Global Artificial Intelligence (AI) in Sports Market: Industry Analysis and Forecast (2020-2026) – By Deployment, Application, and Region.

Global Artificial Intelligence (AI) in Sports Market size was valued at US$ XX Bn in 2019 and the total revenue is expected to grow at 27.24% through 2020 to 2026, reaching nearly US$ XX Bn. The global Artificial Intelligence (AI) in Sports market report is a comprehensive analysis of the industry, market, and key players. The report has covered the market by demand and supply-side by segments. The global Artificial Intelligence (AI) in Sports report also provides trends by market segments, technology, and investment with a competitive landscape.

Overview of Artificial Intelligence (AI) in Sports:

AI has a tremendous impact on audience engagement, game strategy, and the way games are currently played. Data analytics and artificial intelligence are being used extensively in sports. Artificial intelligence (AI) in sports has become increasingly widespread in recent years, and given the great impact that precise technology has had on sports, there is no doubt that it is expected to thrive in this field.

Global Artificial Intelligence (AI) in Sports Market Dynamics:

The number of wearable devices in the sports business is growing as the demand for monitoring and tracking data of players grow. As a result, data on player performance and fitness characteristics such as heartbeat, speed, and acceleration are being generated in great detail. Artificial intelligence-assisted data analysis is being utilized to engage fans. Real-time insights gained from data analysis during match play assist teams in making tactical adjustments. The market is growing due to an increase in keen fan participation in sports activities around the world. The growing use of AI in sports such as cricket, football, basketball, tennis, and baseball is also boosting the industry's growth. AI platforms measure a forward pass, a penalty kick, LBW in cricket, and a variety of other comparable movements in many sports using wearable sensors and high-speed cameras. Coaches can use this information to better prepare their players for competition.

The New Experience in Match Viewing:

The COVID pandemic kept everyone on lockdown, but after a few months, sports were permitted to restart. At the same time, spectators were not permitted to enter the stadium, resulting in games being played and watched in empty stadiums. HearMeCheer, a Canadian sports start-up, came up with ways to enable athletes to listen to their fans' sound to make it feel less like an empty stadium for the players. This is an AI-powered virtual reality program that gathers ‘crowd noise' from at-home fans and feeds it inside the stadium during live games. In terms of match experience, AI-powered artificial crowd cheering and VR technology have fundamentally transformed sports. More individuals can attend the games live in the future than the stadium capacity allows.

The Development and Valuation of Players:

Sports data, such as football goals or cricket wickets, can only provide so much information about a person. Many data points, such as ball trajectories, shoots, and passes, may be captured using computer vision and IoT devices. IsoTechne, a platform developed by Seattle Science companies make use of this technology. It has the capability of deploying 20 or more cameras to capture player movements on a football field.

Global Artificial Intelligence (AI) in Sports Market Segmentation

Global Artificial Intelligence (AI) in Sports Market To know about the Research Methodology :- Request Free Sample Report Depending upon the application, artificial intelligence (AI) in the sports market is segmented into player analysis, fan engagement, data interpretation & analysis, and other applications. Fans are much more than simply customers these days. They want to interact with their favorite team members and teams in real-time and participate, analyze, criticize, fantasize, and connect with them. In this era of leagues, they're becoming actual brand partners. For the clubs, understanding and leveraging this new relationship is critical. Season ticket holders make up the largest portion of a club's revenue. By any metric, this has elevated these clients to the top of the priority list. However, to bring more fans to the stadium, clubs and ticket dealers are increasingly competing with the at-home experience. Fan preferences can be deduced using data and analytics. AI can assist teams in offering promotional coupons to specific fans through micro-segmentation.

Fan Engagement in Major Sports Events:

Events like the Olympics and the World Cup, which unite the country around a national team, usually result in high levels of fan participation. The same may be said for major sporting events such as the Super Bowl. However, pro teams are increasingly forced to create new methods to connect with fans during regular season play, in an interesting era where game attendance is down yet clubs don't need to fill seats to earn money. Fans now have a variety of services for watching games, checking scores, and keeping up with their favorite teams and players, whether it's on TV, online/social media, or through a mobile app. And, as a result of this digital change, sports brands have a big chance to use data to increase engagement and income. Global Artificial Intelligence (AI) in Sports Market

Global Artificial Intelligence (AI) in Sports Market Regional Insights:

Global Artificial Intelligence (AI) in SportsIn the 2019 sports market, North America had the highest revenue share of XX% for artificial intelligence. The regional market value is being driven by a high number of professional organizations in the region, as well as an increase in revenue from the North American sports business. The domestic league system in the North American region is one of the most active league systems in the world. At the university and league level, there is a significant social and economic investment in sports. The region's main economies, such as the United States and Canada, are the biggest revenue contributors. Because of favorable government initiatives to boost AI usage, this market is growing in the region.

