Automotive Data: Examples, Providers & Datasets to Buy in 2025
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Automotive Data?
Automotive data includes any information related to vehicles and their ecosystem, ranging from car listings and specifications to ownership, insurance, driving behavior, and mobility trends. It’s sourced from OEMs, dealerships, connected vehicles, insurers, and third-party aggregators.
Most in-car data is technical and used locally, such as tire pressure, fuel levels, or engine status, and isn’t stored long term. However, external automotive datasets (like vehicle speed, battery status, mileage, or oil levels) are used by businesses to enhance driving experiences, improve safety, reduce emissions, and optimize services. Data types and depth often vary by vehicle model and brand.
What Are Examples of Automotive Data?
Automotive data can be categorized into several key types, including:
- Vehicle Listings Data: Make, model, year, VIN, trim, price, mileage, condition, and seller info.
- Ownership & Registration Data: Owner demographics, registration status, title info, and lien details.
- Vehicle History Data: Accident records, service history, ownership changes, and recalls.
- Driving Behavior Data: Speed, braking, acceleration, route data from telematics or apps.
- Pricing & Valuation Data: New and used car price trends, depreciation models, trade-in values.
- Fleet & Mobility Data: Usage of shared vehicles, fleet composition, and maintenance cycles.
- EV Charging & Battery Data: Charging locations, capacity, charging behavior, and battery health.
- Automotive Parts Data: OEM vs aftermarket parts, SKU, pricing, compatibility.
Best Automotive Databases & Datasets
Providers on Datarade offer comprehensive vehicle and market datasets. These datasets can be accessed via APIs, CSV exports, or integrated directly into digital platforms used by insurers, manufacturers, and resellers. Real-time automotive data can support use cases ranging from dynamic pricing and fraud detection to predictive maintenance and supply chain optimization.
Opt-In Automotive Data Consumer Data & Leads┃Real Time & Aged Automotive Data & Leads┃Mailing Lists┃1MM Automotive Insurance Leads Monthly
Automotive Data | Automotive & Repair Shop Locations in US and Canada | Store Location Data
Automotive Consumer Data | Automotive Industry Professionals Contact Data | Verified Work Emails & Decision-maker Contact Data | Best Price Guaranteed
Alesco Car Ownership Data - Automotive Data - 275+ Million VIN Data points with 183+ Million Opt-In Emails - US based, licensing available
Car Spec Data | Automotive Data | Car Specs, Equip & Price (Global)| Updated Monthly | Product Strategy
Automotive Consumer Data, (Income, Financial Data, etc), USA, CCPA Compliant
List of 9M Automotive companies worldwide
European Petrol & Diesel Price Data | 90%+ Coverage | Real-time API | Integrated with Energy, Places Data, Automotive data, and Brand Data.
Driver Technologies | Van Automotive Consumer Video Data | North America and UK | Real-time and historical traffic information
Marketcheck Automotive API US & Canada (Gives Access To All Automotive Data, All In One Place)
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Top Automotive Data Providers & Companies
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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. -
Driver Technologies, Inc
CoverageUSAUK+2Driver will automatically capture a trip complete with your vehicle's data (speed, mileage, engine state, tire state, power, etc.) and upload it to the Driver Cloud for safe keeping and easy access. All your trips are stored within a beautiful interface in the cloud.100%Video Data Saved each Trip100MMiles Captured40Video/Telematics Data Points -
Pixta AI
CoverageUSAUK+247VWe collaborated with Pixta on an AI project. Pixta surprised us with great labelling and annotation services. Pixta Team has a high standard for the services and always double checks with us during the project to ensure alignment. Moreover, Pixta has provided licenced images, even human images, so we have no worries about the legal issue. Pixta is our first-choice partner for all AI projects.
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Datatorq
CoverageUKGermany+27VHello, I've used the data to compare our products with the products offered by the competition, The details offered by Datatorq helped me in my research and my analises, providing accurate information.
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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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.
Popular Use Cases for Automotive Data
The opportunities for Automotive Data generated driver services are endless. Third party providers may use Automotive data to suggest optimum and safest routes so drivers can avoid traffic jams. Vehicle service providers can ‘predict’ when your vehicle is likely to need maintenance or repair.
Service providers can provide information on services such as hotels and restaurants nearby. Third party can provide ‘smart parking’ information. Drivers may be able to automatically pay for parking and tolls. Drivers may be provided with tailored entertainment and other services while on-route.
Drivers may be able to automatically contact emergency services in the case of an accident. Insurers may offer lower insurance for ‘monitored’ vehicles. Drivers may be able to access tools on the go to make the car an extension of their home or office.
