetation, or the top of a building.https://vegmap.press/clara_dsmhttps://vegmap.press/clara_dsm_datasheet

Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This map is designed to be used as a general reference map for informational and educational purposes as well as a basemap by GIS professionals and other users for creating web maps and web mapping applications.To launch a web map containing this map layer, click here.The map was developed by National Geographic and Esri and reflects the distinctive National Geographic cartographic style in a multi-scale reference map of the world. The map was authored using data from a variety of leading data providers, including Garmin, HERE, UNEP-WCMC, NASA, ESA, USGS, and others.This reference map includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings and landmarks, overlaid on shaded relief and land cover imagery for added context. The map includes global coverage down to ~1:144k scale and more detailed coverage for North America down to ~1:9k scale. Here's a ready-to-use web map that uses the National Geographic World Map as its basemap. Map Note: Although small-scale boundaries, place names and map notes were provided and edited by National Geographic, boundaries and names shown do not necessarily reflect the map policy of the National Geographic Society, particularly at larger scales where content has not been thoroughly reviewed or edited by National Geographic.Data Notes: The credits below include a list of data providers used to develop the map. Below are a few additional notes:Reference Data: National Geographic, Esri, Garmin, HERE, INCREMENT P, NRCAN, METILand Cover Imagery: NASA Blue Marble, ESA GlobCover 2009 (Copyright notice: © ESA 2010 and UCLouvain)Protected Areas: IUCN and UNEP-WCMC (2011), The World Database on Protected Areas (WDPA) Annual Release. Cambridge, UK: UNEP-WCMC. Available at: www.protectedplanet.net.Ocean Data: GEBCO, NOAA

When a natural disaster or disease outbreak occurs there is a rush to establish accurate health care location data that can be used to support people on the ground. This has been demonstrated by events such as the Haiti earthquake and the Ebola epidemic in West Africa. As a result valuable time is wasted establishing accurate and accessible baseline data. Healthsites.io establishes this data and the tools necessary to upload, manage and make the data easily accessible. Global scope The Global Healthsites Mapping Project is an initiative to create an online map of every health facility in the world and make the details of each location easily accessible. Open data collaboration Through collaborations with users, trusted partners and OpenStreetMap the Global Healthsites Mapping Project will capture and validate the location and contact details of every facility and make this data freely available under an Open Data License (ODBL). Accessible The Global Healthsites Mapping Project will make the data accessible over the Internet through an API and other formats such as GeoJSON, Shapefile, KML, CSV. Focus on health care location data The Global Healthsites Mapping Project's design philosophy is the long term curation and validation of health care location data. The healthsites.io map will enable users to discover what healthcare facilities exist at any global location and the associated services and resources.

This data release consists of a sequence of optical images extracted from a high frame rate video and used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 24, 2019, along with field measurements of flow velocity used to assess the accuracy of image-derived velocity estimates. The images were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The original video was recorded at 30 frames per second while the helicopter hovered in a fixed location approximately 600 m above the river, but the image sequence was extracted at a rate of 10 frames per second (10 Hz). The original images were not geo-referenced and had to be stabilized to account for motion of the helicopter platform during acquisition. Image stabilization was performed using the TrakEM2 plugin to the ImageJ software package. The stablized image sequence was then geo-referenced in the Global Mapper software package using tie points selected from an online satellite image accessed through Global Mapper as well as surveyed ground control targets placed in the field and visible within the images. A spatial transformation based on these tie points and control points was derived in MATLAB and then applied to the images to project them into the UTM Zone 6N, NAD83 coordinate system. The resulting geo-referenced images had a spatial resolution (pixel size) of 0.15 m and effectively stabilized the image sequence prior to PIV analysis. The images were converted to grayscale and saved as TIF files with corresponding world files (*.tfw) that contain the spatial referencing information for each image. The sequence consists of 685 individual images representing over one minute of data collection. The entire sequnce of TIF images and worldfiles is contained within a zip archive.

