Smart Home - Moldova

  • Moldova
  • Revenue in the Smart Home market is projected to reach €21.2m in 2025.
  • Revenue is expected to show an annual growth rate (CAGR 2025-2029) of 11.12%, resulting in a projected market volume of €32.4m by 2029.
  • Household penetration will be 56.7% in 2025 and is expected to hit 68.3% by 2029.
  • The average revenue per installed Smart Home currently is expected to amount to €32.92.
  • A global comparison reveals that most revenue is generated United States (€39,140.0m in 2025).
 
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Analyst Opinion

The Smart Home market in Moldova is experiencing a gradual but steady growth, driven by various factors that cater to the evolving needs and preferences of consumers in the country.

Customer preferences:
Customers in Moldova are increasingly leaning towards smart home solutions that offer convenience, energy efficiency, and enhanced security. The desire for connected devices that can be controlled remotely via smartphones or voice assistants is fueling the demand for smart home technology in the country.

Trends in the market:
One notable trend in the Moldovan Smart Home market is the adoption of smart thermostats and lighting systems to optimize energy usage and reduce utility costs. Additionally, the integration of smart security cameras and doorbell systems is gaining popularity as homeowners seek to enhance the safety of their properties.

Local special circumstances:
Moldova's relatively affordable cost of living compared to other European countries is making smart home technology more accessible to a broader range of consumers. The increasing availability of smart home products in local retail stores and online platforms is also contributing to the market growth in the country.

Underlying macroeconomic factors:
The growing awareness of environmental issues and the need for sustainable living practices are influencing consumers in Moldova to invest in smart home solutions that promote energy efficiency. Additionally, the rising disposable income levels and improving standard of living in the country are driving the adoption of smart home technologies as consumers seek to modernize their living spaces.

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.

Visión general

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