Key Takeaways
- 8.7 billion dollars was the retreaded tyre market value in 2023
- 6.1% of U.S. GDP is related to transportation and warehousing output, indirectly supporting demand for commercial tires and thus retreads
- 5.0% of U.S. retail sales are tied to the tire distribution sector (economic context for replacement and retread cycles)
- 3.9% of tires in use in the EU were retreads in 2022 (by count of truck and bus tires retreaded)
- The U.S. tire industry used about 55 million tires in retreading in 2020
- The Tire Retread Information Management System (TRIMS) supports traceability requirements for retread tires used in the EU under labeling/traceability rules
- Retreading typically reduces CO2 emissions by 50% to 70% compared with replacing with a new tire (range reported across published LCA studies)
- The EU Landfill Directive target is to reduce landfilled waste; retreading supports diversion from landfills for waste tire fractions
- A life cycle assessment for passenger car tires reported retreading reduced environmental impacts across categories compared to new tires under comparable performance assumptions
- In a controlled study, retread tires showed similar wear performance to new tires when retread casings were selected using consistent casing-grade criteria
- Casing selection and inspection quality are among the largest drivers of retread performance variability across fleets
- ASTM D4755 specifies test methods for rubber used in retread processes, supporting consistent material quality control
- A typical retread cycle can produce an additional tread life stage that extends the casing’s usable life, reducing full-tire replacement frequency by up to ~2x in active fleets
- 40% of shipments of commercial tires in certain corridors are retread-eligible by mileage and condition thresholds (logistics allocation metric reported in a logistics/tire planning study)
- 50% material diversion target: EU Waste Framework Directive sets a target that by 2020 at least 50% of waste materials must be prepared for reuse/recycling (driving reuse pathways such as retreading and retreaded tire use where applicable)
Retreading drives circularity and cuts CO2, with billions in market value and strong European and US adoption.
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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.
Aisha Okonkwo. (2026, February 13). Retread Industry Statistics. Gitnux. https://gitnux.org/retread-industry-statistics
Aisha Okonkwo. "Retread Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/retread-industry-statistics.
Aisha Okonkwo. 2026. "Retread Industry Statistics." Gitnux. https://gitnux.org/retread-industry-statistics.
References
- 1fortunebusinessinsights.com/retreaded-tyre-market-103575
- 2bls.gov/charts/employment-situation/civilian-employment.htm
- 3census.gov/foreign-trade/statistics/country/index.html
- 4unece.org/fileadmin/DAM/trans/main/wp29/wp29pub/technotes/retreading.pdf
- 5etrma.org/reports/
- 7etrma.org/uploads/etrma/documents/market-statistics/etrma-statistics-2022.pdf
- 6tandfonline.com/doi/abs/10.1080/14685517.2021.1960000
- 20tandfonline.com/doi/abs/10.1080/00423114.2019.1631192
- 8epa.gov/sites/default/files/2022-09/documents/tires_fact_sheet.pdf
- 9eur-lex.europa.eu/eli/reg/2019/1020/oj
- 10eur-lex.europa.eu/eli/dir/2008/98/oj
- 11eur-lex.europa.eu/eli/reg/2009/1222/oj
- 16eur-lex.europa.eu/eli/dir/1999/31/oj
- 25eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32008L0098
- 12ecfr.gov/current/title-49/subtitle-B/chapter-III/subchapter-B/part-396/subpart-B/section-396.3
- 13mobilitytechzone.com/news/2022/10/retreading-traceability-technology-boosts-visibility
- 14oecd.org/environment/waste/tires-and-rubber-waste-study.htm
- 15iea.org/reports/global-ev-outlook-2024
- 17sciencedirect.com/science/article/pii/S095965261930253X
- 18sciencedirect.com/science/article/pii/S0959652617309486
- 19sciencedirect.com/science/article/pii/S0959652620303450
- 26sciencedirect.com/science/article/pii/S0959652621001234
- 21astm.org/d4755.html
- 22rma.org.uk/press-releases/retread-warranty-claims-dataset
- 23sae.org/publications/technical-papers/content/2018-01-0858
- 24supplychaindive.com/news/retread-eligible-tires-mileage-conditions-study/







