RELATED SERVICE:
Extended Reality (XR) Markets
Actionable Benefits
- Identify key use cases for AI/ML in M&E, from compression efficiencies to personalization and workflow optimizations.
- Evaluate the impact of AI/ML in M&E and assess opportunities to generate efficiencies, reduce costs, and increase yield.
- Determine a timeline for future applications of AI/ML, enabled by upcoming technologies like XR.
Research Highlights
- Detailed breakdown of key use cases for AI/ML in the M&E space.
- Assessment of current and longer-term (beyond 5-year forecast window) market potential and impact for AI/ML in M&E.
- Market sizing for ad tech market (total and video ad tech).
- Market sizing for personalization and use of AI/ML in media workflows.
Critical Questions Answered
- Where is AI/ML being used today in the M&E market? In what capacity and to what effect?
- How is AI/ML helping companies adapt to the changing M&E landscape?
- How big I the market opportunity for personalization (premium content/services and advertising) and content contextualization?
Who Should Read This?
- Service and content managers responsible for maintaining (i.e. reducing churn) or growing the customer base and spend.
- Solutions vendors who need to assess current product offerings for any shortcomings and plan for future customer needs and demands.
- Planners within telcos and network operators who need to identify future transformative trends and its impact on the network and the needs of its customers.
Companies Mentioned
