Key Takeaways
- The fashion industry is responsible for 10% of global carbon emissions, more than international flights and maritime shipping combined.
- Over 85% of textiles end up in landfills or incinerators each year, totaling 92 million tons of waste globally.
- Textile dyeing is the world's second largest polluter of clean water after agriculture, consuming 20% of global industrial wastewater.
- Global sustainable fashion market valued at USD 6.28 billion in 2020, projected to reach USD 15.17 billion by 2030 at 9.7% CAGR.
- Sustainable apparel market expected to grow from USD 7.8 billion in 2021 to USD 33.05 billion by 2030 at 17.5% CAGR.
- Ethical fashion market size was USD 6.5 billion in 2022, forecasted to USD 15 billion by 2030 at 11.1% CAGR.
- 75 million people employed in fashion's global supply chain, mostly low-wage.
- 80% of garment workers are women earning less than USD 3 per day.
- Over 100 workers killed in Bangladesh garment factories since 2020 due to unsafe conditions.
- 52% of consumers prefer sustainable brands, up from 34% in 2017.
- 78% of consumers say sustainability is important in purchases.
- 62% willing to change habits for environment, 67% for sustainability.
- Circulose recycled fibre used in 1 million garments by 2023.
- 100% recycled polyester bottles used: 19 billion since 2011 by one brand.
- Waterless dyeing tech saves 95% water, adopted by 50 factories.
The fashion industry is a massive polluter, but sustainable alternatives are growing rapidly.
Consumer Behavior
Consumer Behavior Interpretation
Economic Aspects
Economic Aspects Interpretation
Environmental Impact
Environmental Impact Interpretation
Industry Innovations
Industry Innovations 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.
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.
Lars Eriksen. (2026, February 13). Sustainable Fashion Statistics. Gitnux. https://gitnux.org/sustainable-fashion-statistics
Lars Eriksen. "Sustainable Fashion Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sustainable-fashion-statistics.
Lars Eriksen. 2026. "Sustainable Fashion Statistics." Gitnux. https://gitnux.org/sustainable-fashion-statistics.
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