The global GIS mapping tools market is experiencing robust growth, driven by increasing demand across diverse sectors. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 10% from 2025 to 2033, reaching approximately $39 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of cloud-based GIS solutions offers enhanced accessibility, scalability, and cost-effectiveness, particularly appealing to smaller organizations. Secondly, the burgeoning need for precise spatial data analysis in various applications, including urban planning, geological exploration, and water resource management, significantly contributes to market growth. Thirdly, advancements in technologies such as AI and machine learning are integrating into GIS tools, leading to more sophisticated analytical capabilities and improved decision-making. Finally, the increasing availability of high-resolution satellite imagery and other geospatial data further fuels market expansion. However, market growth is not without challenges. High initial investment costs associated with implementing and maintaining sophisticated GIS systems can pose a barrier to entry for smaller businesses. Furthermore, the complexity of GIS software and the need for specialized skills to operate and interpret data effectively can limit widespread adoption. Despite these restraints, the market’s overall trajectory remains positive, with the cloud-based segment projected to maintain a dominant market share due to its inherent advantages. Growth will be geographically diverse, with North America and Europe continuing to be significant markets, while Asia-Pacific is expected to experience the fastest growth due to rapid urbanization and infrastructure development. The continued development of user-friendly interfaces and increased integration with other business intelligence tools will further accelerate market expansion in the coming years.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Global-Mapping-International.

This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) and the online Data Users Guide.

These data were generated using 4,453,989 scenes from Landsat 5, 7, and 8 acquired between 16 March 1984 and 31 December 2020. Each pixel was individually classified into water / non-water using an expert system and the results were collated into a monthly history for the entire time period and two epochs (1984-1999, 2000-2020) for change detection.

This mapping layers product consists of 1 image containing 7 bands. It maps different facets of the spatial and temporal distribution of surface water over the last 35 years. Areas where water has never been detected are masked.

Digital Map Market Outlook

The global digital map market size was valued at approximately USD 15.1 billion in 2023 and is forecasted to reach around USD 32.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.9%. This remarkable growth can be attributed to increasing demand from various sectors such as automotive navigation, mobile and internet applications, and public sector agencies. The integration of advanced technologies such as AI and IoT in digital mapping solutions is significantly driving the market.

One of the primary growth factors for the digital map market is the rapid advancement in geospatial technology. The rise in smart city initiatives across the globe is creating substantial demand for digital mapping solutions. These smart city projects require detailed and accurate digital maps for efficient urban planning and management, which is fueling market growth. Additionally, the growing adoption of IoT devices and connected systems in various sectors necessitates real-time mapping solutions, thereby driving the market demand.

The burgeoning automotive sector, particularly the increasing adoption of autonomous and connected vehicles, is another critical growth driver. Autonomous vehicles rely heavily on precise digital maps for navigation and safety, making digital mapping an integral component of the automotive industry. The continuous innovation in automotive technology and the push towards fully autonomous vehicles will undoubtedly stimulate demand for advanced digital mapping solutions over the forecast period.

The proliferation of mobile and internet applications that require location-based services is also a significant contributing factor. Applications such as ride-hailing, delivery services, and augmented reality (AR) games depend on accurate and real-time digital maps to provide seamless user experiences. The expansion of 5G networks is expected to enhance the functionality and reliability of these applications, further boosting the digital map market.

Web Mapping has emerged as a pivotal technology in the digital map market, transforming how geographic information is accessed and utilized. This technology allows users to interact with maps over the internet, providing real-time updates and detailed spatial data. The convenience and accessibility of web mapping have made it indispensable for applications such as urban planning, environmental monitoring, and disaster management. By enabling users to visualize and analyze geographic data online, web mapping facilitates informed decision-making and enhances operational efficiency across various sectors. Its integration with cloud computing and AI technologies further amplifies its capabilities, offering scalable and intelligent mapping solutions that cater to the dynamic needs of modern industries.

Regionally, North America is currently the leading market for digital maps, driven by advanced technology infrastructure and significant investments in smart city projects. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period due to rapid urbanization, increasing smartphone penetration, and government initiatives towards digitalization in emerging economies like China and India.

