Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

This dataset captures detailed specifications of 10,000 cars manufactured between 2010 and 2020. It provides a comprehensive resource for various analytical and machine learning projects, including price prediction, market trend analysis, and comparative studies among different car makes and models.

The dataset includes essential attributes such as the make and model of the car, the year of manufacture, engine size, fuel type, and the price in USD. These attributes allow for in-depth analysis and modeling, facilitating insights into market trends, price prediction, and comparative studies among different car makes and models.

The car makes and models were selected from popular vehicles available in the market, reflecting consumer preferences and market availability. The prices, engine sizes, and fuel types were randomly assigned within realistic ranges, ensuring that the dataset remains representative and suitable for various analytical purposes.

Whether you are an automotive enthusiast, a data scientist, or a machine learning practitioner, this dataset offers a rich foundation for your projects. It can be used to develop machine learning models to predict car prices, analyze trends in the automotive market, compare different car makes and models, study the distribution and evolution of fuel types, or for educational purposes in data science and machine learning courses.

The data was meticulously generated using the Faker library to simulate realistic car specifications. This dataset is versatile and can be used for a wide array of projects, making it a valuable tool in your analytical and predictive endeavors.

Motor vehicle production increased in all regions in 2023. The growth rate of motor vehicle production in Europe reached 13 percent compared to the previous year. In contrast, the production value of the motor vehicle manufacturing industry in the Commonwealth of Independent Stats increased by 23 percent compared to the 2022 level. In 2023, the global production of passenger cars increased by over six million units compared with 2022.

This dataset provides extensive information on a wide range of cars, capturing essential details to help analyze market trends, vehicle values, and more. Ideal for automotive enthusiasts, data analysts, and researchers looking to explore the car market.

Columns

• ID: Unique identifier for each vehicle.
• Brand: Manufacturer of the vehicle (e.g., Ford, Lexus, etc.).
• Model: Specific model of the vehicle.
• Year: Manufacturing year of the vehicle.
• Color: Color of the vehicle.
• Mileage: Distance traveled by the vehicle (in miles).
• Price: Price of the vehicle (in USD).
• Condition: Condition of the vehicle (New/Used).

Statistics

• Total Vehicles: 100,000+
• Brands: Ford (5%), Lexus (5%), Other (90%)
• Models: Generic Model 1 (28%), Generic Model 2 (28%), Other (43%)
• Years Range: 1990 - 2022
• Popular Colors: Blue (17%), Green (17%), Other (66%)
• Conditions: Used (50%), New (50%)

Usage

This dataset is perfect for: - Analyzing car market trends - Predicting vehicle prices - Studying vehicle depreciation - Market research for automotive industry

Source

Collected and compiled from various automotive data sources to provide a detailed overview of the car market.

In 2023, the United States was the country which imported the most passenger vehicles, including cars. That year, the U.S. spent nearly 210.3 billion U.S. dollars on vehicle imports, which was well over double the import value recorded by Germany, which was second in the ranking.

Total Vehicle Sales in the United States decreased to 16.10 Million in August from 16.40 Million in July of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In the fourth quarter of 2024, there were around ***** million vehicles operating on roads throughout the United States. Almost **** million used vehicles changed owners in the U.S. between the fourth quarter of 2023 and the fourth quarter of 2024, while new registrations of vehicles came to about **** million units during that period. Automotive market disparities The number of licensed drivers had been steadily increasing up to just under ******* in 2023, but the automotive market has been impacted by economic developments over the past few years. The U.S. vehicle fleet is aging, reflected by the slow increase in the average vehicle age from **** years in 2018 to over ** years in 2024. This is in part due to market disparities. The average selling price of new vehicles has been increasing to nearly ****** U.S. dollars in 2024, up from under ****** in 2016. Used car prices have been declining after the chip shortages linked to the COVID-19 pandemic, reaching around ****** U.S. dollars in 2024. The majority of U.S. car owners earned more than ****** U.S. dollars per years, with the ****** to ****** income group owning over ** percent of the vehicles in use. The boom of the used vehicle market Close to ************* of new car buyers were born between 1946 and 1981, with Gen X being the leading consumers by age group for both the new and used vehicle market. Used light vehicle sales have been steadily increasing since 2010, representing well over double the size of the new light vehicle market in 2024. With a product range priced below new vehicle prices, used vehicles are gaining momentum in the United States. The average American household spends some ***** U.S. dollars on vehicle purchases annually, with consumers in income groups earning above 100,000 U.S. dollars per year spending above ***** dollars annually on car buying. Used vehicle financing options are naturally more affordable than new vehicle financing options, with an average monthly payment over *** dollars for loan payments for new vehicles.

Aerial Cars

## Overview

Aerial Cars is a dataset for object detection tasks - it contains Cars annotations for 153 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

The Car Allowance Rebate System (CARS), otherwise known as Cash for Clunkers, was a program intended to provide economic incentives to United States residents to purchase a new and more fuel efficient vehicle when trading in a less full efficient vehicle. The program was promoted as providing stimulus to the economy by boosting auto sales, while putting safer, cleaner and more fuel efficient vehicles on the road.

