Artificial Intelligence in Sports Market By Component, By Deployment Model, By Technology, By Application, By Game Type : Global Opportunity Analysis and Industry Forecast, 2023-2032

Description

List of Tables

Artificial intelligence (AI) in sports covers post-game analysis, in-game activity, and even the fan experience. AI is further being used to enhance the performance of players. Apps such as HomeCourt, ESPN Player and MaxOne (M1) AI SmartCoach make use of computer vision and machine learning to assess basketball players' skills, giving them a good medium to improve their game. In addition, the recording of these performance metrics of athletes helps players to understand the areas where the player has maximum potential to excel and the areas that still need improvement.

Artificial Intelligence in Sports Market - IMG1

The report covers the study of AI in sports market along with its component, deployment mode, technology, application and sports type. The research involves a study of AI in sports solutions, which includes revenue realized from the sale of commercial licenses as well as revenue realized from the upgrade charges of open-source AI in sports solutions. The applications of the artificial neural network solutions considered in the report are image recognition, fraud detection, and data mining processes.

In addition, there are several advantages to using AI technology, including gains in production and efficiency. AI-powered solutions can continuously monitor systems, endpoints, and networks, enabling swift response and real-time visibility into any security breaches. This further leads to more accurate and effective sports operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the sports solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, the integration of intelligent AI solutions in various applications has the potential to create several benefits for businesses and end users. Moreover, these numerous benefits provide enhanced customer convenience and a better security experience. Consequently, AI in sports technology is gaining significant adoption to increase the use of automation systems among business operators. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth.

Moreover, the surge in usage of IoT devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global AI in sports market. Moreover, growing demand for flexible security services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period.

Increase in demand for monitoring and tracking data of players and surge in need for chatbots & virtual assistants to interact with followers act as the key driving forces of the global artificial intelligence in sports market. In addition, the expansion popular for ongoing information investigation decidedly influences the development of the market. However, the absence of prepared and talented experts and high execution and upkeep costs hamper the market development. On the contrary, surge in demand of AI for making future predictions is expected to offer remunerative opportunities for expansion of the market during the forecast period.

The artificial intelligence in sports market is segmented into component, deployment model, technology, application, game type, and region. Depending on the component, the market is bifurcated into software and services. By deployment model, it is categorized on-premises and cloud. On the basis of technology, it is fragmented into machine learning, natural language processing, computer vision, data analytics, and others. By application, it is segregated into game planning, game strategies, performance improvement, injury prevention sports recruitment, and others. As per game type, it is classified into football, cricket, tennis, basketball, baseball, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Competitive analysis and profiles of the major players in the artificial intelligence in sports market are Catapult Group International Ltd., Facebook Inc., IBM Corporation, Microsoft Corporation, Salesforce.com Inc., SAP SE, SAS Institute Inc., Sportradar AG, Stats Perform, and Trumedia Networks. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of artificial intelligence in sports market globally.

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the AI in sports market forecast along with the current and future trends to explain the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on AI in sports market trends is provided in the report.
The Porter's five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the AI in sports market from 2022 to 2032 is provided to determine the market potential.

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Investment Opportunities
Market share analysis of players by products/segments
Regulatory Guidelines
Additional company profiles with specific to client's interest
Additional country or region analysis- market size and forecast
Market share analysis of players at global/region/country level
SWOT Analysis

Key Market Segments

By Component

Software
Service

By Deployment Model

On-premise
Cloud

By Technology

Machine Learning
Natural Language Processing
Computer Vision
Data Analytics
Others

By Application

Game Planning
Game Strategies
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
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa

Key Market Players:

Meta Platforms, Inc.
IBM Corporation
Microsoft Corporation
SAP SE
SAS Institute Inc
Stats Perform
Catapult Group International Limited.
TruMedia Networks
Salesforce.com Inc.
Sportradar AG

Product Code: A12905

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
3.3. Porter's five forces analysis
- 3.3.1. Low bargaining power of suppliers
- 3.3.2. Low threat of new entrants
- 3.3.3. Low threat of substitutes
- 3.3.4. Low intensity of rivalry
- 3.3.5. Low bargaining power of buyers
3.4. Market dynamics
- 3.4.1. Drivers
  - 3.4.1.1. Increase in demand for monitoring and tracking data of players
  - 3.4.1.2. Surge in demand for chatbots and virtual assistants to interact with followers
  - 3.4.1.3. Rise in demand for real-time data analytics
- 3.4.2. Restraints
  - 3.4.2.1. Lack of trained & skilled professionals
  - 3.4.2.2. High implementation and maintenance cost
- 3.4.3. Opportunities
  - 3.4.3.1. Upsurge in demand for AI to make future predictions