Component Analysis

The digital map market can be broadly segmented based on components, which include software and services. The software segment is expected to dominate the market due to continuous innovations and updates in mapping software. These software solutions offer enhanced features such as real-time data analytics, 3D mapping, and AI-based predictive analysis, making them highly desirable across various industries. The demand for software solutions is further propelled by the need for accurate, dynamic, and interactive maps.

On the other hand, the services segment, though smaller in market share compared to software, is experiencing steady growth. This segment includes services such as data management, consulting, and maintenance. As businesses increasingly rely on digital maps for critical operations, the demand for professional services to manage and optimize these solutions is growing. Enterprises often require tailored mapping solutions, which necessitates expert consulting and ongoing support, thereby driving the services market.

In terms of adoption, the software component is witnessing widespread utilization in sectors like automotive, mobile and internet

The global GIS mapping tools market is experiencing robust growth, driven by increasing demand across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated market value of approximately $45 billion by 2033. Key drivers include the rising adoption of cloud-based GIS solutions, enhanced data analytics capabilities, the proliferation of location-based services, and the growing need for precise spatial data analysis in various industries like urban planning, geological exploration, and water resource management. The market is segmented by application (Geological Exploration, Water Conservancy Projects, Urban Planning, Others) and type (Cloud-based, Web-based). Cloud-based solutions are gaining significant traction due to their scalability, accessibility, and cost-effectiveness. The increasing availability of high-resolution satellite imagery and advancements in artificial intelligence (AI) and machine learning (ML) are further fueling market expansion. While data security concerns and the high initial investment costs for some advanced solutions present restraints, the overall market outlook remains positive, with significant opportunities for both established players and emerging technology providers. Geographical expansion is another key aspect of market growth. North America and Europe currently hold a significant market share, owing to established GIS infrastructure and early adoption of advanced technologies. However, the Asia-Pacific region is expected to witness rapid growth in the coming years, driven by rising government investments in infrastructure development and increasing urbanization in countries like China and India. Competitive dynamics are shaping the market, with major players like Esri, Autodesk, Hexagon, and Mapbox competing on the basis of software features, data integration capabilities, and customer support. The emergence of open-source GIS solutions like QGIS and GRASS GIS is also challenging the dominance of proprietary software, offering cost-effective alternatives for various applications. The continued development and integration of advanced technologies like 3D mapping, real-time data visualization, and location intelligence will further enhance the capabilities of GIS mapping tools, driving market expansion and innovation across various sectors.

In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

Soil is the foundation of life on earth. More living things by weight live in the soil than upon it. It determines what crops we can grow, what structures we can build, what forests can take root.This layer contains the chemical soil variable nitrogen (nitrogen).Nitrogen is an essential nutrient for sustaining life on Earth. Nitrogen is a core component of amino acids, which are the building blocks of proteins, and of nucleic acids, which are the building blocks of genetic material (RNA and DNA).This layer is a general, medium scale global predictive soil layer suitable for global mapping and decision support. In many places samples of soils do not exist so this map represents a prediction of what is most likely in that location. The predictions are made in six depth ranges by soilgrids.org, funded by ISRIC based in Wageningen, Netherlands.Each 250m pixel contains a value predicted for that area by soilgrids.org from best available data worldwide. Data for nitrogen are provided at six depth ranges from the surface to 2 meters below the surface. Each variable and depth range may be accessed in the layer's multidimensional properties.Dataset SummaryPhenomenon Mapped: Total nitrogen (N) in g/kgCell Size: 250 metersPixel Type: 32 bit float, converted from online data that is 16 Bit Unsigned IntegerCoordinate System: Web Mercator Auxiliary Sphere, projected via nearest neighbor from goode's homolosine land (250m)Extent: World land area except AntarcticaVisible Scale: All scales are visibleNumber of Columns and Rows: 160300, 100498Source: Soilgrids.orgPublication Date: May 2020Data from the soilgrids.org mean predictions for nitrogen were used to create this layer. You may access nitrogen values in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.Mean depth (cm)Actual depth range of data-2.50-5cm depth range-105-15cm depth range-22.515-30cm depth range-4530-60cm depth range-8060-100cm depth range-150100-200cm depth rangeWhat can you do with this Layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map: In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "world soils soilgrids" in the search box and browse to the layer. Select the layer then click Add to Map. In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "world soils soilgrids" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.More information about soilgrids layersAnswers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.This multidimensional soil collection serves the mean or expected value for each soil variable as calculated by soilgrids.org. For all other distributions of the soil variable, be sure to download the data directly from soilgrids.org. The data are available in VRT format and may be converted to other image formats within ArcGIS Pro.Accessing this layer's companion uncertainty layerBecause data quality varies worldwide, the uncertainty of the predicted value varies worldwide. A companion uncertainty layer exists for this layer which you can use to qualify the values you see in this map for analysis. Choose a variable and depth in the multidimensional settings of your map client to access the companion uncertainty layer.

