The value of Chinese brands is undergoing a structural leap. According to the 2026 China's 500 Most Valuable Brands report released by World Brand Lab on June 24, the total value of listed brands reached 45.29 trillion yuan, up 7.76% year-on-year, with the entry threshold rising to 5.089 billion yuan. The textile and apparel industry saw over 30 brands on the list, covering the entire chain from raw material manufacturing to retail, with the number of hundred-billion-level brands expanding to eight. This data sends a clear signal: China's textile industry is moving away from low-cost competition towards a new phase driven by both brand equity and technological innovation.
The Logic Behind the Brand Value Leap
Textile and apparel brands ranked among the top five industries in the overall list, with the leading camp consisting of Erdos, Hengli, Weiqiao, Bosideng, Jinba, Qipai, Anta, and Yueda. These companies share a common characteristic: they have successfully transformed from OEM factories to brand operators, establishing technical barriers or channel advantages in their respective niches. For example, Hengli and Weiqiao cover the entire chain from chemical fiber production to fabric weaving, reducing cost volatility through vertical integration and accumulating sufficient profit margins for brand building.
Notably, this year's evaluation included an AI influence index for the first time. This means brand value is no longer solely determined by consumer perception but also by a brand's visibility and discourse power in the AI ecosystem. For textile enterprises, this change has far-reaching implications. Traditionally, brand competition in the textile industry focused on channel expansion and advertising. But now, as consumers increasingly make purchasing decisions through AI assistants or recommendation algorithms, whether a brand is prioritized by algorithms will directly impact its market share.
Industrial Cluster Reactions and Upstream-Downstream Transmission
From a regional perspective, the listed brands are concentrated in the Yangtze River Delta and Pearl River Delta, which aligns with the maturity of local textile clusters. While companies from textile hubs like Shaoxing Keqiao and Suzhou Shengze did not directly appear on the list, their upstream raw material suppliers such as Rongsheng Petrochemical and Tongkun did. This indicates that brand value enhancement is transmitting from end brands to upstream material suppliers. This transmission mechanism suggests that future profit distribution across the industrial chain will further tilt towards companies with brand premium capabilities.
For small and medium-sized textile enterprises, this is both pressure and direction. Leading companies have achieved higher bargaining power and risk resistance through brand building, while SMEs, facing increasingly thin OEM margins, must consider how to establish brand recognition in niche categories. From sportswear to home textiles, from functional fabrics to underwear, each segment now has leading brands, and the window for latecomers is narrowing.
New Dimensions of Brand Competition in the AI Era
Ding Haisen, CEO of World Executive Group, noted in the report that future brand competition will not only be about occupying consumer mindshare but also about leaving an indelible mark in AI's algorithmic map. This judgment is particularly cautionary for the textile industry. Textile purchasing decisions often involve multiple dimensions such as fabric composition, functional parameters, and price comparison. Consumer search behavior on e-commerce platforms is increasingly guided by algorithms. If a brand fails to achieve high visibility in the AI ecosystem, it may be automatically filtered out by consumers.
Professor Xu Jing from Peking University's Guanghua School of Management further explained this trend: in the digital age, a brand is a complex system maintained by consumers, platforms, algorithms, content, and communities. For textile enterprises, this means brand management cannot stop at advertising. It also requires investment in digital content creation, e-commerce data analysis, and AI tool adaptation. Companies that have already taken the lead in digitalization, such as Anta and Li-Ning, have seen significantly faster brand value growth than their peers, which is no coincidence.