Global Sports Injury Prediction Market

Sports Injury Prediction Comprehensive Study by Application (Performance Assessment, Injury Risk Analysis, Activity Monitoring, Recovery & Post Injury Care, Biomechanics, Others), Sport (Cricket, Football, Soccer, Rugby, Basketball, Baseball, Racing, Others), Technology (Motion Capture, Player Activity Tracking, Vital Sign Monitoring, Sensor-Based Technology, Image-Based Technology, Machine Learning, Others), Offering (Hardware {GPS Systems, Accelerometers, Gyroscopes}, Software) Players and Region - Global Market Outlook to 2026

Sports Injury Prediction Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Sports Injury Prediction Market?

Sports Injury Prediction is an important factor in the sports industry as it refers to the systems which identify injury risk at an individual level and implement interventions to mitigate the level of risk. Combining the various isolated risk factors and their interaction, understanding injury risk factors and their interplay is thereby a key component of preventing future injuries in sport. Recently the use of advanced Artificial Intelligence (AI) methods has appeared in sports medicine to tackle this challenging multi-faceted task.

The market study is being classified, by Application (Performance Assessment, Injury Risk Analysis, Activity Monitoring, Recovery & Post Injury Care, Biomechanics and Others) and major geographies with country level break-up.

Microsoft Inc. (United States), IBM Corporation (United States), CA Technologies Inc (United States), Sportvision Inc (United States), NeuroDimension Inc (United States), Catapult Sports Pty Ltd. (Australia), Kitman Labs (United States), Fusion Sport Pty Ltc. (Australia), Scribe Labs (United Kingdom) and Sansible Wearable (United Kingdom) are some of the key players profiled in the study.

The global market for Sports Injury Prediction systems and solutions is fragmented by global players owing to the rising demand for sports injury predictions in the growing sports field and the safety of different sports players for safe sports. The players should focus on developing cutting-edge technology for the betterment of the sports industry and grab the market share.

Segment Analysis
Analyst at AMA have segmented the market study of Global Sports Injury Prediction market by Type, Application and Region.

On the basis of geography, the market of Sports Injury Prediction has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2020. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Rising Demand of Sports Injury Prediction in Sports Industry for Safety of Players
  • Growth in Sports Activities in Developing and Developer Regions and Anticipated Participations Mega Sports Event like Olympics and World Cups

Market Trend
  • Integration of Automation with Systems like Artificial Intelligence and Machine Learning
  • Product Development of Software and Hardware with Updated Technologies and Behavioural Changes or Injury Tracks

Restraints
  • Increasing Cost of Devices Such as Heart Rate Monitoring, GPS Systems, etc.

Opportunities
  • The Rapid Development in The Wearable Technology and Fitness Trackers in The Sports Industry
  • Increasing Government Investments in Sports Injury Prediction Systems

Challenges
  • Lack of Accuracy While Predicting Sport Injuries


In 2019, Catapult Group International launched its next generation wearable technology Vector. Vector is amongst the significant wearable product which uses ClearSky technology to move indoors and outdoors for combining comprehensive data collected from the Global Positioning System and Local Positioning System technology.


Key Target Audience
Sports Injury Prediction Systems Provider, Software Developer, Hardware Manufacturer, Research Institutes, End-User Industry and Others

Report Objectives / Segmentation Covered

By Application
  • Performance Assessment
  • Injury Risk Analysis
  • Activity Monitoring
  • Recovery & Post Injury Care
  • Biomechanics
  • Others
By Sport
  • Cricket
  • Football
  • Soccer
  • Rugby
  • Basketball
  • Baseball
  • Racing
  • Others

By Technology
  • Motion Capture
  • Player Activity Tracking
  • Vital Sign Monitoring
  • Sensor-Based Technology
  • Image-Based Technology
  • Machine Learning
  • Others