A new and open real-time index to track Interstate Conflictual Relations. A partnership between Asia Centre and SKEMA Business School DiploMatrix emerged from a groundbreaking collaboration between Asia Centre and SKEMA Business School, introducing a novel "Interstate Conflictual Relations Index" designed to monitor geopolitical tensions across the globe in real-time. Leveraging the Global Data on Events, Location, and Tone (GDELT) database, DiploMatrix employs automatic coding of media news to offer insights into both verbal and material conflicts between countries. Its comprehensive coverage extends to virtually all country pairs worldwide from 2015, providing stakeholders with a cutting-edge tool for assessing geopolitical dynamics. The index not only tracks the escalation of tensions but also differentiates between verbal disputes and physical confrontations, presenting a nuanced view of international relations. Initiated in 1991 with historical data, DiploMatrix is continuously updated to reflect the latest developments, offering a timely and detailed geopolitical landscape. Its unique ability to signal potential escalations makes it an invaluable resource for understanding the impact of interstate conflicts on global trade, capital flows, and the broader economy.

According to Cognitive Market Research, the global Mind Mapping Tool market size will be USD 5124.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.80% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 2049.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.0% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1537.35 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1178.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.8% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 256.23 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 102.49 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.5% from 2024 to 2031.
The Cloud-based category is the fastest growing segment of the Mind Mapping Tool industry

Market Dynamics of Mind Mapping Tool Market

Key Drivers for Mind Mapping Tool Market

Increasing Adoption of Digital Tools for Enhanced Productivity and Organization to Boost Market Growth

The increasing adoption of digital tools for enhanced productivity and organization has been a major driver in many industries, especially in the context of digital transformation. Digital tools enable businesses and individuals to automate repetitive tasks, streamline workflows, and manage time more effectively, significantly enhancing overall productivity. Although many digital tools offer long-term savings, the initial investment in licenses, training, and setup can be a barrier, especially for small businesses or individuals with limited resources. While the adoption of digital tools offers significant benefits, such as enhanced productivity, cost savings, and improved collaboration, businesses must carefully manage the associated challenges, including high costs, security concerns, and integration complexities. Addressing these restraints while leveraging the key drivers will be essential for organizations looking to integrate digital tools into their operations successfully.

Rising demand for visual representation to improve brainstorming and creativity

The rising demand for visual representation to improve brainstorming and creativity is driven by several key factors. Visual tools enhance information retention and idea generation, making complex concepts easier to understand. The growing adoption of digital collaboration platforms fuels this demand as remote teams seek efficient ways to share ideas. Additionally, the increased focus on innovation and creative problem-solving in businesses accelerates the use of visual aids like mind maps, flowcharts, and interactive diagrams. This trend is further supported by advancements in software tools that allow real-time visualization, fostering greater collaboration, faster decision-making, and enhanced creativity.

Restraint Factor for the Mind Mapping Tool Market

Expensive software integration limits widespread adoption in businesses

The high cost of software integration is a major restraint limiting widespread adoption among businesses. The initial expenses, including licensing, implementation, and ongoing maintenance, can be prohibitive, especially for small to medium-sized enterprises (SMEs). Additionally, the need for specialized personnel and training further adds to the financial burden. Businesses may delay or avoid adoption to allocate resources elsewhere, affecting their ability to remain competitive. The complexity and time required to integrate new software into existing systems can also deter companies, as it may disrupt operations and incur additional costs, limiting scalability and overall ROI.

