Key Takeaways
- 75% of attendees at meetings are decision-makers or influencers
- Average meeting attendee age is 42 years, with 55% male and 45% female
- 85% of event attendees report better engagement at hybrid events vs pure virtual
- U.S. meetings industry supported 5.9 million jobs indirectly in 2019
- Every $1 spent on meetings generates $6.10 in economic activity in Canada
- UK business events industry contributes £61 billion to GDP and supports 3 million jobs
- The global meetings and events industry generated $1.1 trillion in economic impact in 2019 before the pandemic
- The U.S. meetings industry contributes over $900 billion annually to the economy, supporting 2.8 million jobs
- Projected global events industry market size to reach $2.5 trillion by 2028 with a CAGR of 11.2%
- 58% of events aim for net-zero emissions by 2030
- 73% of attendees willing to pay 5-10% premium for green events
- Plastic-free initiatives in 45% of major conferences 2023
- 65% of organizations use AI chatbots for event registration
- 89% of events now offer virtual/hybrid options post-2022
- Event apps used by 72% of attendees, boosting engagement 3x
Hybrid events deliver stronger engagement, with most attendees valuing networking, sustainability, and personalized experiences.
Related reading
Attendee Demographics & Behavior
Attendee Demographics & Behavior Interpretation
More related reading
Economic Impact
Economic Impact Interpretation
More related reading
Market Size & Growth
Market Size & Growth Interpretation
More related reading
Sustainability & Future Trends
Sustainability & Future Trends Interpretation
More related reading
Technology Adoption
Technology Adoption Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Julian Richter. (2026, February 13). Meetings Industry Statistics. Gitnux. https://gitnux.org/meetings-industry-statistics
Julian Richter. "Meetings Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/meetings-industry-statistics.
Julian Richter. 2026. "Meetings Industry Statistics." Gitnux. https://gitnux.org/meetings-industry-statistics.
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