AI In Sports Market Size, Share, Trends, Growth & Forecast 2034

AI in Sports Industry Perspective:

What will be the size of the global AI in sports market during the forecast period?

The global AI in sports market size was worth around USD 1.23 billion in 2024 and is predicted to grow to around USD 4.72 billion by 2034, with a compound annual growth rate (CAGR) of roughly 14.72% between 2025 and 2034.

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Key Insights:

• As per the analysis shared by our research analyst, the global AI in sports market is estimated to grow annually at a CAGR of around 14.72% over the forecast period (2025-2034)
• In terms of revenue, the global AI in sports market size was valued at around USD 1.23 billion in 2024 and is projected to reach USD 4.72 billion by 2034.
• The AI in sports market is projected to grow at a significant rate due to the rising demand for real-time insights during live matches.
• Based on the offering, the solutions segment is growing at a high rate and will continue to dominate the global market, as per industry projections
• Based on the sports type, the team sports segment is anticipated to command the largest market share
• Based on region, North America is projected to dominate the global market during the forecast period

AI in Sports Market: Overview

Artificial Intelligence (AI) in sports refers to the use of next-generation smart technologies to improve overall game strategies, athlete performance, and overall game experience. It leverages technologies such as big data, generative AI, and predictive analysis to help team owners and players improve game performance using real-time information. According to market research, Artificial Intelligence has witnessed applications across different aspects of sports, ranging from talent acquisition, training & coordination, strategy formation, predictive modeling, and fan engagement. The global demand for AI in sports is projected to grow, driven by several favorable factors. For instance, the growing demand for real-time data insights during live matches can help make improved coaching decisions.

Additionally, surging investments in AI development to enhance the fan experience may further work in favor of industry players. A major drawback for market players may emerge in the form of the high cost of the investment required for technology integration and the lack of skilled professionals with expertise in the optimal use of AI in the sports sector.

AI in Sports Market: Dynamics

Growth Drivers

Why will increased demand for real-time insights during live matches help influence growth in the AI in sports market?

The global AI in sports market growth rate is expected to grow due to rising demand for real-time insights during live matches. Some of the prominent advantages of real-time access to critical information include better decision-making during an ongoing game, the development of improved strategies, and enhanced fan engagement.

For instance, as per industry research, the National Football League (NFL) players use advanced analytics and wearable devices to track player performance indices such as fatigue, speed, and overload while they are on the field. The data thus available allows coaches to change their game decisions as early as possible for optimal results in the end. Tracking information in real-time facilitates offensive and defensive team strategies. The growing competitiveness in the global sports industry will facilitate improved demand for Artificial Intelligence designed specifically for the athletics industry.

Increased applications in sports operations and management to offer improved revenue to the industry players

A growing application of Artificial Intelligence in the sports sector has emerged in the form of the growing use of the technology for optimal operations and overall management of resources. AI is leveraged to automate complex sports-related tasks, including ticketing & revenue management, scheduling & resource planning, and security & crowd management.

For instance, in December 2025, Guesty, a global property management platform for the short-term-rental (STR) industry, announced the launch of a novel AI agent specially designed for revenue management. According to official reports, the program is the first embedded smart system that unifies policies, pricing, content performance, and availability into an actionable revenue management layer within the software developed by Guesty. Such advancements are expected to favor the global AI in sports market during the forecast period.

Restraints

Why will cost constraints emerge as critical growth barriers in the AI in sports industry?

The global AI in sports industry is projected to be restricted due to the high cost of technology implementation. For instance, the average cost of basic and entry-level AI for the sports sector can range from USD 35,000 to USD 150,000 or more. The overall expenses increase with the introduction of high-performance AI’s offering solutions such as advanced predictive analysis and an integrated data ecosystem. Sports teams or athletes with a limited budget may refrain from investing in AI technology due to expense-related barriers.

Opportunities

Growing focus on improving fan engagement and game experience to offer growth opportunities

The global AI in sports market is expected to generate higher revenue as the technology is increasingly used to enhance fan engagement and deliver a better game experience for spectators. For instance, insights offered by Artificial Intelligence are leveraged to tailor content depending on user preferences. The technology is also used to customize interactions and promotions by analyzing fan habits.

