Market Insights Consumer Apparel Men's Apparel

T-Shirts - G7

In 2024, the T-Shirts market in G7 is projected to generate a revenue of US$16.38bn.
It is anticipated that this market will experience an annual growth rate of 2.20% from 2024 to 2029 (CAGR 2024-2029).
Comparatively, in China is the leading contributor to the global revenue, with an estimated revenue of US$5,920m in 2024.
In terms of per capita revenue, the T-Shirts market is expected to generate US$20.91 per person in 2024.
Looking ahead, the volume in the T-Shirts market is projected to reach 1.8bn pieces units by 2029.
Additionally, there is an expected volume growth of 1.7% in 2025.
Lastly, the average volume per person in the T-Shirts market is anticipated to be 2.1pieces units in 2024.
In the United States, the trend for T-shirts is shifting towards eco-friendly and sustainable materials, reflecting a growing concern for the environment.

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.