Jerseys, Sweatshirts & Pullovers - Singapore

  • Singapore
  • The Jerseys, Sweatshirts & Pullovers market in Singapore generated a revenue of €38.10m in 2024.
  • It is projected to experience an annual growth rate of 2.35% (CAGR 2024-2029).
  • When compared to the global market, in the United States leads with a revenue of €4,778m in 2024.
  • Considering the total population, the per person revenue in Singapore's Jerseys, Sweatshirts & Pullovers market amounts to €6.30 in 2024.
  • Looking ahead, the volume in this segment is expected to reach 10.0m pieces by 2029.
  • However, there is a slight volume decline of -2.8% expected in 2025.
  • On average, each person in Singapore is predicted to contribute to a volume of 1.9pieces in the Jerseys, Sweatshirts & Pullovers market in 2024.
  • The demand for high-quality, lightweight jerseys and sweatshirts is on the rise in Singapore, driven by the country's warm climate and active lifestyle.

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

 
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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