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Global AI in Sports Market Size, Share & Trends Analysis Report, by Component (Software, Services), by Deployment Model (Cloud, On-Premises), by Technology (Machine Learning, Natural Language Processing, Computer Vision, Data Analytics, Others), by Applic

Publisher Bizwit Research & Consulting
Published Jan 11, 2025
Length 285 Pages
SKU # BIZW19502827

Description

Global AI in Sports Market Size, Share & Trends Analysis Report, by Component (Software, Services), by Deployment Model (Cloud, On-Premises), by Technology (Machine Learning, Natural Language Processing, Computer Vision, Data Analytics, Others), by Application (Game Planning, Performance Improvement, Injury Prevention, Others), by Game Type (Football, Cricket, Tennis, Basketball, Others), and Regional Forecasts 2022-2032


The global AI in Sports market, valued at approximately USD 1.11 billion in 2023, is poised for exponential growth at a compound annual growth rate (CAGR) of 16.7% during the forecast period from 2024 to 2032. This growth is primarily driven by the increasing demand for player tracking, performance monitoring, and real-time data analytics, coupled with the surge in adoption of AI-powered chatbots and virtual assistants to enhance fan engagement.

Key determinants for the market include the proliferation of AI in predictive analytics, enabling enhanced game strategies and planning. Additionally, advancements in AI technologies such as machine learning, natural language processing (NLP), and computer vision are revolutionizing various facets of sports, from injury prevention to recruitment analytics.

The integration of AI in sports facilitates personalized coaching, game performance optimization, and data-driven decision-making, offering transformative potential across various sports disciplines. However, challenges such as the high cost of implementation, maintenance, and a lack of skilled AI professionals remain as obstacles.

North America currently dominates the AI in Sports market, underpinned by robust technological infrastructure and early adoption of AI-based solutions. Asia-Pacific, on the other hand, is anticipated to exhibit the fastest growth, fueled by heavy investments in automation and AI to enhance sports productivity and fan experiences.

Major market players like Catapult Group International Ltd., IBM Corporation, Microsoft Corporation, and Sportradar AG are actively expanding their AI portfolios through strategic partnerships, product innovations, and acquisitions. These companies are focused on leveraging AI for real-time data analysis, injury simulations, and fan engagement tools, making the industry highly competitive.

The market segmentation reveals that software dominates by component, with cloud deployment gaining traction due to scalability and cost-effectiveness. Applications such as performance improvement and injury prevention are rapidly becoming pivotal in professional sports, further driving the adoption of AI solutions.

Major Market Players in the Report
• Catapult Group International Ltd.
• IBM Corporation
• Microsoft Corporation
• SAP SE
• Sportradar AG
• Stats Perform
• Trumedia Networks
• Facebook Inc.
• Salesforce.com Inc.
• SAS Institute Inc.

The detailed segments and sub-segments of the market are explained below:

By Component:
• Software
• Services

By Deployment Model:
• Cloud
• On-Premises

By Technology:
• Machine Learning
• Natural Language Processing (NLP)
• Computer Vision
• Data Analytics
• Others

By Application:
• Game Planning
• Performance Improvement
• Injury Prevention
• Sports Recruitment
• Others

By Game Type:
• Football
• Cricket
• Tennis
• Basketball
• Baseball
• Others

By Region:
• North America
U.S.
Canada
• Europe
UK
Germany
France
Italy
• Asia Pacific
China
India
Japan
Australia
South Korea
• Latin America
Brazil
• Middle East & Africa
UAE
South Africa

Years considered for the study:
• Historical year: 2022
• Base year: 2023
• Forecast period: 2024 to 2032

Key Takeaways
• Detailed revenue analysis for each market segment over a 10-year forecast period.
• Regional-level insights into market dynamics and competitive landscape.
• Strategic recommendations to capitalize on emerging opportunities.

Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.

