Enjoy complimentary customisation on priority with our Enterprise License!
The sports analytics market size is forecast to increase by USD 4.23 billion at a CAGR of 23.25% between 2022 and 2027. The growth of the market depends on several factors, including an increase in the adoption of cloud-based deployment solutions, growing demand for mobile applications in sports, and significant demand for sports analytics. Sports analytics involves the scientific analysis of historical and statistical data that allows individuals (athletes and sportspersons) as well as teams to enhance their performance. They provide insights into games, which help management officials, coaches, and players enhance their skills, performance, and game strategy. This analytical tool uses predictive analytic models and information systems to update decision-makers and allows their organizations to gain a competitive advantage in the sports field or in the game. This market research and growth report also includes an in-depth analysis of drivers, trends, and challenges. Furthermore, the report includes historic market data from 2017 to 2021.
To learn more about this report, View Report Sample
In the dynamic world of sports, Performance and Analytics have become essential tools for teams and organizations to gain a competitive edge. The market is witnessing significant growth, with technologies like Artificial Intelligence (AI), Big Data, and Machine Learning playing pivotal roles. These technologies enable teams to collect, analyze, and interpret data from various sources, including player statistics, game data, and fan behavior. Teams use this data to make informed decisions on player transfers, team strategy, and fan engagement. For instance, Injuries are a significant concern in sports, and predictive analytics can help teams identify potential injuries and take preventive measures. Similarly, Social media listening tools help teams understand fan sentiment and tailor their marketing strategies accordingly. Moreover, the use of Sports Technology is on the rise, with wearable devices and tracking systems providing real-time data on player performance and health. The integration of these technologies with analytics tools can lead to more accurate and actionable insights. In conclusion, the market is transforming the way teams and organizations approach sports management. With the help of advanced technologies, teams can make data-driven decisions, optimize performance, and engage fans more effectively.
Sports Analytics is a significant sector in the technology industry, with Marketing analytics playing a crucial role. The market is driven by various factors, including the increasing use of data in decision-making processes, the growing popularity of sports, and the advancement of technology. The market comprises several components, such as Predictive Analytics, Machine Learning, and Big Data. Predictive Analytics is used to identify trends and patterns in sports data, enabling teams and organizations to make informed decisions. Machine Learning algorithms are employed to analyze historical data and provide insights into player performance, fan behavior, and market trends. Big Data is the foundation of Sports Analytics, providing vast amounts of data that can be analyzed to gain valuable insights. Moreover, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in Sports Analytics is a game-changer. AI-powered chatbots and virtual assistants are used to engage fans and provide personalized experiences. IoT sensors are used to collect real-time data on player performance, fan behavior, and stadium conditions. The market is expected to grow significantly in the coming years, with major players including Microsoft, IBM, SAS, and SAP. The market is also witnessing increased investment from venture capitalists and private equity firms. Overall, it is revolutionizing the way sports are managed, marketed, and consumed.
Growing demand for mobile applications in sports is the key factor driving the growth of the market. Smartphones have many online apps that help coaches to manage teams, view results, and schedule matches. Software market players are developing smartphone-compatible apps to enhance team management activities. For example, Blue Star Sports provides sports management software for sports leagues, clubs, and associations. It offers a Blue Star Sports app for compatible Android and iOS mobile devices, allowing end users to stay on top of team information, send last-minute updates, and add and edit team events.
Furthermore, SAP offers software in the sports and entertainment categories. The company's mobile platform for the sports industry facilitates discussions between the teams involved as well as the review of player performance information between managers and players. SAP and the Women's Tennis Association engage in the development of innovative applications and technologies to engage more fans, providing players with tools to analyze their performance and optimize their strategies, while serving better communication. Hence, the growing demand for mobile apps in sports is expected to drive the growth of the market during the forecast period.
