Gain valuable insights into the automotive market with our comprehensive Car Prices Dataset. Designed for businesses, analysts, and researchers, this dataset provides real-time and historical car pricing data to support market analysis, pricing strategies, and trend forecasting.

Dataset Features

Vehicle Listings: Access detailed car listings, including make, model, year, trim, and specifications. Ideal for tracking market trends and pricing fluctuations. Pricing Data: Get real-time and historical car prices from multiple sources, including dealerships, marketplaces, and private sellers. Market Trends & Valuations: Analyze price changes over time, compare vehicle depreciation rates, and identify emerging pricing trends. Dealer & Seller Information: Extract seller details, including dealership names, locations, and contact information for lead generation and competitive analysis.

Customizable Subsets for Specific Needs Our Car Prices Dataset is fully customizable, allowing you to filter data based on vehicle type, location, price range, and other key attributes. Whether you need a broad dataset for market research or a focused subset for competitive analysis, we tailor the dataset to your needs.

Popular Use Cases

Market Analysis & Pricing Strategy: Track vehicle price trends, compare competitor pricing, and optimize pricing strategies for dealerships and resellers. Automotive Valuation & Depreciation Studies: Analyze historical pricing data to assess vehicle depreciation rates and predict future values. Competitive Intelligence: Monitor competitor pricing, dealership inventory, and promotional offers to stay ahead in the market. Lead Generation & Sales Optimization: Identify potential buyers and sellers, track demand for specific vehicle models, and enhance sales strategies. AI & Predictive Analytics: Leverage structured car pricing data for AI-driven forecasting, automated pricing models, and trend prediction.

Whether you're tracking car prices, analyzing market trends, or optimizing sales strategies, our Car Prices Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

United States Motor Vehicle Sales: Average Price: Used Vehicle data was reported at 8,786.000 USD in 2010. This records an increase from the previous number of 8,483.000 USD for 2009. United States Motor Vehicle Sales: Average Price: Used Vehicle data is updated yearly, averaging 8,130.000 USD from Dec 1990 (Median) to 2010, with 21 observations. The data reached an all-time high of 8,786.000 USD in 2010 and a record low of 5,857.000 USD in 1990. United States Motor Vehicle Sales: Average Price: Used Vehicle data remains active status in CEIC and is reported by Bureau of Transportation Statistics. The data is categorized under Global Database’s United States – Table US.RA004: Motor Vehicle Sales: Average Price.

Datatorq’s Product Data delivers in-depth insights to optimize and advance your product and pricing strategy.

Product Data is crucial for various applications in the automotive industry, such as: - Product Development - Pricing Strategy - Market Analysis - Competitor Benchmarking - Total Cost of Ownership (TCO)

Why Choose Our Product Data: - Meticulously Cleaned and Accurate: Reliable data refined for precision and trustworthiness. - Exceptional Depth: Expertly curated insights for a thorough understanding of the LCV sector. - Customizable and Scalable: Tailored to fit your unique requirements. - Monthly Updates: Continuously validated to ensure current, accurate information.

Regular updates for Europe: France, UK, Italy, Poland, Netherlands, Spain, Belgium, Germany, Austria, Czechia, Portugal, Romania, Switzerland, Bulgaria, Croatia, Denmark, Hungary, Norway, Slovenia, Sweden, Ireland.

Fuel your automotive business with our comprehensive and precise datasets, crafted to inspire innovation and propel success in your product and pricing strategies.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average (CUSR0000SETA02) from Jan 1953 to Sep 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

1) Data Introduction • The Extended Dataset for Used Car Prices Regression Dataset is a structured dataset designed to predict the collector’s value of used vehicles based on a variety of features related to car pricing. It includes key attributes such as model year, brand, model, vehicle type, fuel efficiency (MPG), and MSRP. The collection_car variable indicates whether a car is considered a collector’s item due to its rarity or historical significance.

2) Data Utilization (1) Characteristics of the Extended Dataset for Used Car Prices Regression Dataset: • The dataset contains key factors influencing vehicle value, such as miles_per_gallon, premium_version, and msrp (Manufacturer's Suggested Retail Price).

(2) Applications of the Extended Dataset for Used Car Prices Regression Dataset: • Collector car prediction model development: The dataset can be used to train machine learning classification models that predict whether a vehicle has collector value based on its characteristics. • Rare vehicle market analysis and targeted marketing: By identifying vehicles with high collector value, the dataset supports applications in used car marketing, insurance planning, and premium vehicle recommendation systems.

