Global Sports Analytics Market

Sports Analytics Comprehensive Study by Type (On-field Analytics, Off-field Analytics), Application (Video Analysis, Performance Analysis, Player and Ball Path Optimization, Injury & Health Assessment, Tactical Analysis, Fan Engagement Analysis, Venue Optimization, Others), Deployment (Cloud, On-Premise), End User (Sports Media, Sports League/ Teams, Sponsor Brands, Others), Sports Type (Soccer, Baseball, Basketball, Cricket, Hockey, Football, Others) Players and Region - Global Market Outlook to 2028

Sports Analytics Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Sports Analytics
Sports analytics technique collects various strategies as well as historical statistics to provide a competitive benefit to teams or individuals. Sports analytics helps to search innovative technologies in sports, analyze athlete performance, predict fan's social responses towards the teams or players as well as analyse the competition. In addition to this not only team players but also coaches use this analysis to make feasible decisions as well as strategies for the performance improvement. Also, fans get the information about teams as well as their respective performance, injuries of players and training.

AttributesDetails
Study Period2018-2028
Base Year2022
High Growth MarketAsia Pacific
UnitValue (USD Million)


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analyst at AMA Research estimates that United States and United Kingdom Players will contribute the maximum growth to Global Sports Analytics market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), Oracle (United States), SAS Institute (United States), Tableau Software,Inc. (United States), EDGE10 (United Kingdom), Blue Star Sports (United Kingdom), Opta sports (United Kingdom), SAP (Germany), Football Raters (Switzerland) and Sportingmindz Technology Pvt. Ltd. (India) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Trumedia Networks (United States), Sport:80 (United Kingdom), Prozone Sports Ltd.(United Kingdom), Catapult Group International Ltd (Australia) and Beverly, MA (United States).

Segmentation Overview
AMA Research has segmented the market of Global Sports Analytics market by Type (On-field Analytics and Off-field Analytics), Application (Video Analysis, Performance Analysis, Player and Ball Path Optimization, Injury & Health Assessment, Tactical Analysis, Fan Engagement Analysis, Venue Optimization and Others) and Region.



On the basis of geography, the market of Sports Analytics has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Southeast Asia, 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 2022. Europe, on the other hand, stood as the second largest market due to the presence of key companies in the region and high technological advancement. If we see Market by Deployment, the sub-segment i.e. Cloud will boost the Sports Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Sports Media will boost the Sports Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Sports Type, the sub-segment i.e. Soccer will boost the Sports Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Heighten Viewership of Domestic League, Increasing Dependency due to Getting Real-time Access of Correlated Data and Introduction of Smartphones

Market Growth Drivers:
Gain Competitive Edge, Increasing Need Prognostic Information and Capability to Expand Winning Ratios

Challenges:
Lack of Skilled Professionals

Restraints:
High Budget for Sport Analytics and Data Privacy and Security Issues

Opportunities:
Rising Acceptance of Cloud Base Solutions

In April 2023, Dentsu, UK UK-based media firm launched Sports Analytics to bring together the company’s research, data, and analytics capabilities for the sports industry. Dentsu sports analytics will help brands understand fans and audiences’ behavior, and measure the impact of sponsorship and media investment.


Key Target Audience
Sports Analytics Application Developers, Sport Analytics Application Distributes, Sports Organisation, Government and private Research Organisation and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • On-field Analytics
  • Off-field Analytics
By Application
  • Video Analysis
  • Performance Analysis
  • Player and Ball Path Optimization
  • Injury & Health Assessment
  • Tactical Analysis
  • Fan Engagement Analysis
  • Venue Optimization
  • Others
By Deployment
  • Cloud
  • On-Premise

By End User
  • Sports Media
  • Sports League/ Teams
  • Sponsor Brands
  • Others

