One out of every five sweaters in the world is made in Dalang, Dongguan. This small town on the eastern bank of the Pearl River, with an annual garment output exceeding 900 million pieces and a total industry chain transaction value surpassing RMB 72 billion, has become an indispensable coordinate in the global wool textile industry.

When the 95th International Wool Textile Conference was held here, with the theme 'Smart Weaving the Future: Wool Health and Digital Life,' the world saw not just an industry gathering, but a model of how a traditional industrial cluster can redefine 'certainty' through digitalization and green technology.

The Scale Effect of Industrial Clustering

Dalang's rise is no accident. From the initial processing of imported materials in the early days of reform and opening-up to today's complete closed loop spanning yarn R&D, weaving, dyeing and finishing, and brand marketing, the industrial density of this small town is unmatched in the global wool sector.

According to data from the China National Textile and Apparel Council, the country produces over 70 billion garments annually, with fiber processing volume stable at over 60 million tons—both accounting for more than half of the global total. Dalang, as a specialized wool knitting town, contributes 20% of the world's sweater output, meaning that one in every five sweaters in the global supply chain relies on its manufacturing capacity.

This clustering effect yields more than just scale cost advantages. When external market volatility intensifies, Dalang's full-chain synergy—where the average cycle from raw material procurement to finished product delivery is shortened by over 30% compared to decentralized supply chains—becomes the most valued 'ballast' for brands and retailers.

Technological Iteration Reshapes Production Logic

The wool textile industry is undergoing a deep transformation from labor-intensive to technology-intensive. Intelligent upgrading is no longer just the icing on the cake but a necessity for survival.

Industry public data shows that the digitalization rate of key processes in China's textile sector has reached 63.2%, higher than the national manufacturing average. In the wool field, AI-based quality inspection systems can improve defect detection rates to over 99.5%, and intelligent scheduling systems increase on-time delivery rates by 20 percentage points. The direct result: labor usage per 10,000 spindles drops by about 70%, unit energy consumption decreases by 15%, and processing costs fall by 26%.

For buyers, this means significantly improved delivery stability and quality consistency for the same order volume. The 'touch' that once relied on manual experience is being replaced by data-driven standard processes—a critical leap from 'manufacturing' to 'smart manufacturing' for China's wool industry.

Value Migration Driven by Consumption

The conference's parallel emphasis on 'health' and 'digital life' reflects structural changes in the consumer market. Wool, as a natural fiber, is regaining a premium space in the wave of sustainable consumption.

Retail sales of garments, shoes, hats, and knitwear by units above the designated size in China grew by 8.1% year-on-year, with the wool category growing faster than the average. Consumers are willing to pay more for 'traceable wool sources,' 'low-carbon dyeing processes,' and 'personalized customization,' forcing upstream value reconstruction in the industry chain.

Leading companies in the Dalang cluster have begun deploying 'raw material traceability systems' and 'AI-assisted design platforms.' The former makes the origin, processing techniques, and carbon emission data of each sweater transparent and verifiable; the latter enables small-batch, multi-style flexible production. The combination of these two capabilities is pushing the wool industry from 'selling fabric by the ton' to 'selling solutions by the piece.'

An Industry Anchor Amid Global Change

The IMF has lowered its global economic growth forecast for 2026 to 3.1%, with geopolitical conflicts and shipping disruptions continuously roiling supply chains. In this environment, the stable output of China's textile industry has become a scarce resource in the global market.

From January to May 2025, China's textile and apparel exports reached USD 116.73 billion, with textile exports growing 1.7% year-on-year. Although apparel exports dipped slightly by 1.6%, the strong growth in intermediate goods (fabrics, yarns) indicates that China is shifting from 'finished product export' to 'capability export'—providing semi-finished goods and technical solutions to overseas brands and factories.

Wool textile enterprises in Dalang are playing a key role in this trend. They are not just sweater manufacturers but the 'technology hub' of the global wool supply chain, offering complete solutions from yarn formulation and dyeing processes to pattern design. This role upgrade gives Dalang stronger bargaining power and resilience against industry fluctuations.

Practical Recommendations

For Buyers - Prioritize factories that have implemented digital quality inspection and intelligent scheduling to significantly reduce risks of delivery delays and quality fluctuations. - Focus on suppliers with 'raw material traceability' capabilities—they offer higher premium potential and compliance assurance in the mid-to-high-end market. - Include 'flexible delivery' clauses in order contracts to leverage Dalang's cluster responsiveness for sudden changes in end-market demand.

For Foreign Trade Enterprises - Package AI-assisted design as a value-added service in quotations to increase order acquisition rates by 15%-20%. - Prioritize developing 'low-carbon wool' categories—EU regulations on product carbon footprints are tightening, and early positioning can help avoid trade barriers. - Leverage Dalang's cluster advantages to offer 'one-stop' wool solutions by partnering with multiple factories, shifting from single-point supply to systematic services to enhance customer stickiness.

资料来源:纺织服装周刊查看原始资料
⚙
Manage your textile business with Jenny ERP
Sample · Order · Customer · Inventory · Production tracking — built for fabric mills and trading companies.
Try Free