Market Insights Consumer Consumer Electronics TV Peripheral Devices

Smart Streaming Devices - Southern Asia

Southern Asia

The Smart Streaming Devices market in Southern Asia is projected to generate a revenue of US$510.1m in 2024.
It is anticipated to experience an annual growth rate of 12.78% from 2024 to 2029 (CAGR 2024-2029).
When compared to other countries worldwide, in the United States leads the market with a revenue of US$2,731.0m in 2024.
Considering the total population, the per person revenue in the Smart Streaming Devices market is estimated to be US$0.27 in 2024.
In terms of volume, the market is expected to reach 20.8m pieces units by 2029.
Additionally, there is a projected volume growth of 17.4% in 2025.
On average, each person is expected to have a volume of 0.0pieces units in the Smart Streaming Devices market in 2024.
In Southern Asia, there is a growing demand for smart streaming devices, with countries like India and Indonesia leading the way in adoption and market growth.

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

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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.