The Asia Pacific Artificial Intelligence in Sports Market is expected to witness market growth of 33.1% CAGR during the forecast period (2021 2027).
In recent years, offering the best possible customer experience to fans has become more important than ever. Artificial intelligence (AI) is transforming the sports sector by assisting clubs in providing exceptional customer engagement. Fans may communicate with their favorite athletes and learn more about them using chatbots and virtual assistants. Additionally, artificial intelligence can boost fan involvement even more by providing them with an app that gives them access to their favorite teams. They can track their tickets, receive updates when new stuff becomes available, find check-in locations on game day, and keep track of the schedule.
Teams have been meticulously tracking player information and making predictions on who is expected to be the next top athlete for decades. Scouting and recruiting, on the other hand, take on a whole new meaning with AI. In addition, team staff can record and monitor sophisticated data, then compare it to historical data, rather than utilizing basic metrics like home runs and goals scored. Moreover, this allows them to assess a player's market value or determine whether or not they is expected to be a good match for their squad.
At the China Table Tennis College of Shanghai University of Sport's training centre in east China's Shanghai, a row of ping-pong robots was seen using mechanical arms to serve, while young players on the other side of the tables were engrossed with hitting the balls with distinct landing points back.
These robotic instructors are ping-pong robots created by Shanghai Pong-bot Technology on their own. They were given the moniker Pang-bot and were released in batches. Ping-pong robots from Omron, a Japanese technology company, were on show at the third China International Import Expo (CIIE) and can play table tennis with humans.
Pong-bot and Omron's robots employ high-speed cameras to measure the movement of the ball and artificial intelligence (AI) algorithms to forecast the ball's direction, expanding table tennis' possibilities.
The China market dominated the Asia Pacific Artificial Intelligence in Sports Market by Country in 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $581.6 million by 2027. The Japan market is anticipated to grow at a CAGR of 32.2% during (2021 - 2027). Additionally, The India market is expected to exhibit a CAGR of 34% during (2021 - 2027).
Based on Component, the market is segmented into Software and Services. Based on Game Type, the market is segmented into Football, Cricket, Basketball, Tennis, Baseball, and Others. Based on Application, the market is segmented into Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment, and Others. Based on Deployment model, the market is segmented into On-premise and Cloud. Based on Technology, the market is segmented into Machine Learning, Computer Vision, Data Analytics, Natural Language Processing, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Australia, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Catapult Group International Ltd., Facebook (Meta Platforms, Inc.), IBM Corporation, Microsoft Corporation, Salesforce.com, Inc., SAP SE, SAS Institute, Inc., Sportradar AG, Stats Perform, and Trumedia Networks.
In recent years, offering the best possible customer experience to fans has become more important than ever. Artificial intelligence (AI) is transforming the sports sector by assisting clubs in providing exceptional customer engagement. Fans may communicate with their favorite athletes and learn more about them using chatbots and virtual assistants. Additionally, artificial intelligence can boost fan involvement even more by providing them with an app that gives them access to their favorite teams. They can track their tickets, receive updates when new stuff becomes available, find check-in locations on game day, and keep track of the schedule.
Teams have been meticulously tracking player information and making predictions on who is expected to be the next top athlete for decades. Scouting and recruiting, on the other hand, take on a whole new meaning with AI. In addition, team staff can record and monitor sophisticated data, then compare it to historical data, rather than utilizing basic metrics like home runs and goals scored. Moreover, this allows them to assess a player's market value or determine whether or not they is expected to be a good match for their squad.
At the China Table Tennis College of Shanghai University of Sport's training centre in east China's Shanghai, a row of ping-pong robots was seen using mechanical arms to serve, while young players on the other side of the tables were engrossed with hitting the balls with distinct landing points back.
These robotic instructors are ping-pong robots created by Shanghai Pong-bot Technology on their own. They were given the moniker Pang-bot and were released in batches. Ping-pong robots from Omron, a Japanese technology company, were on show at the third China International Import Expo (CIIE) and can play table tennis with humans.
Pong-bot and Omron's robots employ high-speed cameras to measure the movement of the ball and artificial intelligence (AI) algorithms to forecast the ball's direction, expanding table tennis' possibilities.
The China market dominated the Asia Pacific Artificial Intelligence in Sports Market by Country in 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $581.6 million by 2027. The Japan market is anticipated to grow at a CAGR of 32.2% during (2021 - 2027). Additionally, The India market is expected to exhibit a CAGR of 34% during (2021 - 2027).
Based on Component, the market is segmented into Software and Services. Based on Game Type, the market is segmented into Football, Cricket, Basketball, Tennis, Baseball, and Others. Based on Application, the market is segmented into Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment, and Others. Based on Deployment model, the market is segmented into On-premise and Cloud. Based on Technology, the market is segmented into Machine Learning, Computer Vision, Data Analytics, Natural Language Processing, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Australia, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Catapult Group International Ltd., Facebook (Meta Platforms, Inc.), IBM Corporation, Microsoft Corporation, Salesforce.com, Inc., SAP SE, SAS Institute, Inc., Sportradar AG, Stats Perform, and Trumedia Networks.
Scope of the Study
Market Segments Covered in the Report:
By Component
- Software
- Services
By Game Type
- Football
- Cricket
- Basketball
- Tennis
- Baseball
- Others
By Application
- Game Planning
- Game Strategies
- Performance Improvement
- Injury Prevention Sports Recruitment
- Others
By Deployment Model
- On-premise
- Cloud
By Technology
- Machine Learning
- Computer Vision
- Data Analytics
- Natural Language Processing
- Others
By Country
- China
- Japan
- India
- South Korea
- Australia
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Catapult Group International Ltd.
- Facebook (Meta Platforms, Inc.)
- IBM Corporation
- Microsoft Corporation
- com, Inc.
- SAP SE
- SAS Institute, Inc.
- Sportradar AG
- Stats Perform
- Trumedia Networks
Unique Offerings from the publisher
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific Artificial Intelligence in Sports Market by Component
Chapter 5. Asia Pacific Artificial Intelligence in Sports Market by Game Type
Chapter 6. Asia Pacific Artificial Intelligence in Sports Market by Application
Chapter 7. Asia Pacific Artificial Intelligence in Sports Market by Deployment Model
Chapter 8. Asia Pacific Artificial Intelligence in Sports Market by Technology
Chapter 9. Asia Pacific Artificial Intelligence in Sports Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Catapult Group International Ltd.
- Facebook (Meta Platforms, Inc.)
- IBM Corporation
- Microsoft Corporation
- Salesforce.com, Inc.
- SAP SE
- SAS Institute, Inc.
- Sportradar AG
- Stats Perform
- Trumedia Networks
Methodology
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