Key Takeaways
- The U.S. auto care industry generated $71.5 billion in revenue from parts and components in 2022, marking a 4.2% increase from the previous year.
- Global automotive aftermarket size was valued at USD 384.76 billion in 2023 and is projected to reach USD 550.12 billion by 2030, growing at a CAGR of 5.2%.
- The North American automotive aftermarket is expected to grow from $270.9 billion in 2023 to $381.2 billion by 2032 at a CAGR of 3.9%.
- 72% of U.S. vehicle owners performed at least one DIY maintenance task in 2023.
- 68% of millennials prefer independent repair shops over dealerships for routine maintenance.
- Average annual spending per U.S. vehicle owner on maintenance and repairs was $1,243 in 2022.
- Tire segment accounted for 28% of U.S. aftermarket sales in 2022, totaling $20.1 billion.
- Brake parts represented 15.3% of aftermarket revenue at $10.9 billion in 2022.
- Battery sales in the U.S. aftermarket reached $4.2 billion in 2022, up 6.8%.
- The auto care industry employs over 4.7 million people in the U.S. as of 2023.
- Independent repair shops number 168,000 in the U.S., employing 1.2 million workers.
- Auto parts manufacturing supports 4.1 million jobs nationwide in 2022.
- 45% of aftermarket products now incorporate ADAS technology as of 2023.
- EV aftermarket parts market expected to grow at 25% CAGR to 2030.
- 62% of repair shops adopted diagnostic software in the last two years.
The auto care industry is thriving globally with strong growth and widespread DIY participation.
Consumer Trends & Behavior
Consumer Trends & Behavior Interpretation
Employment & Economic Impact
Employment & Economic Impact Interpretation
Market Size & Growth
Market Size & Growth Interpretation
Product & Service Segments
Product & Service Segments Interpretation
Technology & Sustainability
Technology & Sustainability 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.
Nathan Caldwell. (2026, February 13). Auto Care Industry Statistics. Gitnux. https://gitnux.org/auto-care-industry-statistics
Nathan Caldwell. "Auto Care Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/auto-care-industry-statistics.
Nathan Caldwell. 2026. "Auto Care Industry Statistics." Gitnux. https://gitnux.org/auto-care-industry-statistics.
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