The Canada Sports Analytics Market was valued at $303.9 Million in 2025 and projected to reach to $598.7 Million by 2030, representing a compound annual growth rate of 14.5%. Canada's sports analytics market is positioned for sustained growth as professional sports organizations prioritize data-driven strategies to improve competitive performance and operational efficiency.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
Canada's sports analytics market is valued at $303.9 million in 2025, with a projected CAGR of 14.5%, reaching $598.7 million by 2030, demonstrating strong double-digit expansion.
Major Canadian sports organizations including NHL teams, CFL franchises, and MLS clubs are increasingly investing in advanced analytics platforms to enhance player performance and strategic decision-making.
Canada's strong sports culture combined with growing digital transformation initiatives is accelerating the adoption of analytics solutions across professional, collegiate, and amateur sports organizations.
Robust IT infrastructure and high digital literacy rates in Canada support the deployment of sophisticated analytics tools, real-time data processing, and cloud-based sports intelligence platforms.
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
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Team Liquid implemented SAP’s AI-powered analytics and data solutions to integrate gameplay, performance, and strategic data for esports analysis. SAP’s solutions enabled the organization to analyze large volumes of gameplay data, automate teamfight detection, support draft planning, and provide faster access to analytical insights through AI. | Reduced manual analysis, faster access to performance insights, improved match preparation, and more efficient decision-making. SAP reported that Team Liquid saved more than 10,000 working hours annually and approximately USD 250,000 through AI-powered analytics. (Source: SAP) |
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The OJHL adopted Sportlogiq’s iCE Elite platform across all 24 teams beginning in the 2025–26 season. The platform provided teams with video-based hockey analytics and more than 500 metrics used at the NHL level, including expected goals (xG), controlled zone entries and exits, and shot-location analysis. | Expanded access to professional-level hockey analytics, supported player development and game preparation, and enabled teams to generate more actionable performance insights. (Source: Sportlogiq) |
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TSG Hoffenheim co-innovated with SAP to test AI-supported scouting summaries within SAP Sports One and an AI-assisted scene-finder capability for video analysis. Scouts could use natural-language queries to summarize scouting reports and identify relevant match situations without manually searching extensive video footage. | Reduced manual scouting and video-search effort, improved consistency in player assessment, accelerated tactical analysis, and supported more informed scouting and coaching decisions. (Source: SAP News Center) |
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Chelsea FC used Catapult’s player-tracking and integrated performance-data and video solutions to connect athlete-specific performance metrics with training and match footage. The club used metrics such as acceleration load, high-speed work, and workload trends to provide greater context for player development and coaching decisions. | Improved contextual understanding of player workload and performance, more effective communication of insights to coaches and players, and better-informed training and player-development decisions. (Source: Catapult) |
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Spain’s men’s and women’s futsal national teams used Catapult wearable and video-analysis solutions during preparation for the 2024 FIFA Futsal World Cup. The teams used live player-performance, workload, speed, distance, and heart-rate information to monitor training and match performance. | Enabled real-time monitoring of player effort and workload, supported customized training programs, facilitated live adjustments, and helped coaches refine player preparation and tactical strategies. (Source: Catapult) |
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| Report Metric | Details |
|---|---|
| Base Year | 2025 |
| Fastest Growing Segment | CLOUD (Deployment Mode) |
| Forecast Period | 2025–2030 |
| Growth Rate | CAGR of 15.7% from 2025 to 2030 |
| Largest Segment | SOLUTIONS (Offering) |
| Market Size Base Year (Billions) | ~USD 2.29 (2025) |
| Revenue Forecast (Billions) | ~USD 4.75 (2030) |
| Segments Covered | Offering, Solution, Service, Professional Service, Deployment Mode, Sports Type, Team Sports, Individual Sports, Racing Sports, Online Or Virtual Sports, Emerging Sports, Application, End User |
13 segment dimensions are covered across the global market.
| Company | HQ | Ownership | Strongest segments |
|---|---|---|---|
| NEW RELIC, INC. | United States | Private Company | Performance Analytics,Predictive Analytics,Video Analytics, |
| IBM | United States | Public Company | Performance Analytics,Predictive Analytics,Video Analytics, |
| SAP | Germany | Public Company | Performance Analytics,Predictive Analytics,Video Analytics, |
| HCLTECH | India | Public Company | Performance Analytics,Predictive Analytics,Video Analytics, |
| ZEBRA TECHNOLOGIES | United States | Public Company | Performance Analytics (tracking hardware, sensors, RTLS feeding analytics),Predictive Analytics (workflow and prescriptive analytics applied to sports ops),Video Analytics (machine vision, fixed industrial scanners in sports contexts), |
| SPORTRADAR | Switzerland | Public Company | Performance Analytics,Predictive Analytics,Video Analytics, |
| EXL | United States | Public Company | Performance Analytics,Predictive Analytics,Video Analytics, |
| CHYRON | United States | Private Company | Video Analytics (incl. tracking, telestration, virtual placement),Performance Analytics,Predictive Analytics, |
| CATAPULT | Australia | Public Company | Performance Analytics (wearables, athlete monitoring, health),Video Analytics (tactics & coaching, editing, publishing),Predictive Analytics & Media/Other (athlete management, learning, media licensing), |
New Relic, Inc. is a private software company founded in 2007 and headquartered in the United States. With 2,383 employees, the company provides cloud-based monitoring and observability solutions for software applications and infrastructure.
