Smart Home - Germany

  • Germany
  • Germany is expected to see significant growth in the Smart Home market.
  • According to projections, the revenue in this market is set to reach €8.1bn by 2024.
  • With an annual growth rate (CAGR 2024-2028) of 9.30%, the market volume is projected to reach €11.5bn by 2028.
  • Furthermore, the number of active households in the Smart Home market is expected to reach [users_currentlayer_yearend] by 2028.
  • In terms of household penetration, in Germany is predicted to have a penetration rate of 44.9% in 2024, which is anticipated to increase to 90.7% by 2028.
  • This indicates a growing interest and adoption of Smart Home market technology among households in the country.
  • Currently, the average revenue per installed Smart Home market in Germany is expected to be €416.50.
  • This indicates the amount of revenue generated per Smart Home market installation.
  • When comparing revenue globally, it is noteworthy that United States leads the way with a projected revenue of €35,980.0m in 2024.
  • This highlights the dominance of the US market in the Smart Home market industry.
  • Germany leads the way in the Smart Home market with its strong focus on energy efficiency and advanced automation technologies.

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
  • Demographics
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
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