AI innovation in sports: Technology driving the next phase of sports development

The sports industry has always relied on information to assess performance and make decisions. What has changed is the ability to process and interpret that information at a much greater scale. Artificial intelligence (AI) is adding a new dimension to how sports organisations approach their work, creating opportunities for technology to play a larger role across the sporting ecosystem.

The implications extend beyond professional athletes and competitive performance. Sports organisations, technology providers and development initiatives are also finding new areas where AI can contribute. Its growing relevance raises an important question for the industry: How effectively can these capabilities be translated into practical improvements?

Where AI meets the sporting ecosystem

The value of AI in sports depends on the problem it is being used to address. Sports organisations can use technology to interpret performance data and identify patterns that may otherwise be difficult to assess. Meanwhile, sports administrators can apply AI to organise information more effectively and make better-informed decisions.


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Products and solutions from technology providers can help sports organisations access capabilities that may previously have required significant technical resources. The quality of these applications will depend on how well they address the requirements of the people using them.

Initiatives working to expand participation and improve sporting infrastructure need solutions that respond to their specific environments. AI applications designed with these requirements in mind can contribute to making technology more relevant across different parts of the ecosystem.

The challenge of turning innovation into impact

The presence of AI in a product or platform does not, by itself, establish its value. Its contribution needs to be assessed against the problem it addresses and the difference it makes to the organisation or initiative using it.

A solution may demonstrate technical sophistication, but its practical relevance depends on adoption and execution. Sports organisations need to understand whether a product fits their requirements, whether its users can work with it and whether it delivers results that justify its use.

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This also places greater responsibility on technology providers. Developing solutions for the sports industry requires an understanding of its operational requirements and the people who depend on these systems. Applications need to be built around genuine needs rather than the appeal of the technology alone.

Recognising AI innovation in sports

As AI finds a wider place in the sports ecosystem, recognising the organisations and technology providers advancing its application becomes increasingly relevant.

The AI Innovation in Sports category at the ET AI Awards 2027 recognises AI innovation across sports organisations, technology providers, and sports development initiatives. It offers an opportunity to showcase work that is contributing to the adoption and application of AI within the industry.

The category is part of the Innovation & Impact track, which includes categories such as:

• AI Innovation in Sports
• AI Product of the Year – Startup
• AI Startup of the Year – Defence, Space & Public Systems
• AI Startup of the Year – Enterprise SaaS & Applied AI
• AI Startup of the Year – FinTech & Payments
• AI Startup of the Year – Healthcare & Life Sciences
• AI Startup of the Year – Media, Content & Entertainment
• AI Startup of the Year – Supply Chain & Logistics
• AI-Native Startup of the Year
• AI Product of the Year – SME
• AI for Consumer & D2C Growth
• AI for Education & EdTech Solutions
• AI for Food, Agriculture & Supply Chain Efficiency
• AI for Manufacturing & Industrial Innovation – SME
• AI for Marketing, Sales & Customer Growth
• AI for Real Estate, Construction & Infrastructure
• AI-Powered SME of the Year – Financial Services
• AI Product of the Year – Enterprise
• AI Services Partner – India IT Major
• AI for Banking & Capital Markets
• AI for Energy, Utilities & Infrastructure
• AI for Healthcare, MedTech & Life Sciences
• AI for ITES & Technology Services
• AI for Insurance & Financial Protection
• AI for Marketing & Product Innovation – Enterprise
• AI for Retail, Consumer & Commerce
• AI for Sales & Revenue Growth – Enterprise
• AI for Supply Chain & Manufacturing Excellence
• GCC AI Transformation of the Year

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