Market Research Report

North America AI in Sports Market Research Report: Forecast (2026-2032)

North America AI in Sports Market - By Offering (Solution, Services), By Sports Type (Team Sports, Esports, Individual), By Technology (Generative AI (Gen AI), Other AI), By End-Us...er (Professional Sports Teams & Leagues, Amateur & College Sports, Media & Broadcasting, Fantasy Sports & Betting, Sportswear & Equipment Manufacturers, Others), and others Read more

  • ICT & Electronics
  • Nov 2025
  • Pages 165
  • Report Format: PDF, Excel, PPT

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North America AI in Sports Market

Projected 20.52% CAGR from 2026 to 2032

Study Period

2026-2032

Market Size (2025)

USD 2.68 billion

Market Size (2032)

USD 9.9 billion

Base Year

2025

Projected CAGR

20.52%

Leading Segments

By Offering: Solution

 

Source: MarkNtel Advisors

North America AI in Sports Market Size: Forecast (2026- 2032)

The North America AI in Sports Market size is valued at around USD 2.68 billion in 2025 and is projected to reach USD 9.9 billion by 2032. Along with this, the market is estimated to grow at a CAGR of around 20.52% during the forecast period, i.e., 2026-32.

North America AI in Sports Market Outlook:

The North America AI in Sports Market is poised for robust growth driven by increasing adoption of advanced analytics, performance monitoring systems, and fan engagement technologies. The region’s strong technological foundation, coupled with the presence of leading AI developers and professional sports leagues, has created an environment conducive to innovation. Major leagues such as the NBA, NFL, and NHL are actively leveraging AI for tactical insights, player health monitoring, and operational efficiency. For instance, in 2024, the NHL partnered with Amazon Web Services (AWS) to launch an AI-powered “Face-off Probability” tool that analyzes over 200,000 historical face-offs to predict outcomes before the puck drops.

Moreover, growing interest in enhancing fan interactivity through virtual broadcasting, predictive statistics, and immersive experiences is driving demand for AI-driven sports platforms. Wearable technology integration, real-time data analysis, and cloud-based analytics are empowering teams and training centers to make evidence-based decisions, improving both athletic performance and safety. The expanding ecosystem of AI vendors, sports franchises, and tech startups in North America is also fostering cross-industry collaborations. As a result, AI in sports is evolving from a supportive tool to a strategic asset, shaping the future of sports management, athlete training, and fan engagement across the region.

North America AI in Sports Market Recent Developments:

  • April 2025: University of Pittsburgh (Pitt), in collaboration with Amazon Web Services (AWS), launched the Health Sciences & Sports Analytics Cloud Innovation Center. This initiative uses AI and cloud technology to enhance athlete performance, predict injury risk, and train students for sports analytics careers.
  • August 2025: Cisco Systems announced new partnerships with six NFL franchises (including the Arizona Cardinals, Buffalo Bills, and Miami Dolphins) to deliver AI-ready infrastructure across venues. The move supports data-driven workflows, analytics, and secure operations in sports settings.

North America AI in Sports Market Scope:

 Category  Segments
By Offering Solution, Services),
By Sports Type Team Sports, Esports, Individual),
By Technology Generative AI (Gen AI), Other AI),
By End-User Professional Sports Teams & Leagues, Amateur & College Sports, Media & Broadcasting, Fantasy Sports & Betting, Sportswear & Equipment Manufacturers, Others), and others

North America AI in Sports Market Drivers:

Increasing Adoption of AI in Sports Injury Prediction and Rehabilitation

The growing use of AI for injury prediction and rehabilitation is emerging as a major driver in the North America AI in Sports Market. Sports teams and medical professionals increasingly rely on AI models to detect early signs of fatigue, stress, or potential injuries using motion tracking and predictive analytics. This approach minimizes downtime and enhances athlete longevity. For instance, the NFL, in partnership with Amazon Web Services (AWS), employs its “Digital Athlete” AI system to analyze player data, predict injury risks, and optimize recovery programs across all 32 teams, accelerating market adoption.

Growing Adoption of AI for Enhanced Fan Engagement and Immersive Sports Experience

The growing use of AI-driven solutions to personalize fan experiences is a major driver in the North America AI in Sports Market. Sports organizations increasingly leverage predictive analytics, virtual assistants, and generative AI tools to analyze fan behavior, tailor content, and enhance engagement. For instance, the NBA partnered with Microsoft Azure to develop a generative AI platform that delivers customized highlight reels, interactive match insights, and immersive fan experiences. Such initiatives are transforming viewership into participatory engagement, driving commercial opportunities and market expansion.



North America AI in Sports Market Trends:

Growing Adoption of AI-Powered Wearable Performance Analytics

The rising use of AI-integrated wearable devices is transforming athletic training and injury prevention across North America. Teams are leveraging AI-enabled sensors and tracking systems to monitor player workload, biomechanics, and fatigue in real time. This data-driven insight enhances performance optimization and reduces injury risks. For instance, according to Catapult Sports, professional teams increasingly use its Vector S7 and T7 systems to analyze player movements and improve training efficiency. As teams prioritize precision-based performance management, AI-powered wearables are becoming a central trend shaping the sports analytics ecosystem.

