Quick Insight
Geospatial data is information about an object, event, or phenomenon that includes its location on or near Earth’s surface. It’s often paired with a timestamp and other details, so you’re not just seeing where something happened, but when, and what else was true about it at the time.
Why Geospatial Data Matters
- Retailers and real estate teams use it for site selection, figuring out where to open a new location based on nearby population, competitors, and foot traffic patterns.
- Logistics and supply chain teams use it to plan routes and optimize delivery networks.
- Insurers use it for risk assessment, understanding a property’s exposure to flooding, wildfire, or other hazards based on where it sits.
- Public health and urban planning teams use it to study how people move through a city and where resources are needed most.
The honest limit: geospatial data on its own is just raw material. It doesn’t turn into a useful insight until it’s cleaned, structured, and analyzed, usually with the help of a GIS (Geographic Information System) or similar mapping software.
Types of Geospatial Data
- Vector data represents features as points, lines, and polygons. Good for precise, well-defined shapes, like a building outline or a road.
- Raster data represents information as a grid of pixels, where each cell holds a value like elevation or temperature. Better suited for continuous surfaces, like satellite imagery.
- Mobility data captures how people or vehicles move over time, typically collected from GPS-enabled devices.
- POI (Point of Interest) data identifies specific real-world places, like stores or landmarks, along with details like category and hours.
Want to go deeper into geospatial data?
Read our full guide: Geospatial Data: What It Is and How It’s Used
Frequently Asked Questions
1. What's the difference between geospatial data and GIS?
Geospatial data is the raw, location-based information itself. GIS is the software and tools used to process, analyze, and visualize that data.
2. What's the difference between vector and raster data?
Vector data uses points, lines, and polygons for precise shapes, like a building footprint. Raster data uses a grid of pixels, better suited for continuous information like elevation or satellite imagery.
3. Is POI data a type of geospatial data?
Yes. POI data is one specific category of geospatial data; it identifies real-world places along with attached details like category and operating hours.
4. Does geospatial data need to include a timestamp?
Not always, but it often does. Adding time turns a plain location into something you can actually analyze, like tracking how foot traffic at a place changes hour by hour.
5. How big is the geospatial data industry?
According to SafeGraph’s own research, the geospatial analytics market was valued at roughly $123 billion in 2026 and is projected to reach about $244 billion by 2030.
