Market Insights Consumer Household Appliances Small Appliances

Electric Kettles - Brunei Darussalam

Brunei Darussalam

In 2024, the Electric Kettles market in Brunei Darussalam generated a revenue of BND US$0.49m.
It is anticipated that the market will experience an annual growth rate of 0.40% (CAGR 2024-2029).
When compared globally, in China generates the highest revenue in this segment, reaching BND US$1,183m in 2024.
Taking into account the total number of households, the per household revenue in the Electric Kettles market is projected to be BND US$5.87 in 2024.
Looking ahead to 2029, the volume in the Electric Kettles market is expected to reach 10.2k pieces units.
However, in 2025, a slight decrease in volume growth of -0.2% is predicted.
The average volume per household in the Electric Kettles market is estimated to be 0.12pieces units in 2024.
Despite its small population, Brunei Darussalam has seen a significant increase in the demand for electric kettles, driven by their convenience and energy-efficient features.

Key regions: Indonesia, Worldwide, China, Canada, United States

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Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on consumer spending on Household Appliances.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, trade data, national statistical office data, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global Survey), as well as performance factors. In addition, we use relevant key market indicators and data from country-specific associations, such as number of households, consumer spending, and price level index. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques, such as exponential trend smoothing, for instance. The selection of forecasting techniques is based on the behavior of the relevant market.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Survey data is reweighted for representativeness.