Market Insights Consumer Apparel Men's Apparel

T-Shirts - Europe

Europe

In 2024, the T-Shirts market in Europe is projected to generate a revenue of US$14.51bn.
This market is anticipated to experience an annual growth rate of 2.06% between 2024 and 2029 (CAGR 2024-2029).
When compared globally, the highest revenue is expected to be generated in China, amounting to US$5,920m in 2024.
Looking at the per capita figures, it is estimated that each person in Europe will contribute US$17.16 to the T-Shirts market's revenue in 2024.
By 2029, the volume of the T-Shirts market is projected to reach 1.4bn pieces units.
Additionally, a growth rate of 0.5% is expected in 2025.
Furthermore, the average volume per person in the T-Shirts market is forecasted to be 1.6pieces units in 2024.
In France, the trend for T-shirts is leaning towards minimalist designs with a focus on high-quality fabrics.

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

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.