Artificial Intelligence (AI) in Sports Market to Reach $1.9B USD with 32.7% CAGR by 2024

According to Global Artificial Intelligence (AI) in Sports Market report, AI Sports Decisions as a Service will reach $987M USD by 2024 growing at CAGR 53.1%. Global AI-enabled Sports Analytics will reach $1.9B USD by 2024 growing at CAGR of 32.7%.

Artificial Intelligence (AI) in Sports Market: AI in Sports by Technology, Sports Level (Olympic, Professional, College), Sports Type, User Type (Owner, Coach, Player, Spectator), Use Case, Deployment, Region and Country 2019 – 2024 provides an assessment of the technologies, companies, strategies and solutions involved in leveraging artificial intelligence in sports market. The report analyzes AI in sports market by sports level, type of sport, user type, and deployment options. The report provides AI in sports market sizing for the aforementioned as well as forecast for Artificial Intelligence (AI) in sports market by region and country from 2019 to 2024. It is important to note that certain countries focus on very specific sports, so AI in sports will vary significantly on a country by country basis and not just by comparative population or per capita GDP.

Improving the overall efficiency and effectiveness of teams and individual athletes a big implications as sports related activities and events have become a major industry in the last few decades. Professional sports in particular has become a big business with the asset value of major teams at well over $1 billion each and generating triple digit millions in revenue annually. For example, the New England Patriots (American) football team is valued at roughly $3.8 billion, and generates over $500 million in total revenue annually. With about $103 million in revenue due to gate receipts, it is clear that a large portion of professional sports teams rely on non-venue related revenue including sponsorship, media rights, and merchandising. With level of financials involved for a given organization, AI in sports market is a meaningful investment for most team owners.

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Following are the Key Findings in Global Artificial Intelligence (AI) in Sports Market report: AI Sports Decisions as a Service will reach $987M USD by 2024 growing at CAGR 53.1%. Global AI-enabled Sports Analytics will reach $1.9B USD by 2024 growing at CAGR of 32.7%. One of the fastest Growing Areas for AI in College Sports is creating Strategies for Targeted Donations. AI in Sports Merchandising will Improve Revenue up to 22% for certain items such as Custom Apparel and Signage. Leading Sports Franchises and Media Properties will Spend 7% and 11% of Operations Budgets respectively on AI enabled Solutions by 2024. AI improves the value of cross-training by team role/position between 9 and 32 percent. Up to 65% of long-term cognitive dysfunction due to concussions is preventable through use of AI. AI in sports will improve individual and team performance by average of 17% and 28% respectively. Top benefits of AI in sports include performance improvement, injury prevention, and recruitment. AI will improve revenue, reduce operational costs, and improve valuations of professional sports teams.

Report Benefits of Global Artificial Intelligence (AI) in Sports Market: Only report of its type focusing on AI in sports market; Understand how AI in sports will improve sports operations; Identify opportunities and challenges of implementing AI in sports; Understand how AI in sports relies upon other supporting technologies. Target Audience covered in this report are: Data analytics companies, Artificial intelligence Companies, Sports teams of all types and levels, Sovereign nations and sporting investors.

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Some of the key players evaluated during the study includes; 24/ 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., Directly, Facebook Inc., Fujitsu Ltd., Gamaya, Gemalto N.V., General Electric (GE), General Vision Inc., Google Inc., Graphcore,, Haier Group Corporation, Haptik, Hewlett Packard Enterprise (HPE), Huawei Technologies Co. Ltd., IBM Corporation, Imagen Technologies, Inbenta Technologies Inc., Intel Corporation, InteliWISE, IPsoft Inc., iRobot Corp., Juniper Networks, Inc., Koninklijke Philips N.V, Kreditech, KUKA AG, Leap Motion Inc., LG Electronics, Lockheed Martin, MAANA, Micron Technology, Microsoft Corporation, MicroStrategy Incorporated, Miele, Motion Controls Robotics Inc.,, Neurala, NewtonX, Next IT Corporation, Nokia Corporation, Nuance Communications Inc., OccamzRazor, Omron Adept Technology, Onfido, Oracle Corporation, Panasonic Corporation, Petuum, PointGrab Ltd., QlikTech International AB, Qualcomm Incorporated, Rethink Robotics, Rockwell Automation Inc., Salesforce, Samsung Electronics Co Ltd., SAP, SAS Institute Inc., Sentient Technologies Holdings Limited, Siemens AG, Signal Media, SoftBank Robotics Holding Corp., SparkCognition Inc., Spatial,, Tellmeplus,, Tesla Inc., Texas Instruments Inc., Textio, Umbo Computer Vision, Veros Systems Inc., vPhrase, Wade & Wendy, Wind River Systems Inc.,, Xiaomi Technology Co. Ltd., XILINX Inc. and Yanu

Table of Contents includes
1 Executive Summary
2 Introduction
3 AI in Sports and Related Technologies
4 AI Applications
5 AI in Sports by Level
6 AI in Sports by Type
7 AI in Sports Operations
8 AI in Sports Spectatorship
9 AI Company Analysis
10 AI in Sports Market Analysis and Forecasts 2019 – 2024
11 Summary and Recommendations
12 Appendix: AI Technologies and Solutions

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List of Tables and Figures:
Table 1 Global AI in Sports Revenue by Technology 2019 – 2024
Table 2 Global AI in Sports Revenue by Machine Learning 2019 – 2024
Table 3 Global AI in Sports Revenue by Data Analytics 2019 – 2024
Table 4 Global AI in Sports Revenue by Natural Language Processing 2019 – 2024
Table 5 Global AI in Sports Revenue by Cognitive Computing 2019 – 2024
Figure 1 AI in Sports
Figure 2 Specific AI in Sports Solutions
Figure 3 AI in Sports Use Cases
Figure 4 AI in Sports User Types
Figure 5 AI in Sports Deployment Models
Figure 6 AI in Sports Business Case
Figure 7 AI in Sports Investment
Figure 8 AI and IoT – AIoT in Sports
Figure 9 Future of AI in Sports
and more.

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