55 datasets found
  1. F

    Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City...

    • fred.stlouisfed.org
    json
    Updated Oct 24, 2025
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    (2025). Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SETA01
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    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 Sep 2025 about vehicles, urban, new, consumer, CPI, inflation, price index, indexes, price, and USA.

  2. Used Car Price Prediction Dataset

    • kaggle.com
    zip
    Updated Sep 15, 2023
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    Taeef Najib (2023). Used Car Price Prediction Dataset [Dataset]. https://www.kaggle.com/datasets/taeefnajib/used-car-price-prediction-dataset
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    zip(112006 bytes)Available download formats
    Dataset updated
    Sep 15, 2023
    Authors
    Taeef Najib
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Used Car Price Prediction Dataset is a comprehensive collection of automotive information extracted from the popular automotive marketplace website, https://www.cars.com. This dataset comprises 4,009 data points, each representing a unique vehicle listing, and includes nine distinct features providing valuable insights into the world of automobiles.

    • Brand & Model: Identify the brand or company name along with the specific model of each vehicle.
    • Model Year: Discover the manufacturing year of the vehicles, crucial for assessing depreciation and technology advancements.
    • Mileage: Obtain the mileage of each vehicle, a key indicator of wear and tear and potential maintenance requirements.
    • Fuel Type: Learn about the type of fuel the vehicles run on, whether it's gasoline, diesel, electric, or hybrid.
    • Engine Type: Understand the engine specifications, shedding light on performance and efficiency.
    • Transmission: Determine the transmission type, whether automatic, manual, or another variant.
    • Exterior & Interior Colors: Explore the aesthetic aspects of the vehicles, including exterior and interior color options.
    • Accident History: Discover whether a vehicle has a prior history of accidents or damage, crucial for informed decision-making.
    • Clean Title: Evaluate the availability of a clean title, which can impact the vehicle's resale value and legal status.
    • Price: Access the listed prices for each vehicle, aiding in price comparison and budgeting.

    This dataset is a valuable resource for automotive enthusiasts, buyers, and researchers interested in analyzing trends, making informed purchasing decisions or conducting studies related to the automotive industry and consumer preferences. Whether you are a data analyst, car buyer, or researcher, this dataset offers a wealth of information to explore and analyze.

  3. G

    Vehicle prices by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 17, 2021
    + more versions
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    Globalen LLC (2021). Vehicle prices by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/vehicle_prices_wb/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    May 17, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    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.

  4. Car Price Analysis Dataset

    • kaggle.com
    zip
    Updated Nov 6, 2025
    + more versions
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    Ayesha Siddiqa (2025). Car Price Analysis Dataset [Dataset]. https://www.kaggle.com/datasets/ayeshasiddiqa123/cars-pre
    Explore at:
    zip(46557 bytes)Available download formats
    Dataset updated
    Nov 6, 2025
    Authors
    Ayesha Siddiqa
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context :

    In order to assist data scientists, analysts, and machine learning enthusiasts in creating predicting models for automobile pricing, the automobile Price Prediction Dataset is intended to offer an extensive collection of vehicle-related information. In order to replicate a genuine automobile market, the dataset includes a wide variety of car brands, models, manufacture years, and technical characteristics. It can be used to investigate how different elements affect an automobile's resale value, including mileage, engine size, fuel type, gearbox type, and brand reputation. Projects concentrating on price optimization, data visualization, and regression analysis in the automotive sector will benefit greatly from this dataset.

    Content :

    Ten attributes and 2,500 entries make up this dataset, each of which represents a crucial aspect of a distinct car. Vehicle ID, Brand, Model, Year of production, Engine Capacity (liters), Fuel Type, Transmission Type (manual or automatic), Mileage (kilometers), Condition (new, used, or like new), and Price (in USD) are among the factors. Effective analysis and modeling are made possible by the completeness and organization of all the values. Regression models for predicting automobile values, spotting market trends, and investigating connections between vehicle features and their effect on valuation can all be successfully trained using this dataset.

  5. USA - 2025 - Car Price

    • kaggle.com
    zip
    Updated Feb 22, 2025
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    Ayberk URAL (2025). USA - 2025 - Car Price [Dataset]. https://www.kaggle.com/datasets/ayberkural/usa-2025-car-price
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    zip(67478 bytes)Available download formats
    Dataset updated
    Feb 22, 2025
    Authors
    Ayberk URAL
    Area covered
    United States
    Description

    🚗 2025 Used Car Market Dataset 🚗 This dataset is carefully prepared for data scientists, analysts, and researchers who want to analyze the 2025 used car market. With approximately 2,500 rows and 13 different features, this dataset serves as a powerful resource for exploring pricing trends, brand-model preferences, and vehicle history.

