Vehicle Location Data: Providers & Best Datasets to Buy 2025
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Vehicle Location Data?
Vehicle location data is information collected and transmitted by vehicles, typically through GPS technology, that provides real-time or historical data about their geographical location. This data includes coordinates, speed, direction, and other relevant details. It is used for various purposes, such as navigation, fleet management, traffic analysis, and location-based services.
What Are Examples of Vehicle Location Data?
Vehicle location data plays a critical role in the mobility and transport sectors. Examples of Vehicle Location Data include GPS coordinates, street addresses, and timestamps of a vehicle’s location at different points in time. Key examples include:
- Real-time GPS coordinates
- Historical trip logs
- Timestamped location pings
- Vehicle route trajectories
- Speed & direction data
- Geofencing event logs
- Engine ignition start/stop locations
- Proximity to POIs (points of interest)
- Origin-destination pairings
Best Vehicle Location Databases & Datasets
Data providers on Datarade feature vehicle location datasets with both historical and live data coverage, across regions and vehicle types. Some datasets include additional metadata such as driver behavior, VIN-level info, or route frequency.
Factori Person API | USA | Shopify + Klaviyo Contact Enrichment | Contact,Age,Location, Social Media,Household,Vehicle,DOB,Zipcode
PREDIK Data-Driven Trucking Data, Location Data & Commercial Vehicle Data: Custom Datasets for Truck Trips & Stops (Available for USA)
Electric Vehicle Charging Stations Data |99% Data accuracy|App and Market Intelligence
Point-of-Interest (POI) Data | Electric Vehicle (EV) Charging Stations Data in US | On-Demand Metadata | Custom Attributes
FarmersEdge | Machine Telematics Data (Vehicle Location Data) focused on Farming | Fleet Management/ Yield Data/ Machine Health Diagnostics and more
Static Electric Vehicle Charging Stations Data in Europe with Amenities | 140k+ POI | 480k+ Chargepoints
Real-Time API to Vehicle Telemetry Data | Global Coverage
Crime Risk Location Data | USA and Canada| Make More Informed Business Decisions | Places Data | Insurance Data
Company Data | Automotive Industry in North America | Detailed Business Profiles | Best Price Guaranteed
Mobility data | Traffic Flow Bundle | Origins/ destinations of vehicles passing a road segment | Gas stations | Out-of-Home Ads | Retail
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Top Vehicle Location Data Providers & Companies
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
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Factori
CoverageUSAUK+247BMobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
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DLP Labs
CoverageUSAUK+248DLP Labs delivers real-time, enriched vehicle telemetry and identity data with informed driver consent. Covering battery health, driving patterns, and charging insights from 150,000+ vehicles, our data helps energy, insurance, and mobility companies unlock data value. -
Nextraq
CoverageUSACanadaNexTraq®—a MICHELIN™ group company—is a trusted partner for fleet management services, simplifying fleet management while improving driver safety, reducing costs, streamlining compliance, and boosting efficiency and productivity. Decades of experience: NexTraq has supported fleet management services for more than 20 years. During these past two decades, we have tracked more than 1.2 million vehicles, and currently track 120,000 vehicles daily. Wide geographical influence: NexTraq offers strong geographical coverage throughout Canada and the United States. -
EVSE Insights
CoverageUSAUK+36We provide EV charging station (EVSE) utilization, session, and metadata. Learn more at evseinsights.com.SessionsHistorical and present dataCoverageMultiple networksPredictionFor new locations -
Dataforce
CoverageUSAUK+62With our BI software, we help the automotive industry to better understand the market situation. We continuously measure new car registrations and changes of parc data in company fleets all over the world by using our data collection & analytics. We also analyze their future development.13,865Ø PC Registrations DE / Day5,234Ø Interviews / Month50Ø Country Coverage
Popular Use Cases for Vehicle Location Data
Vehicle location data supports a wide range of applications across sectors:
- Fleet Management: Real-time tracking of delivery vans, trucks, and commercial vehicles.
- Mobility-as-a-Service (MaaS): Understanding urban movement for shared mobility platforms.
- Insurance Telematics: Pricing premiums based on location, route risk, or driving patterns.
- Retail Site Selection: Measuring vehicle traffic around commercial real estate sites.
- Smart City Planning: Informing infrastructure development based on vehicle congestion zones.
- Logistics Optimization: Reducing idle time, rerouting vehicles, and improving delivery ETAs.
- Vehicle Recovery & Security: Real-time tracking for theft prevention or recovery services.
Main Attributes of Vehicle Location Data
Attributes define what type of information you can extract from vehicle location datasets. These typically include:
- Timestamp (date + time of data point)
- Latitude & longitude
- Altitude (if available)
- Heading or direction
- Speed (in km/h or mph)
- Trip ID or vehicle ID
- Ignition on/off state
- Vehicle type or VIN (when available)
- POI proximity tags
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 21 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 12 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 9 datasets | |
| String | The name of a city. | View 8 datasets | |
| String | The name of a country. | View 8 datasets | |
| String | The postal code of an address. | View 8 datasets |
Why Is Vehicle Location Data Important?
Vehicle location data is crucial for optimizing operations, reducing costs, and improving user experiences in mobility services.
Urban Mobility & Infrastructure
City planners and transport agencies rely on anonymized vehicle location data to reduce congestion, improve traffic flows, and allocate public transit resources. Aggregated datasets help assess which roads, intersections, or zones require upgrades or changes.
Operational Efficiency
Fleet managers use real-time location tracking to streamline vehicle deployment, monitor driver productivity, and reduce downtime. By visualizing live traffic and historical trip data, they can fine-tune routing and scheduling to meet SLAs.
Insurance & Risk Analysis
Insurers use location data to calculate risk-based premiums—factoring in where vehicles operate, how often they idle, or which high-risk zones they frequent. This improves underwriting accuracy and reduces fraudulent claims.
Data-Driven Mobility Products
Mobility providers—from ride-hailing apps to last-mile delivery services—leverage location data to match demand with supply, allocate vehicles efficiently, and ensure timely pickups and drop-offs.
How Is Vehicle Location Data Collected?
Data is usually transmitted over cellular or satellite networks and aggregated on cloud platforms. Most providers ensure anonymization to comply with privacy laws such as GDPR or CCPA. Vehicle location data is collected via GPS-enabled devices embedded in:
- Telematics control units (TCUs) in connected vehicles
- Smartphones running fleet management apps
- OBD-II dongles and black boxes
- Dashcams and asset trackers
- IoT sensors embedded in vehicles
Frequently Asked Questions
How is the Quality of Vehicle Location Data Maintained?
The quality of Vehicle Location Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Vehicle Location Data Updated?
The update frequency for Vehicle Location Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Vehicle Location Data Secure?
The security of Vehicle Location Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Vehicle Location Data Delivered?
Vehicle Location Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Vehicle Location Data.
How Much Does Vehicle Location Data Cost?
The cost of Vehicle Location Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Vehicle Location Data for your needs.
What Are Similar Data Types to Vehicle Location Data?
Vehicle Location Data is similar to other data types, such as Traffic Data, Commercial Vehicle Data, Car Data, VIN Data, and License Plate Data. These related categories are often used together for applications like Asset Tracking.
