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市場調查報告書

全球運動分析市場佔有率,策略,預測:2017年∼2023年

Sports Analytics Market Shares, Strategies, and Forecasts, Worldwide, 2017-2023

出版商 WinterGreen Research, Inc. 商品編碼 330952
出版日期 內容資訊 英文 557 Pages
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全球運動分析市場佔有率,策略,預測:2017年∼2023年 Sports Analytics Market Shares, Strategies, and Forecasts, Worldwide, 2017-2023
出版日期: 2017年09月05日 內容資訊: 英文 557 Pages
簡介

運動分析市場,預計從2016年的7億6430萬美元,到2023年擴大到155億美元。

本報告提供全球運動分析市場相關調查分析,市場概要與市場動態,市場佔有率與市場預測,產品概要,技術,主要企業等系統性資訊。

摘要整理

第1章 運動分析市場概要與市場動態

  • 所有團隊的資料處理
  • 吸引愛好者層的運動分析
  • 隊伍運動分析
  • 曲棍球分析
  • 足球運動分析
  • NFL足球分析
  • 媒體運動分析
  • 賽車統計、分析
  • NBA
  • MLB
  • 籃球隊
  • NHL
  • 職業高爾夫球手
  • 負載自行車旅行
  • 運動資料的視覺化
  • 運動隊擁有

第2章 運動分析市場佔有率與市場預測

  • 運動分析市場的推動要素
  • 運動分析市場佔有率
  • 運動分析市場預測
  • 青年運動分析市場趨勢
  • 運動分析通行證價格
  • 運動分析地區分別分析

第3章 運動分析產品概要

  • Sportradar AG
  • STATS
  • Perform / OptaPro
  • TruMedia Networks Sports Analytics
  • SMT / Sportvision
  • Sports Vision Technologies P3ProSwing Professional Golfers
  • Cognitive Computing Real Time Sports Analytics
  • Pro Football Focus
  • IBM Watson Cognitive IoT Sports Analytics
  • 82games
  • Catapult
  • Real Sports Analytics
  • Sports Business Intelligence
  • SAS
  • SAP
  • Hawk-eye
  • QSTC
  • Synergy Sports
  • Competitive Sports Analysis
  • Oracle
  • Google Analytics
  • Second Spectrum
  • Zebra
  • Kinduct Athlete Management System

第4章 運動分析技術

第5章 運動分析企業簡介

  • Advanced Sports Analytics
  • Analytics Educational
  • Associated Press
  • Bodybuilding.com
  • Bulz
  • Catapult
  • CBS Sports Analytics
  • Competitive Sports Analysis
  • Formula One
  • Fox
  • Google Analytics
  • Kinduct Athlete Management System
  • Major League Baseball (MLB) Teams
  • Motor Sports Analytics
  • National Football League (NFL)
  • Nike+
  • Oracle
  • Perform / Opta Pro
  • QSTC
  • Ramp Holdings
  • Second Spectrum
  • SmartSports
  • Sports Analytics Institute
  • Sportradar AG
  • Sports Media Technology (SMT) / Sportvision
  • Sports Vision Technologies
  • Statistical Sports Consulting
  • Synergy Sports
  • Vista Equity Partners
  • TruMedia Networks
  • Zebra Technologies Sports Solutions
  • Sports Analytics Companies

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目錄
Product Code: SH27161963

Worldwide sports analytics markets are poised to achieve significant growth as the coaches and players leverage information collected from sensors. Teams can realize significant competitive advantage by utilizing analytics capability effectively. All teams use analytics.

Tablets and smart phone communications systems make training information more cogent and more available, remaking all sport management everywhere. Video capability has been extended with analytics that provide automated capture of noteworthy player and team play events. Information services leverage automated process to make analytics more useful for fan sports enjoyment enhancement and to provide more useful information for fantasy players.

The value of sports analytics relates to the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. All teams use analytics, some are more able to integrate analytics into the decision-making process in a way that wins games. Real time information is a world of its own, some teams and players are able to integrate real time information.

The gamblers are prevented from gaming the analytics systems. Fraud is more easily detected and prevented.

Fantasy sports players use the analytics systems. Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate players competitive capability. Using the system, the agent gains competitive advantage with teams when they present analysis about the players they represent

Sports analytics has become the model for predictive sports business decision making. The sports business has been reorganized among teams, inspired by sports analytics. Analytics are finding innovative use in sports, leading to models for organizing and managing teams.

Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal.

In hockey, analytics has been adopted big time, the trend this summer of 2015 has been for NHL clubs to hire bloggers and website operators so their content is proprietary. Shift charts represent an image of changing data. In the chart above, the numbers along the top represent the shifts played during the game. The black lines represent goals scored and show what line was on the ice offensively and defensively for each goal scored in each period, period one, period two, and period three.

Sports analytics are about patterns, detecting patterns and attaching value to them by being able to predict better what players will succeed and what players will do well in a certain system. The patterns apply to teams, to players and to fans.

The data about the sport is relevant in a lot of different ways, some teams are more able than others to harness the patterns to their benefit. Does it make a difference? Do the teams with better analytics win? Apparently so. The MIT sports analytics conference is a testament to the value of technology in sports.

