Market Insights Digital Digital Media ePublishing

eBooks - Southeast Asia

Southeast Asia

The eBooks market in Southeast Asia is projected to witness a significant growth in revenue, with an estimated value of US$193.50m in 2024.
This market is expected to display a steady annual growth rate (CAGR 2024-2027) of 3.25%, resulting in a projected market volume of US$213.00m by 2027.
Furthermore, the number of readers in the eBooks market is anticipated to reach 63.4m users by 2027.
This growth in readership reflects a promising trend in the market.
In terms of user penetration, it is predicted to be 8.1% in 2024 and is expected to increase to 8.9% by 2027.
This indicates a growing adoption of eBooks market among the population in Southeast Asia.
The average revenue per user (ARPU) is projected to amount to US$3.43.
This metric highlights the potential profitability of the market and the value derived from each user.
In a global comparison, United States is expected to generate the highest revenue in the eBooks market, with an estimated value of US$5,336.00m in 2024.
This demonstrates the dominant position of the United States in the global eBook market.
In Singapore, the eBook market is booming, with a wide range of local and international titles available to cater to the diverse reading preferences of its tech-savvy population.

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

Market

Region

Region comparison

Currency

Analyst Opinion

In comparison to physical books, eBooks are often sold for quite high prices, and consumers do not actually benefit from the cost reduction that comes from low printing and distribution expenses. This circumstance curbs the eBooks market’s growth potential heavily, although the general adaption among consumers is still consistently growing.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the ePublishing market. ePublishing is defined as paid editorial/written content distributed over the internet, including eBooks (fiction, non-fiction, and academic publications), digital editions (replicas) of consumer and trade/business magazines (eMagazines), as well as daily or weekly newspapers (ePapers). All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. This spending factors in discounts, margins, and taxes.

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., the Statista Global Consumer Survey), 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, and 4G coverage.

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). GCS data is reweighted for representativeness.