Market Insights Consumer Household Appliances Small Appliances

Vacuum Cleaners - Sri Lanka

Sri Lanka

In 2024, the revenue in the Vacuum_Cleaners segment in Sri Lanka amounts to US$101.80m.
It is projected to have an annual growth rate of 4.44% (CAGR 2024-2029).
When compared globally, the highest revenue is generated in China, reaching US$13,180m in 2024.
In terms of the total number of households, each household is expected to generate a revenue of US$17.88 in 2024.
Looking ahead to 2029, the volume in the Vacuum_Cleaners segment is anticipated to reach 0.7m pieces units.
Additionally, there is an expected volume growth of 1.6% in 2025.
On average, each household in the Vacuum_Cleaners segment is projected to have a volume of 0.11pieces units in 2024.
This data highlights the market segment of Vacuum_Cleaners in Sri Lanka.
Sri Lanka's vacuum cleaner market is witnessing a surge in demand for lightweight, portable models due to the country's compact living spaces and frequent power outages.

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.