세계의 스포츠 분야 인공지능(AI) 시장 규모, 점유율, 업계 분석 보고서 : 제공별, 스포츠 유형별, 기술별, 지역별 전망 및 예측(2025-2032년)

The Global Artificial Intelligence in Sports Market size is expected to reach $34.41 billion by 2032, rising at a market growth of 20.8% CAGR during the forecast period.

The adoption of AI-powered video analytics, wearables, and predictive modeling tools has significantly improved team coordination and tactical decision-making, making team sports a primary area of investment and innovation in the AI sports market. Thus, the team sports segment acquired the 46% revenue share in the artificial intelligence in sports market in 2024. This dominance reflects the widespread application of AI technologies across various team-based sports such as football, basketball, baseball, and cricket. AI is being utilized for player performance tracking, game strategy optimization, injury prevention, and fan experience enhancement.

COVID 19 Impact Analysis

During the COVID-19 pandemic, the sports industry experienced a significant decline in revenue due to the cancellation or postponement of major events, tournaments, and league matches worldwide. As a consequence, clubs, organizations, and broadcasters faced financial strain, leading to a temporary reduction in investments in advanced technologies, including artificial intelligence. Budgets earmarked for innovation, performance analytics, and fan engagement tools were reallocated to critical operations and pandemic response efforts. This reallocation caused delays or cancellations in AI-related initiatives across various sports domains. Thus, the COVID-19 pandemic had a negative impact on the market.

Market Growth Factors

Artificial Intelligence has revolutionized performance analytics in the sports industry, enabling teams, coaches, and athletes to achieve unprecedented levels of precision and efficiency in training and game-day decision-making. One of the most powerful applications of AI lies in real-time data tracking-gathered from wearables, motion sensors, and computer vision systems-used to monitor biomechanics, fatigue levels, heart rate variability, and movement efficiency. Therefore, by transforming performance tracking and tailoring injury-preventive strategies through intelligent, predictive systems, AI has become an indispensable ally in maximizing athlete longevity and effectiveness.

Additionally, AI is at the heart of a dramatic shift in how fans engage with sports, personalizing experiences and making interactions more immersive, dynamic, and satisfying. One of the key enablers here is recommendation engines powered by AI, like those used in entertainment platforms. These systems analyze fans' behavior across apps, social media, ticketing portals, and e-commerce platforms to recommend content, merchandise, and match experiences uniquely suited to each user's preferences. Whether it's highlighting a favorite player's stats, replaying iconic moments, or sending notifications about upcoming matches, AI personalizes every touchpoint in the fan journey. Thus, by turning passive viewers into interactive participants through personalized content and immersive technologies, AI is redefining fan engagement in sports as a deeply connected, dynamic experience.

Market Restraining Factors

However, one of the most critical restraints hampering the widespread adoption of AI in sports is the issue of data privacy and ethical use of athlete and consumer data. In modern sports ecosystems, AI applications heavily depend on real-time data collection - from biometric data during training, to behavioral data collected through fan engagement platforms. Wearable sensors, smart stadiums, and tracking cameras generate volumes of highly sensitive information, much of which pertains to individuals' health, location, and private routines. When such data is analyzed by AI systems for performance enhancement or audience targeting, it raises important questions about consent, ownership, and risk of misuse. In conclusion, unless data governance frameworks and ethical standards are significantly strengthened, the risks associated with data privacy and ethical misuse will continue to restrict the pace and scope of AI adoption in the sports industry.

Value Chain Analysis

The value chain of the Artificial Intelligence in Sports Market starts with Inbound Logistics, where data from sensors, cameras, and wearables is collected and sourced for processing. In Operations, AI models analyze player performance, game strategies, and injury risks using machine learning and computer vision. Outbound Logistics involves delivering these insights through dashboards, apps, or live broadcasts. Marketing & Sales promote AI-powered solutions to teams, leagues, and broadcasters. Finally, Service includes continuous model training, tech support, and performance updates for optimal user experience.

