Cvent Connect 2025 delivered a clear message: artificial intelligence is reshaping how organizations plan, execute, and analyze their events. The annual conference for Cvent, a leading event management platform provider, showcased CventIQ—a comprehensive AI suite designed to streamline everything from small local gatherings to major corporate conferences.
Rather than positioning CventIQ as a standalone product, Cvent integrated these AI capabilities across four strategic areas that directly address common pain points in event management. For business leaders evaluating event technology investments, these announcements signal a significant shift toward AI-powered automation and personalization in corporate events.
According to Forrester, a prominent technology research firm, these developments come at a crucial time. Their latest research reveals that 79% of event leaders are prioritizing personalization this year—a 4% increase from the previous year—while 59% of organizations plan to increase their smaller field events over the next 12 months.
Here are the 5 most significant AI-powered announcements from Cvent Connect 2025:
Cvent officially launched Cvent Essentials, a simplified platform designed specifically for field teams managing smaller, local events. This addresses a common challenge: maintaining consistency and data quality across decentralized event programs.
The timing proves strategic. Many organizations struggle with field teams using disparate tools for local events, creating data silos and inconsistent attendee experiences. Cvent Essentials standardizes this process while capturing valuable data that previously went unmeasured.
The platform will integrate with Events+, Cvent’s broader event management suite that includes webinar capabilities. This integration encourages organizations to centralize their event programs under unified management, potentially improving both efficiency and data insights.
However, this announcement raises questions about Cvent’s positioning of Splash, another platform in their portfolio focused on smaller events. The differentiation between these offerings will likely determine adoption rates among existing customers.
Cvent unveiled plans to apply CventIQ to their global contact profiles, enabling “discovered interests” identification and dynamic audience segmentation. This technology analyzes attendee behavior patterns to automatically create personalized event experiences without manual intervention.
For event planners, this means moving beyond basic demographic targeting to sophisticated behavioral predictions. The system can identify which sessions an attendee might prefer, suggest relevant networking connections, or recommend specific content based on engagement patterns from previous events.
This development directly responds to growing attendee expectations for personalized experiences. Modern event participants increasingly expect the same level of customization they receive from consumer platforms like Netflix or Spotify.
The business impact extends beyond attendee satisfaction. Better personalization typically drives higher engagement rates, increased session attendance, and improved post-event survey scores—metrics that directly correlate with event ROI.
Perhaps the most ambitious announcement involved Cvent’s personalized AI assistant, powered by a hierarchy of specialized agents. These include an event expert for logistical questions, a brand ambassador for company-specific information, a content curator for session recommendations, and a network navigator for connection suggestions.
While the technical architecture involves multiple connected agents, attendees interact with a single, unified interface. This approach allows for more sophisticated responses than traditional chatbots, which often struggle with complex or multi-faceted questions.
The challenge lies in adoption rates. Forrester data indicates that only 22% of event planners and marketers currently offer or plan to offer AI-powered attendee assistance within the next 12 months. Success will depend heavily on implementation quality and attendee acceptance of AI-driven support.
Early adopters will likely see competitive advantages through improved attendee satisfaction and reduced support staff workload during events.
Cvent announced significant improvements to their analytics suite, including natural language report generation, enhanced session analysis, cross-event analytics, and predictive registration analytics (launching later this year).
Natural language report generation allows event planners to request insights using plain English queries like “Show me engagement trends for our Q3 events” rather than navigating complex dashboard interfaces. This democratizes data access for team members without technical expertise.
Cross-event analytics provides the ability to identify patterns and trends across an organization’s entire event portfolio, rather than analyzing events in isolation. This capability proves particularly valuable for enterprises running multiple events annually.
Predictive registration analytics represents perhaps the most practically useful feature, helping planners forecast attendance patterns and optimize venue sizing, catering, and staffing decisions.
These improvements address a significant gap in Cvent’s previous offerings, bringing their analytics capabilities closer to enterprise-grade business intelligence tools.
Cvent focused heavily on supporting “tier one events”—large-scale, high-stakes conferences that require sophisticated planning and execution capabilities. Three announcements stood out in this category.
First, integration with LinkedIn allows event promotion using existing audience segments directly within the Cvent platform. This eliminates the need for manual export-import processes and ensures consistent messaging across promotional channels.
Second, Cvent expanded travel booking capabilities beyond air travel to include rail options. While only 38% of event leaders currently cite environmental impact as a priority, younger attendees increasingly value sustainable travel options. This feature positions Cvent ahead of growing sustainability demands.
Third, and perhaps most significantly, Cvent introduced a “data bridge” offering real-time access to event data with flexible synchronization options. This addresses a critical need for enterprises that want to integrate event data with their broader business intelligence systems.
The data bridge functionality proves particularly important given that leading enterprises often prefer to extract and manipulate event data outside their event platform using their preferred analytics tools.
These announcements collectively signal Cvent’s evolution from a traditional event management platform to an AI-powered business intelligence system for events. For organizations evaluating event technology investments, several considerations emerge.
Companies running multiple events annually will likely see the most immediate value from cross-event analytics and predictive capabilities. The AI assistant functionality may prove most valuable for large conferences where attendee support demands typically strain staff resources.
However, successful implementation will require careful change management. Event teams must adapt to new AI-powered workflows while maintaining the personal touch that makes events effective relationship-building tools.
The competitive landscape will likely see similar AI integration from other event management platforms, making early adoption potentially advantageous for organizations seeking differentiation in their event experiences.
For enterprise clients already invested in the Cvent ecosystem, these enhancements provide compelling reasons to deepen their platform usage rather than explore alternatives. The integrated approach across the entire event lifecycle creates switching costs while delivering genuine operational improvements.