Trousers - Brunei Darussalam

  • Brunei Darussalam
  • In 2024, the revenue in the Trousers market in Brunei Darussalam amounts to US$4.59m.
  • It is projected that the market will experience an annual growth rate of 2.57% (CAGR 2024-2029).
  • When comparing the global market, in the United States generates the highest revenue with US$30,050m in 2024.
  • In terms of per capita revenue, in Brunei Darussalam generates US$10.07 per person in the Trousers market in 2024.
  • Looking ahead to 2029, the volume of the Trousers market is expected to reach 0.6m pieces units.
  • Additionally, there will be a volume growth of 1.6% in 2025.
  • Moreover, the average volume per person in the Trousers market is projected to be 1.3pieces units in 2024.
  • "Brunei Darussalam's trousers market is witnessing a surge in demand for traditional Malay-style pants, reflecting a renewed interest in preserving the country's cultural heritage."

Key regions: India, Philippines, Singapore, Europe, Germany

 
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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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