Market Insights Consumer Apparel Women's Apparel

Dresses & Skirts - Sudan

Sudan

The Dresses & Skirts market in Sudan is projected to generate a revenue of US$4.13m in 2024.
It is anticipated that this market will experience an annual growth rate of 0.29%, representing a compound annual growth rate (CAGR) from 2024 to 2029.
In a global context, in China leads the market in terms of revenue, with an estimated amount of US$20,990m in 2024.
When considering the population, the per person revenue in Sudan's Dresses & Skirts market is expected to reach US$0.08 in 2024.
Looking ahead, the volume of the Dresses & Skirts market is projected to reach 6.6m pieces by 2029.
Additionally, there is an expected volume growth of 2.5% in 2025.
Furthermore, the average volume per person in Sudan's Dresses & Skirts market is anticipated to be 0.1pieces in 2024.
Sudanese women are embracing traditional Sudanese dress styles, incorporating vibrant colors and intricate patterns into their dresses and skirts.

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

Market

Region

Region comparison

Currency

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.