One out of every five sweaters worldwide is made in Dalang, Dongguan. Behind this statistic lies an industrial cluster with an annual transaction value exceeding 72 billion yuan, now undergoing a critical transition from scale-driven to intelligence-driven growth. The choice of Dalang as the venue for the 95th International Wool Conference sends a clear signal: China's wool industry is no longer a simple manufacturing base but is becoming a new coordinate in the global supply chain restructuring.
The Dalang Effect: Data Truths Behind Cluster Resilience
Dalang's annual output of 900 million garments and 72 billion yuan in total industrial chain transactions are not mere numbers. They signify that among numerous textile clusters in the Yangtze River Delta and Pearl River Delta, Dalang has achieved a complete closed loop from raw materials, yarn, design, weaving, finishing to logistics, all centered on wool knitting. This deeply specialized cluster model demonstrates strong resilience amid global trade fluctuations. When order cycles shorten and small-batch, fast-replenishment becomes the norm, Dalang's 'one town, one specialty' ecosystem perfectly matches this flexible demand.
Latest data from the China National Textile and Apparel Council (CNTAC) shows that from January to April 2024, revenue of textile enterprises above designated size decreased by 0.3% year-on-year, but total profit surged by 19.3%. This contrast indicates a structural adjustment of 'volume decline, price increase': low value-added orders are being squeezed out, while high value-added, fast-response, customized products are capturing profit increments. For the wool category, this means the traditional large-batch pre-season ordering model is collapsing, replaced by a new rhythm of on-demand production and multi-wave replenishment.
Intelligent Economy: A Paradigm Shift from 'Loom' to 'Computing Power'
The conference theme 'Intelligent Weaving the Future: Wool Health and Digital Life' is not a hollow slogan. A set of data disclosed by CNTAC deserves attention: the digitalization rate of key links across the entire industry has reached 63.2%, higher than the national manufacturing average; in 2024, 30 textile enterprises were listed in the 5G factory directory. For the wool industry, the landing scenarios of intelligence are upgrading from 'machine replacing labor' to 'data-driven'.
Take Jiangsu Yueda Textile's 'Lighthouse Factory' as an example: the number of workers per 10,000 spindles has been reduced by about 70%, overall labor productivity has increased more than fourfold, unit energy consumption has dropped by 15%, and processing costs have fallen by 26%. The implication for wool enterprises is clear: intelligence is not about showboating, but about preserving profit margins under the dual pressures of rising labor costs and tightening energy consumption targets. More notably, AI is entering the design phase—Sennir's AI-assisted design system has increased R&D efficiency by 35% and pattern design efficiency by over 200%. Wool product patterns, color matching, and structural design are precisely the areas where AI excels in pattern recognition and generation.
Another easily overlooked trend is the rise of 'one-person companies.' In the first half of 2025, the number of newly registered individual businesses in China increased by 47% year-on-year. For the wool industry, this means a growing number of independent designers and small studios are becoming new procurement units. They do not need orders of tens of thousands of meters, but they require extremely fast sampling responses and flexible minimum order quantities. This is precisely the weakness of traditional wool factories and the opportunity for flexible production lines after intelligent transformation.
Experience Economy: Consumption Stratification Forces Supply Chain Restructuring
The global consumer market is undergoing triple changes: 'ecological reconstruction, human-centric return, and structural divergence.' For the wool category, this means consumers are no longer satisfied with the basic function of 'keeping warm' but seek touch, sustainability, cultural narrative, and personalized expression. The advantage of the Dalang industrial cluster lies in its ability to offer both high cost-performance basic styles and the capacity to handle small-batch, multi-variety, high-quality orders.
A key data point: from January to May 2024, China's textile exports increased by 1.7% year-on-year, but garment exports decreased by 1.6%. The underlying logic is that the growth in exports of intermediate products like fabrics and yarns indicates that global brands are dispersing garment manufacturing to regions closer to end markets, but core supply of fabrics and yarns still relies on China. For wool enterprises, this means rather than competing for garment orders, it is more strategic to build barriers in yarn R&D and fabric innovation—for example, developing high value-added products like machine-washable wool, antibacterial wool, and biodegradable blended yarns.