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Audiobooks - Southeast Asia

Southeast Asia

In Southeast Asia, revenue in the Audiobooks market is projected to reach €65.40m in 2024.
Revenue is expected to exhibit an annual growth rate (CAGR 2024-2029) of 11.16%, leading to a projected market volume of €111.00m by 2029.
Within the Audiobooks market in Southeast Asia, the number of readers is anticipated to reach 100.2m users by 2029.
User penetration in this region will be 11.9% in 2024 and is expected to increase to 13.9% by 2029.
The average revenue per user (ARPU) in Southeast Asia is projected to amount to €0.80.
In a global context, the majority of revenue will be generated the United States, which is expected to achieve €3,161.00m in 2024.
The audiobook market in Southeast Asia is witnessing a surge in popularity, driven by increasing smartphone penetration and a growing appreciation for digital storytelling.

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

Marché

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Comparaison de régions

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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.