A wool knitting cluster with an annual transaction value of 72 billion RMB is reshaping the value distribution of global wool supply chains. Data released at the 95th International Wool Textile Conference in Dalang, Dongguan, reveals that this southern Chinese town produces over 900 million garments annually, meaning one out of every five sweaters worldwide originates here. This figure underscores the 'scale and system advantages' of China's textile industry, as emphasized by the China National Textile and Apparel Council.
The Scale Effect of Industrial Clustering
Dalang's rise is no accident. Sun Ruizhe, President of the China National Textile and Apparel Council, noted in his keynote speech that China's textile industry produces over 70 billion garments annually and processes over 60 million tons of fiber, accounting for more than 50% of the global total. When these macro figures are applied to the wool textile segment, Dalang's 72 billion RMB transaction value is no longer an isolated local economic statistic but a microcosm of the competitiveness of China's entire textile supply chain.
From a supply chain perspective, Dalang's clustering effect reduces transaction costs and logistics losses for upstream and downstream companies. Yarn, accessories, design, dyeing, and garment processing are all completed within a few square kilometers, creating a high-density collaboration that can cut order response times to less than half of traditional models. For global brand sourcing teams, this means shorter lead times and greater flexibility for small-batch customization.
Smart Manufacturing: From Cost Advantage to Efficiency Advantage
The conference theme 'Intelligent Weaving of the Future' is not just a slogan. Industry data shows that the digitalization rate of key processes across China's textile sector has reached 63.2%, higher than the national manufacturing average. In the wool textile field, intelligent hanging systems, AI visual inspection, and digital twin technologies have begun to be implemented in leading factories. The 'Lighthouse Factory' case cited by Sun Ruizhe—Jiangsu Yueda Textile—shows a 70% reduction in labor per 10,000 spindles, a 15% decrease in unit energy consumption, and a 26% drop in processing costs. These figures provide quantifiable benchmarks for the smart transformation of the wool textile industry.
For an industrial cluster like Dalang, the challenge of smart transformation lies in the technical upgrade capabilities of numerous small and medium-sized enterprises. However, the synergy within the cluster is taking effect: the demonstration effect and technology spillover from leading companies are gradually raising the automation baseline of the entire cluster. It is estimated that within the next three years, the smart manufacturing coverage rate of wool knitting factories in Dalang could rise from the current 30% to over 50%, further solidifying its position as a core global production base for woolen goods.
Global Branding and Supply Chain Resilience
Sun Ruizhe specifically highlighted the upgraded 'going global' strategy of Chinese textile enterprises. Companies like Anta and Erdos are moving from pure OEM manufacturing to brand operation and upstream value chain expansion through cross-border M&A and global capacity deployment. The implication for the wool textile industry is clear: manufacturing scale alone is no longer a moat; brand premium and channel control are becoming new competitive dimensions.
Meanwhile, the volatility of global supply chains is also forcing industrial upgrades. The IMF has lowered its 2026 global economic growth forecast to 3.1%, and factors such as geopolitical conflicts and shipping disruptions make 'certainty' a scarce resource. The fact that China's textile industry has maintained exports of over $300 billion for six consecutive years precisely demonstrates the 'ballast stone' role of clusters like Dalang in stabilizing global supply. For international buyers, choosing Chinese suppliers with digital capabilities and brand integration is shifting from a cost consideration to a strategic risk management decision.