Play of the Game is what makes sports entertainment, and the players entertainers. Hockey is a particularly appealing sport because it has so much player contact. It is a contact sport. Some of the better plyers play with finesse. Ovechkin for example, who had 27 even-strength goals this season (fifth in the league) and who scored a league-leading 24 power play goals is fun to watch. He is a premier player because of style and this makes him a fan favorite.

According to Susan Eustis, principal author of the market research study, “Sports teams have discovered that with intelligent use of sports analytics they can dominate a league. As the early adopters prove that analytics make the difference between winning and losing, all teams, mangers, and fantasy sports players have adopted use of the solutions creating market growth opportunities.”

Sports analytics market size at $764.3 million in 2016 is anticipated to reach $15.5 billion by 2023. Significant growth is driven by the ability to improve coaching, provide players with specific strategies for improving performance, preventing fraud in wagering situations, and leveraging smart phone and social media to process information about performance improvement. Fans thrive on having more information about a game they are watching. Mega data center cloud computing market penetration is building a base for process improvemenets. With smart phones and tablets beginning to get significant uptake all over the world sports analytics play into that market expansion.

Table of Contents

Sports Analytics Executive Summary

  • Sports Analytics Market Driving Forces
    • Football Challenged By Deleterious Effects Of Concussions
    • Games and Training Produce Sample Of Data To Analyze
    • Sports Analytics Organizational Market Driving Forces
      • Play of the Game
      • NHL Shift Charts
    • Sports Analytics Market Shares
    • Sports Analytics Market Forecasts

1. Sports Analytics Market Description and Market Dynamics

  • 1.1. All Teams Crunch Numbers
  • 1.2. Sports Analytics That Appeal to the Fan Base
    • 1.2.1. Hockey Analyses Take Into Account Situations (Even-Strength, Power Play, Shorthanded)
    • 1.2.2. Analytics Change the Outcome of the Games
    • 1.2.3. Seriously Flawed Sports Analytics
  • 1.3. Team Sports Analytics
    • 1.3.1. Red Sox Sports Analytics Information Services
    • 1.3.2. Red Sox Win the World Series Three Times
    • 1.3.3. Red Sox Value Patient Hitters
    • 1.3.4. New York Yankees
    • 1.3.5. Moneyball Is Alive And Well in Oakland
    • 1.3.6. Oakland A's General Manager Billy Beane Moneyball
    • 1.3.7. MLB Tampa Bay Rays
  • 1.4. Hockey Analytics
  • 1.5. Soccer Sports Analytics
    • 1.5.1. Liverpool And The Director Of Football
    • 1.5.2. Global Football Has Fundamental Shift Going On
  • 1.6. NFL Football Analytics
  • 1.7. Media Sports Analytics
  • 1.8. Auto Racing Stats and Analytics
  • 1.9. National Basketball Association NBA Champion Golden State Warriors
    • 1.9.1. NBA Corner Shot For Three Points
    • 1.9.2. Resting Aging Stars For Deep Playoff Runs
    • 1.9.3. NBA Team Investment in Analytics
    • 1.9.4. Defensive Shifts In Baseball vs. Defensive Shifts in Hockey
  • 1.10. MLB Tampa Bay Rays
  • 1.11. Dallas Mavericks Basketball Team
  • 1.12. NHL Hockey Los Angeles LA Kings
  • 1.13. Professional Golfers
  • 1.14. Road Cycling
  • 1.15. Sports Data Visualization
    • 1.15.1. Data Visualization
    • 1.15.2. Sports Analytics for Fans
  • 1.16. Sports Team Ownership

