Artificial Intelligence in Sports Market by Component, Technology, Deployment, Application, Game Type

Description

List of Tables

[186 Pages Report] The Artificial Intelligence in Sports Market size was estimated at USD 5.91 billion in 2023 and expected to reach USD 7.20 billion in 2024, at a CAGR 23.52% to reach USD 25.95 billion by 2030.

Artificial intelligence (AI) in sports includes using computer systems that can perform tasks requiring human intelligence, such as analyzing large data sets, making predictions, and even controlling robots. These tasks are accomplished through various AI technologies, including machine learning, where computers learn from data without explicit programming, and deep learning, a subset of machine learning with capabilities for more advanced data analysis. The rising expansion of sports activities with the growing popularity of advanced analytics platforms within sports teams and leagues is driving the demand for artificial intelligence (AI) in sports. The increasing focus of sports franchises on seeking innovative ways to engage fans is creating a platform for market growth. High implementation costs and availability of certain privacy and security concerns with the usage of artificial intelligence (AI) in sports solutions are hampering the market growth. The integration of advanced AI technologies in sports analytics that provides significant opportunities for enhanced performance monitoring and player evaluation are expected to create opportunities for market growth. Tools powered by AI can analyze vast amounts of data from player performance to provide insights that help in improving techniques, strategizing, and preventing injuries.

KEY MARKET STATISTICS
Base Year [2023]	USD 5.91 billion
Estimated Year [2024]	USD 7.20 billion
Forecast Year [2030]	USD 25.95 billion
CAGR (%)	23.52%

Regional Insights

In the Americas, the adoption of AI in sports is quite advanced with the high popularity of sports including, football, basketball, and hockey. Major leagues started utilizing AI for various purposes including player performance analytics, injury prevention, fan engagement, and operational efficiencies, creating a platform for market growth in the Americas. AI technologies are being used to enhance experiences by providing advanced statistics and personalized content to fans, as well as to optimize team strategy and player conditioning. The APAC region is experiencing rapid growth in the AI in sports market, driven by increasing technological adoption and rising sports analytics for performance enhancement. Countries such as China, Japan, and Australia are focusing on integrating AI technologies for sports analytics broadcasting and sports management. The growth in this region is supported by technological advancements and increasing investments in sports infrastructure. In Europe, there is a strong focus on football, where AI is used extensively for match analysis, player performance, and scouting. The region shows a sophisticated approach to AI in sports, given its rich sporting culture and the presence of globally recognized football leagues and clubs. Additionally, countries such as Germany and the UK are pioneers in sports technology research and development, boosting regional growth. The Middle Eastern countries are increasingly investing in sports technology to enhance facilities and global sporting events including, the FIFA World Cup in Qatar. Africa is gradually adopting sports AI, primarily in major sports regions including, South Africa.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Sports Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers
- Growing popularity of advanced analytics platforms within sports teams and leagues
- Increasing focus of sports franchises to seek innovative ways to engage fans

Market Restraints
- High implementation costs of technology

Market Opportunities
- Continuous advancements in AI technology and related products
- Strategic partnerships and industry collaborations between technology providers and sports organizations.

Market Challenges
- Limited compatibility with existing systems

Market Segmentation Analysis
- Component: Rising usage of AI services in sports to help coaches, trainers, and sports organizations make informed decisions
- Application: High potential of AI in sports for broadcasting to interpret live data for richer and provide real-time sports commentary

Market Disruption Analysis
Porter's Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Sports Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence in Sports Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

BeONE Sports Partners with MobiDev to Launch AI-Powered Training Platform

BeONE Sports, in collaboration with MobiDev, has introduced a groundbreaking AI-enhanced training platform utilizing advanced human pose estimation technology to boost athlete performance. This innovative platform offers real-time feedback and customized training insights, presenting a novel, data-driven method to optimize athlete training routines. This partnership promises to transform traditional training approaches by integrating sophisticated, technology-driven solutions to elevate athletic performance. [Published On: 2023-12-26]

