Textiles & Apparel Trade Data: Find Garment Buyers in 2026

In the first two months of 2026, China's apparel exports to the United States collapsed 57.65% — from $2.77 billion to $1.17 billion — the steepest two-month drop on record. For the first time ever, Bangladesh overtook China in the US apparel market. The order book of global garment sourcing is being rewritten in real time, and every t-shirt, denim jacket, and bedsheet that stops shipping from one country has to be re-sourced from another.

That reshuffle is the single biggest opportunity Indian and Asian textile exporters have seen in a decade. But you can't win an order you can't see. The buyers placing those orders — the importers of cotton fabric, knitwear, terry towels, and readymade garments — leave a paper trail in global shipment records. This guide shows how to read that trail and turn it into a buyer list.

The numbers behind the 2026 reshuffle

India's textile and apparel exports rose 6.32% to a record $36.606 billion in FY2024-25, with apparel up 10.03% to $15.99 billion and textiles up 3.61% to $20.62 billion. That keeps India the 6th-largest exporter with a 3.9% share of the roughly $700-billion global textile-and-clothing trade — third behind China and the EU on raw textiles.

The basket is concentrated. In the FY26 year-to-date data, readymade garments account for 45% (US$14.53B), cotton textiles 29% (US$9.36B), and man-made textiles 15% (US$4.82B). So when a brand re-sources a denim or knitwear program, or a US retailer swaps a bedsheet vendor, India sits in the addressable lane for nearly half the demand — and cotton-yarn and cotton-fabric mills sit in the next third.

The destinations matter just as much as the products. The USA, EU and UK together pulled $20.7 billion of India's textile-and-apparel exports in FY25 — the US alone took $10.94 billion (a 28.97% share), the EU $7.6 billion, and the UK $2.16 billion. The USA and EU combined are roughly 47% of the basket. If you sell t-shirts, home textiles, or made-ups, that is where your next buyer almost certainly sits.

Why the tariff math is moving orders right now

The February 2026 tariff landscape is the catalyst. China's effective US apparel rate now runs near 34% (MFN 16.5% + Section 301 7.5% + Section 122 10%), while a Supreme Court ruling on Feb 20 cut Vietnam from 46% to 10% and Bangladesh from 37% to 10%. India sits at 18%. The result already shows in the data: China's US apparel exports fell 57.65% in Jan-Feb 2026 and Bangladesh overtook China in the US apparel market for the first time.

For an importer, a 24-point tariff gap on a million-unit knitwear program is not a rounding error — it is the entire margin. That is why sourcing managers are actively re-vendoring, and why their shipment records are changing month to month.

Bangladesh remains the giant — $8.20 billion of RMG to the US in 2025, up 11.75%, on a global apparel total of roughly $38.8 billion. But its LDC graduation in 2026 (EU duty-free benefits only run to 2029) and its dependence on imported cotton fabric give Indian cotton-yarn, denim, and woven-fabric suppliers a structural opening upstream. Vietnam, meanwhile, is winning the synthetic and polyester-yarn–heavy programs. The point for any exporter: the demand is in motion, and motion is where new accounts get won.

From shipment records to a real buyer list

Macro trends don't pay invoices — named buyers do. This is where global trade data turns strategy into a call list. ShipScout indexes 11 billion-plus shipment records across 240+ countries from bill-of-lading and import-export filings, so an exporter can see exactly which companies abroad are importing the products they make — and at what volume, from which competitors, and how often.

Here's the workflow we'd run for a textile exporter:

• Find buyers by HS code. Pull every importer under your product's HS heading — e.g. 6109 (t-shirts), 5208 (cotton woven fabric), 5205 (cotton yarn), 6302 (bed linen and terry towels), or 5703 (tufted carpets). One search returns the universe of companies actually buying that product, not a stale directory. Start from the company database.
• Rank importers by volume. Sort that list by shipment count or weight so you talk to the buyers who move container loads of bedsheets or knitwear first — not the one-off boutique that orders twice a year.
• Vet suppliers and partners. Sourcing fabric or grey cloth? Run the same data in reverse to check a mill's real export history before you wire a deposit — see who they actually ship to and how consistently.
• Track competitors. Watch which buyers your rivals ship to, spot when a long-standing China or Bangladesh vendor relationship goes quiet, and pitch the account the moment it's in play.

Because the data spans every major market, you can target by geography too: line up US retailers importing home textiles, EU brands sourcing knitwear, or scan Bangladesh's importers of cotton fabric and polyester yarn to feed their RMG factories — the upstream demand that India's mills are best placed to capture. The same lens works for woollen garments, silk, technical textiles, and synthetic made-ups: pick the HS code, rank the buyers, start the outreach.

None of this requires guessing. It requires reading the trail that 11 billion shipments already left behind — and getting to the buyer before your competitor does.