AI in Sports Market by Solutions (Performance Analytics, Player Monitoring, Broadcast Management), Technology (Generative AI and Other AI), and End User (Sports Associations, Sports Teams) - Global Forecast to 2030

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USD 2.61 BN
MARKET SIZE, 2030
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CAGR 16.7%
(2025-2030)
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288
REPORT PAGES
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376
MARKET TABLES

OVERVIEW

AI in Sports Market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The AI in Sports market is projected to grow from USD 1.03 billion in 2024 to USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% from 2024 to 2030. The AI in Sports market is revolutionizing the way sports are played, managed, and experienced by integrating advanced technologies like generative AI and predictive analytics. AI-powered performance analytics is transforming athlete monitoring and game strategies, enabling teams to optimize coaching techniques and improve player performance.

KEY TAKEAWAYS

  • BY OFFERING
    AI in sports is transforming the industry by enhancing player performance, optimizing game strategies, boosting fan engagement, and streamlining operations. Tools like Second Spectrum and Hudl deliver real-time performance insights and tactical adjustments, while systems from Catapult Sports monitor player health and fitness to reduce injury risks.
  • BY TYPE
    AI technologies are revolutionizing the sports industry through advancements in generative AI and other technologies like machine learning, natural language processing (NLP), computer vision, and predictive analytics. Generative AI drives innovation in game content creation, player training simulations, and fan engagement.
  • BY SPORTS TYPE
    AI is revolutionizing sports by enhancing performance, strategy, and fan engagement across individual, team, and e-sports. AI has become a driver of innovation in sports, improving athletic performance, team coordination, and the overall spectator experience.
  • BY END USE
    In the sports industry, AI is leveraged by various end users, each utilizing the technology for distinct purposes. Sports associations such as FIFA, the International Olympic Committee (IOC), and the National Basketball Association (NBA) utilize AI to improve operational efficiency, enhance decision-making, and ensure fairness in gameplay.
  • BY REGION
    Asia Pacific is expected to grow the fastest, with a CAGR of 21.1%, fueled by the countries in the region increasingly leverage AI technologies across sports for various applications, such as enhancing player performance, improving fan engagement, and optimizing operational efficiencies. The region’s burgeoning sports ecosystem, combined with the growth of digital technologies, is driving the adoption of AI, with governments, sports organizations, and tech companies working to foster innovation.
  • COMPETITIVE LANDSCAPE
    The major market players have adopted both organic and inorganic strategies including partnerships, collaborations, and investments. For instance, in September 2024, IBM partnered with ESPN to bring AI-powered insights to the Fantasy Football platform, leveraging IBM Watson to provide personalized recommendations, real-time player analysis, and enhanced user experiences for fantasy football enthusiasts.

The AI in Sports market is being driven by a combination of technological advancements and growing industry needs. The explosion of data from wearables, sensors, and smart equipment is fueling demand for advanced analytics, while improvements in machine learning and computer vision enable precise performance tracking, injury prediction, and tactical decision-making. Teams and coaches are increasingly relying on real-time insights to optimize player health, training loads, and in-game strategies, while broadcasters and media companies leverage AI for automated highlight generation, immersive content, and personalized fan experiences.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

AI is rapidly transforming the sports industry, driving significant disruptions and opportunities for businesses. Advanced machine learning and predictive analytics are enhancing athlete performance and preventing injuries by analyzing data from wearables and sensors, enabling timely interventions and reducing downtime. Simultaneously, AI is personalizing fan engagement through tailored content, merchandise recommendations, and customized viewing experiences, boosting loyalty and creating new revenue streams. Coaches and analysts are leveraging AI for tactical insights, optimizing strategies through data-driven decision-making, while broadcasters are using AI to deliver real-time highlights, augmented reality overlays, and enriched viewing experiences. However, the widespread adoption of AI also raises ethical and regulatory challenges around data privacy, fairness, and transparency, requiring sports organizations to establish clear guidelines.

AI in Sports Market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Enhanced player performance analytics driving competitive advantage
  • Growth of AI in sports driven by increasing availability of data
RESTRAINTS
Impact
Level
  • High implementation costs limiting widespread adoption
  • Data privacy concerns hindering trust in AI solutions
OPPORTUNITIES
Impact
Level
  • AI-driven personalization unlocking new revenue streams in fan experiences
  • Significant opportunity for expanding AI in sports training, scouting, and performance enhancement
CHALLENGES
Impact
Level
  • Complexity in integrating AI with existing sports infrastructure
  • Shortage of skilled professionals hindering AI integration in sports

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Growth of AI in sports driven by increasing availability of data

The growth of AI in sports is largely fueled by the increasing availability of data. With advancements in technology, large volumes of data are now accessible through various channels, such as wearable devices, performance tracking systems, and fan engagement platforms. This data provides teams and organizations with valuable insights that can enhance player performance, refine strategies, and predict injuries. For instance, the NBA (National Basketball Association) leverages player tracking systems to assess movement and performance, while wearable devices like those from Catapult Sports monitor players' health metrics to guide training and injury prevention. As the volume of data continues to expand, AI systems are becoming more precise, enhancing decision-making and operational efficiency.

Restraint: High Cost of Implementing AI Solutions in Sports is Restricting Their Adoption

One major restraint to the widespread adoption of AI in sports is the high cost associated with implementing and maintaining these systems. AI-driven solutions, including injury prediction models and performance optimization tools, often require substantial investments in technology infrastructure, specialized software, and hardware. Additionally, the need for skilled professionals to manage these systems increases operational costs. These financial burdens can be prohibitive for smaller organizations or those with limited resources. Consequently, the cost of adoption remains a significant barrier for many sports organizations, limiting their ability to integrate AI technologies effectively.

Opportunity: Significant Opportunity for Expanding AI in Sports Training, Scouting, and Performance Enhancement

The integration of AI in sports presents a significant opportunity for growth, particularly in areas such as training, player performance optimization, and talent scouting. AI-driven tools can offer personalized insights that help coaches and teams refine training regimens tailored to individual players. Additionally, AI systems play a crucial role in scouting by assessing players’ potential and identifying the best team fits based on performance data. For example, AI platforms such as IBM’s Watsonx are used to evaluate players' statistics and match them with team needs. The opportunity for further growth lies in AI's ability to evolve continuously, providing deeper insights into player performance, predicting injury risks, and optimizing overall team strategies, which can be a game-changer for sports organizations aiming to stay competitive.