Integration of advanced technologies into sports analytics is the leading trend in the market. Artificial intelligence (AI) is a branch of computer science that uses algorithms, pattern matching, rules, deep learning, and cognitive computing to draw preliminary conclusions without direct human intervention. AI is designed and programmed to think and act like humans. The use of AI in the sports industry is increasing due to its ability to improve productivity and deliver accurate results in a short period of time. Advances in machine learning, artificial intelligence, and big data have created a paradigm shift.
On the other hand, the development of deep neural networks and support vector machine models aim to help team leaders to build winning combinations and evaluate their probabilities. Similarly, a clustering algorithm can be efficient and effective in analyzing fan management. This can mainly be used to target specific audience groups to launch marketing campaigns and increase their fanbase. Hence, the increasing adoption of cutting-edge technologies in sports analytics solutions is expected to drive market growth during the forecast period.
System integration and interoperability issues are a challenge that affects the growth of the market. This problem is common among globally recognized sports teams and athletes, who are highly supported by sponsorship. These end users prefer internal analytics for a more personalized approach to improving their performance. Considering the need for IT providers for these solutions, these groups and individuals will face challenges related to interoperability and system integration. An industry solution provider must provide IT solutions that can seamlessly integrate with a sports club's existing IT infrastructure.
Moreover, technical issues in the process can lead to significant losses for individuals, sports clubs, and leagues, thereby affecting their operational efficiency. Integrating new IT systems with existing traditional IT infrastructure can lead to cross-platform system integration issues. Market players must be able to seamlessly integrate the latest IT systems into clubs with the help of an IT team with the necessary technical expertise. Therefore, interoperability and system integration issues are expected to hinder the growth of the global market during the forecast period.
The Market analysis and report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.
Global Sports Analytics Market Customer Landscape
This market report extensively covers market segmentation by type (football, cricket, hockey, tennis, and others), solution (player analysis, team performance analysis, health assessment, fan engagement analysis, and others), and geography (North America, Europe, APAC, South America, and Middle East and Africa). The global industry in the global sports industry is thriving due to the popularity of soccer and the high demand for analysis. AI (Artificial Intelligence) and ML (Machine Learning) technologies are at the forefront of this market, utilizing Big Data for predictive modeling. The internet proliferation has enabled data analytics, requiring analytical skills and business knowledge from the players, including coaches, management officials, and athletes. Core sports analytics involve analyzing game skills, strategy, performance, and win-loss records for unique insights. AI-based technologies, such as cloud-based solutions, offer scalability, cost savings, access, and uninterrupted service. The competitive nature of the sports industry drives technology adoption, with companies focusing on fan experience and market readiness. Social media impact is also significant, influencing club decisions and strategies. The market is characterized by a high level of technology adoption, with a focus on sports dynamics and the use of AI and ML technologies.
The market share growth by the football segment will be significant during the forecast period. Football is the most popular sport in the world, attracting the most viewers. One of the key factors behind the huge popularity of the sport is that it attracts a large number of viewers for domestic leagues, such as the Champions League, English Premier League, and Spanish La Liga. , as well as international tournaments, such as the World Cup and European Championship.
Get a glance at the market contribution of various segments View Free PDF Sample
The football segment showed a gradual increase in the market share of USD 588.53 million in 2017 and continued to grow by 2021. With football's worldwide reach, the need for analytics is high. This need has fueled the growth of different data providers and market players. The sport has the most subjective stats like basic passes and chances created, alongside obvious objective stats like goals and assists. Hence, the football segment is expected to witness high growth in the global market during the forecast period.
For more insights on the market share of various regions Download PDF Sample now!
North America is estimated to contribute 38% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The US is one of the key contributors to the growth of the regional market, followed by Canada in 2021. The rising adoption of sports software in the region is contributing to the growth of the market. In the US, sports organizations seek to gain a competitive and business advantage in the field by gleaning hidden insights from data using analytical tools.