CHAPTER 4: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY COMPONENT

4.1. Overview
- 4.1.1. Market size and forecast
4.2. Software
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
4.3. Service
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country

CHAPTER 5: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY DEPLOYMENT MODEL

5.1. Overview
- 5.1.1. Market size and forecast
5.2. On-premise
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
5.3. Cloud
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country

CHAPTER 6: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY TECHNOLOGY

6.1. Overview
- 6.1.1. Market size and forecast
6.2. Machine Learning
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
6.3. Natural Language Processing
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country
6.4. Computer Vision
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by region
- 6.4.3. Market share analysis by country
6.5. Data Analytics
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by region
- 6.5.3. Market share analysis by country
6.6. Others
- 6.6.1. Key market trends, growth factors and opportunities
- 6.6.2. Market size and forecast, by region
- 6.6.3. Market share analysis by country

CHAPTER 7: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY APPLICATION

7.1. Overview
- 7.1.1. Market size and forecast
7.2. Game Planning
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by region
- 7.2.3. Market share analysis by country
7.3. Game Strategies
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by region
- 7.3.3. Market share analysis by country
7.4. Performance Improvement
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by region
- 7.4.3. Market share analysis by country
7.5. Injury Prevention
- 7.5.1. Key market trends, growth factors and opportunities
- 7.5.2. Market size and forecast, by region
- 7.5.3. Market share analysis by country
7.6. Sports Recruitment
- 7.6.1. Key market trends, growth factors and opportunities
- 7.6.2. Market size and forecast, by region
- 7.6.3. Market share analysis by country
7.7. Others
- 7.7.1. Key market trends, growth factors and opportunities
- 7.7.2. Market size and forecast, by region
- 7.7.3. Market share analysis by country

CHAPTER 8: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY GAME TYPE

8.1. Overview
- 8.1.1. Market size and forecast
8.2. Football
- 8.2.1. Key market trends, growth factors and opportunities
- 8.2.2. Market size and forecast, by region
- 8.2.3. Market share analysis by country
8.3. Cricket
- 8.3.1. Key market trends, growth factors and opportunities
- 8.3.2. Market size and forecast, by region
- 8.3.3. Market share analysis by country
8.4. Tennis
- 8.4.1. Key market trends, growth factors and opportunities
- 8.4.2. Market size and forecast, by region
- 8.4.3. Market share analysis by country
8.5. Basketball
- 8.5.1. Key market trends, growth factors and opportunities
- 8.5.2. Market size and forecast, by region
- 8.5.3. Market share analysis by country
8.6. Baseball
- 8.6.1. Key market trends, growth factors and opportunities
- 8.6.2. Market size and forecast, by region
- 8.6.3. Market share analysis by country
8.7. Others
- 8.7.1. Key market trends, growth factors and opportunities
- 8.7.2. Market size and forecast, by region
- 8.7.3. Market share analysis by country

