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.

This layer shows the locations of all oil and gas platforms (structures) within the U.S. Exclusive Economic Zone. To work with only currently existing platforms you should set a filter that ensures there is no removal date provided (a recorded removal date implies the platform is no longer present).Dataset SummaryThis source data for this layer is from the U.S. Department of Energy's Bureau of Ocean Energy Management (BOEM) website in early March 2016. The point features in this layer contain attributes about the details of drilling platform structures such as the type of structure, and whether personnel are present. Additional attributes from the Platform Structures table were joined to the platform location points; these were downloaded from the BOEM's Platform/Rig Information website. These attributes further described the physical characteristics of each platform.Note: Platforms are are being added or modified continuously; obtaining the most recent update of the BOEMs databases are required to know the true distribution of platform data. The BOEM cautions that the location of these features is to be considered approximate and are not an official record for the exact baseline coordinates.Link to source metadataWhat can you do with this layer?Platform details included in this layer are essential to decision making for an incident response team. They include dates (installation and removal), ownership (who to notify), location of platform by tract, area code, and block, structure type (Major or Not), depth, product, manned hours (attended), and heliport flag (can be approached by air).This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.

The web-posted Alaska Shore Station Database is a compilation of hundreds of intertidal sites that were visited and evaluated throughout the coastal waters of Alaska. At each station attempts are made to document all observed species and their assemblages, geomorphic features, measurements of beach length and slope, and gather photographic examples. This online database has been designed to integrate with the spatially explicit, Alaska ShoreZone web enabled GIS platform. The end result is a user friendly and accessible version of the Shore Station database with a queryable display of station locations, downloadable species lists and photos.

Esri ArcGIS Mission for Defense Market Outlook

According to our latest research, the global Esri ArcGIS Mission for Defense market size in 2024 stands at USD 2.14 billion, with a robust CAGR of 10.2% projected through the forecast period. By 2033, the market is expected to reach USD 5.1 billion as per our CAGR calculations. This growth is primarily driven by the escalating demand for advanced geospatial intelligence and real-time situational awareness solutions in defense and security operations worldwide. The increasing complexity of modern warfare, coupled with the integration of digital transformation strategies within defense sectors, is fueling significant investments in cutting-edge mission management platforms such as Esri ArcGIS Mission. As per our latest research, the market’s upward trajectory is further supported by the growing emphasis on interoperability, data-driven decision-making, and the need for seamless collaboration among defense forces and allied agencies.

A key growth factor for the Esri ArcGIS Mission for Defense market is the rapid evolution of modern warfare tactics and the proliferation of asymmetric threats. Defense agencies are increasingly prioritizing real-time geospatial intelligence and mission planning capabilities to respond effectively to dynamic and unpredictable operational environments. The integration of Esri ArcGIS Mission enables defense forces to visualize, analyze, and share mission-critical data, thereby enhancing situational awareness and operational agility. Furthermore, the adoption of artificial intelligence and machine learning within geospatial platforms is empowering defense organizations to automate threat detection, optimize resource allocation, and streamline mission execution, thereby driving the adoption of advanced GIS solutions at a global scale.

Another significant driver is the expanding role of multi-domain operations (MDO) and the need for cross-agency collaboration in defense missions. The Esri ArcGIS Mission platform is uniquely positioned to facilitate real-time collaboration among diverse defense units, including the army, navy, air force, and homeland security agencies. By providing a unified operational picture, the platform enhances inter-agency coordination and supports joint mission planning, execution, and debriefing. The increasing frequency of multinational exercises and coalition operations further underscores the importance of interoperable mission management solutions that can seamlessly integrate data from disparate sources and deliver actionable intelligence to commanders in the field.

The ongoing digital transformation initiatives within defense ministries and intelligence agencies are also propelling market expansion. Governments worldwide are investing heavily in upgrading their command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) infrastructure, with a focus on leveraging geospatial analytics for strategic advantage. Esri ArcGIS Mission’s ability to ingest, process, and visualize vast volumes of geospatial data in real time is proving indispensable for defense agencies seeking to enhance operational efficiency, reduce response times, and mitigate risks. Additionally, the growing adoption of cloud-based deployment models is enabling defense organizations to scale their mission management capabilities rapidly, improve data accessibility, and ensure business continuity during critical operations.

