New 2026 insights report: What actually makes a good voice agent

We surveyed 455+ builders from Amazon, Microsoft, Replicant, and leading voice AI companies to uncover the gap between voice agent confidence and execution—and what winning teams do differently.

Voice agents are no longer experimental.The market is exploding from $2.4B in 2024 to a projected $47.5B by 2034, with voice AI funding surging 8x in a single year. Yet despite this momentum, user satisfaction remains stubbornly low.

Our brand-new 2026 Voice Agent Insights Report reveals why this gap exists and what separates successful implementations from failed ones. The core finding: winning teams aren't the ones with the biggest budgets or most advanced models. They're the ones who solved fundamental user experience problems first.

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Key questions answered in this report:

• What's driving voice agent adoption across industries?
• Why do users still abandon voice agents despite massive market investment?
• What technical and economic decisions separate winners from struggling teams?
• Where is the voice agent market heading in 2025 and beyond?

The numbers tell a clear story

82.5% of builders feel confident building voice agents, yet 75% struggle with technical reliability barriers. This confidence trap reveals a critical disconnect: teams know how to build, but they underestimate how accuracy failures, integration challenges, and cost constraints reinforce each other in production.

Critical insights from the report:

• 87.5% are actively building voice agents (not just researching)
• 55% cite "having to repeat themselves" as the #1 user frustration
• 76% rate speech-to-text accuracy as critical to success
• 44% choose hybrid build approaches over fully custom or third-party solutions
• 47.5% target >95% transcription accuracy as their primary KPI

The experience gap is real: More than half of users struggle with the "repeat yourself" problem. When the system mishears their input, users rephrase, the system still doesn't understand, and users give up or demand a human. When your core promise is convenience and efficiency, forcing users to repeat themselves destroys all value.

Teams prioritize quality over cost—every time. The 14-point gap between speech-to-text accuracy (76%) and cost-effectiveness (62%) reveals what actually drives successful implementations. A cheap but inaccurate agent creates more problems than it solves.

Voice agents will become the primary interface within 2–5 years according to survey respondents. The companies that win will be the ones that solved the foundational problems early—not the ones scrambling to retrofit accuracy onto cost-optimized architectures.

Explore the full What Actually Makes a Good Voice Agent Report to discover detailed insights from Amazon, Microsoft, Replicant, and 450+ builders about the technical decisions, economic tradeoffs, and user experience principles that separate successful voice agent implementations from failed ones.

Click here to access the report now →