Global Cloud-based Sports Analytics Market

Cloud-based Sports Analytics Comprehensive Study by Type (On-Field, Off-Field), Application (Performance Analysis {Team Performance Analysis, Competitor Analysis, & Management}, Player Fitness &Safety, Player and Team Valuation, Fan Engagement, Broadcast Management), Component (Solutions, Services), Sports Type (Individual Sports, Team Sports) Players and Region - Global Market Outlook to 2026

Cloud-based Sports Analytics Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Cloud-based Sports Analytics Market Overview:
Cloud-Based Sports Analytics Make Use of Cloud Technology to Analyse & Track Vital Sports Information & Draw Insights to Have an Edge Over the Opponents. The Data Collected Through This Technology Can be Used for Various Purposes Including Selection of Players, Deciding Playing Line-Ups, & Strategy Formulation Before, During, & After The Game. Cloud-Based Services Offer Advantages, Such as Low Cost, Rapid Scalability, Easy Access, & Uninterrupted Service

Growth Drivers
  • Growth in the Demand for Tracking Player Performance & Fitness Variables, Such As Heartbeat, Speed, & Acceleration.
  • Need for Taking Improved Decisions to Gain an Advantage Over Competitors as Well as for Developing Strategies Related to Matches

Roadblocks
  • Privacy Concerns Associated With Cloud-Based Services

Opportunities
  • With the Increasing Adoption of Cloud-Based Sports Analytics, There are Opportunities for Adoption & Involvement in Fantasy Gaming
  • There are Growing Prospects for Cloud-Based Sports Analytics, Owing to the Rise in the Usage of Wearable Devices in the Sports Industry

Challenges
  • The Security Concerns Linked With the Cloud-Based Sports Analytics May Pose a Challenge


Competitive Landscape:
The Market for the Cloud-Based Sports Analytics is Fragmented with the Presence of Many Players. Owing to Advancements in Sports Tracking technologies, There are Growing Prospects for the New Players to Enter the Market
Some of the key players profiled in the report are EXL (United States), IBM (United States), Catapult (United States), GlobalStep (United States), SportsSource Analytics (United Kingdom), Experfy (United States), IceBergs Sports (Canada), Chyronhego (United States), Stats Perform (United States) and Exasol (Germany). Additionally, following companies can also be profiled that are part of our coverage like Tableau Software (United States), SAS Institute (United States), TruMedia Network (United States), DataArt (United States), HCL (India), Orreco (Ireland), Advanced Sports Analytics (United States), Qualitas Global (India), Physimax Technologies (United States) and Zebra Technologies (United States). Analyst at AMA Research see United States Players to retain maximum share of Global Cloud-based Sports Analytics market by 2026. Considering Market by Component, the sub-segment i.e. Solutions will boost the Cloud-based Sports Analytics market. Considering Market by Sports Type, the sub-segment i.e. Individual Sports will boost the Cloud-based Sports Analytics market.

What Can be Explored with the Cloud-based Sports Analytics Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Cloud-based Sports Analytics Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Cloud-based Sports Analytics
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Cloud-based Sports Analytics market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Cloud-based Sports Analytics market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Sports Analytics Companies, Investors, Regulatory & Government Bodies and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • On-Field
  • Off-Field
By Application
  • Performance Analysis {Team Performance Analysis, Competitor Analysis, & Management}
  • Player Fitness &Safety
  • Player and Team Valuation
  • Fan Engagement
  • Broadcast Management
By Component
  • Solutions
  • Services

