T-Shirts - Seychelles

  • Seychelles
  • The T-Shirts market in Seychelles is projected to generate a revenue of US$0.75m units in 2024.
  • This market is expected to experience an annual growth rate of 14.72% (CAGR 2024-2029).
  • When compared globally, in India leads the pack with a revenue of US$2,534m units in 2024.
  • In terms of per capita revenue, each person in Seychelles is estimated to contribute US$6.89 units in 2024.
  • Looking ahead, the volume of the T-Shirts market is predicted to reach 56.9k pieces units by 2029.
  • Specifically in 2025, the segment is expected to witness a volume growth of 0.0% units.
  • Moreover, the average volume per person in the T-Shirts market is projected to be 0.5pieces units in 2024.
  • As a journalist with a deep knowledge about history, facts, and insights, I can provide you with a country-specific statement about current trends in the T-Shirt market in Seychelles: "The T-Shirt market in Seychelles is thriving, with a growing demand for locally inspired designs that showcase the country's stunning natural beauty."

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

 
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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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