The Forrester Wave™: Conversation Intelligence Solutions For Contact Centers, Q2 2025

Conversation Intelligence Solutions For Contact Centers Vendor Product Comparisons 2025

Key features and pros and cons of top Conversation Intelligence Solutions For Contact Centers products:

CallMiner - Leaders

Pros:

Vision sets ambitions beyond contact center operations and on more strategic CX pastures with recent innovations emphasizing deeper customer understanding and bridging the gap to actionable interventions
Strong partner ecosystem and adoption strategy sharply honed for enhancing value realization for conversation intelligence programs
Mastery of contact center workflows translated into a flexible toolkit with consistent delivery on foundational capabilities like topic and behavior classification and insights exploration
Natural language interface 'AI Assist' serves as cornerstone of new agentic AI framework

Cons:

Falls short in supporting marketing optimization efforts
Has yet to meet accessibility standards to support users with disabilities
Some customers feel quality scoring workflow reflects traditional operational models and hope vendor pioneers the next era of AI-first quality management

Cresta - Leaders

Pros:

Relentless innovation establishes it as a force to be reckoned with in the conversation intelligence market, consistently first to market with innovative genAI features
Strong adoption of genAI features among enterprise clients thanks to customizability and explainability
Market leadership stems from command of cutting-edge AI techniques enabling faster realization of the art of the possible
Few vendors come close to competitive feature set for real-time guidance
Completely reengineered previously overcomplicated pricing and packaging strategy to better meet customer needs

Cons:

Partner strategy is still nascent compared with longer-tenured vendors in this market
New dashboard builder addresses previous gaps in insights exploration, but deeper analytics workflows require navigating across multiple modules
Some companies remain cautious about adopting Cresta for quality scoring, questioning whether it meets the needs of their complex operations

Google - Strong Performers

Pros:

Vision to turn every moment of connection into brand loyalty via self-improving AI solution built on powerful in-house foundation models
Underlying AI platform provides superior flexibility and configurability for model outputs
Comprehensive tools for refining speech recognition models including word-level adjustments and custom model training
Superior control of generative AI outputs allowing users to create custom prompts for summaries and quality scorecards
Roadmap promises exciting capabilities focused on agent coaching and training based on scorecard insights

Cons:

User workflows lag in some areas, including quality form configuration which is more cumbersome than competitors
Lacks a focused adoption strategy for ensuring value realization
Reference customers admit user interface is a bit 'raw'
Customers find pricing confusing, partly attributed to complexity of their broader commercial relationship

Invoca - Strong Performers

Pros:

Only vendor in this market that excels in marketing optimization, offering specialized workflows to optimize campaigns based on in-call signals
Ahead of the curve when it comes to translating unstructured data into structured, highly actionable signals
Mastery of conversational data primed to accelerate any revenue-centered use case that touches the contact center
Wide range of technology ecosystem partners
Reference customers praise quality and stability of the Invoca team and the solution's flexibility and focus on revenue outcomes

Cons:

Has not invested in developing real-time guidance capabilities, focusing instead on supporting agents via precontact insights and post-call coaching
Lacks services partnerships

Observe.AI - Strong Performers

Pros:

Vision to lead the shift to hybrid contact centers by supporting and scaling human agents with AI
Deep expertise in complex contact center operations reflected in depth of features and customer engagement approach
Superior automated and hybrid quality scoring with roots in supporting quality teams with technology
Strong operational awareness paired with strength in driving adoption of AI-human workflows proven to be a secret weapon
Strategic investment in building a strong adoption strategy
Reference customers feel vendor is invested in their success and highly responsive to product feedback
Flexible and fair pricing approach compared with other solutions

Cons:

Underinvested in customer-facing tooling to support both speech recognition and redaction compared with peers
Evolving vision and roadmap to support broader market needs will be essential to maintain market momentum

Genesys - Contenders

Pros:

Flexible workflow automation tools enabling custom workflow widgets on the agent desktop
Superior integration capabilities with most robust and well-documented API documentation in this market
Commitment to ensuring product is accessible for users with disabilities
Methodically chipping away at gaps and making good progress based on roadmap and innovation
Unique 'AI token' usage pricing for AI features reduces barriers to experimentation and adoption
Reference customers enthusiastically praise vendor's product team and pace of innovation

Cons:

Does not lead this market from a capability standpoint
Integration with third-party telephony solutions is limited despite offering its own telephony
Major product weakness in insights exploration capabilities with limited in-product dashboards that lack expected customizability
Some customers would prefer to see all features bundled into base seat price rather than AI token model
Customers wish vendor balanced team's product knowledge with operational expertise and did more to guide on adopting AI advancements

