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9 Ways in Which Artificial Intelligence (AI) Can Change the Landscape of the Sports Industry


In every field—health, education, marketing, production, and sports—AI has managed to outperform itself. The sports industry is being rapidly transformed by artificial intelligence, much like every other significant sector. AI has touched every sports aspect at the quantitative, statistical, and analytical levels. The sports market has grown significantly. Game nights have become very popular thanks to the crazed devotees who have brought in a lot of money. Without merchandising, sponsorship, media payments, and advertising, the sports sector is lacking. Online apps are also a component of the modern era of sports. Ports coaches have been employing data science for the past 20 years to assist their players in performing better. They have been using big data to aid split-second judgments made on the field and turning to sports analytics to assist in signing the “next big thing.” Football referees increasingly use video assistant technology (VAR) to help decision-making regarding major issues like penalties, free kicks, and red cards. And the sports experience will change much more now that AI, notably Deep Learning, is involved. Let’s see how artificial intelligence is being used to aid sports and how it can manage to revolutionize the sector : 

  1. Identifying talent

There are a ton of aspiring athletes. A team is only allowed a certain number of members. Therefore, finding possible candidates in a large crowd could prove challenging. The straightforward solution to this is data science models. Machine learning models specify particular hypotheses and analytics. They use sophisticated algorithms to filter prospects. The model makes speculative predictions while considering a wide range of standards. The procedure aids in selecting a team with a lot of promise. Extensive data analysis is also assisting in identifying players’ specific strengths and shortcomings. Artificial intelligence is, therefore, effectively promoting the search for athletic ability.

  1. Individualized diet and exercise programs

The training and eating regimens for elite athletes have significantly improved over time. The use of artificial intelligence in sports has the potential to further the tailoring of training and dietary regimens. Research has already produced encouraging findings regarding the use of AI in weight training.

  1. Player efficiency

Artificial intelligence is applied in sports through predictive analysis to improve performance and health. Athletes can prevent significant injuries thanks to the development of wearables that collect data on degrees of strain and wear. But that’s only the start. Teams can use AI to develop strategies and tactics and play to their strengths. Thanks to AI, player performance analysis has advanced beyond all previous levels. Coaches can alter their teams’ tactics and strategies to take advantage of their opponent’s shortcomings by using data and graphics to get insights about their teams’ strengths and weaknesses on any given day. Three tests using video sequences are used determine the most effective technique for automated player monitoring:

  • Using only motion detection for tracking
  • Tracking of color
  • Color and template monitoring combined
  1. Exercise plan

Artificial intelligence is incredibly clever; it determines a player’s skills and provides an efficient workout schedule based on research statistics. The model runs several research experiments on the players, including standard inspections. This information is gathered, examined, and a comprehensive chart is created. The single-centric strategy is instantaneously boosting production. Artificial intelligence (AI) models can assess player compatibility and offer grouping strategies. These models are also included, both numerically and qualitatively, in a variety of sports equipment, including Fitbit, fit smart, etc. They monitor vital signs in real-time, including heartbeat and blood pressure.

  1. Audience participation

The use of artificial intelligence to boost engagement is widespread. The audience of sports enthusiasts is enormous, and it might be challenging to please such a sizable fan base. The most significant concern when planning leagues is the comfort and atmosphere of the spectators: AI-powered retail, restaurant, ticketing areas, etc. A new technique is smart ticketing- Everything is powered by ML models, including barcode scanning and providing a virtual representation of the seating configuration. Additionally, the audience’s kind and preferences are taken into account as sophisticated algorithms are used to filter the seating arrangement. Additionally, the user’s preferences can be considered when modifying availability, such as parking, food options, and restrooms utilizing AI models.

  1. Assisting the referee

An ethical adventure is a sport. Sportsmanship is an inviolable quality. Therefore, the referee community alone is responsible for providing fair results. The artificial intelligence algorithm prevents unfairness from occurring, even though players may overlook some odds in the heat of the moment. The AI model closely monitors the game and gives every single aspect real-time with a few touches. As a result, it improves fairness and fosters a sense of trust between players and spectators. The theory is based on numerous footage, sounds, and other elements rather than a single characteristic.

  1. Security

The player can’t be prevented from falling in between a game. But, injury trends can be recorded and the player can be alerted to pay attention to a particular region. Furthermore, AI models are crucial in sports race vehicle competitions. Before giving these autos to players, the AI tests them first. 

  1. Sports Research

There has been a lot of interest in sports knowledge recently. People are enrolling in sports-related courses and pursuing jobs as coaches and professionals. The education industry is experiencing a massive surge. The zealots are driving up the demand for new ventures. As a result, there is an even greater need for sports institutions, specialists, and coaches. Humans are prone to making mistakes. AI thus contributes to eliminating these human errors. Artificial intelligence is greatly assisting sports education by supplying statistical data to develop changes and breakthroughs. This technology makes it possible to discover hidden ailments that could appear minor but have catastrophic results. As a result, AI occasionally proves to be a lifesaver.

  1.  Ticketing

Elite sports teams are still having admission delays in 2022. Following the start of the game, thousands of Southampton FC supporters were left waiting outside and had to be reimbursed. At major sporting events, it is not unusual for fans to experience difficulty entering stadiums in time for the game. Indeed, that has been going on for years. Nothing could fix the problem till today (potentially). The stadium’s crowd density is being monitored by computer vision, and staff members are receiving alerts when certain areas become overloaded. Additionally, predictive analytics can predict how many people will attend and when they will likely appear. Organizing goods and food in this way makes it easier to meet demand.

Theoretically, implementing AI in sports makes sense, but it cannot come at the expense of the spectator experience. For instance, while employing facial recognition to speed up entry to stadiums and allow fans in without the need for tickets prevents bottlenecks, it also eliminates the turnstile, which, for many European football fans at least, is associated with a romanticized image of match day. But AI is unquestionably the technology of the future for sports. However, we haven’t quite reached the last frontier; we’re probably just getting started.


Amreen Bawa is a consulting intern at MarktechPost. Along with pursuing BA Hons in Social Sciences from Panjab University, Chandigarh, she is also a keen learner and writer, having special interest in the application and scope of artificial intelligence in various facets of life.




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