By Sports Type
  • Soccer
  • Baseball
  • Basketball
  • Cricket
  • Hockey
  • Football
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • 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. Gain Competitive Edge
      • 3.2.2. Increasing Need Prognostic Information
      • 3.2.3. Capability to Expand Winning Ratios
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Professionals
    • 3.4. Market Trends
      • 3.4.1. Heighten Viewership of Domestic League
      • 3.4.2. Increasing Dependency due to Getting Real-time Access of Correlated Data
      • 3.4.3. Introduction of Smartphones
  • 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 Analytics, by Type, Application, Deployment, End User, Sports Type and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Sports Analytics (Value)
      • 5.2.1. Global Sports Analytics by: Type (Value)
        • 5.2.1.1. On-field Analytics
        • 5.2.1.2. Off-field Analytics
      • 5.2.2. Global Sports Analytics by: Application (Value)
        • 5.2.2.1. Video Analysis
        • 5.2.2.2. Performance Analysis
        • 5.2.2.3. Player and Ball Path Optimization
        • 5.2.2.4. Injury & Health Assessment
        • 5.2.2.5. Tactical Analysis
        • 5.2.2.6. Fan Engagement Analysis
        • 5.2.2.7. Venue Optimization
        • 5.2.2.8. Others
      • 5.2.3. Global Sports Analytics by: Deployment (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-Premise
      • 5.2.4. Global Sports Analytics by: End User (Value)
        • 5.2.4.1. Sports Media
        • 5.2.4.2. Sports League/ Teams
        • 5.2.4.3. Sponsor Brands
        • 5.2.4.4. Others
      • 5.2.5. Global Sports Analytics by: Sports Type (Value)
        • 5.2.5.1. Soccer
        • 5.2.5.2. Baseball
        • 5.2.5.3. Basketball
        • 5.2.5.4. Cricket
        • 5.2.5.5. Hockey
        • 5.2.5.6. Football
        • 5.2.5.7. Others
      • 5.2.6. Global Sports Analytics Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Southeast Asia
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (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. Oracle (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. SAS Institute (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. Tableau Software,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. EDGE10 (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. Blue Star Sports (United Kingdom)
        • 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. Opta sports (United Kingdom)
        • 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. SAP (Germany)
        • 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. Football Raters (Switzerland)
        • 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. Sportingmindz Technology Pvt. Ltd. (India)
        • 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 Analytics Sale, by Type, Application, Deployment, End User, Sports Type and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Sports Analytics (Value)
      • 7.2.1. Global Sports Analytics by: Type (Value)
        • 7.2.1.1. On-field Analytics
        • 7.2.1.2. Off-field Analytics
      • 7.2.2. Global Sports Analytics by: Application (Value)
        • 7.2.2.1. Video Analysis
        • 7.2.2.2. Performance Analysis
        • 7.2.2.3. Player and Ball Path Optimization
        • 7.2.2.4. Injury & Health Assessment
        • 7.2.2.5. Tactical Analysis
        • 7.2.2.6. Fan Engagement Analysis
        • 7.2.2.7. Venue Optimization
        • 7.2.2.8. Others
      • 7.2.3. Global Sports Analytics by: Deployment (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-Premise
      • 7.2.4. Global Sports Analytics by: End User (Value)
        • 7.2.4.1. Sports Media
        • 7.2.4.2. Sports League/ Teams
        • 7.2.4.3. Sponsor Brands
        • 7.2.4.4. Others
      • 7.2.5. Global Sports Analytics by: Sports Type (Value)
        • 7.2.5.1. Soccer
        • 7.2.5.2. Baseball
        • 7.2.5.3. Basketball
        • 7.2.5.4. Cricket
        • 7.2.5.5. Hockey
        • 7.2.5.6. Football
        • 7.2.5.7. Others
      • 7.2.6. Global Sports Analytics Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Southeast Asia
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. 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 Analytics: by Type(USD Million)
  • Table 2. Sports Analytics On-field Analytics , by Region USD Million (2017-2022)
  • Table 3. Sports Analytics Off-field Analytics , by Region USD Million (2017-2022)
  • Table 4. Sports Analytics: by Application(USD Million)
  • Table 5. Sports Analytics Video Analysis , by Region USD Million (2017-2022)
  • Table 6. Sports Analytics Performance Analysis , by Region USD Million (2017-2022)
  • Table 7. Sports Analytics Player and Ball Path Optimization , by Region USD Million (2017-2022)
