스포츠용 AI 시장 규모, 점유율, 동향 분석 리포트 : 제공별, 기술별, 스포츠 유형별, 지역별, 부문 예측(2025-2030년)

AI In Sports Market Size & Trends:

The global AI in sports market size was estimated at USD 8,917.7 million in 2024 and is expected to grow at a CAGR of 21.1% from 2025 to 2030. The market growth is driven by the rising use of AI-driven technologies by sports organizations to boost performance, streamline training, and elevate fan engagement.

Major growth factors include AI's capability to process large volumes of data, deliver real-time insights, and automate various tasks, thereby enhancing decision-making and operational efficiency. Artificial intelligence (AI) is also making an impact beyond the field, playing a role in areas like sports marketing, analytics, reporting, and performance evaluation. For instance, writing tools powered by AI are helping coaches to document training sessions more effectively, while sports journalists are using AI to generate match reports.

Recent market trends highlight the growing use of AI for athlete monitoring, performance evaluation, injury prevention, and enhancing fan experiences through virtual and augmented reality. Emerging opportunities in the AI sports market include expanding its application to areas like player search and development, integrating AI with wearable devices, and creating AI-driven platforms for sports betting and gaming. For instance, in December 2023, Intel introduced the ai.io platform and aiScout app, which enables athletes globally to showcase their skills, helping clubs to discover inaccessible talent. It also enhances performance analysis and injury prevention, transforming research and player development.

The increasing use of AI-powered analytics platforms is also significantly fueling the growth of AI in sports industry. These tools provide valuable insights into team dynamics, player performance, and opponents' strategies. AI algorithms excel at processing a variety of data sources, such as video footage, player-tracking information, and data from wearable sensors. By analyzing these datasets, AI can detect patterns or irregularities that might be missed by human observation. This helps teams and coaches make more informed decisions and gain a competitive edge.

Global AI In Sports Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global AI in sports market report based on offering, technology, sports type, and region:

• Offering Outlook (Revenue, USD Million, 2018 - 2030)
• Solution
• Services
• Technology Outlook (Revenue, USD Million, 2018 - 2030)
• Gen AI
• Other AI
• Sports Type Outlook (Revenue, USD Million, 2018 - 2030)
• Individual
• Team Sports
• Esports
• Regional Outlook (Revenue, USD Million, 2018 - 2030)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa (MEA)
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Research Methodology
  • 1.2.1. Information Procurement
• 1.3. Information or Data Analysis
• 1.4. Methodology
• 1.5. Research Scope and Assumptions
• 1.6. Market Formulation & Validation
• 1.7. Country-Based Segment Share Calculation
• 1.8. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. AI in Sports Market Variables, Trends, & Scope

• 3.1. Market Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. AI in Sports Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Bargaining power of the suppliers
    • 3.3.1.2. Bargaining power of the buyers
    • 3.3.1.3. Threats of substitution
    • 3.3.1.4. Threats from new entrants
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic and Social landscape
    • 3.3.2.3. Technological landscape
• 3.4. Pain Point Analysis

Chapter 4. AI in Sports Market: Offering Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. AI in Sports market: Offering Movement Analysis, 2022 & 2030 (USD Million)
• 4.3. Solution
  • 4.3.1. Solution Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.4. Services
  • 4.4.1. Services Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. AI in Sports Market: Technology Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. AI in Sports market: Technology Movement Analysis, 2022 & 2030 (USD Million)
• 5.3. Gen AI
  • 5.3.1. Gen AI in Sports market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.4. Other AI
  • 5.4.1. Other AI in Sports market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. AI in Sports Market: Sports Type Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. AI in Sports market: Sports Type Movement Analysis, 2022 & 2030 (USD Million)
• 6.3. Individual
  • 6.3.1. Individual AI in Sports market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.4. Team Sports
  • 6.4.1. Team Sports AI in Sports market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.5. Esports
  • 6.5.1. Esports AI in Sports market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. AI in Sports Market: Regional Estimates & Trend Analysis

