Global Artificial Intelligence (AI) in Sports Market size was valued at USD 1.53 Bn in 2023 and is expected to reach USD 10.62 Bn by 2030, at a CAGR of 31.89 %.Artificial Intelligence (AI) in Sports Market Overview
AI in sports employs advanced algorithms to analyze data, improve player performance, and revolutionize fan engagement. It encompasses predictive analytics, injury prevention, and immersive broadcasting, transforming the sports industry. The Artificial Intelligence (AI) in Sports Market is rapidly growing by a transformative wave that is reshaping various aspects of the sports industry. As AI continues to make a significant impact across sectors, its influence in sports is becoming increasingly recognized. The integration of AI in sports is evident in player performance analysis, opponent evaluation, injury prevention, and strategic decision-making. The industry is experiencing a shift toward a more data-centric approach, emphasizing AI's pivotal role in fostering innovative and efficient sports management and strategy.To know about the Research Methodology :- Request Free Sample Report The adoption of AI in sports is driven by its capacity to swiftly and accurately process vast amounts of data, enabling informed decisions for coaches, players, and fans alike. This surge in adoption is evident in AI's impact on different aspects of sports, from predictive analytics for match outcomes to injury prevention through wearable devices. AI is also revolutionizing sports broadcasting by delivering immersive experiences through creative camera angles, augmented reality overlays, and virtual reality integration. These technologies not only enhance the viewing experience but also deepen the connection between fans and the sport. Artificial Intelligence (AI) in Sports Market leading players are contributing to this transformation, utilizing AI in sports analytics to provide valuable insights that refine game strategies and elevate player performance. The future landscape of AI in sports appears promising, with ongoing developments focused on enhancing fan engagement, player recruitment, and the overall sporting experience. As the industry continues to embrace AI-driven innovations, the convergence of technology and sports stands as a testament to the groundbreaking potential of artificial intelligence in reshaping the sporting landscape.
Artificial Intelligence (AI) in Sports Market Dynamics:
Predictive Analytics Powered by AI Emerges as A Game-Changer, Providing Teams With A Strategic Advantage Advancements in AI technologies, augmented investments from sports organizations, and an escalating demand for data-driven insights boosting the growth of Artificial Intelligence (AI) in Sports Market. The application of AI in sports is multifaceted, providing deep insights into player performance, opponent analysis, injury prevention, and strategic decision-making. This integration revolutionizes how teams and leagues operate, giving them a competitive edge through advanced analytics. The industry's shift towards a data-centric approach underscores AI's pivotal role in innovative and efficient sports management and strategy.Key factors driving the adoption of AI in sports include its rapid processing of vast data sets, enabling coaches, players, and even fans to make informed decisions based on reliable insights. Predictive analytics powered by AI is a game-changer, offering forecasts about potential match outcomes, providing teams with a strategic advantage. AI's impact on player recruitment is transformative, with machine learning algorithms analyzing extensive data to identify strengths and weaknesses in potential recruits. Major sports teams, such as the Oakland Athletics and Los Angeles Dodgers, are leveraging AI for player scouting, employing high-speed cameras and machine learning solutions to assess player performance metrics and predict future outcomes. Fan engagement is elevated through AI-driven technologies, including chatbots and social media algorithms. These tools analyze user behavior to deliver personalized content feeds, enhancing the overall fan experience. In-stadium environments benefit from real-time analytics, virtual replays, smart ticketing, and efficient crowd management, all driven by AI. AI extends its influence to player training through virtual reality (VR) environments, providing risk-free simulations for skill enhancement. Automated journalism in sports coverage, driven by AI, generates real-time updates, personalized narratives, and comprehensive insights, transforming the way sports content is consumed. In sports predictions, AI's advanced capabilities in predictive analytics offer increasingly accurate outcomes. While AI doesn't guarantee exact results due to the unpredictable nature of sports, its steady improvement in accuracy across various categories demonstrates its evolving role in providing nuanced insights. AI and machine learning are revolutionizing sports analytics, impacting player performance measurement, predictive analytics, strategic decision-making, player recruitment, fan engagement, and overall sports experiences. As technology continues to advance, the sports industry is on the brink of a new era defined by innovative AI applications. Algorithmic Bias in Facial Recognition for Sports Can Lead to Unfair Player Assessments hindering the growth of Artificial Intelligence (AI) in Sports Market The growth of Artificial Intelligence (AI) in Sports Market is not without its challenges, and one of the most prominent hurdles is the concern surrounding data privacy. Instances such as controversies over wearable fitness trackers have brought attention to the potential exploitation or misuse of sensitive player data. This highlights the urgent need for stringent privacy regulations and secure data management practices to instil trust among players and stakeholders. Robust security measures are essential to prevent unauthorized access or misuse of athletes' private information, emphasizing the importance of responsible data handling. Another significant challenge lies in the ethical considerations associated with AI predictions, as seen in instances where predictive analytics have erroneously influenced decisions. Controversies in sports betting algorithms impacting match outcomes underscore the need to address biases and ensure the responsible use of AI-generated insights. This necessitates a careful examination of the ethical implications of AI applications in sports, promoting transparency and fair practices. The high cost of implementing AI technologies is a substantial obstacle, exemplified by the initial expenses in adopting computer vision for player tracking. Strategic investment planning becomes crucial to make AI applications more accessible for smaller sports organizations, ensuring widespread industry adoption which hampers the growth of Artificial Intelligence (AI) in Sports Market.
