Fabrics: warp knit (including those made on galloon knitting machines), other than those of headings 60.01 to 60.04, of cotton, yarns of different colours

In 2024, fabrics: warp knit (including those made on galloon knitting machines), other than those of headings 60.01 to 60.04, of cotton, yarns of different colours trade exhibited strong growth, with global flows reaching $12,403,060 and a three-year compound annual growth rate of +29.7% (five-year: +4.2%). The all-time peak of $65,438,744 was recorded in 2000; the current level is 81% below that high-water mark.

Over the 30-year observation window (1995–2024), 52% of years recorded positive growth, indicating a mildly upward trajectory with periodic contractions. Trend momentum is strengthening (+36.5% acceleration).

The supply side is concentrated (Herfindahl-Hirschman Index 0.311). The three largest exporters — South Korea ($9.3M), China ($6.9M), and Türkiye ($3.2M) — collectively dominate supply flows. The leading exporter has grown at +28.4% over the last three years.

On the demand side, importer concentration is moderately concentrated (HHI 0.171). The three largest import markets are Saudi Arabia ($3.3M), Vietnam ($2.8M), and Bulgaria ($2.4M). The largest importing market sources from 1 different supplying countries.

Estimated substitution elasticity: -4.90. Buyers have moderate flexibility to shift sourcing, but face some switching costs.

The dominant trade corridor is South Korea → Honduras at $4.9M, representing 99.3% of the importer's total demand.

The volatility score for fabrics: warp knit (including those made on galloon knitting machines), other than those of headings 60.01 to 60.04, of cotton, yarns of different colours is 33 out of 100, classified as low. Trade flows are moderately variable, typical for goods with seasonal or cyclical demand patterns.

For market entrants, strong demand tailwinds create a favourable entry environment. The concentrated supply structure suggests high barriers but also potential opportunity if dominant suppliers face disruption or capacity constraints.

Data confidence is rated "High" based on reporting coverage and consistency across OECD member and partner countries.