Coats & Jackets - Turkmenistan

  • Turkmenistan
  • In 2024, the Coats & Jackets market in Turkmenistan is projected to generate a revenue of US$8.81m.
  • This market is anticipated to grow at an annual rate of 3.83%, as measured by the Compound Annual Growth Rate (CAGR) from 2024 to 2029.
  • When compared globally, the highest revenue in the Coats & Jackets market is expected to be generated in China, reaching US$10,570m in 2024.
  • In terms of per capita revenue, each person in Turkmenistan is estimated to contribute US$1.34 to the Coats & Jackets market in 2024.
  • Looking ahead to 2029, the volume of the Coats & Jackets market in Turkmenistan is forecasted to reach 282.9k pieces units.
  • Additionally, a growth rate of 2.5% is projected for 2025.
  • On average, each person in Turkmenistan is expected to contribute 0.0pieces units to the Coats & Jackets market in 2024.
  • Despite the warm climate in Turkmenistan, there is a growing demand for lightweight and breathable coats and jackets due to the country's fluctuating temperatures.

Key regions: Indonesia, Malaysia, Germany, Philippines, 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
  • Price
  • Sales Channels
  • Global Comparison
  • Methodology
  • Key Market Indicators
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