Energy Management - Bhutan

Bhutan

The revenue in the Energy Management market of Bhutan is projected to reach US$42.5k in 2024.
It is anticipated that there will be an annual growth rate of 5.82% (CAGR 2024-2028), resulting in a projected market volume of US$53.3k by 2028.
In Bhutan's Energy Management market, the number of active households is expected to reach 3.7k users by 2028.
The household penetration rate is projected to be 1.1% in 2024 and is expected to increase to 1.7% by 2028.
The average revenue per installed Smart_Home in Bhutan is expected to be US$20.67.
When comparing global figures, it is evident that in the United States generates the highest revenue in this segment, with US$3,023.0m in 2024.
Bhutan's energy management sector is striving towards harnessing its abundant hydropower potential for sustainable and environmentally friendly electricity production.

Key regions: Japan, United Kingdom, South Korea, Asia, United States

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Analyst Opinion

The segment Energy Management covers the sale of products and services for the control and reduction of energy consumption. For many consumers saving money is one of the main arguments for buying smart home solutions. The main product category are smart thermostats in combination with AC and radiator controls build by Google Nest, Bosch, Hive, Honeywell or Samsung. Moderately rising energy prices and a decentralized energy provision are still the main global drivers. While the first smart homes were high-value mansions, new plug-and-play solutions drive prices down and thus open the market for middle class households. While smart homes now focus on preserving energy, we can also expect a shift towards energy storage and production.

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 segment. 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 digital products and services 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 twice a year in case market dynamics change.