Challenge: Shortage of Skilled Professionals is Hindering AI Integration in Sports

A key challenge in the integration of AI in sports is the shortage of professionals who have both technical expertise in AI and a deep understanding of sports. AI-driven systems, such as those used for performance tracking, injury prediction, and game strategy, require specialists who can navigate the complexities of both fields. However, there is a limited supply of professionals with this dual expertise, which can impede the implementation of AI technologies. This skill gap poses a significant challenge for sports organizations, making it difficult to realize the potential of AI tools fully. Bridging this gap is essential for the continued growth and innovation in AI-powered sports applications.

AI in Sports Market: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Catapult is an Australian sports analytics company founded in 1999 through collaboration with the Australian Institute of Sport (AIS) and the Australian Cooperative Research Centres (CRC) Program. The company specializes in wearable technology to monitor and measure athletes’ performance in real time. FIFA needed to approve Catapult's wearable tracking devices for use in live games. Gained global recognition and expanded its reach to over 500 sports teams. Strengthened its brand by securing partnerships with major football teams in the 2018 FIFA World Cup. Increased its market value by around USD 200 million.
Orlando Magic is a professional basketball team based in Orlando, Florida, competing in the NBA. The team is committed to enhancing fan experiences in the arena and through digital channels. Orlando Magic also aims to optimize operational efficiency and increase profitability across its business operations. The team needed to improve fan engagement by delivering personalized and real-time experiences during games and beyond. Enhanced fan engagement with tailored experiences, improving satisfaction and loyalty. Increased ticket sales and revenue through data-driven pricing and promotions. Streamlined operations and decision-making processes with real-time insights. Improved ability to measure and predict fan behaviors, creating more personalized marketing opportunities
Vodafone is a global telecommunications company that provides mobile and broadband services, with operations in over 20 countries. The company sought to enhance its sports content offerings through AI-driven insights. Vodafone integrated Stats Perform’s AI technology, enabling real-time data analysis and predictive insights. This improved match engagement by delivering dynamic, tailored content to viewers and attracted six months' worth of users in just one week. Increased engagement through customized match insights.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The AI in sports market ecosystem comprises various solutions and service providers along with various regulatory bodies. These companies have been operating in the market for several years and possess a diversified product portfolio and state-of-the-art technologies. Prominent companies in this market include GlobalStep (US), IBM (US), Intel (US), Microsoft (US), AWS (US), and SAP SE (Germany).

AI in Sports Market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

AI in Sports Market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

AI in Sports Market, By Offering

AI in sports is transforming the industry by enhancing player performance, optimizing game strategies, boosting fan engagement, and streamlining operations. Tools like Second Spectrum and Hudl deliver real-time performance insights and tactical adjustments, while systems from Catapult Sports monitor player health and fitness to reduce injury risks. AI solutions such as IBM Watson personalize fan experiences with interactive stats, and broadcast platforms automate content delivery to improve viewer engagement. Additionally, AI supports ticket pricing, sponsorship analytics, and talent scouting, enabling smarter decision-making. Complementary services, including consulting, system integration, maintenance, and outsourced management, ensure seamless adoption and effective use of AI technologies. Together, these solutions and services are revolutionizing sports by driving efficiency, improving strategy, and elevating the overall fan experience.

AI in Sports Market, By Type

AI technologies are revolutionizing the sports industry through advancements in generative AI and other technologies like machine learning, natural language processing (NLP), computer vision, and predictive analytics. Generative AI drives innovation in game content creation, player training simulations, and fan engagement. For instance, AI models like ChatGPT and DALL·E are being adapted to create personalized fan experiences. At the same time, advanced training simulations mimic real-game scenarios for athletes to refine their skills. In machine learning, predictive models analyze vast amounts of player and game data to uncover patterns, optimize strategies, and forecast outcomes. NLP tools enhance communication and fan interaction by providing real-time multilingual commentary and automated match summaries. Similarly, computer vision enables precise tracking of player movements, ball trajectories, and referee decisions, as seen in sports like tennis with Hawk-Eye systems or in soccer with VAR technology. Predictive analytics enhances decision-making for coaches and management by forecasting injury risks, game results, and player performance based on historical data.

AI in Sports Market, By Sports Type

AI is revolutionizing sports by enhancing performance, strategy, and fan engagement across individual, team, and e-sports. In athletics, wearables monitor biomechanics for optimized training, while tools like Hawk-Eye in tennis and telemetry in motorsports refine strategies and performance. In boxing, AI analyzes sparring sessions to identify weaknesses and improve techniques. Team sports such as cricket, soccer, basketball, and hockey leverage AI for player monitoring, tactical adjustments, and performance analytics, with cricket and soccer teams using AI for real-time game strategies, basketball teams applying AI-powered video analysis for shooting and defense, and hockey employing wearables to track fatigue and prevent injuries. In e-sports, AI enhances gameplay analysis, predicts outcomes, and enriches fan experiences through interactive dashboards and live insights. Collectively, AI has become a driver of innovation in sports, improving athletic performance, team coordination, and the overall spectator experience.

AI in Sports Market, By End Use

In the sports industry, AI is leveraged by various end users, each utilizing the technology for distinct purposes. Sports associations such as FIFA, the International Olympic Committee (IOC), and the National Basketball Association (NBA) utilize AI to improve operational efficiency, enhance decision-making, and ensure fairness in gameplay. For instance, FIFA uses AI for video assistant referee (VAR) technology to analyze real-time footage, aiding in accurate decision-making during critical moments of matches. Similarly, sports teams at both professional and grassroots levels use AI-driven tools for performance monitoring, injury prediction, and recruitment strategies. Premier League clubs like Manchester City employ AI-powered platforms to analyze player statistics and optimize training regimens, while smaller teams use data analytics to scout potential talent more effectively. Sports media & broadcasting companies, such as ESPN and NBC Sports, leverage AI to enhance the fan experience by providing instant replays, generating highlights, and even predicting match outcomes, making broadcasts more interactive. AI also helps deliver personalized content, allowing fans to engage with their preferred teams, players, and events.

REGION

North America is estimated to account for the largest market share during the forecast period

North America holds the largest share in the AI-driven sports industry, fueled by technological advancements and a strong focus on data-driven decision-making. The region benefits from a well-established technological infrastructure and increasing demand for real-time analytics in player performance, fan engagement, and operational efficiency. In the US, major sports leagues such as the NFL, NBA, and MLB are pioneering the use of AI to enhance game strategies and transform fan experiences. Canada is leveraging AI to improve athlete training and foster grassroots sports development. Prominent companies like IBM, Microsoft, and Oracle dominate the market with offerings that include predictive analytics, automated broadcasting, and immersive fan engagement solutions. Despite its growth, challenges such as high implementation costs and data privacy concerns pose obstacles. Ongoing collaborations and technological advancements are expected to drive further innovation in the region.