Rising Integration of Generative AI in Sports Broadcasting and Content Production

The adoption of generative AI in North American sports broadcasting is revolutionizing live production, replay analysis, and fan engagement. Broadcasters are increasingly using AI models to automate camera selection, generate highlight reels, and enhance real-time graphics. For instance, NVIDIA, in collaboration with FanDuel TV and Verizon, deployed NVIDIA Holoscan for Media and L40S GPUs to power a private 5G and edge-AI workflow that reduced latency by over 50% and enabled real-time camera prioritization. Such innovations highlight how AI is redefining efficiency and interactivity in modern sports broadcasting.

North America AI in Sports Market Challenges:

High Implementation Costs and Data Integration Complexities

The adoption of AI in sports across North America faces significant barriers due to high implementation costs and complex data integration requirements. Installing AI-powered analytics systems, wearable sensors, and advanced broadcasting infrastructure demands substantial investment, making it difficult for smaller clubs and collegiate programs to adopt. Moreover, integrating diverse data streams—from video feeds to biometric sensors into unified AI platforms poses technical challenges. For instance, Deloitte reported that over 45% of U.S. sports organizations cited budget limitations as a key obstacle to adopting AI-based technologies.

North America AI in Sports Market (2026-32) Segmentation Analysis:

The North America AI in Sports Market Report and Forecast 2026-2032 offers a detailed analysis of the market based on the following segments:

Based on the Offering

  • Solution
  •  Services

The solution segment dominates the North America AI in Sports Market as teams and organizations increasingly rely on AI-driven platforms for performance analysis, tactical insights, and fan engagement. The region’s strong technological infrastructure and early AI adoption support this dominance. For instance, in 2025, IBM’s WatsonX AI was integrated into multiple U.S. sports analytics platforms to enhance predictive modeling and game analysis accuracy. Such AI-based solutions enable real-time decision-making and reduce manual workloads, positioning solution providers at the forefront of innovation and ensuring sustained demand across professional and collegiate sports programs.

Based on End-User

  • Professional Sports Teams & Leagues
  • Amateur & College Sports
  • Media & Broadcasting
  • Fantasy Sports & Betting
  • Sportswear & Equipment Manufacturers
  • Others

The Professional Sports Teams & Leagues segment dominates the North America AI in Sports Market due to strong adoption of AI technologies for tactical analysis, player tracking, and injury prevention. Major U.S. leagues such as the NFL, NBA, and MLB are deploying advanced analytics platforms to gain real-time insights and competitive advantages. For example, Stats Perform expanded its Opta Vision AI platform across North American leagues, integrating computer vision and predictive analytics to enhance performance insights. This large-scale AI adoption reinforces professional teams as primary market growth drivers

Leading Players of the North America AI in Sports Market :

  • Microsoft Corporation

Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a key player in integrating AI into sports analytics and broadcasting. Its Azure AI and Microsoft Cloud for Sports platforms enable real-time data processing, fan engagement, and performance insights. The company partners with major leagues like the NBA and NFL to enhance digital fan experiences, optimize team strategies, and improve operational efficiency through advanced AI and data-driven technologies.

  • International Business Machines Corporation (IBM)

Established in 1911 and headquartered in Armonk, New York, IBM has been instrumental in introducing AI-based solutions across sports organizations through its Watson AI platform. IBM’s WatsonX provides predictive analytics and automated insights to improve decision-making in player management, media production, and fan engagement. Its collaboration with the U.S. Open leverages AI for match analysis and highlight generation, demonstrating its growing influence in North American sports technology.

  • Catapult Group International Ltd.

Founded in 2006 and headquartered in Melbourne, Australia, Catapult is a leading provider of AI-powered wearable performance analytics used widely across North American professional sports teams. Its flagship products, Vector T7 and S7, provide real-time athlete tracking and workload monitoring, enabling teams to optimize training and minimize injuries. The company’s growing partnerships with NFL and NBA franchises highlight its strong regional presence in sports performance technology.

Sportradar AG, SAP SE, Oracle Corporation, Pixellot Ltd., SwingVision, Zone7, Sportlogiq, NEX, Genius Sports, Second Spectrum, Hudl, Zebra Technologies, Kinexon Sports, Vicon Motion Systems, and others are the key players of the North America AI in Sports Market.  

North America AI in Sports (2026-32): Regional Projection

The North America AI in Sports Market is dominated by the United States, driven by its advanced sports technology ecosystem, high investments in AI-driven analytics, and strong presence of professional leagues like the NFL, NBA, and MLB. The U.S. leads in adopting AI for player performance optimization, injury prevention, and fan engagement. For instance, in April 2025, the University of Pittsburgh, in collaboration with Amazon Web Services (AWS), launched the Health Sciences & Sports Analytics Cloud Innovation Center to enhance data-driven athletic performance across U.S. universities and sports organizations.

