Worldwide car sales grew to around ** million automobiles in 2024, up from around **** million units in 2023. Throughout 2020 and 2021, the sector experienced a downward trend on the back of a slowing global economy, while COVID-19 and the Russian war on Ukraine contributed to shortages in the automotive semiconductor industry and further supply chain disruptions in 2022. Despite these challenges, 2023 and 2024 sales surpassed pre-pandemic levels and are forecast to keep rising through 2025 and 2026. Covid-19 hits car demand It had been estimated pre-pandemic that international car sales were on track to reach ** million. While 2023 sales are still far away from that goal, this was the first year were car sales exceeded pre-pandemic values. The automotive market faced various challenges in 2023, including supply shortages, automotive layoffs, and strikes in North America. However, despite these hurdles, the North American market was among the fastest-growing regions in 2024, along with Eastern Europe and Asia, as auto sales in these regions increased year-on-year. Chinese market recovers After years of double-digit growth, China's economy began to lose steam in 2022, and recovery has been slow through 2023. China was the largest automobile market based on sales with around **** million units in 2023. However, monthly car sales in China were in free-fall in April 2022 partly due to shortages, fears over a looming recession, and the country grappling with the COVID-19 pandemic. By June of that same year, monthly sales in China were closer to those recorded in 2021.

The U.S. auto industry sold nearly ************* cars in 2024. That year, total car and light truck sales were approximately ************ in the United States. U.S. vehicle sales peaked in 2016 at roughly ************ units. Pandemic impact The COVID-19 pandemic deeply impacted the U.S. automotive market, accelerating the global automotive semiconductor shortage and leading to a drop in demand during the first months of 2020. However, as demand rebounded, new vehicle supply could not keep up with the market. U.S. inventory-to-sales ratio dropped to its lowest point in February 2022, as Russia's war on Ukraine lead to gasoline price hikes. During that same period, inflation also impacted new and used car prices, pricing many U.S. consumers out of a market with increasingly lower car stocks. Focus on fuel economy The U.S. auto industry had one of its worst years in 1982 when customers were beginning to feel the effects of the 1973 oil crisis and the energy crisis of 1979. Since light trucks would often be considered less fuel-efficient, cars accounted for about ** percent of light vehicle sales back then. Thanks to improved fuel economy for light trucks and cheaper gas prices, this picture had completely changed in 2020. That year, prices for Brent oil dropped to just over ** U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about **** U.S. dollars per gallon in 2020 - and cars only accounted for less than one-fourth of light vehicle sales that year. Four years on, prices are dropping again, after being the highest on record since 1990 in 2022.

Total Vehicle Sales in the United States decreased to 15.30 Million in October from 16.40 Million in September of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This is the Car sales data set which include information about different cars . This data set is being taken from the Analytixlabs for the purpose of prediction In this we have to see two things

First we have see which feature has more impact on car sales and carry out result of this

Secondly we have to train the classifier and to predict car sales and check the accuracy of the prediction.

The Car Sales Dataset is a collection of data that contains information on various car models sold in the market. The dataset includes variables such as the price of the car in thousands of dollars, engine size, horsepower, fuel efficiency, and sales. 1. Price_in_thousands: This variable represents the price of the car in thousands of dollars, which is a measure of the car's cost. 2. Engine_size: This variable represents the size of the engine in cubic centimeters, which is a measure of the car's power. 3. Horsepower: This variable represents the power of the car's engine in horsepower, which is a measure of the car's ability to accelerate and maintain speed. 4. Fuel_efficiency: This variable represents the number of miles per gallon (mpg) that the car can travel on a single gallon of fuel, which is a measure of the car's fuel efficiency. 5. Sales: This variable represents the number of units of the car sold in a given period, which is a measure of the car's popularity and demand in the market.

Overall, this dataset can be used to analyze the relationships between the different variables and to predict the sales of a car based on its price, engine size, horsepower, and fuel efficiency. It can be helpful for businesses and consumers alike in making informed decisions about buying and selling cars.

Total Vehicle Sales in China increased to 3322000 Units in October from 3226000 Units in September of 2025. This dataset provides - China Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Context

Automobile data holds immense importance as it offers insights into the functioning and efficiency of the automotive industry. It provides valuable information about car models, specifications, sales trends, consumer demographics, and preferences, which car manufacturers and dealerships can leverage to optimize their operations and enhance customer experiences. By analyzing data on vehicle reliability, fuel efficiency, safety ratings, and resale values, the automotive industry can identify trends and implement strategies to produce more reliable and environmentally friendly vehicles, improve safety standards, and enhance the overall value of cars for consumers. Moreover, regulatory bodies and policymakers rely on this data to enforce regulations, set emissions standards, and make informed decisions regarding automotive policies and environmental impacts. Researchers and analysts use car purchase data to study market trends, assess the environmental impact of various vehicle types, and develop strategies for sustainable growth within the industry. In essence, car purchase data serves as a foundation for informed decision-making, operational efficiency, and the overall advancement of the automotive sector.

