Video Streaming (SVoD) - Indonesia

Indonesia

Highlights

In 2024, the revenue in the Video Streaming (SVoD) market) market in Indonesia is projected to reach US$354.10m.
It is expected to show an annual growth rate (CAGR 2024-2027) of 10.56%, resulting in a projected market volume of US$478.60m by 2027.
When compared globally, United States is expected to generate the highest revenue in the Video Streaming (SVoD) market) market, amounting to US$43.97bn in 2024.
In Indonesia, the average revenue per user (ARPU) in the Video Streaming (SVoD) market) market is projected to be US$16.30 in 2024.
Furthermore, the number of users in the Video Streaming (SVoD) market) market is expected to reach 26.3m users by 2027.
The user penetration rate, which indicates the percentage of the population using video streaming services, will be 7.6% in 2024 and is expected to increase to 9.0% by 2027.
Indonesia's video streaming market has witnessed a surge in local content production and consumption, driving the growth of SVoD platforms in the country.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Video-on-Demand market. Video-on-demand is defined as premium over-the-top video-on-demand (VoD) content distributed over the internet. This includes pay-per-view (TVoD), video downloads (EST), and video streaming (SVoD). 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.