Our Point Of Interest (POI) Data links people's movements to over 14 million physical locations worldwide. This aggregated and anonymized data provides context for visit volumes and patterns, compiled from diverse global sources.

Reach

We calculate POI, Place, and OOH level insights using Factori's Mobility & People Graph data from multiple sources. To attribute foot traffic accurately, we combine specific attributes such as location ID, day of the week, and time of day, yielding up to 40 possible data records for a single POI. This method ensures precise location intelligence data.

Data Export Methodology

Our dynamic data collection process ensures the most up-to-date information and insights are delivered at optimal intervals, whether daily, weekly, or monthly.

Use Cases

Point Of Interest (POI) Data is invaluable for credit scoring, retail analytics, market intelligence, and urban planning, providing a robust foundation for data-driven decision-making and strategic planning.

dataplor’s location intelligence for the U.S. addresses a significant gap in location intelligence by combining precise POI data with accurate visitation counts. Traditionally, businesses rely on demographic or static market data, which often fails to capture the dynamic nature of consumer behavior. By including foot traffic insights, businesses can gauge not just the market potential of a location but also its real-world popularity and activity patterns. This enhanced perspective allows users to:

(1) Assess economic trends and evolving consumer interests. (2) Benchmark competitor performance with greater accuracy. (3) Pinpoint underserved market opportunities. (4) Develop precise, data-driven forecasts.

By providing GDPR-compliant, non-PII mobility data paired with the most comprehensive location data for the United States, our product ensures businesses can act with confidence while maintaining data privacy standards. dataplor's datasets include 55+ attributes such as:

• Unique, Static dataplor ID
• Business Name
• Main/Sub/Business Categories
• Chain ID/Name
• Home Address
• Neighborhood
• City, State, Postal, Country
• Latitude/Longitude
• Open/Closed Status
• Visit Counts
• Confidence Scoring
• First Opened
• Popularity Indices
• Sentiment Indices and more

Techsalerator covers all POI's (Point of Interest) of businesses in France. Through our diligent local sourcing, we are able to provide location of businesses in France.

This include: address/Zip Code/ County / State/ Country + Lat/Long.

Companies utilize our POI's to enhance their publishing universe, geo-mapping and to create identity graphs.

The Points of Interest (POI) web service provides the identification and location of a feature, service or activity that people may want to see, know about or visit. POI features for this service are primarily derived from features maintained within the Digital Topographic Database (DTDB). The POI feature class is maintained programmatically (automated) by sourcing spatial and aspatial attributes from other feature classes in the DTDB that contain POI features. The midpoint of a line or polygon features is used to define the POI. Points of Interest include features related to Community, Education, Recreation, Transportation, Utility, or Hydrography, Physiography and Place, and defined as a place with a prescribed name. The attribute information for an individual dataset may have been thinned or modifed to cater for the service. The service is available in a cached environment only. This dataset is compliant with the NSW FSDF and its specifications. For details information for each individual dataset contained in this web services.

NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.

The Points Of Interest points are a compilation of what the different city agencies consider to be a Common Place or Place/Point of Interest. Previously posted versions of the data are retained to comply with Local Law 106 of 2015 and can be provided upon request made to Open Data.

Also known as place names. The dataset contains locations and attributes of address alias points, created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and participating DC government agencies. It contains address alias names in the District of Columbia which are typically placed on buildings. These alias names represent named features such as: - Schools - Federal Buildings - Military Installations - Hospitals - Museums - Monuments - University Structures - Fire and Police Stations - Libraries - Metro Facilities - Historical Landmarks - Recreation Centers - Mile Markers - Marinas and more. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the AddressAliasPt is called PLACE_NAMES_PT and features additional useful information such as created date, last edited date, begin date, and more.

dataplor's Global Point of Interest (POI) Dataset provides expansive location and detailed geographic data used by businesses worldwide to enhance their operational strategies. dataplor’s POI data offers a rich set of 55+ attributes that provide in-depth insights into each location.

Key data attributes include: - Business name - Business Category - Product Category - Address - Latitude and longitude - NAIC - SIC - H3 Index - Phone number - Website - Opening hours - Visitation Counts - Building Polygon

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.

Massive 3.5M+ POI database covering extensive places data across multiple industries in the US and Canada. Includes automotive, retail, food and dining, healthcare, education, and more. Essential for thorough multi-industry market research and strategic planning across various sectors.

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)

This point of interests dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 05 August 2020. Its purpose is to display points within Australia which people may find of interest, this is not limited to major landmarks and include simple amenities. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki and the Points of Interest. Please note: The original data for this dataset has been downloaded from Geofabrik on 05 August 2020.

Extensive POI dataset covering all Walmart and Sam's Club locations in the US and Canada. Provides accurate geographical data for these major retail chains. Valuable for competitive analysis, site selection, and consumer behavior studies in the retail sector.

GapMaps curates up-to-date and high-quality Point of Interest (POI) datasets tracking store openings and closures for leading retail brands across Asia and MENA. Get the insights you need to make more accurate and informed business decisions.

