Key Takeaways
- Attractions industry employs 12 million globally
- U.S. theme parks employ 700,000 seasonally
- 60% of jobs are part-time in attractions
- The global attractions industry was valued at $192.3 billion in 2022
- The attractions market is projected to grow at a CAGR of 4.5% from 2023 to 2030
- North America holds 35% of the global attractions market share in 2022
- Chimelong China 2022: 14.6 million
- Disney global parks revenue $32.5 billion FY2022
- Universal Studios revenue $8.7 billion 2022
- Global attractions to invest $50 billion in tech by 2030
- Sustainability initiatives in 80% of major parks by 2023
- VR/AR experiences in 50% of top attractions by 2025
- Worldwide theme parks saw 375 million visitors in 2019 pre-COVID
- Disney parks global attendance 2022: 112 million
- Universal Orlando 2022: 21.3 million visitors
Attractions employ 12 million worldwide, with 40% annual turnover in seasonal roles and rapid growth through tech.
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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.
David Sutherland. (2026, February 13). Attractions Industry Statistics. Gitnux. https://gitnux.org/attractions-industry-statistics
David Sutherland. "Attractions Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/attractions-industry-statistics.
David Sutherland. 2026. "Attractions Industry Statistics." Gitnux. https://gitnux.org/attractions-industry-statistics.
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