2. Sports Analytics Market Shares and Market Forecasts 90

  • 2.1. Sports Analytics Market Driving Forces
    • 2.1.1. Football Challenged By Deleterious Effects Of Concussions
    • 2.1.2. Games and Training Produce Sample Of Data To Analyze
    • 2.1.2. Sports Analytics Organizational Market Driving Forces
    • 2.1.3. Play of the Game
    • 2.1.4. NHL Shift Charts
  • 2.2. Sports Analytics Market Shares
    • 2.2.1. Companies and Media Focused on Sports Analytics
    • 2.2.2. Sportradar
    • 2.2.3. Sportradar Supports Bookmakers
    • 2.1.3. Michael Jordan and Mark Cuban Are Betting That Sportradar Will Triumph 119
    • 2.2.4. Stats Lost the NFL Deal to Sportradar
    • 2.2.5. Losing the NFL, Stats Focuses On Player-Tracking, Fantasy
    • 2.2.6. Stats Fantasy
    • 2.2.7. Stats / Prozone Describes Performance
    • 2.2.8. Perform / Opta
    • 2.2.9. Perform / OptaPro Portal
    • 2.2.10. TruMedia
    • 2.2.11. Catapult Team
    • 2.2.12. Catapult: National Hockey League NHL
    • 2.2.13. Catapult Total Revenue
    • 2.2.14. Sportvision
    • 2.2.15. Fox NFL Predictions
    • 2.2.16. Synergy Basketball Designed for Coaches By Coaches
    • 2.1.4. Sports Analytics Market Segments, High End, Mid Range, and Low End 126
  • 2.3. Sports Analytics Market Forecasts
    • 2.3.1. Sports Analytics Market Shares, Units, Worldwide, 2016
    • 2.3.2. Sports Analytics Market Segments
    • 2.3.3. Personal Analytics
    • 2.3.4. Player Performance
    • 2.3.5. Revenue by Sports League
    • 2.3.6. Fantasy Sports: A $1.7B Industry By 2017
    • 2.3.7. Sports Analytics Branding
    • 2.3.8. Sports Analytics Betting Tools
  • 2.4. Youth Sports Analytics Market Trends
    • 2.4.1. Data Center Fabric, The Next-Generation Facebook Data Center Network 156
    • 2.4.2. AWS Improving Continuity Replication Between Regions
    • 2.4.3. Amazon AWS Step Functions Software
    • 2.4.4. AWS Network Scale
    • 2.4.5. Youth Team Sports Software Analytics
    • 2.4.6. Video Analytics Are Key To Growth On Youth Team Sports Market
    • 2.4.7. Youth Sports Development Programs
    • 2.4.8. Youth Team Sports Software Company Acquisitions
    • 2.4.9. Protecting the Money Collected for a Youth Sports League
    • 2.4.10. Team Sports Financial Reporting
    • 2.4.11. Youth Team, League, and Tournament Sports Software Number Employees vs. Revenue Analysis, Number Employees, Dollars per Employee
  • 2.5. Sports Analytics Pass Pricing
    • 2.5.1. Stats Sports Analytics Pass Pricing
    • 2.5.2. Sportradar AG Regular Season Pricing
  • 2.6. Sports Analytics Regional Market Analysis
    • 2.6.1. US
    • 2.6.2. China

3. Sports Analytics Product Description

  • 3.1. Sportradar AG
    • 3.1.1. Sportradar US Subsidiary
    • 3.1.2. Sportradar Partnership with German Football Association
    • 3.1.3. Sportradar Fraud Prevention Service (FPS)
    • 3.1.4. Organized Crime And Match-Fixing Have A Detrimental Effect On Sport 177
    • 3.1.5. Sportradar Official Data Collector / Distributor Of NBA
    • 3.1.6. Sportradar Million-Dollar NBA Deal
    • 3.1.7. Sportradar OTT platform
  • 3.2. STATS
    • 3.2.1. Stats Focus On Player-Tracking, Fantasy
    • 3.2.2. Stats Focus On Player-Tracking, Fantasy
    • 3.2.3. Stats Attract And Engage Sports Fans With Stats Solutions
    • 3.2.4. STATS Fantasy Baseball
    • 3.2.5. Stats Fantasy Sports
    • 3.2.6. Stats Fantasy Games
    • 3.2.7. Stats Pick / Predictor Fantasy
    • 3.2.8. Stats Salary Cap Fantasy
    • 3.2.9. Stats Leagure Stype Fantasy