AI in Sports Market Region

AI in Sports Market: COMPANY EVALUATION MATRIX

In the AI in sports market, the competitive landscape is defined by the high-growth trend toward data-driven performance optimization and immersive fan experiences. Microsoft (Star) secures its leadership position by pioneering cloud-based AI solutions, such as Azure AI and Copilot, which are transforming athlete training and spectator engagement by automating complex tasks such as real-time game analysis and personalized content delivery for major leagues, including the NFL and Premier League. Conversely, Intel (Emerging Leader) is gaining momentum with its hardware-accelerated AI platforms, focusing on enabling edge computing for accessible sports analytics. Intel powers innovative "talent scouting" applications and Olympic broadcast enhancements, leveraging its processor technologies and partnerships to provide the scalable computational backbone necessary for the entire ecosystem's advancement.

AI in Sports Market Evaluation Matrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2024 (Value) USD 1.03 Billion
Market Forecast in 2030 (value) USD 2.61 Billion
Growth Rate CAGR of 16.7% from 2024 to 2030
Years Considered 2019–2030
Base Year 2023
Forecast Period 2024–2030
Units Considered Value (USD Million/Billion)
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered By offering, type, sports type, end user, and region
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

WHAT IS IN IT FOR YOU: AI in Sports Market REPORT CONTENT GUIDE

AI in Sports Market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Service Provider (US)
  • Region-specific market size & forecast
  • Further breakdown of the AI in retail market in North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • Identifies high-growth regional opportunities, enabling tailored market entry strategies
  • Optimizes resource allocation and investment based on region-specific demand and trends
Company Information Detailed analysis and profiling of additional market players (up to 5)
  • Broadens competitive insights, helping clients make informed strategic and investment decisions
  • Reveals market gaps and opportunities, supporting differentiation and targeted growth initiatives

RECENT DEVELOPMENTS

  • November 2024 : IBM partnered with UFC to launch AI-powered solutions, utilizing IBM Watson for real-time athlete performance analysis. This collaboration enhances fan engagement by providing personalized experiences, including tailored content and insights, to improve athlete training and fan interaction during UFC events.
  • May 2024 : Intel introduced AI solutions for the Paris 2024 Olympics to enhance athlete performance, optimize training, and boost fan engagement. The technology provides real-time performance data for coaches to improve training and reduce injuries while offering fans personalized content and immersive experiences.
  • March 2024 : AWS and DFL expanded their partnership to implement AI-driven solutions in football analytics. This collaboration enhances player performance analysis, team strategies, and match predictions through AI tools like machine learning and data analytics. It also aims to improve fan engagement with real-time data, while aiding in injury prevention and optimizing overall game tactics.

 

