Market Insights Consumer Apparel Women's Apparel

Coats & Jackets - Brunei Darussalam

Brunei Darussalam

In 2024, the revenue in the Coats & Jackets market in Brunei Darussalam amounts to US$2.43m.
It is projected to grow annually by 1.83% (CAGR 2024-2029).
When compared globally, in China generates the highest revenue in the Coats & Jackets market, reaching US$7,451m in 2024.
In terms of per person revenues, in Brunei Darussalam generates US$5.34 in 2024.
Looking ahead to 2029, the volume in the Coats & Jackets market is expected to reach 163.4k pieces units.
Additionally, there is an anticipated volume growth of 3.8% in 2025.
The average volume per person in the Coats & Jackets market is projected to be 0.3pieces units in 2024.
Brunei Darussalam's demand for lightweight and breathable coats and jackets is growing due to its hot and humid climate.

Key regions: Philippines, India, Europe, China, United States

Market

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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.