Geospatial Data Providers: Companies, Services, and Products

Organizations across retail, real estate, insurance, government, and technology are increasingly turning to geospatial data to explain why things happen in specific places and not others. But sourcing that data requires knowing which providers exist, what types of data they offer, and which are the best fit for your use case.

This guide covers the top geospatial data providers across every major data category, including POI data, property records, demographics, environmental risk, and boundaries. You will also find a comparison table, FAQs, and key takeaways to help you make the right vendor decision faster.

For deeper context on how location data is used across industries, see SafeGraph’s guide to the uses of geospatial data and our overview of geospatial data types.

What Are Geospatial Data Providers?

Geospatial data providers are organizations that collect, process, and distribute location-based data. They include government agencies, academic institutions, private corporations, and data-as-a-service companies whose primary business is turning raw spatial information into usable, structured datasets.

The types of data they produce range from points of interest (POI) and building footprints to administrative boundaries, demographic profiles, environmental risk scores, and street-level routing information.

What is geospatial data as a service?

Geospatial data as a service (DaaS) is the segment of the industry where private companies collect and standardize location data so other organizations can buy it rather than build it themselves. Most businesses lack the engineering infrastructure and data science resources to source, clean, deduplicate, and maintain accurate location datasets at scale. DaaS companies solve that problem by doing the heavy lifting and selling the output as regularly updated, ready-to-integrate files or APIs.

Real-world applications include retail site selection, trade area analysis, insurance risk modeling, infrastructure planning, competitive intelligence, and investment research. If you want to understand how the geospatial data supply chain works end to end, that guide is a good companion to this one.

Geospatial Data Providers: Quick Comparison

The 29 Best Geospatial Data Providers

The providers below span public and private sectors, specialist and generalist coverage, and API-first to bulk file delivery. Several also bundle analytics platforms alongside their data.

1. SafeGraph

Data types: POI | Geometry | Address
Cost: Contact for pricing (bulk and per-use options available)
Best for: Site selection, trade area analysis, geofencing, analytics platforms, AI enrichment

SafeGraph is a specialized geospatial data company focused on three core products: Places, Geometry, and Address. Its Places dataset covers 75 million-plus POIs across 250 countries, with monthly updates that capture new openings, closures, hours changes, and category reclassifications. Unlike many POI providers that only deliver centroid coordinates, SafeGraph’s Geometry dataset provides machine-generated and human-verified building footprint polygons, enabling precise spatial attribution for each location. The Address product provides structured, geocoded address data optimized for global location intelligence workflows.

SafeGraph data is delivered in clean, analysis-ready CSV format and is available via S3, REST API, and cloud platforms including Databricks, Snowflake, and AWS. It uses Placekey as a persistent, universal identifier that makes joining SafeGraph data to third-party datasets straightforward. Attributes include business name, brand affiliation, NAICS codes, open and closed dates, hours of operation, category tags, and precise geographic coordinates. Clients including Sysco, Domino’s, Clear Channel, Plaid, and Avison Young use SafeGraph data to power transaction enrichment, competitive benchmarking, and market analysis. For a detailed look at the data schema and methodology, see SafeGraph’s technical guide to Places data.

2. CAP Locations

Data types: POI | Property
Cost: $0.05/record; charged per dataset
Best for: Retail and shopping center location intelligence in North America

CAP Locations specializes in point of interest and building footprint data for the restaurant and retail sectors in the US and Canada. Its database covers over 1.2 million restaurants and retail stores, with particular depth around shopping centers: it maintains comprehensive spatial hierarchy data for over 42,000 malls and similar retail centers across both countries. If your use case centers on understanding retail tenant mix, shopping center catchment areas, or chain-level location distribution in North America, CAP Locations is a purpose-built option.

3. BA45

Data types: Property
Cost: $0.005/record; charged per dataset
Best for: Affordable, attribute-rich US residential and commercial property data

BA45 maintains a database of over 125 million residential and commercial properties across the United States, with a schema covering more than 85 attributes per record. These attributes include construction materials, year built, available amenities, number of stories, garage presence, HVAC type, and most recent sale price. At half a cent per record, BA45 is among the most cost-efficient property data options available. It is a strong starting point for underwriters, real estate analysts, and site evaluators who need broad US property coverage without a large data budget.

