What is Commercial Vehicle Data? Examples, Datasets and Providers
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Commercial Vehicle Data?
In the United States, a vehicle is referred to as commercial if it is registered to a company. This broad definition encompasses vehicles that maybe a fleet of vehicles, company cars, or simply cars used for business. Vehicles that have a carrying capacity that exceeds 15 passengers are considered commercial in the United States. Data on commercial vehicles gives insight into the specific types of these vehicles, their registration details, and ownership details, and their specific modes of operation.
Examples of Commercial Vehicle Data include information on vehicle registrations, vehicle specifications, vehicle usage patterns, and fleet management data. Commercial Vehicle Data is used by businesses and organizations in the transportation industry for market research, fleet management, logistics planning, and regulatory compliance. In this page, you’ll find the best data sources for commercial vehicle data, including commercial vehicle databases, commercial vehicle datasets, auto data digest South Africa downloads, commercial vehicle statistics, and truck datasets.
Best Commercial Vehicle Databases & Datasets
Here is our curated selection of top Commercial Vehicle 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.
Automotive Data | Commercial Vehicle Data | Car Specs, Equip & Price (Europe)| Updated Monthly | Product Development
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
Automotive Data | Commercial Vehicle Data | Car Specs, Equip & Price (LATAM)| Updated Monthly | Product Development
Demographic Data | Australia | Latest Estimates and Projections To Make Informed Business Decisions | GIS Data | Map Data
IRIS® by Dataforce - International Vehicle Registration Information System for Automotive Market in Europe
Trip Data / Aggregated data elements of vehicle trip from ignition on to ignition off.
99finder | Wholesalers, Importers & Distributors Database with 32M Companies | 150+ Countries | Verified Contact Details
Product Data | Commercial Vehicle Data | Car Specs, Equip & Price (Europe)| Updated Monthly | Product & Price Strategy
IRIS® Parc by Dataforce - International Vehicle Registration Information System for Automotive Market in Europe
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Top Commercial Vehicle Data Providers & Companies
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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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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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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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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. -
TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
Popular Use Cases for Commercial Vehicle Data
Commercial Vehicle Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Commercial Vehicle Data.
Main Attributes of Commercial Vehicle Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a brand. | View 3 datasets | |
| String | The postal code of an address. | View 2 datasets | |
| String | The email address of a company or contact. | View 1 datasets | |
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 1 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 1 datasets | |
| String | The phone number of a contact or organization. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Commercial Vehicle Data Maintained?
The quality of Commercial Vehicle 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 Commercial Vehicle Data Updated?
The update frequency for Commercial Vehicle 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 Commercial Vehicle Data Secure?
The security of Commercial Vehicle 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 Commercial Vehicle Data Delivered?
Commercial Vehicle 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 Commercial Vehicle Data.
How Much Does Commercial Vehicle Data Cost?
The cost of Commercial Vehicle 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 Commercial Vehicle Data for your needs.
What Are Similar Data Types to Commercial Vehicle Data?
Commercial Vehicle Data is similar to other data types, such as Vehicle Location Data, Traffic Data, Electric Vehicle Charging Stations Data, Car Data, and VIN Data. These related categories are often used together for applications like Tire Condition Analysis and Urban Planning.
