ePublishing - Eastern Europe

Eastern Europe

In 2024, the ePublishing market in Eastern Europe is projected to reach a revenue of US$572.90m.
This market is expected to experience an annual growth rate of 2.63% from 2024 to 2027, resulting in a projected market volume of US$619.30m by 2027.
Among the various segments within the ePublishing market, ePapers Advertising holds the largest market share with a volume of US$151.20m in 2024.
Looking specifically at the number of readers, it is estimated that the ePublishing market will have 34.6m users readers by 2027.
The user penetration rate in this market is predicted to be 13.8% in 2024.
On average, each user is expected to contribute an average revenue of US$16.99.
Comparatively, United States is projected to generate the highest revenue, reaching US$21,770.00m in 2024, in the global ePublishing market.
In Eastern Europe, the ePublishing market is rapidly growing, with countries like Poland and Russia leading the way in digital book consumption.

Key regions: India, South Korea, United Kingdom, China, United States

Market

Region

Region comparison

Currency

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.

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.