Market Share Analysis

Offering Outlook

Based on offering, the artificial intelligence in sports market is characterized into solution and services. The solution segment garnered 59% revenue share in the artificial intelligence in sports market in 2024. This segment includes AI-driven tools and platforms that assist in decision-making, performance analysis, player tracking, strategy development, and predictive modeling. The growing adoption of AI technologies by teams, leagues, and broadcasting partners to enhance on-field strategies and fan engagement contributed heavily to the prominence of this segment.

Sports Type Outlook

On the basis of sports type, the artificial intelligence in sports market is classified into team sports, esports, and individual. The individual segment held 23% revenue share in the artificial intelligence in sports market in 2024. This segment encompasses sports such as tennis, golf, athletics, boxing, and others where athletes compete individually rather than as part of a team. AI technologies in this space are primarily focused on personalized training programs, performance monitoring, biomechanics analysis, and real-time feedback systems.

Technology Outlook

By technology, the market is divided into gen AI and other AI. The other AI segment garnered 47% revenue share in the artificial intelligence in the sports market in 2024. These solutions form the foundation of most AI applications in sports today ranging from real-time game analysis, player tracking, and scouting to fan sentiment analysis and operational optimization. These tools are well-established and continue to evolve with advancements in algorithmic accuracy, processing speed, and data availability.

Use Case Title Confidential

Entities Involved Confidential

Objective To optimize player performance, team strategy, and officiating using traditional AI technologies such as machine learning, computer vision, and predictive modeling.

Context and Background Before GenAI, sports teams relied on traditional AI for analytics, injury prevention, and officiating. In 2025, these remain core, using supervised learning, reinforcement learning for simulations, and AI-enhanced video/sensor analytics.

Description (Examples) * Predictive workload models using biometric sensor data

• Computer vision-based player positioning for offside and goal-line decisions
• ML-powered opponent scouting and match preparation
• Real-time win probability engines during broadcasts
• Fan behavior prediction and ticket demand forecasting Used by NFL, FIFA, Bayern Munich, and Manchester City

Key Capabilities Deployed * Supervised and unsupervised learning pipelines

• Optical tracking integrated with real-time dashboards
• Rule-based AI for officiating (VAR, goal-line tech)
• ML-based revenue forecasting and fan analytics

Benefits * Improved coaching precision and training outcomes

• Greater transparency and fairness in officiating
• Enhanced predictive insights into player and team performance
• Data-informed decision-making across operations

Source Confidential

Regional Outlook

Region-wise, the artificial intelligence in the sports market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 38% revenue share in the artificial intelligence in the sports market in 2024. The region's leadership can be attributed to early adoption of advanced technologies, high investments in sports analytics, and the presence of major leagues such as the NFL, NBA, MLB, and NHL. Professional teams across the U.S. and Canada are increasingly utilizing AI for player performance optimization, fan engagement, injury prevention, and tactical decision-making.

Recent Strategies Deployed in the Market

• Mar-2025: Catapult Group International Ltd. unveiled Vector 8, an advanced athlete monitoring system designed to enhance real-time decision-making. It offers faster data analysis, improved workflow efficiency, and more precise performance insights. The system features cutting-edge wearables, a powerful dock, and an expansive receiver network, supporting up to 120 athletes.
• Nov-2021: Catapult Group International Ltd. unveiled new features to enhance baseball performance analysis and injury prevention. These updates allow coaches and players to track advanced metrics, providing insights into player mechanics, workload, and fatigue to improve training programs and reduce injury risks. The innovations aim to support better decision-making and overall athlete care.
• Oct-2021: Stats Perform Group teamed up with TruMedia, a leader in advanced sports analytics. The collaboration focused on further developing their joint initiative, the ProVision sports analytics platform, designed to deliver cutting-edge insights and data-driven tools for enhancing team performance, strategy, and decision-making in professional sports.
• Oct-2021: Stats Perform Group teamed up with K-Sport to expand the use of wearable performance technology. This collaboration aimed to deliver advanced player tracking and monitoring solutions to over 200 professional football and rugby teams, enhancing athlete performance analysis and training through innovative, data-driven wearable devices.
• Oct-2021: Stats Perform Group announced the partnership with K-Sport. This will continue to provide innovative data and analytics solutions for K-Sport's sports-related offerings, enhancing their services and fan engagement initiatives. The partnership reflects a mutual commitment to driving innovation and elevating sports experiences through advanced technology.

