The global sports analytics market size was valued at USD 774.6 million in 2018 and is expected to grow at a compound annual growth rate (CAGR) of 31.2% from 2019 to 2025. Growing reliance on quantitative data for gaining insights on competitors in sports is a predominant factor driving the market worldwide. Sports associations and coaches rely heavily on the data generated through sports analytics. This data can be used for various purposes including a selection of players, deciding playing line-ups, and strategy formulation before, during, and after the game.
Today, sports analytics solutions are used across a wide range of games including football, basketball, and baseball. Real-time information concerning speed attained, runs scored, acceleration achieved, and energy levels of a player during the game help coaches and team managers in evaluating player’s performance in the game. Moreover, data generated from the previous games are compiled and used for determining the strategy to be applied during the on-going gaming event or season. Thus, growing need to gain insights on competitor’s strategy and to ensure a competitive edge over the opponent is expected to boost the market over the forecast period.
Traditionally, sports used to be a mere game of chance where the outcome was dependent only on the ability of players. With the advent of digitalization and consequent increase in the adoption of analytics, sports have become number games where the chances of winning the game depend on the level of adoption of analytics to determine the in-game strategy. Sports analytics provide a platform to the sports associations, coaches, players, and other stakeholders to get an insight into the player’s performance and therefore the team performance as a whole, which, in turn, is expected to drive the market growth over the forecast period.
Moreover, the use of analytical tools in sports has given rise to the fantasy gaming industry. Data generated through sports analytics is used in fantasy games such as fantasy football, fantasy baseball, and fantasy cricket, wherein sports aficionados get insights into the actual statistics of players based on the calculations from the last game. Using that data, the person playing the fantasy sport selects players of his own choice which thereby increases the involvement in the game. Increasing adoption and involvement in fantasy gaming has given rise to the need for analytics in sports, which will further act as a market driver over the coming years.
Based on components, the market has been classified into software and services. The software segment dominated the market in terms of revenue in 2018 and is expected to remain dominant over the forecast period. Increased adoption of sports analytics software solutions can be largely credited to growing preference for cloud-based software solutions, offering benefits in terms of data security and ease of accessibility to the end-users such as sports associations, clubs, leagues, and sportsperson. Moreover, sports aficionados have also been observed to be using smartphone applications for analyzing the data related to sports. The advent of cloud-based solutions offering easy accessibility coupled with the proliferation of smartphones and other smart devices has led to increased use of data analytics, aiding the growth of the software segment.
The use of analytical tools in sports requires an exceptional understanding and knowledge of analytics. Hence, sports associations need services of the skilled workforce having expertise in analytics. Lack of availability of skilled workforce having in-depth knowledge of analytical tools makes such associations switch to companies providing analytical services. The higher cost associated with such analytical services is hindering the growth of the segment. On the other hand, several universities and colleges, especially in the Asia Pacific region have started analytics as a separate education field and are observing a high turnout of students opting for this field, thereby delivering more analysts per year. This trend is expected to gradually subdue the impact of lack of availability of skilled analysts to the growth of the market in the coming years.
Based on the analysis type, the market has been segmented into on-field and off-field. The on-field segment dominated the market in 2018 and is expected to register a higher CAGR over the forecast period. Higher growth of this segment is about the growing use of analytical solutions in outdoor games such as cricket, rugby, hockey, and swimming. Furthermore, under the on-field segment, player and team analysis are expected to hold a major share. The use of analytical tools in sports provides an ample amount of data related to the player’s performance and fitness. Sportsperson and coaches use this data to determine the in-game strategies and techniques and thereby increase the chances of winning the game. Also, sports organizations use analytics to organize and manage teams.
The off-field segment accounted for 46.9% share in the sports analytics market in 2018. Off-field analytics used in sports aids higher involvement of sports aficionados as well as other spectators in the game. Analytics is applied in real-time as a game progresses, which therefore is made available to the spectators to understand the criticality of each event during the game. This analytical data is also used as an input for people to invest in gambling activities in countries where it is legal. Countries where sports gambling is restricted or banned, analytical data is used to play fantasy sports wherein people can earn coins or points without real money getting involved. Hence, fan engagement has been observed to be the most important driving force for the growth of the off-field segment.
Based on sports, the market has been segmented into football, cricket, baseball, basketball, rugby, and others. The other segment includes sports such as swimming and hockey. The football segment dominated the market in 2018 owing to the immense popularity of the sport worldwide, especially in European countries such as the U.K., Spain, and Germany. These countries conduct several football leagues including the English Premier League, La Liga, and Bundesliga. Analytics plays a crucial role in football for gaining insights on different fields including player’s health, acceleration attained, passing trend, and several touch-down passes. Conclusively, the greater popularity of football worldwide is considered as the major factor for the higher share of this segment.
