Smart Appliances - France

France

Revenue in the Smart Appliances market is projected to reach €1.4bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.24%, resulting in a projected market volume of €2.1bn by 2029.
In the Smart Appliances market, the number of active households is expected to amount to 20.4m users by 2029.
Household penetration will be 15.9% in 2024 and is expected to hit 68.1% by 2029.
The average revenue per installed Smart Home currently is expected to amount to €287.60.

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Analyst Opinion

The Smart Appliances market in France is experiencing steady growth due to changing customer preferences and emerging trends in the market.

Customer preferences: Customers in France are increasingly looking for appliances that offer convenience, energy efficiency, and connectivity. Smart appliances that can be controlled remotely through smartphones or voice assistants are becoming more popular. In addition, there is a growing demand for appliances that can help reduce energy consumption and contribute to a sustainable lifestyle. Customers are also seeking appliances that offer advanced features and functionalities, such as self-cleaning ovens or refrigerators with built-in cameras for inventory management.

Trends in the market: One of the key trends in the Smart Appliances market in France is the integration of Internet of Things (IoT) technology. Smart appliances are now equipped with sensors and connectivity features that enable users to control and monitor their appliances remotely. This trend is driven by the increasing adoption of smart home systems and the desire for a connected and automated lifestyle. Another trend in the market is the focus on energy efficiency. With rising energy costs and growing environmental concerns, customers are looking for appliances that can help them reduce their energy consumption. Smart appliances offer features like energy monitoring and optimization, allowing users to track their energy usage and make adjustments accordingly.

Local special circumstances: France has a strong focus on sustainability and environmental protection. The government has implemented various initiatives and regulations to promote energy efficiency and reduce carbon emissions. This has created a favorable environment for the adoption of smart appliances, as they align with the country's goals of reducing energy consumption and promoting sustainable living.

Underlying macroeconomic factors: The French economy has been steadily recovering in recent years, which has positively impacted consumer spending. With increasing disposable income, customers are more willing to invest in high-quality and innovative appliances, including smart appliances. The growing trend of smart homes and the desire for convenience and connectivity are also driving the demand for smart appliances. In conclusion, the Smart Appliances market in France is witnessing growth due to changing customer preferences and emerging trends in the market. The integration of IoT technology and the focus on energy efficiency are key factors driving this growth. Additionally, the country's emphasis on sustainability and the recovering economy are creating a favorable environment for the adoption of smart appliances.

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 category. 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 innovative products 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 once a year, in case market dynamics change we do more frequent updates.