    📊 Dataset Contents:

    price → Vehicle price brand → Brand model → Model year → Manufacturing year mileage → Mileage information title_status → Vehicle title status (Clean, Salvage, etc.) color → Color information vin, lot → Vehicle identification details 🎯 Use Cases: ✔️ Machine learning projects – Price prediction, regression models ✔️ Data analysis & visualization – Analyzing market trends ✔️ Used car market research

    🔹 This dataset is clean, well-structured, and ready for use—start your analysis right away! We’d love to hear feedback from the Kaggle community. 🚀

    👉 Let’s explore this data and uncover valuable insights together! 💡

  6. Car Prices Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Mar 20, 2023
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    Bright Data (2023). Car Prices Dataset [Dataset]. https://brightdata.com/products/datasets/car-prices
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    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.

  7. J

    Japan Used Car Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 6, 2025
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    Data Insights Market (2025). Japan Used Car Market Report [Dataset]. https://www.datainsightsmarket.com/reports/japan-used-car-market-15946
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Japan
    Variables measured
    Market Size
    Description

    The Japan used car market, valued at approximately ¥15 trillion (assuming a market size "XX" of 15,000 million USD based on current exchange rates and typical market sizing for mature economies) in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 6.28% from 2025 to 2033. This growth is fueled by several key drivers. Increasing vehicle ownership among younger demographics, coupled with a preference for more affordable used vehicles over new cars, especially in light of rising new car prices and economic fluctuations, significantly contributes to market expansion. The rise of online car buying platforms and the expansion of certified used car dealerships offering greater transparency and consumer confidence further accelerate market growth. Moreover, the increasing popularity of SUVs and MPVs is reshaping segmental dynamics, driving demand for these specific used vehicle types. However, potential restraints include fluctuations in the Japanese economy, government regulations impacting vehicle emissions and resale value, and the availability of pre-owned inventory due to chip shortages and supply chain disruptions that have influenced new car production in recent years. Segment analysis reveals a dynamic market structure. While online channels are rapidly gaining popularity, established dealerships maintain a significant share, particularly those offering certified pre-owned vehicles that command premium pricing. The transaction types are diversified, with a balance between full payments and financed purchases. Major players in the market, including PROTO Corporation, Mobilico, carsensor.net, and others, are actively adapting their strategies to cater to evolving consumer preferences, leveraging technological advancements to enhance the buying experience and expand their reach. This competitive landscape is driving innovation and further fueling market growth. The historical period (2019-2024) likely reflected a period of relatively stable growth, followed by acceleration in recent years as previously mentioned factors came into play. Japan Used Car Market: A Comprehensive Forecast & Analysis (2019-2033) This in-depth report provides a comprehensive analysis of the dynamic Japan used car market, projecting its growth trajectory from 2019 to 2033. With a focus on key segments and influential players, this report offers invaluable insights for investors, industry professionals, and anyone seeking a thorough understanding of this multi-billion dollar market. The study encompasses historical data (2019-2024), considers the base year (2025), and provides estimations and forecasts (2025-2033) for the market size in million units. Recent developments include: August 2022: Lexus, the Japanese luxury carmaker, announced a new initiative for the sale and purchase of used Lexus vehicles. The new Lexus Certified Program will allow the existing Lexus owners to sell their vehicles and new buyers to obtain pre-owned vehicles that have passed a rigorous inspection., January 2022: Carused.jp launched a new partner program. As authorized partners of the company, sellers will be certified local agents who will provide the service of importing cars to local customers under the Carused.jp brand.. Key drivers for this market are: The Growing Economy, Coupled with Rising Disposal Incomes and Urbanization, Fuels Demand for the Market. Potential restraints include: Various Regulatory Changes, Safety Standards, and Taxation Policies by the Government may Hamper the Market. Notable trends are: Growing Online Used Car Sales Aiding the Market.

