Key takeaways
- Fantasy sports have gained immense popularity in India, driven by technological advancements and the Indian Premier League's success.
- Dream11, established in 2012, has become the largest fantasy sports platform in India, boasting over 4 crore users.
- The integration of AI into fantasy sports platforms enhances user experience and engages sports fans more effectively.
- Significant venture capital funding is flowing into the fantasy sports market, underscoring its growth potential.
There is no denying the fact that sports in India is a big industry. Started in 2008, Indian Premier League is a cricket league that has taken cricket to a whole new world, making India the hotbed for cricket enthusiasts.
To push the sports industry in India ahead, technology over the years has not left any stone unturned, and one of the most popular concepts is fantasy sports. Fantasy sports is a type of online game where participants form an imaginary or virtual team of real players of a professional sport and then compete based on the statistical performance of those players' in actual games.
What started as a concept, today is one of the rising markets in India. Fantasy sports platforms are getting significant funding from prominent VCs and the popularity is getting bigger and better. Started in 2012, Dream11 is India’s Biggest Sports Gaming platform with more than 4 crore users playing Fantasy Cricket, Football, Kabaddi and NBA. The Series D funded startup’s platform allows Indian sports fans to showcase their sports knowledge.
When Sports Meets AI
We all know that AI over the years has found applications in several industries and time again the tech has proved that it has a major business impact — serving clients faster, better and make more money. However, it is not just the businesses that are using artificial intelligence, sports gaming platforms are also in the rat race to become top AI-driven platforms. And being a top sports gaming platform, Dream 11 is leveraging the superpowers of AI to make the experience better for its users.Use Cases
- AI-Based Customer Support Bot
- AI-Based Automated Segmentation