Key applications include:
- Used Car Marketplaces: Aggregating listings and enriching inventory with detailed vehicle specs and pricing.
- Insurance Risk Assessment: Calculating premiums using driver behavior and vehicle history.
- Fleet Optimization: Monitoring fleet health, routes, and utilization for better logistics management.
- OEM Market Research: Understanding buyer preferences and product performance.
- Price Intelligence: Benchmarking prices across regions and competitors.
- Predictive Maintenance: Using telematics and repair records to forecast vehicle breakdowns.
- Consumer Credit & Auto Finance: Verifying ownership and assessing loan risk.
- EV Infrastructure Planning: Identifying locations and behavior for electric vehicle charging.
- Lead Generation: Targeting potential buyers based on intent and ownership patterns.
Main Attributes of Automotive Data
Typical Automotive Data attributes include: description, equipment, year, model, manufacturer, features, technical specifications such as horsepower and MPGs, factory warranty, MSRP, OEM internal and external colours, green data, safety features, speed, location, fuel consumption, any awards and accolades, among others.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 56 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 39 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 33 datasets | |
| String | The phone number of a contact or organization. | View 32 datasets | |
| String | The name of a city. | View 31 datasets | |
| String | The name of a brand. | View 30 datasets |
How is Automotive Data Typically Collected?
Automotive Data may be collected by an off-board facility. This is a remote and safe server from which third party service providers can access Automotive Data, rather than having to directly access data from a moving car. The off-board facility operates in accordance with clearly defined technical data protection and competition rules and acts as a gatekeeper, minimizing safety, security and liability risks. These neutral servers can facilitate data access to third parties by offering multi-brand data access on one server, cutting out the need for third parties to use multiple servers from different manufacturers.
Vehicle manufacturers may share Automotive data with third party service providers. But manufacturers need to ensure it is shared in a way that won’t endanger the safe and secure functioning of the vehicle and that the car user’s personal data remains protected. Sharing Automation Data must not affect the liability of the manufacturer. Whether Automotive data is obtained from the manufacturer’s server or a neutral one, it should be provided in a fully transparent and anonymous manner, to help contribute to innovation and foster fair and open competition. Service providers can have fair and reasonable access to the data they need to offer their services to vehicle users. Any information that is available to a manufacturer’s network of vehicle repairers will be made available on the same conditions to third parties that offer competing services. The Automotive data will be of the same type, amount and quality of data, at the same time, at the same price.
How to Assess the Quality of Automotive Data?
It is important to ensure that Automotive Data acquired is of good quality. Automotive Data that is of poor quality is at minimum inaccurate and of no use to your company, and at worst, harmful to your business. It is necessary to ensure the Automotive Data you acquire is accurate, up-to-date and as error free as possible.
There are several steps users can take to ensure the quality of the Automotive Data they purchase, such as:
- Obtaining the Automotive Data directly from the manufacturer’s server
- Obtaining the Automotive Data from a reputable neutral server
- Regularly testing Automotive Data for errors and duplications
Pricing
Most Automotive Data providers have several pricing models, depending on the complexity of the data you want to purchase and the size of your business. Quite often however, we see the payment being made by monthly subscriptions that give access to the data on the provider’s servers.
Common Challenges
There are several common challenges to be considered when purchasing Automotive Data such as security and compliance. Ensuring security is necessary and can be facilitated with a highly secure system to fight data threats. Reputable suppliers should have compliance protocols in place.
Another challenge is ensuring systems are capable of maximum integration, as the more layers of integration you have, the more efficient the analysis of reports will be. Your existing staff may need new training to manage any new analytics system.
What to Ask Automotive Data Providers?
There are several questions you should consider asking an Automotive Data provider if you are considering purchasing and Automotive Data system, such as:
- How does the Automotive Data analysis system integrate with existing systems?
- Is it secure and compliant?
- Will existing staff need training for new data analytics technologies?
- How often is the dataset/database updated?
Frequently Asked Questions
How is the Quality of Automotive Data Maintained?
The quality of Automotive 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 Automotive Data Updated?
The update frequency for Automotive 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 Automotive Data Secure?
The security of Automotive 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 Automotive Data Delivered?
Automotive 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 Automotive Data.
How Much Does Automotive Data Cost?
The cost of Automotive 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 Automotive Data for your needs.
What Are Similar Data Types to Automotive Data?
Automotive Data is similar to other data types, such as Telecom Data, Environmental Data, Weather Data, B2B Data, and AI Training Data. These related categories are often used together for applications like Tire Condition Analysis.
