Market Insights Digital Digital Media Video-on-Demand

Video Downloads (EST) - Malaysia

Malaysia

The Video Downloads (EST) market) market in Malaysia is predicted to witness a significant increase in revenue, with projections indicating it will reach US$13.62m in 2024.
Furthermore, it is expected to display an annual growth rate (CAGR 2024-2027) of 2.09%, resulting in a projected market volume of US$14.49m by 2027.
When compared to other countries globally, United States is expected to generate the highest revenue in the Video Downloads (EST) market) market, amounting to US$1,911.00m in 2024.
In terms of average revenue per user (ARPU), the projected amount for the Video Downloads (EST) market) market in Malaysia is US$4.00 in 2024.
Additionally, the number of users in the Video Downloads (EST) market) market is anticipated to reach 3.6m users by 2027.
The user penetration rate in Malaysia is estimated to be 10.0% in 2024, with expectations of it reaching 10.2% by 2027.
"Malaysia's video download market is experiencing a surge in demand, driven by the increasing popularity of local content and the widespread adoption of high-speed internet."

Key regions: United Kingdom, Asia, Germany, France, Japan

Market

Region

Region comparison

Currency

Analyst Opinion

Unlike the Music Downloads market, the demand for video downloads is not completely strangled by the possibility to access the same content by streaming it. This paradox arises from a fundamental distinction in consumers’ expectations towards both content types. While Music Streaming services need to offer all kinds of music without leaving any gaps, Video Streaming services can only cover selected parts of genres and studios or distinguish themselves with own productions. This circumstance, combined with geo-blocking, makes it necessary to stick to downloading videos.

Methodology

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.