Table of Contents

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TITLE
PAGE NO
INTRODUCTION
30
RESEARCH METHODOLOGY
35
EXECUTIVE SUMMARY
44
PREMIUM INSIGHTS
47
MARKET OVERVIEW AND INDUSTRY TRENDS
51
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Enhanced player performance analytics driving competitive advantage
    - Improved fan engagement resulting in increased revenue generation
    - Advanced injury prediction tools leading to better athlete safety
    RESTRAINTS
    - High implementation costs limiting widespread adoption
    - Data privacy concerns hindering trust in AI solutions
    - Limited AI expertise creating barriers for smaller sports organizations
    OPPORTUNITIES
    - AI-driven personalization unlocking new revenue streams in fan experiences
    - Growth in e-sports fostering innovation in AI applications
    - Integration of wearable technology enhancing real-time performance insights
    CHALLENGES
    - Complexity in integrating AI with existing sports infrastructure
    - Potential algorithmic bias impacting fairness in sports analytics
    - Evolving regulatory frameworks creating uncertainty for AI deployment
  • 5.3 BRIEF HISTORY OF EVOLUTION OF AI IN SPORTS SOLUTIONS AND SERVICES
  • 5.4 AI IN SPORTS MARKET: ECOSYSTEM ANALYSIS/MARKET MAP
  • 5.5 CASE STUDY ANALYSIS
    CATAPULT ENHANCED ATHLETE PERFORMANCE TRACKING WITH ADVANCED WEARABLE TECH SOLUTIONS
    ORLANDO MAGIC LEVERAGED SAS FOR DATA-DRIVEN FAN ENGAGEMENT AND BUSINESS INSIGHTS
    VODAFONE BOOSTED ENGAGEMENT WITH REAL-TIME AI INSIGHTS FROM STATS PERFORM’S TECHNOLOGY
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 PLANNING AND DESIGNING
  • 5.8 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    - FIFA (Fédération Internationale de Football Association)
    - International Olympic Committee (IOC)
    - European Union (EU)
    KEY REGULATIONS
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.9 PRICING ANALYSIS
    PRICING OF SOLUTIONS, BY KEY PLAYER, 2023
    INDICATIVE PRICING ANALYSIS, BY SPORTS TYPE, 2023
  • 5.10 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Machine Learning & Deep Learning
    - Computer Vision
    - Natural Language Processing (NLP)
    - Predictive Analytics
    - Robotic Process Automation (RPA)
    COMPLEMENTARY TECHNOLOGIES
    - Augmented Reality (AR)/Virtual Reality (VR)
    - Sensor Integration Technology
    - Big Data Analytics
    - Cloud Computing
    - Cybersecurity
    ADJACENT TECHNOLOGIES
    - Blockchain
    - 5G Connectivity
    - Edge Computing
    - Digital Twins
  • 5.11 PATENT ANALYSIS
  • 5.12 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • 5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.15 KEY CONFERENCES AND EVENTS
  • 5.16 TECHNOLOGY ROADMAP FOR AI IN SPORTS MARKET
    SHORT-TERM ROADMAP (2023–2025)
    MID-TERM ROADMAP (2026–2028)
    LONG-TERM ROADMAP (2029–2030)
  • 5.17 BEST PRACTICES IN AI IN SPORTS MARKET
    PERFORMANCE ANALYSIS AND INJURY PREVENTION
    AI-POWERED FAN ENGAGEMENT
    REAL-TIME GAME ANALYTICS AND STRATEGY OPTIMIZATION
    AUTOMATED CONTENT CREATION
    TALENT SCOUTING AND RECRUITMENT
  • 5.18 CURRENT AND EMERGING BUSINESS MODELS
    SUBSCRIPTION-BASED ANALYTICS PLATFORMS
    DATA-AS-A-SERVICE (DAAS)
    SPONSORSHIP AND ADVERTISING OPTIMIZATION (AI-DRIVEN)
  • 5.19 AI IN SPORTS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
  • 5.20 HS CODE ANALYSIS: ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542)
    EXPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542)
    IMPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542)
  • 5.21 INVESTMENT AND FUNDING SCENARIO
  • 5.22 IMPACT OF GENERATIVE AI ON AI IN SPORTS MARKET
    TOP USE CASES AND MARKET POTENTIAL
    - Key use cases
    BEST PRACTICES
    - Sports Analytics Industry
    - Fan Engagement Industry
    - Injury Prevention & Rehabilitation Industry
    CASE STUDIES OF GENERATIVE AI IMPLEMENTATION
    - Global Sports Streaming Service Enhanced Viewer Engagement with AI-generated Content
    - Football Team Optimized Player Performance and Injury Prevention Using AI-driven Data Insights
    - Sports Apparel Brand Increased Merchandise Sales by Creating I-generated Custom Designs
    CLIENT READINESS AND IMPACT ASSESSMENT
    - Client A: Major Football Club
    - Client B: Global Sports Streaming Platform
    - Client C: Professional Basketball Team
AI IN SPORTS MARKET, BY OFFERING
86
  • 6.1 INTRODUCTION
    OFFERING: MARKET DRIVERS
  • 6.2 SOLUTIONS
    PERFORMANCE ANALYTICS
    - AI-based performance analytics assess player and team performance to improve gameplay and prevent injuries
    PLAYER MONITORING
    - AI-powered player monitoring tracks health, fitness, and performance metrics, helping teams manage workload and prevent injuries
    GAME STRATEGY & COACHING SOLUTIONS
    - AI tools optimize game strategies and coaching methods to enhance decision-making and performance during competitions
  • 6.3 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT
    AI SOLUTIONS ENHANCE FAN EXPERIENCES BY PROVIDING REAL-TIME STATS, PERSONALIZED INTERACTIONS, AND IMMERSIVE FEATURES
    BROADCAST MANAGEMENT
    - AI-driven broadcast solutions optimize content delivery, improve viewer experience, and streamline broadcasting processes
    OTHER SOLUTIONS
  • 6.4 SERVICES
    PROFESSIONAL SERVICES
    TRAINING & CONSULTING
    - Consulting services help sports organizations plan and implement AI strategies tailored to their needs, ensuring optimal adoption and use of AI solutions
    SYSTEM INTEGRATION & IMPLEMENTATION
    - System integration services deploy AI solutions seamlessly within existing sports operations, ensuring smooth adoption and functionality
    SUPPORT & MAINTENANCE
    - Support and maintenance services ensure AI systems function properly over time, providing updates, troubleshooting, and ongoing monitoring
    MANAGED SERVICES
    - Outsourced management services handle the day-to-day running and optimization of AI systems, enabling sports organizations to focus on core operations
AI IN SPORTS MARKET, BY TYPE
103
  • 7.1 INTRODUCTION
    TYPE: MARKET DRIVERS
  • 7.2 GENERATIVE AI
  • 7.3 OTHER AI
    MACHINE LEARNING
    - Machine learning enables systems to learn from data and make predictions, optimizing player performance, injury prevention, and fan insights
    NATURAL LANGUAGE PROCESSING
    - NLP allows machines to understand and interact with human language, improving fan engagement and automating commentary and content analysis
    COMPUTER VISION
    - Computer vision interprets visual data, enabling accurate analysis of game footage and player movements, improving coaching and officiating
    PREDICTIVE ANALYTICS
    - Predictive analytics uses historical data and algorithms to forecast future trends, optimizing strategies, predicting game outcomes, and analyzing player performance
AI IN SPORTS MARKET, BY SPORTS TYPE
109
  • 8.1 INTRODUCTION
    SPORTS TYPE: MARKET DRIVERS
  • 8.2 INDIVIDUAL SPORTS
    BOXING
    - Advanced analytics and motion tracking enable boxers to improve techniques and track opponent tendencies
    TENNIS
    - AI-powered tools assist players in analyzing match performance and predicting opponent strategies
    RACING
    - AI systems optimize vehicle performance and driver strategies for competitive racing
    ATHLETICS
    - Biometric monitoring and performance analytics aid athletes in achieving peak physical output
    OTHERS
  • 8.3 TEAM SPORTS
    CRICKET
    - AI assists in analyzing player and team data to improve batting and bowling strategies
    SOCCER
    - Real-time analytics and tactical insights revolutionize team management and gameplay
    AMERICAN FOOTBALL/RUGBY
    - AI helps strategize, monitor player safety, and enhance on-field performance
    BASKETBALL
    - Advanced analytics optimize shooting, defense, and player rotations for improved results
    BASEBALL
    - AI-driven tools refine strategy, from batting lineups to field positioning
    HOCKEY
    - Video analysis and wearable tracking support tactical decisions and player well-being
    OTHERS
  • 8.4 E-SPORTS
AI IN SPORTS MARKET, BY END USER
127
  • 9.1 INTRODUCTION
    END USER: MARKET DRIVERS
    SPORTS ASSOCIATIONS
    - AI empowers sports associations in fair play, logistical management, and fan engagement, enhancing governance and global event execution
    SPORTS TEAMS
    - Sports teams integrate AI for performance analytics, injury prevention, and player recruitment, ensuring competitive advantage
    SPORTS MEDIA & BROADCASTING
    - AI revolutionizes sports broadcasting by automating content creation, enhancing fan engagement, and delivering tailored experiences
    OTHER END USERS
AI IN SPORTS MARKET, BY REGION
134
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - US witnesses widespread AI integration in professional leagues and fan engagement
    CANADA
    - Canada emphasizes athlete training and grassroots development with AI technologies
  • 10.3 EUROPE
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - UK excels in leveraging AI for elite sports broadcasting and officiating
    GERMANY
    - Germany focuses on wearable technology and fan-centric AI applications
    FRANCE
    - France integrates AI in immersive fan experiences and sports event management
    ITALY
    - Italy invests in AI for enhanced coaching systems and automated highlights
    SPAIN
    - Spain emphasizes on AI in talent development and real-time match applications
    NORDIC COUNTRIES
    - Nordic countries lead in AI for winter sports and sustainable stadium technologies
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - China is leveraging AI to boost player performance and enhance fan engagement in sports
    JAPAN
    - Japan is applying AI for player health management and improving fan experiences in sports
    INDIA
    - India is using AI to revolutionize sports analytics and player development
