Shirts & Blouses - Asia

  • Asia
  • In 2024, the revenue in the Shirts & Blouses market in Asia amounts to €23.92bn.
  • This market is projected to grow annually by 2.75% (CAGR 2024-2029).
  • When compared globally, in the United States generates the highest revenue, with €9,808m in 2024.
  • In terms of per person revenues, each individual in Asia generates €5.26 in 2024.
  • By 2029, the volume in the Shirts & Blouses market is expected to reach 1.9bn pieces units.
  • Furthermore, there is an estimated volume growth of 1.4% in 2025.
  • The average volume per person in the Shirts & Blouses market is projected to be 0.4pieces units in 2024.
  • In Japan, the trend for shirts and blouses is leaning towards minimalist designs with clean lines and neutral colors.

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

 
Marché
 
Région
 
Comparaison de régions
 
Monnaie
 

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.

Vue d’ensemble

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