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.

This is the GIS Project for the ASEBIO WebGIS.Here you can find all the spatial data for the 8 Ecosystem Services and also the Stakeholders' Perception Supply Potential. For more information about the data, please visit our website and WebGIS.

      Notice that this is a project package that only works within the ArcGIS Pro Desktop Software.

Students in geographic information systems and science (GIS) require significant experience outside of spatial analysis, cartography, and other traditional geographic topics. Computer science knowledge, skills, and practices exist as essential components of GIS practice, but coursework in this area is not universally offered in geography or GIS degrees. To support those interested in developing such courses, this paper describes the design and implementation of a server-focused course in WebGIS at University Texas A&M University. We provide an in-depth discussion of the equipment and resources required to build and operate an on-premise CyberGIS server infrastructure suitable for supporting such classes, providing comparisons with an equivalent solution built on Amazon Web Services (AWS). We consider the comparative costs of these systems, including benefits and drawbacks of each. In comparing these deployment options, we outline the technical expertise, monetary investments, operational expenses, and organizational strategies necessary to run server-based CyberGIS courses. Finally, we reflect on assignments and feedback from students and consider their experiences in a course of this nature. This article provides a resource for GIS instructors, academic departments, or other academic units to consider during infrastructure investment, curriculum redesign, the addition of courses in degree plans, or for the development of CyberGIS components.

Interactive map that displays development applications for properties in the City of Hamilton

Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.

Metadata record for the webGIS website; link in record. WebGIS.com presently contains extensive map coverage for technical applications including Air Dispersion Modeling, Human Health & Ecological Risk Assessment and Terrain Processing. These maps are ready for download in various formats, to facilitate your modeling, including digital terrain, land use and digital line shapefiles.

The Spatiotemporal Big Data Store Tutorial introduces you the the capabilities of the spatiotemporal big data store in ArcGIS Data Store, available with ArcGIS Enterprise. Observation data can be moving objects, changing attributes of stationary sensors, or both. The spatiotemporal big data store enables archival of high volume observation data, sustains high velocity write throughput, and can run across multiple machines (nodes). Adding additional machines adds capacity, enabling you to store more data, implement longer retention policies of your data, and support higher data write throughput.

After completing this tutorial you will:

Understand the concepts and best practices for working with the spatiotemporal big data store available with ArcGIS Data Store. Have configured the appropriate security settings and certificates on a enterprise server, real-time server, and a data server which are necessary for working with the spatiotemporal big data store. Have learned how to process and archive large amounts of observational data in the spatiotemporal big data store. Have learned how to visualize the observational data that is stored in the spatiotemporal big data store.

Releases

Each release contains a tutorial compatible with the version of GeoEvent Server listed. The release of the component you deploy does not have to match your version of ArcGIS GeoEvent Server, so long as the release of the component is compatible with the version of GeoEvent Server you are using. For example, if the release contains a tutorial for version 10.6; this tutorial is compatible with ArcGIS GeoEvent Server 10.6 and later. Each release contains a Release History document with a compatibility table that illustrates which versions of ArcGIS GeoEvent Server the component is compatible with.

NOTE: The release strategy for ArcGIS GeoEvent Server components delivered in the ArcGIS GeoEvent Server Gallery has been updated. Going forward, a new release will only be created when

  a component has an issue,
  is being enhanced with new capabilities,
  or is not compatible with newer versions of ArcGIS GeoEvent Server.

This strategy makes upgrades of these custom
components easier since you will not have to
upgrade them for every version of ArcGIS GeoEvent Server
unless there is a new release of
the component. The documentation for the
latest release has been
updated and includes instructions for updating
your configuration to align with this strategy.

Latest

Release 4 - February 2, 2017 - Compatible with ArcGIS GeoEvent Server 10.5 and later.

