The global AI in sports market was valued at US$ xx Mn in 2018 and is expected to reach US$ xx Mn by 2026, growing at a CAGR of xx% during the forecast period. The advent of digitalization and consequent increase in the adoption of artificial intelligence (AI) in sports help in determining the in-game strategy. AI in sports provide a platform to sports associations, coaches, players, and other stakeholders to get insights on players’ performance and the team performance, which in turn, is expected to drive the market growth over the forecast period.
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AI is transforming the sports industry and taking it to a completely new level. The adoption of AI in sports is significantly affecting the way games have been strategized and played, and the way audience is engaged. This trend has been increasing across baseball, tennis, soccer, football, and basketball, among others. The combination of sensor technology and AI help coaches improve players’ technique. AI has a key impact on strategic decisions made by coaches, both before and during a game.
In the sports industry, AI uses historical data to predict the future potential of players before investing in them. It can also be used for estimating a player’s market value to make the right choice before acquiring a new talent for the team. AI can also be used to identify the patterns in opponents’ tactics, strengths, and weaknesses while preparing for games. This helps coaches in devising detailed game plan based on their assessment of the opposition and thereby, maximize the likelihood of a victory.
In addition to these, the sports industry has also adopted predictive analytics that uses big data for determining the probability or likelihood of a certain outcome. Intelligent descriptive analytics looks at big data and analyses it by using machine learning and artificial intelligence, to come up with suggestions that improve the probability of the desired outcome. AI in sports is currently in the nascent stage, but it is expected that its adoption will increase over the coming years as the technology improves through better sensors, processors, and algorithms.
Key Findings:
North America dominated the global market in 2018 and is expected to remain dominant over the forecast period
Top benefits of AI in sports include performance improvement, injury prevention, and recruitment
AI will improve revenue, reduce operational costs, and improve valuation of professional sports teams
Asia Pacific is anticipated to register the highest growth over the forecast period owing to the growing popularity of sports as a career option
Recent News:
In April 2018, Fitbit collaborated with Google to innovate and transform the future of digital health and wearables. This collaboration will help the company enhance its product portfolio.
In June 2018, Fujitsu expanded its sports analytics business across Japan via RUN.EDGE, a Fujitsu subsidiary established through a company split. This will help the company to target professional and college level games also.
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