The limited adoption of AI in smaller sports leagues compared to major leagues poses a challenge. This gap could hinder the overall growth of the Artificial Intelligence (AI) in Sports Market, emphasizing the need for tailored solutions and awareness campaigns to encourage broader integration. Bridging this adoption divide requires targeted efforts to showcase the benefits of AI in sports across diverse sporting environments. Resistance to technological change within traditional sports cultures is a pervasive challenge. Examples like the hesitancy among some coaches or players to fully embrace AI-driven insights underscore the importance of effective communication, training programs, and showcasing success stories. Overcoming this resistance is crucial for the successful integration of AI into sports management and strategy. Algorithmic bias presents another notable challenge, as seen in facial recognition technologies. In sports, biased player assessments or discriminatory decisions could result from algorithmic bias. Addressing this issue requires stricter guidelines, diverse data representation, and continuous monitoring to rectify biases and ensure fairness in AI applications. The reliability and accuracy of AI predictions, witnessed in instances of inaccurate injury forecasts, present challenges. Continuous refinement and validation of AI algorithms, incorporating real-time data updates and collaboration with medical professionals, are essential to enhance the precision of injury prevention and performance predictions. Ensuring the trustworthiness of AI-generated insights is critical for the credibility of sports analytics. The lack of standardization in AI applications across sports creates interoperability challenges, hindering seamless collaboration. Establishing industry standards and protocols for data exchange and integration becomes paramount to mitigate these challenges, fostering a more unified and effective AI ecosystem. The acceptance of AI-driven changes by fans, particularly in sports with deep-rooted traditions, can be challenging. Instances of backlash against AI-referees or AI-generated content indicate the importance of gradual integration, transparent communication, and education to ensure fan acceptance and support for AI advancements in sports.
Artificial Intelligence (AI) in Sports Market Segment Analysis
Based on Deployment, On-Premises deployment dominated the Artificial Intelligence (AI) in Sports Market in 2023 as it offers localized control, making it suitable for organizations with stringent data security concerns. It finds applications in player performance analysis, injury prediction, and game strategy optimization. While, Cloud deployment provides scalability, accessibility, and cost-effectiveness, making it a preferred choice for applications requiring extensive data processing and storage. Cloud-based AI in sports is often utilized for fan engagement, virtual training, and real-time analytics. While On-Premises solutions cater to the demand for in-house control and data governance, Cloud deployment stands out for its flexibility and collaborative potential. The choice between On-Premises and Cloud deployment in the Artificial Intelligence (AI) in Sports Market depends on specific organizational needs, data sensitivity, and the nature of the applications, contributing to a dynamic landscape with diverse adoption patterns.
