IBM's Court 19 processes 2.7 million data points as AI transforms Wimbledon for 730 million fans

IBM's Court 19 turns Wimbledon into AI proving ground

Beneath Wimbledon's 18th grass court sits IBM's technology hub, nicknamed Court 19, where 2.7 million data points flow through servers during the tournament fortnight 1

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. Ball speed, shot placement, and momentum swings transform into features that reach an estimated 730 million people across digital channels, generating roughly 18 billion impressions in 2025 2

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. While more than half a million visitors attend in person, they represent a fraction of the audience following matches through Wimbledon's app and website, which saw visits increase by over 20 per cent in the past year 1

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For IBM, Wimbledon serves as more than a tennis partnership. The tournament functions as a high-stakes showcase for enterprise clients wary of AI deployment. Kameryn Stanhouse, IBM's vice president of global sports and entertainment partnerships, notes executives face "a real fear around AI" because their jobs may be on the line if rollouts fail 2

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. The 36-year collaboration, which began with serve-speed radar in 1991, now extends to 2030 as part of a digital transformation plan designed to "engage more people in more places, more often, in more meaningful ways," according to Wimbledon's marketing director Usama Al-Qassab 2

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When automated line-calling reveals AI's limits

The promise of AI in sports faces real-world friction. In 2025, Wimbledon replaced 300 line judges—a fixture for 147 years—with automated electronic line-calling powered by Sony's Hawk-Eye system 1

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. The debut stumbled badly. The system missed three calls during one quarter-final and shouted "fault" mid-rally, forcing an umpire to intervene 2

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. British player Jack Draper questioned the system's precision, while Emma Raducanu called some rulings "dodgy" 2

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Though that system runs separately from IBM's technology, the episode hangs over every conversation about handing match-changing decisions to machines. IBM emphasizes its features remain "human-led," with a governance layer that scores confidence and checks for bias before information reaches fans 1

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. Yet for spectators watching technological errors derail a match, distinctions between vendors matter little. A 2025 Capgemini study found 70 per cent of sports fans want real-time data, but more than half worry too much technology erodes the authenticity of watching sport live 2

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Real-time data processing fuels personalized fan experiences

The shift from recording what happened to interpreting why it matters defines modern sports data 3

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. IBM's "Likelihood to Win" feature recalculates player odds after every point, though some argue it drains suspense from matches 1

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. Stanhouse frames this as a worthwhile trade-off: "Fans argue less about the marginal calls and more about the tennis itself" 1

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Behind the scenes, AI's transformative impact on sport extends to productivity gains. To rebuild Wimbledon's app and site, IBM used an accelerator called Bob that migrated more than 15,000 digital assets to a new platform 1

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. Work that would take five specialists months took one engineer a month, with the final transfer completing in 47 minutes 1

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. IBM has already built a Masters golf app for Apple Vision Pro and expects tennis applications to follow 1

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Commercial value of official data reshapes sports economics

Trusted sports data has evolved from a back-office resource into a strategic commercial asset 3

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. Every point at Wimbledon now creates value far beyond Centre Court, feeding broadcasters, sportsbooks, media organizations, sponsors, and AI models simultaneously . Patrick Mostboeck, senior vice president of fan engagement at Sportradar, explains that with thousands of data points collected every second, AI plays a major role in processing information, creating stories, and distributing insights 4

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Women's tennis demonstrates this transformation clearly. Through partnerships with Stats Perform and Opta, the Women's Tennis Association reached a record global audience of 1.1 billion viewers across broadcast and streaming platforms in 2024 . The global sports market could top $600 billion by 2030, according to Kearney forecasts 1

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. IBM positions Wimbledon as proof that AI can handle huge volumes of live data under pressure and in public—a test few enterprise pilots can match 1

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Predictive insights and augmented broadcasts shape what's next

The competitive advantage no longer lies solely in algorithms but in the depth, accuracy, and context of trusted datasets feeding them 3

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. Modern AI models estimate momentum swings, identify tactical adjustments, and predict likely outcomes while matches unfold . Organizations like Stats Perform apply these capabilities across global sports, helping leagues, broadcasters, and digital platforms deliver richer analysis and more dynamic storytelling in real time .

AI powers Wimbledon by making it possible to personalize the same match for different audiences. Casual viewers may want help understanding momentum shifts, while lifelong fans seek deeper tactical analysis . The match remains constant; the experience adapts to the individual. Mostboeck notes that being extremely precise about where players position themselves and where the ball lands—information that now drives automated umpiring—creates additional opportunities for fan engagement applications and coaching analytics 4

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. As Stanhouse acknowledges, no technology will ever call the winner in advance: "Somebody could wake up with a crick in their neck and can't serve the way they used to" 1

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