4. First American Data and Analytics

Data types: Property
Cost: $0.05/record; charged per dataset
Best for: Real estate financial risk analysis, mortgage underwriting

First American Data and Analytics (part of First American Financial Corporation) specializes in property-level data attributes tied to residential real estate transactions across the United States. Its dataset covers the full US housing market and emphasizes attributes relevant to buying, selling, leasing, and mortgaging: valuation history, ownership records, encumbrances, and title-related data. This makes it a natural fit for mortgage lenders, residential insurers, and real estate investment firms that need financial and transactional property context rather than pure geospatial attributes.

5. Regrid

Data types: Property | Address
Cost: Contact for pricing (bulk licensing, county-level purchase, and API options available)
Best for: Nationwide US and Canadian parcel boundary and land data

Regrid (formerly Loveland Technologies) has achieved 100% parcel coverage across every US county, covering over 149 million parcels. Its standard dataset includes parcel boundaries, ownership records, addresses, and land use classifications. Premium tiers add standardized building footprints matched to parcel records, over 73 million address records, zoning data, and a biodiversity score through a recent partnership with NatureServe. In 2025, Regrid launched its Roadway ROW Polygon Data, the first nationwide planning-grade dataset covering roadway rights-of-way across the US.

Data is delivered via bulk file, API, Esri Feature Service, and cloud platforms. Regrid also maintains a Regrid ID that links to the Overture Maps Foundation’s GERS ID, making it easier to join parcel data with other location datasets. Updates roll on a monthly basis. It integrates with Esri, Leaflet, Mapbox, and QGIS environments.

6. Locomizer

Data types: POI | Mobility
Cost: $0.02 to $0.05/record; charged per dataset
Best for: UK footfall measurement and brand affinity modeling

Locomizer uses machine learning to measure general footfall around points of interest and to estimate behavioral affinity, meaning how likely visitors near a given POI are to engage in specific brand-relevant activities such as shopping, dining, sports, or entertainment. Its primary coverage is the United Kingdom, though some international data is available. Locomizer is most useful for UK-focused out-of-home advertising, retail planning, and location-based audience segmentation.

7. Veraset

Data types: Mobility
Cost: Contact for pricing
Best for: Global visit and movement datasets around commercial POIs

Veraset provides two core datasets. Its Movements dataset covers anonymized location activity around major points of interest in over 150 countries, including geographic coordinates and timestamps. Its Visits dataset combines movement data with property profiles on over 6 million US commercial buildings to determine whether a device actually visited a specific business and when. Veraset is particularly relevant for teams building location-based advertising attribution models, measuring retail performance, or conducting trade area research. For an overview of how SafeGraph’s POI and Geometry data works alongside mobility providers like Veraset, see the guide to location-based marketing.

8. US Census Bureau

Data types: Demographics
Cost: Free
Best for: Public demographic data at the block group level

The US Census Bureau is the federal agency responsible for collecting and publishing demographic and socioeconomic data across the United States. Its American Community Survey (ACS) provides detailed data on population, income, education, household composition, and housing by geography down to census block groups. While the raw data is publicly available, it is not always structured for easy integration. SafeGraph has published a cleaned and formatted version of ACS data designed to work directly with geospatial analytics workflows.

9. Spatial.ai

Data types: Demographics
Cost: Contact for pricing
Best for: Lifestyle-based consumer segmentation for site selection and marketing

Spatial.ai produces what it calls “geosocial data,” derived from billions of geotagged social media posts organized into 72 behavioral consumer segments. These segments go beyond standard demographic categories to capture lifestyle interests including wellness, outdoor activities, faith, entertainment, dining habits, and more. Coverage spans every US and Canadian census block group. Customers including Ford, Phillips Edison, and Keller Williams use Spatial.ai’s PersonaLive product to understand who lives and shops near specific locations, predict sales performance, and inform site selection decisions. It is integrated into Esri’s ArcGIS Marketplace and CARTO’s Data Observatory.

10. Esri

Data types: POI | Property | Demographics | Boundaries | Environmental | Streets | Imagery Cost: Annual subscription to ArcGIS platform (includes data access)
Best for: Enterprise GIS teams needing a full-stack platform and multi-source data ecosystem

Esri is the world’s dominant GIS software company and the creator of ArcGIS, used by 70% of the world’s largest companies and 95% of the largest national governments. Beyond being a platform, Esri aggregates data from dozens of premium partners, including SafeGraph (via ArcGIS Places), to provide organizations with access to nearly every geospatial data category in one environment.

