ePapers - Worldwide

  • Worldwide
  • Revenue in the ePapers market worldwide is projected to reach US$8.74bn in 2025.
  • Revenue is expected to exhibit an annual growth rate (CAGR 2025-2029) of 3.11%, leading to a projected market volume of US$9.88bn by 2029.
  • In the global ePapers market, the number of users is anticipated to reach 0.6bn users by 2029.
  • User penetration is forecasted to be 6.9% in 2025 and is expected to increase to 7.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$16.22.
  • In a global context, the highest revenue will be generated the United States, with US$2,722.00m expected in 2025.
  • As global digital consumption rises, the ePapers segment in the worldwide media market is increasingly favored for its convenience and accessibility.

Key regions: Japan, Europe, United States, South Korea, Germany

Market
Region
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Currency

Revenue

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Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Nov 2024

Source: Statista Market Insights

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Most recent update: Nov 2024

Source: Statista Market Insights

Advertising & Media

Access more Market Insights on advertising topics with our featured report

This report presents a comprehensive analysis and additional information on the ePapers market, in a PDF format.
Newspapers & Magazines: market data & analysis - Background Newspapers & Magazines: market data & analysis - Cover

Users

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Most recent update: Nov 2024

Source: Statista Market Insights

Global Comparison

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Most recent update: Nov 2024

Source: Statista Market Insights

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Newspapers & Magazines market, which comprises revenues from physical publications as well as digital replicas (ePapers and eMagazines). The market includes both consumer and advertising spending. 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., 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, 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). Consumer Insights data is reweighted for representativeness.

Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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