It is a real data set. There is no missing value. It is good data for implementing encoding methods, get_dummies and regression algorithms for machine learning.

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.

This dataset contains data of Quikr Cars about second hand cars . This data was web scrapped from their website and have data of about 1000 cars and have features like -Name -Company -Quikr Label (Platinum / Gold) -Location -Price -Kms driven -Fuel type

jvbf2e/used-car-price-prediction dataset hosted on Hugging Face and contributed by the HF Datasets community

Source/Credit: Michael Grogan https://github.com/MGCodesandStats https://github.com/MGCodesandStats/datasets/blob/master/cars.csv

Sample dataset for regression analysis. Given 5 attributes (age, gender, miles driven per day, debt, and income) predict how much someone will spend on purchasing a car. All 5 of the input attributes have been scaled to be in 0 to 1 range. Training set has 723 training examples. Test set has 242 test examples.

This dataset will be used in an upcoming Galaxy Training Network tutorial (https://training.galaxyproject.org/training-material/topics/statistics/) on use of feedforward neural networks for regression analysis.

Dataset

This dataset was created by Shrikanth PV

Contents

Dataset

This dataset was created by Saumya

Released under CC0: Public Domain

Contents

It contains the following files:

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.

Dataset

This dataset was created by RajeshAndra

Contents

Analysis of ‘Car Prices Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sidharth178/car-prices-dataset on 29 August 2021.

--- Dataset description provided by original source is as follows ---

Context

With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To solve the price problem we have created a dataset of 19237 for the training dataset and 8245 for the test dataset.

Data Description

Train.csv - 19237 rows x 18 columns (Includes Price Columns as Target) - Attributes - ID - Price: price of the care(Target Column) - Levy - Manufacturer - Model - Prod. year - Category - Leather interior - Fuel type - Engine volume - Mileage - Cylinders - Gear box type - Drive wheels - Doors - Wheel - Color - Airbags Test.csv - 8245 rows x 17 columns

--- Original source retains full ownership of the source dataset ---

The Used Car Market size was valued at USD 1.76 trillion in 2023 and is projected to reach USD 2.66 trillion by 2032, exhibiting a CAGR of 6.1 % during the forecasts period. The Used Car Market entails the business of buying and selling second-hand cars which offer affordable options compared to brand-new cars. Some of the applications of the used car market include; offering cheap means of transport for individuals and firms during hard economic times or where specific models of cars are not being produced as new. Applications cover the zones of individual and business usage, adjusting to private cars, business fleets, and rental cars. Today’s trends in the market are the growing availability of online sources for purchasing used cars, the constantly growing popularity of certified pre-owned automobiles with warranties and inspection programs, and the increased demand for electric and hybrid used cars due to the advancing environmental consciousness and fairly affordable prices. However, with the change in customer preference towards value and sustainability, the upgraded category of the used car market experiences consistent growth with the factors of accessibility and availability of various models and brands across the world. Recent developments include: In June 2023, Jardine Cycle & Carriage Limited, the investment arm of Hong Kong-based Jardine Matheson collaborated with Southeast Asian car marketplace Carro. According to a joint statement by the companies, this collaboration will provide Carro with access to a broader selection of high-quality used cars while enabling Carro to improve Republic Auto's digital services and offerings. The alliance aims to strengthen both companies' positions in the market and enhance their customer experiences. , In August 2022, Lexus, a subsidiary of TOYOTA MOTOR CORPORATION, launched the Lexus Certified Programme in the Indian market. This strategic move by Lexus is geared towards providing current Lexus vehicle owners the avenue to secure an elevated resale valuation for their automobiles. Moreover, the initiative aims to augment the accessibility and affordability of Lexus models for prospective customers. By implementing this certified program, Lexus aims to amplify customer contentment while bolstering the brand's prominence within the Indian automotive sector. .

1) Data Introduction • The USA - 2025 - Car Price Dataset includes 13 key characteristics, including vehicle price, brand, model, year, mileage, color, and title status, based on approximately 2,500 used car transaction information in the U.S., allowing you to analyze price trends and brand-specific preferences in the 2025 U.S. used car market.