Gridspace - Contenders

Pros:

Pioneered use of large language models in conversation intelligence market by developing own bespoke model for contact centers several years earlier than competitors
Greatest strength is integration approach providing robust developer APIs and support for real-time event streaming
Speech recognition engine is technologically advanced and accurate
Extensible architecture
Reference customers appreciate open platform, lauding flexibility and suitability for complex technological environments
Platform's compliance features and high availability valued by customers

Cons:

Roadmap is very light on detail and articulates incremental evolution from current state
Strategic attention primarily centers on AI agent solution 'Grace' which has left broader platform without clear long-term vision
Should consider expanding language support beyond English and Spanish to maintain competitive posture
In-product tooling remains in the shadows with very limited insights exploration capabilities
Scorecard creation tools too complex for typical business users
Customers recognize in-product tooling prevents full adoption among business users

NICE - Contenders

Pros:

Continues to build on strength in process automation offering tools that identify agent workflow automation opportunities
Enlighten XO module offers users paths from insights to action by using conversation data to identify opportunities for full self-service automation
Now-sharper emphasis on intelligent workflows is appropriate given product strengths
Large enterprises report close partnerships and strong collaboration

Cons:

CXone continues to be an overwhelming offering with customers struggling to identify which capabilities are required for the functionality they need
Users can't configure Enlighten AI models for understanding factors like satisfaction and sales effectiveness
Approach to instrumenting real-time redaction of call transcripts is immature compared with others in the market
Customers of all sizes have experienced 'bumpiness' in transition from sales to implementation
Customers note poor communication regarding full scope of solutions required and overselling of AI features leading to challenges during implementation

Qualtrics - Contenders

Pros:

Insights exploration capabilities are some of the strongest in this market with highly flexible in-product dashboard and report builder
Employs diverse analytics techniques to generate composite metrics that identify behaviors linked with successful outcomes
Positive feedback on new transcription model (AWS Transcribe)
Reference customers feel depth of customer experience insights is unrivaled
Plans to launch streamlined conversation intelligence solution for midsize contact centers

Cons:

Difficult to see throughline from recent innovations to new product strategy of leveraging agentic AI
Lags others in this market in AI advances and lacks experience developing customer-facing AI agent solutions
Notably lacks user-facing tools for improving transcript accuracy
Deprioritized investment in real-time guidance and offers limited agent-facing features
Reference customers are hungry for AI capabilities that minimize build effort and accelerate value

Verint - Contenders

Pros:

Focus on measurable outcomes is the right move in today's market
Strong partner ecosystem paired with skilled internal resources that support customers in strengthening adoption and advancing conversation intelligence programs
Still one of the only vendors in this market offering desktop process analytics, a key benefit for compliance-focused teams
Quality scoring solution offers robust, operations-centric workflows that allow teams to easily transition from manual to hybrid or fully automated scoring
Customers appreciate vendor team's depth of operational expertise and cite positive experiences with support resources

Cons:

Product approach results in collection of tactical, piecemeal applications without a unified platform advantage
Trigger management is onerous, requiring users to configure triggers across various modules, each with its unique UI 'language'
Despite supporting large enterprise clients, has still not prioritized conforming to accessibility standards
Customers who have not yet migrated to newer versions cite significant issues with transcription quality and feel vendor has not invested in making migration effort more seamless

FAQs

Q: Which vendors are Leaders in 2025?

A: CallMiner, Cresta

Q: What does "Leader" mean in Forrester Wave terms?

A: Leaders in the Forrester Wave are vendors that have the strongest current offerings and strategies in the market. For this conversation intelligence solutions evaluation, Leaders demonstrate excellence in foundational capabilities while also showing vision and innovation that addresses the transformative shifts shaping the future of contact centers. They focus on outcomes beyond operational efficiency, activate conversational data across the enterprise, and have a clear vision for supporting AI-led interactions and hybrid workforces. Leaders are positioned in the upper-right quadrant of the Wave graphic, indicating strong performance in both current offering and strategy dimensions.

Q: How do I interpret a Forrester Wave?

A: https://www.forrester.com/policies/forrester-wave-methodology/

Report:

Top Vendor Products for Conversation Intelligence Solutions For Contact Centers in 2025

Conversation Intelligence Solutions For Contact Centers Vendor Product Comparisons 2025

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FAQs

Q: Which vendors are Leaders in 2025?

Q: What does "Leader" mean in Forrester Wave terms?

Q: How do I interpret a Forrester Wave?

Reference