1、T H E 9 T HA N N U A LB I T M O V I NV I D E OD E V E L O P E RR E P O R T2025/2026 EditionWelcomeKey findingsMethodologyT H E S T A T E O F T H E S T R E A M I N G I N D U S T R YThe biggest challengesInnovation and prioritiesAI and machine learningV I D E O E N C O D I N GVideo EncodingVideo codec

2、sAudio codecsLive streaming formatsDistribution streaming formatsLow-latency streamingContent-aware encoding468121416 20222325262729C O N T E N T SV I D E O P L A Y E RPlatforms and devicesPlayer codebaseDevelopment frameworksV I D E O A N A LY T I C SVideo analytics providersVideo analytics dataVid

3、eo performance metricsDevelopment time spentInvestigating streaming-related issuesM O N E T I Z A T I O N,C O N T E N T P R O T E C T I O N A N D D I S T R I B U T I O NMonetization modelsAd architectureCDN SolutionContent protection 323435 3840414243 4647495054SSAI continues to lead in ad delivery

4、architectures.We are also excited about the future of SGAI as the new architecture trend that enables richer user experiences.Beyond the survey findings,multi-cloud strategies are beginning to gain relevance across the industry as a way to increase resiliency and flexibility.The narrative has clearl

5、y evolved from experimentation to optimization.Another major takeaway is that AI adoption is no longer experimental,it is strategic and ROI-driven.From accessibility to discovery,personalization to recommendations,AI is being deployed where it delivers measurable impact.Speech-to-text,tagging,and us

6、er experience enhancements are leading the way,while generative AI use remains limited.The message is clear.AI is maturing fast,and video workflows are already reaping the benefits.Despite all this innovation,reaching every screen with a consistent quality of experience remains a constant challenge.