The bar for brand value is rising. According to the latest 2026 China 500 Most Valuable Brands report released on June 24, the entry threshold has climbed to 5.089 billion yuan, with the number of billion-yuan brands expanding to 146. The textile and apparel sector contributed over 30 brands, covering the entire value chain from raw materials to finished garments, with 8 brands—including Erdos, Hengli, and Weiqiao—crossing the 100-billion-yuan threshold. The message is clear: the industry is shedding its low-cost OEM past, and brand equity is now a core metric of competitiveness.
Structural Divergence in Brand Value
The total brand value of the 500 listed companies reached 45.29 trillion yuan, up 7.76% year-on-year, outpacing GDP growth and signaling rising premium capacity. More notable is the threshold jump from around 4.7 billion yuan last year to 5.089 billion, indicating an accelerated elimination game. For textile and apparel firms, this means pure OEM manufacturers without brand premiums will face further erosion of bargaining power in capital markets and channel negotiations.
From a category perspective, listed brands show clear polarization. On one end, upstream giants like Hengli, Weiqiao, and Rongsheng Petrochemical dominate with scale and vertical integration. On the other, consumer-facing brands like Bosideng, Anta, and Li-Ning leverage innovation and marketing. Middle-tier brands such as Yalu, Beijirong, and Shuixing face intense competition for market share.
A pivotal development this year is the inclusion of an AI influence index in the evaluation framework. According to World Brand Lab, AI influence reflects a brand's discourse power, communication reach, and technological visibility within the AI ecosystem. This means brands are no longer just symbols in consumer minds but nodes in algorithmic networks. For textiles and apparel—an industry where consumer decisions often hinge on search and recommendations—AI is becoming the new gatekeeper of traffic.
How AI Influence Reshapes Industry Rules
Professor Xu Jing of Peking University's Guanghua School of Management offers a compelling perspective: in the digital age, a brand is a complex system sustained by consumers, platforms, algorithms, content, communities, and organizational capabilities. Brands must answer not just 'Who am I?' but 'Why should I be trusted?' and 'Why am I relevant to you?'
For textile enterprises, this means brand building cannot rely solely on advertising and channel distribution. When consumers ask an AI assistant for 'warm winter down jackets' or 'breathable sport fabrics,' a brand's presence in AI recommendations depends on its visibility in the algorithmic ecosystem. Companies must structure product descriptions, technical specifications, user reviews, and social media content for machine readability.
A direct industrial impact: small and medium-sized fabric companies in clusters like Keqiao, Shengze, and Nantong, which still rely on traditional offline relationships, will find it increasingly hard to be discovered by emerging smart procurement systems. Those that have invested in digital catalogs and e-commerce data platforms may gain disproportionate exposure in AI recommendations.
Industrial Cluster Reactions to Billion-Yuan Brands
The billion-yuan textile and apparel brands—Erdos, Hengli, Weiqiao—share common traits: deep industry chains and high technical barriers. Erdos leverages its cashmere raw material advantage to build a complete chain from pasture to retail; Hengli and Weiqiao command global leading capacities in chemical fiber and cotton spinning. Their brand value largely stems from upstream resource control and scale cost advantages.
But the introduction of AI influence poses new challenges for these manufacturing giants. Brand value is no longer determined solely by factory size and revenue; it requires building recognition in the digital ecosystem. For example, if Hengli's R&D breakthroughs in polyester new materials are not accurately surfaced in AI searches as 'high-performance fabric solutions,' competitors with stronger algorithmic marketing may seize the advantage.
For sportswear brands like Anta, Li-Ning, and 361°, AI influence directly impacts young consumers' purchasing decisions. These brands' content density, keyword coverage, and user interaction data on social media and e-commerce platforms affect AI recommendation rankings. Therefore, brand departments must collaborate more closely with IT and data teams to translate brand narratives into algorithm-friendly semantic networks.