Table of Contents

285 Pages
Chapter 1: Global AI in Sports Market Executive Summary
1.1. Global AI in Sports Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Component
1.3.2. By Deployment Model
1.3.3. By Technology
1.3.4. By Application
1.3.5. By Game Type
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2: Global AI in Sports Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer’s Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory Frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3: Global AI in Sports Market Dynamics
3.1. Market Drivers
3.1.1. Demand for real-time player monitoring and tracking
3.1.2. Growth in fan engagement tools using chatbots and virtual assistants
3.1.3. Increasing application of predictive analytics in sports
3.2. Market Challenges
3.2.1. High costs of implementation and maintenance
3.2.2. Lack of trained AI professionals
3.3. Market Opportunities
3.3.1. Adoption of AI for future game predictions
3.3.2. Investment in automated sports analytics solutions
Chapter 4: Global AI in Sports Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.1.7. Porter’s 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top Investment Opportunities
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5: Global AI in Sports Market Size & Forecast by Component (2022-2032)
5.1. Segment Dashboard
5.2. Global AI in Sports Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. Software
5.2.2. Services
Chapter 6: Global AI in Sports Market Size & Forecast by Deployment Model (2022-2032)
6.1. Segment Dashboard
6.2. Global AI in Sports Market: Deployment Model Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. Cloud
6.2.2. On-Premises
Chapter 7: Global AI in Sports Market Size & Forecast by Technology (2022-2032)
7.1. Segment Dashboard
7.2. Global AI in Sports Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. Machine Learning
7.2.2. Natural Language Processing
7.2.3. Computer Vision
7.2.4. Data Analytics
7.2.5. Others
Chapter 8: Global AI in Sports Market Size & Forecast by Application (2022-2032)
8.1. Segment Dashboard
8.2. Global AI in Sports Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
8.2.1. Game Planning
8.2.2. Performance Improvement
8.2.3. Injury Prevention
8.2.4. Sports Recruitment
8.2.5. Others
Chapter 9: Global AI in Sports Market Size & Forecast by Game Type (2022-2032)
9.1. Segment Dashboard
9.2. Global AI in Sports Market: Game Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
9.2.1. Football
9.2.2. Cricket
9.2.3. Basketball
9.2.4. Tennis
9.2.5. Baseball
9.2.6. Others
Chapter 10: Global AI in Sports Market Size & Forecast by Region (2022-2032)
10.1. North America AI in Sports Market
10.1.1. U.S. AI in Sports Market
10.1.2. Canada AI in Sports Market
10.2. Europe AI in Sports Market
10.2.1. UK AI in Sports Market
10.2.2. Germany AI in Sports Market
10.3. Asia Pacific AI in Sports Market
10.3.1. China AI in Sports Market
10.3.2. India AI in Sports Market
10.3.3. Japan AI in Sports Market
10.4. Latin America AI in Sports Market
10.4.1. Brazil AI in Sports Market
10.5. Middle East & Africa AI in Sports Market
10.5.1. UAE AI in Sports Market
10.5.2. South Africa AI in Sports Market
Chapter 11: Competitive Intelligence
11.1. Key Company SWOT Analysis
11.1.1. IBM Corporation
11.1.2. Sportradar AG
11.1.3. Microsoft Corporation
11.2. Top Market Strategies
11.3. Company Profiles
11.3.1. Catapult Group International Ltd.
11.3.2. Facebook Inc.
11.3.3. SAS Institute Inc.
11.3.4. Stats Perform
Chapter 12: Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
List of Tables
TABLE 1. Global AI in Sports Market, Report Scope
TABLE 2. Global AI in Sports Market Estimates & Forecast by Component (2022-2032) (USD Billion)
TABLE 3. Global AI in Sports Market Estimates & Forecast by Deployment Model (2022-2032) (USD Billion)
TABLE 4. Global AI in Sports Market Estimates & Forecast by Technology (2022-2032) (USD Billion)
TABLE 5. Global AI in Sports Market Estimates & Forecast by Application (2022-2032) (USD Billion)
TABLE 6. Global AI in Sports Market Estimates & Forecast by Game Type (2022-2032) (USD Billion)
TABLE 7. Global AI in Sports Market Estimates & Forecast by Region (2022-2032) (USD Billion)
TABLE 8. North America AI in Sports Market Estimates & Forecast (2022-2032) (USD Billion)
This list is not complete. The final report includes more than 100 tables. The list may be updated in the final deliverable.
List of Figures
FIGURE 1. Global AI in Sports Market Research Methodology
FIGURE 2. Global AI in Sports Market Size & Forecast by Region (2022-2032)
FIGURE 3. Global AI in Sports Market by Component, Share (%) (2022 & 2032)
FIGURE 4. Global AI in Sports Market by Deployment Model, Share (%) (2022 & 2032)
FIGURE 5. Global AI in Sports Market by Technology, Share (%) (2022 & 2032)
FIGURE 6. Global AI in Sports Market by Application, Share (%) (2022 & 2032)
FIGURE 7. Global AI in Sports Market by Game Type, Share (%) (2022 & 2032)
This list is not complete. The final report includes more than 50 figures. The list may be updated in the final deliverable.

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