Overview and Scope
AI in sports refers to the process of using artificial intelligence techniques,
such as machine learning and computer vision, to improve various aspects of
sports performance, training, and fan engagement. It involves the use of
algorithms to analyze and process data from various sources, including sensors,
video footage, and other sources of information, to provide insights and
recommendations to athletes, coaches, and fans.
Sizing and Forecast
The ai in sports market size has grown exponentially in recent years. It will
grow from $1.85 billion in 2023 to $2.43 billion in 2024 at a compound annual
growth rate (CAGR) of 31.2%. The growth in the historic period can be
attributed to performance optimization demands, fan engagement enhancement,
injury prevention and management, strategic decision-making, market
competitiveness.
The ai in sports market size is expected to see exponential growth in the next
few years. It will grow to $6.69 billion in 2028 at a compound annual growth
rate (CAGR) of 28.8%. The growth in the
forecast period can be attributed to evolution of sports analytics, enhanced
athlete development programs, global expansion of ai technologies, growing
emphasis on data security, integration with wearable technologies. Major trends
in the forecast period include expansion of ai in esports, ai-based sports
betting and predictive analytics, ethical use and data privacy concerns,
collaboration with sports science and medicine, customized fan experiences
through ai.
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Segmentation & Regional Insights
The ai in sports market covered in this report is segmented –
1) By Solution: Software, Hardware
2) By Game Type: Football, Cricket, Tennis, Basketball
3) By Deployment: Cloud, On-Premise
4) By Technology: Machine Learning, Natural Language Processing, Computer
Vision, Data Analytics, Other Technologies
5) By Application: Game Planning, Game Strategies, Performance Improvement,
Injury Prevention Sports Recruitment, Others Applications
North America was the largest region in the AI in sports market in 2023.
Asia-Pacific is expected to be the fastest-growing region in the global AI in
sports market report during the forecast period. The regions covered in the 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 increasing demand for wearable devices is expected to propel the growth of
AI in the sports market going forward. Wearable devices refer to electronic
devices that can be worn on the body and are designed to collect and monitor
data related to health, fitness, and activity levels. AI in sports often uses
wearable devices to track and monitor athletes' performance data and provide
insights into an athlete's performance and identify areas for improvement. For
instance, in January 2021, according to the Gartner Inc. prediction, global
end-user spending on wearable devices will reach $81.5 billion in 2021.
Additionally, 533.6 million AI medical devices were shipped in 2021. Therefore,
the increasing demand for wearable devices is driving the growth of AI in the
sports market.
Key Industry Players
Major companies operating in the ai in sports market report are International
Business Machines Corporation, SAP SE, SAS Institute Inc., Sportradar AG,
Amazon Inc., Microsoft Corporation, Apple Inc., Opta Sports company, Catapult
Group International Ltd., Trumedia Networks, Salesforce.com Inc., Synergy
Sports Technology, Krossover, The Chyron Corporation, FocusMotion, VeoRide
Inc., Athos, Arccos Golf LLC, Square Off, Kitman Labs, Zone7 Technologies Inc,
KINEXON Sports & Media GmbH, Second Spectrum Inc., Zebra Technologies India
Pvt. Ltd., Facebook Inc., Stats Perform, ChyronHego Corporation,
ShotTracker Inc., PlaySight Interactive Inc., Hawk-Eye Innovations Ltd.
The ai in sports market report table of
contents includes:
1. Executive Summary
2. AI In
Sports Market Characteristics
3. AI In
Sports Market Trends And Strategies
4. AI In
Sports Market - Macro Economic Scenario
5. Global
AI In Sports Market Size and Growth
.
31. Global
AI In Sports Market Competitive Benchmarking
32. Global
AI In Sports Market Competitive Dashboard
33. Key
Mergers And Acquisitions In The AI In Sports Market
34. AI In
Sports Market Future Outlook and Potential Analysis
35.
Appendix
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