Impact of Covid-19 on the Mind Mapping Tool Market

The COVID-19 pandemic significantly accelerated the adoption of mind-mapping tools. Remote work and online learning necessitated efficient tools for brainstorming, note-taking, and project management. Mind mapping tools offer a visual and intuitive way to organize information, collaborate remotely, and enhance productivity. This surge in demand drove mar...

Mapping Software Market Outlook

The global mapping software market size was valued at approximately USD 5.7 billion in 2023 and is projected to reach USD 11.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.1% during the forecast period. The growth of this market is driven by the increasing need for spatial data in various industries, advancements in geographic information system (GIS) technology, and the growing trend of digitalization across different sectors.

One of the primary growth factors in the mapping software market is the rising demand for location-based services (LBS). These services are essential for numerous applications, from navigation and route planning to marketing and asset tracking. The proliferation of smartphones and wearable devices equipped with GPS has significantly boosted the use of LBS, thereby driving the demand for advanced mapping software. Furthermore, businesses are increasingly leveraging spatial data to enhance decision-making processes, optimize operations, and improve customer experiences, all of which contribute to the market's expansion.

Another significant driver is the increasing usage of mapping software in urban planning and smart city initiatives. With the global urban population expected to rise continuously, cities are turning to technology to manage resources efficiently, ensure sustainable development, and improve the quality of life for residents. Mapping software plays a crucial role in urban planning by providing detailed spatial data, enabling planners to visualize and analyze various urban scenarios, plan infrastructure development, and manage urban growth effectively. Additionally, governments are investing heavily in smart city projects, creating a substantial demand for sophisticated mapping tools.

Technological advancements in GIS and remote sensing technologies are also fueling the growth of the mapping software market. Innovations such as 3D mapping, real-time data integration, and cloud-based GIS solutions have expanded the capabilities and applications of mapping software. These advancements allow for more accurate and comprehensive spatial analysis, facilitating better decision-making and problem-solving in numerous fields, including environmental monitoring, disaster management, and transportation planning. Moreover, the integration of artificial intelligence (AI) and machine learning (ML) with mapping software is further enhancing its functionality, enabling predictive analytics and automated data processing.

Regionally, North America holds a significant share of the mapping software market, driven by the widespread adoption of advanced technologies and the presence of major market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to rapid urbanization, increasing investments in infrastructure development, and the growing adoption of digital solutions across various sectors. Europe also presents substantial growth opportunities due to the increasing focus on smart city projects and environmental sustainability initiatives.

Component Analysis

The mapping software market is segmented by component into software and services. The software segment is further categorized into desktop, web-based, and mobile software, each catering to different user needs and preferences. Desktop software continues to be widely used due to its robust functionalities and ability to handle complex spatial data analysis. Web-based software, on the other hand, offers flexibility and ease of access, making it popular among users who require real-time data and collaboration capabilities. Mobile mapping software is gaining traction, especially among field workers and on-the-go professionals, due to its portability and convenience.

Services in the mapping software market encompass a range of offerings, including consulting, implementation, training, and support services. Consulting services are essential for organizations looking to integrate mapping software into their existing systems and workflows. Implementation services ensure the smooth deployment and customization of software solutions to meet specific business requirements. Training services are crucial for enhancing user proficiency and maximizing the software's potential, while support services provide necessary technical assistance and software maintenance. The growing complexity of spatial data applications and the need for expert guidance are driving the demand for these services.

The software segment dominates the mapping softwar

Mobile Mapping Market Outlook

The global mobile mapping market size was valued at USD 24 billion in 2023 and is projected to reach USD 78 billion by 2032, growing at a compound annual growth rate (CAGR) of 14%. The market growth is largely driven by the increasing adoption of mobile mapping technologies in various industries such as transportation, logistics, and public sector services. The exponential growth of mobile and internet technologies has paved the way for advanced mapping solutions that provide real-time data and analytics.