    • 3.2.10. Stats Commissioner Fantasy
    • 3.2.11. Stats Bracket Fantasy
    • 3.2.12. Stats Brand Activation and Custom Development
    • 3.2.13. Stats' SportVU Technology
    • 3.2.14. Stats ICE - Basketball Operations Solutions
    • 3.2.15. Stats' Sports Solutions Group
    • 3.2.16. Stats Player Tracking
    • 3.2.17. Stats Player Tracking Metrics
    • 3.2.18. STATS MatchCast
    • 3.2.19. Stats Prozone
    • 3.2.20. Prozone World Cup 2014
    • 3.2.21. Stats Historical Sports Data
    • 3.2.22. Stats Prozone Data, Information, Insights.
    • 3.2.23. Prozone Describes Performance
    • 3.2.24. Prozone Opposition Scouting
    • 3.2.25. Prozone Team Analysis
    • 3.2.26. Prozone Physiological Monitoring
    • 3.2.27. Prozone Player Recruitment
    • 3.2.28. Stats Global Network
    • 3.2.29. Stats Strategic Support
    • 3.2.30. Stats Case Studies
    • 3.2.31. Stats Football
    • 3.2.32. Stats Rugby Union
    • 3.2.33. Stats Rugby League
  • 3.3. Perform / OptaPro
    • 3.3.1. OptaPro VideoHub Elite
    • 3.3.2. Opta VideoHub Elite Data-Led Video Analysis
    • 3.3.3. OptaPro VideoHub Elite Competitions Covered
    • 3.3.4. OptaPro Portal
    • 3.3.5. Opta
    • 3.3.6. Opta Sports Data
    • 3.3.7. Opta Sportsbook Predictive Analytics & Data Modelling
    • 3.3.8. Opta Analytics In Action
  • 3.4. TruMedia Networks Sports Analytics
    • 3.4.1. TruMedia's MLB Analytics Platform
    • 3.4.2. TruMedia MiLB Minor League Analytics
    • 3.4.3. TruMedia Soccer Analytics
    • 3.4.4. TruMedia Crossing Pattern Football Analytics Platform / ESPN
  • 3.5. SMT / Sportvision
    • 3.5.1. SMT Sportvision
    • 3.5.2. Sportvision Motorsports, Golf, and Hockey Products
    • 3.5.3. Sportvision Baseball
    • 3.5.4. SMT Development Deals with NBA, NHL, PGA Tour
    • 3.5.5. Sportvision Motorsports Driving Innovation
    • 3.5.6. ESPN Commits to Sportvision K-Zone Live on Every Pitch for MLB Coverage 264
    • 3.5.7. SmartSports, Boston-Based Parent Company of SmartKage, and Sportvision 265
    • 3.5.8. NHL, Sportvision Progress in Chip-Based Player Tracking
    • 3.5.9. NHL Website Advanced Statistics
  • 3.6. Sports Vision Technologies P3ProSwing Professional Golfers
  • 3.7. Cognitive Computing Real Time Sports Analytics
  • 3.8. Pro Football Focus
    • 3.8.1. SportVU Football Solutions
  • 3.9. IBM Watson Cognitive IoT Sports Analytics
    • 3.9.1. IBM Golf TryTracker
    • 3.9.2. IBM Grand Slam Tennis
  • 3.10. 82games
  • 3.11. Catapult
    • 3.11.1. Catapult Team Customer Base
    • 3.11.2. Catapult Monitoring Elite Athletes
  • 3.12. Real Sports Analytics
    • 3.12.1. Real Sports Analytics Player Performance Scorecards
  • 3.13. Sports Business Intelligence
  • 3.14. SAS
    • 3.14.1. SAS Sports Analytics
    • 3.14.2. SAS Customer Intelligence Analytics
  • 3.15. SAP
  • 3.16. Hawk-eye
  • 3.17. QSTC
  • 3.18. Synergy Sports
  • 3.19. CSA - Competitive Sports Analysis
  • 3.20. Oracle
  • 3.21. Google Analytics
    • 3.21.1. Google Analytics Used In Loyalty Program
  • 3.22. Second Spectrum
    • 3.22.1. Second Spectrum Video
    • 3.22.2. Second Spectrum Reports
    • 3.22.3. Second Spectrum Insights
    • 3.22.4. Second Spectrum Tracking
  • 3.23. Zebra
    • 3.23.1. Zebra Athlete Performance Tracking
    • 3.23.2. Zebra Sports Coaching and Training
    • 3.23.3. Zebra Sports Fan Enhancement
    • 3.23.4. Zebra Sports NFL Partnership Kinduct Athlete Management System
  • 3.24. Kinduct Athlete Management System