Our Places dataset features 82M+ POIs across retail, food, services, financial services and more, in Europe, NA, and LATAM. Attributes like address and opening hours empower strategic decisions and competitive intelligence.

Point of Interest Data Solutions Market is projected to reach USD 531.92 million by 2031, growing at a CAGR of 8.9% from 2023-2031.

By 2034, the Points-Of-Interest (POI) Data Solutions Market is expected to reach a valuation of USD 8 bn, expanding at a healthy CAGR of 10%.

GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for leading retail brands in Indonesia across 16 categories. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.

Points-of-Interest (POI) Data Solutions Market Outlook

The Points-of-Interest (POI) Data Solutions market is experiencing robust growth, with a market size valued at approximately $2.3 billion in 2023. This market is expected to expand at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2032, reaching an estimated value of $5.9 billion by 2032. The key drivers of this growth include the increasing adoption of location-based services, advancements in geospatial analytics, and the rising demand for personalized customer experiences across various industries.

One of the primary growth factors in the POI data solutions market is the rapid proliferation of mobile devices and the subsequent demand for location-based services. As consumers increasingly rely on smartphones and other mobile devices for navigation, shopping, and social interaction, businesses are investing heavily in POI data to enhance their services. The ability to offer real-time location-based information and personalized experiences is becoming a crucial differentiator for companies looking to engage consumers more effectively and gain a competitive edge. Furthermore, the integration of artificial intelligence and machine learning technologies with POI data is enabling more accurate predictions and improved decision-making, further driving market growth.

Another significant factor contributing to the market's expansion is the growing need for advanced navigation and mapping solutions. With the advent of autonomous vehicles and smart city initiatives, the demand for precise and comprehensive POI data is on the rise. Governments and private sector companies are increasingly investing in geospatial data infrastructure to support these initiatives, thereby fueling the demand for POI data solutions. Additionally, in industries such as transportation, logistics, and real estate, the ability to leverage detailed POI data for route optimization, asset tracking, and location analysis is enhancing operational efficiencies and driving market growth.

The marketing and advertising sector also plays a pivotal role in the expansion of the POI data solutions market. Businesses are leveraging POI data to create targeted marketing campaigns and gain insights into consumer behavior. By understanding the demographic and behavioral patterns associated with specific locations, companies can tailor their advertising strategies to reach their target audience more effectively. This trend is particularly pronounced in the retail sector, where location-based marketing is becoming increasingly prevalent. As businesses continue to recognize the value of hyper-local marketing and the role of POI data in driving customer engagement, the market is poised for further growth.

Regionally, the Points-of-Interest Data Solutions market is witnessing varying levels of growth across different geographies. North America currently holds the largest market share, owing to the early adoption of advanced technologies and the presence of major industry players. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period. The increasing penetration of smartphones, coupled with the rapid development of smart city projects in countries like China and India, is driving the demand for POI data solutions. Meanwhile, Europe and Latin America are also showing steady growth, fueled by advancements in geospatial technology and increasing investments in digital infrastructure.

Component Analysis

The Points-of-Interest (POI) Data Solutions market is broadly segmented into software and services components. On the software side, the increasing demand for advanced analytics and data management solutions is a significant growth driver. Businesses are adopting sophisticated software platforms that enable them to efficiently gather, process, and analyze POI data. These platforms often incorporate features like real-time data integration, machine learning algorithms, and predictive analytics, allowing companies to derive actionable insights from their data. The software component is further boosted by the rise of cloud computing, which offers scalable solutions that can handle large volumes of data with ease.

In contrast, the services segment encompasses a wide array of offerings, including data collection, data integration, consulting, and support services. As organizations strive to leverage POI data more effectively, there is a growing need for expert guidance and support. Service providers are playing a crucial role in helping companies navigate the complexities of data integration and management. The

The global Points-of-Interest (POI) Data Solutions market is expected to exhibit a remarkable growth trajectory, with a CAGR of XX% during the forecast period of 2025-2033. This market is projected to reach a substantial value of XXX million by 2033, indicating its promising growth prospects. The expansion of this market is primarily driven by the increasing demand for accurate and comprehensive POI data from various industries, including retail, real estate, and transportation. The rise of location-based services and the proliferation of mobile devices have further spurred the demand for reliable POI data to enhance user experiences and provide customized recommendations. Key growth drivers for the POI Data Solutions market include the increasing adoption of smartphones and location-based technologies, the rising demand for data-driven decisions in businesses, and the need for real-time information for navigation and exploration. However, the market may face challenges such as data privacy concerns, the availability of free and open-source POI data, and the dependence on third-party data sources for accuracy and completeness. The market is expected to be dominated by North America and Europe, with a significant presence of major players such as Google Cloud, Factual, and HERE Technologies. Asia Pacific is projected to experience notable growth due to the increasing smartphone penetration and the rapid development of smart cities in the region.

Discover our European Places dataset featuring POIs across retail, food, services, financial services and more. Detailed attributes like address and opening hours empower strategic decisions and competitive intelligence.