By Sports Type
  • Individual Sports
  • Team Sports

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. Growth in the Demand for Tracking Player Performance & Fitness Variables, Such As Heartbeat, Speed, & Acceleration.
      • 3.2.2. Need for Taking Improved Decisions to Gain an Advantage Over Competitors as Well as for Developing Strategies Related to Matches
    • 3.3. Market Challenges
      • 3.3.1. The Security Concerns Linked With the Cloud-Based Sports Analytics May Pose a Challenge
    • 3.4. Market Trends
      • 3.4.1. Teams & Clubs Partnering With Analytics Companies
  • 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 Cloud-based Sports Analytics, by Type, Application, Component, Sports Type and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Cloud-based Sports Analytics (Value)
      • 5.2.1. Global Cloud-based Sports Analytics by: Type (Value)
        • 5.2.1.1. On-Field
        • 5.2.1.2. Off-Field
      • 5.2.2. Global Cloud-based Sports Analytics by: Application (Value)
        • 5.2.2.1. Performance Analysis {Team Performance Analysis, Competitor Analysis, & Management}
        • 5.2.2.2. Player Fitness &Safety
        • 5.2.2.3. Player and Team Valuation
        • 5.2.2.4. Fan Engagement
        • 5.2.2.5. Broadcast Management
      • 5.2.3. Global Cloud-based Sports Analytics by: Component (Value)
        • 5.2.3.1. Solutions
        • 5.2.3.2. Services
      • 5.2.4. Global Cloud-based Sports Analytics by: Sports Type (Value)
        • 5.2.4.1. Individual Sports
        • 5.2.4.2. Team Sports
      • 5.2.5. Global Cloud-based Sports Analytics 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. Cloud-based Sports Analytics: 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. EXL (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 (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. Catapult (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. GlobalStep (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. SportsSource Analytics (United Kingdom)
        • 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. Experfy (United States)
        • 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. IceBergs Sports (Canada)
        • 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. Chyronhego (United States)
        • 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. Stats Perform (United States)
        • 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. Exasol (Germany)
        • 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 Cloud-based Sports Analytics Sale, by Type, Application, Component, Sports Type and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Cloud-based Sports Analytics (Value)
      • 7.2.1. Global Cloud-based Sports Analytics by: Type (Value)
        • 7.2.1.1. On-Field
        • 7.2.1.2. Off-Field
      • 7.2.2. Global Cloud-based Sports Analytics by: Application (Value)
        • 7.2.2.1. Performance Analysis {Team Performance Analysis, Competitor Analysis, & Management}
        • 7.2.2.2. Player Fitness &Safety
        • 7.2.2.3. Player and Team Valuation
        • 7.2.2.4. Fan Engagement
        • 7.2.2.5. Broadcast Management
      • 7.2.3. Global Cloud-based Sports Analytics by: Component (Value)
        • 7.2.3.1. Solutions
        • 7.2.3.2. Services
      • 7.2.4. Global Cloud-based Sports Analytics by: Sports Type (Value)
        • 7.2.4.1. Individual Sports
        • 7.2.4.2. Team Sports
      • 7.2.5. Global Cloud-based Sports Analytics 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. Cloud-based Sports Analytics: by Type(USD Million)
  • Table 2. Cloud-based Sports Analytics On-Field , by Region USD Million (2015-2020)
  • Table 3. Cloud-based Sports Analytics Off-Field , by Region USD Million (2015-2020)
  • Table 4. Cloud-based Sports Analytics: by Application(USD Million)
  • Table 5. Cloud-based Sports Analytics Performance Analysis {Team Performance Analysis, Competitor Analysis, & Management} , by Region USD Million (2015-2020)
  • Table 6. Cloud-based Sports Analytics Player Fitness &Safety , by Region USD Million (2015-2020)
  • Table 7. Cloud-based Sports Analytics Player and Team Valuation , by Region USD Million (2015-2020)
  • Table 8. Cloud-based Sports Analytics Fan Engagement , by Region USD Million (2015-2020)
  • Table 9. Cloud-based Sports Analytics Broadcast Management , by Region USD Million (2015-2020)
  • Table 10. Cloud-based Sports Analytics: by Component(USD Million)
  • Table 11. Cloud-based Sports Analytics Solutions , by Region USD Million (2015-2020)
  • Table 12. Cloud-based Sports Analytics Services , by Region USD Million (2015-2020)
  • Table 13. Cloud-based Sports Analytics: by Sports Type(USD Million)
  • Table 14. Cloud-based Sports Analytics Individual Sports , by Region USD Million (2015-2020)
  • Table 15. Cloud-based Sports Analytics Team Sports , by Region USD Million (2015-2020)
  • Table 16. South America Cloud-based Sports Analytics, by Country USD Million (2015-2020)
  • Table 17. South America Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 18. South America Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 19. South America Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 20. South America Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 21. Brazil Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 22. Brazil Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 23. Brazil Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 24. Brazil Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 25. Argentina Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 26. Argentina Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 27. Argentina Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 28. Argentina Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 29. Rest of South America Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 30. Rest of South America Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 31. Rest of South America Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 32. Rest of South America Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 33. Asia Pacific Cloud-based Sports Analytics, by Country USD Million (2015-2020)