By Offering
  • Hardware {GPS Systems, Accelerometers, Gyroscopes}
  • Software

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Demand of Sports Injury Prediction in Sports Industry for Safety of Players
      • 3.2.2. Growth in Sports Activities in Developing and Developer Regions and Anticipated Participations Mega Sports Event like Olympics and World Cups
    • 3.3. Market Challenges
      • 3.3.1. Lack of Accuracy While Predicting Sport Injuries
    • 3.4. Market Trends
      • 3.4.1. Integration of Automation with Systems like Artificial Intelligence and Machine Learning
      • 3.4.2. Product Development of Software and Hardware with Updated Technologies and Behavioural Changes or Injury Tracks
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Sports Injury Prediction, by Application, Sport, Technology, Offering and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Sports Injury Prediction (Value)
      • 5.2.1. Global Sports Injury Prediction by: Application (Value)
        • 5.2.1.1. Performance Assessment
        • 5.2.1.2. Injury Risk Analysis
        • 5.2.1.3. Activity Monitoring
        • 5.2.1.4. Recovery & Post Injury Care
        • 5.2.1.5. Biomechanics
        • 5.2.1.6. Others
      • 5.2.2. Global Sports Injury Prediction by: Sport (Value)
        • 5.2.2.1. Cricket
        • 5.2.2.2. Football
        • 5.2.2.3. Soccer
        • 5.2.2.4. Rugby
        • 5.2.2.5. Basketball
        • 5.2.2.6. Baseball
        • 5.2.2.7. Racing
        • 5.2.2.8. Others
      • 5.2.3. Global Sports Injury Prediction by: Technology (Value)
        • 5.2.3.1. Motion Capture
        • 5.2.3.2. Player Activity Tracking
        • 5.2.3.3. Vital Sign Monitoring
        • 5.2.3.4. Sensor-Based Technology
        • 5.2.3.5. Image-Based Technology
        • 5.2.3.6. Machine Learning
        • 5.2.3.7. Others
      • 5.2.4. Global Sports Injury Prediction by: Offering (Value)
        • 5.2.4.1. Hardware {GPS Systems, Accelerometers, Gyroscopes}
        • 5.2.4.2. Software
      • 5.2.5. Global Sports Injury Prediction Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Sports Injury Prediction: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Inc. (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. IBM Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. CA Technologies Inc (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Sportvision Inc (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. NeuroDimension Inc (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Catapult Sports Pty Ltd. (Australia)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Kitman Labs (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Fusion Sport Pty Ltc. (Australia)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Scribe Labs (United Kingdom)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Sansible Wearable (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Sports Injury Prediction Sale, by Application, Sport, Technology, Offering and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Sports Injury Prediction (Value)
      • 7.2.1. Global Sports Injury Prediction by: Application (Value)
        • 7.2.1.1. Performance Assessment
        • 7.2.1.2. Injury Risk Analysis
        • 7.2.1.3. Activity Monitoring
        • 7.2.1.4. Recovery & Post Injury Care
        • 7.2.1.5. Biomechanics
        • 7.2.1.6. Others
      • 7.2.2. Global Sports Injury Prediction by: Sport (Value)
        • 7.2.2.1. Cricket
        • 7.2.2.2. Football
        • 7.2.2.3. Soccer
        • 7.2.2.4. Rugby
        • 7.2.2.5. Basketball
        • 7.2.2.6. Baseball
        • 7.2.2.7. Racing
        • 7.2.2.8. Others
      • 7.2.3. Global Sports Injury Prediction by: Technology (Value)
        • 7.2.3.1. Motion Capture
        • 7.2.3.2. Player Activity Tracking
        • 7.2.3.3. Vital Sign Monitoring
        • 7.2.3.4. Sensor-Based Technology
        • 7.2.3.5. Image-Based Technology
        • 7.2.3.6. Machine Learning
        • 7.2.3.7. Others
      • 7.2.4. Global Sports Injury Prediction by: Offering (Value)
        • 7.2.4.1. Hardware {GPS Systems, Accelerometers, Gyroscopes}
        • 7.2.4.2. Software
      • 7.2.5. Global Sports Injury Prediction Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Sports Injury Prediction: by Application(USD Million)
  • Table 2. Sports Injury Prediction Performance Assessment , by Region USD Million (2015-2020)
  • Table 3. Sports Injury Prediction Injury Risk Analysis , by Region USD Million (2015-2020)
  • Table 4. Sports Injury Prediction Activity Monitoring , by Region USD Million (2015-2020)
  • Table 5. Sports Injury Prediction Recovery & Post Injury Care , by Region USD Million (2015-2020)
  • Table 6. Sports Injury Prediction Biomechanics , by Region USD Million (2015-2020)
  • Table 7. Sports Injury Prediction Others , by Region USD Million (2015-2020)
  • Table 8. Sports Injury Prediction: by Sport(USD Million)
  • Table 9. Sports Injury Prediction Cricket , by Region USD Million (2015-2020)
  • Table 10. Sports Injury Prediction Football , by Region USD Million (2015-2020)
  • Table 11. Sports Injury Prediction Soccer , by Region USD Million (2015-2020)
  • Table 12. Sports Injury Prediction Rugby , by Region USD Million (2015-2020)
  • Table 13. Sports Injury Prediction Basketball , by Region USD Million (2015-2020)
  • Table 14. Sports Injury Prediction Baseball , by Region USD Million (2015-2020)
  • Table 15. Sports Injury Prediction Racing , by Region USD Million (2015-2020)
  • Table 16. Sports Injury Prediction Others , by Region USD Million (2015-2020)
  • Table 17. Sports Injury Prediction: by Technology(USD Million)
  • Table 18. Sports Injury Prediction Motion Capture , by Region USD Million (2015-2020)
  • Table 19. Sports Injury Prediction Player Activity Tracking , by Region USD Million (2015-2020)
  • Table 20. Sports Injury Prediction Vital Sign Monitoring , by Region USD Million (2015-2020)
  • Table 21. Sports Injury Prediction Sensor-Based Technology , by Region USD Million (2015-2020)
  • Table 22. Sports Injury Prediction Image-Based Technology , by Region USD Million (2015-2020)
  • Table 23. Sports Injury Prediction Machine Learning , by Region USD Million (2015-2020)
  • Table 24. Sports Injury Prediction Others , by Region USD Million (2015-2020)
  • Table 25. Sports Injury Prediction: by Offering(USD Million)
  • Table 26. Sports Injury Prediction Hardware {GPS Systems, Accelerometers, Gyroscopes} , by Region USD Million (2015-2020)
  • Table 27. Sports Injury Prediction Software , by Region USD Million (2015-2020)
  • Table 28. South America Sports Injury Prediction, by Country USD Million (2015-2020)
