The Europe Artificial Intelligence in Sports Market would witness market growth of 29.8% CAGR during the forecast period (2021-2027).
Combining sports and artificial intelligence has the unintended consequence of spawning a new genre of sports media known as automated journalism. Writers can utilize statistics and data to create narratives that use natural language using platforms like Wordsmith. Journalists may use artificial intelligence to broaden their reach and enhance the number of games they can cover. This means no more deciding which games are deserving of attention. Although the use of automated journalism in minor league baseball is modest, it demonstrates how helpful it may be in any sport.
Artificial intelligence is also redefining how coaches see and treat a player's health and safety, which is a significant change in the sports sector. Coaches and management can keep track of a player's health, fitness, and safety due to AI's predictive and diagnostic abilities. This also implies that physical and mental illnesses are detected and treated more quickly than ever before.
The applications of AI in sports are highly promising in the region as the region holds some of the prominent sports tournament spanning all the categories. In addition, season ticket holder retention is handled by the New England Patriots using a variety of behavioral variables. In addition, Game attendance, team product purchases, attendance at special season ticket holder events, and attendance at concerts or soccer games at Gillette Stadium, for example, are all factors in their models.
Loughborough University computer scientists have created new artificial intelligence (AI) algorithms that are likely to revolutionize how football teams analyses team and individual player performance on the field. The scientists created an AI method to identify the body parts and positions of players so that their movements could be identified and then analyzed, based on recent breakthroughs in AI and deep learning. Moreover, the technology analyses video data to identify individual players and determines whether they are running, walking, or jumping, as well as which foot they are using to pass the ball
The Germany market dominated the Europe Artificial Intelligence in Sports Market by Country in 2020, and would continue to be a dominant market till 2027; thereby, achieving a market value of $482 million by 2027. The UK market is poised to grow at a CAGR of 28.7% during (2021 - 2027). Additionally, The France market would experience a CAGR of 30.8% during (2021 - 2027).
Based on Component, the market is segmented into Software and Services. Based on Game Type, the market is segmented into Football, Cricket, Basketball, Tennis, Baseball, and Others. Based on Application, the market is segmented into Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment, and Others. Based on Deployment model, the market is segmented into On-premise and Cloud. Based on Technology, the market is segmented into Machine Learning, Computer Vision, Data Analytics, Natural Language Processing, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
Free Valuable Insights: The Global Artificial Intelligence in Sports Market Size will Hit $7.3 Billion by 2027, at a CAGR of 30.7%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Catapult Group International Ltd., Facebook (Meta Platforms, Inc.), IBM Corporation, Microsoft Corporation, Salesforce.com, Inc., SAP SE, SAS Institute, Inc., Sportradar AG, Stats Perform, and Trumedia Networks.
By Component
By Game Type
By Application
By Deployment Model
By Technology
By Country
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