  • Table 8. Sports Analytics Injury & Health Assessment , by Region USD Million (2017-2022)
  • Table 9. Sports Analytics Tactical Analysis , by Region USD Million (2017-2022)
  • Table 10. Sports Analytics Fan Engagement Analysis , by Region USD Million (2017-2022)
  • Table 11. Sports Analytics Venue Optimization , by Region USD Million (2017-2022)
  • Table 12. Sports Analytics Others , by Region USD Million (2017-2022)
  • Table 13. Sports Analytics: by Deployment(USD Million)
  • Table 14. Sports Analytics Cloud , by Region USD Million (2017-2022)
  • Table 15. Sports Analytics On-Premise , by Region USD Million (2017-2022)
  • Table 16. Sports Analytics: by End User(USD Million)
  • Table 17. Sports Analytics Sports Media , by Region USD Million (2017-2022)
  • Table 18. Sports Analytics Sports League/ Teams , by Region USD Million (2017-2022)
  • Table 19. Sports Analytics Sponsor Brands , by Region USD Million (2017-2022)
  • Table 20. Sports Analytics Others , by Region USD Million (2017-2022)
  • Table 21. Sports Analytics: by Sports Type(USD Million)
  • Table 22. Sports Analytics Soccer , by Region USD Million (2017-2022)
  • Table 23. Sports Analytics Baseball , by Region USD Million (2017-2022)
  • Table 24. Sports Analytics Basketball , by Region USD Million (2017-2022)
  • Table 25. Sports Analytics Cricket , by Region USD Million (2017-2022)
  • Table 26. Sports Analytics Hockey , by Region USD Million (2017-2022)
  • Table 27. Sports Analytics Football , by Region USD Million (2017-2022)
  • Table 28. Sports Analytics Others , by Region USD Million (2017-2022)
  • Table 29. South America Sports Analytics, by Country USD Million (2017-2022)
  • Table 30. South America Sports Analytics, by Type USD Million (2017-2022)
  • Table 31. South America Sports Analytics, by Application USD Million (2017-2022)
  • Table 32. South America Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 33. South America Sports Analytics, by End User USD Million (2017-2022)
  • Table 34. South America Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 35. Brazil Sports Analytics, by Type USD Million (2017-2022)
  • Table 36. Brazil Sports Analytics, by Application USD Million (2017-2022)
  • Table 37. Brazil Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 38. Brazil Sports Analytics, by End User USD Million (2017-2022)
  • Table 39. Brazil Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 40. Argentina Sports Analytics, by Type USD Million (2017-2022)
  • Table 41. Argentina Sports Analytics, by Application USD Million (2017-2022)
  • Table 42. Argentina Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 43. Argentina Sports Analytics, by End User USD Million (2017-2022)
  • Table 44. Argentina Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 45. Rest of South America Sports Analytics, by Type USD Million (2017-2022)
  • Table 46. Rest of South America Sports Analytics, by Application USD Million (2017-2022)
  • Table 47. Rest of South America Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 48. Rest of South America Sports Analytics, by End User USD Million (2017-2022)
  • Table 49. Rest of South America Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 50. Asia Pacific Sports Analytics, by Country USD Million (2017-2022)
  • Table 51. Asia Pacific Sports Analytics, by Type USD Million (2017-2022)
  • Table 52. Asia Pacific Sports Analytics, by Application USD Million (2017-2022)
  • Table 53. Asia Pacific Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 54. Asia Pacific Sports Analytics, by End User USD Million (2017-2022)
  • Table 55. Asia Pacific Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 56. China Sports Analytics, by Type USD Million (2017-2022)
  • Table 57. China Sports Analytics, by Application USD Million (2017-2022)
  • Table 58. China Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 59. China Sports Analytics, by End User USD Million (2017-2022)
  • Table 60. China Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 61. Japan Sports Analytics, by Type USD Million (2017-2022)
  • Table 62. Japan Sports Analytics, by Application USD Million (2017-2022)
  • Table 63. Japan Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 64. Japan Sports Analytics, by End User USD Million (2017-2022)
  • Table 65. Japan Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 66. India Sports Analytics, by Type USD Million (2017-2022)
  • Table 67. India Sports Analytics, by Application USD Million (2017-2022)
  • Table 68. India Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 69. India Sports Analytics, by End User USD Million (2017-2022)
  • Table 70. India Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 71. South Korea Sports Analytics, by Type USD Million (2017-2022)
