The Rest Of Latin America Sports Analytics Market was valued at $22.2 Million in 2025 and projected to reach to $48.3 Million by 2030, representing a compound annual growth rate of 16.8%. Rest Of Latin America's sports analytics market is positioned for substantial growth through 2030, driven by increasing digitalization of sports operations and rising awareness of analytics' competitive value.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
Rest Of Latin America's sports analytics market is expanding at 16.8% CAGR, outpacing the global average of 15.7%, demonstrating accelerating regional adoption and investment in data-driven sports solutions.
The market is valued at $22.2 million in 2025 and is projected to more than double to $48.3 million by 2030, reflecting sustained confidence in analytics adoption across Latin American sports organizations.
Sports teams, leagues, and organizations throughout Rest Of Latin America are increasingly leveraging analytics for player performance optimization, injury prevention, and strategic competitive advantage.
Growing capital allocation toward sports analytics infrastructure and technology solutions is driving market expansion, with regional sports entities recognizing the competitive necessity of data analytics capabilities.
| 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.
Rest Of Latin America's sports analytics market is estimated at $22.2 million in 2025.
Rest Of Latin America's sports analytics market is forecasted to reach $48.3 million by 2030.
Rest Of Latin America's sports analytics market is expected to grow at a compound annual growth rate of 16.8% from 2025 to 2030.
Rest Of Latin America's market growth is driven by increased digital infrastructure investment, rising fan engagement through analytics, sports professionalization, and emerging technology adoption.
Rest Of Latin America's 16.8% CAGR outpaces the global sports analytics market CAGR of 15.7%, indicating stronger regional momentum.
This research study on the sports analytics market involved the use of extensive secondary sources, such as 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. 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.
Note: Tier 1 companies’ revenues are more than USD 10 billion; tier 2 companies’ revenues range
between USD 1 and 10 billion; and tier 3 companies’ revenues range between USD 500 million
and USD 1 billion. 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.
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.
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), socio-economic 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.
According to Catapult, sports analytics is the integration of data science and performance technology to support evidence-based decisions in sports. It involves collecting and analyzing real-time athlete data such as movement, load, and fatigue using video systems and software tools. The goal is to optimize individual and team performance, reduce injury risk, and refine tactical strategies. Catapult emphasizes removing guesswork from coaching by transforming raw performance data into clear, actionable insights. Its approach is deeply embedded in elite sport environments, enabling practitioners to track trends, benchmark results, and tailor interventions based on precision analytics.
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