T-Shirts - China

  • China
  • In 2024, the revenue in the T-Shirts market in China is estimated to be US$5.92bn.
  • The market is projected to experience an annual growth rate of 4.25% from 2024 to 2029 (CAGR 2024-2029).
  • When compared to other countries worldwide, in China generates the highest revenue in the T-Shirts market, reaching US$5.92bn in 2024.
  • In terms of per capita figures, each individual in China is expected to generate US$4.13 in revenue in 2024.
  • Looking ahead, it is anticipated that the volume in the T-Shirts market will reach 0.6bn pieces units by 2029.
  • Furthermore, there is an estimated volume growth rate of 1.2% units in 2025.
  • The average volume per person in the T-Shirts market is projected to be 0.4pieces units in 2024.
  • Despite being a global manufacturing powerhouse, China is experiencing a surge in demand for domestically designed and branded t-shirts, showcasing a growing sense of national pride and support for local fashion.

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

 
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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.

Overview

  • Revenue
  • Volume
  • Key Players
  • Price
  • Sales Channels
  • Global Comparison
  • Methodology
  • Key Market Indicators
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