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.

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.

The size of the Italy Geospatial Analytics market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 8.17% during the forecast period. 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: High Costs and Operational Concerns, Lack of Standardization for Data Integration. Notable trends are: The Increase in the Number of Smart Cities in The Country Fuels the Market Growth.

Enterprise GIS Market Outlook

According to our latest research, the global Enterprise GIS market size reached USD 8.4 billion in 2024, reflecting the rapid adoption of geospatial technologies across various sectors. The market is expected to grow at a robust CAGR of 11.2% during the forecast period, reaching a projected value of USD 24.1 billion by 2033. This remarkable growth is primarily driven by the increasing need for real-time geographic data, advancements in cloud-based GIS solutions, and the rising integration of GIS with emerging technologies such as IoT, AI, and big data analytics.

One of the most significant growth factors for the Enterprise GIS market is the expanding requirement for spatial data analytics in decision-making processes across industries. As organizations strive to enhance operational efficiency and resource allocation, the demand for advanced mapping and spatial analysis tools has surged. Enterprises in sectors like utilities, government, transportation, and oil & gas are leveraging GIS platforms for asset management, infrastructure planning, and disaster management. The ability of Enterprise GIS to provide actionable insights through real-time data visualization and predictive analytics is proving invaluable for both public and private sector entities, thereby fueling market expansion.

Another key driver is the technological evolution of GIS platforms, particularly the shift towards cloud-based deployment models. Cloud-based Enterprise GIS solutions offer scalable, flexible, and cost-effective alternatives to traditional on-premises systems. This transition enables organizations to manage vast geospatial datasets, collaborate across distributed teams, and integrate GIS capabilities with other enterprise applications. The proliferation of mobile devices and IoT sensors is further augmenting the adoption of cloud GIS, as it facilitates seamless data collection, sharing, and analysis from remote locations. The result is a significant boost in the operational agility and responsiveness of enterprises, which is accelerating the adoption of Enterprise GIS solutions globally.

The increasing regulatory emphasis on sustainable development, urban planning, and environmental monitoring is also contributing to the growth of the Enterprise GIS market. Governments and regulatory bodies worldwide are mandating the use of spatial data for land management, infrastructure development, and resource conservation. This regulatory push is compelling organizations to invest in robust GIS platforms that can support compliance, reporting, and long-term planning. Furthermore, the integration of artificial intelligence and machine learning with GIS is enabling predictive modeling and automation, which are critical for proactive decision-making in dynamic environments. These factors collectively underscore the strategic importance of Enterprise GIS in driving digital transformation and resilience across industries.

From a regional perspective, North America continues to dominate the Enterprise GIS market, accounting for the largest revenue share in 2024. The region’s leadership is attributed to the presence of major GIS vendors, advanced IT infrastructure, and high adoption rates across government and utility sectors. Meanwhile, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, infrastructure investments, and government initiatives promoting smart cities and digital governance. Europe also holds a significant share, driven by stringent environmental regulations and the increasing adoption of geospatial technologies in sectors such as transportation and telecommunications. Latin America and the Middle East & Africa are witnessing steady growth, supported by investments in infrastructure modernization and resource management.

Component Analysis

The Enterprise GIS market by component is segmented into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment current

This deep learning model is used to detect trees in low-resolution drone or aerial imagery. Tree detection can be used for applications such as vegetation management, forestry, urban planning, etc. High resolution aerial and drone imagery can be used for tree detection due to its high spatio-temporal coverage.

This deep learning model is based on MaskRCNN and has been trained on data from the DM Dataset preprocessed and collected by the IST Team.

There is no need of high-resolution imagery you can perform all your analysis on low resolution imagery by detecting the trees with the accuracy of 75% and finetune the model to increase your performance and train on your own data.

Licensing requirements ArcGIS Desktop – ArcGIS Image Analyst and ArcGIS 3D Analyst extensions for ArcGIS Pro ArcGIS Enterprise – ArcGIS Image Server with raster analytics configured ArcGIS Online – ArcGIS Image for ArcGIS Online

Using the model Follow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.

Note: Deep learning is computationally intensive, and a powerful GPU is recommended to process large datasets.

Input 3-band low-resolution (70 cm) satellite imagery.

Output Feature class containing detected trees

Applicable geographies The model is expected to work well in the U.A.E.

