Market Insights Consumer Household Appliances Small Appliances

Vacuum Cleaners - Rwanda

Rwanda

In 2024, the revenue in the Vacuum_Cleaners segment in Rwanda is estimated to be US$5.77m Rwandan Francs.
It is projected that the market will experience an annual growth rate of 5.89% from 2024 to 2029 (CAGR 2024-2029).
When compared on a global scale, in China generates the highest revenue in the Vacuum_Cleaners segment, reaching US$13,180m Rwandan Francs in 2024.
In terms of per household revenues, the Vacuum_Cleaners segment in Rwanda is predicted to generate US$2.01 Rwandan Francs per household in 2024.
Looking ahead to 2029, the volume in the Vacuum_Cleaners segment is expected to reach 46.6k pieces units in Rwanda.
In 2025, the segment is projected to exhibit a volume growth of 3.8% units.
On average, each household in Rwanda is anticipated to have a volume of 0.01pieces units in the Vacuum_Cleaners segment by 2024.
Rwanda's growing middle class is driving the demand for high-quality, energy-efficient vacuum cleaners in the market.

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

Market

Region

Region comparison

Currency

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.