Artificial Intelligence in Sports Analytics Market | 2031

Report Description

The global artificial intelligence (AI) in sports analytics market size was USD XX Bn in 2022 and is likely to reach USD XX Bn by 2031, expanding at a CAGR of XX% during 2023–2031. The market growth is attributed to the increasing demand for real-time data analytics and the growing use of AI technology in sports.

Increasing adoption of AI-powered solutions in sports events, especially in well-established sports tournaments is expected to drive the market. This technology can be used to analyze data and engage fans in improved ways. The real-time insights created through AI data analysis during the match can help teams improve their strategies for better results. The growth of AI in sports analytics is further driven by the adoption of AI virtual assistants and chatbots to communicate with fans. Furthermore, as the technology continues to evolve, the scope of its applications is expected to expand, thereby generating significant growth opportunities in the market. For Instance,

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• In July 2023, Xoriant launched a generative artificial intelligence platform called ORIAN for all industries. ORIAN platform for the National Football League Players Association (NFLPA), syndicates the power of machine learning, artificial intelligence, and analytics to accelerate and automate the process of contact detection and examination for Contact Sports Analytics, thereby helping the NFLPA in its core objective of ensuring and enhancing player safety.

The market report finds that the COVID-19 pandemic hampered the artificial intelligence (AI) in sports analytics market, due to the postponement and cancellation of sports events at the national, international, and regional levels to protect the athletes from infections. The government-imposed lockdowns further restricted sports events, resulting in the slow growth of sports technology adoptions. However, several organizations have launched online solutions with the help of AI-based technologies for professional athletes to increase the fanbase experience and gain unique insights. This factor is likely to boost artificial intelligence (AI) in sports analytics market.

Artificial Intelligence (AI) in Sports Analytics Market Dynamics

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Major Drivers

High demand for monitoring and tracking data of athletes is expected to boost artificial intelligence (AI) in sports analytics market. Monitoring solutions are used by organizations and federations to identify patterns of habits, behavior, and performance among players. Capturing these data allows the coaches and mentors to estimate and analyze them, helping them to extract the potential performance from the athlete. For instance,

• PlayerData’s EDGE system is being used by around 40 Scottish football and rugby clubs for player performance analysis and load management. This factor is likely to increase the demand for monitoring and tracking data of players, which is expected to fuel the market.

Existing Restraints

Lack of awareness regarding the integration of data from data silos and sport analytics solutions is expected to hinder artificial intelligence (AI) in sports analytics market. Organizations in Europe and North America are increasingly seeking technologies such as Artificial Intelligence, Big Data analytics, and Machine Learning to improve their performance. However, companies in other regions are reluctant to implement analytics and other technologies owing to strict political factors and low technology penetration.

Several sports organizations across regions rely on traditional analysis approaches and hire retired players as trainers to train their sports athletes. This factor is expected to hamper artificial intelligence in sports analytics market.

Emerging Opportunities

Increasing investments to develop innovative sports technologies is expected to create lucrative opportunities for the market players. Several companies are focusing on developing innovative sports solutions for players and teams to track, analyze, and improve their performance. The rising advancement in AI and the emergence of advanced AI-powered solutions for sports solutions are projected to expand opportunities in the market. For Instance,

• In July 2022, Florida Institute and Florida Funders invested in Gemini Sports Analytics (GSA), the first no-code, sports-specific intelligence platform that leverages artificial intelligence to modernize athlete management. Florida funders invested in GSA USD 1.5 million seed round from the Florida funders’ fund LLC.

Scope of Artificial Intelligence (AI) in Sports Analytics Market Report

The market report includes an assessment of the market trends, market segments, and regional markets. Overview and dynamics have also been included in the report.

Artificial Intelligence (AI) in Sports Analytics Market Segment Insights

Type Segment Analysis

Based on type, the market is divided into on-field and off-field. The on-field segment is expected to expand at a significant pace during the projection period, owing to the increasing usage of on-field analytics such as health assessment, player & team analysis, and video analysis.

On-field data analytics includes tracking on-field data metrics to influence methodology used to improve nutrition plans, in-game strategies, and other critical areas that ethically improve athletes' performance levels. High adoption of on-field data analysis solutions in sports including rugby, football, swimming, cricket, and others is increasing the demand for this segment in the market. For Instance,

• In November 2022, the National Football League (NFL) expanded its partnership with top research universities to gather data from on-field head impacts through novel mouthguard sensors to update injury-lessening efforts at the collegiate and professional level, including through rules changes and the growth of higher-performing and equipment such as position-specific helmets.

The off-field segment is anticipated to hold a key share of the market in the coming years, as it helps to expand the business and operational efficiency of sports teams. Off-field data analytics includes monitoring important data metrics such as merchandise sales, ticket sales, fan engagement, and others.

This type of data analytics aids decision-makers in sports teams in making better decisions directed toward growth and productivity. It is used by fantasy gaming, sports team stakeholders, and gaming applications to improve productivity by making the right decisions, which boosts the segment in the market.

