스포츠 분야 인공지능 시장 규모, 점유율, 성장 분석 : 구성요소별, 용도별, 전개별, 지역별 - 업계 예측(2026-2033년)

Global Artificial Intelligence in Sports Market size was valued at USD 3.32 Billion in 2024 and is poised to grow from USD 4.32 Billion in 2025 to USD 35.7 Billion by 2033, growing at a CAGR of 30.2% during the forecast period (2026-2033).

The sports industry is increasingly integrating artificial intelligence to enhance various facets such as event analysis, game management, and coaching. This technology unveils endless possibilities, enabling athletes and organizers to elevate the fan experience significantly. AI is particularly influential in optimizing fan engagement through personalized interactions, while the rising participation in fantasy leagues further drives the demand for AI applications in sports. However, potential challenges related to data privacy and adoption hurdles pose significant constraints that may impact the growth of the artificial intelligence market in sports. As the industry evolves, balancing technological advancements with ethical considerations will be essential for sustainable development in this dynamic landscape.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence in Sports market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence in Sports Market Segments Analysis

Global Artificial Intelligence in Sports Market is segmented by Component, Application, Deployment and region. Based on Component, the market is segmented into Service and Software. Based on Application, the market is segmented into Player Analysis, Fan Engagement, Data Interpretation & Analysis and Other. Based on Deployment, the market is segmented into On-Premises and Cloud. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence in Sports Market

The integration of artificial intelligence in the sports sector enhances the ability to accurately assess athlete performance through the continuous collection of relevant metrics. By leveraging AI's capacity to analyze extensive datasets, sports organizations can efficiently evaluate performance trends and gain deep insights necessary for making informed decisions. This technological advancement not only streamlines the analysis process but also enables coaches and teams to devise tailored training programs that optimize athletes' potential. Consequently, the adoption of AI in sports is driving significant improvements in performance analysis, fostering better outcomes for athletes and teams alike.

Restraints in the Global Artificial Intelligence in Sports Market

The implementation of artificial intelligence in the sports industry facilitates the gathering of crucial data concerning athletes and teams, which is often sensitive in nature. However, apprehensions regarding the security and privacy of this information may hinder the advancement of the artificial intelligence market within sports. These concerns could create significant barriers, as stakeholders may be reluctant to fully embrace innovative technologies without adequate measures in place to protect confidential data. Consequently, the potential for market growth in artificial intelligence applications in sports may be limited due to these pressing issues surrounding data security and privacy.

Market Trends of the Global Artificial Intelligence in Sports Market

The global market for artificial intelligence in sports is experiencing a significant trend towards enhancing broadcasting and content creation. Companies are increasingly leveraging AI technologies to automate live camera operations and streamline editing processes, thereby improving the overall quality and efficiency of sports broadcasts. This shift not only enriches the viewer experience through more dynamic and engaging content but also allows broadcasting companies to optimize their workflows and reduce operational costs. As the demand for high-quality, real-time sports content continues to rise, the integration of AI solutions is becoming essential for competition and innovation within the industry.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2025
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Case Studies
• Technology Advancement
• Regulatory Landscape
• Startup Analysis
• Patent Analysis

Global Artificial Intelligence in Sports Market Size by Component & CAGR (2026-2033)

• Market Overview
• Service
• Software

Global Artificial Intelligence in Sports Market Size by Application & CAGR (2026-2033)

• Market Overview
• Player Analysis
  • Performance Tracking
  • Injury Prevention
  • Skill Development
• Fan Engagement
  • Personalized Content
  • Interactive Experiences
• Data Interpretation & Analysis
  • Game Strategy
  • Predictive Analytics
• Other
  • Sports Broadcasting
  • Ticket Sales Optimization

Global Artificial Intelligence in Sports Market Size by Deployment & CAGR (2026-2033)

• Market Overview
• On-Premises
• Cloud

Global Artificial Intelligence in Sports Market Size & CAGR (2026-2033)

• North America (Component, Application, Deployment)
  • US
  • Canada
• Europe (Component, Application, Deployment)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Application, Deployment)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Application, Deployment)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Application, Deployment)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• IBM Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google LLC (Alphabet Inc.) (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services, Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP SE (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Salesforce.com, Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Adobe Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Facebook, Inc. (Meta Platforms, Inc.) (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Apple Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Sony Corporation (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Infosys Limited (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture plc (Ireland)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cognizant Technology Solutions Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Wipro Limited (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Capgemini SE (France)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• HCL Technologies Limited (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tata Consultancy Services Limited (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations