Energy Management - Baltics

  • Baltics
  • Revenue in the Energy Management market is projected to reach US$39.2m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.63%, resulting in a projected market volume of US$64.9m by 2029.
  • In the Energy Management market, the number of active households is expected to amount to 476.3k users by 2029.
  • Household penetration will be 16.6% in 2024 and is expected to hit 17.2% by 2029.
  • The average revenue per installed Smart Home currently is expected to amount to US$83.98.
 
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Analyst Opinion

The Energy Management market in the Baltics is experiencing steady growth and development, driven by customer preferences for energy efficiency and sustainability, as well as favorable local circumstances and underlying macroeconomic factors. Customer preferences in the Baltics are shifting towards energy efficiency and sustainability, driven by increasing awareness of the environmental impact of energy consumption.

Customers are seeking solutions that can help them reduce their energy consumption and carbon footprint, while also saving costs. This has created a demand for energy management systems and solutions that can monitor and optimize energy usage in buildings and industrial facilities. Trends in the market show a growing adoption of smart energy management systems in the Baltics.

These systems utilize advanced technologies such as Internet of Things (IoT) sensors, data analytics, and artificial intelligence to collect and analyze energy data in real-time. They provide insights and recommendations to optimize energy usage, improve operational efficiency, and reduce energy costs. The integration of renewable energy sources, such as solar panels and wind turbines, is also gaining momentum in the region, further driving the demand for energy management solutions.

Local special circumstances in the Baltics contribute to the development of the Energy Management market. The region has a high dependence on imported energy, making energy efficiency a priority for governments and businesses. The Baltic countries also have ambitious renewable energy targets, which require effective energy management strategies to maximize the use of renewable sources.

Additionally, the region has a well-educated workforce and a strong IT sector, which provides a solid foundation for the development and implementation of energy management solutions. Underlying macroeconomic factors in the Baltics support the growth of the Energy Management market. The region has experienced stable economic growth in recent years, which has led to increased investment in infrastructure and industrial development.

This has created opportunities for energy management solutions to be implemented in new buildings and facilities. Furthermore, government initiatives and regulations promoting energy efficiency and sustainability have created a favorable business environment for energy management companies. In conclusion, the Energy Management market in the Baltics is developing due to customer preferences for energy efficiency and sustainability, as well as favorable local circumstances and underlying macroeconomic factors.

The adoption of smart energy management systems, integration of renewable energy sources, and government support for energy efficiency are driving the growth of the market in the region.

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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