For many people data is seen as abstract information. It is therefore valuable to use Matrixian Map, an interactive map that shows an enormous amount of data in one figure. It helps to make complex analyzes understandable, to see new opportunities and to make data-driven decisions.

With our large amount of consumer, real estate, mobility and logistics data we can design very extensive maps. Whether it concerns a map that shows your (potential) customers, shows on which roofs solar panels can be placed or indicates when shopping areas can be supplied, with our knowledge of households, companies and objects, almost anything is possible!

The dataset shows the mapping of the Points of Interest (POI) identified in the city of Bologna.In this dataset the points of interest immediately adjacent to the areas covered by the municipal Wi-Fi hotspots are extrapolated and presented, divided into the following types:LibraryMuseums, Galleries, Places and Historical TheatresEventSchoolHealth FacilityGreen AreaNeighborhood HouseHorticultural AreaIn addition to this dataset, in the following pages it is possible to consult an in-depth analysis consisting of four detailed dashboards, carried out on the points of interest of as many areas of interest:Piazza MaggiorePiazza di Porta RavegnanaPiazza dell'UnitàGiardini Margherita

Xverum’s Location Data is a highly structured dataset of 230M+ verified locations, covering businesses, landmarks, and points of interest (POI) across 5000 industry categories. With accurate geographic coordinates, business metadata, and mapping attributes, our dataset is optimized for GIS applications, real estate analysis, market research, and urban planning.

With continuous discovery of new locations and regular updates, Xverum ensures that your location intelligence solutions have the most current data on business openings, closures, and POI movements. Delivered in bulk via S3 Bucket or cloud storage, our dataset integrates seamlessly into mapping, navigation, and geographic analysis platforms.

🔥 Key Features:

Comprehensive Location Coverage: ✅ 230M+ locations worldwide, spanning 5000 business categories. ✅ Includes retail stores, corporate offices, landmarks, service providers & more.

Geographic & Mapping Data: ✅ Latitude & longitude coordinates for precise location tracking. ✅ Country, state, city, and postal code classifications. ✅ Business status tracking – Open, temporarily closed, permanently closed.

Continuous Discovery & Regular Updates: ✅ New locations added frequently to ensure fresh data. ✅ Updated business metadata, reflecting new openings, closures & status changes.

Detailed Business & Address Metadata: ✅ Company name, category, & subcategories for industry segmentation. ✅ Business contact details, including phone number & website (if available). ✅ Operating hours for businesses with scheduling data.

Optimized for Mapping & Location Intelligence: ✅ Supports GIS, real estate analysis & smart city planning. ✅ Enhances navigation & mapping solutions with structured geographic data. ✅ Helps businesses optimize site selection & expansion strategies.

Bulk Data Delivery (NO API): ✅ Delivered via S3 Bucket or cloud storage for full dataset access. ✅ Available in a structured format (.json) for easy integration.

🏆 Primary Use Cases:

Location Intelligence & Mapping: 🔹 Power GIS platforms & digital maps with structured geographic data. 🔹 Integrate accurate location insights into real estate, logistics & market analysis.

Retail Expansion & Business Planning: 🔹 Identify high-traffic locations & competitors for strategic site selection. 🔹 Analyze brand distribution & presence across different industries & regions.

Market Research & Competitive Analysis: 🔹 Track openings, closures & business density to assess industry trends. 🔹 Benchmark competitors based on location data & geographic presence.

Smart City & Infrastructure Planning: 🔹 Optimize city development projects with accurate POI & business location data. 🔹 Support public & commercial zoning strategies with real-world business insights.

💡 Why Choose Xverum’s Location Data? - 230M+ Verified Locations – One of the largest & most structured location datasets available. - Global Coverage – Spanning 249+ countries, with diverse business & industry data. - Regular Updates – Continuous discovery & refresh cycles ensure data accuracy. - Comprehensive Geographic & Business Metadata – Coordinates, addresses, industry categories & more. - Bulk Dataset Delivery (NO API) – Seamless access via S3 Bucket or cloud storage. - 100% Compliant – Ethically sourced & legally compliant.

Access Xverum’s 230M+ Location Data for mapping, geographic analysis & business intelligence. Request a free sample or contact us to customize your dataset today!

The Dataset shows all the types of data used for the analysis of the Collaborative Data Governance project with Barcelona, therefore both the identified points of interest (POI), the identified areas, and the Isochrons for each area of interest.

This data set comes from Gaode Map and is provided by Beijing Guoxin Hongshu Science and Technology Co., Ltd. which is a cooperative enterprise of the National Information Center. It covers the total data up to September 30, 2018, and the whole country. The total data is more than 65.3 million. POI is the abbreviation of "Point of Interest", which can be translated into "兴趣点" in Chinese. In GIS, a POI can be a house, a shop, a mailbox, a bus stop, etc. This data contains eight core fields, including POI name, type, address, location, province name, city name, area name of POI, and area code of POI. The data format is CSV and the code is GBK. (users can download data files after login)

