ePublishing - Paraguay

Paraguay

The ePublishing market in Paraguay is projected to reach a revenue of US$37.94m in 2024.
It is expected to experience an annual growth rate of 3.64% (CAGR 2024-2027), resulting in a projected market volume of US$42.23m by 2027.
Among the various segments in the ePublishing market, ePapers Advertising holds the largest market share with a volume of US$23.58m in 2024.
Looking specifically at the number of readers, it is anticipated that the ePublishing market in Paraguay will have approximately 1.3m users readers by 2027.
User penetration, which measures the percentage of the population using ePublishing market services, is expected to be at 17.5% in 2024.
The average revenue per user (ARPU) in the ePublishing market is projected to be US$28.96.
In a global comparison, United States is forecasted to generate the highest revenue in the ePublishing market, reaching US$21,770.00m in 2024.
Paraguay's ePublishing market is thriving due to the increased accessibility of digital books and the growing demand for local literature.

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.