The Global Artificial Intelligence in Sports market Size accounted for USD 709 Million in 2021 and is anticipated to reach USD 8,592 Million by 2030 with a CAGR of 32.8% from 2022 to 2030.

 

Artificial intelligence is pervasive in sports today, impacting everything from in-game play to post-game analysis to fan experiences. Anything that can be quantified can be accurately predicted using data analytics and artificial intelligence. Sports provide a wealth of measurable elements, making it a great environment to test artificial intelligence. Artificial intelligence applications in sports have increased in popularity in recent years. Given the positive impact they've had as a result of their growing capabilities, they'll keep growing in the sports world. On the other hand, the following sports already significantly benefit from artificial intelligence such as performance analysis, health, fitness, safety, talent scouting, and reference and journalism.

 

Parameter	Artificial Intelligence in Sports Market
Artificial Intelligence in Sports Market Size in 2021	US$ 709 Million
Artificial Intelligence in Sports Market Forecast By 2030	US$ 8,592 Million
Artificial Intelligence in Sports Market CAGR During 2022 – 2030	32.8%
Artificial Intelligence in Sports Market Analysis Period	2018 - 2030
Artificial Intelligence in Sports Market Base Year	2021
Artificial Intelligence in Sports Market Forecast Data	2022 - 2030
Artificial Intelligence in Sports Market Segments Covered	By Component, By Technology, By Application, By Sports Type, and By Region
Artificial Intelligence in Sports Market Regional Scope	North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
Artificial Intelligence in Sports Market Key Companies Profiled	Apple Inc., Amazon Inc., ARM Limited, Catapult Group International Ltd, Atmel Corporation, Cisco Systems, Inc., Fujitsu Ltd., Facebook Inc., IBM Corporation, Microsoft Corporation, Micron Sports Level Inc., Opta Sports (Perform Group), SAP SE, Salesforce.com Inc. (Tableau Software Inc.), SAS Institute Inc., and Sportsradar AG.
Artificial Intelligence in Sports Market Report Coverage	Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis

Market Dynamics

There are several ways in which artificial intelligence in sports can help with match predictions. One is by using crowd-sourced data, which is occasionally used. Customers can use prediction markets, like betting exchanges, to wager on the results of a variety of events. It is a crowd-sourced method, and it is the most accurate predictor currently available if the market has enough participants to recognize the entire market's collective knowledge, with a decent variety of information and liberty of decision in a distributed manner. We are unable to interpret it because we are unaware of the motivations behind people's wagering choices. All conceivable data for a prediction is accessible if enough people engage in these markets. If that's the case, it's inconceivable to outperform the accuracy of the market.

The level of data being managed to capture in sports that is presently the most in-depth is tracking data. It allows for the best match reconstruction from the raw surveillance video of that match by projecting the positions of all gamers and the ball onto a pitch diagram. Analysts can query more effectively when they have a digital representation of every player on the entire pitch thanks to tracking data, as opposed to just using a video feed that shows a portion of the pitch.

Due to the closure of most stadiums and a decline in total budget in AI by the sports industry, the COVID-19 outbreak had a detrimental effect on the development of artificial intelligence in the sports market. To maintain the growth of the fan base, however, the number of applications used in the sports industry grown massively during the lock down.

Market Insights

The three categories of the global artificial intelligence in sports market are component, technology, application, sports type, and region. The segmentation based on the component includes services, hardware, and software. In terms of components, the software sector will hold the largest revenue share in 2021. Due to ongoing advancements in data storage capacity, powerful computing, and parallel processing capability to deliver top-tier AI software in different sporting verticals, the market is expanding. Based on technology, the market is categorized into data analytics, computer vision, cognitive computing, decisions as a service, machine learning, natural language processing, and others. Application segment can be further divided into game planning, game tactics, performance improvement, injury prevention, and sports recruitment. Furthermore, cricket, football, basketball, tennis, baseball, and others are the splits of the sports type segment.

Global Artificial Intelligence in Sports Market Geographical Competition

The North America, Europe, Latin America, Asian-Pacific, and the Middle East & Africa regions make up the five geographical segments of the global Artificial Intelligence in Sports market. Major sports like basketball, baseball, football, and tennis have adopted AI more frequently, which is responsible for this. Additionally, a rise in international competition in sports for top spots is a major factor driving the artificial intelligence in sports market size. However, due to an increase in technological investments in fields like cloud and digital technologies, Asia-Pacific is anticipated to experience the fastest CAGR over the forecast period.

Global Artificial Intelligence in Sports Market Segment Analysis

Artificial Intelligence in Sports Market By Component

·        Hardware

·        Services

·        Software

Artificial Intelligence in Sports Market By Technology

·        Cognitive Computing

·        Natural Language Processing

·        Computer Vision

·        Decisions as a Service

·        Machine Learning

·        Data Analytics

·        Others

Artificial Intelligence in Sports Market By Application

·        Game Planning

·        Injury Prevention

·        Performance Improvement

·        Game Tactics

·        Sports Recruitment

Artificial Intelligence in Sports Market By Sports Type

·        Baseball

·        Basketball

·        Cricket

·        Football

·        Tennis

·        Others

Artificial Intelligence in Sports Market Leading Companies

This section of the study honors the market's top vendors Apple Inc., Amazon Inc., ARM Limited, Catapult Group International Ltd, Atmel Corporation, Cisco Systems, Inc., Fujitsu Ltd., Facebook Inc., IBM Corporation, Microsoft Corporation, Micron Sports Level Inc., Opta Sports (Perform Group), SAP SE, Salesforce.com Inc. (Tableau Software Inc.), SAS Institute Inc., and Sportsradar AG.

Artificial Intelligence in Sports Market Regions

North America

·         U.S.

·         Canada

Europe

·         U.K.

·         Germany

·         France

·         Spain

·         Rest of Europe

Latin America

·         Brazil

·         Mexico

·         Rest of Latin America

Asia-Pacific

·         China

·         Japan

·         India

·         Australia

·         South Korea

·         Rest of Asia-Pacific

Middle East & Africa

·         GCC

·         South Africa

·         Rest of Middle East & Africa