Statistical analysis of the vehicle fleet for passenger cars by province and vehicle use. Vehicle fleet statistics are prepared from data in open format made available on the portal of the Automobile Club of Italy (ACI - https://www.aci.it/laci/studies-and-research/data-e-statistics/self-portrait.html). The data were cut out for the Piedmont Region only and completed with the provincial ISTAT codes, for easy reading and possible comparison with other datasets. The data, taken from the Ente’s archives (primary source of the statistics concerning the vehicle fleet is the Pra, Pubblico vehicle register) and from the analysis of the vehicle fleet, in this case in Piedmont, may be of interest both to the world of the economy and the environment, both for land management and for surveys of a social nature. The publication shall take place by the ACI by October of each year with data relating to 31 December of the previous year.

This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732189. The time series data has been collected by using a BeagleBone single plate computer which has been developed at VIF to collect data for driving analytics. The BeagleBoard can be connected to the OBD2 interface of a vehicle to capture data from CAN bus and has been additionally equipped with further sensors (GPS, gyroscope, acceleration). The data in this research dataset was collected during 35 different trips conducted by one driver driving one vehicle in the Graz area in Austria.

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US Used Car Market Size 2025-2029

The US used car market size is forecast to increase by USD 40.2 billion, at a CAGR of 4.3% between 2024 and 2029.

The used car market in the US is witnessing significant growth, driven by the excellent value proposition that used cars offer to consumers. The increasing popularity of websites dedicated to selling used cars has expanded market reach and convenience, allowing consumers to browse and purchase vehicles online. Stringent emission regulations are restricting the sales of non-compliant used cars, necessitating investments in upgrading and maintaining commercial vehicle fleets to meet regulatory requirements. These regulations necessitate investments in emission testing and certification processes, increasing operational costs for dealers. To capitalize on opportunities, dealers can focus on offering certified pre-owned vehicles and implementing robust emission testing procedures.
Additionally, leveraging digital marketing strategies and offering flexible financing options can help attract and retain customers. Overall, the used car market presents both challenges and opportunities for players, requiring strategic planning and innovation to succeed.

What will be the size of the US Used Car Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The used car market in the US continues to evolve, with various sectors adapting to emerging trends and technologies. Vehicle data analysis plays a pivotal role in understanding vehicle depreciation curves and return on investment for dealers. Payment processing systems streamline sales transactions, while sales performance metrics and customer lifetime value inform strategic decision-making. Fraud detection systems ensure compliance with legal standards, and insurance cost factors influence acquisition channel efficiency. Inventory turnover rate, a key performance indicator, varies across dealerships. Compliance audits and dealer training programs maintain legal compliance and improve customer satisfaction. Market penetration rate and resale value prediction help dealers optimize pricing models.
Consumer protection laws and financing product offerings shape customer trust and loyalty. Operating costs analysis, customer service feedback, and sales conversion rates contribute to profit margin calculation. Risk assessment models, employee performance metrics, marketing spend efficiency, and pricing model validation are essential for long-term success. A recent study reveals a 5% increase in sales for dealerships implementing advanced data analytics. Industry growth is expected to reach 3% annually, driven by these evolving market dynamics.

How is this market segmented?

The US used car market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  3P channel sales
  OEM channel sales


Product

  Mid size
  Full size
  Compact size


Vendor Type

  Organized
  Unorganized


Fuel Type

  Diesel
  Petrol


Geography

  North America

    US

By Distribution Channel Insights

The 3P channel sales segment is estimated to witness significant growth during the forecast period.

The used car market in the US is an active and dynamic sector, driven by various factors. With the constant launch of new vehicle models, the supply of used cars increases, resulting in lower prices compared to new cars. This trend encourages car owners to sell their vehicles and upgrade to newer models, shortening the average ownership cycle. Online advertising platforms play a significant role in connecting buyers and sellers. Pre-purchase inspections and vehicle history reports ensure transparency and build trust. Repairs cost estimation and parts sourcing networks help in managing the expenses of used car ownership. Market segmentation strategies cater to different customer needs, while customer relationship management tools foster loyalty.

Emissions testing standards ensure the environmental sustainability of used vehicles. Auto appraisal value tools help in determining fair prices, and loan term comparison aids in financing decisions. Marketing campaign effectiveness is measured through customer acquisition cost and interest rate calculation. Mobile apps offer functionalities like mechanical inspection checklists, paint depth measurement, and damage assessment tools. Dealer inventory management, detailing services, and vehicle photography techniques enhance the sales process. Industry growth is expected to continue, with the used car market projected to expand by 3% annually. For instance, a dealership successfully increased its sales by 15% thr

Key information about United States Motor Vehicle Sales: Passenger Cars

• United States Motor Vehicle Sales: Passenger Cars was reported at 3,116,647.000 Unit in Dec 2023.
• This records an increase from the previous number of 2,858,575.000 Unit for Dec 2022.
• US Motor Vehicle Sales: Passenger Cars data is updated yearly, averaging 6,089,403.000 Unit from Dec 2005 to 2023, with 19 observations.
• The data reached an all-time high of 7,761,592.000 Unit in 2006 and a record low of 2,858,575.000 Unit in 2022.
• US Motor Vehicle Sales: Passenger Cars data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVS: Motor Vehicle Sales: by Country and Type: Passenger Car (PC).