  • Table 29. South America Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 30. South America Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 31. South America Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 32. South America Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 33. Brazil Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 34. Brazil Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 35. Brazil Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 36. Brazil Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 37. Argentina Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 38. Argentina Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 39. Argentina Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 40. Argentina Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 41. Rest of South America Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 42. Rest of South America Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 43. Rest of South America Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 44. Rest of South America Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 45. Asia Pacific Sports Injury Prediction, by Country USD Million (2015-2020)
  • Table 46. Asia Pacific Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 47. Asia Pacific Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 48. Asia Pacific Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 49. Asia Pacific Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 50. China Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 51. China Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 52. China Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 53. China Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 54. Japan Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 55. Japan Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 56. Japan Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 57. Japan Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 58. India Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 59. India Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 60. India Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 61. India Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 62. South Korea Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 63. South Korea Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 64. South Korea Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 65. South Korea Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 66. Taiwan Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 67. Taiwan Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 68. Taiwan Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 69. Taiwan Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 70. Australia Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 71. Australia Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 72. Australia Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 73. Australia Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 74. Rest of Asia-Pacific Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 75. Rest of Asia-Pacific Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 76. Rest of Asia-Pacific Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 77. Rest of Asia-Pacific Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 78. Europe Sports Injury Prediction, by Country USD Million (2015-2020)
  • Table 79. Europe Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 80. Europe Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 81. Europe Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 82. Europe Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 83. Germany Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 84. Germany Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 85. Germany Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 86. Germany Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 87. France Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 88. France Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 89. France Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 90. France Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 91. Italy Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 92. Italy Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 93. Italy Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 94. Italy Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 95. United Kingdom Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 96. United Kingdom Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 97. United Kingdom Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 98. United Kingdom Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 99. Netherlands Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 100. Netherlands Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 101. Netherlands Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 102. Netherlands Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 103. Rest of Europe Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 104. Rest of Europe Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 105. Rest of Europe Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 106. Rest of Europe Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 107. MEA Sports Injury Prediction, by Country USD Million (2015-2020)
  • Table 108. MEA Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 109. MEA Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 110. MEA Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 111. MEA Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 112. Middle East Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 113. Middle East Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 114. Middle East Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 115. Middle East Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 116. Africa Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 117. Africa Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 118. Africa Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 119. Africa Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 120. North America Sports Injury Prediction, by Country USD Million (2015-2020)
  • Table 121. North America Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 122. North America Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 123. North America Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 124. North America Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 125. United States Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 126. United States Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 127. United States Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 128. United States Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 129. Canada Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 130. Canada Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 131. Canada Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 132. Canada Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 133. Mexico Sports Injury Prediction, by Application USD Million (2015-2020)
  • Table 134. Mexico Sports Injury Prediction, by Sport USD Million (2015-2020)
  • Table 135. Mexico Sports Injury Prediction, by Technology USD Million (2015-2020)
