Energy Management - Northern Europe

  • Northern Europe
  • Revenue in the Energy Management market is projected to reach US$440.2m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.39%, resulting in a projected market volume of US$689.6m by 2029.
  • In the Energy Management market, the number of active households is expected to amount to 2.8m users by 2029.
  • Household penetration will be 15.8% in 2024 and is expected to hit 15.9% by 2029.
  • The average revenue per installed Smart Home currently is expected to amount to US$159.40.
 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Energy Management market in Northern Europe is experiencing significant growth and development. Customer preferences in the Energy Management market in Northern Europe are driven by a strong focus on sustainability and energy efficiency.

Consumers are increasingly aware of the environmental impact of their energy consumption and are seeking solutions that can help them reduce their carbon footprint. This has led to a growing demand for energy management systems and services that can help individuals and businesses monitor and optimize their energy usage. Trends in the market include the adoption of smart grid technologies, which enable better integration of renewable energy sources and more efficient distribution of electricity.

The increasing use of Internet of Things (IoT) devices and sensors also plays a key role in the development of the Energy Management market, as it allows for real-time monitoring and control of energy consumption. Local special circumstances in Northern Europe, such as the abundance of renewable energy sources, have also contributed to the growth of the Energy Management market. Countries in the region, such as Denmark and Sweden, have made significant investments in renewable energy infrastructure, which has created opportunities for companies operating in the Energy Management sector.

The strong government support for renewable energy and energy efficiency initiatives has also created a favorable regulatory environment for the market to thrive. Underlying macroeconomic factors, such as the increasing cost of energy and the need to reduce greenhouse gas emissions, have further fueled the development of the Energy Management market in Northern Europe. Rising energy prices have incentivized consumers and businesses to seek ways to reduce their energy consumption and lower their energy bills.

Additionally, the European Union's commitment to reducing carbon emissions has led to the implementation of policies and regulations that promote energy efficiency and the use of renewable energy sources. In conclusion, the Energy Management market in Northern Europe is experiencing significant growth and development due to customer preferences for sustainability and energy efficiency, as well as trends such as the adoption of smart grid technologies and IoT devices. Local special circumstances, such as the abundance of renewable energy sources and strong government support, have also contributed to the market's growth.

Underlying macroeconomic factors, such as rising energy prices and the need to reduce greenhouse gas emissions, have further driven the development of the market.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)