AI in Sports Market Report 2025 (Global Edition)

Global AI in Sports Market Report 2025 Market Size Split by Component (Software, Service), by Application (Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment...

AI in Sports Market Report Description

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AI in Sports Market Insights Video

Competitive Landscape of AI in Sports Market

With several service providers, the artificial intelligence business in sports is both extremely competitive and dynamic. This comprises smaller, more niche businesses as well as huge global firms. Businesses must contend with severe rivalry to provide cutting-edge artificial intelligence sports solutions in today's globalized and technologically evolved world. 

AI in Sports Industry News

January 2022: The University of the Pacific is announcing a new partnership with data integration and visualization pioneer SMT and a new specialization to prepare students for careers in sports analytics.

(Source:grad.pacific.edu/pacific-newsroom/pacific-launches-sports-analytics-program-and-new-partnership-sports-technology)

November 2022: The launch of the new SPARX tab was announced by BetPARX, one of the top Pennsylvania online casinos and sports betting apps.

(Source:www.playusa.com/betparx-launches-sparx-pennsylvania-online-casino/)

Top Companies Market Share in AI in Sports Industry: (In no particular order of Rank)

• Catapult Group International Ltd.
• Facebook Inc.
• IBM Corporation
• Microsoft Corporation
• Salesforce.com Inc.
• SAP SE
• SAS Institute Inc.
• Sportradar AG
• Stats Perform
• Trumedia Networks
• Opta Sports (Perform Group)
• United Language Group
• Confidential Data
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• Data Hidden

*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.

The North America AI in Sports Market dominates the overall market!

According to Cognitive Market Research, North America dominates in the 2022 sports industry, with the highest revenue share of 42.50% for artificial intelligence. The region's market value is driven by many professional organizations and increased revenue from the sports business in North America. It boasts one of the most dynamic domestic league systems globally, with significant social and economic investments in sports at the university and league levels. The United States, as one of the region's main economies, plays a major role in contributing to this revenue. The region is experiencing growth in the artificial intelligence market due to favorable government initiatives promoting its use. Additionally, the increased use of technology is a key factor in supporting the rise of regional market value. The changing market environment and higher adoption rates of technology across North America further accelerate the adoption of artificial intelligence in sports. Ice hockey clubs are increasingly investing in analytics, while American Football remains a dominant force in the market.

The Asia-Pacific region is the fastest-growing market for artificial intelligence in sports. This growth is due to several factors, including the region's expanding sports industry, increased investment in technology, and a growing fan base. Countries like China, Japan, and South Korea are experiencing a surge in sports popularity, resulting in a higher demand for AI solutions that improve player performance, engage fans, and optimize game strategies. Furthermore, the region's tech-savvy population and willingness to embrace innovative technologies contribute to the rapid adoption of AI in sports.

The current report Scope analyzes AI in Sports Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Switzerland, Luxembourg, Rest of Europe)
• Asia Pacific (China, Japan, South Korea, India, Australia, Singapore, Taiwan, South East Asia, Rest of APAC)
• Latin America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East (Saudi Arabia, Turkey, UAE, Egypt, Qatar, Rest of Middle East)
• Africa (Nigeria, South Africa, Rest of Africa)

The above graph is for illustrative purposes only.

AI in Sports Market Analysis

By Component, AI in Sports Market segment analysis:

According to Cognitive Market Research, In 2022, the software segment accounted for about three-fourths of the global artificial intelligence in the sports market. Due to continue to lead the market in revenue during the forecast period. This is because sophisticated machine learning algorithms and Al are frequently used to sift through vast amounts of data in search of useful information and wiser choices.

The fastest growth in the market is due to rising demand for software-as-a-service (SaaS), which offers many advantages like scalability and a low one-time customer acquisition cost.

• Software
• Service

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI in Sports Industry. Request a Free Sample PDF!

By Application, Injury Prevention Sports Recruitment is the fastest-growing segment of AI in Sports Market!

The performance improvement segment asserts its dominance as a pivotal application area that resonates with sports organizations. This dominance can be attributed to AI's critical role in fine-tuning athlete performance through data-driven insights. By analyzing many factors, such as player biometrics, training regimens, and historical performance data, AI facilitates the identification of areas for improvement, leading to tailored training programs and enhanced player output.

According to Cognitive Market Research, the sports recruitment segment is the fastest-growing arena. AI's ability to sift through vast amounts of player data, spanning statistics, playing style, and potential, revolutionizes player recruitment. By automating the scouting process, AI-driven analysis identifies promising talents that might have otherwise gone unnoticed, streamlining the talent acquisition pipeline for sports teams.

• Game Planning
• Game Strategies
• Performance Improvement
• Injury Prevention Sports Recruitment
• Others

The above Graph is for representation purposes only. This chart does not depict actual Market share.

AI in Sports Deployment Model Segment Analysis

The cloud segment dominates artificial intelligence in the sports market. Due to the unparalleled flexibility and accessibility of cloud-based AI solutions, sports firms may swiftly incorporate and employ AI technology, free from the limitations imposed by on-premise infrastructure. Sports businesses can easily manage shifting workloads thanks to the scalability of cloud deployments when the requirement for real-time analytics and insights increases, as it happens during live games or training sessions.

According to Cognitive Market Research, the on-premise segment is the fastest-growing artificial intelligence in the sports market segment. This is due to the increasing demand for data security and privacy. On-premise solutions offer more control over data and security, which is important for some organizations.

• Cloud
• On-premise

AI in Sports Technology Model Segment Analysis

According to Cognitive Market Research, the technological sector dominates the machine learning market. The capacity of machine learning algorithms to naturally adapt and process massive volumes of sports-related data efficiently may cause this domination. An insightful study of gameplay dynamics, pattern recognition, player performance forecasts, program improvement, and team performance greatly benefit from machine learning techniques. 

The computer vision segment emerges as the fastest-growing contender. This growth is fueled by the increasing integration of computer vision techniques into sports technology, enabling precise tracking of player movements, ball trajectories, and game dynamics. Computer vision's ability to derive insights from visual data complements the demands of sports analysis, aiding in referee decisions, player evaluations, and even fan engagement through augmented reality experiences.

• Machine Learning
• Natural Language Processing
• Computer Vision
• Data Analytics
• Others

AI in Sports Game Type Segment Analysis

According to Cognitive Market Research, the football segment unquestionably commands dominance due to its global popularity and vast fan following. Football, one of the most-watched and widely played sports, attracts substantial investment in AI technologies to enhance player performance, refine strategies, and provide immersive fan experiences. The multifaceted nature of the game, with its complex gameplay patterns and diverse player roles, creates an ideal environment for AI-driven insights to make a significant impact.

The basketball segment emerges as the fastest-growing arena. The surge in growth is due to various factors, such as the dynamic and fast-paced characteristics of basketball. These aspects greatly benefit from the implementation of AI-driven analytics, enabling real-time decision-making. Furthermore, the sport's widespread popularity, especially in regions like North America and Asia, drives demand for AI-driven solutions that enhance player performance, optimize team strategies, and engage fans on a deeper level.

• Football
• Cricket
• Tennis
• Basketball
• Baseball
• Others

Author's Detail

Swasti Dharmadhikari

Research associate at Cognitive Market Research

LinkedIn

Profile

Swasti Dharmadhikari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.

Author's Conclusion