Sports Analytics Market Size, Share, Growth, Trends, Report 2023-2032
The global sports analytics market was valued at USD 1.15 billion in 2022 and it is predicted to surpass around USD 10.82 billion by 2032 with a CAGR of 25.13% from 2023 to 2032. The sports analytics market in the United States was accounted for USD 179.3 million in 2022.
Key Pointers
Report Scope of the Sports Analytics Market
| Report Coverage | Details |
| Revenue Share of North America in 2022 | 30% |
| Revenue Forecast by 2032 | USD 10.82 billion |
| Growth Rate from 2023 to 2032 | CAGR of 25.13% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Companies Covered | Agile Sports Analytics, LLC; Catapult Sports; ChyronHego Corporation; Deltatre; Experfy Inc.; Genius Sports Group; IBM Corporation; Oracle Corporation; SAP SE; SAS Institute Inc.; Sportradar AG; Stats Perform |
The increasing importance of on-field data to analyze team performance, track individual players, monitor injuries, and optimize the training curriculum of individual players is expected to drive the demand for sports analytics solutions in the coming years. Team managers have started comparing off-field and on-field data of individual players to formulate strategies, team selection processes, and player lineups in the game. The increased emphasis on real-time data to organize training sessions and realize strategic developments in games by managers is expected to drive further market growth.
Advancements in technology have given significant importance to analytics. Managers rely on statistics and data to formulate game plans to achieve in-game success through data analytics. These advanced analytical solutions play a crucial role in building in-game strategies, as they provide managers, stakeholders, coaches, and players with solutions that generate valuable insights on various parameters of the overall team and the individual players. These solutions help managers gain data about players, as well as understand data on weather and pitch conditions to formulate a better strategy.
Traditionally, game results depended solely on players and their abilities. However, technological developments in big data, ai, and machine learning (ML) have initiated a shift in patterns in sports analytics. The algorithms of this software analyze aspects such as performances in overseas conditions and home grounds, opponents, and game conditions and recommend the best suitable players for specific situations. Moreover, support vector machines and deep neural networks help coaches and managers to determine winning probabilities and combinations.
On the other hand, the clustering algorithm targets particular groups to help increase the fan base through fan management analysis. Big data analytics improves team efficiency and raises revenue through merchandising, sponsorships, media rights, and ticket sales. The analytical data is widely used in fantasy gaming applications to showcase player information and individuals while selecting players to get money rewards. The increasing use of sports analytics solutions in fantasy gaming is expected to impact the market positively.
The COVID-19 pandemic negatively affected the global sports industry. The outbreak led to the postponement of major sports events such as the UEFA Euro 2020, the Olympic Games, and the ICC Men's T20 Cricket World Cup, among many others. The sports industry suffered heavy losses resulting in budget cuts on player compensations and spending on technology. However, the market witnessed signs of recovery in 2021 due to the resumption of sporting events and is expected to expand positively in the coming years.
Component Insights
The software segment dominated the market in 2022 with a revenue share of over 60%. Software applications such as pre/post-game analysis, real-time predictive analysis, motion/video analysis, and data visualization, produce sports analytical data. Marketers are offering customized sports analytics software depending on its desired use for teams and individuals. Developments in AR/VR, biometrics, 2D/3D imaging, Big Data analytics, and video-based sensing have transformed the software segment. These technologies are now effectively used in video analysis, player tracking, and motion analysis software.
Managers leverage software applications to optimize their marketing and advertising campaigns. For instance, the American professional baseball team, The Texas Rangers, uses sports management software by Tableau Software, which has provided a complete view of all operations in one software, including real-time merchandise and ticket sales, promotional activities, in-stadium food & beverage sales, and game attendance.
The services involved in sports analytics include technology consulting and data analysis, predictive forecasting and analysis, data governance, API integration, and maintenance. Various organizations and sports teams are approaching service providers to focus on their core activities and scale their growth by generating actionable insights.
Analysis Type Insights
The on-field segment dominated the market in 2022 with a revenue share of over 62% the segment is expected to remain dominant over the forecast period. The growth can be attributed to the increasing use of on-field analytical data such as health assessment, player & team analysis, and video analysis. The adoption of on-field data analysis solutions in sports, including football, cricket, rugby, and swimming, has increased considerably in recent years.
