Market Insights Consumer Household Appliances Small Appliances

Vacuum Cleaners - Southern Africa

Southern Africa

In 2024, the revenue in the Vacuum_Cleaners segment in Southern Africa amounts to US$126.40m.
It is projected that the market will experience an annual growth rate of 6.35% (CAGR 2024-2029).
When compared globally, in China generates the highest revenue in this segment, reaching US$13,180m in 2024.
In terms of per household revenues, the Vacuum_Cleaners segment generates US$7.51 in 2024, taking into account the total number of households.
Looking ahead, it is estimated that the volume in the Vacuum_Cleaners segment will reach 0.8m pieces by 2029.
Furthermore, a volume growth of 1.8% is anticipated in 2025.
Considering the average volume per household in the Vacuum_Cleaners segment, it is expected to be 0.04pieces in 2024.
This information sheds light on the market segment of Vacuum_Cleaners in Southern Africa.
Southern Africa's vacuum cleaner market is experiencing a surge in demand for eco-friendly and energy-efficient models.

Key regions: Indonesia, Canada, Europe, Worldwide, Japan

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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.