  • Table 72. South Korea Sports Analytics, by Application USD Million (2017-2022)
  • Table 73. South Korea Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 74. South Korea Sports Analytics, by End User USD Million (2017-2022)
  • Table 75. South Korea Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 76. Southeast Asia Sports Analytics, by Type USD Million (2017-2022)
  • Table 77. Southeast Asia Sports Analytics, by Application USD Million (2017-2022)
  • Table 78. Southeast Asia Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 79. Southeast Asia Sports Analytics, by End User USD Million (2017-2022)
  • Table 80. Southeast Asia Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 81. Australia Sports Analytics, by Type USD Million (2017-2022)
  • Table 82. Australia Sports Analytics, by Application USD Million (2017-2022)
  • Table 83. Australia Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 84. Australia Sports Analytics, by End User USD Million (2017-2022)
  • Table 85. Australia Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 86. Rest of Asia-Pacific Sports Analytics, by Type USD Million (2017-2022)
  • Table 87. Rest of Asia-Pacific Sports Analytics, by Application USD Million (2017-2022)
  • Table 88. Rest of Asia-Pacific Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 89. Rest of Asia-Pacific Sports Analytics, by End User USD Million (2017-2022)
  • Table 90. Rest of Asia-Pacific Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 91. Europe Sports Analytics, by Country USD Million (2017-2022)
  • Table 92. Europe Sports Analytics, by Type USD Million (2017-2022)
  • Table 93. Europe Sports Analytics, by Application USD Million (2017-2022)
  • Table 94. Europe Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 95. Europe Sports Analytics, by End User USD Million (2017-2022)
  • Table 96. Europe Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 97. Germany Sports Analytics, by Type USD Million (2017-2022)
  • Table 98. Germany Sports Analytics, by Application USD Million (2017-2022)
  • Table 99. Germany Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 100. Germany Sports Analytics, by End User USD Million (2017-2022)
  • Table 101. Germany Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 102. France Sports Analytics, by Type USD Million (2017-2022)
  • Table 103. France Sports Analytics, by Application USD Million (2017-2022)
  • Table 104. France Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 105. France Sports Analytics, by End User USD Million (2017-2022)
  • Table 106. France Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 107. Italy Sports Analytics, by Type USD Million (2017-2022)
  • Table 108. Italy Sports Analytics, by Application USD Million (2017-2022)
  • Table 109. Italy Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 110. Italy Sports Analytics, by End User USD Million (2017-2022)
  • Table 111. Italy Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 112. United Kingdom Sports Analytics, by Type USD Million (2017-2022)
  • Table 113. United Kingdom Sports Analytics, by Application USD Million (2017-2022)
  • Table 114. United Kingdom Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 115. United Kingdom Sports Analytics, by End User USD Million (2017-2022)
  • Table 116. United Kingdom Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 117. Netherlands Sports Analytics, by Type USD Million (2017-2022)
  • Table 118. Netherlands Sports Analytics, by Application USD Million (2017-2022)
  • Table 119. Netherlands Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 120. Netherlands Sports Analytics, by End User USD Million (2017-2022)
  • Table 121. Netherlands Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 122. Rest of Europe Sports Analytics, by Type USD Million (2017-2022)
  • Table 123. Rest of Europe Sports Analytics, by Application USD Million (2017-2022)
  • Table 124. Rest of Europe Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 125. Rest of Europe Sports Analytics, by End User USD Million (2017-2022)
  • Table 126. Rest of Europe Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 127. MEA Sports Analytics, by Country USD Million (2017-2022)
  • Table 128. MEA Sports Analytics, by Type USD Million (2017-2022)
  • Table 129. MEA Sports Analytics, by Application USD Million (2017-2022)
  • Table 130. MEA Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 131. MEA Sports Analytics, by End User USD Million (2017-2022)
  • Table 132. MEA Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 133. Middle East Sports Analytics, by Type USD Million (2017-2022)
  • Table 134. Middle East Sports Analytics, by Application USD Million (2017-2022)
  • Table 135. Middle East Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 136. Middle East Sports Analytics, by End User USD Million (2017-2022)
