Trousers - Singapore

  • Singapore
  • Singapore's revenue in the Trousers market is projected to reach US$240.80m by 2024.
  • This market is expected to grow at an annual rate of 3.64% (CAGR 2024-2029).
  • In comparison to other countries, in the United States generates the highest revenue in this segment, with US$30,050m in 2024.
  • When considering the population, the per person revenue in Singapore's Trousers market is estimated to be US$39.78 in 2024.
  • By 2029, the volume in the Trousers market is expected to reach 11.1m pieces.
  • However, there is a projected volume decrease of -1.9% in 2025.
  • On average, each person in Singapore is expected to contribute 2.0pieces in volume to the Trousers market in 2024.
  • Singaporeans in the trousers market demand high-quality, lightweight fabrics due to the country's humid climate.

Key regions: India, Philippines, Singapore, Europe, Germany

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