Regionally, North America continues to dominate the Esri ArcGIS Mission for Defense market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, is a major contributor to market growth, driven by substantial defense budgets, advanced technological infrastructure, and the presence of leading GIS solution providers. Europe is witnessing steady adoption of mission management platforms, supported by collaborative defense initiatives and modernization programs across NATO member states. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rising geopolitical tensions, increased defense spending, and a growing focus on indigenous technology development in countries such as China, India, and Japan.

Esri Site Scan for ArcGIS Market Outlook

According to our latest research, the Global Esri Site Scan for ArcGIS market size was valued at $1.2 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a CAGR of 16.7% during the forecast period of 2025 to 2033. The major factor fueling this robust growth is the increasing adoption of drone-based geospatial solutions across industries such as construction, utilities, and environmental monitoring. Organizations are leveraging Esri Site Scan for ArcGIS to streamline data collection, enhance mapping accuracy, and enable real-time decision-making, which is driving market expansion globally. As digital transformation accelerates and the demand for high-resolution aerial imagery rises, Esri’s cloud-native platform is positioned as a critical tool for enterprises seeking to modernize asset management and operational workflows.

Regional Outlook

North America currently dominates the Esri Site Scan for ArcGIS market, accounting for nearly 42% of the global share in 2024. This leadership position is attributed to the region’s mature geospatial technology ecosystem, widespread adoption of advanced drone mapping solutions, and strong regulatory frameworks supporting UAV operations. The United States, in particular, has seen significant investments from both public and private sectors in aerial mapping, disaster response, and infrastructure monitoring. The presence of major Esri partners and a large base of enterprise users further cements North America’s position as the largest regional market. Additionally, robust R&D initiatives, favorable government policies, and the integration of AI-driven analytics into geospatial platforms have accelerated the adoption of Esri Site Scan for ArcGIS across government, utilities, and construction sectors.

Asia Pacific is projected to be the fastest-growing region, with a forecasted CAGR of 20.4% from 2025 to 2033. The rapid pace of urbanization, massive infrastructure development projects, and increasing awareness about the benefits of drone-based geospatial solutions are driving adoption across China, India, Japan, and Southeast Asian countries. Governments in the region are investing heavily in smart city initiatives and disaster management systems, where Esri Site Scan for ArcGIS plays a crucial role in real-time data acquisition and analysis. Strategic partnerships between global geospatial technology providers and local enterprises, coupled with a surge in venture capital funding for drone startups, are further catalyzing market growth in Asia Pacific. The region’s young, tech-savvy workforce and supportive policy reforms are expected to sustain this momentum over the coming decade.

Emerging economies in Latin America and the Middle East & Africa are witnessing gradual but steady adoption of Esri Site Scan for ArcGIS, though several challenges persist. Limited access to advanced UAV hardware, inconsistent regulatory frameworks, and lower levels of digital literacy can hinder widespread deployment. However, localized demand for solutions in agriculture, mining, and environmental monitoring is rising, driven by the need to optimize resource management and enhance disaster preparedness. Governments and NGOs are increasingly recognizing the value of geospatial intelligence for sustainable development, leading to pilot projects and public-private partnerships in these regions. Despite infrastructural and policy-related barriers, the long-term outlook remains positive as digital transformation efforts gain traction and international technology providers invest in capacity-building initiatives.