• 7.1. AI in Sports Market Share, By Region, 2022 & 2030 (USD Million)
• 7.2. North America
  • 7.2.1. North America AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.2. U.S.
    • 7.2.2.1. U.S. AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.3. Canada
    • 7.2.3.1. Canada AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.4. Mexico
    • 7.2.4.1. Mexico AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.3. Europe
  • 7.3.1. Europe AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.2. UK
    • 7.3.2.1. UKE sports AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.3. Germany
    • 7.3.3.1. Germany AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.4. France
    • 7.3.4.1. France AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.4. Asia Pacific
  • 7.4.1. Asia Pacific AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.2. China
    • 7.4.2.1. China AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.3. Japan
    • 7.4.3.1. Japan AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.4. India
    • 7.4.4.1. India AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.5. South Korea
    • 7.4.5.1. South Korea AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.6. Australia
    • 7.4.6.1. Australia AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.5. Latin America
  • 7.5.1. Latin America AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.5.2. Brazil
    • 7.5.2.1. Brazil AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.6. Middle East and Africa
  • 7.6.1. Middle East and Africa AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.2. South Africa
    • 7.6.2.1. South Africa AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.3. UAE
    • 7.6.3.1. UAE AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.4. KSA
    • 7.6.4.1. KSA AI in Sports market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Company Categorization
• 8.2. Company Market Positioning
• 8.3. Participant's Overview
• 8.4. Financial Performance
• 8.5. Product Benchmarking
• 8.6. Company Heat Map Analysis
• 8.7. Strategy Mapping
• 8.8. Company Profiles/Listing
  • 8.8.1. International Business Machines Corporation (IBM)
    • 8.8.1.1. Participant's Overview
    • 8.8.1.2. Financial Performance
    • 8.8.1.3. Product Benchmarking
    • 8.8.1.4. Recent Developments
  • 8.8.2. Microsoft
    • 8.8.2.1. Participant's Overview
    • 8.8.2.2. Financial Performance
    • 8.8.2.3. Product Benchmarking
    • 8.8.2.4. Recent Developments
  • 8.8.3. Catapult
    • 8.8.3.1. Participant's Overview
    • 8.8.3.2. Financial Performance
    • 8.8.3.3. Product Benchmarking
    • 8.8.3.4. Recent Developments
  • 8.8.4. SAP SE or an SAP affiliate company
    • 8.8.4.1. Participant's Overview
    • 8.8.4.2. Financial Performance
    • 8.8.4.3. Product Benchmarking
    • 8.8.4.4. Recent Developments
  • 8.8.5. SAS Institute Inc.
    • 8.8.5.1. Participant's Overview
    • 8.8.5.2. Financial Performance
    • 8.8.5.3. Product Benchmarking
    • 8.8.5.4. Recent Developments
  • 8.8.6. Oracle
    • 8.8.6.1. Participant's Overview
    • 8.8.6.2. Financial Performance
    • 8.8.6.3. Product Benchmarking
    • 8.8.6.4. Recent Developments
  • 8.8.7. Sportradar AG
    • 8.8.7.1. Participant's Overview
    • 8.8.7.2. Financial Performance
    • 8.8.7.3. Product Benchmarking
    • 8.8.7.4. Recent Developments
  • 8.8.8. Pixellot
    • 8.8.8.1. Participant's Overview
    • 8.8.8.2. Financial Performance
    • 8.8.8.3. Product Benchmarking
    • 8.8.8.4. Recent Developments
  • 8.8.9. SwingVision Inc.
    • 8.8.9.1. Participant's Overview
    • 8.8.9.2. Financial Performance
    • 8.8.9.3. Product Benchmarking
    • 8.8.9.4. Recent Developments
  • 8.8.10. Zone7 Technologies Inc.
    • 8.8.10.1. Participant's Overview
    • 8.8.10.2. Financial Performance
    • 8.8.10.3. Product Benchmarking
    • 8.8.10.4. Recent Developments