    AUSTRALIA & NEW ZEALAND
    - Australia & New Zealand are integrating AI to optimize performance and fan interactions in sports
    SOUTH KOREA
    - South Korea is adopting AI for real-time sports analytics and e-sports advancements
    SOUTHEAST ASIA
    - Southeast Asia is embracing AI to improve sports performance and fan engagement
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    UAE
    - UAE accelerates AI integration in sports with smart stadium initiatives and enhanced fan engagement platforms
    KSA
    - Saudi Arabia’s focus on Vision 2030, hosting mega-events, and sports technology to drive AI adoption
    KUWAIT
    - Kuwait emphasizes AI in grassroots sports, talent development, and local sports programs
    BAHRAIN
    - Bahrain leverages AI for advanced event management, youth sports development, and immersive fan experiences
    SOUTH AFRICA
    - South Africa leverages AI for athlete performance enhancement, injury prevention, and sports analytics
    REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Brazil is at forefront of AI adoption in sports, with AI technologies revolutionizing player training, tactical analysis, and injury prevention
    MEXICO
    - In Mexico, AI is not just reshaping football but also transforming other sports such as Lucha Libre
    ARGENTINA
    - In Argentina, AI technologies are being used to refine sports training, analyze player performance, and enhance fan experience
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
206
  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
  • 11.3 REVENUE ANALYSIS, 2019–2023
  • 11.4 MARKET SHARE ANALYSIS, 2023
    MARKET RANKING ANALYSIS
  • 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
  • 11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES,2021-2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 11.7 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
  • 11.8 BRAND/PRODUCT COMPARISON ANALYSIS
  • 11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AI IN SPORTS MARKET PROVIDERS
COMPANY PROFILES
228
  • 12.1 KEY PLAYERS
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAP SE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    STATS PERFORM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SPORTRADAR AG
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAS INSTITUTE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    INTEL
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    EXLSERVICE HOLDINGS
    HUDL
    GLOBALSTEP
    HCL TECHNOLOGIES
    ZEBRA TECHNOLOGIES
    SALESFORCE
  • 12.2 STARTUPS/SMES
    CATAPULT
    KITMAN LABS
    SPORTLOGIQ
    CHYRONHEGO CORPORATION
    GENIUS SPORTS
    PLAYSIGHT
    QUANTIPHI
    SCISPORTS
    TRUMEDIA NETWORKS
    SPIIDEO
ADJACENT/RELATED MARKETS
271
  • 13.1 INTRODUCTION
    RELATED MARKETS
  • 13.2 SPORTS TECHNOLOGY MARKET - GLOBAL FORECAST 2027
    MARKET DEFINITION
  • 13.3 SPORTS ANALYTICS MARKET – GLOBAL FORECAST 2026
    MARKET DEFINITION
APPENDIX
278
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATES, 2019–2023
  • TABLE 2 AI IN SPORTS MARKET: ECOSYSTEM
  • TABLE 3 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 4 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 5 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 6 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 7 AVERAGE SELLING PRICE OF KEY PLAYERS, BY SOLUTION, 2023
  • TABLE 8 INDICATIVE PRICING ANALYSIS, BY SPORTS TYPE, 2023
  • TABLE 9 LIST OF KEY PATENTS
  • TABLE 10 PORTER’S FIVE FORCES’ IMPACT ON MARKET
  • TABLE 11 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • TABLE 12 KEY BUYING CRITERIA FOR END USERS
  • TABLE 13 AI IN SPORTS MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2024–2025
  • TABLE 14 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 15 AI IN SPORTS MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 16 SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 17 SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 18 SOLUTIONS: MARKET, BY SPORTS SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 19 SOLUTIONS: MARKET, BY SPORTS SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 20 PERFORMANCE ANALYTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 21 PERFORMANCE ANALYTICS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 22 PLAYER MONITORING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 23 PLAYER MONITORING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 24 GAME STRATEGY & COACHING SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 25 GAME STRATEGY & COACHING SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 26 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 27 FAN ENGAGEMENT & EXPERIENCE ENHANCEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 28 BROADCAST MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 29 BROADCAST MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 30 OTHER SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 31 OTHER SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 32 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 33 SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 34 SERVICES: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 35 SERVICES: MARKET, BY SERVICE TYPE, 2024–2030 (USD MILLION)
  • TABLE 36 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 37 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 38 PROFESSIONAL SERVICES: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 39 PROFESSIONAL SERVICES: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 40 CONSULTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 41 CONSULTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 42 SYSTEM INTEGRATION & IMPLEMENTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 43 SYSTEM INTEGRATION & IMPLEMENTATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 44 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 45 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 46 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 47 MANAGED SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 48 MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 49 AI IN SPORTS MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 50 GENERATIVE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 51 GENERATIVE AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 52 OTHER AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 53 OTHER AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 54 MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 55 AI IN SPORTS MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 56 INDIVIDUAL SPORTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 57 INDIVIDUAL SPORTS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 58 INDIVIDUAL SPORTS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 59 INDIVIDUAL SPORTS: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 60 BOXING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 61 BOXING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 62 TENNIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 63 TENNIS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 64 RACING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 65 RACING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 66 ATHLETICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 67 ATHLETICS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 68 OTHERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 69 OTHERS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 70 TEAM SPORTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 71 TEAM SPORTS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 72 TEAM SPORTS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 73 TEAM SPORTS: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 74 CRICKET: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 75 CRICKET: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 76 SOCCER: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 77 SOCCER: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 78 AMERICAN FOOTBALL/RUGBY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 79 AMERICAN FOOTBALL/RUGBY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 80 BASKETBALL: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 81 BASKETBALL: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 82 BASEBALL: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 83 BASEBALL: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 84 HOCKEY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 85 HOCKEY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 86 OTHER TEAM SPORTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 87 OTHER TEAM SPORTS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 88 E-SPORTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 89 E-SPORTS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 90 MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 91 AI IN SPORTS MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 92 SPORTS ASSOCIATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 93 SPORTS ASSOCIATIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 94 SPORTS TEAMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 95 SPORTS TEAMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 96 SPORTS MEDIA & BROADCASTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 97 SPORTS MEDIA & BROADCASTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 98 OTHER END USERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 99 OTHER END USERS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 100 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 101 AI IN SPORTS MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 102 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 103 NORTH AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 104 NORTH AMERICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 