4. Sports Analytics Technology

  • 4.1. Sports Analytics Technology and Elite Player Performance
    • 4.1.1. Legislation: UEFA's Financial Fair Play (FFP), Premier League's Elite Player Performance Plan (EPPP)
    • 4.1.2. UEFA's Financial Fair Play (FFP)
    • 4.1.3. Elite Player Performance Plan (EPPP)
    • 4.1.4. Elite Player Performance Plan (EPPP) Focus on Youth Development
  • 4.2. Major League Baseball MLB Analytics
  • 4.3. US National Football League NFL
  • 4.4. John Henry Owner of Boston Red Sox Uses Sports Analytics to Win World Series 332
  • 4.5. Stats Technology
    • 4.5.1. STATSports MAPPS (Multiple Augmented Performance Positional System) Technology
    • 4.5.2. Apex Indoor Positioning
    • 4.5.3. Stats Data Center Technology
    • 4.5.4. STATS Servers
    • 4.5.5. STATS RESTful API
    • 4.5.6. Stats Interactive
  • 4.6. Sports Analytics Dynamic Architecture
    • 4.6.1. Google Search Engine Dynamic Architecture
    • 4.6.2. BigFiles
    • 4.6.3. Repository
    • 4.6.4. Microsoft .Net Defines Reusable Modules Dynamically
    • 4.6.5. Microsoft Combines Managed Modules into Assemblies
    • 4.6.6. Microsoft Architecture Dynamic Modular Processing
    • 4.6.7. IBM SOA Architecture is Dynamic for the Transport Layer
  • 4.7. IBM WebSphere MQ Dynamic Architecture is Base for SOA
  • 4.8. IBM Software Enterprise Service Bus
    • 4.8.1. IBM ESB and SOA
  • 4.9. Data Center Fabric, The Next-Generation Facebook Data Center Network
    • 4.9.1. Cloud 2.0 Mega Data Centers
  • 4.10. Electromagnetic 12 Sensor 6 DOF Golf System
    • 4.10.1. Golf Electromagnetic Flexible Screen
    • 4.10.2. Experts Can Note Needed Improvements, Create Database Of A Person's Own Swings
  • 4.11. Motion Measurement Analysis Functions

