Smart Home - South Africa

  • South Africa
  • The Smart Home market in South Africa is anticipated to experience significant growth in the coming years.
  • According to projections, the revenue in this market is expected to reach €715.7m by 2024.
  • Moreover, the market is expected to witness a compound annual growth rate (CAGR 2024-2028) of 11.12%, leading to a projected market volume of €1,091.0m by 2028.
  • In terms of household adoption, the number of active Smart Home market households in South Africa is estimated to reach [users_currentlayer_yearend] by 2028.
  • This indicates a substantial increase in household penetration, which is predicted to rise from 11.0% in 2024 to 20.6% by 2028.
  • Currently, the average revenue per installed Smart Home market in South Africa stands at €338.10.
  • When comparing the global market, it is noteworthy that United States generates the highest revenue in the Smart Home market sector.
  • In 2024, the revenue generated United States is expected to amount to €35,470.0m.
  • South Africa is experiencing a growing trend in the adoption of smart home technology, with an increasing number of households integrating automated devices for improved convenience and security.

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

 
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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.

Vue d’ensemble

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