eBooks - Philippines

Philippines

Highlights

The eBooks market in the Philippines is projected to reach a revenue of US$5.25m by 2024.
This market segment is expected to show an annual growth rate of 0.44% between 2024 and 2027, resulting in a projected market volume of US$5.32m by 2027.
It is also anticipated that the number of eBook readers in the Philippines will amount to 14.1m users by 2027.
The user penetration rate, which represents the proportion of the population using eBooks market, is expected to be 11.9% in 2024 and is projected to increase to 11.8% by 2027.
Furthermore, the average revenue per user (ARPU) is expected to be US$0.38.
In comparison to other countries, United States is expected to generate the most revenue in the eBooks market, with a projected revenue of US$5.34bn in 2024.
The popularity of eBooks in the Philippines has surged in recent years, with a growing number of readers opting for digital formats over traditional printed books.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

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.