One in every five sweaters worldwide comes from Dalang, a small town in Dongguan, Guangdong, which produces over 900 million garments annually and generates a total industrial chain transaction value exceeding RMB 72 billion. However, behind these impressive numbers, China's wool textile industry is undergoing a difficult transition from scale-driven to efficiency-driven growth.
The 95th International Wool Textile Conference, themed 'Smart Weaving the Future: Wool's Health and Digital Life', was held in Dalang. Against a backdrop of slightly declining revenue but rising profits, the conference served as a collective diagnosis: as natural fibers meet digital technology, the growth logic of the wool textile industry is being rewritten.
Structural Divergence Under Industry Pressure
Data from the China National Textile and Apparel Council shows that from January to April, revenue of large-scale enterprises fell by 0.3% year-on-year, while total profit rose by 19.3%, pushing the profit margin to 2.9%. This 'revenue down, profit up' divergence suggests companies are squeezing margins through product upgrades and cost control.
Investment patterns show even sharper divergence: fixed asset investment in the textile sector grew 10.8%, while the garment and chemical fiber sectors fell by 10.3% and 14.5%, respectively. Capital is accelerating toward fabric and manufacturing segments, while downstream apparel and upstream chemical fiber face capacity consolidation. For buyers, this means supply concentration in fabrics will increase, while bargaining power in garment processing may continue to weaken.
Export structures are also adjusting. In the first five months, textile exports grew by 1.7%, while garment exports fell by 1.6%. The resilience of intermediate goods exports indicates that China's textile industry is shifting from 'finished product export' to 'semi-finished product plus technology export'. The role of China as a node in the global supply chain is not weakening, only evolving.
Digital Transformation: From Labor Reduction to Redefining Costs
A key signal from the conference is that digitization is no longer optional but a necessity for survival. The case of Jiangsu Yueda Textile's 'Lighthouse Factory' provides a benchmark: spindle employment reduced by about 70%, total labor productivity increased more than fourfold, unit energy consumption dropped by 15%, and processing costs fell by 26%. This set of metrics directly answers the industry's question of why profits can rise while revenue falls.
Even more noteworthy is AI's penetration into design. Semir's AI-assisted design system boosts R&D efficiency by 35% and pattern design efficiency by over 200%; Bosideng's 'AI Aesthetic Brain' reduces sample development costs by over 60%. When design costs and cycles are significantly compressed, the response speed of quick-response supply chains will move from 'weekly' to 'daily'.
For small and medium factories, full-scale smart manufacturing implementation is not realistic. However, partial digital upgrades—such as AI inspection, intelligent scheduling, and energy monitoring—can yield quick results. Industry data shows that the digitization rate of key processes across the sector has reached 63.2%, above the manufacturing average, providing infrastructure for phased implementation.
Green Manufacturing: The Business Case for Non-Aqueous Dyeing and Digital Printing
Environmental compliance costs are rising annually, but green technologies are shifting from 'cost items' to 'competitive advantages'. The accelerated adoption of non-aqueous dyeing and digital printing is rewriting the energy and emission profiles of the wool industry.
Digital printing offers zero water consumption and minimal effluent, while supporting small-batch, multi-pattern flexible production. For export-oriented wool enterprises, European and American buyers are increasingly scrutinizing supply chain carbon footprints. Factories with green certifications are more likely to command price premiums. Meanwhile, tightening domestic environmental policies make non-aqueous dyeing a risk-hedging tool for factories.
The case of Anuoqi illustrates another approach: extending from dye production to digital printing ink, AI design, and IP cultural products, building a closed-loop ecosystem of 'dye → ink → digital printing → AI design → IP cultural products'. This vertical integration not only increases value-added but also reduces intermediate losses and inventory risks.