Artificial Intelligence in Sports Market
Artificial Intelligence in Sports Market - Global Industry Assessment & Forecast
#
Pages:
147
2022
Apr - 2022
VMR-1478
Segments Covered
By
Component Software, Service
-
By
Deployment On-Premises, 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
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By
Game Type Football, Cricket, Tennis, Basketball, Baseball, Others
-
By
Region North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Snapshot
 Base Year:
|
2022 |
| Forecast
Years:
|
2023 - 2030 |
 Historical
Years:
|
2017 - 2021 |
 Revenue
2022: |
USD 2109.55 Million |
 Revenue 2030:
|
USD 16685.91 Million |
 Revenue CAGR
(2023 - 2030): |
29.50% |
Fastest Growing Region (2023 -
2030)
|
Asia Pacific |
Largest Region (2022):
|
North America |
Customization Offered
Cross-segment Market Size and
Analysis
for Mentioned Segments- Additional Company Profiles (Upto 5
With
No Cost)
- Additional Countries (Apart From Mentioned Countries)
- Country/Region-specific Report
- Go To Market Strategy
- Region Specific Market Dynamics
- Region Level Market Share
- Import Export Analysis
- Production Analysis
- Others Request
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Market Synopsis:
The Global Artificial Intelligence in Sports Market is valued at USD 2109.55 Million in the year 2022 and is projected to reach a value of USD 16685.91 Million by year 2030. The Global Market is expected to grow exhibiting Compound Annual Growth Rate (CAGR) of 29.50% over the forecast period.
Artificial Intelligence (AI) is mostly used in the sports business to track player performance and to improve the player's health by making injury-prevention recommendations. Furthermore, AI and machine learning are being used in a variety of sports industry applications to improve sports planning, ranging from chatbots to network vision concepts. In the sports sector, AI is used in a variety of ways, including computer vision, automated journalism, marketing, and wearable technologies.
Artificial Intelligence in Sports Market Size, 2022 To 2030 (USD Million)
With increased digitalization around the world, the adoption of technology in sports is gaining traction. Sports organizations and academies may use their data to better every aspect of their operations with the implementation of AI and machine learning applications in various sports. Predictive analytics can help make targeted decisions and strategic changes that affect every aspect of a sports organization, from player recruiting and performance to ticket sales. This technology is being used in a variety of sports to improve game patterns.
Market Segmentation:
The Artificial Intelligence in Sports Market is segmented on the basis of Component, Deployment, Technology, Application and Game type. On the basis of Component, the market is divided into Software and Service. On the Basis of Deployment, the market is divided into On-premise and Cloud. On the basis of Technology, the market is divided into Machine Learning, Natural Language Processing, Computer Vision, Data Analytics and Others. Based on Application, the market is divided as Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment and Others. Based on Game Type, the market is divided into: Football, Cricket, Tennis, Basketball, Baseball and Others.
Based on Component
On the basis of Component, the market is divided into Software and Service. The software segment held the largest market share in 2021, accounting for nearly three-fourths of the Global Artificial Intelligence in Sports industry, and is expected to maintain its revenue lead throughout the forecast period. This is due to the widespread use of AI and advanced machine learning algorithms to mine massive amounts of data for meaningful insights and better-informed decisions. However, the services segment is expected to grow at the fastest rate, owing to increased demand for software-as-a-service (SaaS) for numerous benefits such as scalability and one-time customer acquisition cost.
Below tree is interactive. You can click the nodes to get more information.
Based on Application
Based on Application, the market is divided as Game Planning, Game Strategies, Performance Improvement, Injury Prevention Sports Recruitment and Others. Artificial Intelligence (AI) is mostly used in the sports business to track player performance and to improve the player's health by making injury-prevention recommendations. Furthermore, AI and machine learning are used in a variety of applications, ranging from chatbots to network vision concepts.
North America is expected to acquire the largest market share during the year 2021
North America has the highest revenue share (42.50%) for artificial intelligence in the 2021 sports industry. The regional market value is being pushed up by a high number of professional organizations in the region, as well as an increase in revenue from the North American sports business. It has one of the most vibrant domestic league systems in the world. Sports receive significant social and economic investment at the university and league levels. The region's main economies, such as the United States and Canada, are the major revenue contributors. Due to favorable government initiatives to boost AI usage, this market is growing in the region. Furthermore, one of the primary elements supporting the regional market value is the increased rate of technology use. Furthermore, the changing market environment and higher technology adoption rates across the region are increasing the adoption of Artificial Intelligence in Sports across North America. Several ice hockey clubs have recently begun to invest in analytics, while American Football continues to be a powerful market.
Competitive Landscape:
Key players operating in the global In-Dash Navigation System Market include SAS Institute Inc., Opta Sports (Perform Group), Sportsradar AG, Catapult Group International Ltd, IBM Corporation, SAP SE, Trumedia Networks, Salesforce.com Inc. (Tableau Software Inc.).
Segmentation of Global Artificial Intelligence in Sports Market:
| Parameter | Details |
|---|---|
| Segments Covered |
|
| Regions & Countries Covered |
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| Companies Covered |
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| Report Coverage | Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, technology landscape, patent analysis, market attractiveness analysis by segments and North America, company market share analysis, and COVID-19 impact analysis |
FAQ
Frequently Asked Question
What is the global demand for Artificial Intelligence in Sports in terms of revenue?
-
The global Artificial Intelligence in Sports valued at USD 2109.55 Million in 2022 and is expected to reach USD 16685.91 Million in 2030 growing at a CAGR of 29.50%.
Which are the prominent players in the market?
-
The prominent players in the market are SAS Institute Inc., Opta Sports (Perform Group), Sportsradar AG, Catapult Group International Ltd, IBM Corporation, SAP SE, Trumedia Networks, Salesforce.com Inc. (Tableau Software Inc.).
At what CAGR is the market projected to grow within the forecast period?
-
The market is project to grow at a CAGR of 29.50% between 2023 and 2030.
What are the driving factors fueling the growth of the market.
-
The driving factors of the Artificial Intelligence in Sports include
- Growing Demand for Real Time Data Analytics
Which region accounted for the largest share in the market?
-
North America was the leading regional segment of the Artificial Intelligence in Sports in 2022.
