A market that barely registered a decade ago is now on a trajectory to hit $92.54 billion by 2035, and the race to own it is accelerating fast. Conversation intelligence – software that captures, transcribes, and analyses sales calls to surface revenue signals – is no longer a nice-to-have layer sitting on top of your CRM. It is quickly becoming the engine underneath it.
Clari and Salesloft Make Their Move
The most significant product announcement in the space this week came from the combined Clari and Salesloft entity, which launched Salesloft Conversation Intelligence on July 14. The product unifies buyer signals, engagement data, and sales forecast information into a single workflow, with the explicit goal of turning what reps hear on calls into immediate revenue actions.
What makes this launch notable is the underlying architecture. Rather than bolting a call recorder onto an existing CRM, the Clari-Salesloft combination is pulling together three historically separate data streams – what buyers say, how they engage between calls, and how deals are trending in the forecast – into one connected system. For RevOps leaders, this is the kind of integration that has been difficult to achieve by stitching together point solutions.
The practical implication is a shorter path from insight to action. If a buyer signals budget hesitation on a call, that signal can now flow directly into a rep’s next-step cadence and surface as a risk flag in the forecast, without anyone manually updating a field in the CRM.
Why the Market Numbers Matter to GTM Teams
The SNS Insider research underpinning the $92.54 billion projection deserves a closer look, because the regional breakdown tells a story about where adoption is currently concentrated and where it is heading.
The U.S. market alone is projected to grow from $7.42 billion in 2025 to $28.76 billion by 2035, while Europe is expected to expand from $0.90 billion to $4.09 billion over the same period.
The U.S. figure represents a nearly fourfold increase, which reflects how deeply conversation intelligence is expected to embed itself into standard go-to-market stacks. The European number, while smaller in absolute terms, represents a similar growth multiple – and the report cites regulatory factors as a driver, suggesting that compliance-oriented use cases around call recording and data handling are actually accelerating adoption in regulated markets rather than slowing it.
For teams evaluating their own tech stacks, these numbers reinforce a straightforward point: conversation intelligence is moving from competitive differentiator to baseline expectation. Teams that are not capturing and actioning call data systematically will increasingly find themselves at a disadvantage when it comes to forecast accuracy and win rate improvement.
The Untapped Revenue Hidden in Ignored Leads
While the Clari-Salesloft launch focused on optimising active pipeline, a parallel conversation happening in the SaaS community points to a different and arguably more immediate opportunity for AI in sales workflows.
Writing on Saastr, Jason Lemkin made the case that AI agents are being misdeployed by most revenue teams. The common instinct is to put AI on hot leads, where reps are already paying attention. The actual opportunity, the argument goes, is in the leads that reps will never get to – the ones that fall below the threshold of human attention because there are not enough hours in the day.
This reframes how teams should think about AI and conversation intelligence together. The combination is not just about making good reps better on active deals. It is about extending the reach of the revenue function into territory that would otherwise go untouched – pipeline that exists in the CRM but never converts because no human ever meaningfully engaged with it.
For teams thinking about customer acquisition cost, this framing is compelling. The cost of acquiring those leads has already been paid. The question is whether AI can convert a meaningful slice of them without incremental spend.
What CRM and RevOps Teams Should Do Now
Taken together, the market data and the product launches point to a set of concrete decisions that CRM and revenue operations leaders should be working through now.
- Audit your current conversation data capture. If call recordings live in a separate tool with no integration into your CRM or forecast, you are losing signal that should be informing deal decisions.
- Identify the leads your reps are not calling. Pull the cohort of leads in your CRM that received fewer than two touchpoints in the last 90 days. This is where AI-driven outreach delivers the clearest incremental return.
- Evaluate integrated platforms against point solutions. The Clari-Salesloft launch is a signal that the market is moving toward unified platforms. Teams currently using separate tools for call intelligence, engagement, and forecasting should pressure-test whether integration costs are eating into the value those tools deliver. Visit our CRM Tools Directory to compare platforms side by side.
- Factor in compliance requirements early. Especially for teams operating across European markets, call recording regulations affect what conversation intelligence tools can capture and how data must be stored. Build this into procurement rather than retrofitting it.
- Connect conversation insights to customer lifetime value metrics. The strongest case for conversation intelligence investment is not activity metrics – it is downstream revenue retention. Teams that can show how better call intelligence improves renewal conversations will find it easier to justify ongoing investment.
The conversation intelligence category has reached the point where the question is no longer whether to invest, but how to invest well. As Clari and Salesloft demonstrate with their unified platform, the competitive advantage will increasingly belong to teams that close the loop between what buyers say and what the business does next – automatically, and at scale.
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