Report Scope

The Geospatial Analytics Market size was valued at USD 98.93 billion in 2023 and is projected to reach USD 227.04 billion by 2032, exhibiting a CAGR of 12.6 % during the forecasts period. The Geospatial Analytics Market describes an application of technologies and approaches processing geographic and spatial data for intelligence and decision-making purposes. This market comprises of mapping tools and software, spatial data and geographic information systems (GIS) used in various fields including urban planning, environmental, transport and defence. Use varies from inventory tracking and control to route optimization and assessment of changes in environment. Other trends are the growth of big data and machine learning to improve the predictive methods, the improved real-time data processing the use of geographic data in combination with other technologies, for example, IoT and cloud. Some of the factors that are fuelling the need to find a marketplace for GIS solutions include; Increasing importance of place-specific information Increasing possibilities for data collection The need to properly manage spatial information in a high stand environment. Recent developments include: In May 2023, Google launched Google Geospatial Creator, a powerful tool that allows users to create immersive AR experiences that are both accurate and visually stunning. It is powered by Photorealistic 3D Tiles and ARCore from Google Maps Platform and can be used with Unity or Adobe Aero. Geospatial Creator provides a 3D view of the world, allowing users to place their digital content in the real world, similar to Google Earth and Google Street View. , In April 2023, Hexagon AB launched the HxGN AgrOn Control Room. It is a mobile app that allows managers and directors of agricultural companies to monitor all field operations in real time. It helps managers identify and address problems quickly, saving time and money. Additionally, the app can help to improve safety by providing managers with a way to monitor the location and status of field workers. , In December 2022, ESRI India announced the availability of Indo ArcGIS offerings on Indian public clouds and services to provide better management, collecting, forecasting, and analyzing location-based data. , In May 2022, Trimble announced the launch of the Trimble R12i GNSS receiver, which has a powerful tilt adjustment feature. It enables land surveyors to concentrate on the task and finish it more quickly and precisely. , In May 2021, Foursquare purchased Unfolded, a US-based provider of location-based services. This US-based firm provides location-based services and goods, including data enrichment analytics and geographic data visualization. With this acquisition, Foursquare aims to provide its users access to various first and third-party data sets and integrate them with the geographical characteristics. , In January 2021, ESRI, a U.S.-based geospatial image analytics solutions provider, introduced the ArcGIS platform. ArcGIS Platform by ESRI operates on a cloud consumption paradigm. App developers generally use this technology to figure out how to include location capabilities in their apps, business operations, and goods. It aids in making geospatial technologies accessible. .

Survey123 for ArcGIS is a simple and intuitive form-centric field data gathering solution. This seminar teaches you about Survey123. The presenters demonstrate how to create both simple and more sophisticated surveys, collect data over the web and in the field, analyze and view the survey results with Survey123's reporting capabilities, and how survey data is integrated with the ArcGIS platform.This seminar was developed to support the following:Survey123 for ArcGIS

The Introduction to ArcGIS GeoEvent Server Tutorial introduces you to the Real-Time Visualization and Analytics capabilities of ArcGIS GeoEvent Server. GeoEvent Server allows you to:Incorporate real-time data feeds in your existing GIS data and IT infrastructure.Perform continuous processing and analysis on streaming data, as it is received.Produce new streams of data that can be leveraged across the ArcGIS platform.Once you complete the lessons in this tutorial you should be able to:Create and maintain GeoEvent Service elements such as inputs, outputs, filters, and processors.Use GeoEvent Simulator to simulate event data to GeoEvent Server.Configure GeoEvent Services to append and update features in a published feature service and send features to a stream service.Work with processors and filters to analyze event data and send the processed events to outputs.In this tutorial are six lessons, each complementing one another by exploring different functional areas through narrative and exercises. If you are new to GeoEvent Server, you are encouraged to start with Lesson 1 and then proceed through the remaining lessons. If you are familiar with GeoEvent Server, you can start with any lesson depending on your learning objectives, you do not need to complete the lessons in order. An overview of each lesson is described below, click the link to download a ZIP file for each lesson.Lesson 1 – Get Started with ArcGIS GeoEvent Server – Introduces the core capabilities of ArcGIS GeoEvent Server including using ArcGIS GeoEvent Manager to create GeoEvent Definitions, inputs, outputs, and GeoEvent Services. In addition, you will explore several of the utilities which can be used to work with real-time data.Lesson 2 – Visualize Real-Time Data – Introduces how GeoEvent Server can be used to visualize real-time data in a web map. This includes creating outputs, publishing a stream service and feature service in GeoEvent Manager, adding the stream and feature services to a web map, and symbolizing the features based on their heading.Lesson 3 – Filters – Introduces real-time event data filtering with exercises illustrating how attribute and spatial filters are added and configured in GeoEvent Services. It examines how GeoEvent Definitions and tags are used as well as how filter expressions are logically combined.Lesson 4 – Processors – Introduces real-time event data processing with exercises illustrating how processors are added and configured in GeoEvent Services. You will explore some of the processors used for field calculation and event enrichment as well as processors used to map events containing different information to bridge differences between event input and output.Lesson 5 – Advanced Processors – Continues the exploration of real-time event data processing with exercises illustrating some of the more advanced processing capabilities of GeoEvent Server. Exercises include working with processors that perform incident detection, track gap detection, and geotagging to enrich events based on their proximity to existing geofences.Lesson 6 – Spatial Processors – Introduces the spatial processors available with GeoEvent Server. These processors can be used to buffer event geometry, create a convex hull or envelope encompassing event geometry, compute a simple geometric difference, a symmetric difference, or geometric intersection as well as simplify and project event data as part of a GeoEvent Service.

