Textile and Apparel Brands Value Surge: From OEM Labels to the Hundred-Billion Club Driven by Four Engines

The textile and apparel industry is undergoing a silent value reassessment. According to the latest 2026 'China 500 Most Valuable Brands' report, over 30 textile and apparel brands made the list, with eight—including Erdos, Hengli, Weiqiao, Bosideng, Jinba, Qipai, Anta, and Yueda—entering the hundred-billion yuan club. The entry threshold has risen to 5.089 billion yuan, and the number of brands exceeding 100 billion yuan expanded to 146, signaling a clear shift from low-cost OEM to high-value branding.

The Logic Behind Brand Value Growth

The data reveals a critical industry signal: China's textile and apparel sector is no longer the world's low-cost workshop. The total brand value on this year's list reached 45.29 trillion yuan, up 7.76% year-on-year, outperforming most traditional manufacturing industries. The textile and apparel segment's eight seats in the hundred-billion club indicate a transition from 'manufacturing scale advantage' to 'brand premium capability.'

More notably, the World Brand Lab incorporated AI influence index into its evaluation for the first time. This means brands must now establish voice not only in consumer minds but also in algorithmic ecosystems. Professor Xu Jing from Peking University's Guanghua School of Management noted that in the digital intelligence era, a brand is a complex system co-maintained by consumers, platforms, algorithms, content, communities, and organizational capabilities. For textile and apparel companies, this demands new competencies—not just making clothes, but also mastering data.

Four Driving Forces Reshaping the Industry

From the list structure, the industry has formed four clear driving paths. First, technological innovation: companies like Hengli, Rongsheng Petrochemical, and Tongkun have built technical barriers through continuous investment in functional fabrics and high-performance fibers. Second, cultural empowerment: brands like Bosideng, Jinba, and Qipai have transformed traditional culture into brand assets through national trend collaborations and intangible heritage techniques. Third, green and low-carbon: Erdos and Weiqiao promote full life-cycle carbon footprint management in cashmere and cotton spinning, meeting global supply chain ESG requirements. Fourth, global operations: Anta, Li-Ning, and 361° are breaking through single-market ceilings through overseas event sponsorships and cross-border channel expansion.

AI Ecosystem: The New Competitive Frontier

World Executive Group CEO Ding Haisen's insight is worth industry reflection: future brand competition is no longer just about seizing consumer mindshare but about engraving an indelible mark in AI's algorithmic landscape. For textile and apparel brands, traditional brand-building methods like advertising and store displays are being redefined. When consumers search for 'winter thermal fabrics' via AI assistants, a brand's visibility in the AI ecosystem directly influences purchase decisions. High AI influence not only means greater discourse power and online reach but also signifies that the brand has successfully crossed the barrier of traditional search engines.

From a practical standpoint, textile and apparel companies need a 'dual-track brand strategy': one track focuses on traditional product quality, channel coverage, and consumer experience; the other on content structuring, semantic optimization, and algorithm adaptation within the AI ecosystem. The latter is a new challenge for most manufacturing-oriented companies.

Practical Recommendations

For Buyers - Focus on the technology investment and ESG reports of hundred-billion-yuan brands, and prioritize suppliers with high AI visibility, as this often indicates superior digital management. - Use brand value as an auxiliary supplier evaluation metric, especially for companies that have consistently ranked high over multiple years, as they tend to offer more stable supply chains and stronger innovation. - Remain open to small and medium brands but require clear brand-building roadmaps to avoid market promotion hurdles due to weak brand power.

For Foreign Trade Enterprises - Highlight brand value rankings and AI influence data in overseas marketing materials to strengthen negotiation leverage with international buyers. - Accelerate the deployment of AI-driven digital marketing systems, including multilingual semantic optimization, AI customer service, and cross-border platform algorithm adaptation. - Use cultural empowerment cases from the brand list to develop differentiated product lines with Chinese cultural identity, countering price competition from low-cost regions like Southeast Asia and South Asia.