Previous

Release 3 - July 7, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

Release 2 - May 17, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

Release 1 - March 18, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

Web GIS GeoProcessor (http://www.geo.iitp.ru/app.php?link=gis:geoproc2) is targeted to perform analysis of spatial geographic information as well as to solve problems of spatial forecasting. The field of application comprises spatial-data analysis, geological environment research and decision-making support in such problems as seismic hazard assessment and environmental zonation. Analytical abilities of GIS are supplemented by visual research methods, vector and grid-based data calculations, operations of spatial forecasting and pattern recognition, etc. Considering examples of earthquake damage assessment, seismic hazard analysis, geophysical properties forecasting, GeoProcessor 2.0 proved to be an effective tool for fundamental and applied problem investigation.

The Spatial Data Explorer brings together data relevant for the assessment of London’s Water Environment from various data providers, such as the Environment Agency, BGS, the Rivers Trust, Ordnance Survey and others. This data is grouped in the following themes:

• Administrative boundaries
• Green Infrastructure/SuDS
• Landscape
• Pollutant Risks
• Rivers, Catchments and Flooding
• River Scour
• Socio-Economic-Data
• Water Quality
• Water Resources

The Water Data Explorer also allows users to visualise these datasets alongside their own data, which can be added to the webmap in various formats

Geoportal implemented in the framework of the CoCoNet Project to manage multidisciplinary spatial data at Mediterrnean Sea and Black Sea scales

WebGIS Portal of the Municipality of Certaldo

This is a webGIS created with OregonView and AmericaView support that enables users to download bathymetric digital elevation models (DEMs) derived from Landsat 8 and Sentinel-2 imagery, using reference bathymetry provided by ICESat-2.

In April 2016, local and regional North Slope manager perspectives were collected on usability of a beta version shoreline change risk WebGIS developed for the Arctic Slope covering the National Petroleum Reserve - Alaska (NPR-A) and the Arctic National Wildlife Refuge (ANWR). The WebGIS is a collaborative effort with the North Slope Borough (NSB). Transcripts from the audio recorded workshop were stored in a MS Excel file. The purpose of the data set is to assess usability of the WebGIS as a formative evaluation effort to develop a shoreline change risk WebGIS for Alaska's Arctic Slope using a collaborative mapping and Instructional Systems Design (ISD) process.

Starting from the data measured through laboratory tests during 2020 and 2021, a set of parameters have been evaluated. Each day of analysis has been associated to a class, basing on thementioned values. In such a way it was possible to compute the percentage of times in which the water from a specific plant has been in the different classes . Collecting the data measured in each plant, the four classes have been defined setting limit values of these parameters. a set of rules was defined in order to identify the dominant water quality class for each WWT plant, based on the previously obtained percentages. :•If the effluent falls in water quality class A at least 90% of the time →the dominant class for that plant is A. •If the effluent falls in water quality class A less than 90% of the time AND 0% of the time in class D →the dominant class for that plant is B. •If the effluent falls in water quality class A less than 90% of the time AND below 10% in class D →the dominant class for that plant is C. •If the effluent fallsin water quality class D more than 10% of the time →the dominant class for that plant is D. This allowed a classification of the available WWTPs according to their dominant class and, thus, application of the EU regulation 2020/741. Therefore, for each WWTP, the WebGIS can show what crop types can be irrigated with their effluent, as well as the allowed irrigation method/s

Computerised Map System of the Marche Region. WebGIS with a map of the Regional Technical Charter where the following themes are represented:

Themes of the Regional Technical Charter: — Toponyomastics — Punctual elements — Linear elements — Built — Hydrography — Texts quota — Quota points — Orography Framing sections at 1:10,000 Administrative limits Administrative domains Landscaping Constraints: — Natural beauties — Galassini Bases Raster: — DTM — CTR raster B/N

.rar file containing the customized code used for our instance of the CMV App Viewer. CMV App Viewer is an open source mapping framework under MIT license, as is, in consequence, the derivated instance.

Number of geoportals found from a sample of 998 municipalities and 27 states from Brazil.