The global 3D GIS platform market size was valued at USD 1,216.45 million in 2021 and is projected to reach USD 4,249.24 million by 2033, exhibiting a CAGR of 12.4% during the forecast period. The growing adoption of 3D GIS technology in various industries, including urban planning, construction, and infrastructure management, is driving market growth. Additionally, the rising demand for geospatial data for decision-making and the increasing use of 3D visualization tools are contributing to the market's expansion. North America is expected to dominate the 3D GIS platform market throughout the forecast period due to the early adoption of advanced technologies and the presence of major players in the region. The Asia Pacific region is anticipated to witness significant growth owing to the increasing investment in infrastructure development and government initiatives to promote smart city projects. Key industry participants include Esri, Supergeo, Sivan Design, and Supermap, among others, who focus on product innovation and strategic partnerships to maintain their competitive edge.

Actualiteit: januari 2023Requirements: ArcGIS Pro 2.0 of hoger Inhoud van de download:Add-in voor ArcGIS Pro 2.XAdd-in voor ArcGIS Pro 3De Esri Nederland Content Add-In voor ArcGIS Pro geeft in één overzicht direct toegang tot alle content aangeboden door Esri Nederland. Download de Add-In via de 'Downloaden'-knop. Pak vervolgens het zip-bestand uit op een willekeurige locatie en dubbelklik het resulterende 'EsriNLContent.esriAddinX'-bestand. Klik vervolgens op 'Install Add-In' om de Add-In te installeren. Vanaf nu is de Add-In bovenin de balk van ArcGIS Pro onder 'Esri Nederland' te vinden. Mocht de Add-In niet zichtbaar zijn, start ArcGIS Pro dan opnieuw op en kijk nogmaals in de balk bovenin.Naast deze checklist stelt Esri Nederland andere handleidingen en tools beschikbaar via de How-to pagina op de Esri Nederland ContentHub en de gebruiker Esri_NL_Tools.Deze Add-In wordt aangeboden vanuit Esri Nederland Content. Esri Nederland Content biedt landsdekkende data en services aan die gebruikt kunnen worden in het ArcGIS-platform. Het content-team actualiseert het aanbod en voegt geregeld nieuwe content toe. Door content van Esri Nederland te combineren met andere gegevens creëert u snel en eenvoudig nieuwe informatieproducten. Meer informatie over het content aanbod is te vinden via: esri.nl/content. Heeft u vragen of opmerkingen dan horen wij dat graag via content@esri.nl. Blijf op de hoogte van het laatste content-nieuws via de Esri Nederland Content Hub.

The global Cloud Native GIS Platform market is valued at XXX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033, reaching a value of XXX million by 2033. The market growth is attributed to several factors, including the increasing adoption of cloud computing, the rising demand for location-based services, and the growing need for real-time data analysis. The market is segmented by application, type, and region. By application, the market is divided into land surveying and mapping, environmental monitoring, traffic management, public safety, and others. By type, the market is categorized into server computing type and serverless computing type. The major players in the market include ESRI, Mapbox, Super Map, Google Maps, Apple Maps, Hexagon, Open Street Map, CartoDB, Bing Map, and Alibaba Group God Map. In terms of region, North America is the largest market for cloud native GIS platforms, followed by Europe and Asia Pacific. The market in North America is driven by the early adoption of cloud computing and the presence of a large number of technology companies. The market in Europe is growing due to the increasing demand for location-based services and the growing awareness of the benefits of cloud computing. The market in Asia Pacific is expected to grow at the highest CAGR during the forecast period, due to the rapid adoption of cloud computing and the growing demand for location-based services in emerging economies.

