The global Geographic Information System (GIS) software market is experiencing robust growth, driven by increasing adoption across various sectors like government, utilities, and transportation. The market, currently valued at approximately $15 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key trends, including the rising demand for location-based services, the proliferation of geospatial data, and the increasing use of cloud-based GIS solutions. The cloud-based segment is rapidly gaining traction due to its scalability, cost-effectiveness, and accessibility. Furthermore, the enterprise application segment dominates the market share, reflecting the widespread adoption of GIS for complex spatial analysis and decision-making in large organizations. While the market faces some restraints, such as the high initial investment costs for some advanced systems and the need for specialized expertise, the overall growth trajectory remains positive. The increasing integration of GIS with other technologies like AI and IoT further enhances its capabilities, opening new avenues for market expansion. Major players like Esri, Google, and Pitney Bowes are leading the market, constantly innovating and expanding their product offerings to meet evolving customer needs. The regional distribution of the market shows strong performance in North America and Europe, driven by advanced technological infrastructure and high adoption rates. However, the Asia-Pacific region is emerging as a significant growth area, propelled by rapid urbanization and infrastructure development. The competitive landscape is marked by both established players and emerging startups, fostering innovation and competition. The ongoing advancements in GIS technology, including improvements in data visualization, analytics, and mobile accessibility, are expected to further propel market growth in the coming years. The integration of GIS with other technologies will lead to new applications and expanded opportunities, ultimately driving the market towards sustained expansion throughout the forecast period.

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.

ArcGIS Enterprise puts collaboration and flexibility at the center of your organization's GIS. It pairs industry-leading mapping and analytics capabilities with a dedicated Web GIS infrastructure to organize and share your work on any device, anywhere, at any time.

This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address. Contact: Lynn Flaaen-Hanna, Development Services Specialist Contact E-mail Link: Map that Lets You Explore and Export Address Data Data Source: The initial dataset was created by combining several datasets and then reviewing the information to remove duplicates and identify errors. This published dataset is the system of record for Tempe addresses going forward, with the address information being created and maintained by The Building Safety Division of Community Development.Data Source Type: ESRI ArcGIS Enterprise GeodatabasePreparation Method: N/APublish Frequency: WeeklyPublish Method: AutomaticData Dictionary

In order to operate legally in District of Columbia, most businesses must get a Basic Business License (BBL) from the Department of Licensing and Consumer Protection (DLCP). The Basic Business License (BBL) Program streamlines District of Columbia business licensing procedures. The BBL groups licenses by the type of business activity and regulatory approvals required.

Business Licenses issued in Sandy Springs, GA, as of 9/25/2020. Data is exported from the Sandy Springs Revenue Department. The addresses are geocoded against the address point layer. Locations shown are approximateAll businesses located in the City of Sandy Springs are required to hold a valid Business Occupational Tax Certificate, often referred to as a business license, and pay Business Occupational Taxes. There are additional requirements for businesses who sell alcohol, businesses who rent short-term accommodations (hotels/motel etc.) and businesses who rent vehicles.Learn more about business licenses at Sandy Springs:https://www.sandyspringsga.gov/business/business-regulations-and-licensing

Geoportal Server is a standards-based, open source product that enables discovery and use of geospatial resources including data and services.

With the Geoportal Server you can:

• Improve the efficiency and effectiveness of geospatial activities within your enterprise and across organizations.
• Support collaboration and cooperation among departments and organizations by facilitating the sharing of geospatial resources regardless of the GIS platform.
• Gain an enterprise-level awareness of disparate geospatial data, Web services, and activities.
• Leverage existing geospatial resources so your organization doesn't duplicate those resources or the effort to create them.
• Ensure the use of approved, high-quality datasets.
• Reduce the time users spend trying to find relevant, usable geospatial resources.

