The U.S. auto industry sold nearly three million cars in 2024. That year, total car and light truck sales were approximately 15.9 million in the United States. U.S. vehicle sales peaked in 2016 at roughly 17.5 million 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 77 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 40 U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about 2.17 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.

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

Key information about United States Motor Vehicle Sales: Passenger Cars

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

Graph and download economic data for Monthly State Retail Sales: Motor Vehicle and Parts Dealers in Florida (MSRSFL441) from Jan 2019 to Nov 2024 about dealers, parts, vehicles, retail trade, FL, sales, retail, and USA.

United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data was reported at 38,965.000 Unit in Dec 2024. This records an increase from the previous number of 28,250.000 Unit for Sep 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data is updated quarterly, averaging 19,904.000 Unit from Mar 2024 (Median) to Dec 2024, with 4 observations. The data reached an all-time high of 38,965.000 Unit in Dec 2024 and a record low of 2,803.000 Unit in Mar 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck 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 US Number of Registered Vehicles

• US Number of Registered Vehicles was reported at 283,400,986 Unit in Dec 2022.
• This records an increase from the previous number of 282,354,993 Unit for Dec 2021.
• US Number of Registered Vehicles data is updated yearly, averaging 93,949,852 Unit from Dec 1910 to 2022, with 113 observations.
• The data reached an all-time high of 283,400,986 Unit in 2022 and a record low of 468,500 Unit in 1910.
• US Number of Registered Vehicles data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: No of Registered Vehicles: Annual.

In the fourth quarter of 2024, over 365,800 battery-electric vehicles were sold in the United States. This was a year-over-year increase of around 15.2 percent compared to the sales recorded in the fourth quarter of 2023. The fourth quarter of 2024 also recorded a hike in sales compared to the third quarter of that same year, making it the best quarter for BEV sales in the country across the past two years. Global EV Race - Where does the U.S. stand? Over the last few years, consumers have perceived Electric Vehicles (EVs) as a far more appealing option due to their increased range, battery life, variety of models, and affordability. Therefore, the EV market has grown fast in recent years and is forecast to expand to 1.1 trillion U.S. dollars in 2029. Though the global demand for electric cars has been escalating, American sales lag behind Europe and the Asia-Pacific regions. In 2023, Chinese customers bought around 8.1 million plug-in EVs, considerably more than American customers' purchases,around 1.4 million that year. China is the leader of the global EV race, with a substantial 36 percent growth in sales year-on-year in 2023. However, given the market share of electric vehicles in the global automotive industry, this still can be anyone's race. Outlook of the U.S. market There is still a lack of interest in electric vehicles among American buyers compared to European and Asian consumers. In the first quarter of 2021, the share of the battery electric vehicle was 55.1 percentage points more in Norway than in the U.S.. One of the main reasons is that American consumers still anticipate that EVs are more expensive than gasoline vehicles and diesel internal combustion engine cars (ICE). This perception is partially true in the U.S. since the battery production market is highly concentrated in Asia, where the companies have logistical advantages, leading automotive makers to offer better prices. On the other hand, high licensing fees for electric vehicles are another factor affecting the consumption behaviors of automobile purchasers. In many states, the licensing fees for electric cars are considerably higher than their ICE counterparts. EV licensing fees were around 345 U.S. dollars compared to 25 U.S. dollars for standard vehicles in Georgia in 2021. Together, these factors significantly impact the individual perception of electric cars in the United States.

In 2022, U.S. auto shoppers bought approximately 2.86 million autos. Meanwhile, light trucks accounted for more than 79 percent of light vehicles sold to individual customers and corporate fleets in the United States.

Auto Exports in the United States decreased to 64.40 Thousand in December from 68.70 Thousand in November of 2024. This dataset includes a chart with historical data for the United States Auto Exports.

Success.ai’s Verified Company Data for the Automotive Industry in North America provides businesses with reliable, detailed insights into automotive companies and decision-makers across the region.

Drawing from over 170 million verified professional profiles and 30 million company profiles, this dataset delivers comprehensive firmographic details, business locations, and direct contact information for automotive manufacturers, suppliers, dealerships, and service providers.

Whether you’re targeting OEMs, aftermarket suppliers, or dealership networks, Success.ai ensures your outreach and strategic initiatives are supported by accurate, continuously updated, and AI-validated data, all backed by our Best Price Guarantee.

Why Choose Success.ai’s Automotive Industry Data?