List of Key Companies Profiled

• IBM Corporation
• Microsoft Corporation
• Trumedia Networks, Inc.
• Google LLC (Alphabet Inc.)
• SAP SE
• Stats Perform Group
• SAS Institute Inc.
• Oracle Corporation
• Sportradar Group AG
• Catapult Group International Ltd.

Global Artificial Intelligence in Sports Market Report Segmentation

By Offering

• Solution
• Services

By Sports Type

• Team Sports
• Esports
• Individual

By Technology

• Gen AI
• Other AI

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Artificial Intelligence in Sports Market, by Offering
  • 1.4.2 Global Artificial Intelligence in Sports Market, by Sports Type
  • 1.4.3 Global Artificial Intelligence in Sports Market, by Technology
  • 1.4.4 Global Artificial Intelligence in Sports Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2024
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Feb - 2024, Nov) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Artificial Intelligence in Sports Market

• 5.1 Inbound Logistics
• 5.2 Operations
• 5.3 Outbound Logistics
• 5.4 Marketing and Sales
• 5.5 Services

Chapter 6. Key Costumer Criteria - Artificial Intelligence in Sports Market

Chapter 7. Global Artificial Intelligence in Sports Market by Offering

• 7.1 Global Solution Market by Region
• 7.2 Global Services Market by Region

Chapter 8. Global Artificial Intelligence in Sports Market by Sports Type

• 8.1 Global Team Sports Market by Region
• 8.2 Global Esports Market by Region
• 8.3 Global Individual Market by Region