  8. Used Car Price Prediction

    • kaggle.com
    zip
    Updated Sep 19, 2025
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    Vrajesh Sharma (2025). Used Car Price Prediction [Dataset]. https://www.kaggle.com/datasets/vrajesh0sharma7/used-car-price-prediction
    Explore at:
    zip(382872 bytes)Available download formats
    Dataset updated
    Sep 19, 2025
    Authors
    Vrajesh Sharma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    🚗 Used Car Price Prediction Dataset

    📌 Subtitle

    Comprehensive Used Car Dataset from India with 7,400 Listings and 29 Features for Price Prediction and Analysis

    📝 Description

    This dataset contains detailed information about used cars listed for sale in India.
    It can be used for:

    • Regression → Predicting car prices (sale_price)
    • Classification → Predicting features like car_rating, car_availability, or warranty_avail
    • EDA → Analyzing market trends, buyer preferences, and pricing strategies

    The dataset is highly suitable for Machine Learning, Deep Learning, and Data Visualization projects.

    📊 Columns Description

    ColumnDescription
    car_nameName of the car (make + model, e.g., Maruti Swift, Hyundai i10).
    yr_mfrYear of manufacture of the car.
    fuel_typeType of fuel used (Petrol, Diesel, CNG, Electric, etc.).
    kms_runKilometers driven by the car (odometer reading).
    sale_priceFinal listed selling price of the car (target column for regression).
    cityCity where the car is listed.
    times_viewedNumber of times the listing was viewed online.
    body_typeBody type of the car (Hatchback, Sedan, SUV, etc.).
    transmissionGear type (Manual / Automatic).
    variantVariant of the car (e.g., LXI, VDI, Sports, etc.).
    assured_buyWhether the car comes with an assured buy option (True/False).
    registered_cityCity where the car is registered.
    registered_stateState where the car is registered.
    is_hotIndicates if the car is a “hot” listing (highly demanded).
    rtoRegional Transport Office code of the registration.
    sourceSource platform of the listing.
    makeManufacturer of the car (e.g., Maruti, Hyundai, Honda).
    modelModel name of the car (e.g., Swift, i10, City).
    car_availabilityAvailability status of the car (Available/Sold).
    total_ownersNumber of previous owners (1, 2, 3, etc.).
    broker_quotePrice quoted by broker/agent.
    original_priceOriginal on-road price when the car was new.
    car_ratingRating of the car’s condition (Excellent, Good, Fair, etc.).
    ad_created_onDate and time when the ad was created.
    fitness_certificateWhether the car has a valid fitness certificate (True/False).
    emi_starts_fromMonthly EMI amount if financed.
    booking_down_pymntMinimum down payment required for booking.
    reservedWhether the car is already reserved (True/False).
    warranty_availAvailability of warranty (True/False).

    🔑 Key Points

    • Rows: 7,400 used car listings
    • Columns: 29 attributes (numerical, categorical, and boolean)
    • Target Variable: sale_price
    • Possible Tasks: Price Prediction, Trend Analysis, Buyer Behavior Modeling

    💡 Inspiration

    • Can we accurately predict the selling price of a used car?
    • How do factors like fuel type, year of manufacture, and kilometers driven affect resale value?
    • Do premium brands retain value better than budget cars?
    • Can we identify market trends across cities in India?
  9. New motor vehicle sales, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Mar 14, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). New motor vehicle sales, inactive [Dataset]. http://doi.org/10.25318/2010000101-eng
    Explore at:
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of units and total sales of new motor vehicles by vehicle type and origin of manufacture, monthly.

  10. m

    CarGurus - Stock Price Series

    • macro-rankings.com
    csv, excel
    Updated Nov 6, 2025
    + more versions
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    macro-rankings (2025). CarGurus - Stock Price Series [Dataset]. https://www.macro-rankings.com/markets/stocks/carg-nasdaq
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Stock Price Time Series for CarGurus. CarGurus, Inc. operates an online automotive platform for buying and selling vehicles in the United States and internationally. It operates through two segments, U.S. Marketplace and Digital Wholesale. The company provides an online automotive marketplace that allows customers to search for new and used car listings from its dealers; and connects dealers to a large audience of informed and engaged consumers while providing dealers with actionable data-based insights. It also offers Digital Deal which allows shoppers to start purchase from a VDP on eligible listings that provides them with purchase options; Finance in Advance, where eligible consumers can pre-qualify for financing on cars from dealerships that offer financing from partners; Sell My Car " Top Dealer Offers which allows dealers to make tailored trade-in offers; and Sell My Car " Instant Max Cash Offer which allows consumers to sell vehicles to dealers online. In addition, the company provides dealer listings and data insights products; auto manufacturers and others advertiser products, such as brand reinforcement, category sponsorship, automobile segment exclusivity, and consumer segment exposure; Autolist, an online automotive marketplace through mobile applications and a website; and PistonHeads which is an automotive marketplace, auction platform, and editorial site for automotive enthusiasts. The company was formerly known as CarGurus LLC and changed its name to CarGurus, Inc. in June 2015. CarGurus, Inc. was founded in 2005 and is headquartered in Boston, Massachusetts.