Gain timely insights to strengthen your product development and pricing strategies. Our comprehensive Car Data delivers the analytical edge you need to stay ahead in the competitive LCV market.

Ideal for: - Product Development - Pricing Strategy - Market Analysis - Competitor Benchmarking - Total Cost of Ownership (TCO)

Access current-month Volkswagen Car Price Data to track the latest pricing movements and market trends. Our unrivalled data eliminates uncertainty, empowers confident, data-driven decisions, and enables you to benchmark against industry leaders to maximise profit margins and enhance your competitive position.

Data coverage includes: France, UK, Italy, Poland, Netherlands, Spain, Belgium, Germany, Austria, Czechia, Portugal, Romania, Switzerland, Bulgaria, Croatia, Denmark, Hungary, Norway, Slovenia, Sweden, Ireland, Turkey, Morocco, Brazil, Argentina, Colombia, Mexico, Australia.

Unlock the full potential of your business with our reliable, up-to-date data solutions. Make smarter decisions, optimise pricing strategies, and drive sustainable growth.

Graph and download economic data for Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average (CUUR0000SETA01) from Mar 1947 to Aug 2025 about vehicles, new, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

United States Average Transaction Price: Category: Full-Size Car data was reported at 40,462.000 USD in Mar 2025. This records an increase from the previous number of 38,335.000 USD for Feb 2025. United States Average Transaction Price: Category: Full-Size Car data is updated monthly, averaging 44,227.000 USD from Jan 2020 (Median) to Mar 2025, with 63 observations. The data reached an all-time high of 49,410.000 USD in Oct 2023 and a record low of 36,905.000 USD in Jan 2020. United States Average Transaction Price: Category: Full-Size Car data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA011: New Vehicle Average Transaction Price.

United States Average Transaction Price: Category: Luxury Car data was reported at 58,248.000 USD in Mar 2025. This records an increase from the previous number of 55,620.000 USD for Feb 2025. United States Average Transaction Price: Category: Luxury Car data is updated monthly, averaging 63,749.000 USD from Jan 2020 (Median) to Mar 2025, with 63 observations. The data reached an all-time high of 78,618.000 USD in Nov 2022 and a record low of 46,353.000 USD in Oct 2023. United States Average Transaction Price: Category: Luxury Car data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA011: New Vehicle Average Transaction Price.

The average for 2021 based on 165 countries was 108.07 index points. The highest value was in Singapore: 355.77 index points and the lowest value was in Syria: 58.27 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

United States Motor Vehicle Sales: Average Price data was reported at 13,105.000 USD in 2010. This records an increase from the previous number of 12,518.000 USD for 2009. United States Motor Vehicle Sales: Average Price data is updated yearly, averaging 12,098.000 USD from Dec 1990 (Median) to 2010, with 21 observations. The data reached an all-time high of 13,451.000 USD in 2007 and a record low of 8,691.000 USD in 1990. United States Motor Vehicle Sales: Average Price data remains active status in CEIC and is reported by Bureau of Transportation Statistics. The data is categorized under Global Database’s United States – Table US.RA004: Motor Vehicle Sales: Average Price.

Turkey: Vehicle prices, world average = 100: The latest value from 2021 is 167.48 index points, an increase from 112.71 index points in 2017. In comparison, the world average is 108.07 index points, based on data from 165 countries. Historically, the average for Turkey from 2017 to 2021 is 140.1 index points. The minimum value, 112.71 index points, was reached in 2017 while the maximum of 167.48 index points was recorded in 2021.

The AutoScout Data dataset is a comprehensive collection of information on various vehicles, capturing a wide array of attributes that can be used for analysis in automotive research, market analysis, and machine learning projects related to car sales and valuations. Here is an overview of the dataset columns:

make_model: This column contains the make and model of the vehicle. It is a categorical variable that identifies the brand and specific model of the car.

body_type: This column describes the body type of the vehicle (e.g., sedan, SUV, hatchback). It is a categorical variable representing the shape and style of the car.

price: This column lists the price of the vehicle in the respective currency. It is a numerical variable crucial for market valuation studies.

vat: This column indicates whether the price includes VAT (Value Added Tax). It is a categorical variable, typically showing "Yes" or "No."

km: This column shows the mileage of the vehicle in kilometers. It is a numerical variable that indicates the usage level of the car.