Content

This dataset comprises diverse parameters relating to car purchases and ownership on a global scale. The dataset prominently incorporates fields such as 'First Name', 'Last Name', 'Country', 'Car Brand', 'Car Model', 'Car Color', 'Year of Manufacture', and 'Credit Card Type'. These columns collectively provide comprehensive insights into customer demographics, vehicle details, and payment information. Researchers and industry experts can leverage this dataset to analyze trends in car purchasing behavior, optimize the customer car-buying experience, evaluate the popularity of car brands and models, and understand payment preferences within the automotive industry.

Dataset Glossary (Column-wise)

• First Name - The first name of the car purchaser.
• Last Name - The last name of the car purchaser.
• Country - The country of residence of the car purchaser.
• Car Brand - The brand or manufacturer of the purchased car.
• Car Model - The specific model of the purchased car.
• Car Color - The color of the purchased car.
• Year of Manufacture - The year the car was manufactured.
• Credit Card Type - The type of credit card used for the car purchase.

Structure of the Dataset

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Acknowledgement

The dataset provided here is a simulated example and was generated using the online platform found at Mockaroo. This web-based tool offers a service that enables the creation of customizable mock datasets that closely resemble real data. It is primarily intended for use by developers, testers, and data experts who require sample data for a range of uses, including testing databases, filling applications with demonstration data, and crafting lifelike illustrations for presentations and tutorials. To explore further details, you can visit their website.

Cover Photo by: Freepik

Thumbnail by: Car icons created by Freepik - Flaticon

Being one of the largest automotive sectors, India had over 326 million registered vehicles as of the financial year 2020. It was the largest producer of two-wheelers across the globe in 2025. The market within the country was also dominated by this segment. In financial year 2025, close to 19.61 million units of two-wheelers were sold domestically across the South Asian country. A decline in the sales volume of two-wheelers has been witnessed between 2020 and 2022. Hero MotoCorpHero MotoCorp had the maximum share in the two-wheeler segment in India. The company was the worldwide leader in two-wheeler manufacturing. The company has taken up the initiative of manufacturing electric scooters and bikes. To reduce the high battery costs that create a significant cost difference between the petrol and the battery variants, the Indian government has introduced the National Programme on Advanced Chemistry Cell (ACC) in 2022 to inventivize battery manufacturing. Two-wheeler market outlookThe Indian government has set a target to electrify a major proportion of the two-wheelers within the nation. However, the manufacturers have encouraged the government to adopt more ‘realistic’ expectations, as the former’s scheme would mean the electrification of over two million vehicles. With the two-wheeler industry estimated to grow at over nine percent in the next few years, more investments in the clean energy sector could pave a way for the domestic market.

SpaceKnow uses satellite (SAR) data to capture activity in electric vehicles and automotive factories.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data that monitors the area which is covered with assembled light vehicles in square meters.

We offer 3 delivery options: CSV, API, and Insights Dashboard

Available companies Rivian (NASDAQ: RIVN) for employee parking, logistics, logistic centers, product distribution & product in the US. (See use-case write up on page 4) TESLA (NASDAQ: TSLA) indices for product, logistics & employee parking for Fremont, Nevada, Shanghai, Texas, Berlin, and Global level Lucid Motors (NASDAQ: LCID) for employee parking, logistics & product in US

Why get SpaceKnow's EV datasets?

Monitor the company’s business activity: Near-real-time insights into the business activities of Rivian allow users to better understand and anticipate the company’s performance.

Assess Risk: Use satellite activity data to assess the risks associated with investing in the company.

Types of Indices Available Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices. The first one is CFI-R which gives you level data, so it shows how many square meters are covered by metallic objects (for example assembled cars). The second one is CFI-S which gives you change data, so it shows you how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Product index This index monitors the area covered by manufactured cars. The larger the area covered by the assembled cars, the larger and faster the production of a particular facility. The index rises as production increases.

Product distribution index This index monitors the area covered by assembled cars that are ready for distribution. The index covers locations in the Rivian factory. The distribution is done via trucks and trains.

Employee parking index Like the previous index, this one indicates the area covered by cars, but those that belong to factory employees. This index is a good indicator of factory construction, closures, and capacity utilization. The index rises as more employees work in the factory.

Logistics index The index monitors the movement of materials supply trucks in particular car factories.

Logistics Centers index The index monitors the movement of supply trucks in warehouses.

