Shirts & Blouses - Central & Western Europe

  • Central & Western Europe
  • In Central & Western Europe, the revenue generated in the Shirts & Blouses market is projected to reach US$3.46bn in 2024.
  • According to market forecasts, the segment is anticipated to grow annually by 1.68%, representing a compound annual growth rate (CAGR) from 2024 to 2029.
  • When compared on a global scale, in the United States leads in terms of revenue generation, with an estimated amount of US$3,704m in 2024.
  • In relation to the total population figures, the per person revenue in the Shirts & Blouses market is expected to be US$10.31 in 2024.
  • Looking ahead, the volume of the Shirts & Blouses market is projected to reach 0.5bn pieces units by 2029.
  • In 2025, a volume growth of 0.4% is expected.
  • On average, each person is expected to purchase 1.4pieces units in the Shirts & Blouses market in 2024.
  • In Germany, there is a growing demand for sustainable and eco-friendly shirts and blouses in response to increasing awareness of environmental issues.

Key regions: Germany, Malaysia, Australia, Indonesia, Philippines

 
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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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