Think of this as a data “brain” for sports leagues, broadcasters, and betting operators that watches every game, learns what fans enjoy, and then helps serve them the right highlights, stats, and betting offers at the right moment on the right screen.
Sports rights holders and broadcasters struggle to keep fragmented, distracted fans engaged and to reliably turn that attention into revenue (subscriptions, ads, and betting) across digital and streaming platforms. This report and the underlying Stats Perform capabilities focus on using AI and rich sports data to personalize content, deepen engagement, and optimize monetization strategies heading into 2026.
Combination of long-history proprietary sports data feeds, historical event databases, and models trained specifically on sports behavior and betting patterns; deep integrations with broadcasters, leagues, and sportsbooks create sticky workflows and switching costs.
Hybrid
Vector Search
Medium (Integration logic)
Real-time latency and cost for generating and serving personalized content and recommendations at peak traffic during major live events.
Early Majority
This use case emphasizes an end-to-end view of fan engagement and monetization—bridging broadcast, digital, and betting—rather than just providing raw statistics or odds feeds. The framing around 2026 trends suggests advisory/consulting value layered on top of an established data and AI platform, guiding strategic decisions for rights holders and operators.