Additionally, the basketball segment is expected to grow at a considerable rate over the forecast period. This growth can be attributed to the use of analytical tools in basketball for gaining insights on the playing techniques of the players. Moreover, since a basketball court is much smaller in size as compared to football, cricket, and rugby playgrounds, it becomes difficult for coaches and team managers to observe every minute detail of the game. Hence, to get detailed insights into the game, analytics is increasingly used in basketball. The trend is presumed to continue, driving the market during the forecast period from 2019 to 2025.
In terms of revenue, North America dominated the global market in 2018 and is expected to remain dominant over the forecast period. The growth is majorly attributed to the relatively greater adoption of analytics across sports in countries including the U.S. and Canada. The companies providing analytical solutions in these countries are observed to be investing considerably in research & development activities to develop advanced big data analytics solutions. Moreover, the region is an early adopter of technology dominates the market worldwide.
The Asia Pacific is anticipated to register the highest growth over the forecast period owing to the growing popularity of sports as a career option. Countries like China and Japan are the major contributors to the growth in the Asia Pacific market. Sportsperson in these countries is famous for performing exceptionally well at international sports championships. In wake of rising competitive nature of sportsmen across different sports, the use of analytical tools to gain insights on players and his performance has surged over the last few years. In countries like China and Japan, sports analytics play a vital role in player selections and to govern the possible outcome of sporting events.
With the intensifying market competition, all the aforementioned established players are trying to defend their market position. These players are investing in research and development to bring new technologies to the market. Moreover, business expansion through strategic partnerships, mergers, and acquisitions remain other prominent strategies in the market. Market players are also launching new products and services and maintaining competitive prices.
Companies such as IBM Corporation and Oracle, hold expertise in analytical technologies, thereby helping their customers in leveraging the humungous amount of data generated from internet devices. Moreover, IBM Corporation offers a maximum number of technology-advanced solutions for developing smart stadiums and playgrounds. Some of the prominent players in the sports analytics market include:
Experfy Projects
Oracle
IBM Corporation
SAP
Sportradar AG
Tableau Software
SAS Institute Inc.
Report Attribute |
Details |
The market size value in 2020 |
USD 1,089.2 million |
The revenue forecast in 2025 |
USD 4,589.2 million |
Growth Rate |
CAGR of 31.2% from 2019 to 2025 |
The base year for estimation |
2018 |
Historical data |
2014 - 2017 |
Forecast period |
2019 - 2025 |
Quantitative units |
Revenue in USD million and CAGR from 2019 to 2025 |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segments covered |
Component, analysis type, sport, region |
Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
Country scope |
U.S.; Canada; Germany; U.K.; France; China; Japan; India; Mexico; Brazil |
Key companies profiled |
Experfy Projects; Oracle; IBM Corporation; SAP; Sportradar AG; Tableau Software; SAS Institute Inc. |
Customization scope |
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2014 to 2025. For this study, Grand View Research has segmented the global sports analytics market report based on component, analysis type, sport, and region:
Component Outlook (Revenue, USD Million, 2014 - 2025)
Software
Service
Analysis Type Outlook (Revenue, USD Million, 2014 - 2025)
On-field
Player & Team Analysis
Video Analysis
Health Assessment
Off-field
Fan Engagement
Ticket Pricing
Sports Outlook (Revenue, USD Million, 2014 - 2025)
Football
Cricket
Baseball
Basketball
Rugby
Others
Regional Outlook (Revenue, USD Million, 2014 - 2025)
North America
The U.S.
Canada
Europe
U.K.
Germany
France
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
The Middle East and Africa (MEA)
b. The global sports analytics market size was estimated at USD 898.3 million in 2019 and is expected to reach USD 1,089.2 million in 2020.
b. The global sports analytics market is expected to grow at a compound annual growth rate of 31.2% from 2019 to 2025 to reach USD 4,589.2 million by 2025.
b. Software segment dominated the sports analytics market with a share of 56.4% in 2019. This is attributable to the growing preference for cloud-based software solutions that offer benefits in terms of data security and ease of accessibility to the end-users.
b. Some key players operating in the sports analytics market include Experfy Projects; Oracle; IBM Corporation; SAP; Sportradar AG; Tableau Software; Catapult; Deltatre; Hudl; and SAS Institute Inc.
b. Key factors that are driving the market growth include growing reliance on quantitative data for gaining insights on competitors and for determining the strategy to be applied during the on-going gaming event or season.
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