Socks - Indonesia

  • Indonesia
  • The Socks market in Indonesia generated a revenue of US$139.30m in 2024.
  • It is projected to experience an annual growth rate of 5.39% (CAGR 2024-2029).
  • When compared globally, in China leads in terms of revenue with a staggering US$3,136m in 2024.
  • On a per capita basis, each person in Indonesia contributed US$0.50 in revenue in 2024.
  • Looking ahead, the volume in the Socks market is expected to reach 68.2m pieces by 2029.
  • In 2025, the segment is forecasted to grow by 0.9% in volume.
  • Furthermore, the average volume per person in the Socks market is projected to be 0.2pieces in 2024.
  • Indonesia is witnessing a surge in demand for colorful and patterned socks, as fashion-conscious consumers seek to add a pop of personality to their outfits.

Key regions: Singapore, Europe, Malaysia, United States, Australia

 
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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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