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Global Generative Artificial Intelligence (AI) in Sports Market Report 2024: Market Size, CAGR, Lucrative Segments And Top Regions

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Global Generative Artificial Intelligence (AI) in Sports Market Report 2024: Market Size, CAGR, Lucrative Segments And Top Regions

Overview and Scope

Generative artificial intelligence (AI) in sports refers to a type of AI that involves the creation, synthesis, or generation of content, data, or elements related to the field of sports. It helps improve fan engagement, create new revenue streams, and enhance the overall sports experience for fans and athletes.

Sizing and Forecast

The generative artificial intelligence (AI) in sports market size has grown exponentially in recent years. It will grow from $0.17 billion in 2023 to $0.22 billion in 2024 at a compound annual growth rate (CAGR) of 30.7%. The growth in the historic period can be attributed to data center expansion, rise of cloud gaming services, autonomous vehicles and adas, edge computing and iot growth, blockchain and cryptocurrency.

The generative artificial intelligence (AI) in sports market size is expected to see exponential growth in the next few years. It will grow to $0.58 billion in 2028 at a compound annual growth rate (CAGR) of 27.8%. The growth in the forecast period can be attributed to advancements in computer vision, customized training programs, real-time decision support, expanding fan experiences, global sporting events. Major trends in the forecast period include integration with emerging technologies, technological advancements in wearables, sponsorship and revenue opportunities, injury prevention and rehabilitation, wearable technology integration.

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Segmentation & Regional Insights

The generative artificial intelligence (ai) in sports market covered in this report is segmented –

1) By Sports Type: Football, Tennis, Cricket, Basketball, Hockey, Golf, Other Sports

2) By Deployment: On-premises, Cloud-based

3) By Application: Performance Analysis, Game Strategies, Sports Equipment Design, Other Applications

North America was the largest region in the generative artificial intelligence (AI) in sports market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in sports market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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Major Driver Impacting Market Growth

The growing number of sports injuries is expected to propel the growth of generative artificial intelligence (AI) in the sports market going forward. A sports injury is any harm or damage to the body that occurs during sports, exercise, or athletic activities. Generative AI can prevent sports injury by providing realistic training scenarios, allowing them to practice proper technique and identify potential injury risks in a safe, controlled environment. For instance, in 2023, according to the National Safety Council, a US-based nonprofit organization promoting health and safety, the total number of sports and recreational injuries increased by 11% from 3,231,885 in 2021 to 3,631,970 in 2022. Therefore, the growing number of sports injuries is driving the growth of generative artificial intelligence (AI) in the sports market.

Key Industry Players

Major companies operating in the generative artificial intelligence (AI) in sports market report are Google LLC, Amazon Web Services (AWS), Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Baidu Inc., Zebra Technologies Corporation, Stats Perform Group LLC, Tempus Ex, GumGum Inc., Noah Basketball LLC, Catapult Sports, Genius Sports, PlaySight Interactive Ltd., ChyronHego Corporation, Whistle Sports Inc., Sportlogiq Inc., SportsMEDIA Technology, Hawk-Eye Innovations Ltd., Opendorse, Inc., Spiideo AB, Beyond Sports, ShotTracker, Kinduct Technologies Inc., MVP Interactive, Inc., Perform Group Ltd, Second Spectrum Inc., PlayGineering Systems

The generative artificial intelligence (ai) in sports market report table of contents includes:

1. Executive Summary

2. Generative Artificial Intelligence (AI) in Sports Market Characteristics

3. Generative Artificial Intelligence (AI) in Sports Market Trends And Strategies

4. Generative Artificial Intelligence (AI) in Sports Market - Macro Economic Scenario

5. Global Generative Artificial Intelligence (AI) in Sports Market Size and Growth

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32. Global Generative Artificial Intelligence (AI) in Sports Market Competitive Benchmarking

33. Global Generative Artificial Intelligence (AI) in Sports Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) in Sports Market

35. Generative Artificial Intelligence (AI) in Sports Market Future Outlook and Potential Analysis

36. Appendix

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