The numbers are hard to ignore. The global conversation intelligence software market is projected to reach $92.54 billion by 2035, up from an estimated $7.42 billion in the U.S. alone in 2025, according to new research from SNS Insider. That kind of growth – nearly four times over a single decade in the U.S. market – signals that AI-powered sales analytics and CRM integration are no longer nice-to-have features. They are becoming the operational backbone of modern revenue teams.

What Is Driving the Conversation Intelligence Boom?

Several forces are converging to push conversation intelligence from a sales productivity tool into a core piece of RevOps infrastructure. AI models are getting cheaper and more capable, CRM platforms are opening up deeper integrations, and sales leaders are under increasing pressure to extract measurable ROI from every customer interaction.

The U.S. market is expected to grow from $7.42 billion in 2025 to $28.76 billion by 2035. Europe, starting from a smaller base of $0.90 billion, is projected to reach $4.09 billion over the same period – a signal that regulatory environments, including data residency requirements, are shaping but not slowing adoption.

At the platform level, Salesforce is positioned as a significant beneficiary of this trend. The company has been quietly building out its AI and conversation analytics capabilities while generating record cash flow, and analysts are beginning to take notice. For go-to-market teams already invested in Salesforce, the convergence of CRM data and conversation intelligence represents a meaningful upgrade to how deals are tracked, coached, and closed.

The Untapped Pipeline Nobody Is Talking About

While the market projections are compelling, some of the most practical advice for CRM practitioners right now comes from an unexpected angle. A widely shared argument from the SaaStr community challenges the conventional wisdom around AI deployment in sales: most teams are pointing their AI agents at the wrong leads entirely.

The core insight is straightforward. When companies first deploy AI agents, they tend to route them toward hot, high-intent leads – the same leads human reps are already fighting over. The real opportunity, according to this view, sits in the leads that reps will never realistically call: the mid-funnel prospects who showed interest six months ago, the inbound requests that came in after hours, the accounts that didn’t quite fit the rep’s territory focus.

For sales pipeline managers, this reframing has immediate practical implications. Most CRMs are sitting on years of lead data that has effectively been abandoned. Conversation intelligence tools, combined with AI agents capable of autonomous outreach, can turn that dormant data into active revenue without pulling a single rep away from their primary targets.

“We tried AI agents on our hottest leads first – and it didn’t move the needle. The real wins came when we pointed the AI at the leads our reps had already written off.” – Shared experience from multiple AI-native sales teams, via SaaStr

This is not a small opportunity. For companies with large lead databases and lean sales teams, systematically working neglected segments through AI-assisted conversation flows could have a material impact on Annual Recurring Revenue (ARR) without a corresponding increase in headcount.

How CRM Platforms Are Responding

The infrastructure required to act on this opportunity is maturing rapidly. Conversation intelligence platforms are moving beyond call recording and transcription toward genuine workflow integration – automatically updating CRM records, flagging at-risk deals, surfacing coaching moments, and triggering follow-up sequences based on what was actually said in a call.

The latest generation of AI agent frameworks, such as the newly updated Hermes Agent 0.18, illustrates how quickly the underlying technology is evolving. The new version introduces a mixture-of-agents framework, where multiple specialised AI models collaborate on complex tasks. For sales and RevOps teams, this points toward a near-future where different AI models handle discovery, qualification, objection handling, and sales forecasting as distinct, coordinated functions rather than a single monolithic tool.

Even adjacent markets are absorbing this shift. RM11’s recent partnership with Concierge11 to offer a free built-in CRM for creator agencies demonstrates how CRM functionality – including lead management, account assignment, and agent coordination – is being embedded directly into platforms that previously had no CRM layer at all. The pattern is consistent: wherever there are relationships to manage and conversations to track, CRM and conversation intelligence tooling is following.

What CRM and RevOps Teams Should Do Now

For practitioners trying to figure out where to focus, the convergence of these trends points to a few concrete actions worth prioritising:

Audit your dormant lead database. Before investing in new tooling, identify the segments of your pipeline that are not being actively worked. These are often the highest-ROI targets for AI agent deployment.
Evaluate your CRM’s conversation intelligence integrations. Native integrations between your CRM and conversation intelligence tools reduce data loss and manual entry. Check our CRM Tools Directory for a current overview of platforms and their AI capabilities.
Track the right metrics. Conversation intelligence is only valuable if it feeds actionable data back into your forecasting and coaching workflows. Pay attention to how call outcomes connect to win rate and Customer Lifetime Value (LTV).
Prepare for a multi-agent world. The shift toward specialised, collaborative AI agents will require RevOps teams to think differently about workflow design. Start mapping which parts of your sales process could benefit from autonomous AI handling versus human judgment.

The $92.54 billion projection is not just a headline for investors. It is a signal that the tools available to CRM and RevOps professionals are about to become significantly more powerful – and that the teams who start building their data and workflow foundations now will be best positioned to benefit. For a deeper look at how to structure your approach, the CRM Guides section covers practical implementation frameworks worth reviewing.

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AI Conversation Intelligence Set to Hit $92.5B by 2035

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