CHAPTER 9: ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, BY REGION

9.1. Overview
- 9.1.1. Market size and forecast By Region
9.2. North America
- 9.2.1. Key market trends, growth factors and opportunities
- 9.2.2. Market size and forecast, by Component
- 9.2.3. Market size and forecast, by Deployment Model
- 9.2.4. Market size and forecast, by Technology
- 9.2.5. Market size and forecast, by Application
- 9.2.6. Market size and forecast, by Game Type
- 9.2.7. Market size and forecast, by country
  - 9.2.7.1. U.S.
  - 9.2.7.1.1. Market size and forecast, by Component
  - 9.2.7.1.2. Market size and forecast, by Deployment Model
  - 9.2.7.1.3. Market size and forecast, by Technology
  - 9.2.7.1.4. Market size and forecast, by Application
  - 9.2.7.1.5. Market size and forecast, by Game Type
  - 9.2.7.2. Canada
  - 9.2.7.2.1. Market size and forecast, by Component
  - 9.2.7.2.2. Market size and forecast, by Deployment Model
  - 9.2.7.2.3. Market size and forecast, by Technology
  - 9.2.7.2.4. Market size and forecast, by Application
  - 9.2.7.2.5. Market size and forecast, by Game Type
9.3. Europe
- 9.3.1. Key market trends, growth factors and opportunities
- 9.3.2. Market size and forecast, by Component
- 9.3.3. Market size and forecast, by Deployment Model
- 9.3.4. Market size and forecast, by Technology
- 9.3.5. Market size and forecast, by Application
- 9.3.6. Market size and forecast, by Game Type
- 9.3.7. Market size and forecast, by country
  - 9.3.7.1. UK
  - 9.3.7.1.1. Market size and forecast, by Component
  - 9.3.7.1.2. Market size and forecast, by Deployment Model
  - 9.3.7.1.3. Market size and forecast, by Technology
  - 9.3.7.1.4. Market size and forecast, by Application
  - 9.3.7.1.5. Market size and forecast, by Game Type
  - 9.3.7.2. Germany
  - 9.3.7.2.1. Market size and forecast, by Component
  - 9.3.7.2.2. Market size and forecast, by Deployment Model
  - 9.3.7.2.3. Market size and forecast, by Technology
  - 9.3.7.2.4. Market size and forecast, by Application
  - 9.3.7.2.5. Market size and forecast, by Game Type
  - 9.3.7.3. France
  - 9.3.7.3.1. Market size and forecast, by Component
  - 9.3.7.3.2. Market size and forecast, by Deployment Model
  - 9.3.7.3.3. Market size and forecast, by Technology
  - 9.3.7.3.4. Market size and forecast, by Application
  - 9.3.7.3.5. Market size and forecast, by Game Type
  - 9.3.7.4. Italy
  - 9.3.7.4.1. Market size and forecast, by Component
  - 9.3.7.4.2. Market size and forecast, by Deployment Model
  - 9.3.7.4.3. Market size and forecast, by Technology
  - 9.3.7.4.4. Market size and forecast, by Application
  - 9.3.7.4.5. Market size and forecast, by Game Type
  - 9.3.7.5. Spain
  - 9.3.7.5.1. Market size and forecast, by Component
  - 9.3.7.5.2. Market size and forecast, by Deployment Model
  - 9.3.7.5.3. Market size and forecast, by Technology
  - 9.3.7.5.4. Market size and forecast, by Application
  - 9.3.7.5.5. Market size and forecast, by Game Type
  - 9.3.7.6. Rest of Europe
  - 9.3.7.6.1. Market size and forecast, by Component
  - 9.3.7.6.2. Market size and forecast, by Deployment Model
  - 9.3.7.6.3. Market size and forecast, by Technology
  - 9.3.7.6.4. Market size and forecast, by Application
  - 9.3.7.6.5. Market size and forecast, by Game Type
9.4. Asia-Pacific
- 9.4.1. Key market trends, growth factors and opportunities
- 9.4.2. Market size and forecast, by Component
- 9.4.3. Market size and forecast, by Deployment Model
- 9.4.4. Market size and forecast, by Technology
- 9.4.5. Market size and forecast, by Application
- 9.4.6. Market size and forecast, by Game Type
- 9.4.7. Market size and forecast, by country
  - 9.4.7.1. China
  - 9.4.7.1.1. Market size and forecast, by Component
  - 9.4.7.1.2. Market size and forecast, by Deployment Model
  - 9.4.7.1.3. Market size and forecast, by Technology
  - 9.4.7.1.4. Market size and forecast, by Application
  - 9.4.7.1.5. Market size and forecast, by Game Type
  - 9.4.7.2. Japan
  - 9.4.7.2.1. Market size and forecast, by Component
  - 9.4.7.2.2. Market size and forecast, by Deployment Model
  - 9.4.7.2.3. Market size and forecast, by Technology
  - 9.4.7.2.4. Market size and forecast, by Application
  - 9.4.7.2.5. Market size and forecast, by Game Type
  - 9.4.7.3. India
  - 9.4.7.3.1. Market size and forecast, by Component
  - 9.4.7.3.2. Market size and forecast, by Deployment Model
  - 9.4.7.3.3. Market size and forecast, by Technology
  - 9.4.7.3.4. Market size and forecast, by Application
  - 9.4.7.3.5. Market size and forecast, by Game Type
  - 9.4.7.4. Australia
  - 9.4.7.4.1. Market size and forecast, by Component
  - 9.4.7.4.2. Market size and forecast, by Deployment Model
  - 9.4.7.4.3. Market size and forecast, by Technology
  - 9.4.7.4.4. Market size and forecast, by Application
  - 9.4.7.4.5. Market size and forecast, by Game Type
  - 9.4.7.5. South Korea
  - 9.4.7.5.1. Market size and forecast, by Component
  - 9.4.7.5.2. Market size and forecast, by Deployment Model
  - 9.4.7.5.3. Market size and forecast, by Technology
  - 9.4.7.5.4. Market size and forecast, by Application
  - 9.4.7.5.5. Market size and forecast, by Game Type
  - 9.4.7.6. Rest of Asia-Pacific
  - 9.4.7.6.1. Market size and forecast, by Component
  - 9.4.7.6.2. Market size and forecast, by Deployment Model
  - 9.4.7.6.3. Market size and forecast, by Technology
  - 9.4.7.6.4. Market size and forecast, by Application
  - 9.4.7.6.5. Market size and forecast, by Game Type
9.5. LAMEA
- 9.5.1. Key market trends, growth factors and opportunities
- 9.5.2. Market size and forecast, by Component
- 9.5.3. Market size and forecast, by Deployment Model
- 9.5.4. Market size and forecast, by Technology
- 9.5.5. Market size and forecast, by Application
- 9.5.6. Market size and forecast, by Game Type
- 9.5.7. Market size and forecast, by country
  - 9.5.7.1. Latin America
  - 9.5.7.1.1. Market size and forecast, by Component
  - 9.5.7.1.2. Market size and forecast, by Deployment Model
  - 9.5.7.1.3. Market size and forecast, by Technology
  - 9.5.7.1.4. Market size and forecast, by Application
  - 9.5.7.1.5. Market size and forecast, by Game Type
  - 9.5.7.2. Middle East
  - 9.5.7.2.1. Market size and forecast, by Component
  - 9.5.7.2.2. Market size and forecast, by Deployment Model
  - 9.5.7.2.3. Market size and forecast, by Technology
  - 9.5.7.2.4. Market size and forecast, by Application
  - 9.5.7.2.5. Market size and forecast, by Game Type
  - 9.5.7.3. Africa
  - 9.5.7.3.1. Market size and forecast, by Component
  - 9.5.7.3.2. Market size and forecast, by Deployment Model
  - 9.5.7.3.3. Market size and forecast, by Technology
  - 9.5.7.3.4. Market size and forecast, by Application
  - 9.5.7.3.5. Market size and forecast, by Game Type