  • Table 34. Asia Pacific Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 35. Asia Pacific Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 36. Asia Pacific Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 37. Asia Pacific Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 38. China Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 39. China Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 40. China Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 41. China Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 42. Japan Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 43. Japan Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 44. Japan Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 45. Japan Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 46. India Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 47. India Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 48. India Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 49. India Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 50. South Korea Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 51. South Korea Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 52. South Korea Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 53. South Korea Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 54. Taiwan Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 55. Taiwan Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 56. Taiwan Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 57. Taiwan Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 58. Australia Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 59. Australia Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 60. Australia Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 61. Australia Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 62. Rest of Asia-Pacific Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 63. Rest of Asia-Pacific Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 64. Rest of Asia-Pacific Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 66. Europe Cloud-based Sports Analytics, by Country USD Million (2015-2020)
  • Table 67. Europe Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 68. Europe Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 69. Europe Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 70. Europe Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 71. Germany Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 72. Germany Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 73. Germany Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 74. Germany Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 75. France Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 76. France Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 77. France Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 78. France Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 79. Italy Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 80. Italy Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 81. Italy Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 82. Italy Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 83. United Kingdom Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 84. United Kingdom Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 85. United Kingdom Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 86. United Kingdom Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 87. Netherlands Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 88. Netherlands Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 89. Netherlands Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 90. Netherlands Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 91. Rest of Europe Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 92. Rest of Europe Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 93. Rest of Europe Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 94. Rest of Europe Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 95. MEA Cloud-based Sports Analytics, by Country USD Million (2015-2020)
  • Table 96. MEA Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 97. MEA Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 98. MEA Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 99. MEA Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 100. Middle East Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 101. Middle East Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 102. Middle East Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 103. Middle East Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 104. Africa Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 105. Africa Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 106. Africa Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 107. Africa Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 108. North America Cloud-based Sports Analytics, by Country USD Million (2015-2020)
  • Table 109. North America Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 110. North America Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 111. North America Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 112. North America Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 113. United States Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 114. United States Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 115. United States Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 116. United States Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 117. Canada Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 118. Canada Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 119. Canada Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 120. Canada Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 121. Mexico Cloud-based Sports Analytics, by Type USD Million (2015-2020)
  • Table 122. Mexico Cloud-based Sports Analytics, by Application USD Million (2015-2020)
  • Table 123. Mexico Cloud-based Sports Analytics, by Component USD Million (2015-2020)
  • Table 124. Mexico Cloud-based Sports Analytics, by Sports Type USD Million (2015-2020)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Cloud-based Sports Analytics: by Type(USD Million)
  • Table 136. Cloud-based Sports Analytics On-Field , by Region USD Million (2021-2026)
  • Table 137. Cloud-based Sports Analytics Off-Field , by Region USD Million (2021-2026)
  • Table 138. Cloud-based Sports Analytics: by Application(USD Million)
  • Table 139. Cloud-based Sports Analytics Performance Analysis {Team Performance Analysis, Competitor Analysis, & Management} , by Region USD Million (2021-2026)
  • Table 140. Cloud-based Sports Analytics Player Fitness &Safety , by Region USD Million (2021-2026)
  • Table 141. Cloud-based Sports Analytics Player and Team Valuation , by Region USD Million (2021-2026)
  • Table 142. Cloud-based Sports Analytics Fan Engagement , by Region USD Million (2021-2026)
