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Artificial Intelligence in Sports Market Report and Forecast 2024-2032

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    Report

  • 164 Pages
  • June 2024
  • Region: Global
  • Expert Market Research
  • ID: 5982122

Market Outlook

According to this report, the global artificial intelligence in sports market size is projected to grow at a CAGR of 29.4% between 2024 and 2032. Aided by the increasing demand for advanced data analytics and the growing applications of artificial intelligence in various sports, the market is expected to significantly grow by 2032.

Artificial intelligence has revolutionised various sectors, including sports, by offering innovative solutions that enhance performance, strategy, and fan engagement. Artificial intelligence applications in sports range from predictive analytics and injury prevention to personalised training programs and immersive fan experiences. The integration of artificial intelligence technologies in sports has led to significant improvements in decision-making processes, player performance, and overall operational efficiency.

The increasing demand for advanced data analytics is driving the artificial intelligence in sports market growth. With the growing importance of data-driven decisions in sports, there has been a significant shift towards using artificial intelligence-powered analytics to gain insights into player performance, game strategies, and fan preferences. Additionally, the rising trend of sports technology adoption has further contributed to the increasing popularity of artificial intelligence in sports, as it helps teams and organisations stay competitive in a rapidly evolving sector.

The expanding applications of artificial intelligence in various sports also play a significant role in propelling the market. In professional sports, artificial intelligence is used for performance analysis, injury prediction, and tactical planning, enhancing the efficiency and effectiveness of teams. In recreational sports, artificial intelligence-powered fitness apps and wearable devices provide personalised artificial intelligence programs and real-time feedback, improving individual performance and motivation. Moreover, it's ability to create immersive and interactive fan experiences has made it a valuable tool for sports marketing and fan engagement.

Further, the growing focus on injury prevention and athlete health has led to increased adoption of artificial intelligence in sports. Artificial intelligence-powered systems can analyse vast amounts of data to identify potential injury risks and recommend preventive measures, helping to ensure the health and safety of athletes. This trend is expected to boost the market in the coming years, consequently driving up the artificial intelligence in sports market share.

Artificial intelligence-powered fitness apps and wearable devices offer personalised training programs tailored to individual needs and goals. These programs provide real-time feedback and recommendations based on the user's performance and progress, helping athletes and fitness enthusiasts achieve their objectives more effectively. The ability to customise training plans and monitor progress is a significant advantage of artificial intelligence in sports, contributing to its growing adoption.

Artificial intelligence technologies are transforming the way fans engage with sports by creating immersive and interactive experiences. Artificial intelligence-powered chatbots, virtual reality (VR), and augmented reality (AR) applications enhance fan engagement by providing personalized content, real-time updates, and interactive features. These innovations help sports organizations attract and retain fans, driving revenue and brand loyalty.

The use of artificial intelligence in sports operations enhances efficiency and reduces costs. Artificial intelligence-powered systems can automate various tasks, such as scheduling, ticketing, and customer service, freeing up resources and allowing organisations to focus on core activities. This increased operational efficiency is a significant driver of artificial intelligence adoption in the sports sector.

As per the artificial intelligence in sports market analysis, North American market for artificial intelligence in sports is driven by the high adoption of advanced technologies and the presence of major sports leagues and organisations. The region's strong focus on innovation and technological advancements supports the growth of the market. The increasing demand for data-driven decision-making and the growing popularity of artificial intelligence-powered fitness apps and wearable devices contribute to market growth in North America.

Market Segmentation

The market can be divided based on component, deployment, game type, application, and region.

