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Sports Player Tracking and Analytics: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023


Report Details

Sports Player Tracking and Analytics: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

SKU WGSEPT061701
Category Sports and Fitness
Publisher Wintergreen Research
Pages 557
Published Sep-17
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Description

Sports analytics market size at $764.3 million in 2016 is anticipated to reach $15.5 billion by 2023.

New study Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2017 to 2023 has 557 pages, 213 figures.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.

Key Topics

Smart Analytics Products
Sports Analysis Software
Sports Health Consultant
Sports Medicine Clinic
Sports Video Analysis Software
Sports Software
Sports Performance
Video Analysis Software
Baseball Swing Analysis Software
Golf Swing Analysis Software
Motion Analysis Software
Football Analysis Software
Soccer Analysis Software
Sports Cloud Architecture
Sports Analysis Mobile Architecture
SOA
Cloud Computing
Sports
Sports Planning
Sports Training
Sports Coaching
Sports Winning
Sports Player Selection
Sports Betting
Sports Fantasy Games
Sports Application Middleware
Sports Analysis Forecasts
Sports Analysis Market Shares
Sports Analysis Web Services
SOA Governance
SOA ESB
SOA Repository
SOA Directory
SOA Advances In Technology
Services Oriented Architecture (SOA)
Flexible Applications
Middleware
Application Service Levels
Sports Analytics Flexible Response To Changing Market Conditions
Innovation For Leagues
Sports Management Innovation For Team
Sports Management Innovation
Sports Software Localization


News/Press Release

Table of Content

Sports Analytics: Executive Summary

The study is designed to give a comprehensive overview of the Sports Analytics software and devices market segment. Research represents a selection from the mountains of data available of the most relevant and cogent market materials, with selections made by the most senior analysts. Commentary on every aspect of the market from independent analysts creates an independent perspective in the evaluation of the market. In this manner the study presents a comprehensive overview of what is going on in this market, assisting managers with designing market strategies likely to succeed.