In 2025, ArcGIS Online received several significant updates: AI assistants in preview for Arcade expression authoring, real-time IoT data feeds via ArcGIS Velocity, expanded imagery analysis tools, and deeper Autodesk BIM integration via ArcGIS GeoBIM. ArcGIS Pro 3.7 added more than 100 pretrained machine learning models for spatial analysis. The platform supports on-premises, cloud-native, and hybrid deployments. For teams that need to run spatial analysis across multiple data types within a governed enterprise environment, Esri remains the default choice in most industries.

11. Infutor

Data types: Property | Demographics | Address
Cost: $0.01/record; $8,000 to $10,000/month
Best for: Consumer profile enrichment with address and demographic context

Infutor combines property data with transactional and demographic attributes to build anonymized consumer profiles covering over 260 million Americans. It also maintains address data for over 360 million US locations, including geographic coordinates. Teams use Infutor for direct marketing enrichment, identity resolution, and geographic audience segmentation. Its combination of property, demographic, and address coverage in a single product makes it useful for organizations that need consumer context layered onto location data.

12. US Department of Transportation

Data types: Address
Cost: Free
Best for: Reference-quality street address data at national scale

The US Department of Transportation maintains the National Address Database (NAD), a publicly available repository containing over 65 million confirmed US street address records sourced from state and local government contributors. The NAD is updated periodically and serves as a foundation for geocoding workflows, 911 dispatch systems, and infrastructure planning. It is one of the most authoritative open address datasets in the United States.

13. Trust for Public Land

Data types: POI | Property | Boundaries | Demographics
Cost: Free
Best for: Public park boundaries and associated demographic context

The Trust for Public Land (TPL) maintains ParkServe, a geospatial dataset covering park boundaries, property information, and nearby population demographics across nearly 14,000 communities in the United States. It is one of the most authoritative open sources of US public park geography. Urban planners, public health researchers, equity analysts, and government agencies use TPL data to measure park access and identify underserved communities.

14. CARTO

Data types: Multi-type via Data Observatory (POI, property, demographics, environmental, streets, and more)
Cost: Annual subscription to SaaS platform; data marketplace pricing varies by dataset
Best for: Cloud-native spatial analytics, agentic GIS workflows, and enterprise location intelligence

CARTO is a cloud-native spatial analytics platform that runs natively on Google BigQuery, Snowflake, AWS Redshift, Databricks, and other major data warehouses. Rather than requiring data exports, CARTO runs spatial queries and visualizations directly inside your existing cloud environment. Its Data Observatory provides access to over 12,000 datasets from providers including Experian, SafeGraph, TomTom, and Overture Maps.

In 2025, CARTO introduced Agentic GIS, a framework that deploys AI Agents capable of performing geospatial analysis in response to natural language queries. It also launched MCP Tool support, allowing CARTO Workflows to function as tools within external AI pipelines. CARTO Workflows provides hundreds of low-code, drag-and-drop spatial analysis components. In Q4 2025, CARTO added Analytics on Embeddings support, enabling foundation model analysis directly within spatial workflows. Notable clients include EQT, BT Group, TELUS, and Cotality.

15. Tomorrow.io

Data types: Environmental (weather)
Cost: Flexible; free API tier available; enterprise platform pricing based on team size and monitored locations
Best for: Operational weather intelligence across aviation, logistics, insurance, energy, and agriculture

Tomorrow.io is a Boston-based weather intelligence company that has evolved far beyond a data provider into a full operational resilience platform. As of February 2026, it reached unicorn status after raising $175 million and operates a 13-satellite constellation in low Earth orbit with a 60-minute global revisit rate. Its proprietary FOCUS forecast model is designed for US operational use cases and produces continuous updates that integrate with routing, scheduling, and alert systems.

The platform offers 60-plus hyperlocal weather layers including real-time conditions, 14-day forecasts, historical data going back 20 years, and AI-generated incident logs through its Gale generative weather AI. In March 2025, Tomorrow.io announced an NVIDIA collaboration centered on the NVIDIA Earth-2 AI climate modeling platform. In February 2026, the company launched DeepSky, a next-generation satellite constellation for higher-resolution atmospheric sensing. Clients include Delta, JetBlue, Uber, Ford, and the US Department of Defense.

