North America AI in Sports Market Trends: Growth, Share, Value, Size, and Analysis By 2032

As per MarkNtel Advisors 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 Systems Market Outlook:

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Explore the Insights – Download a Free Sample:  https://www.marknteladvisors.com/query/request-sample/ai-sports-market-north-america

North America AI in Sports Market Systems Market Segmentation:

By Offering

-Solution- Market Size & Forecast 2020-2032F, USD Million

-Services- Market Size & Forecast 2020-2032F, USD Million

By Sports Type

-Team Sports- Market Size & Forecast 2020-2032F, USD Million

-Esports- Market Size & Forecast 2020-2032F, USD Million

-Individual- Market Size & Forecast 2020-2032F, USD Million

By Technology

-Generative AI (Gen AI)- Market Size & Forecast 2020-2032F, USD Million

-Other AI- Market Size & Forecast 2020-2032F, USD Million

By End-User

-Professional Sports Teams & Leagues- Market Size & Forecast 2020-2032F, USD Million

-Amateur & College Sports- Market Size & Forecast 2020-2032F, USD Million

-Media & Broadcasting- Market Size & Forecast 2020-2032F, USD Million

-Fantasy Sports & Betting- Market Size & Forecast 2020-2032F, USD Million

-Sportswear & Equipment Manufacturers- Market Size & Forecast 2020-2032F, USD Million

-Others- Market Size & Forecast 2020-2032F, USD Million

By Region

-United States

-Canada

-Mexico.

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Comprehensive Analysis: Preview detailed market analysis, including segmentation, competitive landscape, and Geographical insights – https://www.marknteladvisors.com/research-library/ai-sports-market-north-america

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.

Report Highlights Essential Insights for Strategic Decision-Making

• Detailed market size, share, and forecast analysis
• In-depth pricing trends and segment-wise cost evaluations
• Key industry strategies, including innovation, partnerships, and acquisitions
• Critical value chain analysis and stakeholder profiling
• Regional import-export market insights and trade flow assessment
• Thorough competitive benchmarking of top hearing aid manufacturers
• Identification of new growth opportunities and niche market segments
• Overview of market trends, drivers, and challenges shaping future demand

Some of the leading players in the North America AI in Sports Market are:

Sportradar AG, SAP SE, Oracle Corporation, Pixellot Ltd., SwingVision, Zone7, Sportlogiq, NEX, Genius Sports, Second Spectrum, Hudl, Zebra Technologies, Kinexon Sports, Vicon Motion Systems,

Research Methodology Summary

A systematic approach is used to ensure accurate market insights, combining both bottom-up and top-down methods. Data triangulation validates findings from multiple angles.

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About us

MarkNtel Advisors is a global research and consulting leader providing actionable intelligence across the ICT & electronics industry, spanning electronic equipment & services, software, and digital infrastructure. We analyze the impact of technologies like AI, IoT, and cloud computing on global business ecosystems. Through Consulting Services, we help technology providers and investors interpret emerging market data, refine digital strategies, and adapt to continuous innovation cycles in the connected economy.

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