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Free ad-supported streaming TV (FAST) - Europe

Europe

Revenue

Analyst Opinion

The Free ad-supported streaming TV (FAST) market in the OTT Video sector of the TV & Video Market within the Media Market in Europe has witnessed significant growth, fueled by increasing consumer demand for diverse content, cost-effectiveness, and evolving viewing habits.

Customer preferences:
Consumers in Europe are increasingly gravitating towards Free ad-supported streaming TV (FAST) services, driven by a desire for affordable entertainment options amid rising living costs. This shift reflects a cultural preference for diverse, on-demand content that aligns with varying lifestyles and viewing habits. Younger demographics, particularly Gen Z and Millennials, are embracing FAST platforms for their vast libraries and accessibility, while older audiences are drawn to nostalgic programming. Additionally, the increase in multilingual content caters to Europe's diverse population, enhancing user engagement and satisfaction.

Trends in the market:
In Europe, the Free ad-supported streaming TV (FAST) market is experiencing significant growth as consumers seek budget-friendly entertainment options amidst economic challenges. This trend is marked by a rising demand for diverse, on-demand content, appealing to various age groups. Younger viewers, especially Gen Z and Millennials, favor FAST services for their extensive libraries, while older audiences enjoy nostalgic programming. The influx of multilingual content caters to Europe's cultural diversity, fostering deeper user engagement. This evolving landscape presents opportunities for industry stakeholders to innovate and adapt, ensuring they meet the shifting preferences of a dynamic viewer base.

Local special circumstances:
In Germany, the FAST market is shaped by a strong preference for local content, with viewers favoring platforms that offer German-language programming. The United Kingdom sees a blend of traditional broadcasting and digital platforms, where users expect seamless integration of live and on-demand content, driving FAST adoption. In France, regulatory support for audiovisual media encourages local production, enhancing the appeal of FAST services. Italy's diverse regional cultures demand a variety of content, pushing FAST providers to offer localized programming that resonates with different audiences across the country.

Underlying macroeconomic factors:
The expansion of the Free ad-supported streaming TV (FAST) market across Europe is significantly influenced by macroeconomic factors, including economic stability, consumer spending, and digital infrastructure investment. Countries with robust economic growth and higher disposable incomes, such as Germany and the UK, are witnessing increased adoption of FAST services as consumers seek affordable entertainment options. Additionally, favorable fiscal policies promoting local content production in France and Italy drive market engagement, while the ongoing digital transformation across Europe enhances access to streaming platforms. The competitive landscape is further shaped by evolving consumer preferences for diverse, localized programming that reflects regional cultural identities.

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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