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Free ad-supported streaming TV (FAST) - India

India

Revenue

Analyst Opinion

The Free ad-supported streaming TV (FAST) market in the OTT video sector of the TV & video market in India is witnessing remarkable growth, fueled by increased internet penetration, a surge in smartphone usage, and a rising demand for cost-effective entertainment options.

Customer preferences:
Consumers in India are increasingly gravitating towards Free ad-supported streaming TV (FAST) platforms, driven by a preference for accessible and diverse content without subscription fees. This trend is particularly notable among younger demographics and urban dwellers who prioritize affordability and variety in entertainment options. Additionally, the rise of regional content and localized programming reflects a growing demand for relatable narratives that resonate with diverse cultural backgrounds. As digital consumption habits evolve, binge-watching and on-demand viewing are becoming the norm, further propelling the FAST market's growth.

Trends in the market:
In India, the Free ad-supported streaming TV (FAST) market is experiencing significant growth as consumers seek cost-effective entertainment options. The popularity of these platforms is especially pronounced among younger audiences and urban residents who favor diverse and easily accessible content. Additionally, the increasing demand for regional and localized programming highlights a shift towards narratives that resonate with various cultural identities. As binge-watching and on-demand viewing become standard practices, industry stakeholders must adapt to these evolving preferences to capture and retain viewer attention in this competitive landscape.

Local special circumstances:
In India, the Free ad-supported streaming TV (FAST) market is thriving, driven by a burgeoning internet user base and widespread smartphone adoption. The country's diverse linguistic and cultural landscape fuels demand for regional content, prompting platforms to curate localized offerings that resonate with various demographics. Furthermore, regulatory support for digital media and competition among OTT players encourages innovation and affordable access. As viewers increasingly favor flexible, on-demand consumption, these local factors play a pivotal role in shaping the FAST market dynamics, setting it apart from global trends.

Underlying macroeconomic factors:
The Free ad-supported streaming TV (FAST) market in India is significantly influenced by macroeconomic factors such as the rapid growth of the digital economy, rising disposable incomes, and favorable demographic trends. With a young population increasingly embracing internet services, the demand for diverse and localized content is on the rise. Additionally, government initiatives promoting digital literacy and infrastructure development enhance access to streaming services. Global economic trends, including shifts in consumer spending and increasing investment in technology, further bolster market expansion, making the FAST sector a dynamic and critical component of India’s OTT video landscape.

Users

Global Comparison

Methodology

Data coverage:

Data encompasses enterprises (B2B). Figures are based on advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers video ad formats from services that offer free content supported with advertisements.

Modeling approach:

Market size is determined by a combined top-down and bottom-up approach. We use market data from industry reports and survey results from our primary research (e.g., Consumer ÌÇÐÄÆÆ½â°æ Global Survey) to analyze the markets. Then we benchmark key countries or regions (United States, China, Europe, Asia, and Africa) results with country-specific advertising organizations or associations. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, internet users, and digital consumer spending.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market. For instance, the S-curve function is well suited to forecast digital products due to the non-linear growth of technology adoption, whereas exponential trend smoothing (ETS) is more suited for projecting steady growth in traditional advertising markets.

Additional notes:

Data is modeled using current exchange rates. The impacts of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice per year in case market dynamics change.

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