In December 2025, TECNO, a leading technology brand, announced the launch of football-focused AI features as the preparation for the Africa Cup of Nations 2025 intensified. The new AI features are expected to reshape how African fans experience the tournament. The Ella Match Decoder is expected to read real-time on-field tactical patterns and movements, thus offering simplified analytics to the regular spectators. A surge in the number of AI-powered chatbots & virtual assistants helping fans with event information and ticketing has gained global attention in the last few years, contributing to increased integration of AI in the sports industry.

Challenges

What challenges can AI in sports market players expect from the lack of skilled professionals?

The global AI in sports industry is projected to be challenged by the lack of sufficiently skilled professionals working in the market. The effectiveness of AI technology depends heavily on the expertise and skill level of the professionals managing the solutions. However, recent reports indicate a significant gap between demand and the availability of technical experts required for managing AI deployment and management. Additionally, the evolving landscape of AI technologies may further create growth barriers for industry leaders.

AI In Sports Market: Report Scope

AI in Sports Market: Segmentation

The global AI in sports market is segmented based on offering, technology, sports type, and region.

Based on offering, the global market segments are services and solutions. In 2024, the highest growth was listed in the solutions segment. It accounted for nearly 61% of total revenue in 2024 and is expected to deliver similar trends in the future. The rising demand for emerging AI solutions such as player monitoring, performance analytics, and game strategies will help accelerate segmental demand in the coming years.

Based on technology, the global AI in sports industry is divided into generative Artificial Intelligence (AI), natural language processing (NLP), deep learning, predictive analysis, computer vision, and big data & analytics.

Based on sports type, the global market divisions are esports, team sports, individual sports, and others. In 2024, the team sports segment was the leading revenue generator. The rising use of AI technologies across prominent team-based games such as football, basketball, and cricket is the leading contributor to the segmental revenue. Additionally, growing demand for real-time insights during live team-based games will further help the segment flourish.

AI in Sports Market: Regional Analysis

Why will North America continue to lead the AI in sports market during the projection period?

The global AI in sports market is projected to be dominated by North America during the projection period. In 2024, the region accounted for nearly 35.05% of the global revenue and is anticipated to deliver a CAGR of over 21.01% in the coming years. The presence of major sports leagues in countries such as the US and Canada will help accelerate the adoption of AI technologies in the regional sports sector. The US is the leading contributor to overall revenue in North America, driven by surging demand for real-time analytics during live games and personalized coaching.

Asia-Pacific is anticipated to emerge as the fastest-growing market with a CAGR of over 22.7% during the projection period. The rising popularity of team-based sports across major Asian countries such as China, India, and Japan will fuel regional expansion. Additionally, rising private and government-backed investments toward the digitalization of the regional sports industry may further help fuel regional revenue. Moreover, the booming esports industry across Asia-Pacific and the growing use of AI solutions in digital sports may create new opportunities for expansion in the Asia-Pacific sports sector.

AI in Sports Market: Competitive Analysis

The global AI in sports market is led by players like:

• Zebra Technologies
• Catapult Sports
• Genius Sports
• SkillCorner
• Kitman Labs
• Pixellot
• Second Spectrum
• WSC Sports
• Hudl
• Sportradar
• Zone7
• Keemotion
• Stats Perform
• Orreco
• PlaySight

AI in Sports Market: Key Market Trends

Integration of Virtual Reality (VR) and Augmented Reality (AR)

The rising integration of AI-powered VR and AR technologies to deliver an immersive gaming experience to the fans is a promising trend in the AI in sports industry. The AR/VR integration offers digital stadium tours and virtual interactions with athletes, among other advantages.

Innovation of sports equipment

There is a growing focus on leveraging AI to develop novel sports equipment with reduced injury risk. It includes developing equipment, such as aerodynamic shoes and smart helmets, to improve athlete performance.

The global AI in Sports market is segmented as follows:

By Offering

• Services
• Solution

By Technology

• Generative Artificial Intelligence (AI)
• Natural Language Processing (NLP)
• Deep Learning
• Predictive Analytics
• Computer Vision
• Big Data & Analytics

By Sports Type

• Esports
• Team Sports
• Individual Sports
• Others

By Region

• North America
  • The U.S.
  • Canada
• Europe
  • France 
  • The UK
  • Spain
  • Germany
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of Middle East & Africa