5. Sports Analytics Company Profiles

  • 5.1. Advanced Sports Analytics
  • 5.2. Analytics Educational
  • 5.3. Associated Press
    • 5.3.1. AP Positioning
    • 5.3.2. Associated Press Not-For-Profit Cooperative
  • 5.4. Bodybuilding.com
  • 5.5. Bulz
  • 5.6. Catapult: NHL Technology Reduces Injuries
    • 5.6.1. Catapult Sports GPS Sports Data In Demand
    • 5.6.2. Catapult Focused on US College Sports System
    • 5.6.3. Catapult Data Collection
    • 5.6.4. Catapult Regional Revenue
    • 5.6.5. Catapult Player Tracking in Australian Rules Football
    • 5.6.6. Catapult Hockey Player Tracking
    • 5.6.7. Catapult Device
    • 5.6.8. Catapult in the NFL
    • 5.6.9. Catapult Can Help Trainers Understand How Much Stress Of The Game 394
    • 5.6.10. Catapult Measuring Intense Play
    • 5.6.11. Big Wave Surfers Use Catapult to Ready for Event
  • 5.7. CBS Sports Analytics
    • 5.7.1. St. Louis Blues Coach Ken Hitchcock Uses Analytics To Help Make Better Line Combinations
    • 5.7.2. NHL Shot Location Data
  • 5.8. Competitive Sports Analysis
  • 5.9. Formula One
  • 5.10. Fox What If Embraces Technology as It Redefines Sports Competition
    • 5.10.1. Fox What If Sports Simulations
    • 5.10.2. Fox Sports Analytics
    • 5.10.3. STATS LLC Global Sports Statistics
    • 5.10.4. Stats Quarterbacks
    • 5.10.5. Stats Running Backs
    • 5.10.6. Stats Tackle
    • 5.10.7. FoxSports.com
    • 5.10.8. Foxsports.com / Whatifsports.com
    • 5.10.9. FoxSports.com WhatIfSports.com: Positioned As Sports Simulation Destination
    • 5.10.10. Foxsports NFL Prediction Widgets
    • 5.10.11. Foxsports CFB Predictions
    • 5.10.12. Foxsports SimMatchup
    • 5.10.13. Foxsports MLB Power Rankings
  • 5.11. Google Analytics
    • 5.11.1. Google Analytics Used In Loyalty Program
  • 5.12. Kinduct Athlete Management System
  • 5.13. Major League Baseball (MLB) Teams
    • 5.13.1. MLB.com Digital Academy Instructional Center
    • 5.13.2. MLB Coaches Corner
    • 5.13.3. Youth Baseball Leagues
    • 5.13.4. MLB my Hits®
    • 5.13.5. MLB myPitch
    • 5.13.6. Baseball Swing Analysis
    • 5.13.7. MLB myHits 6 Key Hitting Stages
    • 5.13.8. MLB League Tools and Services
  • 5.14. Motor Sports Analytics
  • 5.15. National Football League (NFL)
    • 5.15.1. AFC-North
    • 5.15.2. AFC-South
    • 5.15.3. AFC-East
    • 5.15.4. AFC-West
    • 5.15.5. NFC-North
    • 5.15.6. NFC-South
    • 5.15.7. NFC-East
    • 5.15.8. NFC-West
    • 5.15.9. NFL Stats
  • 5.16. Nike+
    • 5.16.1. Nike Personal Analytics
  • 5.17. Oracle
  • 5.18. Perform / Opta Pro
    • 5.18.1. Perform Group Revenue
    • 5.18.2. Opta
    • 5.18.3. Opta Partner Clients
    • 5.18.4. Opta Partners for Betting
    • 5.18.5. Opta Partners for Broadcast
    • 5.18.6. Opta Partners for Online and Mobil
    • 5.18.7. Opta Partners for Print
    • 5.18.8. Perform Revenue
    • 5.18.9. Perform Acquires Opta
  • 5.19. QSTC
  • 5.20. Ramp Holdings
    • 5.20.1. RAMP Holdings ROI
    • 5.20.2. RAMP Holdings Capital Investment and Revenue
    • 5.20.3. RAMP Holdings Partners
  • 5.21. Second Spectrum
  • 5.22. SmartSports
    • 5.22.1. SmartSports / Sportvision
    • 5.22.2. Sportvision
    • 5.22.3. MLS Teams Seek Edge With Player-Tracking Technology
  • 5.23. Sports Analytics Institute
    • 5.23.1. Sports Analytics Institute Player Evaluation System
    • 5.23.2. Sports Analytics Institute Growing an Organization's Sports Analytics Competency 486
    • 5.23.3. Sports Analytics Institute: Hockey
  • 5.24. Sportradar AG
  • 5.25. Sports Media Technology (SMT) / Sportvision
    • 5.25.1. SMT's Credentials
  • 5.26. Sports Vision Technologies
  • 5.27. Statistical Sports Consulting
  • 5.28. Synergy Sports
    • 5.28.1. Synergy Basketball Designed for Coaches By Coaches
    • 5.28.2. Synergy Changes The Game
  • 5.29. Vista Equity Partners
    • 5.29.1. Vista Equity Partners STATS
    • 5.29.2. Stats
    • 5.29.3. Stats Was Part of News Corporation (the parent of FOXSports.com) and the Associated Press
    • 5.29.4. Stats Companies
    • 5.29.5. Stats Customers
    • 5.29.6. STATS / Prozone
    • 5.29.7. Prozone Software Tracks In-Game Player Performance
    • 5.29.8. Stats Revenue
    • 5.29.9. Stats Locations Worldwide
    • 5.29.10. STATS Sports Public Relations
    • 5.29.11. STATS Data And Content Company
    • 5.29.12. Stats Data Centers
    • 5.29.13. Stats Acquisitions
    • 5.29.14. STATS / Sportz Interactive
    • 5.29.15. STATS Projections for Daily Fantasy Sports
    • 5.29.16. Vista Equity Partners And STATS Acquire Automated Insights
    • 5.29.17. STATS Acquires The Sports Network
    • 5.29.18. STATS Acquires TVTI
    • 5.29.19. STATS Acquires Bloomberg Sports
    • 5.29.20. STATS / Automated Insights
  • 5.30. TruMedia Networks
    • 5.30.1. Tony Khan Acquires Sports Analytics Firm TruMedia Networks
    • 5.30.2. TruMedia Networks / Detroit Tigers Long Term Licensing Agreement 518
    • 5.30.3. TruMedia Partners with Harvard Sports Analysis Collective
    • 5.30.4. Jacksonville Jaguars Executive Tony Khan makes Strategic Investment in TruMedia Networks
    • 5.30.5. TruMedia Networks Baseball Analytics Site In Partnership With Journalist Peter Gammons
    • 5.30.6. TruMedia Networks and ESPN Power NFL Crossing Pattern Analytics Product 523
  • 5.31. Zebra Technologies Sports Solutions
    • 5.31.1. Zebra / NFL Partnership
  • 5.32. Sports Analytics Companies
    • 5.32.1. Sports Analytics Vendors
    • 5.32.2. PRINT MEDIA
    • 5.32.3. DIGITAL MEDIA
    • 5.32.4. Television/Video

