From $81.95 billion in 2023, the global cotton yarn market is projected to grow at a CAGR of 4.1 per cent to reach $113.05 billion by 2031, as per a report by the SNS Insider.
Driven by the rising demand for natural fibers, growth in the global cotton yarn market is also fueled by rising consumer preferences. Expansion of the end-use industries such as garments and home textiles is another factor driving the growth in the global cotton industry. In FY24, exports of cotton yarn, fabric and handloom products increased by 7 per cent to $11.7 billion.
The apparel segment is expected to dominate growth of the cotton yarn market during the forecast period. The Asia Pacific region will emerge as a dominant, propelled by the rapid expansion of the textile industry. This growth will be predominantly fueled by key nations including India, China, Japan, and Southeast Asia.
In addition to it being a lightweight and breathable material, cotton is also ideal for summer clothing and accessories as it offers comfort and a pleasant feel against the skin. Growth in this market is being further propelled by the material’sincreasing use in downstream industries and heightened consumer awareness of the quality and suitability of pure cotton yarn. Adoption of technological advancements is another notable trend in the cotton yarn market with leading companies continuously developing new technologies to maintain their market position.
Besides integrating automation and robotics into the cotton yarn production process, leading cotton producers are also implementing advanced online monitoring and control systems to ensure consistent yarn quality and to identify production issues in real time. These systems help monitor parameters like yarn tension, twist, hairiness, and evenness, enabling necessary adjustments to optimise the spinning process.
Additionally, the increasing adoption of computer-aided design (CAD) systems in the design and development of cotton yarns is fuelling market growth. These systems allow yarn of different structures to be simulated, yarn properties to be optimised on specific requirements.
