
North America Artificial Intelligence in Sports Market Size, Share & Industry Analysis Report By Offering (Solution and Services), By Sports Type (Team Sports, Esports, and Individual), By Technology (Gen AI and Other AI), By Country and Growth Forecast,
Description
The North America Artificial Intelligence in Sports Market would witness market growth of 20.0% CAGR during the forecast period (2025-2032).
The US market dominated the North America Artificial Intelligence in Sports Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $8,494 million by 2032. The Canada market is experiencing a CAGR of 22.5% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 21.6% during (2025 - 2032).
AI also adds value in media production and content generation. Using natural language processing (NLP) and computer vision, AI can automatically generate match summaries, post-game reports, and player profiles. Broadcasters use AI tools to identify compelling highlights in real time and push them across digital channels, keeping fans engaged beyond the live event. These innovations enhance storytelling and reduce production costs while maintaining high-quality output.
In the context of sports betting and fantasy leagues, AI is playing a pivotal role by analyzing massive datasets to produce accurate predictions. These systems assess player form, game context, historical matchups, and even weather patterns to forecast outcomes. For fantasy league players, AI-driven platforms suggest roster changes, assess injury risks, and simulate game scenarios, bringing a competitive edge to amateur analysts. The increased accuracy and automation elevate the gaming experience, attracting a broader audience and driving monetization opportunities.
Canada’s AI-in-sports market is emerging steadily, driven by an intersection of academic research, institutional support, and evolving demand from professional and amateur sports organizations. While not as commercially advanced as the United States, Canada offers a robust foundation built on its strong university system, growing tech sector, and a deep-rooted national passion for sports like hockey and soccer. Several AI startups and university-affiliated research groups have begun offering performance analysis solutions, focusing on injury prediction, real-time player tracking, and video analytics. Mexico’s AI-in-sports market is in the early stages of development, gradually gaining momentum through expanding broadcast capabilities, digital sports ventures, and rising interest in fan engagement technologies. Football (soccer) dominates the Mexican sports landscape, and clubs within Liga MX are beginning to adopt AI-powered tools for tactical analysis, injury prevention, and match preparation. While adoption at the club level remains uneven, the growing use of computer vision and real-time data feeds is slowly transforming how coaches and analysts approach training and in-game decisions.
In the broader North American region outside the United States, Canada, and Mexico—which includes Caribbean nations and parts of Central America—AI adoption in sports is at an exploratory stage, driven primarily by localized innovation, educational initiatives, and the rising influence of digital media. While these markets lack the scale or financial muscle of their larger neighbors, they are increasingly adopting mobile-first and cloud-based AI solutions tailored to local needs.
Based on Offering, the market is segmented into Solution and Services. Based on Sports Type, the market is segmented into Team Sports, Esports, and Individual. Based on Technology, the market is segmented into Gen AI and Other AI. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
By Offering
The US market dominated the North America Artificial Intelligence in Sports Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $8,494 million by 2032. The Canada market is experiencing a CAGR of 22.5% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 21.6% during (2025 - 2032).
AI also adds value in media production and content generation. Using natural language processing (NLP) and computer vision, AI can automatically generate match summaries, post-game reports, and player profiles. Broadcasters use AI tools to identify compelling highlights in real time and push them across digital channels, keeping fans engaged beyond the live event. These innovations enhance storytelling and reduce production costs while maintaining high-quality output.
In the context of sports betting and fantasy leagues, AI is playing a pivotal role by analyzing massive datasets to produce accurate predictions. These systems assess player form, game context, historical matchups, and even weather patterns to forecast outcomes. For fantasy league players, AI-driven platforms suggest roster changes, assess injury risks, and simulate game scenarios, bringing a competitive edge to amateur analysts. The increased accuracy and automation elevate the gaming experience, attracting a broader audience and driving monetization opportunities.
Canada’s AI-in-sports market is emerging steadily, driven by an intersection of academic research, institutional support, and evolving demand from professional and amateur sports organizations. While not as commercially advanced as the United States, Canada offers a robust foundation built on its strong university system, growing tech sector, and a deep-rooted national passion for sports like hockey and soccer. Several AI startups and university-affiliated research groups have begun offering performance analysis solutions, focusing on injury prediction, real-time player tracking, and video analytics. Mexico’s AI-in-sports market is in the early stages of development, gradually gaining momentum through expanding broadcast capabilities, digital sports ventures, and rising interest in fan engagement technologies. Football (soccer) dominates the Mexican sports landscape, and clubs within Liga MX are beginning to adopt AI-powered tools for tactical analysis, injury prevention, and match preparation. While adoption at the club level remains uneven, the growing use of computer vision and real-time data feeds is slowly transforming how coaches and analysts approach training and in-game decisions.
In the broader North American region outside the United States, Canada, and Mexico—which includes Caribbean nations and parts of Central America—AI adoption in sports is at an exploratory stage, driven primarily by localized innovation, educational initiatives, and the rising influence of digital media. While these markets lack the scale or financial muscle of their larger neighbors, they are increasingly adopting mobile-first and cloud-based AI solutions tailored to local needs.
Based on Offering, the market is segmented into Solution and Services. Based on Sports Type, the market is segmented into Team Sports, Esports, and Individual. Based on Technology, the market is segmented into Gen AI and Other AI. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
- IBM Corporation
- Microsoft Corporation
- Trumedia Networks, Inc.
- Google LLC (Alphabet Inc.)
- SAP SE
- Stats Perform Group
- SAS Institute Inc.