16. ClimateCheck

Data types: Property | Environmental
Cost: $0.05/record; also available via API, portfolio reporting, and bulk data licensing
Best for: Property-level climate risk scoring for real estate, insurance, and investment

ClimateCheck provides physical climate risk ratings on a 1-to-100 scale for properties across the US, Canada, and globally, covering five hazard categories: heat, precipitation, drought, flood, and wildfire. Ratings are produced by a team of PhD scientists synthesizing over 30 internationally accepted climate models, with projections through 2050. Coverage goes down to the parcel level for flood risk (as granular as 10 square meters) and the regional level for heat risk.

ClimateCheck is actively used by real estate firms, lenders, environmental consultants, and investment trusts including KPMG, Green Street, and ATTOM-affiliated platforms. Following California’s SB 261 and the 2025 LA wildfires, demand for property-level climate risk data has grown sharply. Reports are available instantly via API or as portfolio-level analyses, and the data is accessible through Dewey for academic research. ClimateCheck covers properties worldwide, not just the US, though granularity varies by hazard and geography.

17. CustomWeather

Data types: Environmental
Cost: $0.02/record
Best for: Historical, current, and forecast weather data from a broad global sensor network

CustomWeather aggregates weather data from over 80,000 stations worldwide and provides daily, monthly, and year-over-year weather datasets covering attributes including temperature, humidity, wind speed, dew point, visibility, and precipitation totals. It is a useful option for teams that need structured, consistently formatted weather data for bulk analysis rather than operational alerting. Use cases include actuarial modeling, supply chain planning, and agriculture analytics.

18. Mapbox

Data types: Boundaries | Streets | Navigation | Imagery
Cost: Annual subscriptions based on geographic region and usage tier
Best for: Developer-facing mapping platforms, boundary datasets, routing, and geofencing APIs

Mapbox is one of the world’s most widely used location technology platforms, with over half a billion monthly active users generating traffic, movement, and location signals that feed into its datasets. Its Boundaries product covers over 4 million global jurisdictional units across administrative, legislative, postal, statistical, and locality layers, with Boundaries v4.6 adding over 75,000 new boundaries across the Americas, Europe, and Asia-Pacific in 2025.

The Mapbox Spring 2025 release introduced a new Geofencing API for iOS and Android, incremental tileset updates (so only changed data needs to be reprocessed), and a weather visualization capability. In 2025, Mapbox also launched a Location Agent demo powered by MCP Server integration, enabling natural language queries against its map APIs. Traffic data, live routing, and navigation SDKs are used by companies including BMW, T-Mobile, and The Weather Company. If you need structured, cartographically accurate boundary data for BI dashboards or spatial analysis, Mapbox Boundaries is one of the most comprehensive options globally.

19. Bing (Microsoft)

Data types: POI | Address | Environmental | Streets | Imagery
Cost: Contact for pricing
Best for: Geocoding, spatial data storage, and imagery-powered applications

Bing provides a Spatial Data Services API that enables developers to store, query, and geocode custom location data. Bing’s imagery infrastructure powers many third-party mapping applications, and its Places APIs cover a broad range of POI categories globally. It is a reasonable option for Microsoft-aligned organizations already working within Azure and looking for integrated geocoding and mapping services.

20. CarePrecise

Data types: POI | Demographics
Cost: $0.05/record; other pricing based on product and license term
Best for: Healthcare facility location data and provider demographics

CarePrecise maintains a geospatial dataset covering over 6 million US healthcare providers, spanning hospitals, specialist clinics, outpatient centers, and individual practices. Attributes include facility classification, procedure volumes, contact information, affiliated health organizations, and anonymized patient and employee demographics. It is a specialized resource for healthcare market analysis, network planning, and site selection in the medical sector.

21. Netwise

Data types: POI | Demographics
Cost: Up to $0.02/record; contact sales for custom options
Best for: B2B marketing intelligence and company-level location data

Netwise specializes in business-to-business data, maintaining information on over 30 million US companies including anonymized employee demographics and customer profiles. For organizations that need to identify, segment, and reach business customers by location and company characteristics, Netwise provides a cost-efficient data source. It is commonly used in lead generation, sales territory planning, and B2B campaign targeting.

22. DatabaseUSA

Data types: POI | Demographics
Cost: Contact for pricing
Best for: US business directories with high coverage of new company additions

DatabaseUSA focuses on US business-to-business data and maintains records on over 15 million American companies, with reported additions of over 40,000 new businesses per week. It also provides anonymized consumer demographic data on over 260 million Americans segmented by professional, customer, and homeowner profiles. It is primarily used for marketing list building and direct outreach campaigns.