  • Table 136. Mexico Sports Injury Prediction, by Offering USD Million (2015-2020)
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Sports Injury Prediction: by Application(USD Million)
  • Table 148. Sports Injury Prediction Performance Assessment , by Region USD Million (2021-2026)
  • Table 149. Sports Injury Prediction Injury Risk Analysis , by Region USD Million (2021-2026)
  • Table 150. Sports Injury Prediction Activity Monitoring , by Region USD Million (2021-2026)
  • Table 151. Sports Injury Prediction Recovery & Post Injury Care , by Region USD Million (2021-2026)
  • Table 152. Sports Injury Prediction Biomechanics , by Region USD Million (2021-2026)
  • Table 153. Sports Injury Prediction Others , by Region USD Million (2021-2026)
  • Table 154. Sports Injury Prediction: by Sport(USD Million)
  • Table 155. Sports Injury Prediction Cricket , by Region USD Million (2021-2026)
  • Table 156. Sports Injury Prediction Football , by Region USD Million (2021-2026)
  • Table 157. Sports Injury Prediction Soccer , by Region USD Million (2021-2026)
  • Table 158. Sports Injury Prediction Rugby , by Region USD Million (2021-2026)
  • Table 159. Sports Injury Prediction Basketball , by Region USD Million (2021-2026)
  • Table 160. Sports Injury Prediction Baseball , by Region USD Million (2021-2026)
  • Table 161. Sports Injury Prediction Racing , by Region USD Million (2021-2026)
  • Table 162. Sports Injury Prediction Others , by Region USD Million (2021-2026)
  • Table 163. Sports Injury Prediction: by Technology(USD Million)
  • Table 164. Sports Injury Prediction Motion Capture , by Region USD Million (2021-2026)
  • Table 165. Sports Injury Prediction Player Activity Tracking , by Region USD Million (2021-2026)
  • Table 166. Sports Injury Prediction Vital Sign Monitoring , by Region USD Million (2021-2026)
  • Table 167. Sports Injury Prediction Sensor-Based Technology , by Region USD Million (2021-2026)
  • Table 168. Sports Injury Prediction Image-Based Technology , by Region USD Million (2021-2026)
  • Table 169. Sports Injury Prediction Machine Learning , by Region USD Million (2021-2026)
  • Table 170. Sports Injury Prediction Others , by Region USD Million (2021-2026)
  • Table 171. Sports Injury Prediction: by Offering(USD Million)
  • Table 172. Sports Injury Prediction Hardware {GPS Systems, Accelerometers, Gyroscopes} , by Region USD Million (2021-2026)
  • Table 173. Sports Injury Prediction Software , by Region USD Million (2021-2026)
  • Table 174. South America Sports Injury Prediction, by Country USD Million (2021-2026)
  • Table 175. South America Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 176. South America Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 177. South America Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 178. South America Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 179. Brazil Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 180. Brazil Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 181. Brazil Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 182. Brazil Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 183. Argentina Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 184. Argentina Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 185. Argentina Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 186. Argentina Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 187. Rest of South America Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 188. Rest of South America Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 189. Rest of South America Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 190. Rest of South America Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 191. Asia Pacific Sports Injury Prediction, by Country USD Million (2021-2026)
  • Table 192. Asia Pacific Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 193. Asia Pacific Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 194. Asia Pacific Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 195. Asia Pacific Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 196. China Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 197. China Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 198. China Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 199. China Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 200. Japan Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 201. Japan Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 202. Japan Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 203. Japan Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 204. India Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 205. India Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 206. India Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 207. India Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 208. South Korea Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 209. South Korea Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 210. South Korea Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 211. South Korea Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 212. Taiwan Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 213. Taiwan Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 214. Taiwan Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 215. Taiwan Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 216. Australia Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 217. Australia Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 218. Australia Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 219. Australia Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 220. Rest of Asia-Pacific Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 221. Rest of Asia-Pacific Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 222. Rest of Asia-Pacific Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 223. Rest of Asia-Pacific Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 224. Europe Sports Injury Prediction, by Country USD Million (2021-2026)
