Energy Management - Switzerland

  • Switzerland
  • Revenue in the Energy Management market is projected to reach US$96.4m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 12.87%, resulting in a projected market volume of US$156.4m by 2028.
  • In the Energy Management market, the number of active households is expected to amount to 3.0m users by 2028.
  • Household penetration will be 20.3% in 2024 and is expected to hit 65.8% by 2028.
  • The average revenue per installed Smart Home currently is expected to amount to US$111.90.
 
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Analyst Opinion

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

Customer preferences:
Customers in Switzerland are becoming increasingly conscious about their energy consumption and its impact on the environment. They are actively seeking ways to reduce their energy usage and carbon footprint. This has led to a growing demand for energy management solutions that help monitor and control energy consumption in residential, commercial, and industrial settings. Customers are also looking for solutions that can integrate renewable energy sources such as solar panels and wind turbines into their energy management systems.

Trends in the market:
One of the key trends in the Energy Management market in Switzerland is the adoption of smart grid technology. Smart grids enable efficient energy distribution and management by using advanced sensors, meters, and communication networks. These smart grids allow consumers to monitor and manage their energy consumption in real-time, leading to better energy efficiency and cost savings. The Swiss government has been actively promoting the development and implementation of smart grid infrastructure, which has further fueled the growth of the Energy Management market. Another trend in the market is the increasing use of energy analytics software. Energy analytics software helps businesses and households analyze their energy usage patterns and identify areas for improvement. This data-driven approach enables customers to make informed decisions about their energy consumption and implement energy-saving measures. The demand for energy analytics software is expected to continue rising as customers prioritize energy efficiency and sustainability.

Local special circumstances:
Switzerland has a strong focus on renewable energy and sustainability. The country is known for its commitment to reducing greenhouse gas emissions and has set ambitious targets for renewable energy generation. This emphasis on sustainability has created a favorable environment for the Energy Management market to thrive. The Swiss government provides various incentives and subsidies for the adoption of energy management solutions, further driving market growth.

Underlying macroeconomic factors:
The Energy Management market in Switzerland is also influenced by macroeconomic factors such as economic growth, energy prices, and government policies. The country has a stable economy and a high standard of living, which allows customers to invest in energy management solutions. Additionally, the increasing cost of energy has made energy efficiency a priority for businesses and households, leading to a higher demand for energy management solutions. Government policies and regulations promoting energy efficiency and sustainability have also played a significant role in driving the market growth.

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.

Overview

  • Revenue
  • Key Players
  • Product Types
  • Global Comparison
  • Analyst Opinion
  • Methodology
  • Key Market Indicators
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