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What is Electric Vehicle (EV) Data? Best Datasets & Databases 2025

Datarade Marketplace Logo
Eugenio Caterino
Editor & Data Industry Expert
Electric Vehicle (EV) data refers to structured information about electric cars, their performance, usage, ownership, charging behavior, and market trends. It is essential for manufacturers, energy providers, investors, mobility platforms, and government bodies navigating the EV transition.

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

What Is Electric Vehicle (EV) Data?

EV data encompasses insights related to electric vehicles, including specifications, battery capacity, charging patterns, driving range, adoption rates, and real-time telemetry. The data supports decision-making in product development, infrastructure deployment, policy planning, and clean energy integration.

What Are Examples of EV Data?

EV data covers a broad spectrum of vehicle-centric and usage-focused information. Common examples include:

  • EV model specs: battery size, range, efficiency
  • Real-time vehicle telemetry (if accessible)
  • Charging session data: frequency, duration, location
  • Battery degradation metrics
  • EV ownership by location or demographic
  • Vehicle usage data (daily mileage, dwell time)
  • Market penetration by brand or model
  • Vehicle registration data segmented by EV type (BEV, PHEV)

Best Electric Vehicle (EV) Databases & Datasets

Here is our curated selection of top Electric Vehicle (EV) Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of Datatorq

Electric Vehicle (EV) Data | Product Data | Car Specs, Equip & Price (Europe)| Updated Monthly | Competition Benchmark

by Datatorq
5.0
UK
Germany
France
+15
Free sample preview
Pricing available upon request
Logo of Xtract

Point-of-Interest (POI) Data | Electric Vehicle (EV) Charging Stations Data in US | On-Demand Metadata | Custom Attributes

by Xtract
5.0
USA
Free sample preview
Starts at
$22,800 / purchase
Logo of Grepsr

Electric Vehicle Charging Stations Data |99% Data accuracy|App and Market Intelligence

by Grepsr
5.0
USA
UK
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of The Data Appeal Company

The Data Appeal Company | Automotive Data | Electric Vehicle Charging Stations Data | 251M POI Mapped | Datasets | Coverage from 2019

by The Data Appeal Company
5.0
USA
UK
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of Datatorq

Electric Vehicle (EV) Data | Automotive Data | Car Specs, Equip & Price (Europe)| Updated Monthly | Competition Benchmark

by Datatorq
5.0
UK
Germany
France
+15
Free sample preview
Pricing available upon request
Logo of DLP Labs

Global Car Data | Real-Time API EV Vehicle Dataset | Telematics, Battery Performance, Charging Insights, Car Spec Data

by DLP Labs
USA
UK
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of Space Know

Satellite Electric Vehicle Dataset (TESLA,LUCID, RIVIAN

by Space Know
USA
China
API available
Starts at
$30,000$27,000 / year
Logo of Royal Map

Electric Vehicle Charging Stations POI Data for Republic of Moldova

by Royal Map
Moldova
API available
Pricing available upon request
Logo of RIWI

RIWI Alpha China - Real-Time Consumer and Brand Data - Electric Vehicles and Luxury Goods

by RIWI
USA
UK
Germany
+14
Pricing available upon request
Logo of dataplor

Global Fuel & Charging Station Data

by dataplor
5.0
USA
UK
Germany
+246
Free sample preview
Pricing available upon request

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Top Electric Vehicle (EV) Data Providers & Companies

Main Attributes of Electric Vehicle (EV) Data

Electric Vehicle (EV) Data encompasses a wide range of attributes that provide valuable insights into the performance, usage, and characteristics of electric vehicles. These attributes may include information such as vehicle identification number (VIN), battery capacity, charging time and location, energy consumption, driving range, vehicle speed, acceleration, regenerative braking, temperature, location data, vehicle type, manufacturer, model, year, and various sensor data. Additionally, EV datasets specific to India may also include attributes related to government incentives, charging infrastructure, electricity tariffs, and emissions.

Common data attributes include:

  • Make and model
  • Battery size (kWh)
  • Estimated and actual range
  • Charging type (AC/DC, Level 1/2/3)
  • Charging frequency and location
  • Kilometers driven
  • Charging curve data (rate vs. SOC)
  • Emission equivalent (gCOâ‚‚/km saved)
  • Region/ZIP code
  • Energy source (renewable, grid mix)
Attribute Type Description Action
Latitude Float The latitude of a point on earth's surface. Commonly abbreviated as "lat". View 5 datasets
Address String The address of a company or contact (street name, number, zip code, city, county, country). View 4 datasets
Longitude Float The longitude of a point on earth's surface. Commonly abbreviated as "long". View 4 datasets
Brand Name String The name of a brand. View 3 datasets
City Name String The name of a city. View 3 datasets
Country Name String The name of a country. View 3 datasets

Why Is Electric Vehicle Data Important?

Market Transition Planning
EV adoption is reshaping the global auto industry. Data is vital to planning production, marketing, and logistics strategies tailored to electric mobility.

Charging Infrastructure Growth
Accurate usage data guides utilities and charging networks on where to expand capacity and how to price services effectively.

Policy & Investment Decisions
Governments and investors use EV data to assess adoption barriers, forecast growth, and prioritize sustainable investments.

Product and UX Innovation
OEMs analyze EV usage data to refine vehicle software, battery design, and user experience—driving long-term customer satisfaction.

Frequently Asked Questions

How is the Quality of Electric Vehicle (EV) Data Maintained?

The quality of Electric Vehicle (EV) 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 Electric Vehicle (EV) Data Updated?

The update frequency for Electric Vehicle (EV) 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 Electric Vehicle (EV) Data Secure?

The security of Electric Vehicle (EV) 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 Electric Vehicle (EV) Data Delivered?

Electric Vehicle (EV) 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 Electric Vehicle (EV) Data.

How Much Does Electric Vehicle (EV) Data Cost?

The cost of Electric Vehicle (EV) 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 Electric Vehicle (EV) Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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