  • Table 137. Middle East Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 138. Africa Sports Analytics, by Type USD Million (2017-2022)
  • Table 139. Africa Sports Analytics, by Application USD Million (2017-2022)
  • Table 140. Africa Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 141. Africa Sports Analytics, by End User USD Million (2017-2022)
  • Table 142. Africa Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 143. North America Sports Analytics, by Country USD Million (2017-2022)
  • Table 144. North America Sports Analytics, by Type USD Million (2017-2022)
  • Table 145. North America Sports Analytics, by Application USD Million (2017-2022)
  • Table 146. North America Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 147. North America Sports Analytics, by End User USD Million (2017-2022)
  • Table 148. North America Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 149. United States Sports Analytics, by Type USD Million (2017-2022)
  • Table 150. United States Sports Analytics, by Application USD Million (2017-2022)
  • Table 151. United States Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 152. United States Sports Analytics, by End User USD Million (2017-2022)
  • Table 153. United States Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 154. Canada Sports Analytics, by Type USD Million (2017-2022)
  • Table 155. Canada Sports Analytics, by Application USD Million (2017-2022)
  • Table 156. Canada Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 157. Canada Sports Analytics, by End User USD Million (2017-2022)
  • Table 158. Canada Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 159. Mexico Sports Analytics, by Type USD Million (2017-2022)
  • Table 160. Mexico Sports Analytics, by Application USD Million (2017-2022)
  • Table 161. Mexico Sports Analytics, by Deployment USD Million (2017-2022)
  • Table 162. Mexico Sports Analytics, by End User USD Million (2017-2022)
  • Table 163. Mexico Sports Analytics, by Sports Type USD Million (2017-2022)
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Figure 24. Tableau Software,Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. Tableau Software,Inc. (United States) Revenue: by Geography 2022
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Company Basic Information, Sales Area and Its Competitors
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Company Basic Information, Sales Area and Its Competitors
  • Table 174. Sports Analytics: by Type(USD Million)
  • Table 175. Sports Analytics On-field Analytics , by Region USD Million (2023-2028)
  • Table 176. Sports Analytics Off-field Analytics , by Region USD Million (2023-2028)
  • Table 177. Sports Analytics: by Application(USD Million)
  • Table 178. Sports Analytics Video Analysis , by Region USD Million (2023-2028)
  • Table 179. Sports Analytics Performance Analysis , by Region USD Million (2023-2028)
  • Table 180. Sports Analytics Player and Ball Path Optimization , by Region USD Million (2023-2028)
  • Table 181. Sports Analytics Injury & Health Assessment , by Region USD Million (2023-2028)
  • Table 182. Sports Analytics Tactical Analysis , by Region USD Million (2023-2028)
  • Table 183. Sports Analytics Fan Engagement Analysis , by Region USD Million (2023-2028)
  • Table 184. Sports Analytics Venue Optimization , by Region USD Million (2023-2028)
  • Table 185. Sports Analytics Others , by Region USD Million (2023-2028)
  • Table 186. Sports Analytics: by Deployment(USD Million)
  • Table 187. Sports Analytics Cloud , by Region USD Million (2023-2028)
  • Table 188. Sports Analytics On-Premise , by Region USD Million (2023-2028)
  • Table 189. Sports Analytics: by End User(USD Million)
  • Table 190. Sports Analytics Sports Media , by Region USD Million (2023-2028)
  • Table 191. Sports Analytics Sports League/ Teams , by Region USD Million (2023-2028)
  • Table 192. Sports Analytics Sponsor Brands , by Region USD Million (2023-2028)
  • Table 193. Sports Analytics Others , by Region USD Million (2023-2028)
  • Table 194. Sports Analytics: by Sports Type(USD Million)
  • Table 195. Sports Analytics Soccer , by Region USD Million (2023-2028)
  • Table 196. Sports Analytics Baseball , by Region USD Million (2023-2028)
  • Table 197. Sports Analytics Basketball , by Region USD Million (2023-2028)
  • Table 198. Sports Analytics Cricket , by Region USD Million (2023-2028)
  • Table 199. Sports Analytics Hockey , by Region USD Million (2023-2028)
  • Table 200. Sports Analytics Football , by Region USD Million (2023-2028)
  • Table 201. Sports Analytics Others , by Region USD Million (2023-2028)
  • Table 202. South America Sports Analytics, by Country USD Million (2023-2028)
