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 €8.0bn by 2024.
  • With an annual growth rate (CAGR 2024-2028) of 9.15%, the market volume is projected to reach €11.3bn 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 €410.50.
  • 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 €35,470.0m 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

 
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Comparaison de régions
 
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Methodology

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.

Forecasts:

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.

Vue d’ensemble

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