Market Insights Digital Digital Media ePublishing

eMagazines - Russia

Russia

The eMagazines market in Russia is projected to see a significant increase in revenue, with an estimated value of US$74.97m by the year 2024.
This growth is expected to continue at an annual rate of 1.35% from 2024 to 2027, resulting in a projected market volume of US$78.05m by the end of that period.
Furthermore, the number of readers in the eMagazines market is predicted to reach 5.8m users by 2027.
This indicates a positive trend in user penetration, which is estimated to be 3.9% in 2024 and is projected to increase to 4.0% by 2027.
The average revenue per user (ARPU) is expected to be around US$13.34.
This figure reflects the average amount of revenue generated by each user in the eMagazines market.
In terms of global comparison, it is worth noting that United States is expected to generate the highest revenue in the eMagazines market, reaching a value of US$1,617.00m in 2024.
This indicates the dominant position of the United States in this market segment.
In Russia, the eMagazine market is booming with a surge in digital publications and a growing preference for online reading.

Key regions: France, India, Germany, United Kingdom, Europe

Market

Region

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Currency

Analyst Opinion

Despite the steady growth in the eMagazines market, the product will likely stay a niche product. Attempts to transfer subscription-based business models to the eMagazines market have not yet reached the anticipated impact on sales. By analogy to Video Streaming services, eMagazines subscription services often struggle with a limited portfolio of available content. Currently, the business’s hope of a breakthrough lies – again – with Apple and its new service called Apple News+.

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.