The surge in demand for accurate and efficient geospatial data is a primary growth factor for the mobile mapping market. Industries ranging from transportation to telecommunications are continuously seeking advanced technologies to enhance operational efficiency and customer service. Mobile mapping solutions, equipped with high-resolution sensors and advanced software, offer unparalleled accuracy and speed, enabling industries to make informed decisions. Furthermore, the increasing integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies with mobile mapping systems is fueling the growth of this market. IoT devices provide a constant stream of data, while AI algorithms enhance data processing, making mobile mapping systems more robust and versatile.

Another significant growth driver is the rising importance of location-based services in todayÂ’s connected world. Location-based services rely heavily on accurate and real-time geospatial data, which mobile mapping technologies are adept at providing. From navigation applications to location-based advertising, the need for precise mapping solutions is becoming more critical. The proliferation of smart cities further accelerates the demand for mobile mapping, as urban planners require detailed and up-to-date maps for infrastructure development, traffic management, and emergency response. Additionally, the increasing use of mobile mapping in disaster management and environmental monitoring is opening new avenues for market expansion.

The growing investments in infrastructure development and the modernization of existing systems are also driving market growth. Governments and private organizations are investing heavily in the development of advanced mapping technologies to support various applications such as urban planning, infrastructure development, and environmental conservation. The adoption of mobile mapping solutions in the construction and real estate sectors is further contributing to market growth. These solutions provide accurate spatial data, enabling planners and developers to design and execute projects more efficiently. Furthermore, advancements in sensor technologies and the availability of high-speed data connectivity are enhancing the capabilities of mobile mapping systems, making them more reliable and efficient.

The integration of a Map Positioning Unit within mobile mapping systems is becoming increasingly significant. These units are essential for enhancing the precision and reliability of geospatial data collection. By providing accurate positioning information, Map Positioning Units ensure that the data collected is consistent and precise, which is crucial for applications such as urban planning, transportation, and logistics. The demand for these units is growing as industries seek to improve the accuracy of their mapping solutions. With advancements in technology, Map Positioning Units are becoming more compact and efficient, making them easier to integrate into existing systems. This integration is particularly beneficial for sectors that require high levels of accuracy and real-time data, such as smart city projects and disaster management. As the mobile mapping market continues to expand, the role of Map Positioning Units will become even more pivotal in driving innovation and efficiency.

Regionally, North America holds a significant share of the mobile mapping market, driven by advanced technological infrastructure and high adoption rates of new technologies. The presence of major market players and extensive research and development activities contribute to the region's market dominance. Europe follows closely, with substantial investments in smart city projects and infrastructure development. The Asia-Pacific region is expected to witness the highest growth rate during the forecast period, attributed to rapid urbanization, increasing investments in infrastructure, and growing adoption of advanced technologies. Latin America and the Middle East & Africa regions are also experiencing stea

Cloud-Based Mapping Service Market Outlook

The global cloud-based mapping service market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach around USD 8.9 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.2% during the forecast period. This remarkable growth is primarily driven by the increasing demand for real-time data access and navigation services across various sectors. Businesses and governments worldwide are increasingly leveraging cloud-based mapping services to optimize operations, improve customer experience, and enhance decision-making processes. The seamless integration of advanced technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) in mapping services is further boosting this market's expansion.

The integration of AI with cloud-based mapping services is one of the key growth factors for this market. AI technologies enhance the capabilities of cloud-based mapping services by providing intelligent insights and predictive analytics. For instance, AI can analyze traffic patterns and predict congestion, offering alternative routes and optimal travel paths. This is particularly beneficial for the transportation and logistics sectors, where time is of the essence. Furthermore, AI-driven mapping services can assist businesses in understanding consumer behavior and preferences, allowing for targeted marketing strategies and improved customer engagement. The ability of AI to process massive datasets quickly and accurately makes it a valuable tool in the cloud-based mapping service industry.

