Market Insights Advertising & Media Media Newspapers & Magazines

Digital Newspapers & Magazines - Indonesia

Indonesia

Indonesia is projected to reach revenue of US$246.40m in the Digital Newspapers & Magazines market by 2024.
The market is expected to grow annually at a rate of 2.40% between 2024 and 2029, reaching a market volume of US$277.40m by the end of the period.
The number of users in Digital Newspapers & Magazines is forecasted to reach 44.6m users by 2029.
User penetration is set to be 14.7% in 2024 and is anticipated to increase to 15.4% by 2029.
The average revenue per user (ARPU) is expected to be US$5.97.
When compared globally, the in the United States is projected to generate the highest revenue of US$16,430.00m in 2024.
In the year 0, a share of 0.0% of users is in the 0.0% group, and a share of 0.0% of users is 0.0%.
The rise of digital newspapers & magazines in Indonesia reflects the country's tech-savvy population and growing internet penetration.

Key regions: China, Japan, Europe, India, South Korea

Market

Region

Region comparison

Currency

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.