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2024: Global Sports Analytics Digital Solutions Market Size Reaches $4.79 Billion for the Year
At the end of 2024, the costs in the global market for digital solutions for sports analytics amounted to $4.79 billion. More than 40% of this amount fell on the North American region. Such data are provided in a study by Fortune Business Insights, the results of which were released on April 21, 2025.
Sports analytics involves the collection, analysis and interpretation of data in order to assess the effectiveness of individual players and teams, decision-making, etc. This approach makes it possible to predict the results of upcoming sports events. Identifying patterns in the data paves the way for the development of customized training plans for athletes. Teams get the opportunity to evaluate their game in detail, which gives them a competitive advantage. Analysis of a wide variety of indicators allows you to identify weaknesses and strengths and make informed decisions to improve performance.
One of the drivers of the industry is technological advances, including the introduction of artificial intelligence and machine learning. Such systems are able to analyze huge amounts of data with high speed and efficiency, providing information that is critical for strategic planning. AI algorithms allow you to view important data in real time. Thanks to AI, sports analytics go beyond simple statistics, offering a detailed look at information that covers a wide range of factors, including the fitness of individual players and the potential of the team as a whole. Machine learning models analyze biomechanics to predict potential injuries. In addition, generative AI allows the development of advanced metrics that provide a deeper understanding of player performance, expanding the capabilities of traditional statistics. AI helps identify promising athletes who might otherwise go unnoticed. Generative AI can quickly create sports event reviews and other content, allowing journalists to focus on more creative tasks.
Sports analytics also play a crucial role in increasing the chances of success in sports betting. Startups that introduce innovative ideas and solve existing problems play an important role in expanding the industry, the study said. Many such companies develop AI-based projects to personalize training, form individual nutrition plans, taking into account the physique and physical characteristics of athletes, etc. Investors recognize the value of sports analytics, which leads to significant investments in technology companies specializing in data processing, monitoring and wearable sports devices.
Analysts segment the market into teams, individual athletes, sports associations and federations, and event organizers and sponsors. In 2024, the segment of associations and federations dominated with a share of about 41%. From a geographical point of view, North America leads, where costs amounted to $2.01 billion, which corresponds to 42% of the industry.
In 2025, spending on digital solutions for sports analytics worldwide is expected to rise to $5.79 billion. Fortune Business Insights believes that in the future, the CAGR in the market under consideration will be 22.5%. As a result, costs globally could rise to $24.03 billion by 2032.[1]
2021: Global sports analytics software market valued at $2.5 billion
The volume of the global market software for sports analytics reached $2.5 billion at the end of 2021. This is evidenced by data from researchers ResearchAndMarkets, published at the end of March 2022.
According to the researchers, the sports analytics software market will grow to $8.4 billion by 2026 at a combined annual growth rate (CAGR) of 27.3% during the forecast period. The growth of the market is influenced by factors such as increased spending on the introduction of new technologies, a change in the landscape of client analytics to stimulate the market and an increase in the number of client channels.
Traditional analytics platforms use static and stored data to analyze simple or complex patterns and respond to any business situation. These platforms require days to analyze and weeks to process the stored data. Sports analytics software is the main big data tool that allows companies to use historical data and combine it with customer information to predict future events. Big Data is an ever-evolving technology that helps businesses streamline processes and minimize operating costs.
The combination of real-time data flow technology, artificial intelligence (AI), machine learning (MoD) and sports analytics can provide competitive business advantages. Traditional analytics and business intelligence systems use a deductive approach to analyze data. This approach works well with structured data. Sports analytics, on the other hand, takes an approach to inductive reasoning analysis that works with large datasets derived from machine learning, robotics, sensors and AI.
It uses algorithms that perform complex calculations on large datasets and discover relationships and patterns between them. Big data offers the ability to collect, manage, and analyze data across business verticals such as banking, healthcare, and agriculture, so big data has been one of the most popular topics in information technology (IT) for a decade.
Data has always been crucial in sports to gain strategic decision-making opportunities and formulate other business strategies. Sport generates a large amount of data related to players, team performance and audience. Big Data has made it easier and faster for coaches, team managers and sports associations to analyze the data collected and use it optimally. In addition, they help change existing business models that treat sport as a commercial and technology platform.
It is expected that in order to turn sports arenas into a testing ground for the large-scale implementation of IoT software for sports analytics, it should provide a reliable Wi-Fi network, mobile and cloud computing, as well as [[Internet of Things (IoT)|the Internet of Things (IoT).]]
The Internet of Things will eventually digitize stadium operations and provide fans with enhanced options. So a smart stadium will use sophisticated technology and robust infrastructure to improve its operations to attract even more fans to stadiums.
Market Growth Drivers:
- Growing adoption of big data and other technologies
- Increased investment in sports technology for data-driven decision making
- Need to improve player or team performance
Factors that are holding back market growth:
- Ignorance about the benefits of sports analytics solutions
- Budget constraints hinder implementation of sports analytics solutions
- Data Security Issues
Major suppliers in the global sports analytics software market include:
IBM (USA),
SAS Institute (USA),
Salesforce (USA),
EXL (USA),
GlobalStep (USA),
Catapult (USA),
HCL (India),
ChironHego (USA),
Stats Perform (USA),
TruMedia Network (USA),
DataArt (USA),
Orreco (Ireland),
Quant4Sport (Italy),
Zebra Technologies (USA)
Exasol (Germany).[2]
Notes
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