Geographic Information System (GIS) Software Market Outlook

The global Geographic Information System (GIS) software market size is projected to grow from USD 9.1 billion in 2023 to USD 18.5 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.5% over the forecast period. This growth is driven by the increasing application of GIS software across various sectors such as agriculture, construction, transportation, and utilities, along with the rising demand for location-based services and advanced mapping solutions.

One of the primary growth factors for the GIS software market is the widespread adoption of spatial data by various industries to enhance operational efficiency. In agriculture, for instance, GIS software plays a crucial role in precision farming by aiding in crop monitoring, soil analysis, and resource management, thereby optimizing yield and reducing costs. In the construction sector, GIS software is utilized for site selection, design and planning, and infrastructure management, making project execution more efficient and cost-effective.

Additionally, the integration of GIS with emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) is significantly enhancing the capabilities of GIS software. AI-driven data analytics and IoT-enabled sensors provide real-time data, which, when combined with spatial data, results in more accurate and actionable insights. This integration is particularly beneficial in fields like smart city planning, disaster management, and environmental monitoring, further propelling the market growth.

Another significant factor contributing to the market expansion is the increasing government initiatives and investments aimed at improving geospatial infrastructure. Governments worldwide are recognizing the importance of GIS in policy-making, urban planning, and public safety, leading to substantial investments in GIS technologies. For example, the U.S. governmentÂ’s Geospatial Data Act emphasizes the development of a cohesive national geospatial policy, which in turn is expected to create more opportunities for GIS software providers.

Geographic Information System Analytics is becoming increasingly pivotal in transforming raw geospatial data into actionable insights. By employing sophisticated analytical tools, GIS Analytics allows organizations to visualize complex spatial relationships and patterns, enhancing decision-making processes across various sectors. For instance, in urban planning, GIS Analytics can identify optimal locations for new infrastructure projects by analyzing population density, traffic patterns, and environmental constraints. Similarly, in the utility sector, it aids in asset management by predicting maintenance needs and optimizing resource allocation. The ability to integrate GIS Analytics with other data sources, such as demographic and economic data, further amplifies its utility, making it an indispensable tool for strategic planning and operational efficiency.

Regionally, North America holds the largest share of the GIS software market, driven by technological advancements and high adoption rates across various sectors. Europe follows closely, with significant growth attributed to the increasing use of GIS in environmental monitoring and urban planning. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by rapid urbanization, infrastructure development, and government initiatives in countries like China and India.

Component Analysis

The GIS software market is segmented into software and services, each playing a vital role in meeting the diverse needs of end-users. The software segment encompasses various types of GIS software, including desktop GIS, web GIS, and mobile GIS. Desktop GIS remains the most widely used, offering comprehensive tools for spatial analysis, data management, and visualization. Web GIS, on the other hand, is gaining traction due to its accessibility and ease of use, allowing users to access GIS capabilities through a web browser without the need for extensive software installations.

Mobile GIS is another crucial aspect of the software segment, providing field-based solutions for data collection, asset management, and real-time decision making. With the increasing use of smartphones and tablets, mobile GIS applications are becoming indispensable for sectors such as utilities, transportation, and

Kenya WEBGIS hosts the Kenya geo-data online enabling spatial exploration, rendering, visualization and mining/exporting/downloading of datasets for personal or organizational use. The datasets include the Kenya digital contour lines at 10m and 30m. The contour lines and other datasets have been used to train the QueryAI tool which facilitates accurate clipping of datasets within the Kenya admin levels ranging from sublocation to national. Using the query tool on the application, users can clip or filter datasets to a given existing or newly created or customized polygons. Kenya WEBGIS gives you the opportunity to query location to answer the question "What is where?". It makes it simple to understand and illustrate the "science of where" especially to the people who are learning or teaching geography, GIS, social studies and environment education at different levels.Kenya WEBGIS effectively supports the CBC learning curriculum enabling the identification, visualization and filtering of features at unique levels and includes satellite images as basemaps. Use Kenya WEBGIS for making maps online without the use of software.