Where the data comes from: SpaceKnow brings you information advantages by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the EV industry with just a 4-6 day lag, on average.

The EV data help you to estimate the performance of the EV sector and the business activity of the selected companies.

The backbone of SpaceKnow’s high-quality data is the locations from which data is extracted. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

Each individual location is precisely defined so that the resulting data does not contain noise such as surrounding traffic or changing vegetation with the season.

We use radar imagery and our own algorithms, so the final indices are not devalued by weather conditions such as rain or heavy clouds.

→ Reach out to get a free trial

Use Case - Rivian:

SpaceKnow uses the quarterly production and delivery data of Rivian as a benchmark. Rivian targeted to produce 25,000 cars in 2022. To achieve this target, the company had to increase production by 45% by producing 10,683 cars in Q4. However the production was 10,020 and the target was slightly missed by reaching total production of 24,337 cars for FY22.

SpaceKnow indices help us to observe the company’s operations, and we are able to monitor if the company is set to meet its forecasts or not. We deliver five different indices for Rivian, and these indices observe logistic centers, employee parking lot, logistics, product, and prod...

China Automobile: Sales data was reported at 31,436,193.000 Unit in 2024. This records an increase from the previous number of 30,093,698.000 Unit for 2023. China Automobile: Sales data is updated yearly, averaging 18,905,774.500 Unit from Dec 1999 (Median) to 2024, with 26 observations. The data reached an all-time high of 31,436,193.000 Unit in 2024 and a record low of 1,831,905.000 Unit in 1999. China Automobile: Sales data remains active status in CEIC and is reported by China Association of Automobile Manufacturers. The data is categorized under China Premium Database’s Automobile Sector – Table CN.RAB: Automobile Sales: Annual.

Electric Vehicle Sales: ytd: Lucid data was reported at 5,766.000 Unit in Sep 2024. This records an increase from the previous number of 3,822.000 Unit for Jun 2024. Electric Vehicle Sales: ytd: Lucid data is updated quarterly, averaging 2,318.000 Unit from Dec 2021 (Median) to Sep 2024, with 12 observations. The data reached an all-time high of 5,940.000 Unit in Dec 2023 and a record low of 460.000 Unit in Mar 2022. Electric Vehicle Sales: ytd: Lucid data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.

Key information about United States Motor Vehicle Sales: Passenger Cars

• United States Motor Vehicle Sales: Passenger Cars was reported at 2,984,039.000 Unit in Dec 2024.
• This records a decrease from the previous number of 3,116,647.000 Unit for Dec 2023.
• US Motor Vehicle Sales: Passenger Cars data is updated yearly, averaging 7,689,110.000 Unit from Dec 2005 to 2024, with 20 observations.
• The data reached an all-time high of 7,761,592.000 Unit in 2006 and a record low of 2,858,575.000 Unit in 2022.
• US Motor Vehicle Sales: Passenger Cars data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVS: Motor Vehicle Sales: by Country and Type: Passenger Car (PC).

This dataset provides a comprehensive overview of motor vehicle production from 1950 to 2023, covering global trends. It includes annual production numbers for various years, highlighting peak production values and the year they occurred. The dataset is useful for analyzing long-term automotive industry trends, economic impacts, and production shifts over time. Potential Use Cases: Trend analysis in the automotive industry Economic impact assessment Forecasting vehicle production Understanding peak production years Feel free to ask me Any question and if you need any other dataset let me know i am practicing web scraping , i will do it and upload on kaggle

This dataset provides values for TOTAL VEHICLE SALES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

Car Registrations in European Union increased to 916609 Units in October from 888672 Units in September of 2025. This dataset provides - European Union Car Registrations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Electric Vehicle Sales: ytd: Fisker data was reported at 1,660.000 Unit in Mar 2024. This records a decrease from the previous number of 2,669.000 Unit for Dec 2023. Electric Vehicle Sales: ytd: Fisker data is updated quarterly, averaging 1,660.000 Unit from Sep 2023 (Median) to Mar 2024, with 3 observations. The data reached an all-time high of 2,669.000 Unit in Dec 2023 and a record low of 997.000 Unit in Sep 2023. Electric Vehicle Sales: ytd: Fisker data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.

Electric Vehicle Sales: ytd: Kia data was reported at 8,656.000 Unit in Mar 2025. This records a decrease from the previous number of 56,099.000 Unit for Dec 2024. Electric Vehicle Sales: ytd: Kia data is updated quarterly, averaging 13,566.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 56,099.000 Unit in Dec 2024 and a record low of 680.000 Unit in Mar 2021. Electric Vehicle Sales: ytd: Kia data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.

Quarterly data on vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.