Recent Launches:

March 2021 - The US India Artificial Intelligence (USIAI) program of the Indo-US Science and Technology Forum was launched. This partnership already benefited both countries greatly, and it is expected to continue to grow up in many different industries in the future, with Artificial Intelligence (AI) playing a vital role. July 2019 - STATS and Perform had formally combined, establishing the premier sports company in artificial intelligence (AI) and data, which is expected to be known as Stats Perform. Stats Perform is likely to give deeper, more robust data and insights to a growing portfolio of worldwide partners by leveraging the most advanced sports AI research and development. The objective of the report is to present a comprehensive analysis of Global Artificial Intelligence (AI) in Sports Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding the Global Artificial Intelligence (AI) in Sports Market dynamics, structure by analyzing the market segments and project the global Artificial Intelligence (AI) in Sports market size. Clear representation of competitive analysis of key players By Deployment, price, financial position, product portfolio, growth strategies, and regional presence in the Global Artificial Intelligence (AI) in Sports Market make the report investor’s guide.

Global Artificial Intelligence (AI) in Sports Market Scope: Inquire before buying

Global Artificial Intelligence (AI) in Sports Market

Global Artificial Intelligence (AI) in Sports Market, by Region

• North America • Europe • Asia Pacific • Middle East & Africa • South America

Global Artificial Intelligence (AI) in Sports Market Key Players

• 24/7.ai Inc. • Active.Ai • Advanced Micro Devices (AMD) Inc. • AIBrian Inc. • Amazon Inc. • Anodot, AOL Inc. • Apple Inc. • ARM Limited • Atmel Corporation • Baidu Inc. • Cisco Systems • DeepScale • Digital Reasoning Systems Inc. • Facebook Inc. • Fujitsu Ltd. • Gamaya • Other Key Players
1. Preface 1.1. Market Definition and Key Research Objectives 1.2. Research Highlights 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Artificial Intelligence (AI) in Sports Market Size, by Market Value (US$ Bn) 3.1. Global Market Segmentation 3.2. Global Market Segmentation Share Analysis, 2019 3.2.1. Global 3.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 3.3. Geographical Snapshot of the Artificial Intelligence (AI) in Sports Market 3.4. Geographical Snapshot of the Artificial Intelligence (AI) in Sports Market, By Manufacturer share 4. Global Artificial Intelligence (AI) in Sports Market Overview, 2019-2026 4.1. Market Dynamics 4.1.1. Drivers 4.1.1.1. Global 4.1.1.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.2. Restraints 4.1.2.1. Global 4.1.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.3. Opportunities 4.1.3.1. Global 4.1.3.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.4. Challenges 4.1.4.1. Global 4.1.4.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.5. Industry Trends and Emerging Technologies 4.1.6. Porters Five Forces Analysis 4.1.6.1. Threat of New Entrants 4.1.6.2. Bargaining Power of Buyers/Consumers 4.1.6.3. Bargaining Power of Suppliers 4.1.6.4. Threat of Substitute Products 4.1.6.5. Intensity of Competitive Rivalry 4.1.7. Value Chain Analysis 4.1.8. Technological Roadmap 4.1.9. Regulatory landscape 4.1.10. Impact of the Covid-19 Pandemic on the Global Artificial Intelligence (AI) in Sports Market 5. Supply Side and Demand Side Indicators 6. Global Artificial Intelligence (AI) in Sports Market Analysis and Forecast, 2019-2026 6.1. Global Artificial Intelligence (AI) in Sports Market Size & Y-o-Y Growth Analysis. 7. Global Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 7.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 7.1.1. On-Premises 7.1.2. Cloud 7.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 7.2.1. Player Analysis 7.2.2. Fan Engagement 7.2.3. Data Interpretation & Analysis 7.2.4. Other Applications 8. Global Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, By Region 8.1. Market Size (Value) Estimates & Forecast By Region, 2019-2026 8.1.1. North America 8.1.2. Europe 8.1.3. Asia-Pacific 8.1.4. Middle East & Africa 8.1.5. South America 9. North America Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 9.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 9.1.1. On-Premises 9.1.2. Cloud 9.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 9.2.1. Player Analysis 9.2.2. Fan Engagement 9.2.3. Data Interpretation & Analysis 9.2.4. Other Applications 10. North America Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, By Country 10.1. Market Size (Value) Estimates & Forecast By Country, 2019-2026 10.1.1. US 10.1.2. Canada 10.1.3. Mexico 11. U.S. Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 11.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 11.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 12. Canada Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 12.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 12.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 13. Mexico Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 13.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 13.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 14. Europe Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 14.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 14.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 15. Europe Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, By Country 15.1. Market Size (Value) Estimates & Forecast By Country, 2019-2026 15.1.1. U.K 15.1.2. France 15.1.3. Germany 15.1.4. Italy 15.1.5. Spain 15.1.6. Sweden 15.1.7. CIS Countries 15.1.8. Rest of Europe 16. U.K. Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 16.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 16.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 17. France Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 17.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 17.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 18. Germany Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 18.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 18.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 19. Italy Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 19.