Energy Management - Dominican Republic

Dominican Republic

The Energy Management market in the Dominican Republic is projected to see a significant increase in revenue.
By 2024, the revenue is estimated to reach €1.8m.
The market is expected to demonstrate a steady annual growth rate of 8.37% between 2024 and 2028.
As a result, the projected market volume is anticipated to reach €2.5m by 2028.
In terms of household participation, the number of active households in the Energy Management market is expected to reach 300.3k users by 2028.
The household penetration rate, which is currently at 2.6% in 2024, is projected to increase to 7.9% by 2028.
The average revenue per installed Smart_Home is expected to be €19.86.
This figure represents the revenue generated per household in the Energy Management market.
When comparing revenue across different countries, it is evident that in the United States leads the market.
In 2024, in the United States is projected to generate a revenue of €2,774.0m.
These figures highlight the growth and potential of the Energy Management market in the Dominican Republic.
The Dominican Republic is experiencing a growing demand for energy management solutions to address its increasing energy consumption and sustainability goals.

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

Marché

Région

Comparaison de régions

Monnaie

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.