As part of the NSTA's published 2018/19 Activity Plan, the NSTA is publishing a set of regional geological maps for the Northern North Sea and East Shetland Platform.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. ArcGIS software was used as the GIS platform for the onscreen digital mapping. Because the 3D images were viewed directly in the GIS environment, vegetation could be mapped directly into ArcGIS. The polygon vector data were stored using an ArcGIS file geodatabase, which was projected in in Universal Transverse Mercator (UTM), Zone 15, by using the North American Datum of 1983 (NAD 83). The NPS VIP standard MMU of 0.5 ha was applied to mapping forest and cultural types. For shrub, herbaceous, and sparsely vegetated types, as well as non-vegetation features, a MMU of 0.25 ha was applied. This smaller MMU was applied because these vegetation types were comparatively rare across the park, the degree of vegetation diversity over small areas was higher, and the isolated patches across MISS were more prevalent. For woodlands, a MMU of 0.5 ha was applied to deciduous woodlands and a MMU of 0.25 ha was applied to conifer woodlands due to the individual circumstances surrounding these woodlands. Also, when vegetation types were found unique to their immediate surroundings (e.g., an herbaceous wetland within an upland forest), mapping below the MMU was allowed. All geospatial products for the MISS vegetation mapping project have been projected in UTM, Zone 15, by using the NAD 83.

Collection of multispectral imagery from an aerial sensor is a means to obtain plot-level vegetation index (VI) values; however, post-capture image processing and analysis remain a challenge for small-plot researchers. An ArcGIS Pro workflow of two task items was developed with established routines and commands to extract plot-level VI values (Normalized Difference VI, Ratio VI, and Chlorophyll Index-Red Edge) from multispectral aerial imagery of small-plot turfgrass experiments. Users can access and download task item(s) from the ArcGIS Online platform for use in ArcGIS Pro. The workflow standardizes the processing of aerial imagery to ensure repeatability between sampling dates and across site locations. A guided workflow saves time with assigned commands, ultimately allowing users to obtain a table with plot descriptions and index values within a .csv file for statistical analysis. The workflow was used to analyze aerial imagery from a small-plot turfgrass research study evaluating herbicide effects on St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] grow-in. To compare methods, index values were extracted from the same aerial imagery by TurfScout, LLC and were obtained by handheld sensor. Index values from the three methods were correlated with visual percentage cover to determine the sensitivity (i.e., the ability to detect differences) of the different methodologies.

GIS in the age of community health (Learn ArcGIS Path). Arm yourself with hands-on skills and knowledge of how GIS tools can analyze health data and better understand diseases.

The primary audience for the California Preparedness Platform (Cal PreP) is Cal OES response personnel and local, tribal, state and federal supporting partners. The contributing data are from various sources including the California State Warning Center’s Daily Operations Report, Cal EOC, California Department of Water Resources (DWR), National Oceanic and Atmospheric Administration (NOAA), and the National Weather Service (NWS). Additional information may be added or removed during active response operations to meet the immediate needs of the State Operations Center and Cal OES regional staff.

All data released with this set of geological maps is public domain data. The project has, however, benefited from a number of additional third-party data sources which have been used to help inform final maps and/or derive interpreted products. These include the 21CXRM Palaeozoic project (which is now available in the public domain),the Southern Permian Basin Atlas (SPBA),PGS’s North Sea Digital Atlas and East Shetland Platform seismic interpretation project, Frogtech’s East Shetland Platform Project, IGI’s Source Rock Evaluation for the East Shetland Platform, research data from the University of Aberdeen, seismic interpretation work and other geological studies carried out by Durham University on the SW Approaches, seismic interpretation work carried out by Heriot-Watt University on the Mid North Sea High, seismic interpretation work carried out by Aberdeen University on the Rockall area CGG’s Target database and relevant products available via the BGS’s Offshore Geoindex. TGS are gratefully acknowledged for providing joined digital log data from LogLinePlus to enable the production of sand flag curves. Schlumberger, TGS and BP are acknowledged for providing additional seismic data to help QC interpretation carried out within the project and CDA are also kindly acknowledged for their support in downloading and providing much of the released well data to LR as part of this project. Due to the high level, regional nature of the project, the depth structure and structural elements maps have been produced for the main geological time intervals, e.g. Paleocene, Lower Cretaceous, Upper Jurassic. Depositional facies maps and reservoir distribution maps were produced for a higher number of stratigraphic intervals such as the Danian, Selandian and Thanetian (Paleocene). The following products are available: •Depth structure maps •Isochore maps •Structural elements maps •Depositional facies maps •Reservoir distribution maps •Well penetration maps •Hydrocarbon occurrence maps •Drill stem tests •Well tops (Groups, Formation and Members) •Sand data (N/G, sand thickness)

This ArcGIS model inserts a file name into a feature class attribute table. The tool allows an user to identify features by a field that reference the name of the original file. It is useful when an user have to merge multiple feature classes and needs to identify which layer the features come from.

