When one out of every five sweaters globally comes from Dalang, a small town in Dongguan, Guangdong, its annual garment output exceeds 900 million pieces, and the total supply chain transaction value surpasses RMB 72 billion. The 95th International Wool Textile Organization (IWTO) Congress was held here, signaling that China's wool industry cluster is shifting from scale advantages to technology, brand, and ecosystem strengths. However, industry data is not uniformly positive. From January to April 2025, revenue of large-scale textile enterprises fell 0.3% year-on-year, while net profit rose 19.3%, pushing the operating profit margin to 2.9%. This contrast indicates a structural adjustment toward 'volume reduction with profit increase,' where companies rely on efficiency and product premium rather than sheer scale.

Investment Divergence: Chemical Fiber vs. Apparel

From January to May 2025, fixed-asset investment in the textile sector grew 10.8%, but apparel and chemical fiber sectors declined 10.3% and 14.5%, respectively. This divergence demands attention across the supply chain. Textile investment is driven by smart manufacturing and green tech upgrades, such as water-free dyeing and digital printing. Apparel investment shrinkage reflects cautious consumer sentiment, despite an 8.1% retail growth in apparel. Chemical fiber investment collapse correlates with global oil price volatility and weak downstream demand. For wool enterprises, this means potential supply tightening upstream and more refined inventory management downstream.

Smart Economy: From '10,000 Spindle Workers' to 'Digital Employees'

The congress theme 'Smart Weaving the Future' is substantive. China's textile industry digitalization rate has reached 63.2%, above the national manufacturing average. AI is rewriting cost structures. Yueda Textile's 'Lighthouse Factory' reduced labor per 10,000 spindles by 70%, boosted labor productivity fourfold, cut energy consumption by 15%, and lowered processing costs by 26%. Bosideng's 'AI Aesthetic Brain' reduced sample development costs by over 60%. Semir's AI design system improved R&D efficiency by 35% and pattern design efficiency by over 200%. These cases show that the smart economy merges 'hand-made economy' with industrial automation. In the first half of 2025, new individual business registrations in China grew 47% year-on-year, making one-person companies and flexible manufacturing units new organizational forms for the wool industry.

Experience Economy: Consumer Segmentation Forces Supply Chain Restructuring

The global consumer market is showing ecological restructuring, human-centric return, and structural differentiation. Consumers no longer settle for 'one sweater for three years'; they seek health functions (e.g., wool's natural antibacterial properties), emotional connection (e.g., national trend designs), and instant gratification (e.g., 48-hour custom delivery). Social media and AI recommendation algorithms are changing product discovery paths. Dalang's wool enterprises, once reliant on wholesale markets and trade fairs, now must directly address C-end consumer aesthetics. This requires the supply chain to shift from 'high volume, low margin' to 'fast response, high value-added.' Anoky's ecosystem of 'dyes → inks → digital printing → AI design → IP cultural creativity' exemplifies this trend.

Practical Recommendations

For Buyers - Monitor chemical fiber raw material price volatility and increase wool procurement proportion to hedge against supply risks from falling chemical fiber investment. - Prioritize suppliers with digitalized key processes (e.g., AI quality inspection, smart scheduling) for better delivery reliability. - Include 'design response speed' in supplier evaluation. Factories offering AI-assisted design can shorten R&D cycles by over 30%.

For Foreign Trade Enterprises - Adjust export product mix: From Jan-May 2025, textile exports rose 1.7% while apparel exports fell 1.6%. Promote wool fabrics and semi-finished products overseas due to their stronger export resilience. - Deploy 'digital showrooms' and 'virtual sample rooms' using 3D modeling and AI virtual try-on to reduce overseas client sampling costs and shorten decision cycles. - Tap into rising demand from developing countries, especially Southeast Asia and the Middle East, for mid-to-high-end wool products.

资料来源:纺织服装周刊查看原始资料
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