Smart Home - Senegal

  • Senegal
  • The Smart Home market in Senegal is projected to reach a revenue of €17.8m in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2028) of 13.42%, resulting in a projected market volume of €29.5m by 2028.
  • In Senegal, the number of active households in the Smart Home market is expected to amount to [users_currentlayer_yearend] by 2028.
  • This indicates a household penetration of 3.5% in 2024, which is expected to increase to 5.5% by 2028.
  • Currently, the average revenue per installed Smart Home market in Senegal is expected to be €177.60.
  • When comparing globally, it is worth noting that United States generates the most revenue in the Smart Home market, with a projected revenue of €35,980.0m in 2024.
  • As a journalist with deep knowledge about history, facts, and insights, I can provide you with a country-specific statement about current trends in the Smart Home market in Senegal: "Senegal's Smart Home market is rapidly evolving, with an increasing demand for energy-efficient devices and a growing interest in home automation systems."

Key regions: United States, United Kingdom, Germany, Europe, Norway

Comparación de regiones


Data coverage:

The data encompasses B2C enterprises. Figures are based on the sales of smart home products, excluding taxes.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use the Statista Global Consumer Survey, market data from independent databases and third-party sources, and Statista interviews with market experts. In addition, we use relevant key market indicators and data from country-specific associations, such as household internet penetration and consumer spending for households. This data helps us estimate the market size for each country individually.


In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP/capita, level of digitization, and consumer attitudes toward smart home integration.

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 case market dynamics change.

Visión general

  • Revenue
  • Smart Homes
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
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