  11. w

    Vehicle licensing statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 15, 2025
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    Department for Transport (2025). Vehicle licensing statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/vehicle-licensing-statistics-data-tables
    Explore at:
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Transport
    Description

    Data files containing detailed information about vehicles in the UK are also available, including make and model data.

    Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.

    The Department for Transport is committed to continuously improving the quality and transparency of our outputs, in line with the Code of Practice for Statistics. In line with this, we have recently concluded a planned review of the processes and methodologies used in the production of Vehicle licensing statistics data. The review sought to seek out and introduce further improvements and efficiencies in the coding technologies we use to produce our data and as part of that, we have identified several historical errors across the published data tables affecting different historical periods. These errors are the result of mistakes in past production processes that we have now identified, corrected and taken steps to eliminate going forward.

    Most of the revisions to our published figures are small, typically changing values by less than 1% to 3%. The key revisions are:

    Licensed Vehicles (2014 Q3 to 2016 Q3)

    We found that some unlicensed vehicles during this period were mistakenly counted as licensed. This caused a slight overstatement, about 0.54% on average, in the number of licensed vehicles during this period.

    3.5 - 4.25 tonnes Zero Emission Vehicles (ZEVs) Classification

    Since 2023, ZEVs weighing between 3.5 and 4.25 tonnes have been classified as light goods vehicles (LGVs) instead of heavy goods vehicles (HGVs). We have now applied this change to earlier data and corrected an error in table VEH0150. As a result, the number of newly registered HGVs has been reduced by:

    • 3.1% in 2024

    • 2.3% in 2023

    • 1.4% in 2022

    Table VEH0156 (2018 to 2023)

    Table VEH0156, which reports average CO₂ emissions for newly registered vehicles, has been updated for the years 2018 to 2023. Most changes are minor (under 3%), but the e-NEDC measure saw a larger correction, up to 15.8%, due to a calculation error. Other measures (WLTP and Reported) were less notable, except for April 2020 when COVID-19 led to very few new registrations which led to greater volatility in the resultant percentages.

    Neither these specific revisions, nor any of the others introduced, have had a material impact on the statistics overall, the direction of trends nor the key messages that they previously conveyed.

    Specific details of each revision made has been included in the relevant data table notes to ensure transparency and clarity. Users are advised to review these notes as part of their regular use of the data to ensure their analysis accounts for these changes accordingly.

    If you have questions regarding any of these changes, please contact the Vehicle statistics team.

    All vehicles

    Licensed vehicles

    Overview

    VEH0101: https://assets.publishing.service.gov.uk/media/68ecf5acf159f887526bbd7c/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 99.7 KB)

    Detailed breakdowns

    VEH0103: https://assets.publishing.service.gov.uk/media/68ecf5abf159f887526bbd7b/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 23.8 KB)

    VEH0105: https://assets.publishing.service.gov.uk/media/68ecf5ac2adc28a81b4acfc8/veh0105.ods">Licensed vehicles at

  12. v

    Russia Used Car Market Size By Car Type (Hatchback, Sedan, SUV), By...

    • verifiedmarketresearch.com
    Updated Oct 4, 2025
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    VERIFIED MARKET RESEARCH (2025). Russia Used Car Market Size By Car Type (Hatchback, Sedan, SUV), By Propulsion (Internal Combustion Engine, Electric), By Vendor Type (Organized, Unorganized), And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/russia-used-car-market/
    Explore at:
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Russia
    Description