Sports Analytics Executive Summary

Sports Analytics Market Description and Market Dynamics

Sports Analytics Market Shares and Market Forecasts

Sports Analytics Product Description

Sports Analytics Technology

Sports Analytics Company Profiles

List of Figures

List of Figures
Figure 1. Types of Organizations Using Sports Analytics 34
Figure 2. Sports Analytics Market Driving Forces 36
Figure 3. Sports Analytics Market Driving Factors for Player’s Agents 36
Figure 4. Sports Analytics Market Aspects 37
Figure 5. Sports Analytics Market Forces 38
Figure 6. Sports Video Analytics Market Driving Forces 39
Figure 7. Sports Analytics Fantasy Game Market Driving Forces 40
Figure 8. Sports Analytics Uses 41
Figure 9. Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second
Period Goal With Teammate 43
Figure 10. NHL Shift Chart Player Statistics 44
Figure 11. NHL Shift Chart Goals Scored Line Statistics 45
Figure 12. NHL Entire Game Shift Chart 47
Figure 13. Sports Analytics Market Shares, Dollars, Worldwide, 2016 48
Figure 14. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023 50
Figure 15. Hockey Goal Scoring 54
Figure 16. Owner John Henry and the Red Sox Leverage Sports Analytics 58
Figure 17. Red Sox Sports Analytics Positioning 59
Figure 18. Red Sox Value Patient Hitters 61
Figure 19. Sports Analytics in the Context of Physicality 65
Figure 20. Major League Baseball Average Roster Cost Per Win 67
Figure 21. Web Sites Dedicated To Hockey Analytics 68
Figure 22. Steph Curry Stats 75
Figure 23. Rockets Lowest Percentage Of Midrange Shots 77
Figure 24. Major League Baseball Average Roster Cost Per Win 80
Figure 25. NHL Hockey Los Angeles LA Kings 81
Figure 26. Cycling Computer Output 83
Figure 27. Factors that Impact Ownership Use of Analytics for Sports
Management 89
Figure 28. Types of Organizations Using Sports Analytics 94
Figure 29. Sports Analytics Market Driving Forces 95
Figure 30. Sports Analytics Market Driving Factors for Player’s Agents 96
Figure 31. Sports Analytics Market Aspects 97
Figure 32. Sports Analytics Market Forces 98
Figure 33. Sports Video Analytics Market Driving Forces 99
Figure 34. Sports Analytics Fantasy Game Market Driving Forces 100
Figure 35. Sports Analytics Uses 101
Figure 36. Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second
Period Goal With Teammate 102
Figure 37. NHL Shift Chart Player Statistics 103
Figure 38. NHL Shift Chart Goals Scored Line Statistics 104
Figure 39. NHL Entire Game Shift Chart 106
Figure 40. Sports Analytics Market Shares, Dollars, Worldwide, 2016 107
Figure 41. Sports Analytics Market Shares, Dollars, Worldwide, 2016 108
Figure 42. MIT Sloan Sports Analytics Conference Attendees 109
Figure 43. MIT Sloan Sports Analytics Conference Attendees 109
Figure 44. Selected Media Using Sports Analytics 112
Figure 45. Digital Media Using Sports Analytics 114
Figure 46. Television / Video Media Using Sports Analytics 116
Figure 47. Sportradar AG Services 118
Figure 48. Sports Analytics Market Segments, High End, Mid Range, and Low End,
Dollars, Worldwide, 2016 126
Figure 49. Sports Analytics Market Shares, Dollars, Worldwide, 2016 128
Figure 50. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023 129
Figure 51. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023 130
Figure 52. Sports Analytics Market Shares, Units, Worldwide, 2016 132
Figure 53. Sports Analytics Market Segments Worldwide, Fantasy Sports / Media /
Fans, Wagering, Player Development, Coaching, Teams and Leagues, Market
Forecasts, Dollars, 2017-2023 133
Figure 54. Sports Analytics Market Segments Worldwide, Fantasy Sports / Media /
Fans, Wagering, Player Development, Coaching, Teams and Leagues, Market
Forecasts, Percent, 2017-2023 134
Figure 55. Sports Analytics Segments 136
Figure 56. Sports Analytics Technology Target Markets 137
Figure 57. Top Sports Leagues In Revenue 140
Figure 58. Revenue by Sports League 141
Figure 59. Digitization of Sports Market Trends 155
Figure 60. Youth League Sports Software Revenue Model Market Factors 163
Figure 61. Youth League Sports Software Market Demands 164
Figure 62. Team Sports HQ Reporting Functions 166
Figure 63. Team Sports Payments and Order Tracking Functions 167
Figure 64. Efficiency Of The Various Software Providers, Revenue per Employee
168
Figure 65. Sportradar AG Fantasy Data 173
Figure 66. Sports Analytics Regional Market Segments, Dollars, 2016 174
Figure 67. Sports Analytics Regional Market Segments, 2016 175
Figure 68. Sportradar Positioned To Support Efforts To Grow And Transform
Sports 179
Figure 69. Sportradar Target Markets 180
Figure 70. Sportradar Sports-Tech Market in the U.S 181
Figure 71. Stats Solutions to Attract and Engage Sports Fans 194
Figure 72. STATS’ SportVU Technology Target Markets 205
Figure 73. Stats Fan Experience 208
Figure 74. Stats Portable Beacons for Player Tracking 208