This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This tutorial introduces you to using Python code in a Jupyter Notebook, an open source web application that enables you to create and share documents that contain rich text, equations and multimedia, alongside executable code and visualization of analysis outputs. The tutorial begins by stepping through the basics of setting up and being productive with Python notebooks. You will be introduced to ArcGIS Notebooks, which are Python Notebooks that are well-integrated within the ArcGIS platform. Finally, you will be guided through a series of ArcGIS Notebooks that illustrate how to create compelling notebooks for data science that integrate your own Python scripts using the ArcGIS API for Python and ArcPy in combination with thousands of open source Python libraries to enhance your analysis and visualization.To download the dataset Labs, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/arcgis-notebooks-tutorial.git.Software & Solutions Used: Required: This tutorial was last tested on August 27th, 2024, using ArcGIS Pro 3.3. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Recommended: ArcGIS Online subscription account with permissions to use advanced Notebooks and GeoEnrichmentOptional: Notebook Server for ArcGIS Enterprise 11.3+Time to Complete: 2 h (excludes processing time)File Size: 196 MBDate Created: January 2022Last Updated: August 27, 2024

Using the coronavirus infographic template in Business/Community Analyst Web (ArcGIS Blog).Business Analyst (BA) Web infographics are a powerful way to understand demographics and other information in context. This blog article explains how your organization can use the Coronavirus infographic template that was added to the infographics gallery on March 1, 2020._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2022 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2025. Please cite the Census Bureau and CBP when using this data. Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov for details on these withheld records.

About the City of Los Angeles Business Source CentersThe LA Business Source Center System (LABSC System) provides an array of technical assistance to aspiring entrepreneurs and small businesses in underserved communities in the City of Los Angeles. As a result of the no cost, one-on- one, professional business advising and low-cost training, the Business Source Center program remains a key small business assistance program for the City of Los Angeles. Based on client needs, local business trends and individual business requirements, LABSCs adapt their services to meet the evolving needs of the hundreds of small business communities in which they are situated. Services vary by center and include development of business plans; taxes filing support; financial packaging and lending assistance; exporting and importing support; procurement and contracting aid and market research services. These services are delivered through professional business advisers.

Detroit Street View (DSV) is an urban remote sensing program run by the Enterprise Geographic Information Systems (EGIS) Team within the Department of Innovation and Technology at the City of Detroit. The mission of Detroit Street View is ‘To continuously observe and document Detroit’s changing physical environment through remote sensing, resulting in freely available foundational data that empowers effective city operations, informed decision making, awareness, and innovation.’ LiDAR (as well as panoramic imagery) is collected using a vehicle-mounted mobile mapping system.

Due to variations in processing, index lines are not currently available for all existing LiDAR datasets, including all data collected before September 2020. Index lines represent the approximate path of the vehicle within the time extent of the given LiDAR file. The actual geographic extent of the LiDAR point cloud varies dependent on line-of-sight.

Compressed (LAZ format) point cloud files may be requested by emailing gis@detroitmi.gov with a description of the desired geographic area, any specific dates/file names, and an explanation of interest and/or intended use. Requests will be filled at the discretion and availability of the Enterprise GIS Team. Deliverable file size limitations may apply and requestors may be asked to provide their own online location or physical media for transfer.

LiDAR was collected using an uncalibrated Trimble MX2 mobile mapping system. The data is not quality controlled, and no accuracy assessment is provided or implied. Results are known to vary significantly. Users should exercise caution and conduct their own comprehensive suitability assessments before requesting and applying this data.

Sample Dataset: https://detroitmi.maps.arcgis.com/home/item.html?id=69853441d944442f9e79199b57f26fe3

Analysis of ‘Addresses’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ed1c4987-f6ba-4ed3-8560-6e7314426948 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address.

<p>Data Source Type: ESRI ArcGIS Enterprise Geodatabase</p>
<br />
<p>Preparation Method: N/A</p>
<br />
<p>Publish Frequency: Weekly</p>
<br />
<p>Publish Method: Automatic</p>
<br />
<p><a href='https://gis.tempe.gov/address-dictionary/' target='_blank'>Data Dictionary</a>
  <br />
</p>

