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Geospatial Data

Geospatial data refers to facts that relate to a specific object or area located on the surface of the Earth. Geospatial data can be linked to either static assets (e.g. buildings) or assets in motion (e.g. vehicles). Datarade helps you find geospatial data APIs and datasets.

Top Geospatial Data APIs, Datasets, and Databases

Find the top commercial Geospatial Data sets, feeds and streams.

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Premium Partner

OnPoint Geospatial

by Weather Source
Weather Source's OnPoint Geospatial products help your organization effectively visualize weather and climate trends.
Quality100% gap-free and error corrected
+ 246 others
History8 years of past data available
Use CaseLocation Intelligence, Analytics + 3 more
Pricing available upon request
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POI Data

by Matrixian Group
With our large amount of POIs, such as petrol stations, restaurants, shops and supermarkets, we can easily map locations. This does not only give insight into business opportunities, but also tells...
+ 246 others
Use CaseData Enrichment, Location Insights + 2 more
Pricing available upon request
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Raw data

by Teragence
Raw dataset of individual measurements, covering handset type, network operator, technology, network KPI's and location and time stamps for further manipulation
Pricing available upon request
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by Reveal Mobile
VISIT Data is a fully customizable location-data solution for enterprise product and analytics teams Mobile location data is an increasingly valuable resource with growing use cases across a wid...
Use CaseOut-of-home (OOH) Advertising, Store Visit Attribution
Pricing available upon request
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HERE Map Data

by MBI Geodata
Industry leading maps - over 900 attributes, powered by millions of data Sources. Street map for displaying background maps, Geomarketing analysis, geocoding your customer’s locations or finding ...
Volume200 (more than) countries globally , 65 million kilometers of roadway
Quality100% highly accurate
+ 244 others
Use CaseGeomarketing (e.g. Expansion and Consolidation analysis), GIS Applications (e.g. MapInfo / Esri) + 3 more
Available Pricing:
One-off purchase
Yearly license
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DDS Data Grid

by DDS Digital Data Services
Gridded data are suitable for most market analyses, for long-term detailed market studies as well as for geographic evaluation of customer data. It is independent of variations of administrative or...
Volume10K meter
United Kingdom
+ 48 others
Use CaseLocation Intelligence, Location Analytics + 3 more
Available Pricing:
One-off purchase
Yearly license
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Personas Data

by Gravy Analytics
Gravy Personas delivers over 350 psychographic classifications for U.S. consumers built on the places and events they visit in the real world. Use Personas data to identify foodies, frequent shoppe...
Volume350 buyer personas, 150M mobile device IDs
Quality100% deterministic data used
History3 years of past data available
Use CaseConsumer Intelligence, Consumer Data Enrichment + 3 more
Starts at
$1 / API call
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Premium Partner

Raw Location Data

by StartApp
Mobile location GPS data with timestamp and ADID, sourced from our proprietary SDK, cleaned, filtered and structured.
History2 years of past data available
Use CaseGeofencing, Behavior-based Audiences + 4 more
Available Pricing:
One-off purchase
Monthly license
Yearly license
Get Sample View Product

Data Validation

by EPIC Translations
. Content Moderation . Geo-Local Data Evaluation . Machine Translation Quality Evaluation
Volume100K sentences, 100K segments
Quality100% match rate
+ 246 others
History12 months of past data available
Pricing available upon request
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GTFS data manager

by Wikiroutes
User-friendly editing tool to operate the database of public transit routes and convert them into GTFS data. Allows database versions, provides analytical tools and access to transit network modell...
History10 years of past data available
Use CaseGeofencing, Urban Mobility Analysis + 1 more
Available Pricing:
One-off purchase
Yearly license
Get Sample View Product

Top Geospatial Data Providers, Vendors, and Companies

Find the top Geospatial Data aggregators, suppliers, and firms.

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Based in United States of America

SafeGraph is a data company. That's it - that's all we do. We predict the past. We want to understand how humans interact with the physical world. We are a market leader in accurate location data. ...