CHAPTER 10: COMPETITIVE LANDSCAPE

10.1. Introduction
10.2. Top winning strategies
10.3. Product mapping of top 10 player
10.4. Competitive dashboard
10.5. Competitive heatmap
10.6. Top player positioning, 2022

CHAPTER 11: COMPANY PROFILES

11.1. Catapult Group International Limited.
- 11.1.1. Company overview
- 11.1.2. Key executives
- 11.1.3. Company snapshot
- 11.1.4. Operating business segments
- 11.1.5. Product portfolio
- 11.1.6. Business performance
- 11.1.7. Key strategic moves and developments
11.2. Meta Platforms, Inc.
- 11.2.1. Company overview
- 11.2.2. Key executives
- 11.2.3. Company snapshot
- 11.2.4. Operating business segments
- 11.2.5. Product portfolio
- 11.2.6. Business performance
- 11.2.7. Key strategic moves and developments
11.3. IBM Corporation
- 11.3.1. Company overview
- 11.3.2. Key executives
- 11.3.3. Company snapshot
- 11.3.4. Operating business segments
- 11.3.5. Product portfolio
- 11.3.6. Business performance
- 11.3.7. Key strategic moves and developments
11.4. Microsoft Corporation
- 11.4.1. Company overview
- 11.4.2. Key executives
- 11.4.3. Company snapshot
- 11.4.4. Operating business segments
- 11.4.5. Product portfolio
- 11.4.6. Business performance
- 11.4.7. Key strategic moves and developments
11.5. Salesforce.com Inc.
- 11.5.1. Company overview
- 11.5.2. Key executives
- 11.5.3. Company snapshot
- 11.5.4. Operating business segments
- 11.5.5. Product portfolio
- 11.5.6. Business performance
- 11.5.7. Key strategic moves and developments
11.6. SAP SE
- 11.6.1. Company overview
- 11.6.2. Key executives
- 11.6.3. Company snapshot
- 11.6.4. Operating business segments
- 11.6.5. Product portfolio
- 11.6.6. Business performance
11.7. SAS Institute Inc
- 11.7.1. Company overview
- 11.7.2. Key executives
- 11.7.3. Company snapshot
- 11.7.4. Operating business segments
- 11.7.5. Product portfolio
- 11.7.6. Key strategic moves and developments
11.8. Sportradar AG
- 11.8.1. Company overview
- 11.8.2. Key executives
- 11.8.3. Company snapshot
- 11.8.4. Operating business segments
- 11.8.5. Product portfolio
- 11.8.6. Business performance
- 11.8.7. Key strategic moves and developments
11.9. Stats Perform
- 11.9.1. Company overview
- 11.9.2. Key executives
- 11.9.3. Company snapshot
- 11.9.4. Operating business segments
- 11.9.5. Product portfolio
- 11.9.6. Key strategic moves and developments
11.10. TruMedia Networks
- 11.10.1. Company overview
- 11.10.2. Key executives
- 11.10.3. Company snapshot
- 11.10.4. Operating business segments
- 11.10.5. Product portfolio
- 11.10.6. Key strategic moves and developments