Global AI in Sports
Market Report
2024
Global AI in Sports market size was USD 2.1 Billion in 2022. AI in Sports Industry's Compound Annual Growth Rate will be 30.10% from 2023 to 2030.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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Global AI in Sports market size was USD 2.1 Billion in 2022. AI in Sports Industry's Compound Annual Growth Rate will be 30.10% from 2023 to 2030.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global AI in Sports Market Sales Revenue 2022 | $ 2.1 Billion |
Global AI in Sports Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 30.1% |
Market Split by Component |
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Market Split by Application |
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Market Split by Deployment Model |
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Market Split by Technology Model |
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Market Split by Game Type |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Report scope is customizable as we have a huge database of AI in Sports industry. We can deliver an exclusive report Edition/Consultation as per your data requirements. Request for your Free Sample Pages.
AI in Sports Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Artificial intelligence in sports is emerging all over the industry, covering post-game analysis, in-game activity, and the fan experience. AI is further being used to enhance the performance of players. Sports use Al in various ways, including computer vision, automated journalism, marketing, and wearable technology. In addition to computer vision, automated journalism, marketing, and wearable technology, sports use Al in several ways.
These developments empower businesses to offer better-tailored solutions and services, which, in turn, contribute to the growth of artificial intelligence in the sports industry.
SPORTX is a new intelligent marketplace that allows sports federations and content producers worldwide to license short-form sports videos directly to media buyers, maximizing additional revenue streams and their visibility among media organizations. Veritone, Inc., the company behind aiWARE, a hyper-expansive enterprise AI platform, launched SPORTS.
Recent years have seen the emergence of new technologies like artificial intelligence (AI), big data, and the Internet of Things (IoT). These technologies are now regularly employed in sports, particularly team sports, for numerous applications, including movement pattern monitoring that provides crucial information on athletic performance. Additionally, employing global positioning systems (GPS), AI analytics is assisting in quantifying these outcomes as well as the kinematic profile of players. These gadgets are frequently used in team sports analysis since they can record real-time data on time, speed, distance, position, altitude, and direction. They have been defined as a viable tool for evaluating the external load in intermittent sports.
The commercial introduction of the first fully tailored betting destination inside betPARX sports marked a major turning point in the growth of sports media and gambling, according to Epoxy.ai, the innovation leader in AI-driven sports technology.
One of the main obstacles to artificial intelligence in the sports business is the high implementation costs. This is because requirement for specialized hardware and software in artificial intelligence solutions and qualified staff to administer and maintain the systems. For instance, because it requires specialized cameras, software, and manpower, deploying a video analysis system powered by artificial intelligence can be quite expensive. High implementation costs generally constrain the market for artificial intelligence in sports. Smaller businesses may find it challenging to employ artificial intelligence technologies. The price of artificial intelligence solutions is anticipated to decrease in the upcoming years as the technology develops.
The COVID-19 pandemic is expected to support the development of skills in sport. This is because some fans are starting to accept the future of virtual contact after seeing it firsthand. Also, many of the stadiums with a large number of visitors are receiving virtual visitors due to the increasing cases of COVID-19. Additionally, AI tools can create statistical models, strategic analysis, and predictive analytics to help coaches develop athletes to their full potential. This allows live streaming of sporting events without the need for a photographer.
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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.
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.
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)
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.
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
The above graph is for illustrative purposes only.
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Global AI in Sports Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing AI in Sports Industry growth. AI in Sports market has been segmented with the help of its Component, Application Deployment Model, and others. AI in Sports market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
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.
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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.
The above Graph is for representation purposes only. This chart does not depict actual Market share.
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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.
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.
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.
Research associate at Cognitive Market Research
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.
Swasti 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.
In her current role, Swasti manages research for service and software category, leading initiatives to uncover market opportunities and enhance competitive positioning. Her strong analytical skills and ability to provide clear, impactful findings have been crucial to her team’s success. With an expertise in market research analysis, She is adept at dissecting complex problems, extracting meaningful insights, and translating them into actionable recommendations, Swasti remains an invaluable asset in the dynamic landscape of market research.
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The Global AI in Sports Market is witnessing significant growth in the near future.
In 2023, the Software segment accounted for noticeable share of global AI in Sports Market and is projected to experience significant growth in the near future.
The Game Planning segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Catapult Group International Ltd. , IBM Corporation and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Artificial intelligence in sports is emerging all over the industry, covering post-game analysis, in-game activity, and the fan experience. AI is further being used to enhance the performance of players. Sports use Al in various ways, including computer vision, automated journalism, marketing, and wearable technology.
Disclaimer:
Component | Software, Service |
Application | Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment, Others |
Deployment Model | Cloud, On-premise |
Technology Model | Machine Learning, Natural Language Processing, Computer Vision, Data Analytics, Others |
Game Type | Football, Cricket, Tennis, Basketball, Baseball, Others |
List of Competitors | 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 |
This chapter will help you gain GLOBAL Market Analysis of AI in Sports. Further deep in this chapter, you will be able to review Global AI in Sports Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
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Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
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Qualitative Analysis for the North America Market: North America AI in Sports Market Trends North America AI in Sports Technological Road Map North America AI in Sports Market Drivers North America AI in Sports Market Restraints North America AI in Sports Market Opportunity Market Attractiveness Analysis COVID – 19 Impact Analysis PESTEL Analysis Porter’s Five Forces Analysis Product Life Cycle Industrial Chain Analysis
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Chapter 3 Europe Market Analysis
You can purchase only the Executive Summary Europe Market (2019 vs 2024 vs 2031)
Chapter 4 Asia-Pacific Market Analysis
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Chapter 5 South America Market Analysis
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Chapter 6 Middle East and Africa Market Analysis
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Chapter 7 Top 10 Countries Analysis
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Component Analysis 2019 -2031, will provide market size split by Component. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Component Analysis 2019 -2031
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Chapter 11 Market Split by Application Analysis 2019 -2031
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Chapter 12 Market Split by Deployment Model Analysis 2019 -2031
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Chapter 13 Market Split by Technology Model Analysis 2019 -2031
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Chapter 14 Market Split by Game Type Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global AI in Sports market
Chapter 15 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Software have a significant impact on AI in Sports market? |
What are the key factors affecting the Software and Service of AI in Sports Market? |
What is the CAGR/Growth Rate of Game Planning during the forecast period? |
By type, which segment accounted for largest share of the global AI in Sports Market? |
Which region is expected to dominate the global AI in Sports Market within the forecast period? |
Segmentation Level Customization |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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