Market Insights Consumer Household Appliances Small Appliances

Microwave Ovens - Indonesia

Indonesia

In 2024, the revenue generated by the Microwave Ovens market in Indonesia amounted to US$77.79m.
It is projected that the market will experience an annual growth rate of 3.33% from 2024 to 2028 (CAGR 2024-2028).
When comparing this to other countries globally, in the United States generated the highest revenue in the Microwave Ovens market, reaching US$1,998m in 2024.
When considering the total number of households, the per household revenue in the Microwave Ovens market for Indonesia was US$1.02 in 2024.
Looking ahead to 2028, the volume of the Microwave Ovens market is expected to reach 0.9m pieces units.
Additionally, there is an estimated volume growth of 1.0% units in 2025.
Furthermore, the average volume per household in the Microwave Ovens market in Indonesia is forecasted to be 0.01pieces units in 2024.
The demand for high-tech, energy-efficient microwave ovens is on the rise in Indonesia as consumers prioritize convenience and sustainability in their kitchen appliances.

Key regions: United States, Europe, India, Indonesia, 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.