Chapter 9. Global Artificial Intelligence in Sports Market by Technology

• 9.1 Global Gen AI Market by Region
• 9.2 Global Other AI Market by Region

Chapter 10. Global Artificial Intelligence in Sports Market by Region

• 10.1 North America Artificial Intelligence in Sports Market
  • 10.1.1 North America Artificial Intelligence in Sports Market by Offering
    • 10.1.1.1 North America Solution Market by Country
    • 10.1.1.2 North America Services Market by Country
  • 10.1.2 North America Artificial Intelligence in Sports Market by Sports Type
    • 10.1.2.1 North America Team Sports Market by Country
    • 10.1.2.2 North America Esports Market by Country
    • 10.1.2.3 North America Individual Market by Country
  • 10.1.3 North America Artificial Intelligence in Sports Market by Technology
    • 10.1.3.1 North America Gen AI Market by Country
    • 10.1.3.2 North America Other AI Market by Country
  • 10.1.4 North America Artificial Intelligence in Sports Market by Country
    • 10.1.4.1 US Artificial Intelligence in Sports Market
      • 10.1.4.1.1 US Artificial Intelligence in Sports Market by Offering
      • 10.1.4.1.2 US Artificial Intelligence in Sports Market by Sports Type
      • 10.1.4.1.3 US Artificial Intelligence in Sports Market by Technology
    • 10.1.4.2 Canada Artificial Intelligence in Sports Market
      • 10.1.4.2.1 Canada Artificial Intelligence in Sports Market by Offering
      • 10.1.4.2.2 Canada Artificial Intelligence in Sports Market by Sports Type
      • 10.1.4.2.3 Canada Artificial Intelligence in Sports Market by Technology
    • 10.1.4.3 Mexico Artificial Intelligence in Sports Market
      • 10.1.4.3.1 Mexico Artificial Intelligence in Sports Market by Offering
      • 10.1.4.3.2 Mexico Artificial Intelligence in Sports Market by Sports Type
      • 10.1.4.3.3 Mexico Artificial Intelligence in Sports Market by Technology
    • 10.1.4.4 Rest of North America Artificial Intelligence in Sports Market
      • 10.1.4.4.1 Rest of North America Artificial Intelligence in Sports Market by Offering
      • 10.1.4.4.2 Rest of North America Artificial Intelligence in Sports Market by Sports Type
      • 10.1.4.4.3 Rest of North America Artificial Intelligence in Sports Market by Technology
• 10.2 Europe Artificial Intelligence in Sports Market
  • 10.2.1 Europe Artificial Intelligence in Sports Market by Offering
    • 10.2.1.1 Europe Solution Market by Country
    • 10.2.1.2 Europe Services Market by Country
  • 10.2.2 Europe Artificial Intelligence in Sports Market by Sports Type
    • 10.2.2.1 Europe Team Sports Market by Country
    • 10.2.2.2 Europe Esports Market by Country
    • 10.2.2.3 Europe Individual Market by Country
  • 10.2.3 Europe Artificial Intelligence in Sports Market by Technology
    • 10.2.3.1 Europe Gen AI Market by Country
    • 10.2.3.2 Europe Other AI Market by Country
  • 10.2.4 Europe Artificial Intelligence in Sports Market by Country
    • 10.2.4.1 Germany Artificial Intelligence in Sports Market
      • 10.2.4.1.1 Germany Artificial Intelligence in Sports Market by Offering
      • 10.2.4.1.2 Germany Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.1.3 Germany Artificial Intelligence in Sports Market by Technology
    • 10.2.4.2 UK Artificial Intelligence in Sports Market
      • 10.2.4.2.1 UK Artificial Intelligence in Sports Market by Offering
      • 10.2.4.2.2 UK Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.2.3 UK Artificial Intelligence in Sports Market by Technology
    • 10.2.4.3 France Artificial Intelligence in Sports Market
      • 10.2.4.3.1 France Artificial Intelligence in Sports Market by Offering
      • 10.2.4.3.2 France Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.3.3 France Artificial Intelligence in Sports Market by Technology
    • 10.2.4.4 Russia Artificial Intelligence in Sports Market
      • 10.2.4.4.1 Russia Artificial Intelligence in Sports Market by Offering
      • 10.2.4.4.2 Russia Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.4.3 Russia Artificial Intelligence in Sports Market by Technology
    • 10.2.4.5 Spain Artificial Intelligence in Sports Market
      • 10.2.4.5.1 Spain Artificial Intelligence in Sports Market by Offering
      • 10.2.4.5.2 Spain Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.5.3 Spain Artificial Intelligence in Sports Market by Technology
    • 10.2.4.6 Italy Artificial Intelligence in Sports Market
      • 10.2.4.6.1 Italy Artificial Intelligence in Sports Market by Offering
      • 10.2.4.6.2 Italy Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.6.3 Italy Artificial Intelligence in Sports Market by Technology
    • 10.2.4.7 Rest of Europe Artificial Intelligence in Sports Market
      • 10.2.4.7.1 Rest of Europe Artificial Intelligence in Sports Market by Offering
      • 10.2.4.7.2 Rest of Europe Artificial Intelligence in Sports Market by Sports Type
      • 10.2.4.7.3 Rest of Europe Artificial Intelligence in Sports Market by Technology
• 10.3 Asia Pacific Artificial Intelligence in Sports Market
  • 10.3.1 Asia Pacific Artificial Intelligence in Sports Market by Offering
    • 10.3.1.1 Asia Pacific Solution Market by Country
    • 10.3.1.2 Asia Pacific Services Market by Country
  • 10.3.2 Asia Pacific Artificial Intelligence in Sports Market by Sports Type