Market Breakup by Component

  • Software
  • Service

Market Breakup by Deployment

  • Cloud
  • On-premises

Market Breakup by Game Type

  • Football
  • Cricket
  • Tennis
  • Basketball
  • Baseball
  • Others

Market Breakup by Application

  • Game Planning
  • Game Strategies
  • Performance Improvement
  • Injury Prevention
  • Sports Recruitment
  • Others

Market Breakup by Region

  • North America
  • Latin America
  • Europe
  • Asia Pacific
  • Middle East and Africa

Competitive landscape

The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in artificial intelligence in sports market. some of the major players explored in the report are as follows:
  • IBM Corporation
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Catapult Group International Ltd
  • STATS LLC
  • Sportradar AG
  • V7 Ltd.
  • DataRobot, Inc.
  • Sony Group Corporation
  • Others

Table of Contents

1 Preface2 Report Coverage - Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Artificial Intelligence in Sports Market Analysis
8.1 Key Industry Highlights
8.2 Global Artificial Intelligence in Sports Historical Market (2018-2023)
8.3 Global Artificial Intelligence in Sports Market Forecast (2024-2032)
8.4 Global Artificial Intelligence in Sports Market by Component
8.4.1 Software
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Service
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global Artificial Intelligence in Sports Market by Deployment
8.5.1 Cloud
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 On-premises
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Artificial Intelligence in Sports Market by Game Type
8.6.1 Football
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Cricket
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Tennis
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.6.4 Basketball
8.6.4.1 Historical Trend (2018-2023)
8.6.4.2 Forecast Trend (2024-2032)
8.6.5 Baseball
8.6.5.1 Historical Trend (2018-2023)
8.6.5.2 Forecast Trend (2024-2032)
8.6.6 Others
8.7 Global Artificial Intelligence in Sports Market by Application
8.7.1 Game Planning
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Game Strategies
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Performance Improvement
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Injury Prevention
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Sports Recruitment
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
8.7.6 Others
8.8 Global Artificial Intelligence in Sports Market by Region
8.8.1 North America
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Europe
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Asia Pacific
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Latin America
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Middle East and Africa
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
9 North America Artificial Intelligence in Sports Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Artificial Intelligence in Sports Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Artificial Intelligence in Sports Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Artificial Intelligence in Sports Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Artificial Intelligence in Sports Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 IBM Corporation
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 SAS Institute Inc.
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Salesforce, Inc.
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Catapult Group International Ltd
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 STATS LLC
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Sportradar AG
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 V7 Ltd.
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 DataRobot, Inc.
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 Sony Group Corporation
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Artificial Intelligence in Sports Market: Key Industry Highlights, 2018 and 2032
2. Global Artificial Intelligence in Sports Historical Market: Breakup by Component (USD Million), 2018-2023
3. Global Artificial Intelligence in Sports Market Forecast: Breakup by Component (USD Million), 2024-2032
4. Global Artificial Intelligence in Sports Historical Market: Breakup by Deployment (USD Million), 2018-2023
5. Global Artificial Intelligence in Sports Market Forecast: Breakup by Deployment (USD Million), 2024-2032
6. Global Artificial Intelligence in Sports Historical Market: Breakup by Game Type (USD Million), 2018-2023
7. Global Artificial Intelligence in Sports Market Forecast: Breakup by Game Type (USD Million), 2024-2032
8. Global Artificial Intelligence in Sports Historical Market: Breakup by Application (USD Million), 2018-2023
9. Global Artificial Intelligence in Sports Market Forecast: Breakup by Application (USD Million), 2024-2032
10. Global Artificial Intelligence in Sports Historical Market: Breakup by Region (USD Million), 2018-2023
11. Global Artificial Intelligence in Sports Market Forecast: Breakup by Region (USD Million), 2024-2032
12. North America Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
13. North America Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
14. Europe Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
15. Europe Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
16. Asia Pacific Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
17. Asia Pacific Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
18. Latin America Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
19. Latin America Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
20. Middle East and Africa Artificial Intelligence in Sports Historical Market: Breakup by Country (USD Million), 2018-2023
21. Middle East and Africa Artificial Intelligence in Sports Market Forecast: Breakup by Country (USD Million), 2024-2032
22. Global Artificial Intelligence in Sports Market Structure

Companies Mentioned

  • IBM Corporation
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Catapult Group International Ltd
  • STATS LLC
  • Sportradar AG
  • V7 Ltd.
  • DataRobot, Inc.
  • Sony Group Corporation

Methodology

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Table Information