Integration of CHAT GPT-4 in Sports Marketing Campaigns

MILLIONS.co has become the first sports marketing platform to harness CHAT GPT-4 for building athlete-driven influencer marketing campaigns. This AI technology enables brands to efficiently generate tailored campaign proposals by specifying requirements such as campaign type, athlete focus, and demographic targets. The AI system then presents various campaign options, allowing brands to refine based on factors like location, audience demographics, campaign style, and budget. [Published On: 2023-06-07]

Introduction of PrestoAI by PrestoSports: Revolutionizing Sports Content Creation through AI Technology

PrestoSports has unveiled PrestoAI, a cutting-edge product designed to transform the creation of sports-related content. This advanced AI tool automatically generates articles from statistical data and game highlights, swiftly producing engaging and accurate content. Integrated within the PrestoWeb CMS, PrestoAI supports real-time publication and customizable features to meet specific organizational needs. By automating content generation, it allows sports organizations to allocate resources more effectively, enhancing efficiency without compromising on the quality of the output. [Published On: 2023-03-14]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Sports Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Sports Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Apple Inc., Catapult Group International Ltd, Fujitsu Limited, Google LLC, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Movella Holdings Inc., NEC Corporation, Oracle Corporation, Perform Group, Qualcomm Technologies, Inc., Salesforce.com Inc., SAS Institute, Inc., Siemens AG, Sony Group Corporation, Sportradar AG, Trumedia Networks, and Zebra Technologies Corporation.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Sports Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
- Service
- Software

Technology
- Computer Vision
- Data Analytics
- Machine Learning
- Natural Language Processing

Deployment
- Cloud
- On-premise

Application
- Broadcasting
- Fan Engagement
- Game Strategy Development
- Injury Prevention & Recovery
- Performance Analysis
- Referee Assistance
- Scouting & Recruitment
- Venue Management

Game Type
- Baseball
- Basketball
- Cricket
- Football
- Tennis

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

Product Code: MRR-5D693B46C020

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Growing popularity of advanced analytics platforms within sports teams and leagues
  - 5.1.1.2. Increasing focus of sports franchises to seek innovative ways to engage fans
- 5.1.2. Restraints
  - 5.1.2.1. High implementation costs of technology
- 5.1.3. Opportunities
  - 5.1.3.1. Continuous advancements in AI technology and related products
  - 5.1.3.2. Strategic partnerships and industry collaborations between technology providers and sports organizations.
- 5.1.4. Challenges
  - 5.1.4.1. Limited compatibility with existing systems
5.2. Market Segmentation Analysis
- 5.2.1. Component: Rising usage of AI services in sports to help coaches, trainers, and sports organizations make informed decisions
- 5.2.2. Application: High potential of AI in sports for broadcasting to interpret live data for richer and provide real-time sports commentary
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Artificial Intelligence in Sports Market, by Component

6.1. Introduction
6.2. Service
6.3. Software

7. Artificial Intelligence in Sports Market, by Technology

7.1. Introduction
7.2. Computer Vision
7.3. Data Analytics
7.4. Machine Learning
7.5. Natural Language Processing

8. Artificial Intelligence in Sports Market, by Deployment

8.1. Introduction
8.2. Cloud
8.3. On-premise

9. Artificial Intelligence in Sports Market, by Application

9.1. Introduction
9.2. Broadcasting
9.3. Fan Engagement
9.4. Game Strategy Development
9.5. Injury Prevention & Recovery
9.6. Performance Analysis
9.7. Referee Assistance
9.8. Scouting & Recruitment
9.9. Venue Management

10. Artificial Intelligence in Sports Market, by Game Type

10.1. Introduction
10.2. Baseball
10.3. Basketball
10.4. Cricket
10.5. Football
10.6. Tennis

11. Americas Artificial Intelligence in Sports Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Artificial Intelligence in Sports Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Sports Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. BeONE Sports Partners with MobiDev to Launch AI-Powered Training Platform
- 14.3.2. Integration of CHAT GPT-4 in Sports Marketing Campaigns
- 14.3.3. Introduction of PrestoAI by PrestoSports: Revolutionizing Sports Content Creation through AI Technology
14.4. Strategy Analysis & Recommendation

15. Competitive Portfolio

15.1. Key Company Profiles
15.2. Key Product Portfolio