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 19.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 20. Spain Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 20.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 20.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 21. Sweden Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 21.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 21.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 22. CIS Countries Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 22.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 22.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 23. Rest of Europe Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 23.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 23.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 24. Asia Pacific Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 24.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 24.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 25. Asia Pacific Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, by Country 25.1. Market Size (Value) Estimates & Forecast By Country, 2019-2026 25.1.1. China 25.1.2. India 25.1.3. Japan 25.1.4. South Korea 25.1.5. Australia 25.1.6. ASEAN 25.1.7. Rest of Asia Pacific 26. China Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 26.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 26.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 27. India Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 27.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 27.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 28. Japan Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 28.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 28.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 29. South Korea Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 29.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 29.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 30. Australia Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 30.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 30.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 31. ASEAN Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 31.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 31.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 32. Rest of Asia Pacific Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 32.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 32.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 33. Middle East Africa Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 33.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 33.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 34. Middle East Africa Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, by Country 34.1. Market Size (Value) Estimates & Forecast by Country, 2019-2026 34.1.1. South Africa 34.1.2. GCC Countries 34.1.3. Egypt 34.1.4. Nigeria 34.1.5. Rest of ME&A 35. South Africa Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 35.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 35.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 36. GCC Countries Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 36.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 36.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 37. Egypt Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 37.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 37.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 38. Nigeria Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 38.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 38.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 39. Rest of ME&A Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 39.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 39.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 40. South America Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 40.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 40.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 41. South America Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, by Country 41.1. Market Size (Value) Estimates & Forecast by Country, 2019-2026 41.1.1. Brazil 41.1.2. Argentina 41.1.3. Rest of South America 42. Brazil Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 42.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 42.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 43. Argentina Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 43.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 43.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 44. Rest of South America Artificial Intelligence (AI) in Sports Market Analysis and Forecasts, 2019-2026 44.1. Market Size (Value) Estimates & Forecast By Deployment, 2019-2026 44.2. Market Size (Value) Estimates & Forecast By Application, 2019-2026 45. Competitive Landscape 45.1. Geographic Footprint of Major Players in the Global Artificial Intelligence (AI) in Sports Market 45.2. Competition Matrix 45.2.1. Competitive Benchmarking of Key Players By Price, Presence, Market Share, Applications and R&D Investment 45.2.2. New Product Launches and Product Enhancements 45.2.3. Market Consolidation 45.2.3.1. M&A by Regions, Investment and Verticals 45.2.3.2. M&A, Forward Integration and Backward Integration 45.2.3.3. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements 45.3. Company Profile : Key Players 45.3.1. ABB 45.3.1.1. Company Overview 45.3.1.2. Financial Overview 45.3.1.3. Geographic Footprint 45.3.1.4. Product Portfolio 45.3.1.5. Business Strategy 45.3.1.6. Recent Developments 45.3.2. 24/7.ai Inc. 45.3.3. Active.Ai 45.3.4. Advanced Micro Devices (AMD) Inc. 45.3.5. AIBrian Inc. 45.3.6. Amazon Inc. 45.3.7. Anodot, AOL Inc. 45.3.8. Apple Inc. 45.3.9. ARM Limited 45.3.10. Atmel Corporation 45.3.11. Baidu Inc. 45.3.12. Cisco Systems 45.3.13. DeepScale 45.3.14. Digital Reasoning Systems Inc. 45.3.15. Facebook Inc. 45.3.16. Fujitsu Ltd. 45.3.17. Gamaya 45.3.18. Other Key Players 46. Primary Key Insights

About This Report

Report ID108034
Category Information Technology & Telecommunication
Published DateJun 2021
Updated Date
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