2) Data Utilization (1) USA - 2025 - Car Price Dataset has characteristics that: • This dataset includes a variety of vehicle and transaction-related characteristics, including vehicle price, brand, model, year, mileage, title status, color, vehicle identification information (vin, lot). (2) USA - 2025 - Car Price Dataset can be used to: • Used Car Price Forecasting Model Development: Using key characteristics such as brand, model, year, mileage, etc., used car price forecasting and valuation models based on machine learning can be built. • Market trends and consumer analysis: Data analysis can be used to understand market trends and consumer preferences, including yearly and brand price changes, popular models, and correlations between mileage and price.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for Rebel Cars on 2025-08-29. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Dataset

This dataset was created by Abdelrahman Kamel

Released under Apache 2.0

Contents

The Japanese passenger car market was finally on the rise to reach $66.4B in 2024, after two years of decline. Overall, consumption, however, showed a slight contraction. Passenger car consumption peaked at $79.7B in 2021; however, from 2022 to 2024, consumption stood at a somewhat lower figure.

Snapshot img

Used Car Market Size 2025-2029

The used car market size is forecast to increase by USD 885.3 billion, at a CAGR of 7.4% between 2024 and 2029.

The market is experiencing dynamic shifts, driven by intensifying competition leading to an escalating launch of new car models and increasing consumer preferences for alternative mobility solutions. These trends are reshaping the market landscape, presenting both opportunities and challenges for stakeholders. Competition in the market is escalating, prompting automakers to introduce new models at a faster pace to maintain market share. This trend, in turn, is increasing the availability of pre-owned vehicles, providing consumers with a wider range of options. Meanwhile, consumer preferences are evolving, with a growing demand for car subscription services and car-sharing solutions.
These services cater to consumers seeking flexible, cost-effective mobility solutions, particularly in urban areas. However, this shift towards alternative mobility models poses a challenge for traditional used car dealers, requiring them to adapt and innovate to remain competitive. Digital marketing, including social media, mobile apps, and data analytics, helps sellers reach a wider audience. The market is undergoing significant transformation, fueled by increasing competition and evolving consumer preferences. Companies seeking to capitalize on opportunities and navigate challenges effectively must stay abreast of these trends and adapt their strategies accordingly. This may involve exploring new business models, such as car subscription services, or enhancing their offerings to cater to the changing needs of consumers.

What will be the Size of the 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.
Request Free Sample

The market continues to evolve, with dynamic market activities unfolding across various sectors. Internal combustion engines power the majority of the market, but the emergence of electric vehicles is reshaping the landscape. Steering systems and suspension systems ensure optimal vehicle handling, while safety features such as backup cameras, parking sensors, and blind spot monitoring are becoming increasingly essential. Title transfer and engine displacement are crucial components of the sales process, with customer service and fuel efficiency key differentiators for dealers. Inventory management and pricing strategies are critical for wholesale auctions and online auto dealers, who must navigate the complex interplay of supply and demand. Vehicle registration and title transfer processes can be streamlined through digital means, and car refurbishment and connected car technology enhance safety and convenience.

Car loans and auto auctions offer financing options for buyers, while certified pre-owned vehicles and vehicle history reports provide transparency and value assurance. Adaptive cruise control and lane departure warning systems are among the advanced technologies enhancing the driving experience. Fuel efficiency and body panels are essential considerations for buyers, with infotainment systems and navigation systems adding convenience and value. The market's continuous evolution underscores the importance of staying informed and adaptable to changing consumer preferences and industry trends.

How is this Used Car Industry segmented?

The used car industry 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.

Vehicle Type

  Compact
  SUV
  Mid size


Channel

  Organized
  Unorganized


Fuel Type

  Diesel
  Petrol


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Vehicle Type Insights

The Compact segment is estimated to witness significant growth during the forecast period. The compact car segment in the used automobile market experiences significant growth due to increasing consumer preference for personal mobility and the availability of advanced features in compact vehicles. APAC and Europe lead the market, contributing a substantial share to the compact segment. Compact cars, which sit between subcompact and mid-size vehicles, offer easier handling in traffic congestion and lower emissions. Popular pre-owned compact models include the Fiat Panda and Volkswagen Golf in Europe. Inventory management plays a crucial role in the market, ensuring a steady supply of various models. Used car dealers source vehicles from private sellers, wholesale auctions, and trade-ins.

Vehicle history reports help assess the con

Dataset

This dataset was created by RITIK MAHESHWARI

Contents

The German used car market is predicted to grow at a compound annual growth rate of **** percent between 2021 and 2027. By 2027, the market is expected to have grown to ****** billion US dollars, an increase of ***** billion US dollars from its size in 2021.

The statistic shows a prediction for the world market shares of new car types in 2020. In that year, according to this forecast, electric cars will have a world market share of 8 percent.

The used car market is projected to reach over *** trillion U.S. dollars in 2027, up from *** trillion in 2020. This represents a compound annual growth rate of around *** percent across seven years. This growth is in part attributed to a shift in car ownership patterns across the globe, as well as the rise of online sales channels, which make used cars more accessible to customers.