Key Takeaways
- The U.S. auto repair industry generated $71.6 billion in revenue in 2023
- Global automotive aftermarket size reached $438.5 billion in 2022
- U.S. auto repair shops numbered over 160,000 in 2023
- Average U.S. shop profit margin 8-10%
- Labor costs account for 50% of shop expenses
- Parts markup averages 40-60% in independent shops
- U.S. auto repair employment 780,000 in 2023
- Automotive technicians median wage $47,770 annually
- 15% technician shortage projected by 2027
- 72 million registered vehicles in U.S. 2023
- Average vehicle age 12.5 years in 2023
- 285 million vehicles in operation U.S.
- Annual repair probability 25% per vehicle
- Brake repairs top service at 25% of visits
- Oil changes 40% of all shop visits
The auto repair industry is a large, growing, and fragmented global market dominated by independent shops.
Financial Performance
Financial Performance Interpretation
Industry Trends
Industry Trends Interpretation
Market Overview
Market Overview Interpretation
Repair Trends
Repair Trends Interpretation
Vehicle Ownership
Vehicle Ownership Interpretation
Workforce Statistics
Workforce Statistics 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.
Daniel Varga. (2026, February 13). Auto Repair Industry Statistics. Gitnux. https://gitnux.org/auto-repair-industry-statistics
Daniel Varga. "Auto Repair Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/auto-repair-industry-statistics.
Daniel Varga. 2026. "Auto Repair Industry Statistics." Gitnux. https://gitnux.org/auto-repair-industry-statistics.
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