AI In Sports Market Growth, Key Players, Recent Developments And Forecast 2033

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.

Market Overview -
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.

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Surge In Wearable Device Demand Propels Growth Of AI In The Sports Market
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.

Competitive Landscape -
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.

Technological Advancements In The AI In The Sports Market
Technological advancements are a key trend gaining popularity in AI in the sports market. Major companies operating in AI in the sports market are adopting new technologies to sustain their position in the market. For instance, in October 2022, Epoxy ai., a US-based AI-driven sports technology solutions company, launched its Audience Cloud technology. This cutting-edge sports technology gives critical information to gaming operators and sports media organizations, allowing them to understand better how their customers interact with their products over time as consumers change with the seasons and their fandoms evolve. This technology employs custom-built AI to provide a constant picture of sports fan behavior, allowing for improved sports gaming and media analysis. Furthermore, the audience cloud continuously collects user data from various sources, such as betting, viewing trends, and a range of other contextual indicators.

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Key Segments -
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

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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