Smart Home - France

France

The Smart Home market in France is projected to experience significant growth in the coming years.
By 2024, it is estimated that the market will generate a revenue of US$3.5bn.
This upward trend is expected to continue with an annual growth rate (CAGR 2024-2028) of 8.90%.
By 2028, the projected market volume is anticipated to reach US$4.9bn.
This growth will be fueled by an increase in the number of active households, which is expected to reach [users_currentlayer_yearend] during the same period.
The household penetration rate, which currently stands at 27.0%, is projected to reach 50.0% by 2028.
In terms of revenue per installed Smart Home market, the average is expected to be US$419.50.
This indicates the potential for profitability in the Smart Home market in France.
When compared globally, it is notable that United States leads in terms of revenue generation, with US$38,800.0m projected for 2024.
This further highlights the market potential and competitiveness in the Smart Home market industry.
Overall, the Smart Home market in France is poised for growth, with increasing revenue, market volume, and household penetration.
These figures indicate a promising future for the industry, both domestically and in comparison to other countries.
France is leading the way in the smart home market with innovative solutions that seamlessly integrate with the country's rich cultural heritage.

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

Market

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Currency

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.