Smart Home - Qatar

Qatar

The Smart Home market in Qatar is projected to achieve a substantial revenue of US$68.1m by 2024.
This revenue is expected to grow at an annual rate of 14.43% (CAGR 2024-2028), resulting in a projected market volume of US$116.7m by 2028.
In line with this growth, the number of active households in Qatar's Smart Home market is estimated to reach [users_currentlayer_yearend] by 2028.
Furthermore, household penetration, which measures the percentage of households adopting Smart Home market technology, is anticipated to increase from 17.3% in 2024 to 27.6% by 2028.
Currently, the average revenue per installed Smart Home market in Qatar is expected to be US$562.20.
When comparing global markets, it is worth noting that United States generates the highest revenue in the Smart Home market sector.
In 2024, United States is projected to generate a significant revenue of US$38,800.0m.
Qatar's Smart Home market is rapidly expanding, driven by the country's focus on sustainable and energy-efficient living solutions.

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

Market

Region

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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.