    • 10.3.2.1 Asia Pacific Team Sports Market by Country
    • 10.3.2.2 Asia Pacific Esports Market by Country
    • 10.3.2.3 Asia Pacific Individual Market by Country
  • 10.3.3 Asia Pacific Artificial Intelligence in Sports Market by Technology
    • 10.3.3.1 Asia Pacific Gen AI Market by Country
    • 10.3.3.2 Asia Pacific Other AI Market by Country
  • 10.3.4 Asia Pacific Artificial Intelligence in Sports Market by Country
    • 10.3.4.1 China Artificial Intelligence in Sports Market
      • 10.3.4.1.1 China Artificial Intelligence in Sports Market by Offering
      • 10.3.4.1.2 China Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.1.3 China Artificial Intelligence in Sports Market by Technology
    • 10.3.4.2 Japan Artificial Intelligence in Sports Market
      • 10.3.4.2.1 Japan Artificial Intelligence in Sports Market by Offering
      • 10.3.4.2.2 Japan Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.2.3 Japan Artificial Intelligence in Sports Market by Technology
    • 10.3.4.3 India Artificial Intelligence in Sports Market
      • 10.3.4.3.1 India Artificial Intelligence in Sports Market by Offering
      • 10.3.4.3.2 India Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.3.3 India Artificial Intelligence in Sports Market by Technology
    • 10.3.4.4 South Korea Artificial Intelligence in Sports Market
      • 10.3.4.4.1 South Korea Artificial Intelligence in Sports Market by Offering
      • 10.3.4.4.2 South Korea Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.4.3 South Korea Artificial Intelligence in Sports Market by Technology
    • 10.3.4.5 Australia Artificial Intelligence in Sports Market
      • 10.3.4.5.1 Australia Artificial Intelligence in Sports Market by Offering
      • 10.3.4.5.2 Australia Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.5.3 Australia Artificial Intelligence in Sports Market by Technology
    • 10.3.4.6 Malaysia Artificial Intelligence in Sports Market
      • 10.3.4.6.1 Malaysia Artificial Intelligence in Sports Market by Offering
      • 10.3.4.6.2 Malaysia Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.6.3 Malaysia Artificial Intelligence in Sports Market by Technology
    • 10.3.4.7 Rest of Asia Pacific Artificial Intelligence in Sports Market
      • 10.3.4.7.1 Rest of Asia Pacific Artificial Intelligence in Sports Market by Offering
      • 10.3.4.7.2 Rest of Asia Pacific Artificial Intelligence in Sports Market by Sports Type
      • 10.3.4.7.3 Rest of Asia Pacific Artificial Intelligence in Sports Market by Technology
• 10.4 LAMEA Artificial Intelligence in Sports Market
  • 10.4.1 LAMEA Artificial Intelligence in Sports Market by Offering
    • 10.4.1.1 LAMEA Solution Market by Country
    • 10.4.1.2 LAMEA Services Market by Country
  • 10.4.2 LAMEA Artificial Intelligence in Sports Market by Sports Type
    • 10.4.2.1 LAMEA Team Sports Market by Country
    • 10.4.2.2 LAMEA Esports Market by Country
    • 10.4.2.3 LAMEA Individual Market by Country
  • 10.4.3 LAMEA Artificial Intelligence in Sports Market by Technology
    • 10.4.3.1 LAMEA Gen AI Market by Country
    • 10.4.3.2 LAMEA Other AI Market by Country
  • 10.4.4 LAMEA Artificial Intelligence in Sports Market by Country
    • 10.4.4.1 Brazil Artificial Intelligence in Sports Market
      • 10.4.4.1.1 Brazil Artificial Intelligence in Sports Market by Offering
      • 10.4.4.1.2 Brazil Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.1.3 Brazil Artificial Intelligence in Sports Market by Technology
    • 10.4.4.2 Argentina Artificial Intelligence in Sports Market
      • 10.4.4.2.1 Argentina Artificial Intelligence in Sports Market by Offering
      • 10.4.4.2.2 Argentina Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.2.3 Argentina Artificial Intelligence in Sports Market by Technology
    • 10.4.4.3 UAE Artificial Intelligence in Sports Market
      • 10.4.4.3.1 UAE Artificial Intelligence in Sports Market by Offering
      • 10.4.4.3.2 UAE Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.3.3 UAE Artificial Intelligence in Sports Market by Technology
    • 10.4.4.4 Saudi Arabia Artificial Intelligence in Sports Market
      • 10.4.4.4.1 Saudi Arabia Artificial Intelligence in Sports Market by Offering
      • 10.4.4.4.2 Saudi Arabia Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.4.3 Saudi Arabia Artificial Intelligence in Sports Market by Technology
    • 10.4.4.5 South Africa Artificial Intelligence in Sports Market
      • 10.4.4.5.1 South Africa Artificial Intelligence in Sports Market by Offering
      • 10.4.4.5.2 South Africa Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.5.3 South Africa Artificial Intelligence in Sports Market by Technology
    • 10.4.4.6 Nigeria Artificial Intelligence in Sports Market
      • 10.4.4.6.1 Nigeria Artificial Intelligence in Sports Market by Offering
      • 10.4.4.6.2 Nigeria Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.6.3 Nigeria Artificial Intelligence in Sports Market by Technology
    • 10.4.4.7 Rest of LAMEA Artificial Intelligence in Sports Market
      • 10.4.4.7.1 Rest of LAMEA Artificial Intelligence in Sports Market by Offering
      • 10.4.4.7.2 Rest of LAMEA Artificial Intelligence in Sports Market by Sports Type
      • 10.4.4.7.3 Rest of LAMEA Artificial Intelligence in Sports Market by Technology

