Top Sports Analytics Companies

The sports analytics market is projected to witness a CAGR of 15.7% from 2025 to 2030, reaching USD 4.75 billion by 2030 from an estimated USD 2.29 billion in 2025. The market is rapidly evolving, driven by advanced machine learning and real-time predictive modeling. Organizations now harness fan data to personalize experiences and monetize engagement through targeted content and digital platforms. Simultaneously, predictive analytics is fueling growth in betting and fantasy sports by forecasting player performance and match outcomes with greater accuracy. These innovations are reshaping strategic decision-making, optimizing athlete performance, and unlocking new revenue streams, positioning analytics as a critical enabler across both on-field performance and off-field monetization.

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In May 2025, Sportlogiq and Just Play formed a strategic partnership to integrate Sportlogiq’s AI-powered analytics and video with Just Play’s coaching and recruiting platform for college hockey. This collaboration enables data-driven player teaching, scouting, and roster strategies, delivering advanced insights and instant video breakdowns directly within coaching workflows nationwide.

In March 2025, Kitman Labs partnered with Unrivaled, a women’s 3-on-3 professional basketball league, to deploy its Intelligence Platform. This advanced system will unify medical and performance data, offering real-time, holistic player insights to optimize health, readiness, and performance, supporting evidence-based decisions across the league and its clubs.

Top Sports Analytics Companies include

• Catapult (Australia)
• Hudl (US)
• Sportradar (Switzerland)
• Stats Perform (US)
• SAP (Germany)

These are considered top providers due to their ability to deliver integrated, real-time analytics through performance, tactical, and commercial domains. Their platforms support predictive modeling, video breakdown, and fan engagement at scale. Strong global adoption, continuous innovation, and partnerships with major leagues and teams solidify their leadership in driving data-informed decision-making in sports.

CATAPULT

Catapult’s key strengths in sports analytics center on its advanced software solutions for performance optimization and tactical analysis. The company’s analytics platform enables teams to integrate video, physiological, and tactical data to assess player workloads, identify fatigue trends, and refine strategic decision-making. Its software supports real-time data visualization, customizable performance dashboards, and predictive insights to aid injury prevention and return-to-play planning. Catapult’s tools are widely adopted across elite football, rugby, basketball, and Olympic sports, allowing coaching and medical staff to make informed, evidence-backed decisions. The company’s data-driven approach enhances both individual player development and overall team competitiveness.

HUDL

Hudl’s strengths in the sports analytics market stem from its comprehensive video analysis and performance breakdown solutions tailored for both professional and amateur teams. The platform enables seamless integration of match footage with statistical insights, allowing coaches to dissect plays, identify patterns, and improve tactical execution. Hudl’s cloud-based system supports collaborative workflows, enabling teams to share annotated clips, generate custom reports, and align on strategy across devices. Its acquisition of Wyscout and Instat further strengthened its capabilities in opponent scouting and player recruitment. Hudl’s accessibility, user-friendly interface, and deep analytics make it a trusted tool across football, basketball, and other team sports.

Sportradar

Sportradar is a global leader in sports data and analytics, offering advanced solutions for real-time data collection, predictive analytics, and integrity services. Serving leagues, media companies, and betting operators, Sportradar uses AI and machine learning to deliver deep insights into player performance, game outcomes, and fan engagement. Its analytics platform supports both competitive decision-making for teams and commercial optimization for stakeholders in the sports ecosystem.

Stats Perform

Stats Perform combines sports data with artificial intelligence to offer cutting-edge analytics for teams, broadcasters, and betting companies. Known for its Opta and SportVU data sets, the company delivers real-time performance metrics, predictive modeling, and scouting intelligence. By leveraging AI to analyze vast amounts of player and team data, Stats Perform helps clients improve game strategies, engage fans, and drive informed business decisions in professional sports.

SAP

SAP provides powerful sports analytics solutions through its SAP Sports One platform, enabling teams to manage performance, health, scouting, and player development. By integrating real-time data, machine learning, and cloud computing, SAP helps sports organizations enhance team management, optimize training, and gain competitive advantages. SAP partners with major sports teams and associations globally, supporting data-driven decision-making on and off the field.

MARKET RANKING ANALYSIS

In 2025, the sports analytics market remained highly competitive, with Catapult, Hudl, Sportradar, Stats Perform, and SAP collectively accounting for approximately 35–40% of the total market share. Catapult strengthened its position through advanced video performance analytics, expanding its Pro Video platform to deliver integrated tactical breakdowns, workload analysis, and post-match insights for elite teams. Hudl enhanced its Sportscode suite by introducing deeper AI-driven tagging and real-time collaboration features, enabling coaches to streamline analysis and refine strategic planning with greater precision. Sportradar advanced its Live Match Tracker technology, offering rich, real-time visual data feeds and predictive event modeling to improve engagement across media, betting, and team strategy. Stats Perform continued to lead in player and team performance data with OptaAI Studio, an AI-powered platform that generated automated insights, contextualized in-game data, and supported predictive modeling for broadcasters and performance analysts. SAP evolved its Sports One platform by deepening its integration of biometric, tactical, and operational data. Enhancements in player load monitoring, injury risk assessment, and team management tools allowed federations and clubs to make more informed, real-time decisions. Together, these vendors delivered high-impact, sport-specific analytics that drove competitive advantage across training, match preparation, fan engagement, and commercial strategy, consolidating their leadership within a rapidly evolving sports intelligence system.

Related Reports:

Sports Analytics Market by Offering (Performance Analytics, Predictive Analytics, Video Analytics), Application (Player Performance Analysis, Tactical Analysis, Injury Risk Prediction, Fan Engagement, Social Media Analytics) – Global Forecast to 2030

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