Historic sites include areas where significant historical events of cultural interest occurred. These range from National Historic Parks, Sites, Trails, and Preserves to state, local, and areas held in trust.Dataset SummaryPhenomenon Mapped: Historic Sites from the Protected Areas Database of the United States version 3.0Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States and GuamVisible Scale: Visible at all scalesSource: USGS National Gap Analysis Program PAD-US version 3.0Publication Date: July 2022What can you do with this layer?This layer can be used to create maps and to visualize the underlying data across the ArcGIS platform. It can also be used as an analytic input in ArcGIS Online.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of the description page.

GIS Mapping Software Market Outlook

The global GIS Mapping Software market size was valued at approximately USD 8.5 billion in 2023 and is projected to reach around USD 17.5 billion by 2032, growing at a CAGR of 8.3% from 2024 to 2032. This robust growth is driven by the increasing adoption of geospatial technologies across various sectors, including urban planning, disaster management, and agriculture.

One of the primary growth factors for the GIS Mapping Software market is the rising need for spatial data analytics. Organizations are increasingly recognizing the value of geographical data in making informed decisions, driving the demand for sophisticated mapping solutions. Furthermore, advancements in satellite imaging technology and the increasing availability of high-resolution imagery are enhancing the capabilities of GIS software, making it a crucial tool for various applications.

Another significant driver is the integration of GIS with emerging technologies such as artificial intelligence (AI) and the Internet of Things (IoT). These integrations are facilitating real-time data processing and analysis, thereby improving the efficiency and accuracy of GIS applications. For instance, in urban planning and disaster management, real-time data can significantly enhance predictive modeling and response strategies. This synergy between GIS and cutting-edge technologies is expected to fuel market growth further.

The growing emphasis on sustainable development and smart city initiatives globally is also contributing to the market's expansion. Governments and private entities are investing heavily in GIS technologies to optimize resource management, enhance public services, and improve urban infrastructure. These investments are particularly evident in developing regions where urbanization rates are high, and there is a pressing need for efficient spatial planning and management.

In terms of regional outlook, North America holds a significant share of the GIS Mapping Software market, driven by robust technological infrastructure and high adoption rates across various industries. However, Asia Pacific is expected to witness the highest growth rate during the forecast period. This growth is attributed to rapid urbanization, increasing government initiatives for smart cities, and rising investments in infrastructure development.

The Geographic Information Systems Platform has become an integral part of modern spatial data management, offering a comprehensive framework for collecting, analyzing, and visualizing geographic data. This platform facilitates the integration of diverse data sources, enabling users to create detailed maps and spatial models that support decision-making across various sectors. With the increasing complexity of urban environments and the need for efficient resource management, the Geographic Information Systems Platform provides the tools necessary for real-time data processing and analysis. Its versatility and scalability make it an essential component for organizations looking to leverage geospatial data for strategic planning and operational efficiency.

Component Analysis

The GIS Mapping Software market is segmented by component into software and services. The software segment dominates the market, primarily due to the continuous advancements in GIS software capabilities. Modern GIS software offers a range of functionalities, from basic mapping to complex spatial analysis, making it indispensable for various sectors. These software solutions are increasingly user-friendly, allowing even non-experts to leverage geospatial data effectively.

Moreover, the software segment is witnessing significant innovation with the integration of AI and machine learning algorithms. These advancements are enabling more sophisticated data analysis and predictive modeling, which are crucial for applications such as disaster management and urban planning. The adoption of cloud-based GIS software is also on the rise, offering scalability and real-time data processing capabilities, which are essential for dynamic applications like transport management.

The services segment, although smaller than the software segment, is also experiencing growth. This includes consulting, implementation, and maintenance services that are critical for the successful deployment and operation of GIS systems. The increasing complexity of GIS applications nec