Market Insights Consumer Household Appliances Major Appliances

Dishwashing Machines - Bangladesh

Bangladesh

In 2024, the Dishwashing Machines market in Bangladesh is projected to generate a revenue of US$300.60m.
It is anticipated that the market will experience an annual growth rate of 4.21% (CAGR 2024-2028).
When compared globally, in the United States leads the way in terms of revenue generation, with an estimated revenue of US$3,529m in 2024.
In relation to the total number of households, the per household revenue in the Dishwashing Machines market is expected to be US$7.73 in 2024.
Looking ahead to 2028, the volume of the Dishwashing Machines market is projected to reach 0.6m pieces units.
This segment is also expected to demonstrate a volume growth rate of 2.9% in 2025.
Furthermore, the average volume per household in the Dishwashing Machines market is anticipated to be 0.01pieces units in 2024.
Bangladesh's dishwashing machine market is experiencing a surge in demand due to the increasing number of households with dual-income earners.

Key regions: India, Europe, United States, Worldwide, Canada

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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 Global Consumer 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). GCS data is reweighted for representativeness.