Report

AI in iGaming: What the Industry Is Actually Doing

The iGaming industry has moved past the question of whether to adopt AI. The question now is how deeply and whether operators can measure the results. This research gives you both the adoption picture and the outcome data, across every major use case in the sector.

The Most Comprehensive Look at AI/ML Adoption in iGaming

Based on responses from operators and platform providers across the industry, it maps real adoption across six use cases: player acquisition, segmentation, predictive analytics, bonus personalisation, lobby management, and customer support.

For each one, you'll see not just who's using AI, but what they're actually doing with it, what results they're seeing, and how they compare to operators who aren't.

If you're trying to benchmark your AI strategy against the rest of the industry, this report gives you the numbers to do it. If you're building a business case internally, it gives you the language. And if you think your competitors are further ahead than they actually are or further behind the data will correct that either way.

The findings are specific enough to be useful and honest enough to be uncomfortable in places. AI adoption in iGaming is real, uneven, and moving fast. Knowing where you stand is no longer optional.