One in every five sweaters worldwide comes from Dalang, Dongguan, a town that produces over 900 million garments annually with a total industrial chain transaction value exceeding 72 billion yuan. These figures, repeatedly highlighted at the 95th International Wool Textile Conference on June 24, are not just a testament to scale but point to a core shift: China's wool industry is transitioning from a 'manufacturing hub' to an 'innovation cradle.'
The Deep Logic of Industrial Digitalization
The clearest signal from the conference is that competitiveness in the wool industry no longer solely relies on labor costs or economies of scale, but is pivoting toward efficiency revolutions driven by data and intelligence. Public data from the China National Textile and Apparel Council shows that R&D investment intensity among large-scale enterprises has risen from 1.0% at the end of the 13th Five-Year Plan to 1.3% in 2024, while the digitalization rate of key industry links has reached 63.2%, surpassing the national manufacturing average. This indicates that investments in smart upgrades are rapidly translating into tangible returns.
A 'Lighthouse Factory' in Jiangsu provides concrete evidence: through smart manufacturing, its labor cost per 10,000 spindles has dropped by about 70%, overall labor productivity has increased more than fourfold, unit energy consumption has fallen by 15%, and processing costs have decreased by 26%. These data points demonstrate that digitalization is not an embellishment but a core tool for restructuring cost bases. For buyers, this means future supplier selection criteria will shift from 'lowest price' to 'optimal efficiency.'
From Natural Fiber to Intelligent Carrier
The conference theme, 'Intelligent Weaving the Future: Wool's Health and Digital Life,' is not an empty slogan. When natural wool meets digital technology, substantial changes are underway. AI-assisted design systems have boosted pattern design efficiency by over 200%, while AI-aided prototyping has reduced sample development costs by more than 60%. These technologies are reshaping product development cycles and customization capabilities.
More significantly, the industrial ecosystem is being reconfigured. Some companies are now building complete chains from dyes to digital printing to AI design and IP-driven cultural creativity, transforming process parameters, production data, and market feedback into manageable, scalable data assets. This deep coupling of 'energy, computing power, data, and manufacturing' is altering cost structures and comparative advantages. For foreign trade companies, this means the traditional model of large-batch, standardized orders is giving way to flexible supply chains capable of small batches, multiple runs, and fast responses.
China's Variable in the Global Supply Chain
Despite a complex external environment, China's textile industry has shown resilience. From January to April 2025, profits of large-scale enterprises surged 19.3% year-on-year, with an operating profit margin of 2.9%. During the same period, retail sales of clothing, shoes, hats, and knitwear at units above a designated size grew 8.1%. These figures suggest that domestic demand is becoming a crucial stabilizer for the industry.
However, challenges are evident. Fixed asset investment in the chemical fiber sector fell 14.5% year-on-year, and garment exports dropped 1.6%. This indicates that while maintaining scale advantages, China's wool industry must climb the value chain amid global capacity relocation. The case of Dalang proves that industrial clustering and open cooperation remain effective strategies against uncertainty.