List of Figures

  • Figure 1. Types of Organizations Using Sports Analytics
  • Figure 2. Sports Analytics Market Driving Forces
  • Figure 3. Sports Analytics Market Driving Factors for Player's Agents
  • Figure 4. Sports Analytics Market Aspects
  • Figure 5. Sports Analytics Market Forces
  • Figure 6. Sports Video Analytics Market Driving Forces
  • Figure 7. Sports Analytics Fantasy Game Market Driving Forces
  • Figure 8. Sports Analytics Uses
  • Figure 9. Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With Teammate
  • Figure 10. NHL Shift Chart Player Statistics
  • Figure 11. NHL Shift Chart Goals Scored Line Statistics
  • Figure 12. NHL Entire Game Shift Chart
  • Figure 13. Sports Analytics Market Shares, Dollars, Worldwide, 2016
  • Figure 14. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023
  • Figure 15. Hockey Goal Scoring
  • Figure 16. Owner John Henry and the Red Sox Leverage Sports Analytics
  • Figure 17. Red Sox Sports Analytics Positioning
  • Figure 18. Red Sox Value Patient Hitters
  • Figure 19. Sports Analytics in the Context of Physicality
  • Figure 20. Major League Baseball Average Roster Cost Per Win
  • Figure 21. Web Sites Dedicated To Hockey Analytics
  • Figure 22. Steph Curry Stats
  • Figure 23. Rockets Lowest Percentage Of Midrange Shots
  • Figure 24. Major League Baseball Average Roster Cost Per Win
  • Figure 25. NHL Hockey Los Angeles LA Kings
  • Figure 26. Cycling Computer Output
  • Figure 27. Factors that Impact Ownership Use of Analytics for Sports Management
  • Figure 28. Types of Organizations Using Sports Analytics
  • Figure 29. Sports Analytics Market Driving Forces
  • Figure 30. Sports Analytics Market Driving Factors for Player's Agents
  • Figure 31. Sports Analytics Market Aspects
  • Figure 32. Sports Analytics Market Forces
  • Figure 33. Sports Video Analytics Market Driving Forces
  • Figure 34. Sports Analytics Fantasy Game Market Driving Forces
  • Figure 35. Sports Analytics Uses
  • Figure 36. Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With Teammate
  • Figure 37. NHL Shift Chart Player Statistics
  • Figure 38. NHL Shift Chart Goals Scored Line Statistics
  • Figure 39. NHL Entire Game Shift Chart
  • Figure 40. Sports Analytics Market Shares, Dollars, Worldwide, 2016
  • Figure 41. Sports Analytics Market Shares, Dollars, Worldwide, 2016
  • Figure 42. MIT Sloan Sports Analytics Conference Attendees
  • Figure 43. MIT Sloan Sports Analytics Conference Attendees
  • Figure 44. Selected Media Using Sports Analytics
  • Figure 45. Digital Media Using Sports Analytics
  • Figure 46. Television / Video Media Using Sports Analytics
  • Figure 47. Sportradar AG Services
  • Figure 48. Sports Analytics Market Segments, High End, Mid Range, and Low End, Dollars, Worldwide, 2016
  • Figure 49. Sports Analytics Market Shares, Dollars, Worldwide, 2016
  • Figure 50. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023
  • Figure 51. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023
  • Figure 52. Sports Analytics Market Shares, Units, Worldwide, 2016
  • Figure 53. Sports Analytics Market Segments Worldwide, Fantasy Sports / Media/ Fans, Wagering, Player Development, Coaching, Teams and Leagues, Market Forecasts, Dollars, 2017-2023
  • Figure 54. Sports Analytics Market Segments Worldwide, Fantasy Sports / Media/ Fans, Wagering, Player Development, Coaching, Teams and Leagues, Market Forecasts, Percent, 2017-2023
  • Figure 55. Sports Analytics Segments
  • Figure 56. Sports Analytics Technology Target Markets
  • Figure 57. Top Sports Leagues In Revenue
  • Figure 58. Revenue by Sports League
  • Figure 59. Digitization of Sports Market Trends
  • Figure 60. Youth League Sports Software Revenue Model Market Factors
  • Figure 61. Youth League Sports Software Market Demands
  • Figure 62. Team Sports HQ Reporting Functions
  • Figure 63. Team Sports Payments and Order Tracking Functions
  • Figure 64. Efficiency Of The Various Software Providers, Revenue per Employee 168
  • Figure 65. Sportradar AG Fantasy Data
  • Figure 66. Sports Analytics Regional Market Segments, Dollars, 2016
  • Figure 67. Sports Analytics Regional Market Segments, 2016
  • Figure 68. Sportradar Positioned To Support Efforts To Grow And Transform Sports 179
  • Figure 69. Sportradar Target Markets
  • Figure 70. Sportradar Sports-Tech Market in the U.S
  • Figure 71. Stats Solutions to Attract and Engage Sports Fans
  • Figure 72. STATS' SportVU Technology Target Markets
  • Figure 73. Stats Fan Experience
  • Figure 74. Stats Portable Beacons for Player Tracking
  • Figure 75. Stats Player Tracking Metrics
  • Figure 76. Stats Leveraging The Timeline
  • Figure 77. Stats Teams and Leagues Sports Tracked
  • Figure 78. Stats Historical Sports Data
  • Figure 79. STATS Sports Data Feeds Trusted Content Modes
  • Figure 80. Opta Sport Analytics Advanced Layer, Next Level Of Data Provision
  • Figure 81. Opta Pro Using Data And Analytics To Support On-Field Performance 235
  • Figure 82. Opta VideoHub's Key Strengths
  • Figure 83. OptaPro VideoHub Elite Competitions Covered
  • Figure 84. OptaPro Portal
  • Figure 85. Opta Cricket Wagon Wheel Graphic, Created Using Data For BBC 244
  • Figure 86. Opta Analytics Charting Success, Unsuccessful, and Assists
  • Figure 87. Investec Leveraging Opta Data Analytics
  • Figure 88. TruMedia's MLB Analytics Platform
  • Figure 89. TruMedia Networks Albert Pujols Batting Pattern
  • Figure 90. TruMedia Analytics Platform Positioning
  • Figure 91. TruMedia Heat Zone Analytics
  • Figure 92. TruMedia Soccer
  • Figure 93. TruMedia's Soccer Analytics Platform League Coverage
  • Figure 94. ESPN Uses TruMedia's Soccer Analytics Platform
  • Figure 95. TruMedia / ESPN Crossing Pattern NCAA Conferences Covered:
  • Figure 96. Sportvision Sports Tracked
  • Figure 97. Sportvision NHL Puck Tracking System
  • Figure 98. Sportvision NHL Game Tracking System
  • Figure 99. Sports Vision Technologies P3ProSwing In-depth Golf Swing Analysis 271
  • Figure 100. Golf Courses Available on P3ProSwing Golf Analytics Simulator
  • Figure 101. Cognitive Computing Real Time Sports Analytics
  • Figure 102. Cognitive Computing Sports Analytics Functions
