{"id":777038732,"date":"2026-03-04T09:41:49","date_gmt":"2026-03-04T12:41:49","guid":{"rendered":"https:\/\/focusgn.com\/asia-pacific\/?p=777038732"},"modified":"2026-04-21T13:50:00","modified_gmt":"2026-04-21T16:50:00","slug":"igaming-2026-trends-shaping-the-next-wave-according-to-pronet-gaming","status":"publish","type":"post","link":"https:\/\/focusgn.com\/asia-pacific\/igaming-2026-trends-shaping-the-next-wave-according-to-pronet-gaming","title":{"rendered":"igaming 2026: Trends shaping the next wave, according to Pronet Gaming"},"content":{"rendered":"\n
Rafiq Sheikh, Director of Product Delivery at Pronet Gaming, highlights a shift in igaming towards efficiency and scalability, with AI, hyper-personalisation, and mobile-first strategies defining the industry’s next phase of mature, structured growth.<\/p>\n\n\n\n\n\n\n\n
Opinion.- ICE 2026 Barcelona <\/strong>confirmed that igaming has entered a new phase of maturity. The conversations were no longer centred purely on expansion; they focused on efficiency, scalability, and operational discipline. In other words, igaming is no longer chasing growth at any cost. In 2026, the industry is chasing control. <\/p>\n\n\n\n The industry began 2026 with strong momentum, reflected in the scale and influence of ICE Barcelona. Thousands of professionals gathered to exchange ideas, showcase technology, and examine how the sector continues to evolve. Yet the discussions revealed a clear shift in priorities. Growth remains important, but sustainable growth<\/strong> now depends on structured operations, intelligent technology, and the ability to adapt quickly across diverse markets.<\/p>\n\n\n\n Several key trends emerged from these conversations, highlighting how operators, platform providers, and suppliers are refining their strategies as the industry moves into its next phase.<\/p>\n\n\n\n Artificial intelligence was one of the most consistent themes across ICE discussions. However, the focus has shifted significantly compared with previous years<\/strong>. AI is no longer viewed as an experimental feature; it is increasingly embedded within the core architecture of modern platforms.<\/p>\n\n\n\n Operators and suppliers are using machine learning to optimise multiple areas of their operations, including player segmentation, bonus allocation, fraud detection, and risk management. Predictive models are also helping identify churn risk and trigger retention actions before players disengage.<\/p>\n\n\n\n The commercial value of this shift is clear. AI enables operators to optimise player value rather than simply increasing acquisition spend. By identifying behavioural patterns early, platforms can deliver more relevant engagement strategies and offers.<\/p>\n\n\n\nAI advances from feature to foundational technology<\/h2>\n\n\n\n