Key Takeaways
- In 2022, Asia consumed 95 million metric tons of yarn, dominating global demand.
- Global apparel consumption required 82 million tons of yarn in 2022.
- China's domestic yarn consumption was 45 million metric tons in 2022.
- Global yarn market size was $92 billion in 2022.
- Yarn market CAGR projected at 4.2% from 2023-2030.
- Polyester yarn market share: 60% of total in 2022.
- In 2022, global yarn production reached approximately 120 million metric tons, with cotton yarn accounting for 25 million metric tons.
- China produced 37.5 million metric tons of yarn in 2022, representing over 31% of global output.
- India's yarn production stood at 8.2 million metric tons in fiscal year 2022-23, up 5% from previous year.
- Cotton yarn has a tenacity of 28-34 cN/tex.
- Polyester yarn elongation at break is 20-30%.
- Wool yarn moisture regain is 13-18% at standard conditions.
- World yarn exports totaled $45.6 billion in 2022.
- China exported 12.3 million tons of yarn worth $18.2 billion in 2022.
- India's yarn exports reached 1.1 million tons valued at $3.8 billion in FY 2022-23.
In 2022, Asia dominated yarn demand and production as global consumption topped 120 million tons.
Consumption
Consumption Interpretation
Market
Market Interpretation
Production
Production Interpretation
Properties
Properties Interpretation
Trade
Trade 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.
Ryan Townsend. (2026, February 13). Yarn Statistics. Gitnux. https://gitnux.org/yarn-statistics
Ryan Townsend. "Yarn Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/yarn-statistics.
Ryan Townsend. 2026. "Yarn Statistics." Gitnux. https://gitnux.org/yarn-statistics.
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