AI is transforming the textile recycling industry across the entire chain, from sorting to chemical recycling. According to Kings Research data, the global textile recycling market was valued at $5.55 billion in 2025, is projected to reach $5.9 billion in 2026, and will grow to $9.4 billion by 2033, with a CAGR of 6.89%. Behind this growth is the pressure of 92 million tonnes of textile waste generated globally each year, along with increasingly stringent regulations in regions such as the EU.

Traditional manual sorting can process only about 25 kg per hour, with inconsistent accuracy, whereas AI-driven sorting machines can handle 2 tonnes per hour, with pure fiber identification accuracy exceeding 95%. DataBeyond's Fastsort-Textile equipment was named one of TIME's Best Inventions of 2025, capable of sorting 100 kg of clothing in just two to three minutes—equivalent to four hours of manual work.

Facing complex challenges such as blended fabrics, polyester accounting for 70%, and chemical coatings, AI combined with near-infrared spectroscopy and deep learning can precisely identify fiber composition, while robots can automatically remove non-textile components such as buttons and zippers. In chemical recycling, AI-optimized parameters enable fibers to achieve virgin-grade regeneration quality; for example, Circulose's world-first commercial chemical biological recycling plant in Sweden uses an automated feeding system to improve front-end efficiency.

Among corporate deployment cases, Australian charity Salvos Stores opened the country's first AI textile recycling facility in Ipswich in March 2026, backed by $4.9 million in government funding, with an annual processing capacity of 5,000 tonnes. In the same year, Avery Dennison partnered with TEXAID to pilot digital identities, using the atma.io platform to give garments digital identities in response to the EU's Digital Product Passport (DPP) requirements.

The EU's Ecodesign for Sustainable Products Regulation (ESPR) will require textiles to carry digital passports starting in 2026. This mandatory transparency will provide precise composition data for AI sorting, potentially further unlocking the potential of automation. Europe generated 13.3 million tonnes of post-consumer textile waste in 2025, but only collected and sorted 1.5 million tonnes, revealing a huge recycling gap—and AI is precisely the key lever to narrow it. For facilities processing less than 5,000 tonnes annually, investing in automation still requires careful evaluation of operational scale, but leading companies have already proven with real output that technological investment can yield several times the efficiency improvement.

Source: AI in Textile Recycling | Kings Research · Originally published on 2026-08-17