The new Artificial Intelligence in Sports Market report offers a comprehensive study of the current scenario of the market including major market dynamics. Also, it highlights the in-depth marketing research with the newest trends, drivers, and segments with reference to regional and country. Further, this report profiles top key players and analyze their market share, strategic development, and other development across the world.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence in sports market include Catapult Group International Ltd, Facebook Inc, IBM Corporation, Microsoft Corporation, Salesforce.com Inc, SAP SE, SAS Institute Inc., Sportradar AG, Stats Perform, and Trumedia Networks. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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Market Dynamics
The increase in demand for monitoring and tracking data of players boosts the growth of the global artificial intelligence in sports. Also, the surge in demand for chatbots and virtual assistants to interact with followers and increase in enthusiastic fan participation in sports activities worldwide influences the market growth. Moreover, increasing demand for real-time data analytics to improve performance positively impacts the market's growth. The growing use of AI in sports such as cricket, football, basketball, tennis, and baseball fuel the market growth of AI in sports. Additionally, the increase in technological investments is also anticipated to augment the growth of the global artificial intelligence in sports. However, a lack of trained & skilled professionals and high implementation and maintenance costs hamper the market growth.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in sports. The growth and trends of artificial intelligence in sports industry provide a holistic approach to this study.
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Market Segmentation
This section of the artificial intelligence in sports market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Component
· Software
· Service
By Deployment Model
· Cloud
· On-Premise
By Technology
· Machine Learning
· Natural Language Processing
· Computer Vision
· Data Analytics
· Others
By Application
· Game Planning
· Game Strategies
· Performance Improvement
· Injury Prevention Sports Recruitment
· Others
By Game Type
· Football
· Cricket
· Tennis
· Basketball
· Baseball
· Others
Regional Analysis
This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Sports market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
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