Market Insights Consumer Household Appliances Small Appliances

Electric Kettles - Ethiopia

Ethiopia

In 2024, the Electric Kettles market in Ethiopia is projected to generate a revenue of US$35.31m.
This market is anticipated to experience an annual growth rate of 9.96%, as measured by the compound annual growth rate (CAGR) for the period 2024-2029.
When compared globally, in China leads the way in terms of revenue generation in the Electric Kettles market, with an estimated revenue of US$1,183m in 2024.
In relation to the total number of households, each household is expected to generate a revenue of US$1.44 in 2024.
Looking ahead to 2029, the volume of the Electric Kettles market is projected to reach 2.2m pieces units.
Additionally, there is an expected volume growth of 6.3% in 2025.
On average, each household in Ethiopia is expected to have a volume of 0.07pieces units in the Electric Kettles market by 2024.
Despite Ethiopia's traditional tea-drinking culture, the demand for electric kettles is steadily rising as urban consumers embrace modern kitchen appliances.

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.