The most important video-streaming trend for developers is not a universal move to lower latency or a newer codec. It is choosing delivery and encoding around the job: HLS and DASH remain central for internet-scale viewing, low-latency designs make sense when interaction requires them, and AV1 can improve compression only when devices can decode it reliably. The practical decision is a balance among latency, audience scale, resilience, device coverage, quality, and operating cost.
What is changing—and what is not?
HTTP-based adaptive streaming remains a durable foundation for live and on-demand video. Apple describes HLS as delivery through ordinary web servers and CDNs, with playback adapting to available network speed. MPEG-DASH remains an active standard too: ISO lists ISO/IEC 23009-1:2026, Edition 6, as published in July 2026. Its scope includes the presentation description and media segments used for adaptive delivery over HTTP. MPEG describes DASH as supporting both live and on-demand streaming.
The change is in how developers tune that foundation for particular workloads. Some services need broad reach and graceful adaptation more than the shortest possible delay; others need low-latency interaction. Codec choices are also becoming more device-aware: compression efficiency is useful only when the client can decode the stream at acceptable quality and delay.
Should you choose HLS, DASH, or WebRTC?
Start with what viewers need to do, not a protocol popularity ranking. Conventional HTTP-based delivery suits many broad live and on-demand experiences. Low-latency HLS or DASH can narrow the delay for live viewing while retaining an HTTP-based approach. Real-time transport such as RTP/WebRTC is relevant when people need especially tight feedback, as in conversational or interactive experiences. These are workload distinctions, not a universal latency ladder: the right choice depends on interaction, audience scale, and resilience requirements.
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| Approach | Where it fits | Engineering trade-off to assess |
|---|---|---|
| HLS or DASH over HTTP | Broad internet delivery for live or on-demand viewing where adaptive playback and reach matter. | Set a latency target appropriate to the viewing experience; do not add low-latency complexity without a use case. |
| Low-latency HLS or low-latency DASH | Live viewing where reducing delay matters, but an HTTP-based delivery model is still appropriate. | RFC 9317 explains that CMAF chunks can reduce dependence on full segment duration. Lower latency may cost more, reduce quality or bitrate/resolution flexibility, and make transient network problems more visible. |
| RTP/WebRTC | Conversational or interactive experiences that require especially tight feedback. | Assess the interaction requirement and operating model against the audience scale and resilience needs; the available evidence does not establish a universal scale or cost threshold. |
RFC 9317’s operational guidance is useful here: low latency is a trade-off, not a free upgrade. Shorter delivery paths and less buffering can leave less room to absorb network variation. The impact may show up as a visible interruption, reduced quality, or less flexibility in bitrate and resolution. Measure the experience that matters to your product rather than optimizing a latency number in isolation.
When is low latency worth the trade-off?
Use it when delay changes what a viewer can do: joining a conversation, responding to a live event, or interacting with a shared experience. For a documentary premiere or a conventional live programme where the audience mainly watches, ask whether shaving delay materially improves the experience. If not, robust adaptive delivery may be the better engineering target.
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Before committing to an LL-HLS, LL-DASH, or real-time architecture, define a service target in terms of the viewer’s experience and evaluate it under realistic network conditions. Consider these questions together:
- Latency: What delay can the use case tolerate? Is a response or conversation dependent on near-real-time feedback?
- Audience scale: Is the service a large one-to-many event, a small interactive session, or a mix?
- Network resilience: How much interruption or quality variation can viewers tolerate when connections fluctuate?
- Quality and adaptation: Can the delivery approach retain enough bitrate and resolution flexibility for the target devices and networks?
- Cost and complexity: What additional delivery, measurement, and operational work is justified by the latency target?
Is AV1 ready for a streaming app?
AV1 is a serious deployment option, not a safe assumption about every device. Meta’s September 2025 article, summarizing a joint white paper with Vodafone and Google, says the companies found AV1 can improve compression by 30% compared with H.264 and VP9. Treat that as the reported result of that work, not a guaranteed gain for every title, encoder, or playback condition. The same Meta article warns that many lower- and mid-tier phones in use lack hardware codec support and recommends evaluating hardware decoding and considering software decoding when hardware is unavailable.
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Codec efficiency is only one part of playback quality. Meta’s June 22, 2026 engineering account of AV1 in Messenger real-time communication describes competing constraints: multi-pass encoding can add delay, buffering can add latency, and bitrate spikes can freeze calls. Its deployment approach combines a low-complexity encoder, machine-learning-based device eligibility, adaptive codec switching, and error resilience. Those are examples of the device and network management work AV1 can require in real-time communication, not a universal recipe for every video service.
Evaluate AV1 without excluding viewers
- Establish which target devices can decode AV1 in hardware, and test software decoding where hardware support is absent.
- Test representative content and network conditions; compression results do not transfer unchanged across titles or encoding choices.
- For real-time use, include latency, bitrate spikes, and error recovery in the evaluation rather than measuring compression alone.
- Plan how playback will behave when a device is not eligible for AV1, including whether codec switching is appropriate for the product.
Meta’s September 2025 article reports that its cited work estimated “Between 70–80%” of all mobile data traffic is video content and that low- and mid-tier handsets account for “around 75%” of global handset sales. These are figures reported by Meta while discussing the joint white paper, not independently established measurements for every market or device population. They underline why a codec decision should include the actual audience’s devices, rather than assuming that a newer format is universally available.
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What do developer surveys say about adoption?
Bitmovin’s 2024–2025 Video Developer Report lists LL-HLS at 34.8%, LL-DASH at 23.9%, WebRTC at 22.8%, and 42.4% of respondents as not using low-latency streaming. These figures describe that report’s respondents; they are not representative global market shares, and they should not be read as mutually exclusive categories or proof that one approach is winning.
The Streaming Video Technology Alliance’s Low Latency Survey Report collected responses from January through July 2025 and calls its results directional because participation was self-selected. It covers how respondents define and measure latency, current and target latency, protocol use, deployment, and perceived barriers. Taken together, these reports are useful snapshots of practitioner concerns, not a census of the industry. Adoption figures should inform questions to investigate, not replace requirements analysis.
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A practical framework for choosing an architecture
- Describe the user action. Specify whether viewers only watch, interact with controls, or communicate with other participants. Define what delay would make the experience fail.
- Set the delivery context. Estimate audience shape and scale, target devices, geographic and network variability, and whether the service is live, on demand, or both.
- Choose a delivery family to evaluate. Begin with HTTP-based HLS or DASH for broad adaptive delivery; evaluate their low-latency forms when a live-viewing target requires less delay; consider real-time transport for tight conversational feedback.
- Test resilience as well as speed. Measure playback interruptions and quality changes under transient network variation, not just best-case delay. RFC 9317 warns that lower-latency designs can be more exposed to these conditions.
- Evaluate codecs against actual clients. Compare quality and bitrate efficiency with the encoding and devices you intend to support. For AV1, establish hardware-decoding coverage and test software fallback where relevant.
- Include operational cost in the decision. Account for the infrastructure and implementation work needed to achieve the latency, resilience, and device coverage targets. Keep low latency only if its user benefit warrants those costs and trade-offs.
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