The Smart Home market constitutes the sale of networked devices and related services that enable home automation for private end users (B2C). Considered are devices that are connected directly or indirectly via a so-called gateway to the Internet. Their main purposes are the control, monitoring and regulation of functions in a private household.
The remote control and monitoring of individual devices and, if applicable, their direct communication with one another (Internet of Things), is an essential component of intelligent home automation. Therefore, services which are necessary for the maintenance or control of the household network are also considered, e.g. subscription fees for control apps or external monitoring services.
Devices whose primary function is not the automation or remote control of household equipment, e.g. smartphones and tablets, are not included here. Similarly, devices that relate to household connection and remote control only to a limited extent, such as smart TVs, are not included either.
Digitally connected and controlled devices within a house that can be remote controlled
Sensors, actuators and cloud services that support automation in any way
Control hubs to connect sensors and actuators with remote controls and to each other
B2C hardware and software sales as well as subscription fees
B2B/C2C sales of any kind (e.g. to hotels or office buildings)
The data encompasses B2C enterprises. Figures are based on the sales of smart home products, excluding taxes.
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.
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.