The textile and apparel industry is undergoing a significant revaluation. In the latest 2026 China 500 Most Valuable Brands list, over 30 textile and apparel brands were included, with a total brand value of 45.29 trillion yuan, up 7.76% year-on-year. Among them, eight brands—including Erdos, Hengli, and Weiqiao—have reached the hundred-billion level, signaling a shift from a fragmented to a concentrated brand landscape. This data reflects a substantive breakthrough from an OEM-driven industry to a brand matrix, marking a definitive departure from the low-cost manufacturing label.
Three Key Drivers of Brand Value Growth
The entry threshold has risen to 5.089 billion yuan, and the number of top-tier brands at the hundred-billion level has expanded to 146, indicating a continuous increase in the overall value of Chinese brands. For the textile and apparel industry, this trend is particularly pronounced. Over the past five years, the industry has undergone a full-chain brand upgrade from raw material manufacturing and garment production to sportswear and home textiles. Upstream companies like Hengli and Weiqiao have leveraged vertical integration to transform raw material advantages into brand premiums, while end-consumer brands like Bosideng and Anta have built differentiated consumer perceptions through technological innovation and cultural empowerment.
This year, the list incorporated an AI influence index for the first time, meaning brand value is no longer determined solely by traditional recognition. Brands with higher influence in the AI ecosystem are more likely to gain advantages in algorithmic recommendations, thereby shortening consumer decision-making paths. For textile and apparel companies, this is not just an upgrade of technological tools but a transformation of brand governance—brands need to shift from 'telling consumers who I am' to 'making AI understand why I deserve to be recommended.'
Industrial Impact of the Hundred-Billion Brand Cluster
The formation of a hundred-billion brand cluster has had a tangible transmission effect on the upstream and downstream industrial chain. For example, Erdos's brand value growth has directly enhanced the pricing power of Inner Mongolia's cashmere industry, strengthening the bargaining power of upstream farms and processing links. The hundred-billion status of Hengli and Weiqiao has further consolidated scale advantages in chemical fibers and cotton textiles, prompting downstream weaving and dyeing plants to prefer standardized, brand-name suppliers over pure low-cost options.
Meanwhile, the rise of sportswear and home textile brands is reshaping the end-consumption structure. The global expansion of brands like Anta and Li-Ning is driving the transformation of China's supply chain from 'OEM export' to 'brand going global.' For foreign trade companies, this means that the growth space for relying solely on OEM orders is narrowing, while opportunities to undertake brand OEM or participate in brand co-branding are increasing. However, this also imposes higher requirements on factories in terms of flexible production, rapid response, and environmental certification.
New Rules of Brand Competition in the AI Era
The AI influence index introduced by the World Brand Lab this year essentially redefines a brand's digital survival capabilities. Professor Xu Jing from Peking University's Guanghua School of Management pointed out that in the digital intelligence era, a brand is a complex system maintained by consumers, platforms, algorithms, content, communities, and organizational capabilities. For textile and apparel companies, this means brand management needs to shift from traditional advertising and channel deployment to content ecosystem building and data asset operations.
A concrete example is that brands with high engagement rates and high content output on social media and e-commerce platforms often score higher on the AI influence index. This explains why new consumer brands like Pop Mart and Beneunder have quickly made the list, while some traditional home textile brands face growth bottlenecks. In the future, brand competition will no longer be confined to consumer minds but will extend to 'visibility' competition within algorithmic recommendation systems.
