Accenture research highlights that 86 percent of consumers prefer a unified streaming platform, while live TV viewing has declined to 45 percent. The report suggests broadcasters must transition to modular, cloud-native architectures and integrate generative AI to remain competitive against tech-native ecosystems.
The shift toward unified platforms suggests that the traditional channel-based broadcast model is losing its grip on audience attention. As consumers prioritize convenience and integrated discovery, broadcasters must move away from siloed technology stacks toward modular, cloud-native foundations to avoid obsolescence. This transition forces a convergence of content strategy and technical infrastructure, where metadata and APIs become as critical as the programming itself. The competitive landscape is no longer defined by individual shows but by the ability to maintain a presence within AI-driven discovery interfaces. Watch for whether broadcasters begin aggressive M&A or partnership strategies to build the single destination ecosystems that 41% of their audience is now willing to fund.
The push toward unified streaming experiences is not limited to consumer preference data. Bitmovin's annual Video Developer Report, published in September 2026, found that 98 percent of video professionals now use AI or ML in their workflows, with 46 percent employing AI tools daily, signaling that the infrastructure layer beneath streaming platforms is already being rebuilt around intelligent automation. Low latency for live streaming overtook cost control as the top challenge for video teams, cited by 36 percent of respondents, while 28 percent plan to adopt Media over QUIC within 12 months. These shifts in developer priorities align with the Accenture finding that consumers expect a single, frictionless destination for all media.
On the business side, the competitive pressure to deliver unified experiences is driving platform vendors to bundle capabilities that were previously sold separately. Mux launched Mux Robots in 2026, a first-party AI API that runs moderation, summarization, and Q&A jobs natively alongside stored video assets, eliminating the need for developers to manage external LLM keys or orchestration infrastructure. The product evolved from an open-source TypeScript toolkit called @mux/ai, released in December 2025, which handled glue code between Mux assets and AI providers. That progression from open-source library to managed API mirrors the broader industry pattern Accenture identifies: broadcasters must move from assembling point solutions toward integrated, cloud-native stacks.
Independent comparisons of video platform vendors confirm that the market is splitting along the same lines Accenture describes. A 2026 analysis of managed video APIs found that Mux leads on developer ergonomics and bundled AI features like auto-chaptering and semantic search, while Bitmovin dominates enterprise and broadcast workloads with deeper codec coverage and DRM packaging. The same analysis noted that Cloudflare Stream targets cost-sensitive VOD teams, AWS IVS focuses on low-latency interactive live, and api.video serves pay-as-you-go integrations. For broadcasters evaluating how to build the unified platforms that 86 percent of consumers now demand, the vendor landscape offers distinct trade-offs between speed of integration and depth of control, with no single provider covering every requirement end to end.
A 2025 Accenture report reveals that 86% of consumers desire a unified streaming platform, while live TV viewing has declined to 45%. This shift highlights that traditional broadcast models are losing relevance. To remain competitive, broadcasters must transition to cloud-native architectures and integrate generative AI to meet modern audience demands.
According to Accenture research, 86% of consumers want a single destination for all their media services, and 41% are willing to pay for such a unified entertainment platform.
Live TV viewing fell to 45% of total identified TV set usage by December 2025, while on-demand streaming accounted for 38% of usage for the year.
While only 3% of media organizations have a clear vision for generative AI, some are experimenting with it. For example, ESPN is testing AI-generated avatars to provide analytics-led commentary for college football coverage.
Although 60% of executives claim digital maturity, 88% of media organizations still rely on rigid technology stacks that prevent the adaptability needed to compete with tech-native ecosystems.
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