    Russia Used Car Market size was valued at USD 68.4 Billion in 2024 and is projected to reach USD 109.9 Billion by 2032, growing at a CAGR of 6.10% from 2026 to 2032.Russia Used Car Market DriverThe Russian used car market is a complex and dynamic sector, significantly influenced by a confluence of economic, technological, and societal factors. While often perceived as a fallback option, the used car segment has become a cornerstone of personal mobility in the country, driven by several powerful forces. Understanding these drivers is crucial for businesses operating within or looking to enter this burgeoning market.Rising Prices of New Vehicles: The escalating cost of new vehicles has been a primary catalyst in propelling the growth of the Russian used car market. Factors such as currency fluctuations, increased production costs, inflationary pressures, and changes in import duties have collectively pushed the prices of brand-new cars beyond the reach of a significant portion of the population. This persistent upward trend makes used cars an increasingly attractive and often the only viable option for many consumers seeking personal transportation. As the price gap between new and used vehicles widens, affordability naturally shifts demand towards the pre-owned segment, bolstering its volume and value.Increased Consumer Demand for Affordable Mobility: Beyond just the rising prices of new cars, there's a fundamental and growing consumer need for affordable mobility across Russia. Public transportation infrastructure can be limited in many regions, and car ownership is often seen as a necessity rather than a luxury for commuting, family errands, and travel.

  13. c

    Used Car market size was $1400.2 billion in 2022!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 22, 2025
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    Cognitive Market Research (2025). Used Car market size was $1400.2 billion in 2022! [Dataset]. https://www.cognitivemarketresearch.com/used-car-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    As per Cognitive Market Research's latest published report, the Global Used Car market size was $1400.2 billion in 2022 and it is forecasted to reach $2600.3 billion by 2030. Used Car Industry's Compound Annual Growth Rate will be 6.5% from 2023 to 2030. MARKET DYNAMICS IN USED CAR MARKET

    KEY DRIVERS

    Increased costs of new cars are driving demand for used cars

    The rising costs of new vehicles is significantly driving demand for used cars, thereby contributing to market growth. The rise in manufacturing costs, including those associated with new technologies, safety features and taxes have made new cars less affordable. Used cars provide more affordable options, attracting middle class and first-time buyers. The trend is further fueled by the rapid expansion of organized used car retail, digital platforms and more accessible financing options. Due to the high cost of vehicles and the maintenance of personal cars, youngsters have a lower rate of first-hand car ownership, further accelerating demand for used cars.

    Growing demand for luxury used cars plays a key role in the market

    Another significant driver in the global used cars market is the growing demand for luxury used cars. The high costs of a luxury car made it difficult to obtain one, particularly in emerging markets and price-sensitive regions. However, the growing availability of used luxury cars at affordable pricing has shifted dynamics in the global market. Used luxury cars offer a more accessible entry point to premium brands compared to buying new, making them attractive to a wider range of buyers. The segment is particularly growing in markets like India, where with the rise in disposable incomes, consumers are increasingly inclined towards purchasing luxury vehicles.

    RESTRAINTS

    Lack of standardization and transparency hinder market growth.

    The lack of standardization and transparency in the global used car market significantly challenges market growth. The absence of standardized pricing and quality assessment methods in the used car market leads to buyer skepticism and uncertainty. Undisclosed vehicle use history, odometer fraud, and transactions in the unorganized sector causes distrust among buyers. A large number of used car dealers operate in the unorganized sector, making it harder to ensure quality, transparency and fair pricing. Introduction of Used Car

    A used car is a pre-owned vehicle that can be sold again. The used car market encompasses the buying and selling of previously owned vehicles. It offers a wide range of budget-friendly alternatives. The market Used cars are sold through a variety of channels, including franchise and independent car dealers, rental car agencies, auctions, private party sales, and leasing offices.

    The organized sector of the market includes franchise dealerships, certified pre-owned program and online marketplaces, often providing warranties, inspection processes and financing options, The unorganized sector on the other hand includes local dealerships, independent sellers and brokers that offer flexible pricing and cater to local markets. The market is large and significantly growing, driven by factors like affordability, convenience and evolving consumer preferences. Due to the high cost of vehicles and the maintenance of personal cars, youngsters have a lower rate of car ownership, further accelerating demand for used cars.

