Market Insights Consumer Apparel Women's Apparel

Jerseys, Sweatshirts & Pullovers - China

China

The Jerseys, Sweatshirts & Pullovers market in China is projected to generate a revenue of US$22.24bn in 2024.
It is anticipated that the market will experience an annual growth rate of 3.28% (CAGR 2024-2029).
When compared to other countries globally, in the United States leads in revenue generation, reaching US$26,420m in 2024.
In terms of per capita figures, each person in China is expected to contribute US$15.52 to the revenue in 2024.
Looking ahead, the volume of the Jerseys, Sweatshirts & Pullovers market is estimated to reach 0.8bn pieces by 2029.
However, there is a slight decline projected for 2025, with a volume growth rate of -0.3%.
On average, each person in China is expected to account for a volume of 0.6pieces in the Jerseys, Sweatshirts & Pullovers market in 2024.
China's demand for high-quality jerseys, sweatshirts, and pullovers is surging, driven by a growing middle class and increasing interest in Western fashion.

Key regions: Australia, Germany, United States, Philippines, Indonesia

Market

Region

Region comparison

Currency

Methodology

Data coverage:

Data encompasses B2C enterprises. Figures are based on the consumer spending on clothing which comprises women, men, and children segments that are produced for private end customers for both offline retail (department stores, traditional specialist shops) and online retail (e-commerce, ordering by catalog).

Modeling approach / Market size:

Market sizes are determined by a combined Top-Down and Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use resources from the Statista platform, national statistics, industry research, market data from independent databases and third-party sources, historical developments, current trends, reported performance indicators from the key market players, and Statista interviews with market experts. Next we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, consumer price index and population. This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, the exponential trend smoothing illustrates suited forecasting for the Apparel market with projected steady growth. The main drivers are GDP per capita and consumer spending per capita.

Additional Notes :

The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level.