In sports, the difference between a champion and a cellar-dweller comes down to securing top talent and implementing an innovative game plan. IBM is now searching for a technological version of that edge.
“The IBM Sports Tech Startup Challenge gives us a unique chance to pair IBM’s deep sports tech expertise with the bold ideas emerging from founders worldwide,” said Emily Fontaine, the company’s global head of venture capital. “From how athletes perform to how fans engage, we’re excited to meet new innovators and help surface solutions that can have a major impact on how businesses in the sports industry scale and win. This program isn’t just a pitch competition. It’s a launchpad for the next generation of AI in sports.”
IBM’s challenge is both a search for talent and a strategic investment in the sports industry. The challenge seeks startups building AI solutions for the sports industry.
According to IBM, the challenge includes a series of independent, international regional showcase events from May through November, and a separate, invite‑only pitch competition — the IBM Sports Tech Startup Prize Competition at Web Summit Lisbon — where the startup winner may be eligible to enter into an agreement with the IBM Sports and Entertainment Partnerships team for a paid proof of concept worth up to $100,000.
The pitches will be judged “by a slate of soon-to-be-announced industry leaders, including IBM Ventures partners, IBM Sports & Entertainment Partnerships executives, sports and tech executives, and world-class athletes.” IBM has a hefty portfolio of sports partners that it collaborates with to deliver AI-based fan engagement, including Scuderia Ferrari HP, the U.S. Open, the UFC, Wimbledon, the Masters, and ESPN Fantasy Football.
The challenge arrives as the global sports economy expands rapidly, with projections pointing to trillions in future growth. For leagues, teams and broadcasters, the question is no longer whether to adopt AI, but how quickly they can use it to gain an advantage.
Sports organizations generate enormous volumes of data, from player tracking metrics to fan engagement patterns. Much of that information has historically gone underused. “AI is now changing that paradigm—changing the game—entirely,” Fontaine said.
The impact is already visible across the sports ecosystem. For fans, AI is transforming the viewing experience, delivering real-time insights, personalized content and more immersive digital features. Broadcasts are becoming interactive platforms, allowing viewers to access deeper statistics, alternate perspectives and customized feeds.
For teams and leagues, AI offers a new competitive edge. Advanced systems can process performance data at scale, analyzing biomechanics, strategy and in-game decision-making. That capability turns previously intangible elements into measurable inputs that can inform coaching and front-office decisions.
Players are also part of this transformation. Wearable technology and health monitoring systems generate continuous streams of data, helping identify patterns, manage workloads and potentially extend careers. AI translates those inputs into insights that can sharpen performance and reduce risk.
“The startups driving this shift are not building incremental enhancements; they are defining the foundational architecture for a sector ripe for large-scale transformation,” Fontaine said.
That shift is part of a broader digital evolution reshaping how sports are consumed and monetized. Cesar Medina, a technology, media and telecommunications analyst at Morgan Stanley, said the industry is rapidly closing a gap with other forms of entertainment. “Global sports is no longer just about what happens on the field,” Medina said. “It’s about how fans experience it—on their phones, in their homes, and in the stadiums of the future.”
Medina points to three forces behind the shift: younger audiences demanding customized experiences, new digital distribution models and rising institutional investment. Those trends are driving engagement and revenue, with some leagues reporting significant increases in viewership after introducing interactive features.
Watching a game increasingly involves multiple screens, real-time statistics and social interaction layered over the live event. Emerging technologies promise even more personalization, from immersive viewing options to AI-driven insights tailored to individual fans.
