China's textile industry is reaffirming its role as a stabilizer in the global supply chain, as highlighted by the latest data from the 95th International Wool Textile Conference held in Dalang, Dongguan. The country processes over 60 million tons of fiber annually, produces more than 70 billion garments per year, accounting for over 50% of the global total. Exports have surpassed $300 billion for six consecutive years, with strong shipments of chemical fibers and fabrics providing irreplaceable support to global supply chains. Dalang alone produces one out of every five sweaters worldwide, with an annual garment output of over 900 million pieces and a total industrial chain transaction value exceeding 72 billion yuan.
The Intelligent Economy: From Tool to Paradigm Shift
The key message from the conference is that artificial intelligence is evolving from an auxiliary tool into a fundamental force reshaping industry competitive advantages. The global AI market is projected to reach $757.58 billion in 2025, up 18.7% year-on-year, and exceed $900 billion by 2026. In China, daily token calls have surpassed 140 trillion, a 40% increase from the end of last year. This means 'intelligence' is no longer a concept but a quantifiable productivity factor.
Evidence from production is already emerging. Jiangsu Yueda Textile's 'Lighthouse Factory' has reduced labor per 10,000 spindles by about 70%, increased overall labor productivity fourfold, cut unit energy consumption by 15%, and lowered processing costs by 26%. Semir's AI-assisted design system has boosted overall design efficiency by 35% and pattern design efficiency by over 200%. Bosideng's 'AI Aesthetic Brain' has reduced sample development costs by more than 60%. These figures are not isolated lab results but harbingers of large-scale industry deployment.
Factors and models are also being reshaped. IDC predicts that by 2030, billions of AI agents will enter the workforce as new digital labor. The global humanoid robot market is expected to grow by about 508% in 2025. The deep coupling of energy, computing power, data, and manufacturing is altering corporate cost structures. By 2030, global data center electricity demand will increase by 175% compared to 2023, meaning textile companies' competitiveness will increasingly depend on the efficiency of their computing power and energy matching.
The Experience Economy: Consumer Demand Reshaping the Supply Chain
Parallel to the intelligent economy is the rise of the experience economy. Global consumer markets are characterized by ecological restructuring, a return to human-centric values, and structural differentiation. Consumer segmentation is becoming more pronounced, with health, emotional connection, and self-expression as core demands. Social media accelerates information generation and dissemination, making product discovery, comparison, and decision-making increasingly intelligent. For textile companies, this means that pure cost advantages are no longer sufficient; the shift must be from 'selling products' to 'selling experiences.'
The conference noted that global markets face dual pressures of low growth and high volatility. The IMF has downgraded its 2026 global growth forecast to 3.1%, with geopolitical conflicts, energy fluctuations, and shipping disruptions adding complexity. Against this backdrop, China's textile industry saw a 0.3% year-on-year decline in revenue for large-scale enterprises from January to April, but a 19.3% increase in total profits, with a profit margin of 2.9%, indicating resilience and structural optimization. From January to May, textile and apparel exports reached $116.73 billion, up 0.1% year-on-year. Textile exports alone grew 1.7% to $59.48 billion, while apparel exports fell 1.6%, reflecting the strength of intermediate goods exports versus weak final consumer demand.
Industrial Cluster Response and Regional Synergy
Dalang, as a key wool textile hub, offers a model for regional synergy. Its total industrial chain transaction value of over 72 billion yuan underscores the power of openness and industrial clustering. This model is being replicated in other clusters: improving efficiency through smart manufacturing, increasing value through branding, and reducing environmental costs through green technologies. The accelerated adoption of waterless dyeing and digital printing has improved resource utilization across the industry.
Investment data also signals structural shifts. From January to May, fixed asset investment in the textile sector grew 10.8% year-on-year, while investments in apparel and chemical fibers fell 10.3% and 14.5%, respectively. This indicates capital is concentrating on upstream smart and green technologies, marking a profound transition from volume to value.