SafeGraph provided comprehensive, accurate geospatial data and foot traffic insights that enabled businesses and researchers to understand physical world patterns and make data-driven location decisions.
Last updated Mar 7, 2026 by AI Enrichment
Leading provider of POI and foot traffic data before shutdown
SafeGraph was a geospatial data and location intelligence company that aggregated and provided detailed information about physical places and foot traffic patterns. The company collected data on millions of points of interest (POIs) worldwide, including business locations, operating hours, visitor patterns, and demographic information. SafeGraph's datasets were widely used by real estate investors, retailers, marketers, researchers, and data scientists for site selection, market analysis, competitive intelligence, and understanding consumer behavior patterns. Founded in 2016, SafeGraph positioned itself as a critical data infrastructure provider in the location intelligence space, offering both free and paid datasets through a data-as-a-service model. The company gained significant traction in the research community and among commercial clients who needed granular location data for analytics and decision-making. However, SafeGraph faced increasing scrutiny over privacy concerns related to its collection and sale of location data. In late 2022, SafeGraph announced it would wind down operations, citing challenges in the business environment and regulatory landscape. The company's data products were discontinued, and its assets were eventually acquired by other entities in the data and analytics space. SafeGraph's closure marked a significant shift in the location data industry, reflecting growing privacy concerns and regulatory pressures around the collection and commercialization of consumer movement data.
Core POI dataset containing detailed information about millions of physical locations including names, addresses, categories, and operating hours
Foot traffic and visit data showing consumer movement patterns to physical locations
Building footprints and polygon data for physical locations
Consumer spending data aggregated at the location level