Type: This column describes the type of car, such as "new," "used," or "demonstration." It is a categorical variable.

Fuel: This column specifies the type of fuel the vehicle uses, such as petrol, diesel, electric, etc. It is a categorical variable.

Gears: This column indicates the number of gears the vehicle has. It is a numerical variable.

Comfort_Convenience: This column lists comfort and convenience features of the vehicle, such as air conditioning, heated seats, etc. It is a categorical variable with multiple entries.

Entertainment_Media: This column describes the entertainment and media features available in the car, like Bluetooth, radio, CD player, etc. It is a categorical variable with multiple entries.

Extras: This column details any extra features of the car, which might include things like alloy wheels, roof rails, etc. It is a categorical variable with multiple entries.

Safety_Security: This column includes information on safety and security features of the vehicle, such as airbags, ABS, etc. It is a categorical variable with multiple entries.

age: This column indicates the age of the vehicle in years. It is a numerical variable.

Previous_Owners: This column shows the number of previous owners of the vehicle. It is a numerical variable.

hp_kW: This column lists the horsepower of the vehicle in kilowatts. It is a numerical variable indicative of the car’s power.

Inspection_new: This column indicates whether the vehicle has a new inspection. It is a categorical variable, typically showing "Yes" or "No."

Paint_Type: This column specifies the type of paint of the vehicle, such as metallic, matte, etc. It is a categorical variable.

Upholstery_type: This column describes the type of upholstery in the vehicle, such as leather, fabric, etc. It is a categorical variable.

Gearing_Type: This column indicates the type of gearing system, such as manual, automatic, etc. It is a categorical variable.

Displacement_cc: This column lists the engine displacement in cubic centimeters (cc). It is a numerical variable.

Weight_kg: This column shows the weight of the vehicle in kilograms. It is a numerical variable.

Drive_chain: This column describes the drive chain of the vehicle, such as front-wheel drive, rear-wheel drive, etc. It is a categorical variable.

cons_comb: This column indicates the combined fuel consumption of the vehicle. It is a numerical variable representing fuel efficiency.

Usage and Potential Analyses This dataset can be used for various analyses, including:

• Price Prediction: Building models to predict vehicle prices based on various attributes.
• Market Analysis: Understanding trends in vehicle types, features, and pricing.
• Customer Preferences: Analyzing which features are most common or popular among different types of vehicles.
• Vehicle Performance: Studying the relationship between engine displacement, horsepower, and fuel consumption.

The dataset's rich set of features allows for detailed exploration and insights into the automotive market, providing valuable information for consumers, dealers, and manufacturers alike.

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Acknowlegement

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View monthly updates and historical trends for US Consumer Price Index: Used Cars and Trucks. Source: Bureau of Labor Statistics. Track economic data with…

United States Motor Vehicle Sales: Average Price: New Vehicle data was reported at 26,850.000 USD in 2010. This records an increase from the previous number of 26,245.000 USD for 2009. United States Motor Vehicle Sales: Average Price: New Vehicle data is updated yearly, averaging 21,507.000 USD from Dec 1990 (Median) to 2010, with 21 observations. The data reached an all-time high of 26,950.000 USD in 2007 and a record low of 16,350.000 USD in 1990. United States Motor Vehicle Sales: Average Price: New Vehicle data remains active status in CEIC and is reported by Bureau of Transportation Statistics. The data is categorized under Global Database’s United States – Table US.RA004: Motor Vehicle Sales: Average Price.

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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

Used Car Prices MoM in the United States decreased to -0.20 percent in September from 0 percent in August of 2025. This dataset includes a chart with historical data for the United States Used Car Prices MoM.

Thailand: Vehicle prices, world average = 100: The latest value from 2021 is 94.43 index points, a decline from 124.16 index points in 2017. In comparison, the world average is 108.07 index points, based on data from 165 countries. Historically, the average for Thailand from 2017 to 2021 is 109.3 index points. The minimum value, 94.43 index points, was reached in 2021 while the maximum of 124.16 index points was recorded in 2017.

