$150 million
Connected TV Ad Spend (USD)
Projected total expenditure on CTV advertising in Myanmar for 2026
65%
Digital Ad Penetration
Percentage of Myanmar population reachable via digital advertising channels in 2026
2 hours 15 minutes
Average CTV Viewership Time
Average daily time spent by users on connected TV platforms in Myanmar
12.4 million
Number of CTV Users (millions)
Estimated number of connected TV users in Myanmar in 2026
$12.10
Ad Revenue per User (USD)
Average advertising revenue generated per connected TV user in Myanmar in 2026
Myanmar's connected TV advertising market is experiencing rapid growth, driven by increased internet penetration and affordable smart TV options. The projected ad spend of $150 million reflects a significant shift from traditional media to digital platforms, with consumer engagement deepening through personalized content. As more households adopt connected TV devices, advertisers are capitalizing on targeted advertising opportunities to reach Myanmar’s expanding digital audience.
Myanmar's digital infrastructure improvements and rising smartphone ownership are fueling connected TV consumption. The average user spends over two hours daily on these platforms, indicating strong engagement. With over 12 million users, advertisers are seeing higher ROI, leading to increased investments. This growth signifies Myanmar's transition towards a digital-first advertising environment, creating new opportunities for brands to connect with consumers in innovative ways.
Frequently Asked Questions
What is the main driver of connected TV advertising growth in Myanmar?
Increasing internet access, affordable smart TVs, and changing consumer viewing habits are primary factors fueling the growth of connected TV advertising in Myanmar.
How much do advertisers spend on connected TV ads per user in Myanmar?
On average, advertisers spend about $12.10 per connected TV user annually, reflecting the platform's growing importance in digital marketing.
Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.