The global wool sweater industry is at a crossroads driven by data and algorithms. The 95th International Wool Textile Conference signaled a paradigm shift from traditional weaving to intelligent manufacturing, with Dalang, Dongguan—a wool knitting hub with an annual transaction volume exceeding 72 billion yuan—serving as a prime observation window. One in five sweaters worldwide is produced in Dalang, which annually generates over 900 million garments. This scale makes Dalang not just a manufacturing base but a nerve ending of the global wool supply chain, amplifying any technological or market fluctuation.
Concurrently, data disclosed by Sun Ruizhe, President of CNTAC, painted a pressured yet resilient industry picture. From January to April 2025, revenue of large-scale textile enterprises dipped 0.3% year-on-year, yet total profit surged 19.3%, with a profit margin of 2.9%. This 'volume down, profit up' paradox indicates that companies are no longer relying on scale expansion but on product mix upgrades and cost control to squeeze out margins.
The digitalization rate of key industry processes has reached 63.2%, surpassing the national manufacturing average. This figure reflects tangible capacity restructuring. For example, the 'Lighthouse Factory' of Jiangsu Yueda Textile reduced labor per 10,000 spindles by about 70%, boosted labor productivity fourfold, cut energy consumption by 15%, and lowered processing costs by 26%. Semir's AI-assisted design system improved R&D efficiency by 35% and pattern design efficiency by over 200%. These cases show that digitalization is no longer a luxury but a baseline survival capability, especially for wool products with complex processes and high SKU diversity.
Foreign trade data reveals clear structural divergence. In Jan-May 2025, total textile and apparel exports reached $116.73 billion, up just 0.1% year-on-year. However, textile intermediates (mainly fabrics and yarns) rose 1.7% to $59.48 billion, while apparel exports fell 1.6% to $57.24 billion. The resilience of intermediate goods exports suggests that China's textile industry is shifting from finished product exports to semi-finished goods plus technology exports. For the wool industry, this means downstream garment manufacturing is moving to Southeast Asia and South Asia, while China retains control over high-value upstream segments. For clusters like Dalang, this is both a challenge—possible loss of garment orders—and an opportunity—rising demand for high-quality wool yarns.
AI is rewriting cost structures. The global AI market is projected to reach $757.58 billion in 2025, up 18.7% year-on-year. In textiles, AI applications extend beyond design. Bosideng's 'AI Aesthetic Brain' cut sample development costs by over 60%; Anokai built a full-chain ecosystem from dyes to digital printing to AI design. More notably, the concept of 'digital employees' is gaining traction. IDC predicts billions of AI agents will enter the workforce by 2030. This implies a fundamental shift in cost structures: the traditional labor cost share will keep falling, while computing and data governance costs will rise rapidly. Small and medium-sized wool mills that haven't started data assetization risk being excluded from core supply chains within three to five years.
Recommendations
#### For Buyers
- Include supplier digital maturity as a core evaluation metric, prioritizing factories with key process digitalization above 60%.
- Focus on intermediate goods (wool yarn, fabric) suppliers with strong tech capabilities; premium for high-count, functional wool products is expanding.
- Deploy AI-assisted supplier performance management systems that use real-time data rather than annual audits to manage quality and delivery risks.
#### For Foreign Trade Companies
- Adjust product mix by increasing share of high-tech intermediates (e.g., melange yarn, functional fabrics) and reducing reliance on finished garment exports.
- Invest in AI-driven demand forecasting systems to minimize inventory buildup and capacity idling due to order volatility.
- Monitor procurement needs from Southeast Asian garment bases for domestic wool yarns, proactively engaging with relocating downstream capacities.