Free ad-supported streaming TV (FAST) - Brunei Darussalam

Brunei Darussalam

Highlights

The projected revenue in the Free ad-supported streaming TV (FAST) market) market in Brunei Darussalam is expected to reach US$120.10k by 2024.
This represents a significant increase in revenue, with an annual growth rate (CAGR 2024-2027) of 8.56%.
As a result, the projected market volume is expected to reach US$153.60k by 2027.
In comparison to other countries, United States is anticipated to generate the highest revenue in the Free ad-supported streaming TV (FAST) market) market, reaching US$7.75bn in 2024.
This highlights the dominance of the United States in this market segment.
The average revenue per user (ARPU) in the Free ad-supported streaming TV (FAST) market) market is projected to be US$1.67 in 2024.
This metric provides insight into the amount of revenue generated by each individual user in the market.
Furthermore, the number of users in the Free ad-supported streaming TV (FAST) market) market is expected to reach 72.8k users by 2027.
This indicates the growing popularity and adoption of this form of streaming TV among consumers.
In terms of user penetration, which measures the percentage of the total population using the Free ad-supported streaming TV (FAST) market) service, it is projected to be 15.9% in 2024.
However, it is expected to slightly decrease to 15.7% by 2027.
This suggests that while the market continues to grow, the rate of adoption may slow down slightly in the coming years.
Brunei Darussalam's Free ad-supported streaming TV (FAST) market is gaining momentum, with a surge in local content and increased viewership among tech-savvy millennials.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The free ad-supported streaming TV market is currently experiencing significant growth, as more viewers look for cost-effective alternatives to traditional cable TV. To keep up with demand, many services are expanding their content offerings, including original programming and live sports. Additionally, the use of targeted advertising is becoming more sophisticated, with services leveraging data and analytics to deliver personalized ad experiences to viewers. As a result, the free ad-supported streaming TV market is expected to continue to grow and evolve in the coming years.

The free ad-supported streaming TV market is being driven by a number of key factors. First, the rise of connected devices like smart TVs, streaming boxes, and mobile devices has made it easier for viewers to access free streaming content. Additionally, the availability of high-quality content from established networks and studios has made free streaming services more appealing to viewers. Furthermore, advancements in ad targeting and personalization have made it easier for advertisers to reach specific audiences, driving increased investment in the free ad-supported streaming TV market. Finally, the growing trend of "cord-cutting" - or canceling traditional cable TV subscriptions - is expected to continue, further fueling growth in the free ad-supported streaming TV market.

The free ad-supported streaming TV market is expected to continue its growth trajectory in the coming years, growing at a CAGR of 9.10% until 2027.

Data coverage:

Data encompasses enterprises (B2B). Figures are based on advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers video ad formats from services that offer free content supported with advertisements.

Modeling approach:

Market size is determined by a combined top-down and bottom-up approach. We use market data from industry reports and survey results from our primary research (e.g., Statista Global Consumer Survey) to analyze the markets. Then we benchmark key countries or regions (United States, China, Europe, Asia, and Africa) results with country-specific advertising organizations or associations. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, internet users, and digital consumer spending.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market. For instance, the S-curve function is well suited to forecast digital products due to the non-linear growth of technology adoption, whereas exponential trend smoothing (ETS) is more suited for projecting steady growth in traditional advertising markets.

Additional notes:

Data is modeled using current exchange rates. The impacts of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice per year in case market dynamics change.