Car-Highway Data Annotation Project

Introduction

In this project, we aim to annotate car images captured on highways. The annotated data will be used to train machine learning models for various computer vision tasks, such as object detection and classification.

Project Goals

• Collect a diverse dataset of car images from highway scenes.
• Annotate the dataset to identify and label cars within each image.
• Organize and format the annotated data for machine learning model training.

Tools and Technologies

For this project, we will be using Roboflow, a powerful platform for data annotation and preprocessing. Roboflow simplifies the annotation process and provides tools for data augmentation and transformation.

Annotation Process

1. Upload the raw car images to the Roboflow platform.
2. Use the annotation tools in Roboflow to draw bounding boxes around each car in the images.
3. Label each bounding box with the corresponding class (e.g., car).
4. Review and validate the annotations for accuracy.

Data Augmentation

Roboflow offers data augmentation capabilities, such as rotation, flipping, and resizing. These augmentations can help improve the model's robustness.

Data Export

Once the data is annotated and augmented, Roboflow allows us to export the dataset in various formats suitable for training machine learning models, such as YOLO, COCO, or TensorFlow Record.

Milestones

1. Data Collection and Preprocessing
2. Annotation of Car Images
3. Data Augmentation
4. Data Export
5. Model Training

Conclusion

By completing this project, we will have a well-annotated dataset ready for training machine learning models. This dataset can be used for a wide range of applications in computer vision, including car detection and tracking on highways.

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, and manufacturer for seamless data filtering. It contains 20+ years of all items in the luxury classic car category sold at auction and in private markets. Tracked brands include: AMC, Aston Martin, Alfa Romeo, Bentley, BMW, Bugatti, Cadillac, Chevrolet, Chrysler, Daimler, Duesenberg, El Camino, Ferrari, Fiat, Ford, Hispano-Suiza, Isotta Fraschini, Jaguar, Lamborghini, Lancia, Maserati, Mercedes, McLaren, Mercury, Panther, Peugeot, Pontiac, Rolls Royce, Porsche, Shelby, Toyota, Volkswagen, Zundapp

About Dataset

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you are given dataset which contains information about automobiles. The dataset contains 399 rows of 9 features

DATA OVERVIEW:

The dataset consists of the following columns:

• Name: Unique identifier for each automobile.
• MPG: Fuel efficiency measured in miles per gallon.
• Cylinders: Number of cylinders in the engine.
• Displacement: Engine displacement, indicating its size or capacity.
• Horsepower: Power output of the engine.
• Weight: Weight of the automobile.
• Acceleration: Capability to increase speed, measured in seconds.
• Model Year: Year of manufacture for the automobile model.
• Origin: Country or region of origin for each automobile.

Total Vehicle Sales in China increased to 2857000 Units in August from 2593000 Units in July of 2025. This dataset provides - China Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Used-car market monitoring was started in 2018, 03 January, when Federal Administrative Court in Leipzig (Germany) allowed cities and communes in Germany to impose bans for diesel cars in order to reduce the level of nitric oxide in the air. This data-set represent 5th year of market monitoring, 2022. First year monitoring (2018) data-set is available together with data article: Skribans, V. Used-car market dataset for Latvia 2018, (2019) Data in Brief, 22, pp. 859-862. doi: 10.1016/j.dib.2018.12.075. Methodology of data mining is available in research paper: SKRIBANS, V. and HEGERTY, S.W., 2019. Data mining application for used-car market analysis, IMCIC 2019 - 10th International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings 2019, pp. 35-40. Second year monitoring (2019) data-set is available there: Skribans, Valerijs (2019), “Latvian Used-car Market Announcements Monitoring in 2019”, Mendeley Data, V1, doi: 10.17632/kyf948x63n.1 Third year year monitoring (2020) data-set is available there: Skribans, Valerijs; Gulbis, Aivars; Krastins, Aivars (2020), “Latvian Used-car Market Announcements Monitoring in 2020”, Mendeley Data, V1, doi: 10.17632/hg38nn6c45.1 . First quarter of the fourth year of market monitoring, 2021. set is available there: Skribans, Valerijs; Gulbis, Aivars; Cevers, Aldis; Rudzitis, Normunds; Krastins, Aivars (2021), “Latvian Used-car Market Announcements Monitoring in 2021 Q1”, Mendeley Data, V1, doi: 10.17632/rh9zh9ncnk.1