IBM is a public technology company founded in 1911 and based in the United States. With 264,300 employees, IBM is a global leader in enterprise hardware, software, and IT services.
SAP is a public software company founded in 1972 and headquartered in Germany. With 111,038 employees, SAP develops enterprise resource planning (ERP) and business management software solutions.
HCLTech is a public information technology services company founded in 1976 and headquartered in India. The company delivers IT services, digital transformation, and business solutions to global clients.
Zebra Technologies is a public company founded in 1969 and based in the United States. With 10,700 employees, Zebra specializes in mobile computing, data capture, and enterprise visibility solutions.
Sportradar is a public company founded in 2001 and headquartered in Switzerland. The company specializes in sports data, analytics, and integrity services for the global sports industry.
EXL is a public company founded in 1999 and based in the United States. With 65,000 employees, EXL provides business process management, analytics, and digital transformation services.
Chyron is a private company founded in 1966 and based in the United States. With 190 employees, Chyron develops graphics, broadcast, and media technology solutions.
Catapult is a public company founded in 2006 and headquartered in Australia. With 940 employees, Catapult provides sports analytics, wearable technology, and performance intelligence solutions.
Canada's sports analytics market is valued at $303.9 million in 2025 and is projected to grow to $598.7 million by 2030.
Canada's sports analytics market is growing at a compound annual growth rate (CAGR) of 14.5% from 2025 to 2030.
Canada's major professional franchises in the NHL, NBA, CFL, and MLS are leading analytics adoption, alongside collegiate and amateur sports organizations.
Canada's market growth is driven by artificial intelligence, machine learning, real-time data processing, wearable sensors, and cloud-based analytics platforms.
Canada's market includes international vendors like Tableau and Microsoft, alongside Canadian firms and specialized sports analytics startups serving regional teams and leagues.
This research study on the sports analytics market involved extensive secondary sources, directories, IEEE Communication-efficient Algorithms and Systems, International Journal of Innovation and Technology Management, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred sports analytics providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews with primary respondents, including key industry participants and subject matter experts, were conducted to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.
In the secondary research process, various sources were referred to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors’ websites. Additionally, the sports analytics spending of various countries was extracted from the respective sources.
In the primary research process, various sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, such as Chief Experience Officers (CXOs), Vice Presidents (VPs), and directors specializing in business development, marketing, and sports analytics providers. It also included key executives from sports analytics solution and service vendors, system integrators (SIs), professional service providers, industry associations, and other key opinion leaders.
Breakup of primary profiles

Note: Tier 1 companies’ revenues are above USD 1 billion; tier 2 companies’ revenues range from USD 500 million to USD 1 billion; and tier 3 companies’ revenues are less than USD 500 million. Other designations include sales managers, marketing managers, and product managers.
Source: Industry Experts
To know about the assumptions considered for the study, download the pdf brochure
Multiple approaches were adopted to estimate and forecast the sports analytics market. The first approach involved estimating the market size by companies’ revenue generated through the sale of sports analytics solutions.
Market Size Estimation Methodology: Top-down Approach
In the top-down approach, an exhaustive list of all the vendors offering products in the sports analytics market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on offering, deployment mode, sports type, application, and region. The markets were triangulated through primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.
Market Size Estimation Methodology: Bottom-up Approach
In the bottom-up approach, the adoption rate of sports analytics solutions across various verticals in key countries within their respective regions was identified as the main contributor to the market share. Cross-validation revealed the adoption of sports analytics solutions among enterprises, along with various use cases by region. Weightage was given to use cases identified in different regions for the market size calculation.
Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included analyzing the sports analytics market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socioeconomic analysis of each country, strategic vendor analysis of major sports analytics providers, and organic and inorganic business development activities of regional and global players were estimated.

After determining the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. Data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and determine the exact statistics of each market segment and subsegment. The overall market size was used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Sports analytics refers to the use of data, analytical technologies, and performance-monitoring solutions to collect, integrate, analyze, and interpret sports-related data to support evidence-based decision-making. The market encompasses solutions and services that process data from player tracking systems, video analysis, wearable and biometric sensors, match statistics, and other performance technologies. Sports analytics enables organizations to evaluate player and team performance, monitor workloads, support injury prevention, optimize training and recovery, analyze tactical and competitive performance, enhance scouting and recruitment, and improve in-game decision-making. The market increasingly incorporates artificial intelligence, machine learning, predictive analytics, computer vision, and real-time data processing to transform complex sports data into actionable insights for teams, leagues, governing bodies, broadcasters, and other sports organizations.
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