Artificial Intelligence (AI) in Sport – Thematic Intelligence

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Explore trends and insights from the following data in our Artificial Intelligence (AI) in Sport’ report:

  • An overview of the artificial intelligence theme and 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.
  • A comprehensive data analysis, including market size and growth forecasts for artificial intelligence.
  • Selected case studies highlighting who is innovating in sports, using artificial intelligence.

How is the ‘Artificial Intelligence (AI) in Sport’ report different from other reports in the market?

  • 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 GlobalData’s thematic scorecard.

We recommend this valuable source of information to anyone involved in:

  • ​Sports Equipment Manufacturers
  • ​Sports/ Esports Event Organizers/​Advertisers/​Sponsors
  • ​Technology Leaders and Startups
  • Strategy, Marketing, and Business Development
  • Market Intelligence and Portfolio Managers
  • Professional Services – Investment Companies, PE/VC firms
  • M&A and Investment Consultants
  • Management Consultants and Consulting Firms

To get a snapshot of the artificial intelligence in sport thematic report, download a free report sample

AI in Sport Thematic Report Overview

Sport AI use focuses on computer vision (CV) and machine learning. CV is mainly used in training, officiating, performance analysis, and injury prevention. Many teams using this technology have reported a decline in lost days due to injury despite many sport, like football, straining players’ health with a high volume of matches. Likewise, successful applications of machine learning have helped the decision-makers at sport companies, broadcasters, and leagues find underlying trends in vast datasets. This analysis informs their strategy on and off the pitch.

Report Pages 63
Regions Covered Global
AI Market Size (2022) $81.3 billion
CAGR (2022-2030) >35%
Forecast Period 2023-2030
AI Value Chain ·       Hardware

·       Data Management

·       Foundational AI

·       Advanced AI Capabilities

·       Delivery

Leading Adopters ·       All England Lawn Tennis Club (AELTC)

·       Deutsche Fußball Liga (DFL)

·       Formula 1 (F1)

Leading AI Vendors ·       Alibaba

·       Alphabet

·       Amazon

Specialist AI Vendors ·

·       Genius Sport

·       Hawk-Eye Innovations

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AI in Sport – Industry Analysis

The AI market was valued at $81.3 billion in 2022. The market is expected to achieve a CAGR of more than 35% between 2022 and 2030. The AI consulting and support services category is currently the largest market segment while conversational platforms is the fastest-growing segment with a CAGR of over 57% between 2022 and 2030. This corresponds with the rapid impact that generative AI has had and the associated opportunities that businesses are exploring.

Global AI Revenue by Product 2022-2030 ($ Billion)

Global AI Revenue by Product 2022-2030 ($ Billion)

For more insights into the AI in sport market forecast, download a free report sample

AI in Sport - Value Chain Analysis

The AI value chain is split into five segments which are hardware, data management, foundational AI, advanced AI capabilities, and delivery.

Hardware: The hardware value chain can be further divided into semiconductors, cameras, sensors and lasers, and servers, among others. The AI hardware stack is not too dissimilar from any IT system, although parts such as semiconductors, cameras, sensors, and edge equipment are very AI-specific. On the other hand, servers, storage, and networking equipment are standard and not designed specifically for AI use cases.

AI Value Chain Analysis

AI Value Chain Analysis

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Leading AI Adopters

Some of the leading sport companies currently deploying AI are:

  • All England Lawn Tennis Club (AELTC)
  • Deutsche Fußball Liga (DFL)
  • Formula 1 (F1)

Leading AI Vendors

Some of the leading players within the AI theme are:

  • Alibaba
  • Alphabet (parent company of Google, Waymo, and DeepMind)
  • Amazon

Specialist AI Vendors in Sport

Some of the specialist AI vendors in the sport sector are:

  • io
  • Genius Sport
  • Hawk-Eye Innovations

To know more about the leading AI adopters, vendors, and specialist vendors, download a free report sample

Sporting Federations Sector Scorecard

At GlobalData, we use a scorecard approach to predict tomorrow’s leading companies within each sector. Our sector scorecard has three screens: a thematic screen, a valuation screen, and a risk screen.

  • The thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance.

Sporting Federations Sector Scorecard – Thematic Screen

Sporting Federations Sector Scorecard – Thematic Screen

To know more about the sector scorecards, download a free report sample

Segments Covered in the Report

AI Value Chain Outlook (Value, $ billion, 2022-2030)

  • Hardware
  • Data Management
  • Foundational AI
  • Advanced AI Capabilities
  • Delivery

Key Highlights

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

Deutsche Fußball Liga
Formula One
PGA Tour
Cambricon Technologies
Hyundai Motor Group
Genius Sport
Hawk-Eye Innovations
Stats Perform
Twenty First Group

Table of Contents

  • 1. Executive Summary
  • 2. Players
  • 3. Sports Challenges
  • 4. The Impact of AI on Sports
  • 5. Case Studies
  • 6. AI Timeline
  • 7. Market Size and Growth Forecasts
  • 8. Signals

    • 8.1. Mergers and acquisitions
    • 8.2. Patent trends
    • 8.3. Social media trends

  • 9. AI Value Chain

    • 9.1. Hardware
    • 9.2. Data management
    • 9.3. Foundational AI
    • 9.4. Advanced AI capabilities
    • 9.5. Delivery

  • 10. Companies
  • 11. Sector Scorecard

    • 11.1. Sporting federations sector scorecard

  • 12. Glossary
  • 13. Further Reading
  • 14. Our Thematic Research Methodology
  • 15. About GlobalData
  • 16. Contact Us

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