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Frequently Asked Questions

   A. The North America AI in Sports Market is expected to grow at a compound annual growth rate (CAGR) of around 20.52% over the forecast period.

   A. The North America AI in Sports Market size is valued at around USD2.68 billion in 2025 and is projected to reach USD9.9 billion by 2032.

   A. Increasing adoption of AI in sports injury prediction and rehabilitation is expected to drive the North America AI in Sports Market during 2026-32.

   A. The Microsoft Corporation, International Business Machines Corporation (IBM), Catapult Group International Ltd., Sportradar AG, SAP SE, Oracle Corporation, Pixellot Ltd., SwingVision, Zone7, Sportlogiq, NEX, Genius Sports, Second Spectrum, Hudl, Zebra Technologies, Kinexon Sports, Vicon Motion Systems, and others are the top companies in the North America AI in Sports Market.

   A. The solution segment held the largest share of the North America AI in Sports Market.

   A. Growing adoption of AI-Powered wearable performance analytics is the key trend shaping the growth of the North America AI in Sports Market.

   A. High implementation costs and data integration complexities are the possible restraints affecting the growth of the North America AI in Sports Market.

  1. Market Segmentation
  2. Introduction
    1. Product Definition
    2. Research Process
    3. Assumptions
  3. Executive Summary
  4. North America AI in Sports Market Policies, Regulations, and Product Standards
  5. North America AI in Sports Market Supply Chain Analysis
  6. North America AI in Sports Market Trends & Developments
  7. North America AI in Sports Market Dynamics
    1. Growth Drivers
    2. Challenges
  8. North America AI in Sports Market Hotspot & Opportunities
  9. North America AI in Sports Market Outlook, 2020-2032
    1. Market Size & Outlook
      1. By Revenues (USD Million)
      2. By Volume (Million Tons)
    2. Market Share & Outlook
      1. By Offering
        1. Solution- Market Size & Forecast 2020-2032F, USD Million
        2. Services- Market Size & Forecast 2020-2032F, USD Million
      2. By Sports Type
        1. Team Sports- Market Size & Forecast 2020-2032F, USD Million
        2. Esports- Market Size & Forecast 2020-2032F, USD Million
        3. Individual- Market Size & Forecast 2020-2032F, USD Million
      3. By Technology
        1. Generative AI (Gen AI)- Market Size & Forecast 2020-2032F, USD Million
        2. Other AI- Market Size & Forecast 2020-2032F, USD Million
      4. By End-User
        1. Professional Sports Teams & Leagues- Market Size & Forecast 2020-2032F, USD Million
        2. Amateur & College Sports- Market Size & Forecast 2020-2032F, USD Million
        3. Media & Broadcasting- Market Size & Forecast 2020-2032F, USD Million
        4. Fantasy Sports & Betting- Market Size & Forecast 2020-2032F, USD Million
        5. Sportswear & Equipment Manufacturers- Market Size & Forecast 2020-2032F, USD Million
        6. Others- Market Size & Forecast 2020-2032F, USD Million
      5. By Region
        1. United States
        2. Canada
        3. Mexico
      6. By Company
        1. Company Revenue Shares
        2. Competitor Characteristics
  10. North America Solution AI in Sports Market Outlook, 2020-2032
    1. Market Size & Analysis
      1. Market Revenues (USD Million)
    2. Market Share & Analysis
      1. By Sports Type- Market Size & Forecast 2020-2032F, USD Million
      2. By Technology- Market Size & Forecast 2020-2032F, USD Million
      3. By End-User- Market Size & Forecast 2020-2032F, USD Million
  11. North America Services AI in Sports Market Outlook, 2020-2032
    1. Market Size & Analysis
      1. Market Revenues (USD Million)
    2. Market Share & Analysis
      1. By Distribution Channel- Market Size & Forecast 2020-2032F, USD Million
      2. By End-User- Market Size & Forecast 2020-2032F, USD Million
  12. North America AI in Sports Market Key Strategic Imperatives for Success & Growth
  13. Competition Outlook
    1. Company Profiles
      1. Microsoft Corporation
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      2. International Business Machines Corporation (IBM)
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      3. Catapult Group International Ltd.
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      4. Sportradar AG
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      5. SAP SE
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      6. Oracle Corporation
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      7.  Pixellot Ltd.
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      8. SwingVision
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      9. Zone7
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      10. Sportlogiq
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      11. NEX
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      12. Genius Sports
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      13. Second Spectrum
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      14. Hudl
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      15. Zebra Technologies
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      16. Kinexon Sports
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      17. Vicon Motion Systems
        1. Business Description
        2. Product Portfolio
        3. Strategic Alliances or Partnerships
        4. Recent Developments
        5. Financial Details
        6. Others
      18. Others
  14. Disclaimer


MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

Data Trangulation

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making