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Artificial Intelligence (AI) in Sports - Thematic Intelligence

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    Report

  • 63 Pages
  • July 2023
  • Region: Global
  • GlobalData
  • ID: 5860897
Artificial intelligence (AI) has the potential to be an important technology for the sports industry. Whilst a tried and tested use case has not yet been adopted for generative AI in sports, there is potential across the industry. AI could help tackle the challenges of fan engagement, media competition, and player safety.

Sports teams, companies, federations, and broadcasters are actively exploring the utility of artificial intelligence in the sports industry. The adoption of artificial intelligence intends to increase fan engagement, simplify business processes, and uncover insights in vast datasets. In terms of generative AI, a tried and tested, profitable use case has not yet been adopted by the sports industry.

Key Highlights

The global AI market will be worth $909 billion by 2030.
Sports AI use focuses on machine learning, computer vision.
A killer use case for generative AI in sports has not been found.

Scope

  • This report provides an overview of the artificial intelligence theme and looks at its impact on the sports sector.
  • The detailed value chain breaks down artificial intelligence into five categories: hardware, data management, foundational AI, advanced AI capabilities and delivery.
  • The report includes a comprehensive data analysis, including market size and growth forecasts for artificial intelligence.
  • It also includes selected case studies highlighting who is innovating in sport, using artificial intelligence.

Reasons to Buy

  • This report will help readers understand the business benefits that could be derived from artificial intelligence. In addition, the report identifies the technology vendors that are leading across the artificial intelligence market. The report uncovers the sports federations that are excelling in the artificial intelligence theme within the publisher's thematic scorecard.

Table of Contents

  • Executive Summary
  • Players
  • Sports Challenges
  • The Impact of AI on Sports
  • Case Studies
  • AI Timeline
  • Market Size and Growth Forecasts
  • Signals
  • AI Value Chain
  • Companies
  • Sector Scorecard
  • Glossary
  • Further Reading
  • Thematic Research Methodology
  • About the Publisher
  • Contact the Publisher

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • AELTC
  • Deutsche Fußball Liga
  • Formula One
  • FIBA
  • NBA
  • NFL
  • NHL
  • PGA Tour
  • Alibaba
  • Alphabet
  • Amazon
  • AMD
  • Apple
  • Baidu
  • C3.ai
  • Cambricon Technologies
  • Hyundai Motor Group
  • IBM
  • iFlytek
  • Intel
  • Meta
  • Microsoft
  • Nvidia
  • Tencent
  • Tesla
  • AI.io
  • Genius Sports
  • Hawk-Eye Innovations
  • MeetKai
  • SatisfiLabs
  • Stats Perform
  • Twenty First Group
  • Wicket