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.
AI has the potential to unlock a new level of commercial development in the sports industry. Understanding the technology, the potential uses for it as well as the potential pitfalls is crucial for anyone looking to develop applications using AI.
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 but potential applications are already being implemented within sports broadcasting.
Who Should Buy
C-Suite, Commercial teams, Broadcasters, Production companies
Scope
- The report provides a sector overview for the use of AI, understanding the Generative AI landscape, and looking at some of the use cases and challenges that Generative AI in the sports industry.
Reasons to Buy
This report will help readers understand the AI landscape, and help leaders understand the potential of the technology. Providing a detailed understanding of how the technology works, its limitations and potential uses cases makes this a crucial report for anyone in the sports industry looking at harnessing the power of AI.
Table of Contents
- Executive summary
- Generative AI overview
- Business impact
- Vendor landscape
- Polls & signals
- Risks, limitations, and other considerations
- Appendix 1: Generative AI tech briefing
- Appendix 2: Our Thematic Research Methodology
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Boomy
- Ecrett Music
- OpenAI
- Shutterstock
- DeepAI
- Nightcafe
- OpenAI
- Stability AI
- Alphabet
- IBM
- Meta
