Smart Home - Hong Kong

  • Hong Kong
  • In Hong Kong, the Smart Home market is projected to reach a revenue of US$182.3m in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2028) of 9.39%, resulting in a projected market volume of US$261.0m by 2028.
  • Moreover, the number of active households in the Smart Home market is expected to reach [users_currentlayer_yearend] by 2028.
  • In terms of household penetration, it is predicted to be 11.3% in 2024 and is expected to increase to 16.3% by 2028.
  • This indicates the growing adoption of Smart Home market technology among households in Hong Kong.
  • Currently, the average revenue per installed Smart Home market in Hong Kong is expected to amount to US$556.80.
  • This showcases the revenue generated per Smart Home market installation in the market.
  • When comparing globally, it is noteworthy that United States leads in terms of revenue generation in the Smart Home market, with US$38,800.0m in 2024.
  • This demonstrates the significant market presence and potential United States compared to other countries.
  • Hong Kong's affluent population and high-tech infrastructure have made it a prime market for smart home innovations and adoption.

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

Region comparison


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.


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