Artificial Intelligence (AI) in Sports Market Regional Insights
North America dominated the Artificial Intelligence (AI) in Sports Market in 2023, driven by a growing sports culture and technological advancements that facilitated substantial AI integration, particularly in player performance analytics and fan engagement. Renowned for its vibrant domestic league systems and significant economic investments in sports, the North American region solidified its position as a global sporting leader, fostering the growth of AI. American leagues notably harnessed AI for both pre-game and in-game strategies, influencing line-up decisions and elevating player performance through advanced analytics. Collaborations involving companies such as Argo AI, Ford, and NASCAR underscored AI's expanding role in enhancing safety measures across high-risk sports, pointing towards a sustained growth trajectory for AI integration in the global sports industry. Europe prioritized AI-driven insights for coaching and injury prevention, Asia-Pacific emphasized virtual training and real-time analytics, and South America, the Middle East, and Africa exhibited promising uptakes of AI in sports, each emphasizing unique applications in personalized training, fan interaction, and grassroots sports development.Global Artificial Intelligence (AI) in Sports Market Scope: Inquire before buying
Global Artificial Intelligence (AI) in Sports Market Report Coverage Details Base Year: 2023 Forecast Period: 2024-2030 Historical Data: 2018 to 2023 Market Size in 2023: US $ 1.53 Bn. Forecast Period 2024 to 2030 CAGR: 31.89% Market Size in 2030: US $ 10.62 Bn. Segments Covered: by Deployment On-Premises Cloud by Application Player Analysis Fan Engagement Data Interpretation & Analysis Other Applications Artificial Intelligence (AI) in Sports Market, by Region
North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and the Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and the Rest of APAC) South America (Brazil, Argentina Rest of South America) Middle East & Africa (South Africa, GCC, Egypt, Nigeria and the Rest of ME&A)Artificial Intelligence (AI) in Sports Key Players
North America 1. IBM Sports Insights Central - Armonk, New York, USA 2. Zebra Technologies - Lincolnshire, Illinois, USA 3. Kinduct Technologies - Halifax, Nova Scotia, Canada 4. Second Spectrum - Los Angeles, California, USA 5. ChyronHego - New York, New York, USA Europe And MEA 1. STATSports - Newry, Northern Ireland 2. TrackMan - Vedbæk, Denmark 3. Kitman Labs - Dublin, Ireland 4. KINEXON - Munich, Germany 5. PlayerMaker - Tel Aviv, Israel Asia Pacific 1. Catapult Sports - Melbourne, Australia 2. Tonbo Imaging - Bengaluru, Karnataka 3. Sportz Interactive - Mumbai, Maharashtra 4. Sport Performance Analytics - Bengaluru, Karnataka 5. nFuszion IT - Mumbai, Maharashtra Frequently Asked Questions: 1] What is the growth rate of the Global Artificial Intelligence (AI) in Sports Market? Ans. The Global Artificial Intelligence (AI) in Sports Market is growing at a significant rate of 31.89 % during the forecast period. 2] Which region is expected to dominate the Global Artificial Intelligence (AI) in Sports Market? Ans. North America is expected to dominate the Artificial Intelligence (AI) in Sports Market during the forecast period. 3] What is the expected Global Artificial Intelligence (AI) in Sports Market size by 2030? Ans. The Artificial Intelligence (AI) in Sports Market size is expected to reach USD 10.62 Billion by 2030. 4] Which are the top players in the Global Artificial Intelligence (AI) in Sports Market? Ans. The major top players in the Global Artificial Intelligence (AI) in Sports Market are IBM Sports Insights Central , Zebra Technologies, Kinduct Technologies, Second Spectrum , ChyronHego and Others.
1. Artificial Intelligence (AI) in Sports Market Introduction 1.1. Study Assumption and Market Definition 1.2. Scope of the Study 1.3. Executive Summary 2. Artificial Intelligence (AI) in Sports Market: Dynamics 2.1. Artificial Intelligence (AI) in Sports Market Trends by Region 2.1.1. North America Artificial Intelligence (AI) in Sports Market Trends 2.1.2. Europe Artificial Intelligence (AI) in Sports Market Trends 2.1.3. Asia Pacific Artificial Intelligence (AI) in Sports Market Trends 2.1.4. Middle East and Africa Artificial Intelligence (AI) in Sports Market Trends 2.1.5. South America Artificial Intelligence (AI) in Sports Market Trends 2.2. Artificial Intelligence (AI) in Sports Market Dynamics by Region 2.2.1. North America 2.2.1.1. North America Artificial Intelligence (AI) in Sports Market Drivers 2.2.1.2. North America Artificial Intelligence (AI) in Sports Market Restraints 2.2.1.3. North America Artificial Intelligence (AI) in Sports Market Opportunities 2.2.1.4. North America Artificial Intelligence (AI) in Sports Market Challenges 2.2.2. Europe 2.2.2.1. Europe Artificial Intelligence (AI) in Sports Market Drivers 2.2.2.2. Europe Artificial Intelligence (AI) in Sports Market Restraints 2.2.2.3. Europe Artificial Intelligence (AI) in Sports Market Opportunities 2.2.2.4. Europe Artificial Intelligence (AI) in Sports Market Challenges 2.2.3. Asia Pacific 2.2.3.1. Asia Pacific Artificial Intelligence (AI) in Sports Market Drivers 2.2.3.2. Asia Pacific