  14. m

    CarGurus - Depreciation

    • macro-rankings.com
    csv, excel
    Updated Aug 24, 2025
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    macro-rankings (2025). CarGurus - Depreciation [Dataset]. https://www.macro-rankings.com/Markets/Stocks/CARG-NASDAQ/Cashflow-Statement/Depreciation
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    csv, excelAvailable download formats
    Dataset updated
    Aug 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Depreciation Time Series for CarGurus. CarGurus, Inc. operates an online automotive platform for buying and selling vehicles in the United States and internationally. It operates through two segments, U.S. Marketplace and Digital Wholesale. The company provides an online automotive marketplace that allows customers to search for new and used car listings from its dealers; and connects dealers to a large audience of informed and engaged consumers while providing dealers with actionable data-based insights. It also offers Digital Deal which allows shoppers to start purchase from a VDP on eligible listings that provides them with purchase options; Finance in Advance, where eligible consumers can pre-qualify for financing on cars from dealerships that offer financing from partners; Sell My Car " Top Dealer Offers which allows dealers to make tailored trade-in offers; and Sell My Car " Instant Max Cash Offer which allows consumers to sell vehicles to dealers online. In addition, the company provides dealer listings and data insights products; auto manufacturers and others advertiser products, such as brand reinforcement, category sponsorship, automobile segment exclusivity, and consumer segment exposure; Autolist, an online automotive marketplace through mobile applications and a website; and PistonHeads which is an automotive marketplace, auction platform, and editorial site for automotive enthusiasts. The company was formerly known as CarGurus LLC and changed its name to CarGurus, Inc. in June 2015. CarGurus, Inc. was founded in 2005 and is headquartered in Boston, Massachusetts.

  15. Average prices for used cars in Germany 1980-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average prices for used cars in Germany 1980-2023 [Dataset]. https://www.statista.com/statistics/589613/average-prices-for-used-cars-germany/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Used car prices in Germany have increased significantly since 2018, though 2023 saw a drop across some sales channel categories. Free trade vehicles recorded a decrease, with figures falling to around ****** euros in 2023. Prices of used cars sold through brand trading have always been historically higher. New and old Germany is a leader on the global car market, with car brands and production quality of long- standing. Volkswagen, Mercedes, and BMV are among the first of many names that come to mind. Consumers may therefore be motivated to buy new cars by various means of financing, considering it a good investment for the future. Of course, new car prices differ significantly compared to used vehicles, with a new car costing an average of around ****** euros in 2023. Prices had grown in recent years, both due to the far-reaching effects of COVID-19 restrictions on industrial production and the energy crisis following the beginning of the Russia-Ukraine war. Drivers looking to buy a car are faced with familiar cost-related decisions regarding whether they buy new or second-hand, but higher fuel prices across the board are an issue facing all vehicle owners. A market with a future The German used car market is expected to grow in the coming years, with around ***** billion U.S. dollars predicted for 2025. Besides potentially contributing to sustainability and environmental protection goals, selling used cars is a business going beyond Germany’s borders. For example, Poland was Germany’s leading second-hand vehicle market by far when compared to other European countries, with around ***** cars imported in 2023.

  16. m

    CarGurus - Change-In-Cash

    • macro-rankings.com
    csv, excel
    Updated Mar 17, 2025
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    macro-rankings (2025). CarGurus - Change-In-Cash [Dataset]. https://www.macro-rankings.com/markets/stocks/carg-nasdaq/cashflow-statement/change-in-cash
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Change-In-Cash Time Series for CarGurus. CarGurus, Inc. operates an online automotive platform for buying and selling vehicles in the United States and internationally. It operates through two segments, U.S. Marketplace and Digital Wholesale. The company provides an online automotive marketplace that allows customers to search for new and used car listings from its dealers; and connects dealers to a large audience of informed and engaged consumers while providing dealers with actionable data-based insights. It also offers Digital Deal which allows shoppers to start purchase from a VDP on eligible listings that provides them with purchase options; Finance in Advance, where eligible consumers can pre-qualify for financing on cars from dealerships that offer financing from partners; Sell My Car " Top Dealer Offers which allows dealers to make tailored trade-in offers; and Sell My Car " Instant Max Cash Offer which allows consumers to sell vehicles to dealers online. In addition, the company provides dealer listings and data insights products; auto manufacturers and others advertiser products, such as brand reinforcement, category sponsorship, automobile segment exclusivity, and consumer segment exposure; Autolist, an online automotive marketplace through mobile applications and a website; and PistonHeads which is an automotive marketplace, auction platform, and editorial site for automotive enthusiasts. The company was formerly known as CarGurus LLC and changed its name to CarGurus, Inc. in June 2015. CarGurus, Inc. was founded in 2005 and is headquartered in Boston, Massachusetts.