105 NORTH AMERICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 106 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 107 NORTH AMERICA: AI IN SPORTS MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 108 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 109 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 110 NORTH AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 111 NORTH AMERICA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 112 NORTH AMERICA: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 113 NORTH AMERICA: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 114 NORTH AMERICA: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 115 NORTH AMERICA: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 116 NORTH AMERICA: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 117 NORTH AMERICA: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 118 NORTH AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 119 NORTH AMERICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 120 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 122 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 123 US: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 124 US: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 125 US: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 126 US: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 127 US: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 128 US: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 129 US: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 130 US: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 131 US: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 132 US: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 133 US: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 134 US: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 135 US: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 136 US: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 137 US: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 138 US: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 139 US: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 140 CANADA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 141 CANADA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 142 CANADA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 143 CANADA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 144 CANADA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 145 CANADA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 146 CANADA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 147 CANADA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 148 CANADA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 149 CANADA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 150 CANADA: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 151 CANADA: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 152 CANADA: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 153 CANADA: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 154 CANADA: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 155 CANADA: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 156 CANADA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 157 CANADA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 159 EUROPE: AI IN SPORTS MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 160 EUROPE: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 161 EUROPE: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 162 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 164 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 165 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 166 EUROPE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 167 EUROPE: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 168 EUROPE: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 169 EUROPE: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 170 EUROPE: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 171 EUROPE: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 172 EUROPE: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 173 EUROPE: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 174 EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 175 EUROPE: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 176 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 177 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 178 UK: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 179 UK: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 180 UK: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 181 UK: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 182 UK: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 183 UK: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 184 UK: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 185 UK: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 186 UK: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 187 UK: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 188 UK: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 189 UK: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 190 UK: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 191 UK: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 192 UK: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 193 UK: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 194 UK: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 195 UK: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: AI IN SPORTS MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 199 ASIA PACIFIC: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 200 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 201 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 202 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 203 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 204 ASIA PACIFIC: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 205 ASIA PACIFIC: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 206 ASIA PACIFIC: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 207 ASIA PACIFIC: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 208 ASIA PACIFIC: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 209 ASIA PACIFIC: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 210 ASIA PACIFIC: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 211 ASIA PACIFIC: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 212 ASIA PACIFIC: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 213 ASIA PACIFIC: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 214 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 215 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 216 CHINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 217 CHINA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 218 CHINA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 219 CHINA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 220 CHINA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 221 CHINA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 222 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 223 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 224 CHINA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 225 CHINA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 226 CHINA: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 227 CHINA: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 228 CHINA: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 229 CHINA: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 230 CHINA: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 231 CHINA: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 232 CHINA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 233 CHINA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 234 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 235 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 236 MIDDLE EAST & AFRICA: AI IN SPORTS MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 237 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 238 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 239 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 240 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 241 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 242 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 243 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 244 MIDDLE EAST & AFRICA: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 245 MIDDLE EAST & AFRICA: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 246 MIDDLE EAST & AFRICA: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 247 MIDDLE EAST & AFRICA: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 248 MIDDLE EAST & AFRICA: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 249 MIDDLE EAST & AFRICA: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 250 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 251 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 252 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 253 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 254 KSA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 255 KSA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 256 KSA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 257 KSA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 258 KSA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 259 KSA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 260 KSA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 261 KSA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 262 KSA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 263 KSA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 264 KSA: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 265 KSA: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 