Key Takeaways
- In 2023, 65% of U.S. consumers spent over $500 on vehicle repairs annually.
- Average annual repair and maintenance cost per U.S. vehicle reached $1,472 in 2023.
- 42% of U.S. drivers delayed repairs in 2023 due to high costs averaging $650 per visit.
- U.S. auto repair industry employed 1.1 million people in 2023, with 4.2% job growth.
- Average hourly wage for U.S. auto technicians was $25.67 in 2023.
- 73,000 new jobs added in U.S. car repair sector from 2022-2023.
- In 2023, the U.S. automotive repair and maintenance industry generated $68.5 billion in revenue, marking a 4.2% increase from 2022 driven by rising vehicle age and mileage.
- Globally, the car repair market was valued at $803.2 billion in 2022 and is projected to reach $1,057.4 billion by 2030, growing at a CAGR of 3.6%.
- U.S. auto repair shops numbered 168,000 in 2023, with an average revenue per shop of $408,000.
- In California, 35% of repairs were EV-related in 2023.
- Rural U.S. areas had 2.8 repair visits/vehicle vs 1.9 urban in 2023.
- Baby boomers accounted for 41% of repair spending in 2023 U.S.
- ADAS calibration repairs surged 45% in 2023.
- 42% of U.S. shops equipped with EV charging diagnostics by 2023 end.
- AI diagnostic tools adopted by 31% of shops in 2023.
With costs rising and a technician shortage, many U.S. drivers delay repairs despite widespread brake, tire, and EV needs.
Related reading
Consumer Spending and Costs
Consumer Spending and Costs Interpretation
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Employment and Labor
Employment and Labor Interpretation
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Market Size and Revenue
Market Size and Revenue Interpretation
Regional and Demographic Insights
Regional and Demographic Insights Interpretation
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Technological and Future Projections
Technological and Future Projections Interpretation
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Vehicle Repair Trends
Vehicle Repair Trends 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.
Thomas Lindqvist. (2026, February 13). Car Repair Industry Statistics. Gitnux. https://gitnux.org/car-repair-industry-statistics
Thomas Lindqvist. "Car Repair Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/car-repair-industry-statistics.
Thomas Lindqvist. 2026. "Car Repair Industry Statistics." Gitnux. https://gitnux.org/car-repair-industry-statistics.
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