1. Comprehensive Automotive Company Insights

   • Access verified firmographic details such as company size, revenue range, production capabilities, and geographic locations.
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   • Includes profiles of manufacturers, Tier 1 and Tier 2 suppliers, dealerships, and service centers across the U.S., Canada, and Mexico.
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   • Real-time updates reflect leadership changes, market expansions, plant openings, and emerging business opportunities.
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1. Decision-Maker Profiles in the Automotive Sector

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   • Target professionals influencing vehicle design, supplier contracts, and dealership networks.

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   • Build relationships with Tier 1 and Tier 2 suppliers managing raw materials, components, or technology integrations.
   • Present products or services that enhance efficiency, cost savings, or compliance with sustainability regulations.

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   • Explore opportunities to enter new markets or expand into EV production, autonomous vehicles, or connected car technologies.
   • Analyze firmographics and location data to select regions or partners aligned with your business goals.

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   • Position your solutions to support innovation in EVs, advanced manufacturing, or intelligent supply chains.

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

United States EIA Projection: New Vehicle Sales: Electric data was reported at 2,386.538 Unit th in 2050. This records an increase from the previous number of 2,354.428 Unit th for 2049. United States EIA Projection: New Vehicle Sales: Electric data is updated yearly, averaging 2,075.404 Unit th from Dec 2022 (Median) to 2050, with 29 observations. The data reached an all-time high of 2,386.538 Unit th in 2050 and a record low of 725.745 Unit th in 2022. United States EIA Projection: New Vehicle Sales: Electric data remains active status in CEIC and is reported by U.S. Energy Information Administration. The data is categorized under Global Database’s United States – Table US.RA010: New Vehicle Sales: Projection.

Imports - Automotive Vehicle, Parts & Engines (Census) in the United States increased to 41945.82 USD Million in February from 40880.14 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Automotive Vehicle, Parts & Engines.

Over the course of the 20th century, the number of operational motor vehicles in the United States grew significantly, from just 8,000 automobiles in the year 1900 to more than 183 million private and commercial vehicles in the late 1980s. Generally, the number of vehicles increased in each year, with the most notable exceptions during the Great Depression and Second World War.

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

This dataset contains data from a survey of new-car buying households in 13 US states conducted December 2014 to January 2015. The original study is described in these technical reports:

Kurani, K S., N. Caperello, J. TyreeHageman New Car Buyers' Valuation of Zero-Emission Vehicles: California, Institute of Transportation Studies, University of California, Davis, Research Report UCD-ITS-RR-16-05 (2016). https://escholarship.org/uc/item/28v320rq

Kurani, K.S., N. Caperello, J. TyreeHageman NCST Research Report: Are We Hardwiring Gender Differences into the Market for Plug-in Electric Vehicles? Institute of Transportation Studies, University of California, Davis, Research Report UCD-ITS-RR-18-05 (2018). https://itspubs.ucdavis.edu/publication_detail.php?id=2888

This dataset is associated specifically with a subsequent technical report:

Kurani, K.S. and K. Buch Across Early Policy and Market Contexts Women and Men Show Similar Interest in Electric Vehicles, National Center for Sustainable Transportation, University of California, Davis, Research Report. 2019. https://escholarship.org/uc/item/9zz8n5x5

Data are from households who had a acquired at least one household vehicle as new (rather than used) since January 2008. The questionnaire was administered on-line to households in the following US states: California, Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Oregon, Rhode, Island, Vermont, and Washington. Most of these states are so called "ZEV states," i.e., they had adopted California's Zero Emission Vehicle (ZEV) Mandate. Those states that were not ZEV states were included to facilitate regional analysis or because they were otherwise important to the initial launch of retail ZEV sales in 2011. The primary regional analysis was for the Northeast States for Coordinated Air Use Management (NESCAUM). The NESCAUM member states are Connecticut, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, and Vermont. The total sample size is 5,654 for all states; individual state samples sizes are available in the above referenced, Kurani et al (2016).

Analyses were conducted at the state and regional, i.e., NESCAUM, levels. Thus, there are individual data sets for each state for which there is a state-level analysis (California, Delaware, Maryland, Massachusetts, New Jersey, New York, Oregon, and Washington) and NESCAUM. Data for California are included in this release despite the fact its analysis was previously conducted under a separate study. California serves as the reference case because it has the most supportive policy and market context for ZEVs and its analysis is specifically referenced in the report associated with these data sets.