Chapter 11. Company Profiles

• 11.1 IBM Corporation
  • 11.1.1 Company Overview
  • 11.1.2 Financial Analysis
  • 11.1.3 Regional & Segmental Analysis
  • 11.1.4 Research & Development Expenses
  • 11.1.5 Recent strategies and developments:
    • 11.1.5.1 Partnerships, Collaborations, and Agreements:
  • 11.1.6 SWOT Analysis
• 11.2 Microsoft Corporation
  • 11.2.1 Company Overview
  • 11.2.2 Financial Analysis
  • 11.2.3 Segmental and Regional Analysis
  • 11.2.4 Research & Development Expenses
  • 11.2.5 Recent strategies and developments:
    • 11.2.5.1 Partnerships, Collaborations, and Agreements:
    • 11.2.5.2 Acquisition and Mergers:
  • 11.2.6 SWOT Analysis
• 11.3 Trumedia Networks, Inc.
  • 11.3.1 Company Overview
• 11.4 Google LLC (Alphabet Inc.)
  • 11.4.1 Company Overview
  • 11.4.2 Financial Analysis
  • 11.4.3 Segmental and Regional Analysis
  • 11.4.4 Research & Development Expenses
  • 11.4.5 Recent strategies and developments:
    • 11.4.5.1 Partnerships, Collaborations, and Agreements:
  • 11.4.6 SWOT Analysis
• 11.5 SAP SE
  • 11.5.1 Company Overview
  • 11.5.2 Financial Analysis
  • 11.5.3 Regional Analysis
  • 11.5.4 Research & Development Expense
  • 11.5.5 Recent strategies and developments:
    • 11.5.5.1 Partnerships, Collaborations, and Agreements:
  • 11.5.6 SWOT Analysis
• 11.6 Stats Perform Group
  • 11.6.1 Company Overview
  • 11.6.2 Recent strategies and developments:
    • 11.6.2.1 Partnerships, Collaborations, and Agreements:
    • 11.6.2.2 Product Launches and Product Expansions:
• 11.7 SAS Institute, Inc.
  • 11.7.1 Company Overview
  • 11.7.2 Recent strategies and developments:
    • 11.7.2.1 Acquisition and Mergers:
  • 11.7.3 SWOT Analysis
• 11.8 Oracle Corporation
  • 11.8.1 Company Overview
  • 11.8.2 Financial Analysis
  • 11.8.3 Segmental and Regional Analysis
  • 11.8.4 Research & Development Expense
  • 11.8.5 SWOT Analysis
• 11.9 Sportradar Group AG
  • 11.9.1 Company Overview
  • 11.9.2 Financial Analysis
  • 11.9.3 Regional Analysis
  • 11.9.4 Recent strategies and developments:
    • 11.9.4.1 Partnerships, Collaborations, and Agreements:
• 11.10. Catapult Group International Limited
  • 11.10.1 Company Overview
  • 11.10.2 Financial Analysis
  • 11.10.3 Segmental and Regional Analysis
  • 11.10.4 Recent strategies and developments:
    • 11.10.4.1 Partnerships, Collaborations, and Agreements:
    • 11.10.4.2 Product Launches and Product Expansions:

Chapter 12. Winning Imperatives of Artificial Intelligence in Sports Market