The dataset shows the mapping of the Points of Interest (POI) detected in the city of Bologna, used within the use case developed as part of the project "For a collaborative governance of community data" carried out in collaboration with the city of Barcelona. The above mentioned project was pursued to define the "Data Sharing" guidelines. To achieve this goal, the use case was identified as that of the "City in 15 minutes" considered suitable for evaluating constraints and opportunities related to the theme of data sharing.In this dataset are exposed the POIs related to the Areas of Interest identified for the composition of the use case:Piazza MaggiorePiazza di Porta RavegnanaPiazza dell'UnitàGiardini Margherita The points of interest refer to the following types: LibraryMuseums, Galleries, Historical places and theatresEventSchoolHealthcare facilitiesGreen areaNeighborhood houseGarden area At the following addresses you can instead consult the overall dashboards created to support the identified use case, relating to the four selected areas: Piazza MaggiorePiazza di Porta RavegnanaPiazza dell'UnitàGiardini Margherita

Points of sale (PoS) and other points of interest (POI) are now the most frequently used point data: Hardly any map display on the Internet can do without them. PTV GmbH also offers a large number of other point data for example location files, kindergartens and schools, house coordinates and others.

Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.

With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.

🔥 Key Features:

Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.

Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.

Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.

Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.

Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.

Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.

🏆Primary Use Cases:

Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.

Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.

Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.

Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.

💡 Why Choose Xverum’s POI Data?

• 230M+ Verified POI Records – One of the largest & most detailed location datasets available.
• Global Coverage – POI data from 249+ countries, covering all major business sectors.
• Regular Updates – Ensuring accurate tracking of business openings & closures.
• Comprehensive Geographic & Business Data – Coordinates, addresses, categories, and more.
• Bulk Dataset Delivery – S3 Bucket & cloud storage delivery for full dataset access.
• 100% Compliant – Ethically sourced, privacy-compliant data.

Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!

The combination of spatial distribution, semantic characteristics, and sometimes temporal dynamics of POIs inside a geographic region can capture its unique land use characteristics. We developed a scalable POI-based land use modeling framework. By combining POIs with a neural network language model, we developed a spatially explicit approach to learn the embedding representation of POIs and AOIs. We trained supervised classifiers using AOI embeddings as input features to predict AOI land use at different semantic granularities.

This Web Map is a subset of OpenStreetMap POI for Asia Feature Layer to focus on Central Asia and Caucasus Region. If you would like to access the data please use the feature layer that provides access to OpenStreetMap. This feature layer provides access to OpenStreetMap (OSM) point of interest (POI) data for Asia, which is updated every 1-2 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. The layer includes POIs with a large number of tags, including amenity, shop, tourism, and several more.Zoom in to large scales (e.g. City level or 1:80k scale) to see the POI features display. You can click on the feature to get the name of the POI. The name of the POI will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.

Map Poi Closeup

## Overview

Map Poi Closeup is a dataset for object detection tasks - it contains Icon Map annotations for 822 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Real-time API access to rich Business Listings Data of 200M+ local businesses & POI worldwide, in any category. The API serves business data points such as name, category, phone number, emails, website, reviews, photos, social links, and more.

Our North America Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and North America scaled POI data featuring over 28 million verified locations across 2 countries. We have been providing this data to companies worldwide for 30 years.

• Develop mapping and navigation tools and software.
• Identify new areas and locations suitable for business development.
• Analyze the presence of competitors and nearby populations.
• Optimize routes to enhance delivery efficiency.
• Evaluate property values based on nearby infrastructure.
• Support disaster management by identifying high-risk areas.
• Promote your products and services using geotargeting strategies.

Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

Places of Interest(POI) within the City of Detroit from Overture Map's Open Source Places dataset.Overture releases its datasets and schema monthly under open data licenses, making them accessible to the global community.https://docs.overturemaps.org/getting-data/#13.89/47.61736/-122.32546/0/4502-19-2025

PTV Kindergartens and Schools contains approx. 80,000 geocoded addresses of day nurseries and schools in Germany. In addition to name, address and geographic coordinates, additional information about school type and number of students is included.

Map that supplies the Point of Interest application

Two types of data were used to support UFZ mapping in the GBA: POI data and road networks. The POI data were extracted from a Chinese online map platform, AutoNavi Map , in January 2024, totalling 1,927,094 records. Each record included latitude, longitude, and attribute information of categories. The road networks were downloaded from OpenStreetMap as vector data, which included hierarchical information, arranged in descending order as: 'primary roads', 'secondary roads', 'tertiary roads', 'minor roads', and 'other roads'.

This map layer is a subset of the Columbus Points of Interest layer and shows office facilities in the City of Columbus. Corporate and non-profit offices are included. This layer is maintained through a cooperative effort by multiple departments of the City of Columbus using first-hand knowledge of the area as well as a variety of authoritative data sources. While significant effort is made to ensure the data is as accurate and comprehensive as possible, some points of interest may be excluded and included points may not be immediately updated as change occurs.

This map layer is a subset of the Columbus Points of Interest layer and shows industrial facilities in the City of Columbus. This layer is maintained through a cooperative effort by multiple departments of the City of Columbus using first-hand knowledge of the area as well as a variety of authoritative data sources. While significant effort is made to ensure the data is as accurate and comprehensive as possible, some points of interest may be excluded and included points may not be immediately updated as change occurs.

The data and codes of "A POI selection method based on GCN considering annotation conflicts during map scale transformation". For details, please see the documentation in the file.