Market Insights Consumer Consumer Electronics TV Peripheral Devices

Smart Remotes - Central Asia

Central Asia

The revenue in the Smart Remotes market in Central Asia amounts to US$259.5k in 2024.
It is projected to grow annually by 7.83% (CAGR 2024-2029).
When compared globally, in the United States generates the highest revenue in the market, reaching US$82,120.0k in 2024.
In terms of per person revenues, US$0.00 is generated in Central Asia in 2024.
By 2029, the volume in the Smart Remotes market is expected to reach 10.7k pieces.
The market is projected to show a volume growth of 13.0% in 2025.
The average volume per person in the Smart Remotes market in Central Asia is expected to be 0.0pieces in 2024.
In Central Asia, the market for smart remotes is rapidly growing, driven by the increasing adoption of smart home technologies in urban areas.

Key regions: Worldwide, Brazil, Canada, Germany, Europe

Market

Region

Region comparison

Currency

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on consumer spending on electronic and digital devices used privately either for entertainment (televisions, game consoles, smart speakers, etc.), communication (telephones, smartphones, etc.) or home-office activities (printers, copiers, etc.).

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Global Consumer Survey), as well as performance factors (e.g., user penetration, price per product, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, consumer spending, number of internet users, smartphone penetration rate, household number and consumer price index. 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 electronic products due to the non-linear growth of technology adoption and regular product upgrade. The main drivers are GDP per capita, consumer spending per capita, and 5G penetration rate.

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 some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). GCS data is reweighted for representativeness.