One out of every five sweaters globally is produced in Dalang, a small town in Guangdong that churns out over 900 million garments annually, with a total industrial chain transaction value exceeding 72 billion yuan. At the recently concluded 95th International Wool Conference, these figures were frequently cited, but what deserves more attention is the fundamental shift in the underlying logic sustaining this scale: the wool industry is accelerating from traditional processing manufacturing toward a new paradigm driven by both intelligence and experience.
Structural Changes Behind the Data
Public data from the China National Textile and Apparel Council shows that from January to April this year, revenue of textile enterprises above designated size edged down 0.3% year-on-year, but total profit surged 19.3%, with a profit margin of 2.9%. This contrast clearly indicates that industry growth no longer relies on scale expansion but on efficiency gains and value addition. During the same period, retail sales of garments, shoes, hats, and knitwear by units above designated size totaled 512.13 billion yuan, up 8.1% year-on-year, signaling a clear consumption recovery.
Investment data further confirm the direction of structural adjustment. From January to May, fixed asset investment in the textile industry grew 10.8% year-on-year, while investment in the garment and chemical fiber sectors fell 10.3% and 14.5%, respectively. This means capital is concentrating in upstream segments like fabric manufacturing and intelligent spinning, while downstream garment processing faces capacity consolidation. For buyers, a supplier's digital capability will become a more critical screening criterion than price.
How the Intelligent Economy Reshapes Wool Industry Rules
The conference's core takeaway is that artificial intelligence is no longer just a supporting tool but is becoming an industry infrastructure. Industry data shows that the digitalization rate of key processes in China's textile enterprises has reached 63.2%, above the national manufacturing average. In 2024, 30 textile companies were included in the 5G factory list, and green technologies like non-aqueous dyeing and digital printing are accelerating adoption.
A typical case is Jiangsu Yueda Textile's 'Lighthouse Factory' – through intelligent manufacturing transformation, labor per 10,000 spindles decreased by about 70%, total labor productivity increased more than fourfold, unit energy consumption dropped 15%, and processing costs fell 26%. This means that in the wool sector, digitalization is no longer a 'nice-to-have' but a matter of survival in the cost red ocean.
More profound is the reconstruction of factor combinations. When tokens become a new production factor, and when 'energy-computing-data-manufacturing' are deeply coupled, a company's competitive barrier shifts from equipment scale to data asset governance capability. Companies like Anuoqi have begun building full-chain ecosystems from 'dye to ink to digital printing to AI design to IP cultural creativity,' redefining the boundaries of traditional wool mills.
Consumption-Side Changes Force Supply-Side Upgrades
The global consumer market is undergoing ecological restructuring. Consumers are increasingly segmented, with health, emotional connection, and self-expression becoming core demands. The speed of social media information dissemination has fully intelligentized product discovery, comparison, and decision-making. The wool industry must shift from 'I produce what you buy' to 'I produce what you experience.'
Dalang, as an industry sample, with its 'one in five sweaters from Dalang' label, relies on a flexible supply chain capable of handling quick-response orders. When AI-assisted design systems can improve pattern design efficiency by over 200% and reduce sample development costs by over 60%, the small-batch, multi-variety, short-lead-time order model has the technical foundation for large-scale implementation.
Meanwhile, export data reveals external pressure. From January to May, total textile and apparel exports reached $116.73 billion, up only 0.1% year-on-year. Textile exports (fabrics, yarns) were $59.48 billion, up 1.7%, while apparel exports were $57.24 billion, down 1.6%. This indicates that intermediate goods have stronger export resilience than finished garments, and global supply chains are adjusting toward a 'near-shoring' model, strengthening China's role as a fabric supply hub.