Model architecture This model is based upon the MaskRCNN python package and uses the Resnet-152 model architecture implemented in pytorch.

Training data This model has been trained on the Satellite Imagery created and Labelled by the team and validated on the different locations with more diverse locations.

Accuracy metrics This model has an average precision score of 0.45.

Sample results Here are a few results from the model.

Funds for the Equity Impact Enterprise Grantees were disbursed in May, June, and July of 2022.

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

View the mapped version of this dataset here. Please note that not all business license locations are displayed on the map. These are noted as "Not Mapped" in the Map Status field of the data table.A Tacoma business license is generally required to conduct business in the City of Tacoma and is in addition to any Washington State license(s) such as a UBI. Use this dataset to determine if a business is registered with the City and contact the Tax & License division at 253-591-5252 to verify if a business has a current business license. The dataset includes the business entity name, trade name, mailing address, site address, and industry code. Filtering by industry code will identify businesses in a specific industry.To learn more about Tacoma's tax and license requirements, please visit cityoftacoma.org/taxandlicense. This dataset is updated daily and is maintained by the Tax & License division.

This is a fine-tuned model for New Zealand, derived from a pre-trained model from Esri. It has been trained using LINZ aerial imagery (0.075 m spatial resolution) for Wellington You can see its output in this app https://niwa.maps.arcgis.com/home/item.html?id=1ca4ee42a7f44f02a2adcf198bc4b539Solar power is environment friendly and is being promoted by government agencies and power distribution companies. Government agencies can use solar panel detection to offer incentives such as tax exemptions and credits to residents who have installed solar panels. Policymakers can use it to gauge adoption and frame schemes to spread awareness and promote solar power utilization in areas that lack its use. This information can also serve as an input to solar panel installation and utility companies and help redirect their marketing efforts.Traditional ways of obtaining information on solar panel installation, such as surveys and on-site visits, are time consuming and error-prone. Deep learning models are highly capable of learning complex semantics and can produce superior results. Use this deep learning model to automate the task of solar panel detection, reducing time and effort required significantly.Licensing requirementsArcGIS Desktop – ArcGIS Image Analyst extension for ArcGIS Proor ArcGIS Enterprise – ArcGIS Image Server with Raster Analytics configuredor ArcGIS Online – ArcGIS Image for ArcGIS OnlineUsing the modelFollow the Esri guide to using their USA Solar Panel detection model (https://www.arcgis.com/home/item.html?id=c2508d72f2614104bfcfd5ccf1429284). Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.Note: Deep learning is computationally intensive, and a powerful GPU is recommended to process large datasets.InputHigh resolution (5-15 cm) RGB imageryOutputFeature class containing detected solar panelsApplicable geographiesThe model is expected to work well in New ZealandModel architectureThis model uses the MaskRCNN model architecture implemented in ArcGIS API for Python.Accuracy metricsThis model has an average precision score of 0.9244444449742635NOTE: Use at your own risk_Item Page Created: 2022-02-09 02:24 Item Page Last Modified: 2025-04-05 16:30Owner: NIWA_OpenData

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.

Business licence applications received by the City of Port Moody, beginning January 1, 2015 to present.

Created by Johanna Kraus September 2012. Historic and Neighborhood Preservation areas just copied from ZONE_COT layer. UOD-1 from area_zonePurposeThis layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactJohanna.Kraus@tucsonaz.govUpdate FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

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

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...

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

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

A copy of located in editsde for backup purposes. The dataset includes approximate flood-hazard boundary areas prepared by both detailed and approximate methods. Study limits were defined using the highlighted drainage-problem areas shown on the city's zoning base maps as a guide. Floodplain studies completed and sealed in 2007 and 2008 . Shape files created April 2011. Shape files exported from Autodesk Map 3D 2006 and projected using ArcMap 10. Maintenance and frequency to be determined by City of Tucson, Planning and Development ServicesReplace feature class "dsdFHZStudy2007CrossSections" See feature class "cotFloodHazardsPurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Enterprise Zones are created by the Governors Office of Economic Development to encourage economic growth and development in specified areas by providing tax breaks to development projects within these boundaries.

Stores polygon areas that represent specially zoned areas where businesses receive incentives in return for investments and job creation in the zone.