Networking is consistently identified as the prime value proposition for attendees. Despite this overwhelming demand, traditional methodologies often fail in conversion, with only about 38% of event contacts successfully converting into lasting business relationships. This gap, high demand paired with poor conversion, is precisely what AI technology is designed to solve.

From chance encounters to precision matchmaking

The event networking and matchmaking software market specifically reflects this trend, valued at approximately USD 9.06 billion in 2024 and expected to grow to USD 13.76 billion by 2033, demonstrating the focus on efficiency in communication and engagement. AI matchmaking leverages advanced algorithms, often incorporating machine learning (ML), natural language processing (NLP), and predictive analytics, to ensure that networking opportunities are intentional and highly relevant, rather than random or inefficient. Event technology platforms incorporate Business Matching solutions specifically designed to foster meaningful connections between event stakeholders.

Attendee matchmaking is a layered system that turns raw identity and behavior data into prioritized introductions. A practical architecture looks like this:

This stack is already being adopted at scale: about 45% are applying AI specifically to attendee/sponsor matchmaking, evidence that the industry is moving beyond proofs-of-concept to operationalized matchmaking.

The process begins with data collection and detailed profile building, where attendees provide information during registration, such as their professional background, areas of interest, and specific networking goals. AI algorithms analyze this data, potentially pulling from past event interactions or CRM systems, to identify optimal connections through methods like Similarity Matching (common goals/interests) and Complementary Skills Matching (mutually beneficial expertise). The result is personalized networking recommendations, which maximize the value attendees derive from networking, and often lead to an increase in attendee satisfaction by 20%.

The AI-supported future

The overarching conclusion is that the future of event networking is not driven by AI, but is AI-supported. AI tools serve to make human interactions more effective, deliberate, and impactful by clearing away the complexity and friction that distracts from meaningful human connection. The goal remains to empower event professionals to focus on essential human skills, such as reading the room, building trust, and responding with empathy, that no algorithm can replicate.

Strategic success requires event organizers to continually balance innovation with ethical responsibility. By adopting AI with clear intention and maintaining a rigorous ethical framework that protects attendee privacy and ensures fairness, organizations can harness the full power of technology to create highly successful and memorable event experiences.

This is where Enjoee’s Business-to-Connect functionality truly shines. It’s designed to help attendees identify and connect with the right people for their specific business goals, whether that’s finding collaborators, clients, or industry mentors. The platform goes beyond generic matchmaking by analyzing interests, roles, and objectives to suggest introductions that are both relevant and actionable. For organizers, it means higher engagement and measurable outcomes; for participants, it means every event becomes an opportunity to build real, valuable relationships efficiently.

Discover how enjoee.it can elevate your next event with AI-driven, business-focused connections.