The Global Industry is experiencing robust growth, driven by technological advances and investments. AI and ML, key components of Data Science, are transforming the sector through Predictive Modeling and Big Data analysis. The Internet Proliferation facilitates real-time Data Analytics, enhancing Analytical Skills for coaches, management officials, and athletes. Core Sports Analytics focuses on game skills, strategy, performance, and win-loss records, providing unique insights for the sports industry. AI-based technologies, such as cloud-based solutions, offer scalability, cost efficiency, and uninterrupted service. The competitive nature of sports necessitates quick adoption of these technologies, with major companies leveraging them to enhance fan experience and gain market readiness. Social media impact further fuels the need for AI and ML adoption in the sports sector. Clubs and major sports leagues in regions like the US and Canada are leading the way in this transformative trend.
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
This market growth and trends report also includes detailed analyses of the competitive landscape of the market and information about 20 market companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
In the dynamic world of sports, Data-driven insights have become essential for teams, leagues, and broadcasters to gain a competitive edge. The market is thriving, with key players adopting advanced technologies like ML (Machine Learning), Data Science, Big Data, and IoT to analyze player performance, predict outcomes, and optimize strategies. The Market for Analytics in Sports is expected to grow significantly, with regions like North America and Europe leading the charge. Companies like IBM, SAP, and Microsoft are investing heavily in this space, offering solutions for sports teams to manage and analyze data, enhance fan engagement, and monetize insights. The use of AI (Artificial Intelligence) and predictive analytics is becoming increasingly common, allowing teams to make data-driven decisions in real-time. The future of sports is data-driven, and the global industry is at the forefront of this revolution.
The market plays a pivotal role in shaping the future of the sports industry by leveraging data to optimize performance and enhance fan engagement. A Sporting event worldwide relies on individual players and teams to deliver exceptional performances, often guided by a sophisticated training curriculum designed using data-driven insights. Team managers utilize off-field data to inform strategic decisions, such as team selection processes and player lineups, maximizing their chances of success. As the industry continues to evolve, the demand for sports analytics solutions grows, empowering stakeholders to unlock new opportunities and achieve greater success in an increasingly competitive landscape in the global industry.
The market report forecasts market growth by revenue at global, regional & country levels and provides an analysis of the latest trends and growth opportunities from 2017 to 2027.
Market Scope |
|
Report Coverage |
Details |
Page number |
183 |
Base year |
2022 |
Historic period |
2017-2021 |
Forecast period |
2023-2027 |
Growth momentum & CAGR |
Accelerate at a CAGR of 23.25% |
Market growth 2023-2027 |
USD 4.23 billion |
Market structure |
Fragmented |
YoY growth 2022-2023(%) |
20.01 |
Regional analysis |
North America, Europe, APAC, South America, and Middle East and Africa |
Performing market contribution |
North America at 38% |
Key countries |
US, China, Japan, Germany, and UK |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
Key companies profiled |
Blinkfire Analytics Inc., Catapult Group International Ltd., ChyronHego Corp., Deltatre SpA, ExlService Holdings Inc., Experfy Inc., International Business Machines Corp., iSportsAnalysis Ltd., Nielsen Holdings Plc, Oracle Corp., Qualitas Global Services B.V., Salesforce Inc., SAP SE, SAS Institute Inc., Sportcor, Sportradar AG, SportsSource Analytics, Stats Perform group of companies, TruMedia Networks Inc., and Zebra Technologies Corp. |
Market dynamics |
Market trends and analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period. |
Customization purview |
If our market report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
We can help! Our analysts can customize this market research report to meet your requirements.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Type
7 Market Segmentation by Solution
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
Get lifetime access to our
Technavio Insights
Cookie Policy
The Site uses cookies to record users' preferences in relation to the functionality of accessibility. We, our Affiliates, and our Vendors may store and access cookies on a device, and process personal data including unique identifiers sent by a device, to personalise content, tailor, and report on advertising and to analyse our traffic. By clicking “I’m fine with this”, you are allowing the use of these cookies. Please refer to the help guide of your browser for further information on cookies, including how to disable them. Review our Privacy & Cookie Notice.