Key Takeaways
- AI fraud detection systems blocked 99.7% of suspicious bets in 2023.
- Machine learning models identify bonus abuse 92% faster than manual reviews.
- AI reduced chargeback rates by 45% in iGaming platforms in 2024.
- The global AI in iGaming market was valued at USD 2.8 billion in 2023 and is projected to reach USD 15.6 billion by 2030, growing at a CAGR of 27.6%.
- In 2024, 68% of iGaming operators reported integrating AI for personalization, up from 42% in 2021.
- AI-driven iGaming solutions saw a 35% year-over-year revenue increase for top providers in Q2 2024.
- AI automates 85% of routine iGaming customer support tickets.
- Robotic process automation (RPA) with AI cuts payout processing time by 72%.
- Predictive maintenance AI reduces server downtime by 91% in iGaming.
- 82% of iGaming players prefer AI-personalized game recommendations.
- AI chatbots handle 65% of player queries in top iGaming sites, reducing response time to 2 seconds.
- Personalized AI bonuses increase player spend by 34% on average.
- AI responsible gaming tools identified 2.5M at-risk players in 2023.
- AI self-exclusion predictions have 87% accuracy, preventing overspend.
- 94% drop in excessive play sessions via AI nudges.
AI is dramatically reducing iGaming fraud and improving compliance, cutting losses and chargebacks while boosting player trust.
Related reading
01 · Category
Fraud Prevention and Security18 stats
Fraud Prevention and Security Interpretation
02 · Category
Market Growth and Adoption20 stats
Market Growth and Adoption Interpretation
03 · Category
Operational Efficiency and Automation20 stats
Operational Efficiency and Automation Interpretation
More related reading
04 · Category
Personalization and User Engagement20 stats
Personalization and User Engagement Interpretation
05 · Category
Responsible Gaming and Player Protection20 stats
Responsible Gaming and Player Protection Interpretation
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.
Helena Kowalczyk. (2026, February 13). AI In The Igaming Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-igaming-industry-statistics
Helena Kowalczyk. "AI In The Igaming Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-igaming-industry-statistics.
Helena Kowalczyk. 2026. "AI In The Igaming Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-igaming-industry-statistics.
Sources & references
92 datasets cited across this report · attribution is report-level

