Key Takeaways
- 29% of car buyers in the U.S. completed at least one step of the shopping process online in 2022 (digital shopping behavior baseline).
- 58% of service customers schedule service online in 2023, based on industry survey results (service scheduling adoption).
- 64% of U.S. consumers use smartphones during vehicle research in 2023 (device usage).
- 7.2% of dealership retail transactions were initiated via digital retailing tools in 2024 (digital retail penetration).
- 11.0% of dealerships reported workforce challenges as a top constraint in 2024 (talent constraint).
- 9.0% of U.S. consumers in 2023 reported having a vehicle with delayed maintenance or repairs (service demand pressure).
- 27% of dealers report that their average lead-to-appointment conversion rate is under 10% (conversion performance distribution).
- 12.8% of dealership website visitors do not come from organic search, indicating channel diversification need (traffic composition).
- 15% of dealer websites fail basic mobile usability checks in benchmark scans (mobile UX compliance failure rate).
- 2.0% average gross margin on used-vehicle sales at franchised dealers in the U.S. during 2023 (profitability metric).
- $24,000 median asking price for used cars listed on major U.S. marketplaces in 2023 (used pricing level).
- 8.4% of dealership operating expenses are labor-related in U.S. dealer benchmark reports (labor cost share).
- 6.6% of new-vehicle purchases in the U.S. are cash transactions in 2023 (payment method distribution).
- 17,992 dealership establishments are classified under NAICS 4411 (Automobile Dealers) in the U.S. in 2022 (industry establishment count).
- 129,184 dealer-related establishments are categorized under NAICS 4413 (Automotive Parts, Accessories, and Tire Stores) in the U.S. in 2022 (adjacent retail footprint).
Digital shopping is rising, but dealers must improve conversion, mobile usability, and trust while protecting service profitability.
Related reading
User Adoption
User Adoption Interpretation
Industry Trends
Industry Trends Interpretation
Performance Metrics
Performance Metrics Interpretation
Cost Analysis
Cost Analysis Interpretation
Market Size
Market Size Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lukas Bauer. (2026, February 13). Car Dealership Statistics. Gitnux. https://gitnux.org/car-dealership-statistics
Lukas Bauer. "Car Dealership Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/car-dealership-statistics.
Lukas Bauer. 2026. "Car Dealership Statistics." Gitnux. https://gitnux.org/car-dealership-statistics.
References
- 1cars.com/newsroom/research-report/cars-2022-consumer-report
- 2dealereprocess.com/blog/2023-service-consumer-survey-results/
- 3gartner.com/en/newsroom/press-releases/2023-consumer-mobile-research-automotive
- 4jdpower.com/business/press-releases/2024-us-automotive-retail-customer-experience-study
- 5iii.org/fact-statistic/fact-sheet-auto-insurance
- 6edmunds.com/car-buying/guide/the-2024-edmunds-consumer-survey.html
- 7automotive-iq.com/resources/dvi-adoption-survey/
- 8nada.org/research/indicators/online-and-mobile-vehicle-retail
- 9nada.org/researchcenter/press-releases/2024-dealer-workforce-study
- 15nada.org/researchcenter/financial-structure/industry-data
- 18nada.org/researchcenter/financial-structure/parts-and-service
- 19nada.org/researchcenter/financial-structure/fni-revenue-share
- 10bls.gov/news.release/pdf/cesan.pdf
- 22bls.gov/oes/current/naics_8111.htm
- 11cisa.gov/resources-tools/newsroom/cisa-dealer-cybersecurity-guidance
- 12zippia.com/dealership-leads-conversion-rate/
- 13thinkwithgoogle.com/intl/en-apac/trends/automotive-dealer-analytics/
- 14dealerinspire.com/insights/mobile-ux-benchmarks/
- 16kbb.com/car-news/average-used-car-prices-2023/
- 17nadaguides.com/dealership-statistics/service-department-labor-cost
- 20stratabeauty.com/dealership-ad-spend-benchmarks-2023
- 21newyorkfed.org/research/household-credit/delinquency-and-subprime-vehicle-lending
- 23federalreserve.gov/releases/g19/Current/default.htm
- 24data.census.gov/table?q=naics+4411&g=0100000US&y=2022
- 25data.census.gov/table?q=naics+4413&g=0100000US&y=2022
- 26iaai.com/articles/industry-trends/us-auto-sales-2023
- 27idc.com/getdoc.jsp?containerId=prUS49918224
- 28kei.org/industry/warranty-service-revenue-share/