- Oracle Corporation
- Sportradar Group AG
- Catapult Group International Ltd.
By Offering
- Solution
- Services
- Team Sports
- Esports
- Individual
- Gen AI
- Other AI
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
157 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Artificial Intelligence in Sports Market, by Offering
- 1.4.2 North America Artificial Intelligence in Sports Market, by Sports Type
- 1.4.3 North America Artificial Intelligence in Sports Market, by Technology
- 1.4.4 North America Artificial Intelligence in Sports Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key Highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2024
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Feb – 2024, Nov) Leading Players
- 4.5 Porter Five Forces Analysis
- Chapter 5. Value Chain Analysis of Artificial Intelligence in Sports Market
- 5.1 Inbound Logistics
- 5.2 Operations
- 5.3 Outbound Logistics
- 5.4 Marketing and Sales
- 5.5 Services
- Chapter 6. Key Costumer Criteria - Artificial Intelligence in Sports Market
- Chapter 7. North America Artificial Intelligence in Sports Market by Offering
- 7.1 North America Solution Market by Country
- 7.2 North America Services Market by Country
- Chapter 8. North America Artificial Intelligence in Sports Market by Sports Type
- 8.1 North America Team Sports Market by Country
- 8.2 North America Esports Market by Country
- 8.3 North America Individual Market by Country
- Chapter 9. North America Artificial Intelligence in Sports Market by Technology
- 9.1 North America Gen AI Market by Country
- 9.2 North America Other AI Market by Country
- Chapter 10. North America Artificial Intelligence in Sports Market by Country
- 10.1 US Artificial Intelligence in Sports Market
- 10.1.1 US Artificial Intelligence in Sports Market by Offering
- 10.1.2 US Artificial Intelligence in Sports Market by Sports Type
- 10.1.3 US Artificial Intelligence in Sports Market by Technology
- 10.2 Canada Artificial Intelligence in Sports Market
- 10.2.1 Canada Artificial Intelligence in Sports Market by Offering
- 10.2.2 Canada Artificial Intelligence in Sports Market by Sports Type
- 10.2.3 Canada Artificial Intelligence in Sports Market by Technology
- 10.3 Mexico Artificial Intelligence in Sports Market
- 10.3.1 Mexico Artificial Intelligence in Sports Market by Offering
- 10.3.2 Mexico Artificial Intelligence in Sports Market by Sports Type
- 10.3.3 Mexico Artificial Intelligence in Sports Market by Technology
- 10.4 Rest of North America Artificial Intelligence in Sports Market
- 10.4.1 Rest of North America Artificial Intelligence in Sports Market by Offering
- 10.4.2 Rest of North America Artificial Intelligence in Sports Market by Sports Type
- 10.4.3 Rest of North America Artificial Intelligence in Sports Market by Technology
- Chapter 11. Company Profiles
- 11.1 IBM Corporation
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Regional & Segmental Analysis
- 11.1.4 Research & Development Expenses
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Partnerships, Collaborations, and Agreements:
- 11.1.6 SWOT Analysis
- 11.2 Microsoft Corporation
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental and Regional Analysis
- 11.2.4 Research & Development Expenses
- 11.2.5 Recent strategies and developments:
- 11.2.5.1 Partnerships, Collaborations, and Agreements:
- 11.2.5.2 Acquisition and Mergers:
- 11.2.6 SWOT Analysis
- 11.3 Trumedia Networks, Inc.
- 11.3.1 Company Overview
- 11.4 Google LLC (Alphabet Inc.)
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental and Regional Analysis
- 11.4.4 Research & Development Expenses
- 11.4.5 Recent strategies and developments:
- 11.4.5.1 Partnerships, Collaborations, and Agreements:
- 11.4.6 SWOT Analysis
- 11.5 SAP SE
- 11.5.1 Company Overview
- 11.5.2 Financial Analysis
- 11.5.3 Regional Analysis
- 11.5.4 Research & Development Expense
- 11.5.5 Recent strategies and developments:
- 11.5.5.1 Partnerships, Collaborations, and Agreements:
- 11.5.6 SWOT Analysis
- 11.6 Stats Perform Group
- 11.6.1 Company Overview
- 11.6.2 Recent strategies and developments:
- 11.6.2.1 Partnerships, Collaborations, and Agreements:
- 11.6.2.2 Product Launches and Product Expansions:
- 11.7 SAS Institute, Inc.
- 11.7.1 Company Overview
- 11.7.2 Recent strategies and developments:
- 11.7.2.1 Acquisition and Mergers:
- 11.7.3 SWOT Analysis
- 11.8 Oracle Corporation
- 11.8.1 Company Overview
- 11.8.2 Financial Analysis
- 11.8.3 Segmental and Regional Analysis
- 11.8.4 Research & Development Expense
- 11.8.5 SWOT Analysis
- 11.9 Sportradar Group AG
- 11.9.1 Company Overview
- 11.9.2 Financial Analysis
- 11.9.3 Regional Analysis
- 11.9.4 Recent strategies and developments:
- 11.9.4.1 Partnerships, Collaborations, and Agreements:
- 11.10. Catapult Group International Limited
- 11.10.1 Company Overview
- 11.10.2 Financial Analysis
- 11.10.3 Segmental and Regional Analysis
- 11.10.4 Recent strategies and developments:
- 11.10.4.1 Partnerships, Collaborations, and Agreements:
- 11.10.4.2 Product Launches and Product Expansions:
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.