For instance, SAP SE offered TSG 1899 Hoffenheim, a German Bundesliga team, the ability to enable digital transformation for the club using SAP's new solutions. The software has helped football coaches and managers visualize formations, plays, and strategies dynamically. Increasing demand for health assessment, player & team analysis, and video analysis requirements by sports teams is expected to fuel the growth of the on-field segment during the forecast period.
Off-field analytics primarily helps improve the business and operational efficacy of sports teams. Off-field analytics solutions are majorly used by different stakeholders, fantasy gaming, and betting applications to increase profitability by making the right decisions. An increasing trend among sports fans to understand sports dynamics is expected to result in a significant CAGR for this segment over the forecast period in the sports analytics market.
Sports Insights
The football segment is expected to register a CAGR of 27.72% over the forecast period. The increasing popularity of football across European countries such as the U.K., Germany, and Spain is attributed to the segment's growth in the projection period. Leading football leagues in European countries, such as the Premier League, UEFA Champions League, and the Bundesliga emphasize the use of data analytics software to plan strategies and player lineups.
Data analytics applied in football games helps collect valuable insights such as player performance, passing trends, acceleration, and the number of touchdown passes. The significant number of benefits provided by these solutions in football, along with the heavy investments done by football teams in data analytics solutions to gain a competitive edge, are expected to drive the segment's growth.
The basketball segment is expected to witness considerable growth over the forecast period. Basketball teams use high-tech data analytics solutions to formulate game plans and strategies, avoid player injuries, and scout for promising players. Team coaches and managers also use data analytics solutions to evaluate opponent teams, increase the probabilities of winning the game, and decide team compositions.
For instance, sports data analytics firm Noah Basketball has helped various NBA teams, including the New York Knicks, Los Angeles Lakers, Toronto Raptors, and Golden State Warriors, to analyze the performance and shooting arcs of basketball players by providing Noah's basketball tracking system. The demand for data analytics is expected to increase in this sport during the assessment period.
Regional Insights
North America accounted for a market share of around 30% in 2022. The increasing demand for video analysis and AI in sports and rising investments in the latest technologies by organizations such as the National Football League (NFL), Major League Baseball (MLB), and National Basketball Association (NBA) in the region are factors expected to drive the North American market. Leading companies in the market for sports analytics, including Tableau Software, SAP SE, and IBM Corporation, are investing heavily in research and development to cater to client needs and gain a competitive edge.
The Asia Pacific region is expected to witness significant growth through 2032. Countries including Japan, India, and China are anticipated to experience strong demand for these solutions due to the strong improving sports culture in these countries. Factors such as the emergence and popularity of various sporting leagues, aggressive investments in sports, and digitalization are expected to play a crucial role in the regional market growth.
Sports Analytics Market Segmentations:
By Component
By Analysis Type
By Sports
By Regional
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Component Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Sports Analytics Market
5.1. COVID-19 Landscape: Sports Analytics Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Sports Analytics Market, By Component
8.1. Sports Analytics Market, by Component, 2023-2032
8.1.1 Software
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Service
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Sports Analytics Market, By Analysis Type
9.1. Sports Analytics Market, by Analysis Type, 2023-2032
9.1.1. On-field
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Off-field
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Sports Analytics Market, By Sports
10.1. Sports Analytics Market, by Sports, 2023-2032
10.1.1. Football
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Cricket
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Baseball
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Basketball
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Rugby
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Others
10.1.6.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Sports Analytics Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.1.3. Market Revenue and Forecast, by Sports (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Sports (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Sports (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.2.3. Market Revenue and Forecast, by Sports (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Sports (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Sports (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Sports (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Sports (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.3.3. Market Revenue and Forecast, by Sports (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Sports (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Sports (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Sports (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Sports (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.4.3. Market Revenue and Forecast, by Sports (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Sports (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Sports (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Sports (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Sports (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.5.3. Market Revenue and Forecast, by Sports (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Sports (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Analysis Type (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Sports (2020-2032)
Chapter 12. Company Profiles
12.1. Agile Sports Analytics, LLC
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Catapult Sports.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. ChyronHego Corporation.
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Deltatre.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Experfy Inc.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Genius Sports Group
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. IBM Corporation.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Oracle Corporation
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. SAP SE
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. SAS Institute Inc.
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers