One out of every five sweaters worldwide comes from Dalang, Dongguan. This wool-knitting town, with an annual transaction volume exceeding 72 billion yuan, hosted the 95th International Wool Textile Conference in late June. The core message was clear: the wool industry is shifting from classic manufacturing to a fusion of intelligence and experience, with China's supply chain stability and innovation becoming a global anchor.
Digital Penetration Reshapes Manufacturing Logic
Data disclosed at the conference is worth attention across the supply chain. R&D investment intensity among China's textile enterprises above designated size rose from 1% in 2020 to 1.3% in 2024, with digitalization rates in key processes reaching 63.2%, higher than the national manufacturing average. This means the competitive barrier in wool textiles is shifting from scale to data and algorithmic advantages.
Take Jiangsu Yueda Textile's 'Lighthouse Factory' as an example. Through intelligent manufacturing, labor per 10,000 spindles decreased by approximately 70%, total labor productivity increased more than fourfold, unit energy consumption dropped by 15%, and processing costs fell by 26%. This efficiency leap is not an isolated case. AI-assisted design systems at Semir boosted overall design efficiency by 35% and pattern design efficiency by over 200%. Bosideng's 'AI Aesthetics Brain' reduced sample development costs by more than 60%.
For buyers, this signals a significant shift: the traditional model relying on manual sampling and long development cycles is being disrupted. In the future, suppliers capable of rapid AI design iteration and flexible production will hold an absolute advantage in order competition.
Consumption Divergence Forces Supply Chain Restructuring
Consumer stratification is reshaping the value chain of wool products. The conference highlighted that health, emotional connection, and self-expression are core demands, with social media accelerating information generation and dissemination, making consumer decisions increasingly intelligent. This means the strategy of relying solely on cost-effectiveness is no longer viable; brands and factories need the ability to quickly respond to niche markets.
Dalang's industrial cluster effect is particularly crucial in this context. With a total annual transaction volume of over 72 billion yuan and annual garment output exceeding 900 million pieces, this scale enables local enterprises to rapidly convert designs into products through collaborative innovation. For example, Anuoqi's ecosystem of 'dye → ink → digital printing → AI design → IP cultural creativity' exemplifies the integration of upstream raw materials with downstream creative services.
For foreign trade companies, this change means transitioning from an order-taking manufacturer to a comprehensive service provider offering 'design + flexible manufacturing + data feedback.' Pure price advantage is no longer sufficient to sustain long-term orders. Only factories that can help brands predict trends and shorten time-to-market can qualify as core suppliers.
Dual Constraints of Green and Intelligent
The conference also emphasized the improvement of the green manufacturing system. Advanced technologies like non-aqueous dyeing and digital printing are being accelerated. This is not only an environmental requirement but also a path to cost structure optimization. Data shows that overall resource utilization efficiency has improved, and pollution control levels have been continuously enhanced.
Meanwhile, the energy demands of the intelligent economy cannot be ignored. Global data center electricity demand is expected to grow by 175% from 2023 to 2030. The deep coupling of 'energy, computing power, data, and manufacturing' is reshaping industry comparative advantages. Wool enterprises will need to balance computing investment with energy costs, potentially giving rise to new industrial clusters—manufacturing bases located near green energy sources and data centers.