--- Original source retains full ownership of the source dataset ---

The Italian geospatial analytics market, valued at €260 million in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 8.17% from 2025 to 2033. This expansion is driven by increasing adoption of precision agriculture techniques, the burgeoning need for efficient infrastructure management within utilities and communication sectors, and rising demand for advanced analytics in defense and intelligence applications. Furthermore, the Italian government's focus on smart city initiatives and the expanding digitalization across various sectors, including healthcare and real estate, significantly contribute to market growth. The market segmentation reveals a strong demand across diverse verticals, with agriculture, utilities, and defense exhibiting substantial growth potential. The prevalent use of surface analysis techniques reflects a focus on immediate application needs, while the growing adoption of network and geo-visualization analytics indicates a shift toward more sophisticated and insightful data interpretation. Leading players such as ESRI, Hexagon AB, and Trimble Geospatial are actively contributing to market development by providing cutting-edge software and services. Competition is likely to intensify as smaller, specialized companies emerge, offering niche solutions and catering to the evolving demands of different market segments. The forecast period (2025-2033) anticipates substantial market expansion, largely attributed to continued technological advancements, particularly in AI and machine learning, enhancing the analytical capabilities of geospatial data. However, challenges exist, potentially including data security concerns, the need for skilled professionals to interpret complex analytical results, and the high initial investment required for advanced geospatial technology implementation. Nevertheless, the long-term outlook for the Italian geospatial analytics market remains positive, driven by sustained government investment in digital infrastructure and the increasing awareness of the value proposition offered by sophisticated geospatial analysis across various sectors. The market's trajectory suggests a significant opportunity for both established and emerging players in the years to come. Recent developments include: March 2023: The Italian space agency and NASA have collaborated to build and launch the Multi-Angle Imager for Aerosols mission, an effort to investigate the health impacts of tiny airborne particles polluting the cities through analyzing data by collecting data from the satellite-based observatories, which would fuel the demand for geospatial analytics market in the country., January 2023: EDB, an open-source database service provider in Italy, announced its partnership with Esri to certify EDB Postgres Advanced Server with Esri ArcGIS Pro and Esri ArcGIS Enterprise, which work together to form Esri's Geospatial analytic solutions, operating in many countries, including Italy. After this partnership, users can connect their EDB Postgres Advanced Server to explore, visualize and analyze their geospatial data and share their work with an Esri ArcGIS Enterprise portal. In addition, EDB customers, especially those in the public sector, can use their database with Esri ArcGIS software to transform their data into something that improves workflows and processes and shapes policies and engagement within their communities.. Key drivers for this market are: Increase in the number of Smart Cities in The Country, The Implementation of analytics Software in the Country's Public Transportation. Potential restraints include: Increase in the number of Smart Cities in The Country, The Implementation of analytics Software in the Country's Public Transportation. Notable trends are: The Increase in the Number of Smart Cities in The Country Fuels the Market Growth.

This file contains the digital vector boundaries for Local Enterprise Partnership Overlapping Parts, in England as at May 2021.

In order to operate legally in District of Columbia, most businesses must get a Basic Business License (BBL) from the Department of Licensing and Consumer Protection (DLCP). The Basic Business License (BBL) Program streamlines District of Columbia business licensing procedures. The BBL groups licenses by the type of business activity and regulatory approvals required.

Provides a geographic representation of active businesses licensed in DEA's Seattle Licensing Information System (SLIM).

The Department of Licensing and Consumer Protection (DLCP) Business and Professional Licensing Administration Corporations Division serves as the Office of Corporate Registrar for the District of Columbia.This data set contains data related to the following information of a business entity: file number, entity status, locale, model type, business name, suffix, business address, email, effective date, foreign date of organization, next report year, latest report year filed, and latest report date filed. More information can be found at https://dlcp.dc.gov/page/corporations

La empresa ESRI, a través del sistema ArcGIS, ofrece capacidades para aplicar análisis basados ​​en la ubicación en sus flujos de trabajo, ya que permite obtener información utilizando herramientas contextuales para visualizar y analizar datos, así como colaborar y compartir dicha información a través de mapas, aplicaciones, paneles de mando e informes.ArcGIS es considerado un sistema de sistemas, conformado primero por un sistema de registro, donde los usuarios administran e integran datos; luego un sistema colaborativo que permite compartir, colaborar y diseminar la información en las las organizaciones; y finalmente, un sistema de conocimiento, donde a partir de los datos compartidos en los dos sistemas anteriores, es posible realizar análisis, modelos, así como exploración de patrones y tendencias.

A subset of Business licenses for for-profit and non-profit entities operating in Alaskan communities where licensee has designated the physical location as being a single DCRA recognized community and has identified the physical state as AK. For those specific records the (geographic) location has been set to the DCRA centroid of the community. The primary purpose of this feature service is for linking business licenses in the DCRA Community StoryMap Applications to communities with populations under 2500. Data updated monthly from the Alaska Department of Commerce, Community, and Economic Development, Division of Corporations, Business and Professional Licensing (DCCED-CBPL). See CBPL Business License Download link on this page for source of data represented in CSV format.Source: Alaska Department of Commerce, Community, and Economic Development, Division of Corporations, Business and Professional LicensingThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska DCCED CBPL