Smart Home - Asia

  • Asia
  • The Smart Home market in Asia is projected to experience substantial growth in the coming years.
  • According to estimates, the revenue in this market is expected to reach €55.4bn by 2024.
  • Furthermore, it is anticipated that the market will continue to expand at an annual growth rate of 12.20% between 2024 and 2028, resulting in a projected market volume of €87.8bn by 2028.
  • In terms of household adoption, the number of active households in the Smart Home market is predicted to reach [users_currentlayer_yearend] by 2028 in Asia.
  • This indicates a significant increase in the penetration of Smart Home market technology, with household penetration expected to rise from 17.2% in 2024 to 31.4% by 2028.
  • Currently, the average revenue per installed Smart Home market in Asia is estimated to be €259.70.
  • This figure highlights the potential for revenue generation in this market segment.
  • When comparing global performance, United States leads the way in terms of revenue generation in the Smart Home market.
  • In 2024, United States is projected to generate €35,470.0m in revenue, making it the highest revenue-generating country in this market segment.
  • In South Korea, the smart home market is booming, with a focus on integrating AI technology and voice control systems.

Key regions: United States, United Kingdom, Germany, Europe, Norway

Comparación de regiones


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.


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.

Visión general

  • Revenue
  • Smart Homes
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
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