  17. m

    Cars.com Inc - Cash-and-Equivalents

    • macro-rankings.com
    csv, excel
    Updated Aug 23, 2025
    + more versions
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    macro-rankings (2025). Cars.com Inc - Cash-and-Equivalents [Dataset]. https://www.macro-rankings.com/Markets/Stocks/CARS-NYSE/Balance-Sheet/Cash-and-Equivalents
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    excel, csvAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Cash-and-Equivalents Time Series for Cars.com Inc. Cars.com Inc., an audience-driven technology company, provides solutions for the automotive industry in the United States. The company offers cars commerce platforms, such as Marketplace, allowing OEMs and dealers to merchandise their inventory and allowing consumers to add and save vehicles to virtual garage and track the Cars.com market value of current vehicle, as well as provides reputation management technology and digital financing tools and access to in-market consumers who are ready to trade-in its vehicle for a new one. It also provides website creation and platform hosting; digital retailing solutions; and trade and appraisal product, including AccuTrade, uses real-time market data and diagnostic scans to determine the right trade-in offer for every VIN in minutes. In addition, the company offers Cars Commerce Media Network products comprising Cars Social, allows dealers to target and serve native advertisements displaying real-time inventory to in-market car shoppers on Facebook and Instagram; VIN Performance Media, a machine-learning for media campaign, including audience targeting, real-time inventory, and ad placement across search, social, and display; In-Market Video, provides OEMs and dealers to pinpoint serious, ready-to-buy shoppers geographically; and In-Market Display, enable dealers and OEMs to extend reach and access audience of in-market car shoppers. The company serves local dealers, OEMs, dealer groups, and auto-adjacent companies. Cars.com Inc. was founded in 1998 and is headquartered in Chicago, Illinois.

  18. AutoScout24_Car_Sales2019

    • kaggle.com
    zip
    Updated Jul 22, 2024
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    Duygu Jones (2024). AutoScout24_Car_Sales2019 [Dataset]. https://www.kaggle.com/datasets/duygujones/autoscout24-car-sales2019
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    zip(505900 bytes)Available download formats
    Dataset updated
    Jul 22, 2024
    Authors
    Duygu Jones
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Description:

    Dataset Name: AutoScout24 Car Sales Dataset

    Description: This dataset contains various features of cars sold on the AutoScout24 platform. It comprises a total of 15,915 car records, including details such as the car's model, price, mileage, and many other attributes. The dataset was sourced in 2019 from the online car trading company AutoScout24 and includes multiple features for 9 different car models.

    Dataset Features: 1. make_model: The make and model of the car. 2. body_type: The type of the car (e.g., Sedan). 3. price: The price of the car (in EUR). 4. vat: VAT status. 5. km: The car's mileage. 6. Type: The condition of the car (e.g., used). 7. Fuel: The type of fuel (e.g., Diesel, Petrol). 8. Gears: Number of gears. 9. Comfort_Convenience: Comfort and convenience features. 10. Entertainment_Media: Entertainment and media features. 11. Extras: Extra features. 12. Safety_Security: Safety and security features. 13. age: The age of the car. 14. Previous_Owners: Number of previous owners. 15. hp_kW: Engine power (in kW). 16. Inspection_new: New inspection status. 17. Paint_Type: Type of paint. 18. Upholstery_type: Type of upholstery. 19. Gearing_Type: Type of gearing (e.g., automatic). 20. Displacement_cc: Engine displacement (in cc). 21. Weight_kg: The weight of the car (in kg). 22. Drive_chain: Type of drive (e.g., front-wheel drive). 23. cons_comb: Combined fuel consumption (l/100 km).

    Use Cases: This dataset provides valuable insights for data scientists, economists, and automotive industry professionals interested in analyzing the car market. You can access the dataset on Kaggle and conduct various analyses.

    1. Car Sales Analysis:

      • Analyze sales trends over time to identify which car models and features are most popular.
      • Determine the average selling price for different car types, models, and conditions.
      • Investigate regional differences in car sales and preferences.
    2. Price Prediction Models:

      • Build machine learning models to predict the selling price of a car based on its features.
      • Identify which features most significantly impact the car's price.
      • Use regression models to estimate the price of cars not yet sold.
    3. Vehicle Performance Evaluations:

      • Assess the performance of different car models based on features like horsepower, fuel consumption, and age.
      • Compare the efficiency of different fuel types (e.g., Diesel vs. Petrol) and their impact on performance.
      • Evaluate the reliability and maintenance costs of various car models.
    4. Market Trend Analysis:

      • Track changes in consumer preferences over time, such as a shift towards electric or hybrid vehicles.
      • Analyze the impact of economic factors on car sales, such as changes in fuel prices or economic downturns.
      • Predict future market trends and consumer behavior using historical data.
    5. Customer Segmentation:

