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Audiobooks - EU-27

EU-27

In the EU-27.3%, revenue in the Audiobooks market is projected to reach US$0.84bn in 2024.
This revenue is expected to exhibit an annual growth rate (CAGR 2024-2029) of 8.79%, leading to a projected market volume of US$1.28bn by 2029.
By 2029, the number of readers in the Audiobooks market within the EU-27.3% is anticipated to amount to 147.7m users.
User penetration is forecasted to be 27.3% in 2024 and is expected to increase to 33.2% by 2029.
The average revenue per user (ARPU) in the EU-27.3% is estimated to be US$6.91.
In a global context, the majority of revenue will be generated the United States, which is projected to reach US$3,408.00m in 2024.
The EU-27 is witnessing a significant rise in audiobook consumption, driven by increasing digital literacy and a growing preference for on-the-go learning.

Key regions: China, Asia, Europe, United States, Japan

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Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Audiobooks market, which comprises all revenues generated by subscriptions, digital or physical audiobooks in form of CDs or Tonies. Revenues are also based on app spendings.

Modeling approach / market size:

The market 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 market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as various macroeconomic indicators, historical developments, current trends, and reported performance indicators of key market players. In particular, we consider average prices and annual purchase frequencies.

Forecasts:

We apply a variety of forecasting techniques, depending on the behavior of the relevant market. 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. The main drivers are GDP per capita, consumer spending per capita, 4G coverage and internet penetration.

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.