AI in Betting refers to the application of artificial intelligence technologies and methodologies in the gambling and wagering industry. It encompasses the use of algorithms, machine learning, data analytics, and predictive modeling to enhance various aspects of betting, including odds calculation, risk assessment, customer behavior analysis, and game strategy optimization. AI can help operators by improving decision-making processes, personalizing user experiences, detecting fraudulent activities, and automating real-time analytics. Additionally, AI tools can assist bettors by providing insights, optimizing betting strategies, and predicting outcomes based on historical data and patterns. Overall, AI in Betting aims to create a more efficient, engaging, and secure betting environment.
The global sports betting market is expected to grow by USD 221.1 billion from 2025 to 2029. This growth reflects a compound annual growth rate (CAGR) of 12.6% driven by…