The question of whether Europe can replace the United States as India’s largest apparel export market has gained urgency following a 9.5 percent decline in India’s readymade garment (RMG) exports to the US during fiscal 2025-26. This downturn occurred amid uncertainty regarding reciprocal tariffs and ongoing concerns over market concentration. Although Europe has delivered encouraging growth across various major destinations, data from the Directorate General of Commercial Intelligence and Statistics (DGCI&S) suggests that replacing the US will require far more than incremental gains in individual markets.
The global textile industry is entering the second half of 2026 facing a formidable challenge, as it navigates a "perfect storm" arising from two converging risks: tightening cotton supplies and escalating volatility in petrochemical feedstock prices. For textile manufacturers worldwide, raw material uncertainty has emerged as the defining hurdle, proving to be a far more significant issue than mere cost increases. Unlike past market cycles where manufacturers could mitigate rising cotton prices by switching to polyester or vice versa, the current environment presents a much more complex scenario as both supply chains are experiencing simultaneous stress.
The modern fashion industry, long synonymous with designer creativity and trend intuition, is now facing a seismic shift driven by algorithm-led business models. Shein, a company that has evolved from a regional player into one of the world's largest fashion retailers, consistently asserts that it is not a fashion company using technology, but a technology company that happens to sell clothing. Shein’s success in less than a decade proves that software architecture and data analytics can serve as primary competitive advantages, capable of outperforming traditional methodologies.
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