Based in Singapore

Our high-quality mobile location data power companies products, solutions and services. Our data is derived from SDKs to collect granular location datasets. With our location datasets, our clients ...


Based in United States of America helps businesses make their next strategic decision with the help of accurate POI data. Be it business expansion strategies, personalized marketing messages, or understanding competition,...


Based in United States of America

Irys is a data provider offering Location Data and Alternative Data. They are headquartered in United States of America.


Based in United States of America

Unacast is an award-winning human mobility data company that harnesses anonymous device location data, map data, and strategic intelligence to tackle business challenges for the retail, real estate...

Reveal Mobile

Based in United States of America

Reveal Mobile is a leader in location-based analytics, audiences, and foot traffic attribution. Customizable reporting helps enterprises, brands and agencies easily understand the audiences that vi...


Based in United States of America

Founded in 2003, Skyhook invented the industry-standard hybrid positioning technology. Today, the company holds over 650 patents and has a global coverage network of over 5 billion Wi-Fi access po...


Based in United Kingdom

Huq provides real-assets market data to analysts and researchers in finance, real-estate, transport and public sector. Our high-frequency indicator products are used by investment funds with some $...


Based in United Kingdom

Tamoco provides first party mobile geospatial data to understand people movement, store visits and other physical world behaviours.

The Ultimate Guide to Geospatial Data 2021

Learn everything about Geospatial Data. Understand data sources, popular use cases, and data quality.

What is Geospatial Data?

Geospatial data is everywhere. The weather predictions, routes suggested by Google Maps, store locations, geotagged tweets and more – these are nothing but geospatial data. In simple words, geospatial data is any data related to an object which has its position on the earth – a mountain, horse, lake, river, road, building and countless others.
Some common types of geospatial data include:

The position of geospatial data could be static or short-term like an earthquake event, the location of the road, or people living in poverty, or it could be dynamic like the spread of infectious disease, moving car and so on. This data is usually stored as coordinates with respect to the earth with its topology mapped.

Geospatial data is important for a range of users. For instance, information related to public amenities, roads, water bodies, and localities is used as a reference for a large number of purposes. This data is widely available as open data, whether collected by private organizations or public agencies.

Who uses Geospatial Data and for what use cases?

Geospatial data has proved to be a new and reliable source of information for executives, marketers, data team leads, business intelligence teams, and all other entities that use third-party data to derive useful insights. It helps them in decision making and provides a clear representation of their physical assets and customers.

For this reason, geospatial data is increasingly used by businesses to determine the location of their next store, warehouse, real estate asset and the like. Undoubtedly, the right location of your physical asset plays an important role in determining the success of your initiative and this is where geospatial data empowers the businesses.

It provides quick insight into the population around an area. It could also help you in picking areas with maximum activity to conduct roadshows and other activities.

Geospatial data is also widely used by internet and mobile app companies. They want to know which apps are most commonly used in a particular location and how users behave in those regions. This way, geospatial data can work as an enrichment to their existing app usage data sets, enabling the demographic analysis of their audience based on its location.

What are typical Geospatial Data attributes?

The actual attributes of geospatial APIs can vary depending on the data providers. Most providers focus on the coordinates of the earth, while there are others which also bring the characteristics of an event or object into consideration. A lot of other data providers also focus on the time and location of the attributes.

There a many forms of GIS attributes, for example:

  • Location of buildings, cities, countries, and other relevant points of interest
  • The level of congestion or traffic in a certain area
  • Tourism statistics based on location
  • Insight on the lifestyle of customers
  • Sites where renewable resources are found
  • The extent of floods and other natural disasters

A lot of data providers also release weekly reports covering the fluctuations in geospatial data for better and updated insights.

How is Geospatial Data collected?

You want to understand the actual process of the data collection. The entire data collection process could incorporate a range of techniques like field data collection, geographical information science (GIS), data conversion and remote sensing data processing.

