Key Takeaways
- 6.1% year-over-year growth rate for the U.S. tire stores industry in 2023
- 4.2% year-over-year growth rate for the U.S. auto repair and maintenance industry in 2023
- U.S. vehicle registrations were 290.4 million in 2022
- $60.5 billion U.S. automotive service and maintenance spending by households in 2022 (BLS Consumer Expenditure Survey aggregates reported in BLS tables)
- 2.2% of annual household expenditures were on transportation in 2022 (includes vehicle operations and maintenance)
- $27.00 median hourly wage for automotive service technicians and mechanics in the U.S. in 2023
- 48% of service departments use digital multimeters/scanning tools for diagnostics as their standard workflow (Autotech/industry survey)
- 45% of repair customers expect real-time status updates during the service process — a customer expectation adoption benchmark
- 62% of service customers in 2023 said they would consider using a shop recommended by an online review — review-driven adoption metric
- 41 minutes average time to complete a digital inspection from start to estimate (reported by shop operations survey)
- Mobile mechanic job completion rate of 95% reported by a national roadside assistance partner survey (2021)
- Collision repair cycle time averaged 18.2 days from authorization to completion in 2023 (industry benchmark)—measurable throughput metric for automotive services
- $1.2 billion global market size for automotive digital inspection software in 2024
- $850 million global market size for automotive ADAS calibration services in 2023
- $114.7 billion was the estimated U.S. market size for automotive repair and maintenance in 2023 — total service spend for repair/maintenance
Growing demand and better digital inspections are driving steady U.S. automotive repair and maintenance growth.
Related reading
Industry Trends
Industry Trends Interpretation
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Cost Analysis
Cost Analysis Interpretation
User Adoption
User Adoption Interpretation
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Performance Metrics
Performance Metrics Interpretation
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Market Size
Market Size Interpretation
Customer Demand
Customer Demand Interpretation
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Labor & Wages
Labor & Wages 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.
Priyanka Sharma. (2026, February 13). Automotive Services Industry Statistics. Gitnux. https://gitnux.org/automotive-services-industry-statistics
Priyanka Sharma. "Automotive Services Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/automotive-services-industry-statistics.
Priyanka Sharma. 2026. "Automotive Services Industry Statistics." Gitnux. https://gitnux.org/automotive-services-industry-statistics.
References
- 1ibisworld.com/united-states/market-research-reports/automobile-tire-stores-market/
- 2ibisworld.com/united-states/market-research-reports/auto-repair-shops-industry/
- 26ibisworld.com/united-states/market-size/automobile-repair-and-maintenance/2550/
- 3fhwa.dot.gov/policyinformation/statistics/2022/vm1.cfm
- 4fhwa.dot.gov/policyinformation/statistics/2022/dl22.cfm
- 5bls.gov/ooh/installation-maintenance-and-repair/automotive-service-technicians-and-mechanics.htm
- 10bls.gov/cex/tables.htm
- 11bls.gov/cex/home.htm
- 12bls.gov/oes/current/oes49.htm
- 31bls.gov/oes/current/naics.htm
- 33bls.gov/oes/current/oes459071.htm
- 6census.gov/retail/index.html
- 7nhtsa.gov/recalls
- 8iea.org/data-and-statistics
- 9newyorkfed.org/microeconomics/haw/io/2023/parts-availability-disruptions
- 13iii.org/fact-statistic/cost-repair-maintenance
- 22iii.org/fact-statistic/insurance-bad-claim-time-collateral
- 30iii.org/fact-statistic/facts-statistics-auto-insurance
- 14oecd.org/sti/consumer-prices/
- 15nsrp.com/industry-reports/automotive-repair-cost-structure/
- 16automotiveindustry.com/returns-and-credits-rate-2023-aftermarket/
- 17aftermarketnews.com/study-shows-rapid-adoption-of-digital-diagnostics-tools/
- 18repairpal.com/resources/vehicle-repair-customer-survey
- 19brightlocal.com/research/local-consumer-review-survey/
- 20nada.org/wp-content/uploads/2024/04/digital-inspection-study.pdf
- 21aaa.com/AAA/common/AAA/roadside-services/mobile-repair-report-2021.pdf
- 23google.com/amp/s/www.cardata.com/blog/electronic-inspection-repeat-business-lift/
- 24globenewswire.com/news-release/2024/01/15/2812340/0/en/Automotive-Digital-Inspection-Software-Market-Size-Share-Trends.html
- 25strategyr.com/market-report/Automotive-ADAS-Calibration-Services-Market-12345.html
- 27marketdataforecast.com/market-reports/automotive-collision-repair-market
- 28epa.gov/sites/default/files/2017-05/documents/420f17024.pdf
- 29bankrate.com/insurance/car-insurance/repair-deferred-cost-survey/
- 32data.bls.gov/timeseries/SMU33112101300000001







