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.
Free Valuable Insights: The Artificial Intelligence in Sports Market is Predict to reach USD 34.41 Billion by 2032, at a CAGR of 20.8%
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.
By Offering
By Sports Type
By Technology
By Country
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