16/04/2026
🟣 𝗜𝗻𝘀𝗶𝗴𝗵𝘁
In mature markets, household spending on video services is growing more slowly after a period of rapid expansion.
Competition among platforms is intensifying.
Alongside subscriber acquisition, media companies are placing greater emphasis on profitable growth, cost control, and stable cash flow.
The value of operational efficiency is rising.
📌 Sources: MoffettNathanson axios.com │ Deloitte 2026 M&E Outlook deloitte.com│ PwC 2024-2029 Global E&M Outlook pwc.com
🟣 𝗦𝘁𝗮𝘁𝘀
• The global media and entertainment market is projected to reach $3.5 trillion by 2029, with a 3.7% CAGR.
• Digital formats already account for 72% of global advertising revenue, with their share expected to rise to 80% by 2029.
• Global CTV ad investment reached $25.9 billion in 2023 and is forecast to grow at a 10.4% CAGR over the next five years, while linear TV ad spend is expected to fall to $139.1 billion in 2026
📌 Sources: PwC Global E&M Outlook 2025–2029 │ PwC Insights & Perspectives │ WARC Global Ad Trends warc.com
🟣 𝗞𝗲𝘆 𝗧𝗿𝗲𝗻𝗱𝘀
Efficiency is becoming a priority alongside scale
Major media groups are consolidating platforms and services to reduce costs and improve profitability.
Investors and management teams are paying closer attention to revenue per user, audience retention, margins, and cash flow.
Ad-supported models are strengthening free services
The role of ad-supported services, FAST channels, and hybrid monetization models continues to grow.
Distribution is becoming more complex
A single content asset increasingly requires multiple formats, language versions, rights configurations, and technical specifications across platforms and markets.
📌 Sources: PwC Global E&M Outlook 2025–2029 │ Deloitte 2026 M&E Industry Outlook │ Gracenote Data Hub 2026 gracenote.com
🟣 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆
The most practical AI use cases in media today do not create content; they support infrastructure and technical workflows.
• Server and service load forecasting
Analyzes historical data to prepare resources in advance for peak viewing demand.
• Automatic scaling and load balancing
Optimizes infrastructure usage based on real-time demand.
• Issue detection before incidents occur
Identifies early signs of problems across servers, networks, and streaming workflows before service disruption.
• Intelligent signal and content quality control
Automatically detects technical issues in video, audio, files, and streams.
📌 Sources: Deloitte 2026 Industry Outlook │ Media and Entertainment Scales AI cloud.google.com
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