23. Transparent

Data types: Property | Address
Cost: $0.05/record; charged per dataset
Best for: Short-term rental property intelligence globally

Transparent provides data on over 35 million short-term rental properties worldwide that have been listed across platforms such as Airbnb and Vrbo. Its dataset includes more than 50 attributes per record: property type, occupant capacity, minimum stay requirements, nightly rate ranges, and geographic coordinates. It is the go-to source for hospitality analytics, real estate investment analysis, and competitive benchmarking in the short-term rental market.

24. Vertical Knowledge

Data types: POI | Property | Mobility | Demographics
Cost: $0.05/record; approximately $800 to $7,000/month (average $2,500 to $3,000/month) Best for: Aggregated web-sourced intelligence across multiple location data categories

Vertical Knowledge collects and processes publicly available web data across a wide range of categories, including rental properties, retail brands, automotive transactions, air and sea travel, and corporate demographics. Because it aggregates from open web sources, its dataset has breadth across use cases, though depth per record may vary compared to specialized providers. It is most relevant for alternative data buyers and investment research firms that need multi-sector location data from a single vendor.

25. HARNESS Data

Data types: POI | Property | Address
Cost: $0.005/record; charged per dataset
Best for: UK commercial property and location data

HARNESS Data is a UK-focused location data firm providing comprehensive information on commercial properties throughout Great Britain. Its data covers property attributes, geospatial coordinates, and address-level information, and it includes an address-matching utility that validates whether an address corresponds to a real, consistently formatted UK location. It is an affordable option for organizations with UK-specific location data requirements.

26. Greenwich.HR

Data types: Demographics
Cost: $0.05/record; charged per dataset
Best for: Corporate workforce demographics and hiring intelligence globally

Greenwich.HR provides structured data on positions across more than 5 million companies in over 200 countries, covering over 85,000 attributes including job title taxonomies, compensation ranges, headcount trends, and hiring activity. Organizations use it for competitive intelligence, market sizing, sales prospecting, and human capital research.

27. SMR Research

Data types: POI | Property
Cost: $0.05/record; $4/report
Best for: Commercial real estate attributes beyond what public records provide

SMR Research specializes in commercial real estate data with attributes that public assessor records rarely include: building tenant information, net rentable square footage, owner contact details, property use classification, and spatial hierarchy metadata for multi-unit properties such as office parks and retail malls. It also provides valuation and financial data relevant to insurance underwriting and credit risk assessment. It is a niche but useful source for commercial real estate professionals who need more granular property intelligence than standard databases offer.

28. CRED iQ

Data types: POI | Property | Address
Cost: $0.05/record or $300 to $400/user/month; limited free tier available
Best for: Commercial real estate finance data, particularly CRE loan and lease intelligence

CRED iQ covers over 140,000 commercial real estate parcels in the United States, with basic property and address data complemented by finance-related attributes where applicable. These include lease durations, loan terms, current occupancy rates, and debt service coverage metrics. It is widely used by CRE lenders, special servicers, and investors who need both location context and financial performance data for commercial properties in a single source.

29. GoWeeWee

Data types: POI
Cost: $0.02/record
Best for: Public restroom location data globally

GoWeeWee maintains a global database of over 230,000 public restrooms. Attributes include gender designation (including gender-neutral options), baby-changing facility availability, accessibility features, and most recent cleaning timestamp. While highly specialized, it is used in travel apps, accessibility platforms, and urban planning applications where restroom access is a relevant data layer.

Closing Thoughts

Choosing a geospatial data provider is not a one-time decision. As your use cases grow and your data stack matures, you will likely layer multiple providers, combining POI data with property records, demographic profiles, or environmental risk scores to build a more complete picture.

The providers in this guide represent the current best options across every major category. But the right starting point depends on your geography, your use case, and how the data fits into your existing workflows. Freshness, coverage depth, delivery format, and licensing terms all matter as much as the data itself.

If your work involves any dimension of physical location intelligence, including mapping, site selection, competitive analysis, or geofencing, SafeGraph’s Places and Geometry datasets are built to be the foundational layer that other data types build on. Schedule a demo to see how the data fits your specific use case.

For further reading, see SafeGraph’s guides on geospatial data sources, POI data providers, and store location data.