Market Insights Consumer Apparel Women's Apparel

Tights & Leggings - Myanmar

Myanmar

In 2024, the revenue in the Tights & Leggings market in Myanmar amounts to US$11.93m.
This market is projected to grow annually by 2.01% (CAGR 2024-2029).
When compared globally, in Italy generates the highest revenue in this segment, with US$1,663m in 2024.
Taking into account the total population figures, per person revenues of US$0.22 are generated in 2024.
By 2029, the volume in the Tights & Leggings market is expected to reach 24.8m pieces.
Furthermore, this segment is anticipated to show a volume growth of 7.0% in 2025.
The average volume per person in the Tights & Leggings market is expected to be 0.3pieces in 2024.
Myanmar's tights & leggings market is experiencing a surge in demand due to the increasing popularity of traditional Burmese attire.

Key regions: Germany, Australia, India, Europe, Indonesia

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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.