  • Figure 103. IBM Watson Cognitive IoT Sports Sensor Communication Pathways
  • Figure 104. IBM Watson Cognitive IoT Sports Analytics Functions
  • Figure 105. IBM Augusta National Golf Try Tracker
  • Figure 106. IBM Predictive Analytics Technology Used In Rugby
  • Figure 107. IBM Sports Analytics Tennis Slam Tracker
  • Figure 108. IBM Sports Analytics Player Tracker
  • Figure 109. IBM Sports Analytics Tennis Stats Comparisons
  • Figure 110. IBM Sports Analytics Tennis Set Comparisons
  • Figure 111. IBM Sports Analytics Tennis Keys to the Match Tracker
  • Figure 112. 82games Types of Basketball Numbers
  • Figure 113. 82games Stats Collected on Each Player in a Game
  • Figure 114. Catapult for Coaches Providing Scientifically-Validated Metrics on Athlete Performance
  • Figure 115. Real Sports Analytics Player Performance Scorecard
  • Figure 116. Real Sports Analytics Player Detail View
  • Figure 117. Real Sports Analytics Player Weekly Performance Scorecard
  • Figure 118. Real Sports Analytics Game Metric Player Measure
  • Figure 119. SAS Sports Analytics Functions
  • Figure 120. Hawk-eye Sports Analytics Features
  • Figure 121. Google Analytics Used In Loyalty Program
  • Figure 122. Second Spectrum Video Analytics
  • Figure 123. Second Spectrum Video Platform Functions
  • Figure 124. Second Spectrum Functions: Player Profile, Offense, Defense, Picks
  • Figure 125. Second Spectrum Use Case Example
  • Figure 126. Second Spectrum Tracking Graphics
  • Figure 127. Second Spectrum Optical Tracking Provider of NBA
  • Figure 128. Second Spectrum Player Tracking Benefits
  • Figure 129. Kinduct Athlete Management System Graphics
  • Figure 130. Kinduct Athlete Management System Functions
  • Figure 131. UEFA's Financial Fair Play (FFP)
  • Figure 132. Elite Player Performance Plan (EPPP) Fundamental Principles:
  • Figure 133. Elite Player Performance Plan (EPPP) Focus Areas
  • Figure 134. Elite Player Performance Plan (EPPP) Grading Factors
  • Figure 135. Key Areas of EPPP Focus
  • Figure 136. Major League Baseball MLB Streaming Media Analytics Functions
  • Figure 137. Stats Data Center Technology
  • Figure 138. STATS Data Delivery Protocols:
  • Figure 139. STATS Servers Modules
  • Figure 140. Stats Content Delivery
  • Figure 141. Oracle Powers Stats Databases
  • Figure 142. Stats Secure Connection
  • Figure 143. Stats Information Provided
  • Figure 144. Stats Sports Covered
  • Figure 145. Stats Sports Leagues Covered
  • Figure 146. Stats Interactive Functionality
  • Figure 147. Google Dynamic Architecture
  • Figure 148. Microsoft .Net Dynamic Definition of Reusable Modules
  • Figure 149. Microsoft .NET Compiling Source Code into Managed Assemblies
  • Figure 150. Microsoft Architecture Dynamic Modular Processing
  • Figure 151. Process Of SOA Implementation Depends On N-Dimensional Interaction Of Layers That Can Be Modeled by Business Analyst
  • Figure 152. IBM SOA Business I Services Layers
  • Figure 153. IBM Smart SOA Continuum
  • Figure 154. SOA Foundation Reference Architecture
  • Figure 155. IBM WebSphere MQ WMQ Providing a Universal Messaging Backbone
  • Figure 156. Golf Swing Analyzer
  • Figure 157. Golf Biomechanics Report Features:
  • Figure 158. Motion Measurement Analysis Functions
  • Figure 159. AP Global Reach Statistics
  • Figure 160. AP Image Statistics
  • Figure 161. AP Revenue By Customer and Format
  • Figure 162. AP Download Statistics
  • Figure 163. AP Growth in Sales
  • Figure 164. AP Newsroom Profile
  • Figure 165. Catapult System Device Description and Components
  • Figure 166. Catapult System Device Positioning
  • Figure 167. Catapult System Device Functions
  • Figure 168. Catapult Trending on The Daily Cut
  • Figure 169. Catapult Trending on The MLB Stress
  • Figure 170. Hockey Analytics To Help Make Better Line Combinations
  • Figure 171. Analytics Use as a Coaching Tool
  • Figure 172. NHL Team Activities That Depend On Analytics
  • Figure 173. Fox Sports Analytics Types of Simulations
  • Figure 174. Foxsports Dream Team SimMatchup
  • Figure 175. Foxsports Whatifsports.com
  • Figure 176. Google Analytics Used In Loyalty Program
  • Figure 177. Kinduct Athlete Management System Customer Base
  • Figure 178. Major League Baseball MLB Baseball Swing Analysis
  • Figure 179. 6 Key Hitting Stages
  • Figure 180. Baseball Key Hitting Stages
  • Figure 181. Teaching Young Players Analytics
  • Figure 182. MLB Hitting Analytics for Young Players, Comparison to Big League Hitting Stars
  • Figure 183. Online Sports Management Analytics Features and Benefits
  • Figure 184. MLB.com Digital Academy Youth League Management Tools And Instructional Resources
  • Figure 185. Motor Sports Analytics Features
  • Figure 186. Dazn Live Sports Service Rights Selected Portfolio
  • Figure 187. Opta Partners for Betting
  • Figure 188. Opta Partners for Broadcast
  • Figure 189. Opta Partners for Online and Mobil
  • Figure 190. Opta Partners for Clubs and Governing Bodies
  • Figure 191. Opta Partners for Clubs and Governing Bodies
  • Figure 192. Opta Partners for Print
  • Figure 193. Opta Sponsors and Brands
  • Figure 194. Opta Partners
  • Figure 195. RAMP Holdings Integration Partners
  • Figure 196. RAMP Holdings Technology Partners
  • Figure 197. Second Spectrum Investors
  • Figure 198. Sportvision Credentials: Sports Broadcasting Technology
  • Figure 199. Sports Analytics Institute Player Evaluation System Features
  • Figure 200. Sports Analytics Institute Player Evaluation System Functions
  • Figure 201. Sportradar Sports Tracked
  • Figure 202. Sportradar Comprehensive Coverage
  • Figure 203. Sportradar Regions
  • Figure 204. Stats Sports Partners
  • Figure 205. STATS Sports Technology Target Markets
  • Figure 206. Stats Customers
  • Figure 207. Prozone Cameras
  • Figure 208. Prozone Optical Player Tracking
  • Figure 209. TruMedia Networks Platform Components
  • Figure 210. Trumedia Networks Analytics Solutions Target Markets
  • Figure 211. Zebra Technologies Global Market Positioning
  • Figure 212. Zebra Technologies RFID Sports Positioning
  • Figure 213. Catapult Team Customer Base
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