Thankfully, collecting geospatial data is now not as tough as it used to be. Companies can now collect related data from various sources. Primary geospatial datasets include light detecting and ranging like LIDAR, remote sensing data like RADAR and so on.

For instance, qualitative land-use maps are generated based on the high-resolution images received from the satellite. On the other hand, quantitative land-use maps can be generated from medium-resolution satellite images. These maps are generally used for conducting a regional-scale study.

In addition to providing us with qualitative and quantitative maps, geospatial data is also important for environmental studies like natural resource management, deforestation, and global warming.
To make the most out of Geospatial data, it is essential to have a proper geospatial database for easy analysis and mapping.

How to assess the quality of Geospatial Data?

Not all data is gold. The quality of data depends on how accurate and precise it is. This is why it is important to analyze the quality of Geospatial data.

For starters, the reputation of the organization from which you have sourced the data could give you a quick indication of the geospatial data quality. There are a lot of websites and organizations that provide good quality Geospatial data. Government organizations are one of them. However, it is essential to verify the data properly.

How can you do that? If it is accounting data, you can check if the numbers add up and make any sense. If it is textual data, you can look for spelling and grammar errors. However, there is no such solution for geospatial data. But you can take the help of tools like ArcGIS Data Reviewer to get insights into errors and data quality.

The most reliable method to verify geospatial data is to do a visual inspection on your own. Use the map data to verify that objects are in the right location. For example, an automobile accident location displayed in lakes can indicate that the data is not reliable. However, this is random and might not be the best way to analyze it

That said, verifying and assessing the quality of geospatial data is a tough job and depends on various parameters like accuracy, completeness, precision, and consistency.

How Geospatial Data is typically priced?

Most geospatial data APIs follow one of three pricing models:

  • Monthly subscriptions/licencing either flat or based on the number of times data is extracted
  • Tiered pricing based on the kind of data extracted
  • Custom pricing based on your specific set of requirements

However, there are various free GIS sources too, but the authenticity of data obtained from such sources is always questionable.

What are the common challenges when buying Geospatial Data?

When it comes to buying geospatial data, there are several challenges that one needs to encounter. There are a lot of geospatial data aggregators, both government and private which collect geospatial data. It becomes tough to choose one between them, especially when the quality of the data cannot be verified easily.

Data provider comparison is one of the leading issues in the world of external data. The issue is commonly related to lack of standardization within the market. Each geospatial data vendor has its own claims and plus points which makes it difficult to compare between the two provides and reach a conclusion. Further, the data provided by each agency varies depending on the format. Thus, it becomes important to gauge if the provided data format will work fine for your requirements.

Add to that, data distribution agreements also play an important role here. In various cases, local licensing agreements are in place which limits access to information.

What to ask Geospatial Data providers?

Before buying any form of geospatial data, there are some questions you might want to have cleared out:

  • How accurate and precise is the data provided?
  • Can the dataset be integrated with my current business technologies?
  • How frequently is the database updated?
  • Is there a sample set available for testing purposes?

You might want to ask other questions as well, depending on your use case.

Who are the best Geospatial Data providers?

Finding the right Geospatial Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Geospatial Data providers that you might want to buy Geospatial Data from are SafeGraph, Quadrant, DDS Digital Data Services, X-tract, and Irys.

Where can I buy Geospatial Data?

Data providers and vendors listed on Datarade sell Geospatial Data products and samples. Popular Geospatial Data products and datasets available on our platform are OnPoint Geospatial by Weather Source, POI Data by Matrixian Group, and Raw data by Teragence.

How can I get Geospatial Data?

You can get Geospatial Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Geospatial Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Geospatial Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Geospatial Data?

Geospatial Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Commerce Data. These data categories are commonly used for Location Intelligence and Geospatial Data analytics.

What are the most common use cases for Geospatial Data?

The top use cases for Geospatial Data are Location Intelligence, Location Analytics, and Analytics.

Categories Related to Geospatial Data

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Popular Geospatial Data Use Cases

Find out the most common applications of Geospatial Data.