Another significant factor contributing to market growth is the rising adoption of IoT devices. IoT devices generate a vast amount of location-based data that can be effectively managed and utilized through cloud-based mapping services. These services enable businesses to track and monitor assets, vehicles, and personnel in real-time, leading to improved operational efficiency and reduced costs. For example, in the logistics sector, companies can use cloud-based mapping services to optimize delivery routes and monitor vehicle conditions, thereby minimizing fuel consumption and enhancing customer satisfaction. The continuous evolution and proliferation of IoT devices are expected to drive further demand for cloud-based mapping services in the coming years.

The increasing reliance on mobile devices and the proliferation of high-speed internet connectivity are also significant growth drivers for the cloud-based mapping service market. With the widespread use of smartphones and tablets, consumers and businesses alike are accessing mapping services on-the-go, necessitating reliable cloud-based solutions. The availability of high-speed internet ensures seamless connectivity and real-time updates, enhancing user experience. This trend is particularly prominent in urban areas, where demand for navigation and location-based services is high. As mobile technology continues to evolve and internet infrastructure improves worldwide, the cloud-based mapping service market is poised for substantial growth.

The rise of URL Shortening Services has become increasingly relevant in the context of cloud-based mapping services. These services allow users to condense lengthy URLs into shorter, more manageable links, which is particularly useful for sharing location-based information. In industries such as logistics and transportation, where quick access to precise location data is crucial, URL shortening can streamline communication and improve efficiency. By integrating URL shortening with mapping services, businesses can enhance their digital marketing strategies and facilitate easier sharing of maps and navigation routes. This integration not only improves user experience but also supports the growing demand for seamless digital interactions in the mapping service market.

Service Type Analysis

The cloud-based mapping service market is segmented into several service types, each offering unique features and benefits to users. Mapping and navigation services are perhaps the most widely recognized and utilized among these. They provide users with detailed maps, directions, and navigation assistance, which are crucial for both consumers and businesses. These services cater to a wide array of applications, from personal navigation to complex logistics operations. As the demand for precise, real-time navigation grows, mapping and navigation services continue to be at the forefront of the cloud-based mapping industry. Their integrat

Marcus Weather Mapping (MWM) is an online, global weather / data mapping, visualization application that offers some unique features that no other current weather mapping system provides.

Below we highlight some features of MWM:

• Weather forecast and observational information updated every 6 hours • Non-static mapping - the ability to pan and zoom (to expose the highest level of station detail), a globally unique feature to Marcus Weather Mapping • Display preset areas OR build your own custom regions – again a feature unique to Marcus Weather Mapping
• Mapping variables include total precipitation, % normal precipitation, precipitation climatology, average/maximum/minimum temperature/temperature departures, GDDs, HDDs and CDDs (and departures) + others • Custom or pre-selected calendar dates (such as 5/10 days forward or 60/30 days back) up to a 180 day window • Historical Data selection - currently available from 2010, but will soon be adding data back to 2000 • The Yearly Comparison Tool, the ability to compare a weather variable for a user selected time period, against the same time period from a selected year – showing the difference between years • The Forecast Comparison Tool, the ability to compare forecast data from a previous forecast, to the current forecast, showing how the forecast has changed • Other mapping options include, map build speed, display density, choice of unit designation, coloring options, map contours, weather overlay opacity and map base layer options • A screenshot button for the current map created, weather fixed or zoomed • Satellite Imagery, Including: Normalized Difference Vegetation Index (NDVI), Vegetation Health Index (VHI), Thermal Condition Index (TCI) and Moisture Condition Index (VCI). Map Satellite Images for both preset AND user defined mapping areas. • Global Surface Soil Moisture, Root Zone Soil Moisture, Surface Soil Temperature, 10cm Subsurface Soil Temperature, 20cm Subsurface Soil Temperature. • Satellite Imagery Comparison Tool (SICT) – Compare any satellite image to another from a different time period, assessing change between the two satellite images. The SICT comes in two presentation modes, color change and Improve/Deteriorate View • MWM twitter, keeping users up to date of changes, improvements, bugs and other announcements – the twitter feedback be found here: MWM Twitter - https://twitter.com/MWMapping