Energy Management - France

France

Revenue in the Energy Management market is projected to reach €192.6m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.95%, resulting in a projected market volume of €309.5m by 2029.
In the Energy Management market, the number of active households is expected to amount to 6.3m users by 2029.
Household penetration will be 20.1% in 2024 and is expected to hit 19.9% by 2029.
The average revenue per installed Smart Home currently is expected to amount to €30.71.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Energy Management market in France is experiencing significant growth and development due to a combination of customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in France are increasingly focused on sustainability and energy efficiency.

With growing concerns about climate change and the need to reduce carbon emissions, businesses and households are seeking solutions to optimize their energy consumption. Energy management systems and technologies provide the tools and insights necessary to monitor, control, and optimize energy usage, making them highly attractive to customers in France. Trends in the market further drive the development of the Energy Management market in France.

The increasing adoption of renewable energy sources, such as solar and wind power, creates a need for effective energy management solutions to integrate these intermittent sources into the grid. Additionally, the rise of smart cities and smart buildings requires advanced energy management systems to optimize energy usage and reduce costs. These trends contribute to the growing demand for energy management solutions in France.

Local special circumstances also play a role in the development of the Energy Management market in France. The country has set ambitious targets for renewable energy deployment and carbon reduction, creating a favorable regulatory environment for energy management solutions. Government incentives and subsidies further encourage businesses and households to invest in energy management technologies.

Additionally, France has a well-developed infrastructure and a high level of technological expertise, which facilitates the adoption and implementation of energy management solutions. Underlying macroeconomic factors also contribute to the growth of the Energy Management market in France. The country's strong economy and stable political environment provide a solid foundation for investment in energy management technologies.

Furthermore, the increasing cost of energy and the need to reduce operational expenses drive businesses to seek energy management solutions as a means of cost optimization. The potential for long-term energy savings and improved efficiency makes energy management an attractive investment for businesses in France. In conclusion, the Energy Management market in France is developing rapidly due to customer preferences for sustainability and energy efficiency, market trends such as the adoption of renewable energy and smart cities, local special circumstances including favorable regulations and incentives, and underlying macroeconomic factors such as a strong economy and rising energy costs.

These factors create a conducive environment for the growth of the Energy Management market in France, and the sector is expected to continue expanding in the coming years.

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.