  • Table 203. South America Sports Analytics, by Type USD Million (2023-2028)
  • Table 204. South America Sports Analytics, by Application USD Million (2023-2028)
  • Table 205. South America Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 206. South America Sports Analytics, by End User USD Million (2023-2028)
  • Table 207. South America Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 208. Brazil Sports Analytics, by Type USD Million (2023-2028)
  • Table 209. Brazil Sports Analytics, by Application USD Million (2023-2028)
  • Table 210. Brazil Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 211. Brazil Sports Analytics, by End User USD Million (2023-2028)
  • Table 212. Brazil Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 213. Argentina Sports Analytics, by Type USD Million (2023-2028)
  • Table 214. Argentina Sports Analytics, by Application USD Million (2023-2028)
  • Table 215. Argentina Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 216. Argentina Sports Analytics, by End User USD Million (2023-2028)
  • Table 217. Argentina Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 218. Rest of South America Sports Analytics, by Type USD Million (2023-2028)
  • Table 219. Rest of South America Sports Analytics, by Application USD Million (2023-2028)
  • Table 220. Rest of South America Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 221. Rest of South America Sports Analytics, by End User USD Million (2023-2028)
  • Table 222. Rest of South America Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 223. Asia Pacific Sports Analytics, by Country USD Million (2023-2028)
  • Table 224. Asia Pacific Sports Analytics, by Type USD Million (2023-2028)
  • Table 225. Asia Pacific Sports Analytics, by Application USD Million (2023-2028)
  • Table 226. Asia Pacific Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 227. Asia Pacific Sports Analytics, by End User USD Million (2023-2028)
  • Table 228. Asia Pacific Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 229. China Sports Analytics, by Type USD Million (2023-2028)
  • Table 230. China Sports Analytics, by Application USD Million (2023-2028)
  • Table 231. China Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 232. China Sports Analytics, by End User USD Million (2023-2028)
  • Table 233. China Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 234. Japan Sports Analytics, by Type USD Million (2023-2028)
  • Table 235. Japan Sports Analytics, by Application USD Million (2023-2028)
  • Table 236. Japan Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 237. Japan Sports Analytics, by End User USD Million (2023-2028)
  • Table 238. Japan Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 239. India Sports Analytics, by Type USD Million (2023-2028)
  • Table 240. India Sports Analytics, by Application USD Million (2023-2028)
  • Table 241. India Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 242. India Sports Analytics, by End User USD Million (2023-2028)
  • Table 243. India Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 244. South Korea Sports Analytics, by Type USD Million (2023-2028)
  • Table 245. South Korea Sports Analytics, by Application USD Million (2023-2028)
  • Table 246. South Korea Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 247. South Korea Sports Analytics, by End User USD Million (2023-2028)
  • Table 248. South Korea Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 249. Southeast Asia Sports Analytics, by Type USD Million (2023-2028)
  • Table 250. Southeast Asia Sports Analytics, by Application USD Million (2023-2028)
  • Table 251. Southeast Asia Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 252. Southeast Asia Sports Analytics, by End User USD Million (2023-2028)
  • Table 253. Southeast Asia Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 254. Australia Sports Analytics, by Type USD Million (2023-2028)
  • Table 255. Australia Sports Analytics, by Application USD Million (2023-2028)
  • Table 256. Australia Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 257. Australia Sports Analytics, by End User USD Million (2023-2028)
  • Table 258. Australia Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 259. Rest of Asia-Pacific Sports Analytics, by Type USD Million (2023-2028)
  • Table 260. Rest of Asia-Pacific Sports Analytics, by Application USD Million (2023-2028)
  • Table 261. Rest of Asia-Pacific Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 262. Rest of Asia-Pacific Sports Analytics, by End User USD Million (2023-2028)
  • Table 263. Rest of Asia-Pacific Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 264. Europe Sports Analytics, by Country USD Million (2023-2028)
  • Table 265. Europe Sports Analytics, by Type USD Million (2023-2028)
  • Table 266. Europe Sports Analytics, by Application USD Million (2023-2028)
