Conversational AI

AI codecs: Why bit rate matters for media

Telnyx HD voice codecs support the bit rate needed for media streaming when building conversational AI.

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By Marlo Vernon
AI codecs for media

Contact our team of experts to learn how Telnyx’s carrier-grade network can provide the foundation you need to build next-level conversational AI.

The conversational AI boom and the codec gap

The global conversational AI market is on a steep growth curve — but infrastructure gaps are holding teams back.

According to MarketsandMarkets, 2024, the Global Conversational AI Market reached $10.7B in 2022 and is projected to hit $49.9B by 2028 — a 366% increase over 6 years. By 2025, the market was already at $24.9B, signaling that adoption isn't slowing.

Global Conversational AI Market (USD Billion)

Global Conversational AI Market (USD Billion) — Source: MarketsandMarkets, 2024

This trajectory has real implications for how teams evaluate infrastructure. As demand scales, the cost of doing nothing — or doing it wrong — compounds quickly. Teams that invest in purpose-built solutions now are establishing leads that will be difficult to close later.

The data reflects a structural shift, not a hype cycle. Decision-makers who have historically treated these capabilities as optional are now treating them as table stakes. Procurement timelines are compressing, and teams that can move fast with reliable infrastructure are capturing disproportionate market share.

For businesses building on Telnyx, this growth creates a clear opportunity. Our network is architected to scale alongside demand — so whether you're handling thousands of requests today or millions next year, the foundation is already in place.




Building for the future of communication means building on infrastructure that scales without friction.

Yianni Economidis, Founder & CTO @ Telnyx


Understanding these market dynamics is one thing; acting on them is another. The pages that follow break down exactly how to translate this growth into practical advantage — with real use cases, benchmarks, and implementation guidance grounded in what's actually working across our customer base.

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