Socks - Indonesia

  • Indonesia
  • The revenue generated in the Socks market in Indonesia amounts to €63.48m in 2024.
  • It is projected that the market will experience an annual growth rate of 4.91% (CAGR 2024-2029).
  • When comparing globally, in China generates the highest revenue in the Socks market, with €951m in 2024.
  • In terms of per capita revenue, in Indonesia generates €0.23 per person in 2024.
  • By 2029, the volume in the Socks market is expected to reach 46.8m pieces.
  • However, there is a slight decline of -0.4% in volume growth forecasted for 2025.
  • On average, each person in Indonesia is expected to consume 0.2pieces units of socks in 2024.
  • Indonesia's sock market is experiencing a surge in demand for traditional batik patterned socks, reflecting the country's rich cultural heritage.

Key regions: Europe, India, Philippines, Indonesia, United States

 
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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.

Visión general

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