Since the goal was to produce the best possible analysis for each state or region, there are differences in their data sets. While variable names and codes follow consistent rules across all the data sets, which variables are in the data does vary across states and the NESCAUM region. The data released here are those required to replicate the analyses in the associated report.

For each state and region, data are available in two formats indicated by their file extensions: .jmp and .csv. Files with the .jmp extension are proprietary to the JMP© statistics program from SAS Institute. These files contain the data and as well as information about variable coding, variable values, value ordering, and other information in column notes. In effect, the .jmp files contain the data and the code book. The .csv files are generally accessible for import into a wide variety of analytical software but contain no explanatory notes.

Finally, an annotated version of the on-line questionnaire is available as Appendix F of the original report from California (Kurani et al 2016) cited above. The on-line instrument is customized to each respondent as they complete it. More than simple skip patterns, as respondents answer questions content of subsequent questions is populated with information participants provide. Some of this requires calls to data external to the survey instrument; some of these data are proprietary and some are no longer available. Therefore, no "live" version of the on-line questionnaire from 2014 is maintained. The annotated version and the description of the survey provided in the linked report are provided to assist data users.

While household ownership and purchase of all light-duty passenger cars and trucks approach gender parity, to date zero emission vehicles (ZEVs) are being purchased by far more men than women. Prior analysis of data from California finds no reason based in the prospective interest in ZEVs of female and male respondents why this difference should persist. The present report extends the California analysis to 12 other US states with varying ZEV policy and market contexts.

Among many other contextual, socio-economic, demographic, and attitudinal measures, the survey solicited participants' prospective interest in acquiring an ZEV, that is, their interest in their next new car. Participants then indicated why they were motivated to select a ZEV or what motivated them to not select one. Factor analysis was used to reduce the dimensionality of participants' prior awareness, experience, knowledge, and assessments of ZEVs. Via nominal logistic regression modeling, differences in prospective interest in ZEVs between female and male respondents are examined. Given their prospective interest, the motivations of female and male respondents are compared.

Overall, no difference between female and male participants in prospective interest in a ZEV rises to the level of the observed differences in real markets. Further, the multivariate modeling indicates no statistically significant effect of a sex indicator on prospective interest in ZEVS almost anywhere in these states. Where there is a difference, female participants are estimated to be more likely to choose a ZEV than their male counterparts.

While participants from both sexes tend to give high scores to the same ZEV (de)motivations, differences in their rank orders repeat generalizations from other research. On average, female respondents score environmental motivations higher than do male respondents. On average, interest in "new technology" is more motivating to male than female participants. Conversely, on average female respondents who do not select a ZEV score "unfamiliar technology" more highly than their male counterparts.

Within the variation in policy and market contexts represented by the states in this study, no finding here explains why similar prospective interest among female and male participants in ZEVs from the beginning of 2015 has yet to be turned toward equal participation in ZEV markets. Explanations may lie in factors not modeled here.

The United States Electric Car Market is segmented by Vehicle Configuration (Passenger Cars) and by Fuel Category (BEV, FCEV, HEV, PHEV). The report offers market size in both market value in USD and market volume in unit. Further, the report includes a market split by Vehicle Type, Vehicle Configuration, Vehicle Body Type, Propulsion Type, and Fuel Category.

The Cars Overhead With Context (COWC) data set is a large set of annotated cars from overhead. It is useful for training a device such as a deep neural network to learn to detect and/or count cars. More information can be obtained by reading our paper here. The dataset has the following attributes: (1) Data from overhead at 15 cm per pixel resolution at ground (all data is EO). (2) Data from six distinct locations: Toronto Canada, Selwyn New Zealand, Potsdam and Vaihingen Germany, Columbus and Utah United States. (3) 32,716 unique annotated cars. 58,247 unique negative examples. (4) Intentional selection of hard negative examples. (5) Established baseline for detection and counting tasks. (6) Extra testing scenes for use after validation. Data can be downloaded from our FTP server. The data includes wide area imagery with annotations as well as precompiled image sets for training/validation of classification and counting. Examples of the precompiled image sets are seen on the right. Th

Graph and download economic data for Imports of goods: Automotive vehicles, engines, and parts (B651RC1Q027SBEA) from Q1 1967 to Q4 2024 about engines, parts, imports, vehicles, goods, GDP, and USA.

The Motor Vehicle Collisions vehicle table contains details on each vehicle involved in the crash. Each row represents a motor vehicle involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details. Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.