  • Table 143. Cloud-based Sports Analytics Broadcast Management , by Region USD Million (2021-2026)
  • Table 144. Cloud-based Sports Analytics: by Component(USD Million)
  • Table 145. Cloud-based Sports Analytics Solutions , by Region USD Million (2021-2026)
  • Table 146. Cloud-based Sports Analytics Services , by Region USD Million (2021-2026)
  • Table 147. Cloud-based Sports Analytics: by Sports Type(USD Million)
  • Table 148. Cloud-based Sports Analytics Individual Sports , by Region USD Million (2021-2026)
  • Table 149. Cloud-based Sports Analytics Team Sports , by Region USD Million (2021-2026)
  • Table 150. South America Cloud-based Sports Analytics, by Country USD Million (2021-2026)
  • Table 151. South America Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 152. South America Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 153. South America Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 154. South America Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 155. Brazil Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 156. Brazil Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 157. Brazil Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 158. Brazil Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 159. Argentina Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 160. Argentina Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 161. Argentina Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 162. Argentina Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 163. Rest of South America Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 164. Rest of South America Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 165. Rest of South America Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 166. Rest of South America Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 167. Asia Pacific Cloud-based Sports Analytics, by Country USD Million (2021-2026)
  • Table 168. Asia Pacific Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 169. Asia Pacific Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 170. Asia Pacific Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 171. Asia Pacific Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 172. China Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 173. China Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 174. China Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 175. China Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 176. Japan Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 177. Japan Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 178. Japan Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 179. Japan Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 180. India Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 181. India Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 182. India Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 183. India Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 184. South Korea Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 185. South Korea Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 186. South Korea Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 187. South Korea Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 188. Taiwan Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 189. Taiwan Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 190. Taiwan Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 191. Taiwan Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 192. Australia Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 193. Australia Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 194. Australia Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 195. Australia Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 196. Rest of Asia-Pacific Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 197. Rest of Asia-Pacific Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 198. Rest of Asia-Pacific Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 199. Rest of Asia-Pacific Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 200. Europe Cloud-based Sports Analytics, by Country USD Million (2021-2026)
  • Table 201. Europe Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 202. Europe Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 203. Europe Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 204. Europe Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 205. Germany Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 206. Germany Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 207. Germany Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 208. Germany Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 209. France Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 210. France Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 211. France Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 212. France Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 213. Italy Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 214. Italy Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 215. Italy Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 216. Italy Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 217. United Kingdom Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 218. United Kingdom Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 219. United Kingdom Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 220. United Kingdom Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 221. Netherlands Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 222. Netherlands Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 223. Netherlands Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 224. Netherlands Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 225. Rest of Europe Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 226. Rest of Europe Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 227. Rest of Europe Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 228. Rest of Europe Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 229. MEA Cloud-based Sports Analytics, by Country USD Million (2021-2026)
  • Table 230. MEA Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 231. MEA Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 232. MEA Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 233. MEA Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 234. Middle East Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 235. Middle East Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 236. Middle East Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 237. Middle East Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 238. Africa Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 239. Africa Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 240. Africa Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 241. Africa Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 242. North America Cloud-based Sports Analytics, by Country USD Million (2021-2026)
