Market Insights Consumer Household Appliances Small Appliances

Coffee Machines - Cuba

Cuba

In 2024, the revenue generated in the Coffee Machines market in Cuba amounted to US$33.12m.
It is projected that the market will experience an annual growth rate of 5.72% (CAGR 2024-2029).
When compared globally, in the United States generates the highest revenue in this segment, reaching US$3,700m in 2024.
In terms of per household revenues, each household in Cuba is expected to generate US$12.82 in 2024.
Looking ahead to 2029, the volume in the Coffee Machines market is forecasted to reach 170.9k pieces.
However, there is a slight decline in volume growth expected for 2025, with a decrease of -0.0%.
On average, each household in Cuba is predicted to have a volume of 0.07pieces in the Coffee Machines market in 2024.
These numbers demonstrate the significance of the Coffee Machines market in Cuba and its potential for growth in the coming years.
Cuba's coffee machine market is rapidly growing as the country's coffee culture continues to flourish.

Key regions: Europe, Germany, India, Indonesia, China

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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.