266 KSA: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 267 KSA: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 268 KSA: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 269 KSA: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 270 KSA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 271 KSA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 272 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 273 LATIN AMERICA: AI IN SPORTS MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 274 LATIN AMERICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 275 LATIN AMERICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 276 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 277 LATIN AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 278 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 279 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 280 LATIN AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 281 LATIN AMERICA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 282 LATIN AMERICA: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 283 LATIN AMERICA: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 284 LATIN AMERICA: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 285 LATIN AMERICA: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 286 LATIN AMERICA: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 287 LATIN AMERICA: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 288 LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 289 LATIN AMERICA: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 290 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 291 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 292 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 293 BRAZIL: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 294 BRAZIL: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 295 BRAZIL: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 296 BRAZIL: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 297 BRAZIL: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 298 BRAZIL: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 299 BRAZIL: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 300 BRAZIL: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 301 BRAZIL: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 302 BRAZIL: MARKET, BY SPORTS TYPE, 2019–2023 (USD MILLION)
  • TABLE 303 BRAZIL: MARKET, BY SPORTS TYPE, 2024–2030 (USD MILLION)
  • TABLE 304 BRAZIL: MARKET, BY INDIVIDUAL SPORT, 2019–2023 (USD MILLION)
  • TABLE 305 BRAZIL: MARKET, BY INDIVIDUAL SPORT, 2024–2030 (USD MILLION)
  • TABLE 306 BRAZIL: MARKET, BY TEAM SPORT, 2019–2023 (USD MILLION)
  • TABLE 307 BRAZIL: MARKET, BY TEAM SPORT, 2024–2030 (USD MILLION)
  • TABLE 308 BRAZIL: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 309 BRAZIL: MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 310 OVERVIEW OF STRATEGIES ADOPTED BY KEY MARKET VENDORS, 2020–2024
  • TABLE 311 AI IN SPORTS MARKET: DEGREE OF COMPETITION
  • TABLE 312 REGIONAL FOOTPRINT
  • TABLE 313 OFFERING FOOTPRINT
  • TABLE 314 TYPE FOOTPRINT
  • TABLE 315 SPORTS TYPE FOOTPRINT
  • TABLE 316 END USER FOOTPRINT
  • TABLE 317 AI IN SPORTS MARKET: KEY STARTUPS/SMES
  • TABLE 318 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 319 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MAY 2021–NOVEMBER 2024
  • TABLE 320 AI IN SPORTS MARKET: DEALS, APRIL 2020–OCTOBER 2024
  • TABLE 321 MICROSOFT: COMPANY OVERVIEW
  • TABLE 322 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 323 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 324 MICROSOFT: DEALS
  • TABLE 325 IBM: COMPANY OVERVIEW
  • TABLE 326 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 327 IBM: PRODUCT LAUNCHES
  • TABLE 328 IBM: DEALS
  • TABLE 329 ORACLE: COMPANY OVERVIEW
  • TABLE 330 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 331 ORACLE: PRODUCT LAUNCHES
  • TABLE 332 ORACLE: DEALS
  • TABLE 333 AWS: COMPANY OVERVIEW
  • TABLE 334 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 335 AWS: PRODUCT LAUNCHES
  • TABLE 336 AWS: DEALS
  • TABLE 337 SAP SE: COMPANY OVERVIEW
  • TABLE 338 SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 339 SAP SE: DEALS
  • TABLE 340 STATS PERFORM: COMPANY OVERVIEW
  • TABLE 341 STATS PERFORM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 342 STATS PERFORM: PRODUCT LAUNCHES
  • TABLE 343 STATS PERFORM: DEALS
  • TABLE 344 SPORTRADAR AG: COMPANY OVERVIEW
  • TABLE 345 SPORTRADAR AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 346 SPORTRADAR AG: PRODUCT LAUNCHES
  • TABLE 347 SPORTRADAR AG: DEALS
  • TABLE 348 SAS INSTITUTE: COMPANY OVERVIEW
  • TABLE 349 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 350 SAS INSTITUTE: DEALS
  • TABLE 351 INTEL: COMPANY OVERVIEW
  • TABLE 352 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 353 INTEL: PRODUCT LAUNCHES
  • TABLE 354 INTEL: DEALS
  • TABLE 355 SPORTS TECHNOLOGY MARKET, BY TECHNOLOGY, 2018–2021 (USD MILLION)
  • TABLE 356 SPORTS TECHNOLOGY MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
  • TABLE 357 SPORTS TECHNOLOGY MARKET, BY SPORTS, 2018–2021 (USD MILLION)
  • TABLE 358 SPORTS TECHNOLOGY MARKET, BY SPORTS, 2022–2027 (USD MILLION)
  • TABLE 359 SPORTS TECHNOLOGY MARKET, BY END USER, 2018–2021 (USD MILLION)
  • TABLE 360 SPORTS TECHNOLOGY MARKET, BY END USER, 2022–2027 (USD MILLION)
  • TABLE 361 SPORTS TECHNOLOGY MARKET, BY REGION, 2018–2021 (USD MILLION)
  • TABLE 362 SPORTS TECHNOLOGY MARKET, BY REGION, 2022–2027 (USD MILLION)
  • TABLE 363 SPORTS ANALYTICS MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
  • TABLE 364 SPORTS ANALYTICS MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
  • TABLE 365 SPORTS ANALYTICS MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
  • TABLE 366 SPORTS ANALYTICS MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
  • TABLE 367 SPORTS ANALYTICS MARKET, BY END USER, 2015–2020 (USD MILLION)
  • TABLE 368 SPORTS ANALYTICS MARKET, BY END USER, 2021–2026 (USD MILLION)
  • TABLE 369 SPORTS ANALYTICS MARKET, BY TYPE, 2015–2020 (USD MILLION)
  • TABLE 370 SPORTS ANALYTICS MARKET, BY TYPE, 2021–2026 (USD MILLION)
  • TABLE 371 SPORTS ANALYTICS MARKET, BY APPLICATION, 2015–2020 (USD MILLION)
  • TABLE 372 SPORTS ANALYTICS MARKET, BY APPLICATION, 2021–2026 (USD MILLION)
  • TABLE 373 SPORTS ANALYTICS MARKET, BY REGION, 2015–2020 (USD MILLION)
  • TABLE 374 SPORTS ANALYTICS MARKET, BY REGION, 2021–2026 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET SEGMENTATION
  • FIGURE 2 AI IN SPORTS MARKET: RESEARCH DESIGN
  • FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 4 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN AI IN SPORTS MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND SIDE): AI IN SPORTS MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS
  • FIGURE 8 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH
  • FIGURE 9 DATA TRIANGULATION
  • FIGURE 10 AI IN SPORTS MARKET, 2024–2030 (USD MILLION)
  • FIGURE 11 AI IN SPORTS MARKET, BY REGION, 2024
  • FIGURE 12 AI-DRIVEN DATA INSIGHTS, ADVANCEMENTS IN WEARABLE TECHNOLOGY, AND EMERGENCE OF SMART STADIUMS TO DRIVE MARKET
  • FIGURE 13 SOLUTIONS SEGMENT TO DOMINATE MARKET
  • FIGURE 14 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 15 CONSULTING SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 16 PERFORMANCE ANALYTICS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 17 OTHER AI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 18 TEAM SPORTS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 19 SPORTS TEAMS TO HOLD LARGEST MARKET SHARE BY 2030
  • FIGURE 20 SOLUTIONS AND OTHER AI SEGMENTS TO ACCOUNT FOR LARGEST MARKET SHARES IN 2024
  • FIGURE 21 AI IN SPORTS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 22 EVOLUTION OF AI IN SPORTS SOLUTIONS AND SERVICES
  • FIGURE 23 KEY PLAYERS IN AI IN SPORTS MARKET ECOSYSTEM
  • FIGURE 24 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 AVERAGE SELLING PRICE OF KEY PLAYERS, BY SOLUTION, 2023
  • FIGURE 26 LIST OF KEY PATENTS FOR AI IN SPORTS, 2013–2024
  • FIGURE 27 MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 28 AI IN SPORTS MARKET: DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 31 AI IN SPORTS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
  • FIGURE 32 ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542), BY KEY COUNTRY, 2016–2023 (USD BILLION)
  • FIGURE 33 ELECTRONIC INTEGRATED CIRCUITS; PARTS THEREOF (8542), BY KEY COUNTRY, 2016–2023 (USD BILLION)
  • FIGURE 34 INVESTMENT AND FUNDING SCENARIO, 2019–2024 (USD MILLION)
  • FIGURE 35 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AI IN SPORTS ACROSS VARIOUS TYPES OF SOLUTIONS
  • FIGURE 36 GENERATIVE AI BEST PRACTICES ACROSS MAJOR INDUSTRIES
  • FIGURE 37 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 38 GENERATIVE AI TYPE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 E-SPORTS TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 SPORTS MEDIA & BROADCASTING TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 42 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 43 REVENUE ANALYSIS FOR KEY COMPANIES, 2019–2023
  • FIGURE 44 SHARE OF LEADING COMPANIES IN AI IN SPORTS MARKET, 2023
  • FIGURE 45 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
  • FIGURE 46 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 47 COMPANY FOOTPRINT
  • FIGURE 48 AI IN SPORTS MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 49 BRAND/PRODUCT COMPARISON ANALYSIS
  • FIGURE 50 FINANCIAL METRICS OF KEY AI IN SPORTS MARKET VENDORS
  • FIGURE 51 COMPANY VALUATION OF KEY AI IN SPORTS MARKET VENDORS
  • FIGURE 52 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 53 IBM: COMPANY SNAPSHOT
  • FIGURE 54 ORACLE: COMPANY SNAPSHOT
  • FIGURE 55 AWS: COMPANY SNAPSHOT
  • FIGURE 56 SAP SE: COMPANY SNAPSHOT
  • FIGURE 57 INTEL: COMPANY SNAPSHOT