  • Table 243. North America Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 244. North America Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 245. North America Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 246. North America Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 247. United States Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 248. United States Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 249. United States Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 250. United States Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 251. Canada Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 252. Canada Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 253. Canada Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 254. Canada Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 255. Mexico Cloud-based Sports Analytics, by Type USD Million (2021-2026)
  • Table 256. Mexico Cloud-based Sports Analytics, by Application USD Million (2021-2026)
  • Table 257. Mexico Cloud-based Sports Analytics, by Component USD Million (2021-2026)
  • Table 258. Mexico Cloud-based Sports Analytics, by Sports Type USD Million (2021-2026)
  • Table 259. Research Programs/Design for This Report
  • Table 260. Key Data Information from Secondary Sources
  • Table 261. 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 Cloud-based Sports Analytics: by Type USD Million (2015-2020)
  • Figure 5. Global Cloud-based Sports Analytics: by Application USD Million (2015-2020)
  • Figure 6. Global Cloud-based Sports Analytics: by Component USD Million (2015-2020)
  • Figure 7. Global Cloud-based Sports Analytics: by Sports Type USD Million (2015-2020)
  • Figure 8. South America Cloud-based Sports Analytics Share (%), by Country
  • Figure 9. Asia Pacific Cloud-based Sports Analytics Share (%), by Country
  • Figure 10. Europe Cloud-based Sports Analytics Share (%), by Country
  • Figure 11. MEA Cloud-based Sports Analytics Share (%), by Country
  • Figure 12. North America Cloud-based Sports Analytics Share (%), by Country
  • Figure 13. Global Cloud-based Sports Analytics share by Players 2020 (%)
  • Figure 14. Global Cloud-based Sports Analytics share by Players (Top 3) 2020(%)
  • Figure 15. Global Cloud-based Sports Analytics share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. EXL (United States) Revenue, Net Income and Gross profit
  • Figure 18. EXL (United States) Revenue: by Geography 2020
  • Figure 19. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM (United States) Revenue: by Geography 2020
  • Figure 21. Catapult (United States) Revenue, Net Income and Gross profit
  • Figure 22. Catapult (United States) Revenue: by Geography 2020
  • Figure 23. GlobalStep (United States) Revenue, Net Income and Gross profit
  • Figure 24. GlobalStep (United States) Revenue: by Geography 2020
  • Figure 25. SportsSource Analytics (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. SportsSource Analytics (United Kingdom) Revenue: by Geography 2020
  • Figure 27. Experfy (United States) Revenue, Net Income and Gross profit
  • Figure 28. Experfy (United States) Revenue: by Geography 2020
  • Figure 29. IceBergs Sports (Canada) Revenue, Net Income and Gross profit
  • Figure 30. IceBergs Sports (Canada) Revenue: by Geography 2020
  • Figure 31. Chyronhego (United States) Revenue, Net Income and Gross profit
  • Figure 32. Chyronhego (United States) Revenue: by Geography 2020
  • Figure 33. Stats Perform (United States) Revenue, Net Income and Gross profit
  • Figure 34. Stats Perform (United States) Revenue: by Geography 2020
  • Figure 35. Exasol (Germany) Revenue, Net Income and Gross profit
  • Figure 36. Exasol (Germany) Revenue: by Geography 2020
  • Figure 37. Global Cloud-based Sports Analytics: by Type USD Million (2021-2026)
  • Figure 38. Global Cloud-based Sports Analytics: by Application USD Million (2021-2026)
  • Figure 39. Global Cloud-based Sports Analytics: by Component USD Million (2021-2026)
  • Figure 40. Global Cloud-based Sports Analytics: by Sports Type USD Million (2021-2026)
  • Figure 41. South America Cloud-based Sports Analytics Share (%), by Country
  • Figure 42. Asia Pacific Cloud-based Sports Analytics Share (%), by Country
  • Figure 43. Europe Cloud-based Sports Analytics Share (%), by Country
  • Figure 44. MEA Cloud-based Sports Analytics Share (%), by Country
  • Figure 45. North America Cloud-based Sports Analytics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • EXL (United States)
  • IBM (United States)
  • Catapult (United States)
  • GlobalStep (United States)
  • SportsSource Analytics (United Kingdom)
  • Experfy (United States)
  • IceBergs Sports (Canada)
  • Chyronhego (United States)
  • Stats Perform (United States)
  • Exasol (Germany)
Additional players considered in the study are as follows:
Tableau Software (United States) , SAS Institute (United States) , TruMedia Network (United States) , DataArt (United States) , HCL (India) , Orreco (Ireland) , Advanced Sports Analytics (United States) , Qualitas Global (India) , Physimax Technologies (United States) , Zebra Technologies (United States)
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Key Highlights of Report


Oct 2021 245 Pages 80 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Cloud-based Sports Analytics Market Quantitative research analysis
Global Cloud-based Sports Analytics Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The Cloud-based Sports Analytics market is expected to see a CAGR of % during projected year 2020 to 2026.
Top performing companies in the Global Cloud-based Sports Analytics market are EXL (United States), IBM (United States), Catapult (United States), GlobalStep (United States), SportsSource Analytics (United Kingdom), Experfy (United States), IceBergs Sports (Canada), Chyronhego (United States), Stats Perform (United States) and Exasol (Germany), to name a few.
"Teams & Clubs Partnering With Analytics Companies" is seen as one of major influencing trends for Cloud-based Sports Analytics Market during projected period 2020-2026.

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