Key Takeaways
- 1.7% of cycling riders in the U.S. are casual riders who ride at least once per year
- The Bicycle Industry labor market is served by NAICS 451110 (Sporting Goods Stores), which had 259,000 employees in 2023 in the U.S.
- U.S. bicycle manufacturing establishments employed 76,400 workers in 2023 under NAICS 336991 (Motor Vehicle Seating and Interior Trim Manufacturing, Other)
- The NAICS 811490 (Other Personal and Household Goods Repair and Maintenance) includes bicycle repair; establishments grew 1.9% from 2022 to 2023 in the U.S.
- The global bike helmet market is projected to reach $2.5 billion by 2027
- The global e-bike market reached $32.7 billion in 2023
- The global bicycle market is projected to reach $41.0 billion by 2027, up from $24.0 billion in 2019 (CAGR ~7%)
- The global bicycle industry is projected to grow to $47.5 billion by 2030 (from $63.2 billion in 2022 per the report’s base)
- The U.S. market for bicycles and parts reached $10.2 billion in 2023
- In 2023, the CPSC recorded 12 bicycle helmet recalls
- A 2019 systematic review found helmets reduce the risk of head injury by 69%
- A 2006 case-control study reported helmet use was associated with an 85% reduction in head injury risk
- Bicyclist fatalities rose 10% from 2021 to 2022 according to NHTSA
- The U.S. Bicycle Safety Education Program (NHTSA) estimates that correct helmet use can prevent 70% of head injuries
- Sram’s AXS wireless systems reduce setup time by up to 50% in service/installation compared with cable routing (company claim in product docs)
From sales growth to safety gains, e-bikes and helmets are reshaping U.S. cycling faster than ever.
Related reading
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Labor & Employment Interpretation
Industry Trends
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Market Size
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Recall & Safety
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Policy & Safety
Policy & Safety Interpretation
Performance Metrics
Performance Metrics Interpretation
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User Adoption
User Adoption Interpretation
Safety & Risk
Safety & Risk Interpretation
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Infrastructure & Policy
Infrastructure & Policy Interpretation
Work & Performance
Work & Performance 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.
Isabelle Moreau. (2026, February 13). HR In The Bicycle Industry Statistics. Gitnux. https://gitnux.org/hr-in-the-bicycle-industry-statistics
Isabelle Moreau. "HR In The Bicycle Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hr-in-the-bicycle-industry-statistics.
Isabelle Moreau. 2026. "HR In The Bicycle Industry Statistics." Gitnux. https://gitnux.org/hr-in-the-bicycle-industry-statistics.
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