Figure 75. Stats Player Tracking Metrics 210
Figure 76. Stats Leveraging The Timeline 216
Figure 77. Stats Teams and Leagues Sports Tracked 217
Figure 78. Stats Historical Sports Data 219
Figure 79. STATS Sports Data Feeds Trusted Content Modes 220
Figure 80. Opta Sport Analytics Advanced Layer, Next Level Of Data Provision 235
Figure 81. Opta Pro Using Data And Analytics To Support On-Field Performance
235
Figure 82. Opta VideoHub’s Key Strengths 239
Figure 83. OptaPro VideoHub Elite Competitions Covered 240
Figure 84. OptaPro Portal 242
Figure 85. Opta Cricket Wagon Wheel Graphic, Created Using Data For BBC Sport
244
Figure 86. Opta Analytics Charting Success, Unsuccessful, and Assists 245
Figure 87. Investec Leveraging Opta Data Analytics 246
Figure 88. TruMedia's MLB Analytics Platform 248
Figure 89. TruMedia Networks Albert Pujols Batting Pattern 249
Figure 90. TruMedia Analytics Platform Positioning 250
Figure 91. TruMedia Heat Zone Analytics 251
Figure 92. TruMedia Soccer 253
Figure 93. TruMedia's Soccer Analytics Platform League Coverage 254
Figure 94. ESPN Uses TruMedia's Soccer Analytics Platform 255
Figure 95. TruMedia / ESPN Crossing Pattern NCAA Conferences Covered: 256
Figure 96. Sportvision Sports Tracked 263
Figure 97. Sportvision NHL Puck Tracking System 267
Figure 98. Sportvision NHL Game Tracking System 269
Figure 99. Sports Vision Technologies P3ProSwing In-depth Golf Swing Analysis
271
Figure 100. Golf Courses Available on P3ProSwing Golf Analytics Simulator 272
Figure 101. Cognitive Computing Real Time Sports Analytics 274
Figure 102. Cognitive Computing Sports Analytics Functions 275
Figure 103. IBM Watson Cognitive IoT Sports Sensor Communication Pathways
277
Figure 104. IBM Watson Cognitive IoT Sports Analytics Functions 278
Figure 105. IBM Augusta National Golf Try Tracker 281
Figure 106. IBM Predictive Analytics Technology Used In Rugby 282
Figure 107. IBM Sports Analytics Tennis Slam Tracker 284
Figure 108. IBM Sports Analytics Player Tracker 285
Figure 109. IBM Sports Analytics Tennis Stats Comparisons 285
Figure 110. IBM Sports Analytics Tennis Set Comparisons 286
Figure 111. IBM Sports Analytics Tennis Keys to the Match Tracker 286
Figure 112. 82games Types of Basketball Numbers 287
Figure 113. 82games Stats Collected on Each Player in a Game 288
Figure 114. Catapult for Coaches Providing Scientifically-Validated Metrics on
Athlete Performance 293
Figure 115. Real Sports Analytics Player Performance Scorecard 298
Figure 116. Real Sports Analytics Player Detail View 299
Figure 117. Real Sports Analytics Player Weekly Performance Scorecard 300
Figure 118. Real Sports Analytics Game Metric Player Measure 301
Figure 119. SAS Sports Analytics Functions 303
Figure 120. Hawk-eye Sports Analytics Features 305
Figure 121. Google Analytics Used In Loyalty Program 308
Figure 122. Second Spectrum Video Analytics 309
Figure 123. Second Spectrum Video Platform Functions 310
Figure 124. Second Spectrum Functions: Player Profile, Offense, Defense, Picks
311
Figure 125. Second Spectrum Use Case Example 313
Figure 126. Second Spectrum Tracking Graphics 314
Figure 127. Second Spectrum Optical Tracking Provider of NBA 315
Figure 128. Second Spectrum Player Tracking Benefits 316
Figure 129. Kinduct Athlete Management System Graphics 320
Figure 130. Kinduct Athlete Management System Functions 321
Figure 131. UEFA’s Financial Fair Play (FFP) 323
Figure 132. Elite Player Performance Plan (EPPP) Fundamental Principles: 325
Figure 133. Elite Player Performance Plan (EPPP) Focus Areas 326
Figure 134. Elite Player Performance Plan (EPPP) Grading Factors 327
Figure 135. Key Areas of EPPP Focus 329
Figure 136. Major League Baseball MLB Streaming Media Analytics Functions 330
Figure 137. Stats Data Center Technology 335
Figure 138. STATS Data Delivery Protocols: 336
Figure 139. STATS Servers Modules 337
Figure 140. Stats Content Delivery 338
Figure 141. Oracle Powers Stats Databases 338
Figure 142. Stats Secure Connection 340
Figure 143. Stats Information Provided 341
Figure 144. Stats Sports Covered 342
Figure 145. Stats Sports Leagues Covered 343
Figure 146. Stats Interactive Functionality 350
Figure 147. Google Dynamic Architecture 351
Figure 148. Microsoft .Net Dynamic Definition of Reusable Modules 355
Figure 149. Microsoft .NET Compiling Source Code into Managed Assemblies 357
Figure 150. Microsoft Architecture Dynamic Modular Processing 358
Figure 151. Process Of SOA Implementation Depends On N-Dimensional
Interaction Of Layers That Can Be Modeled by Business Analyst 360
Figure 152. IBM SOA Business I Services Layers 361
Figure 153. IBM Smart SOA Continuum 362
Figure 154. SOA Foundation Reference Architecture 363
Figure 155. IBM WebSphere MQ WMQ Providing a Universal Messaging Backbone
Figure 156. Golf Swing Analyzer 370
Figure 157. Golf Biomechanics Report Features: 373