  • Table 267. Europe Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 268. Europe Sports Analytics, by End User USD Million (2023-2028)
  • Table 269. Europe Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 270. Germany Sports Analytics, by Type USD Million (2023-2028)
  • Table 271. Germany Sports Analytics, by Application USD Million (2023-2028)
  • Table 272. Germany Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 273. Germany Sports Analytics, by End User USD Million (2023-2028)
  • Table 274. Germany Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 275. France Sports Analytics, by Type USD Million (2023-2028)
  • Table 276. France Sports Analytics, by Application USD Million (2023-2028)
  • Table 277. France Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 278. France Sports Analytics, by End User USD Million (2023-2028)
  • Table 279. France Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 280. Italy Sports Analytics, by Type USD Million (2023-2028)
  • Table 281. Italy Sports Analytics, by Application USD Million (2023-2028)
  • Table 282. Italy Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 283. Italy Sports Analytics, by End User USD Million (2023-2028)
  • Table 284. Italy Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 285. United Kingdom Sports Analytics, by Type USD Million (2023-2028)
  • Table 286. United Kingdom Sports Analytics, by Application USD Million (2023-2028)
  • Table 287. United Kingdom Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 288. United Kingdom Sports Analytics, by End User USD Million (2023-2028)
  • Table 289. United Kingdom Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 290. Netherlands Sports Analytics, by Type USD Million (2023-2028)
  • Table 291. Netherlands Sports Analytics, by Application USD Million (2023-2028)
  • Table 292. Netherlands Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 293. Netherlands Sports Analytics, by End User USD Million (2023-2028)
  • Table 294. Netherlands Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 295. Rest of Europe Sports Analytics, by Type USD Million (2023-2028)
  • Table 296. Rest of Europe Sports Analytics, by Application USD Million (2023-2028)
  • Table 297. Rest of Europe Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 298. Rest of Europe Sports Analytics, by End User USD Million (2023-2028)
  • Table 299. Rest of Europe Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 300. MEA Sports Analytics, by Country USD Million (2023-2028)
  • Table 301. MEA Sports Analytics, by Type USD Million (2023-2028)
  • Table 302. MEA Sports Analytics, by Application USD Million (2023-2028)
  • Table 303. MEA Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 304. MEA Sports Analytics, by End User USD Million (2023-2028)
  • Table 305. MEA Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 306. Middle East Sports Analytics, by Type USD Million (2023-2028)
  • Table 307. Middle East Sports Analytics, by Application USD Million (2023-2028)
  • Table 308. Middle East Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 309. Middle East Sports Analytics, by End User USD Million (2023-2028)
  • Table 310. Middle East Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 311. Africa Sports Analytics, by Type USD Million (2023-2028)
  • Table 312. Africa Sports Analytics, by Application USD Million (2023-2028)
  • Table 313. Africa Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 314. Africa Sports Analytics, by End User USD Million (2023-2028)
  • Table 315. Africa Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 316. North America Sports Analytics, by Country USD Million (2023-2028)
  • Table 317. North America Sports Analytics, by Type USD Million (2023-2028)
  • Table 318. North America Sports Analytics, by Application USD Million (2023-2028)
  • Table 319. North America Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 320. North America Sports Analytics, by End User USD Million (2023-2028)
  • Table 321. North America Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 322. United States Sports Analytics, by Type USD Million (2023-2028)
  • Table 323. United States Sports Analytics, by Application USD Million (2023-2028)
  • Table 324. United States Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 325. United States Sports Analytics, by End User USD Million (2023-2028)
  • Table 326. United States Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 327. Canada Sports Analytics, by Type USD Million (2023-2028)
  • Table 328. Canada Sports Analytics, by Application USD Million (2023-2028)
  • Table 329. Canada Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 330. Canada Sports Analytics, by End User USD Million (2023-2028)
