Smart Home - Indonesia

Indonesia

The projected revenue for the Smart Home market in Indonesia is estimated to reach US$556.5m in 2024.
This market is expected to exhibit a compound annual growth rate (CAGR 2024-2028) of 11.93%, resulting in a projected market volume of US$873.4m by 2028.
By that year, it is anticipated that there will be approximately [users_currentlayer_yearend] active households in the Smart Home market in Indonesia.
The household penetration rate, which currently stands at 14.5% in 2024, is projected to increase to 23.2% by 2028.
The average revenue per installed Smart Home market in Indonesia is expected to be US$50.65.
When compared globally, it is worth noting that United States generates the highest revenue in the Smart Home market, with a projected revenue of US$38,800.0m in 2024.
Indonesia's Smart Home market is rapidly growing as more tech-savvy consumers embrace connected devices for enhanced convenience and security.

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

Market

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Currency

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.