Figure 158. Motion Measurement Analysis Functions 374
Figure 159. AP Global Reach Statistics 378
Figure 160. AP Image Statistics 379
Figure 161. AP Revenue By Customer and Format 380
Figure 162. AP Download Statistics 381
Figure 163. AP Growth in Sales 381
Figure 164. AP Newsroom Profile 382
Figure 165. Catapult System Device Description and Components 391
Figure 166. Catapult System Device Positioning 392
Figure 167. Catapult System Device Functions 392
Figure 168. Catapult Trending on The Daily Cut 393
Figure 169. Catapult Trending on The MLB Stress 394
Figure 170. Hockey Analytics To Help Make Better Line Combinations 399
Figure 171. Analytics Use as a Coaching Tool 401
Figure 172. NHL Team Activities That Depend On Analytics 402
Figure 173. Fox Sports Analytics Types of Simulations 408
Figure 174. Foxsports Dream Team SimMatchup 416
Figure 175. Foxsports Whatifsports.com 417
Figure 176. Google Analytics Used In Loyalty Program 419
Figure 177. Kinduct Athlete Management System Customer Base 420
Figure 178. Major League Baseball MLB Baseball Swing Analysis 425
Figure 179. 6 Key Hitting Stages 436
Figure 180. Baseball Key Hitting Stages 437
Figure 181. Teaching Young Players Analytics 438
Figure 182. MLB Hitting Analytics for Young Players, Comparison to Big League
Hitting Stars
Figure 183. Online Sports Management Analytics Features and Benefits 441
Figure 184. MLB.com Digital Academy Youth League Management Tools And
Instructional Resources 443
Figure 185. Motor Sports Analytics Features 444
Figure 186. Dazn Live Sports Service Rights Selected Portfolio 454
Figure 187. Opta Partners for Betting 456
Figure 188. Opta Partners for Broadcast 457
Figure 189. Opta Partners for Online and Mobil 458
Figure 190. Opta Partners for Clubs and Governing Bodies 460
Figure 191. Opta Partners for Clubs and Governing Bodies 461
Figure 192. Opta Partners for Print 466
Figure 193. Opta Sponsors and Brands 467
Figure 194. Opta Partners 468
Figure 195. RAMP Holdings Integration Partners 475
Figure 196. RAMP Holdings Technology Partners 476
Figure 197. Second Spectrum Investors 477
Figure 198. Sportvision Credentials: Sports Broadcasting Technology 482
Figure 199. Sports Analytics Institute Player Evaluation System Features 484
Figure 200. Sports Analytics Institute Player Evaluation System Functions 485
Figure 201. Sportradar Sports Tracked 488
Figure 202. Sportradar Comprehensive Coverage 489
Figure 203. Sportradar Regions 491
Figure 204. Stats Sports Partners 499
Figure 205. STATS Sports Technology Target Markets 503
Figure 206. Stats Customers 504
Figure 207. Prozone Cameras 506
Figure 208. Prozone Optical Player Tracking 507
Figure 209. TruMedia Networks Platform Components 519
Figure 183. Online Sports Management Analytics Features and Benefits 441
Figure 184. MLB.com Digital Academy Youth League Management Tools And
Instructional Resources 443
Figure 185. Motor Sports Analytics Features 444
Figure 186. Dazn Live Sports Service Rights Selected Portfolio 454
Figure 187. Opta Partners for Betting 456
Figure 188. Opta Partners for Broadcast 457
Figure 189. Opta Partners for Online and Mobil 458
Figure 190. Opta Partners for Clubs and Governing Bodies 460
Figure 191. Opta Partners for Clubs and Governing Bodies 461
Figure 192. Opta Partners for Print 466
Figure 193. Opta Sponsors and Brands 467
Figure 194. Opta Partners 468
Figure 195. RAMP Holdings Integration Partners 475
Figure 196. RAMP Holdings Technology Partners 476
Figure 197. Second Spectrum Investors 477
Figure 198. Sportvision Credentials: Sports Broadcasting Technology 482
Figure 199. Sports Analytics Institute Player Evaluation System Features 484
Figure 200. Sports Analytics Institute Player Evaluation System Functions 485
Figure 201. Sportradar Sports Tracked 488
Figure 202. Sportradar Comprehensive Coverage 489
Figure 203. Sportradar Regions 491
Figure 204. Stats Sports Partners 499
Figure 205. STATS Sports Technology Target Markets 503
Figure 206. Stats Customers 504
Figure 207. Prozone Cameras 506
Figure 208. Prozone Optical Player Tracking 507
Figure 209. TruMedia Networks Platform Components 519
Figure 210. Trumedia Networks Analytics Solutions Target Markets 520
Figure 211. Zebra Technologies Global Market Positioning 525
Figure 212. Zebra Technologies RFID Sports Positioning 526
Figure 213. Catapult Team Customer Base 1

Companies Profiled

Sportradar AG
Perform / Opta
Stats / Prozone
Formula 1
Catapult
TruMedia
Sportvision
Advanced Sports Analytics
Analytics Educational
Associated Press
Bodybuilding.com
Bulz
Catapult: NHL Technology Reduces Injuries
CBS Sports Analytics
Competitive Sports Analysis
Formula One
Fox What If Embraces Technology as It Redefines Sports Competition
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 / STATS
TruMedia Networks
Zebra Technologies Sports Solutions

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