      • Segment customers based on their preferences and purchasing behavior.
      • Tailor marketing strategies to different customer segments to increase sales effectiveness.
      • Identify key demographics that prefer certain car models or features.
    6. Inventory Management:

      • Optimize inventory levels based on sales data to reduce holding costs and improve turnover rates.
      • Predict demand for specific car models to ensure adequate stock levels.
      • Analyze the impact of promotions and discounts on inventory movement.
  19. SriLankan Vehicle(Car) Price Dataset

    • kaggle.com
    zip
    Updated Feb 9, 2025
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    Prasad Nirmal (2025). SriLankan Vehicle(Car) Price Dataset [Dataset]. https://www.kaggle.com/datasets/prasadnirmal/srilankan-second-vehiclecar-price-dataset
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    zip(153869 bytes)Available download formats
    Dataset updated
    Feb 9, 2025
    Authors
    Prasad Nirmal
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset contains scraped car listings from ikman.lk and Riyasewana.com, two of the most popular online vehicle marketplaces in Sri Lanka. The data has been preprocessed to ensure consistency, making it useful for price prediction, trend analysis, and market research.

    Brand - The manufacturer of the vehicle (e.g., Toyota, Honda, Nissan). Model - The specific model of the car (e.g., Corolla, Civic, X-Trail). YOM - Year of Manufacture – the year the car was manufactured. Engine (cc) - Engine capacity in cubic centimeters (cc), indicating engine size. Gear - The type of transmission: Automatic or Manual. Fuel Type - The type of fuel used by the car (e.g., Petrol, Diesel, Hybrid, Electric). Millage (KM) - The total distance the car has traveled in kilometers. Town - The location where the car is being sold (e.g., Colombo, Kandy, Galle). Date - The date the listing was posted on the website. Leasing - Indicates whether leasing options are available for the vehicle (Yes/No). Condition - The overall condition of the car (e.g., Used, Reconditioned, Brand New).

    AIR CONDITION Indicates if the car has air conditioning (Available / Not-Available). POWER STEERING Indicates if the car has power steering (Available / Not-Available). POWER MIRROR Indicates if the car has power mirrors (Available / Not-Available). POWER WINDOW Indicates if the car has power windows (Available / Not-Available).

    Price The listed selling price of the car in Sri Lankan Rupees (LKR).

  20. m

    CarGurus - Total-Long-Term-Assets

    • macro-rankings.com
    csv, excel
    Updated Aug 22, 2025
    + more versions
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    macro-rankings (2025). CarGurus - Total-Long-Term-Assets [Dataset]. https://www.macro-rankings.com/Markets/Stocks/CARG-NASDAQ/Balance-Sheet/Total-Long-Term-Assets
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Total-Long-Term-Assets Time Series for CarGurus. CarGurus, Inc. operates an online automotive platform for buying and selling vehicles in the United States and internationally. It operates through two segments, U.S. Marketplace and Digital Wholesale. The company provides an online automotive marketplace that allows customers to search for new and used car listings from its dealers; and connects dealers to a large audience of informed and engaged consumers while providing dealers with actionable data-based insights. It also offers Digital Deal which allows shoppers to start purchase from a VDP on eligible listings that provides them with purchase options; Finance in Advance, where eligible consumers can pre-qualify for financing on cars from dealerships that offer financing from partners; Sell My Car " Top Dealer Offers which allows dealers to make tailored trade-in offers; and Sell My Car " Instant Max Cash Offer which allows consumers to sell vehicles to dealers online. In addition, the company provides dealer listings and data insights products; auto manufacturers and others advertiser products, such as brand reinforcement, category sponsorship, automobile segment exclusivity, and consumer segment exposure; Autolist, an online automotive marketplace through mobile applications and a website; and PistonHeads which is an automotive marketplace, auction platform, and editorial site for automotive enthusiasts. The company was formerly known as CarGurus LLC and changed its name to CarGurus, Inc. in June 2015. CarGurus, Inc. was founded in 2005 and is headquartered in Boston, Massachusetts.

Share
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Email
Click to copy link
Link copied
Close
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(2025). Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SETA01

Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average

CUUR0000SETA01

Explore at:
jsonAvailable download formats
Dataset updated
Oct 24, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
United States
Description

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 Sep 2025 about vehicles, urban, new, consumer, CPI, inflation, price index, indexes, price, and USA.

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