Energy Management - Europe

Europe

Revenue in the Energy Management market is projected to reach €3.1bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.65%, resulting in a projected market volume of €4.9bn by 2029.
In the Energy Management market, the number of active households is expected to amount to 75.4m users by 2029.
Household penetration will be 20.2% in 2024 and is expected to hit 24.2% by 2029.
The average revenue per installed Smart Home currently is expected to amount to €46.92.

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Analyst Opinion

The Energy Management market in Europe is experiencing significant growth due to various factors such as increasing environmental concerns, government regulations, and advancements in technology.

Customer preferences: Customers in Europe are increasingly concerned about the environmental impact of their energy consumption. They are looking for ways to reduce their carbon footprint and minimize energy waste. This has led to a growing demand for energy management solutions that can help monitor and optimize energy usage in homes, buildings, and industries.

Trends in the market: One of the key trends in the European Energy Management market is the adoption of smart grid technology. Smart grids enable the efficient integration of renewable energy sources, such as solar and wind, into the existing energy infrastructure. This allows for better management of energy supply and demand, leading to reduced energy costs and a more reliable energy supply. Another trend in the market is the increasing use of energy management systems in commercial buildings. These systems help monitor and control energy consumption in real-time, allowing building owners and managers to identify areas of energy waste and implement energy-saving measures. This not only helps reduce energy costs but also improves the overall sustainability of the building.

Local special circumstances: Europe has been at the forefront of renewable energy adoption and has set ambitious targets for reducing greenhouse gas emissions. This has created a favorable environment for the growth of the Energy Management market. Many European countries have implemented regulations and incentives to promote energy efficiency and the use of renewable energy sources. This has further fueled the demand for energy management solutions.

Underlying macroeconomic factors: The European Energy Management market is also influenced by macroeconomic factors such as economic growth, energy prices, and government policies. As the European economy continues to recover, there is an increased focus on energy efficiency and sustainability. Rising energy prices have also made energy management solutions more attractive for businesses and consumers looking to reduce their energy costs. Additionally, government policies and regulations aimed at reducing greenhouse gas emissions have created a supportive environment for the Energy Management market. In conclusion, the Energy Management market in Europe is experiencing significant growth due to increasing customer preferences for energy efficiency and sustainability, as well as favorable local circumstances and underlying macroeconomic factors. The adoption of smart grid technology and the use of energy management systems in commercial buildings are key trends driving the market. As Europe continues to prioritize renewable energy and environmental sustainability, the Energy Management market is expected to further expand 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.