Artificial Intelligence (AI) in Sports Market Restraints 2.2.3.3. Asia Pacific Artificial Intelligence (AI) in Sports Market Opportunities 2.2.3.4. Asia Pacific Artificial Intelligence (AI) in Sports Market Challenges 2.2.4. Middle East and Africa 2.2.4.1. Middle East and Africa Artificial Intelligence (AI) in Sports Market Drivers 2.2.4.2. Middle East and Africa Artificial Intelligence (AI) in Sports Market Restraints 2.2.4.3. Middle East and Africa Artificial Intelligence (AI) in Sports Market Opportunities 2.2.4.4. Middle East and Africa Artificial Intelligence (AI) in Sports Market Challenges 2.2.5. South America 2.2.5.1. South America Artificial Intelligence (AI) in Sports Market Drivers 2.2.5.2. South America Artificial Intelligence (AI) in Sports Market Restraints 2.2.5.3. South America Artificial Intelligence (AI) in Sports Market Opportunities 2.2.5.4. South America Artificial Intelligence (AI) in Sports Market Challenges 2.3. PORTER’s Five Forces Analysis 2.4. PESTLE Analysis 2.5. Technology Roadmap 2.6. Regulatory Landscape by Region 2.6.1. North America 2.6.2. Europe 2.6.3. Asia Pacific 2.6.4. Middle East and Africa 2.6.5. South America 2.7. Key Opinion Leader Analysis For Artificial Intelligence (AI) in Sports Industry 2.8. Analysis of Government Schemes and Initiatives For Artificial Intelligence (AI) in Sports Industry 2.9. Artificial Intelligence (AI) in Sports Market Trade Analysis 2.10. The Global Pandemic Impact on Artificial Intelligence (AI) in Sports Market 3. Artificial Intelligence (AI) in Sports Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) 2023-2030 3.1. Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 3.1.1. On-Premises 3.1.2. Cloud 3.2. Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 3.2.1. Player Analysis 3.2.2. Fan Engagement 3.2.3. Data Interpretation & Analysis 3.2.4. Other Applications 3.3. Artificial Intelligence (AI) in Sports Market Size and Forecast, by Region (2023-2030) 3.3.1. North America 3.3.2. Europe 3.3.3. Asia Pacific 3.3.4. Middle East and Africa 3.3.5. South America 4. North America Artificial Intelligence (AI) in Sports Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 4.1. North America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 4.1.1. On-Premises 4.1.2. Cloud 4.2. North America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 4.2.1. Player Analysis 4.2.2. Fan Engagement 4.2.3. Data Interpretation & Analysis 4.2.4. Other Applications 4.3. North America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Country (2023-2030) 4.3.1. United States 4.3.1.1. United States Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 4.3.1.1.1. On-Premises 4.3.1.1.2. Cloud 4.3.1.2. United States Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 4.3.1.2.1. Player Analysis 4.3.1.2.2. Fan Engagement 4.3.1.2.3. Data Interpretation & Analysis 4.3.1.2.4. Other Applications 4.3.2. Canada 4.3.2.1. Canada Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 4.3.2.1.1. On-Premises 4.3.2.1.2. Cloud 4.3.2.2. Canada Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 4.3.2.2.1. Player Analysis 4.3.2.2.2. Fan Engagement 4.3.2.2.3. Data Interpretation & Analysis 4.3.2.2.4. Other Applications 4.3.3. Mexico 4.3.3.1. Mexico Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 4.3.3.1.1. On-Premises 4.3.3.1.2. Cloud 4.3.3.2. Mexico Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 4.3.3.2.1. Player Analysis 4.3.3.2.2. Fan Engagement 4.3.3.2.3. Data Interpretation & Analysis 4.3.3.2.4. Other Applications 5. Europe Artificial Intelligence (AI) in Sports Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 5.1. Europe Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.2. Europe Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3. Europe Artificial Intelligence (AI) in Sports Market Size and Forecast, by Country (2023-2030) 5.3.1. United Kingdom 5.3.1.1. United Kingdom Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.1.2. United Kingdom Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.2. France 5.3.2.1. France Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.2.2. France Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.3. Germany 5.3.3.1. Germany Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.3.2. Germany Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.4. Italy 5.3.4.1. Italy Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.4.2. Italy Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.5. Spain 5.3.5.1. Spain Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.5.2. Spain Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.6. Sweden 5.3.6.1. Sweden Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.6.2. Sweden Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.7. Austria 5.3.7.1. Austria Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.7.2. Austria Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 5.3.8. Rest of Europe 5.3.8.1. Rest of Europe Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 5.3.8.2. Rest of Europe Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6. Asia Pacific Artificial Intelligence (AI) in Sports Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 6.1. Asia Pacific Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.2. Asia Pacific Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3. Asia