Vehicle Data Usage Billing Engine Market Outlook

According to our latest research, the global Vehicle Data Usage Billing Engine market size reached USD 1.87 billion in 2024 and is projected to grow at a CAGR of 17.2% during the forecast period, reaching USD 5.75 billion by 2033. The market’s robust expansion is driven by the increasing adoption of connected vehicles, advancements in telematics infrastructure, and the rising demand for usage-based billing solutions in the automotive ecosystem. As per our comprehensive analysis, the proliferation of IoT-enabled automotive solutions and regulatory pushes for data transparency are also key contributors to this growth trajectory.

One of the primary growth factors for the Vehicle Data Usage Billing Engine market is the rapid digital transformation within the automotive industry. Automakers and fleet operators are increasingly leveraging data-driven business models, which require sophisticated billing engines to accurately monetize vehicle-generated data. The surge in connected vehicle deployments, combined with the integration of advanced telematics and infotainment systems, has exponentially increased the volume and complexity of data being generated. This surge necessitates robust billing solutions capable of handling real-time data processing, dynamic pricing, and seamless interoperability with other automotive platforms. As a result, both OEMs and third-party service providers are investing heavily in scalable and secure billing engines to capture new revenue streams and enhance customer experiences.

Another significant driver is the emergence of usage-based insurance (UBI) and mobility-as-a-service (MaaS) models. Insurance providers and mobility service operators are harnessing granular vehicle data to offer personalized pricing, risk assessment, and on-demand services. The ability to accurately track, analyze, and bill for data usage in real-time is a critical enabler for these innovative business models. Furthermore, regulatory bodies in several regions are mandating greater transparency and consumer control over vehicle data, prompting industry stakeholders to invest in compliant and auditable billing solutions. The convergence of these trends is fostering a fertile environment for the adoption and evolution of vehicle data usage billing engines across diverse automotive applications.

The market is also benefiting from the growing ecosystem of partnerships between automotive OEMs, technology providers, and telecommunication companies. These collaborations are facilitating the development of interoperable platforms that support seamless data exchange and billing across multiple stakeholders. The integration of artificial intelligence and machine learning into billing engines is further enhancing their capabilities, enabling predictive analytics, fraud detection, and automated dispute resolution. However, the market does face challenges related to data privacy, cybersecurity, and standardization, which industry participants are actively addressing through innovation and regulatory compliance. Overall, the outlook for the Vehicle Data Usage Billing Engine market remains highly positive, with sustained investments and technological advancements expected to drive continued growth through 2033.

From a regional perspective, North America currently leads the market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The strong presence of leading automotive OEMs, advanced telematics infrastructure, and favorable regulatory frameworks in these regions are key factors underpinning market dominance. Asia Pacific is anticipated to exhibit the highest growth rate over the forecast period, driven by rapid vehicle electrification, smart city initiatives, and increasing adoption of connected mobility solutions. Latin America, the Middle East, and Africa are also witnessing steady growth, supported by expanding automotive markets and increasing investments in digital infrastructure. The evolving regulatory landscape and rising consumer awareness regarding data-driven services are expected to further accelerate market adoption across all regions.

Component Analysis

The Component segment of the Vehicle Data Usage Billing Engine market is broadly categorized into Software, Hardware, and Services. The software component dominates the market, driven by the growing need for advanced billing platforms capable of processin

Gain practical insights to enhance your product development and pricing strategies. Our comprehensive Car Data offers the analytical advantage you need to stay ahead in the competitive LCV market.

Ideal for: - Product Development - Pricing Strategy - Market Analysis - Competitor Benchmarking - Total Cost of Ownership (TCO)

Unearth valuable insights into historical pricing trends, market volatility, and seasonal shifts. Our unrivalled Car Price Data enables you to forecast pricing with confidence, remove uncertainty, and make informed, data-driven decisions. Benchmark your performance against industry leaders to maximise profit margins and strengthen your competitive position.

Data coverage includes: France, UK, Italy, Poland, Netherlands, Spain, Belgium, Germany, Austria, Czechia, Portugal, Romania, Switzerland, Bulgaria, Croatia, Denmark, Hungary, Norway, Slovenia, Sweden, Ireland, Turkey, Morocco, Brazil, Argentina, Colombia, Mexico, Australia.

Unlock the full potential of your LCV business with our robust data solutions. Make smarter decisions, refine pricing strategies, and drive sustainable growth.