 

Methodology

This research study involved the extensive use of secondary sources, directories, and databases, such as Dun & Bradstreet (D&B) Hoovers and Bloomberg BusinessWeek, to identify and collect valuable information for a technical, market-oriented, and commercial study of the AI in Sports market. The primary sources have been mainly industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the value chain of this market. In-depth interviews have been conducted with primary respondents, including key industry participants, subject matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information.

Secondary Research

In the secondary research process, various secondary sources were referred to identify and collect information for the study. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, certified publications, and articles from recognized associations and government publishing sources. Several journals and associations, such as Artificial Intelligence in Sport Programme 2024, AI for Sport Conference 2nd Edition, were also referred to. Secondary research was used to obtain key information about industry insights, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both the market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for the report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in Sports market. The primary sources from the demand side included AI in Sports end users, consultants/specialists, Chief Information Officers (CIOs), and subject-matter experts from enterprises and government associations.

AI in Sports Market Size, and Share

*Others include sales managers, marketing managers, and product managers.
Note: Tier 1 companies’ revenue is more than USD 1 billion; Tier 2 companies ‘revenue ranges between
USD 500 million to 1 billion; and Tier 3 companies’ revenue ranges in between USD 100 million
and USD 500 million

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the size of the AI in Sports market. The first approach involves estimating market size by summing up the revenue companies generate by selling AI solutions for Sports.

Both top-down and bottom-up approaches were used to estimate and validate the total size of the market. These methods were extensively used to estimate the size of various segments in the market. The research methodology used to estimate the market size includes the following:

  • Key players in the market have been identified through extensive secondary research.
  • In terms of value, the industry’s supply chain and market size have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.

AI in Sports Market : Top-Down and Bottom-Up Approach

AI in Sports Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

AI in Sports refers to the integration and application of artificial intelligence technologies to enhance various aspects of the sports industry. This includes improving athletic performance, optimizing game strategies, enriching fan experiences, and managing operations efficiently. AI-powered solutions in sports leverage data analytics, machine learning, computer vision, and natural language processing to analyze vast amounts of data and deliver actionable insights.

Additionally, AI automates broadcasting, generates real-time analytics, and improves operations such as ticketing, crowd management, and scheduling, transforming the way sports are played, managed, and consumed.

Stakeholders

  • Sports Teams and Athletes
  • Coaches and Managers
  • Sports Data Providers
  • Technology Providers
  • Sports Broadcast Networks
  • Sports Organizations
  • Fans and Consumers
  • Sponsors and Advertisers
  • Health and Fitness Professionals
  • Sports Medicine Specialists
  • Sports Analytics Firms
  • Sports Betting Companies
  • Media and Content Creators
  • Equipment Manufacturers
  • Regulatory Bodies
  • Esports Organizations
  • Academic Institutions and Researchers
  • AI Startups and Innovators

Report Objectives

  • To determine, segment, and forecast the AI in Sports market based on offering (solutions and services), technology (Generative AI and Other AI), sport type (Individual Sports, Team Sports, E-Sports), end user (Sports Associations, Sports Teams, Sports Media and Broadcasting,and Other), and region in terms of value
  • To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To study the complete value chain and related industry segments and perform a value chain analysis of the market landscape
  • To strategically analyze the macro and micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze the industry trends, pricing data, patents, and innovations related to the market
  • To analyze the opportunities for stakeholders by identifying the high-growth segments of the market
  • To profile the key players in the market and comprehensively analyze their market share/ranking and core competencies
  • To track and analyze competitive developments, such as mergers & acquisitions, product launches & developments, partnerships, agreements, collaborations, business expansions, and R&D activities

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Analysis for additional countries (up to five)

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

 

Key Questions Addressed by the Report

What is the definition of the AI in Sports market?
Artificial intelligence in sports is defined as using artificial intelligence systems within the sport's business, including machine learning, computer vision, natural language processing, predictive analytics, etc. Such activities include performance analysis, injury prevention, training enhancement, strategy development, and fan engagement. AI uses sports data such as real-time performance metrics, biomechanics, and health information to derive actionable insights and make better decisions for better results. Moreover, AI contributes significantly to sports live streaming, scouting, fan engagement, and even the back-end management of operations. It incites developments in ticketing, media production, advertisement, and sponsorship management. Thus, AI integration seeks to enhance sports performance and the business side of sporting activities.
What is the market size of the AI in sports market?
The AI in sports market is estimated to grow from USD 1.03 billion in 2024 to USD 2.61 billion by 2030, at a compound annual growth rate (CAGR) of 16.7% from 2024 to 2030.
What are the major drivers in the AI in sports market?
The major drivers in the AI in sports market are advancements in AI and ML, increasing data availability, rising demand for personalized fan experiences, enhanced athlete performance and injury prevention, and investment in e-sports.
Who are the key players operating in the AI in Sports market?
The key market players profiled in the AI in Sports market include GlobalStep (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), HUDL (US), Oracle (US), Stats Perform (US), EXL (US), Sportradar AG (Switzerland), HCL Technologies (India), Zebra Technologies (US), Salesforce (US), SAS Institute (US), Catapult Group (Australia), Genius Sports (UK), Kitman Labs (Ireland), PlaySight (Israel), Quantiphi (US), Sciports (Netherlands), Spiideo (Sweden), Sportlogiq (Canada), ChyronHego Corporation (US), TruMedia Networks (US).
What are the key technology trends prevailing in the AI in sports market?
The key technology trends in enterprise networking include ML, Computer Vision, Natural Language Processing, Predictive Analytics, Sensor Technology, Augmented Reality (AR), Virtual Reality (VR), Data Analytics Platforms, Edge Computing, and Cloud Computing.

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