Public TV Licence Fees - Germany

Germany

Highlights

In Germany, revenue in the Public TV Licence Fees market market is projected to reach US$7.19bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.24%, resulting in a projected market volume of US$7.27bn by 2029.
The average revenue per user (ARPU) in Germany is expected to amount to US$114.00.
In global comparison, most revenue will be generated Japan, with figures reaching US$7.86bn in 2024.
The average revenue per TV user (ARPU) in the Public TV Licence Fees market market in Germany is projected to amount to US$114.00 in 2024.
In Germany, public TV license fees are increasingly scrutinized as citizens demand greater transparency and accountability in media funding and services.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Public TV Licence Fees market in Germany has been experiencing significant developments in recent years. Customer preferences, trends in the market, and local special circumstances have all played a role in shaping the current landscape. Additionally, underlying macroeconomic factors have had an impact on the market's growth and development. Customer preferences in Germany have shifted towards consuming media content through digital platforms. With the rise of streaming services and online content providers, traditional television viewership has declined. This shift in customer preferences has led to a decrease in the number of households paying for a TV licence fee. Many consumers now opt for subscription-based services that offer a wide range of content at a lower cost. Trends in the market reflect the changing landscape of media consumption in Germany. As more households choose to forego traditional television in favor of streaming services, the revenue generated from TV licence fees has declined. This trend is expected to continue as digital platforms become increasingly popular. Additionally, the market has become more competitive, with new players entering the streaming industry and offering attractive content packages. Local special circumstances in Germany have also influenced the development of the Public TV Licence Fees market. The country has a strong public broadcasting sector, with several public service broadcasters offering a wide range of programming. However, the funding model for these broadcasters relies heavily on TV licence fees. As the number of households paying for a TV licence fee decreases, public broadcasters are facing financial challenges. This has led to discussions about alternative funding models, such as a broadcasting fee based on income or a tax-funded system. Underlying macroeconomic factors have contributed to the developments in the Public TV Licence Fees market in Germany. The country has experienced steady economic growth in recent years, which has led to an increase in disposable income for many households. This has allowed consumers to explore alternative media options, such as streaming services, which offer greater flexibility and a wider range of content. Additionally, advancements in technology have made it easier for consumers to access digital platforms and stream content on various devices. In conclusion, the Public TV Licence Fees market in Germany is evolving due to changing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. The rise of digital platforms and streaming services has led to a decline in traditional television viewership and a decrease in the number of households paying for a TV licence fee. Public broadcasters are facing financial challenges as a result, and discussions about alternative funding models have emerged. The market is expected to continue evolving as technology advances and consumer preferences continue to shift.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Traditional TV & Home Video and OTT (over-the-top) Services. All monetary figures refer to consumer spending on digital goods or subscriptions in the respective segment. This spending factors in discounts, margins, and taxes.

Modeling approach / Segment size:

The segment size is determined through a bottom-up approach. 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., Consumer Insights), as well as performance factors (e.g., user penetration, price per product, usage) to analyze the markets. To estimate the segment size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, number of internet users, and internet consumption.

Forecasts:

We apply a variety of forecasting techniques, depending on the behavior of the relevant segment. For instance, 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.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. 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). Consumer Insights data is reweighted for representativeness.