ePublishing - Japan

  • Japan
  • The ePublishing market in Japan is projected to reach a revenue of ¥€4.15bn in 2024.
  • It is expected to demonstrate an annual growth rate (CAGR 2024-2027) of 2.12%, resulting in a projected market volume of ¥€4.42bn by 2027.
  • Among the various segments, eBooks holds the largest market share with a volume of ¥€2.33bn in 2024.
  • The number of readers in the ePublishing market is expected to reach 46.2m users by 2027.
  • The user penetration rate in the ePublishing market is projected to be at 35.2% in 2024.
  • The average revenue per user (ARPU) is estimated to be ¥€94.83.
  • In global comparison, in the United States is expected to generate the highest revenue of €20,190.00m in 2024.
  • In Japan, the ePublishing market is thriving with a strong focus on manga and light novels, catering to the country's avid readership.

Key regions: Japan, United States, India, Germany, United Kingdom

Comparación de regiones

Analyst Opinion

Although the ePublishing market has seen many attempts to establish popular business models (e.g., subscription-based services), the market still hasn’t succeeded in reaching a significant shift of user numbers towards subscriptions. Services offering unlimited access like Readly are lacking comprehensive portfolios of wide-reaching and popular publications such as big newspapers or magazines as those prefer to sell their electronic versions on their own. In this context, Apple could be a glimmer of hope to have the lasting traction to combine meaningful content from major publishers into one single service.


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.


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.

Visión general

  • Revenue
  • Analyst Opinion
  • Users
  • Demographics
  • Global Comparison
  • Key Players
  • Methodology
  • Key Market Indicators
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