Application Segment Analysis

On the basis of application, the global market is segmented into game strategies, game planning, injury prevention, sports recruitment, performance improvement, and others. The performance improvement segment is anticipated to hold a key share of the market in the coming years, as AI solutions help coaches and players focus on improving their performance on the field during the preparation stage. These solutions can examine everything from an athlete's performance to their energy levels and generate detailed performance reports. For example, AI can track the length and frequency of a runner's stride, providing information about how they can improve their speed and efficacy.

The injury prevention segment is projected to register a considerable CAGR during the forecast period, as it helps to build strength and body control for the athlete. Artificial intelligence is used in sports to track player performance and to enhance the player’s health by making injury-prevention recommendations. By analyzing data on player movements, the AI identifies the potential risk factors for injury such as poor biomechanics or muscle imbalances. This information is used to develop targeted injury prevention programs, that help athletes stay healthy and prolong their careers.

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Sport Segment Analysis

Based on sport, the artificial intelligence (AI) in sports analytics market is segregated into cricket, football, rugby, baseball, basketball, and others. The football segment is expected to register a robust growth rate during the forecast period, due to the increased attendance for football leagues such as MLS, ISL, UEFA Champions League, and others.

Data analytics allow teams to make more informed decisions about retention, player recruitment, and training. AI in football helps to perform the analysis of data to enhance player performance. Machine learning (ML) systems are used to collect and analyze data such as speed, run distance, number of passes, and others. This data helps coaches to make the right decisions about the training and preparation of players.

The basketball segment is projected to hold a key market share in the coming years. Basketball teams use high-tech data analytics solutions to formulate strategies & game plans, scout for promising players, and avoid player injuries. AI systems allow for the effortless collection and analysis of vast amounts of complex basketball data. AI helps basketball players by enhancing their shooting skills and dribbling pace through analytics.  

Deployment Segment Analysis

On the basis of deployment, the global market is segmented into cloud and on-premise. The cloud segment is expected to expand at a significant pace during the projection period, due to the increasing demand for structured and visualized data. Players' performance data from the device is uploaded to the cloud so that everyone is able to view and analyze the data. It helps in tracking the performance of a player and identifies the areas where the player's activity needs improvement.

Increasing demand for secure, cost-effective, and scalable solutions has boosted the demand for cloud across large enterprises. The segment growth is further attributed to the rising penetration of connected devices, digital transformation, and high automation among small & medium-sized businesses. For Instance,

• In October 2022, Epoxy.ai announced the commercial launch of the gaming market’s first sports media and betting-specific insights platform, “Audience Cloud”. It is a sports gaming and media analysis solution using purpose-built artificial intelligence to offer an ongoing view of sports fan behavior.

Solution Segment Analysis

In terms of solution, the artificial intelligence (AI) in sports analytics market is segregated into video analytics, smart wearable technology, bio analytics, and others. The smart wearable technology segment is expected to register a considerable CAGR during the forecast period. Wearable technology develops player performance by delivering crucial data that allows one to track overtime and tweak training programs for better effects. In addition, monitoring vital elements such as heart rate or sleep patterns helps players to understand their physical conditions better. These wearable technology gadgets are worn by sports persons and provide substantial opportunities for a detailed view of players’ recovery and stress.

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End-user Segment Analysis

Based on end user, the global market is divided into teams and individuals. The teams segment is expected to hold a key share of the market in the coming years, as AI algorithms analyze player performance information such as speed, gait patterns, and endurance. Teams can make more effective game plans by examining opponent teams' data to detect patterns and tendencies. AI systems advise the best lineup sequences during sports and create real-time strategic planning. Data analytics on the on-field helps in gathering valuable insights such as acceleration, passing trends, and player performance, which increases team spirit.

Regional Analysis

In terms of region, the global artificial intelligence (AI) in sports analytics market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is expected to dominate the market during the projection period, owing to the high number of professional organizations and the rise in revenue from the sports businesses. The regional market growth is further attributed to the increasing sports analytics adoption among sports organizations and technological advancements in emerging countries such as Canada and the US.

Several sports administrations are focusing on reducing maintenance and upgrade costs. The rising demand for cloud-based solutions is propelling the market, as they offer several advantages such as easy access, rapid scalability, and low cost. Increasing demand for AI technology and video analytics in sports with rising investments in the technologies by several key players is expected to boost the market in this region.

The market in Asia Pacific is anticipated to expand at a rapid pace in the coming years, due to the increasing digitalization trends and sports in emerging countries such as Japan, China, and India. The regional market growth is further attributed to the emergence and popularity of several sports events. The aggressive investments in sports and sporting leagues including the Indian Premiere Leagues (IPL) and several other cricket tournaments are projected to increase demand for AI sports analytics solutions. The growing focus of governments by emerging economies such as India, Japan, and China to improve sports infrastructure and participation is likely to propel the market in the region.

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