eBooks - Serbia | Statista Market Forecast

eBooks - Serbia

Serbia

Highlights

The eBooks market in Serbia is estimated to generate a revenue of US$4.58m by 2024.
It is projected to experience a compound annual growth rate (CAGR 2024-2027) of 0.46%, resulting in a market volume of US$4.64m by 2027.
Furthermore, the number of readers in the eBooks market is expected to reach 452.6k users by 2027.
The user penetration rate is anticipated to increase from 6.6% in 2024 to 6.7% by 2027.
The average revenue per user (ARPU) is estimated to be US$10.26.
In comparison to other countries, United States is expected to generate the highest revenue in the eBooks market, reaching US$5.34bn in 2024.
Despite the growing popularity of eBooks worldwide, print books continue to dominate the Serbian market due to cultural preferences and limited access to digital infrastructure.

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.