Pacific Artificial Intelligence (AI) in Sports Market Size and Forecast, by Country (2023-2030) 6.3.1. China 6.3.1.1. China Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.1.2. China Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.2. S Korea 6.3.2.1. S Korea Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.2.2. S Korea Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.3. Japan 6.3.3.1. Japan Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.3.2. Japan Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.4. India 6.3.4.1. India Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.4.2. India Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.5. Australia 6.3.5.1. Australia Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.5.2. Australia Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.6. Indonesia 6.3.6.1. Indonesia Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.6.2. Indonesia Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.7. Malaysia 6.3.7.1. Malaysia Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.7.2. Malaysia Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.8. Vietnam 6.3.8.1. Vietnam Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.8.2. Vietnam Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.9. Taiwan 6.3.9.1. Taiwan Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.9.2. Taiwan Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 6.3.10. Rest of Asia Pacific 6.3.10.1. Rest of Asia Pacific Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 6.3.10.2. Rest of Asia Pacific Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 7. Middle East and Africa Artificial Intelligence (AI) in Sports Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 7.1. Middle East and Africa Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 7.2. Middle East and Africa Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 7.3. Middle East and Africa Artificial Intelligence (AI) in Sports Market Size and Forecast, by Country (2023-2030) 7.3.1. South Africa 7.3.1.1. South Africa Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 7.3.1.2. South Africa Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 7.3.2. GCC 7.3.2.1. GCC Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 7.3.2.2. GCC Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 7.3.3. Nigeria 7.3.3.1. Nigeria Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 7.3.3.2. Nigeria Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 7.3.4. Rest of ME&A 7.3.4.1. Rest of ME&A Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 7.3.4.2. Rest of ME&A Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 8. South America Artificial Intelligence (AI) in Sports Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 8.1. South America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 8.2. South America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 8.3. South America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Country (2023-2030) 8.3.1. Brazil 8.3.1.1. Brazil Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 8.3.1.2. Brazil Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 8.3.2. Argentina 8.3.2.1. Argentina Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 8.3.2.2. Argentina Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 8.3.3. Rest Of South America 8.3.3.1. Rest Of South America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Deployment (2023-2030) 8.3.3.2. Rest Of South America Artificial Intelligence (AI) in Sports Market Size and Forecast, by Application (2023-2030) 9. Global Artificial Intelligence (AI) in Sports Market: Competitive Landscape 9.1. MMR Competition Matrix 9.2. Competitive Landscape 9.3. Key Players Benchmarking 9.3.1. Company Name 9.3.2. Business Segment 9.3.3. End-user Segment 9.3.4. Revenue (2022) 9.3.5. Company Locations 9.4. Leading Artificial Intelligence (AI) in Sports Market Companies, by market capitalization 9.5. Market Structure 9.5.1. Market Leaders 9.5.2. Market Followers 9.5.3. Emerging Players 9.6. Mergers and Acquisitions Details 10. Company Profile: Key Players 10.1. IBM Sports Insights Central - Armonk, New York, USA 10.1.1. Company Overview 10.1.2. Business Portfolio 10.1.3. Financial Overview 10.1.4. SWOT Analysis 10.1.5. Strategic Analysis 10.1.6. Scale of Operation (small, medium, and large) 10.1.7. Details on Partnership 10.1.8. Regulatory Accreditations and Certifications Received by Them 10.1.9. Awards Received by the Firm 10.1.10. Recent Developments 10.2. Zebra Technologies - Lincolnshire, Illinois, USA 10.3. Kinduct Technologies - Halifax, Nova Scotia, Canada 10.4. Second Spectrum - Los Angeles, California, USA 10.5. ChyronHego - New York, New York, USA 10.6. STATSports - Newry, Northern Ireland 10.7. TrackMan - Vedbæk, Denmark 10.8. Kitman Labs - Dublin, Ireland 10.9. KINEXON - Munich, Germany 10.10. PlayerMaker - Tel Aviv, Israel 10.11. Catapult Sports - Melbourne, Australia 10.12. Tonbo Imaging - Bengaluru, Karnataka 10.13. Sportz Interactive - Mumbai, Maharashtra 10.14. Sport Performance Analytics - Bengaluru, Karnataka 10.15. nFuszion IT - Mumbai, Maharashtra 11. Key Findings 12. Industry Recommendations 13. Artificial Intelligence (AI) in Sports Market: Research Methodology 14. Terms and Glossary