According to a new study by the Grand View Research Inc., the global sports analytic market size expanded at CAGR 31.2% and is expected to reach $ 4.6 billion in 2025. Increasing preferences for sports as a tracking option and increased monitoring of direct data players to encourage market growth. Analytical use in sporting events helps various stakeholders, including sports, associations, and fans, to gain deep insight about activities in direct games and past games. Worldwide games examiners and industry specialists have commented that the games Sports Coaching Software industry is conceivably hoping to arrive at an estimation of $5.2 billion dollars by 2024. Recently, many sports organizations invest in sports analytic, and the return is very clear. Recently, Manchester City employed Laurie Shaw, a former veteran hedging fund, to lead AI's insight into the city football group. The main focus is to build a machine-based model to manage the fatigue of players, injuries, pre-match analysis, post-match analysis, and coach recruitment.
This is really not new news. "Moneyball" was written almost 20 years ago (and subsequently made into a major movie) about a baseball team's success when their manager used analytics to improve the team's performance. I briefly got involved mentoring a start-up that was offering an athletic analytics solution of a different type than the potential solutions you mention above. The challenge they were going to face was scaling after the relatively small number of professional and large university sports teams were sold to. The big numbers, of course, are in the smaller schools, amateur leagues, etc., but they rarely have the money to afford such a solution or the people who can use them.