FEATURE
From smart stadiums and digital fan engagement to global media distribution, AI is reshaping how sports are played, managed and monetised. competitive intelligence. It processes large volumes of performance data to generate insights that inform strategy, training and in-game decisions. Over the course of a season, this enables teams to refine tactics, optimise player performance and gain a competitive edge.
3. AI Data Labeling Data is the foundation of any AI system, and AI Data Labeling ensures that this data is structured, accurate and usable. This solution supports analytics, content creation and fan engagement initiatives by organising raw data into meaningful formats. It also enables organisations to unlock new revenue opportunities through personalised content and targeted experiences.
Together, these solutions address the full spectrum of sports operations – from behindthe-scenes logistics to on-field performance and fan-facing content.
Turning data into competitive advantage
According to Lenovo leadership, the goal is not simply to introduce AI, but to operationalise it in environments where every second counts.
As the Global Technology Partner of Formula 1, Lenovo supports the delivery of live race content to more than 820 million fans. Each race weekend generates over 650 terabytes of data, requiring real-time processing, sub-second responsiveness and uninterrupted uptime. In this environment, even milliseconds can impact broadcast quality and viewer experience.
Lenovo’ s technology ensures that data flows seamlessly from trackside sensors and cameras to global broadcast networks, enabling fans around the world to experience the excitement of Formula 1 in real time.
Looking ahead, Lenovo will play a key role in the FIFA World Cup 2026, where it serves as the Official Technology Partner. This tournament is expected to be the largest in football history, featuring 104 matches and a global audience in the billions.
Planned AI deployments for the event include enhanced broadcast visualisation, stabilised referee camera views, intelligent command centres for venue operations and generative AI platforms for real-time analytics. These
Ken Wong, President of Lenovo’ s Solutions and Services Group, said technology is now central to how sports events are delivered and experienced.
He noted that the collaboration with NVIDIA enables organisations to manage complexity, improve resilience and apply intelligence in ways that support both performance and commercial success.
Similarly, NVIDIA highlighted the transformation of sports organisations into real-time data-driven systems. With data flowing continuously from venues, broadcasts and performance tracking systems, AI becomes essential for turning this information into actionable insights.
By combining NVIDIA’ s accelerated AI infrastructure with Lenovo’ s full-stack capabilities, the partnership enables predictive analytics, personalised fan experiences and more efficient operations.
Proven success at global scale
Lenovo’ s AI solutions are already being deployed in some of the most demanding sports environments worldwide, demonstrating their ability to perform under pressure.
By the numbers – The scale of AI in sports
The modern sports ecosystem is powered by massive data flows and global audiences:
• $ 23b –> $ 60b Projected growth of the global sports tech market from 2025 to 2030
• Billions of fans Global reach of major tournaments like the FIFA World Cup 2026
• 650 + Terabytes per race weekend Data processed in Formula 1 events
• 820m viewers Audience reached through live race broadcasts worldwide
• Sub-second processing required Real-time analytics where milliseconds impact outcomes
In this environment, AI isn’ t optional – it’ s essential for performance, reliability and fan engagement.
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