  • Table 225. Europe Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 226. Europe Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 227. Europe Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 228. Europe Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 229. Germany Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 230. Germany Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 231. Germany Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 232. Germany Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 233. France Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 234. France Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 235. France Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 236. France Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 237. Italy Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 238. Italy Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 239. Italy Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 240. Italy Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 241. United Kingdom Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 242. United Kingdom Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 243. United Kingdom Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 244. United Kingdom Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 245. Netherlands Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 246. Netherlands Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 247. Netherlands Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 248. Netherlands Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 249. Rest of Europe Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 250. Rest of Europe Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 251. Rest of Europe Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 252. Rest of Europe Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 253. MEA Sports Injury Prediction, by Country USD Million (2021-2026)
  • Table 254. MEA Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 255. MEA Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 256. MEA Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 257. MEA Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 258. Middle East Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 259. Middle East Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 260. Middle East Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 261. Middle East Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 262. Africa Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 263. Africa Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 264. Africa Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 265. Africa Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 266. North America Sports Injury Prediction, by Country USD Million (2021-2026)
  • Table 267. North America Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 268. North America Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 269. North America Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 270. North America Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 271. United States Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 272. United States Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 273. United States Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 274. United States Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 275. Canada Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 276. Canada Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 277. Canada Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 278. Canada Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 279. Mexico Sports Injury Prediction, by Application USD Million (2021-2026)
  • Table 280. Mexico Sports Injury Prediction, by Sport USD Million (2021-2026)
  • Table 281. Mexico Sports Injury Prediction, by Technology USD Million (2021-2026)
  • Table 282. Mexico Sports Injury Prediction, by Offering USD Million (2021-2026)
  • Table 283. Research Programs/Design for This Report
  • Table 284. Key Data Information from Secondary Sources
  • Table 285. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Sports Injury Prediction: by Application USD Million (2015-2020)
  • Figure 5. Global Sports Injury Prediction: by Sport USD Million (2015-2020)
  • Figure 6. Global Sports Injury Prediction: by Technology USD Million (2015-2020)
  • Figure 7. Global Sports Injury Prediction: by Offering USD Million (2015-2020)
  • Figure 8. South America Sports Injury Prediction Share (%), by Country
  • Figure 9. Asia Pacific Sports Injury Prediction Share (%), by Country
  • Figure 10. Europe Sports Injury Prediction Share (%), by Country
  • Figure 11. MEA Sports Injury Prediction Share (%), by Country
  • Figure 12. North America Sports Injury Prediction Share (%), by Country
  • Figure 13. Global Sports Injury Prediction share by Players 2020 (%)
  • Figure 14. Global Sports Injury Prediction share by Players (Top 3) 2020(%)
  • Figure 15. Global Sports Injury Prediction share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft Inc. (United States) Revenue: by Geography 2020
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 21. CA Technologies Inc (United States) Revenue, Net Income and Gross profit
  • Figure 22. CA Technologies Inc (United States) Revenue: by Geography 2020
  • Figure 23. Sportvision Inc (United States) Revenue, Net Income and Gross profit
  • Figure 24. Sportvision Inc (United States) Revenue: by Geography 2020
  • Figure 25. NeuroDimension Inc (United States) Revenue, Net Income and Gross profit
  • Figure 26. NeuroDimension Inc (United States) Revenue: by Geography 2020
  • Figure 27. Catapult Sports Pty Ltd. (Australia) Revenue, Net Income and Gross profit
  • Figure 28. Catapult Sports Pty Ltd. (Australia) Revenue: by Geography 2020
  • Figure 29. Kitman Labs (United States) Revenue, Net Income and Gross profit
  • Figure 30. Kitman Labs (United States) Revenue: by Geography 2020
  • Figure 31. Fusion Sport Pty Ltc. (Australia) Revenue, Net Income and Gross profit
  • Figure 32. Fusion Sport Pty Ltc. (Australia) Revenue: by Geography 2020
  • Figure 33. Scribe Labs (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. Scribe Labs (United Kingdom) Revenue: by Geography 2020
  • Figure 35. Sansible Wearable (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 36. Sansible Wearable (United Kingdom) Revenue: by Geography 2020
  • Figure 37. Global Sports Injury Prediction: by Application USD Million (2021-2026)
  • Figure 38. Global Sports Injury Prediction: by Sport USD Million (2021-2026)
  • Figure 39. Global Sports Injury Prediction: by Technology USD Million (2021-2026)
  • Figure 40. Global Sports Injury Prediction: by Offering USD Million (2021-2026)
  • Figure 41. South America Sports Injury Prediction Share (%), by Country
  • Figure 42. Asia Pacific Sports Injury Prediction Share (%), by Country
  • Figure 43. Europe Sports Injury Prediction Share (%), by Country
  • Figure 44. MEA Sports Injury Prediction Share (%), by Country
  • Figure 45. North America Sports Injury Prediction Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Microsoft Inc. (United States)
  • IBM Corporation (United States)
  • CA Technologies Inc (United States)
  • Sportvision Inc (United States)
  • NeuroDimension Inc (United States)
  • Catapult Sports Pty Ltd. (Australia)
  • Kitman Labs (United States)
  • Fusion Sport Pty Ltc. (Australia)
  • Scribe Labs (United Kingdom)
  • Sansible Wearable (United Kingdom)
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Key Highlights of Report


Jul 2021 244 Pages 51 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Sports Injury Prediction Market Quantitative research analysis
Global Sports Injury Prediction Market Qualitative Industry Analysis
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