  • Table 331. Canada Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 332. Mexico Sports Analytics, by Type USD Million (2023-2028)
  • Table 333. Mexico Sports Analytics, by Application USD Million (2023-2028)
  • Table 334. Mexico Sports Analytics, by Deployment USD Million (2023-2028)
  • Table 335. Mexico Sports Analytics, by End User USD Million (2023-2028)
  • Table 336. Mexico Sports Analytics, by Sports Type USD Million (2023-2028)
  • Table 337. Research Programs/Design for This Report
  • Table 338. Key Data Information from Secondary Sources
  • Table 339. 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 Analytics: by Type USD Million (2017-2022)
  • Figure 5. Global Sports Analytics: by Application USD Million (2017-2022)
  • Figure 6. Global Sports Analytics: by Deployment USD Million (2017-2022)
  • Figure 7. Global Sports Analytics: by End User USD Million (2017-2022)
  • Figure 8. Global Sports Analytics: by Sports Type USD Million (2017-2022)
  • Figure 9. South America Sports Analytics Share (%), by Country
  • Figure 10. Asia Pacific Sports Analytics Share (%), by Country
  • Figure 11. Europe Sports Analytics Share (%), by Country
  • Figure 12. MEA Sports Analytics Share (%), by Country
  • Figure 13. North America Sports Analytics Share (%), by Country
  • Figure 14. Global Sports Analytics share by Players 2022 (%)
  • Figure 15. Global Sports Analytics share by Players (Top 3) 2022(%)
  • Figure 16. Global Sports Analytics share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2022
  • Figure 20. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 21. Oracle (United States) Revenue: by Geography 2022
  • Figure 22. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 23. SAS Institute (United States) Revenue: by Geography 2022
  • Figure 26. EDGE10 (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 27. EDGE10 (United Kingdom) Revenue: by Geography 2022
  • Figure 28. Blue Star Sports (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 29. Blue Star Sports (United Kingdom) Revenue: by Geography 2022
  • Figure 30. Opta sports (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 31. Opta sports (United Kingdom) Revenue: by Geography 2022
  • Figure 32. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 33. SAP (Germany) Revenue: by Geography 2022
  • Figure 34. Football Raters (Switzerland) Revenue, Net Income and Gross profit
  • Figure 35. Football Raters (Switzerland) Revenue: by Geography 2022
  • Figure 36. Sportingmindz Technology Pvt. Ltd. (India) Revenue, Net Income and Gross profit
  • Figure 37. Sportingmindz Technology Pvt. Ltd. (India) Revenue: by Geography 2022
  • Figure 38. Global Sports Analytics: by Type USD Million (2023-2028)
  • Figure 39. Global Sports Analytics: by Application USD Million (2023-2028)
  • Figure 40. Global Sports Analytics: by Deployment USD Million (2023-2028)
  • Figure 41. Global Sports Analytics: by End User USD Million (2023-2028)
  • Figure 42. Global Sports Analytics: by Sports Type USD Million (2023-2028)
  • Figure 43. South America Sports Analytics Share (%), by Country
  • Figure 44. Asia Pacific Sports Analytics Share (%), by Country
  • Figure 45. Europe Sports Analytics Share (%), by Country
  • Figure 46. MEA Sports Analytics Share (%), by Country
  • Figure 47. North America Sports Analytics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Oracle (United States)
  • SAS Institute (United States)
  • Tableau Software,Inc. (United States)
  • EDGE10 (United Kingdom)
  • Blue Star Sports (United Kingdom)
  • Opta sports (United Kingdom)
  • SAP (Germany)
  • Football Raters (Switzerland)
  • Sportingmindz Technology Pvt. Ltd. (India)
Additional players considered in the study are as follows:
Trumedia Networks (United States) , Sport:80 (United Kingdom) , Prozone Sports Ltd.(United Kingdom) , Catapult Group International Ltd (Australia) , Beverly, MA (United States)
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Key Highlights of Report


Nov 2023 243 Pages 74 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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

The standard version of the report profiles players such as IBM (United States), Oracle (United States), SAS Institute (United States), Tableau Software,Inc. (United States), EDGE10 (United Kingdom), Blue Star Sports (United Kingdom), Opta sports (United Kingdom), SAP (Germany), Football Raters (Switzerland) and Sportingmindz Technology Pvt. Ltd. (India) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Heighten Viewership of Domestic League " is seen as one of major influencing trends for Sports Analytics Market during projected period 2022-2028.
The Sports Analytics market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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