Artificial Intelligence in Sports Market Set to Reach $2.61 Billion by 2030

 The Artificial Intelligence in Sports market, valued at USD 1.03 billion in 2024, is anticipated to reach USD 2.61 billion by 2030, with a CAGR of 16.7% over the forecast period.

AI is revolutionizing the sports industry by enhancing various aspects such as player performance, fan engagement, operations, and decision-making. For instance, AI-driven player analytics are used real-time to prevent injuries, while predictive algorithms help optimize game strategies. Additionally, AI is improving fan experiences through personalized content and interactive features. The market is also evolving with the rise of smart stadiums, automatic content creation, and the integration of augmented and virtual reality. These advancements are transforming the sports sector, opening up new opportunities for growth and greater participation.

Download PDF Brochure@ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=122129412

Key Growth Accelerators:

Explosion of Data Availability:
The proliferation of wearables, tracking systems, and fan engagement platforms is generating massive datasets. AI leverages this data to deliver actionable insights for player performance, injury prediction, and fan personalization. For example, the NBA uses player tracking and Catapult Sports’ wearables to optimize training and prevent injuries.

Performance Analytics & Injury Prevention:
AI-powered tools monitor athlete fitness, analyze movement, and recommend tailored regimens. Predictive analytics help teams strategize and minimize injury risks, directly impacting win rates and player longevity.

Generative AI & Fan Engagement:
Generative AI enables personalized content, virtual replays, AR/VR experiences, and immersive virtual tours—making sports more interactive and deepening fan loyalty. IBM’s partnership with UFC is a leading example of using AI for personalized fan experiences.

Broadcast & Content Innovation:
AI automates highlight generation, delivers real-time analytics, and personalizes content for viewers, transforming sports broadcasting and sponsor value.

Operational Efficiency:
AI streamlines crowd management, ticketing, and scheduling. AWS’s AI-driven analytics for the Bundesliga demonstrates how AI is becoming indispensable for league operations.

Rising Popularity of eSports:
AI solutions analyze gameplay and provide real-time feedback, rapidly advancing skill and tactical development in eSports.

Asia-Pacific Growth:
APAC is set for the fastest growth driven by rapid tech adoption, government investment, and a large youth population in China, India, and Japan

By Sports Type, e-Sports is expected to hold the highest growth rate during the forecast period.

The e-sports sector is expected to grow significantly faster than other gaming categories, primarily due to its digital nature, which allows AI technologies to be seamlessly integrated into the virtual environment. For example, AI competitors developed by Google and OpenAI have been used in high-profile contests, such as the Dota 2 competition, where an OpenAI bot played against professional gamers.

Moreover, performance evaluation has also become more efficient with AI systems that focus on analytics. AI has revolutionized performance evaluation in e-sports by analyzing large datasets to identify trends and opponent strategies. e-Sports teams use this data to refine their gameplay in real time. Mobalytics, an American e-sports company, for instance, leverages AI to provide personalized insights, helping gamers improve their performance by highlighting strengths and areas for growth.

Furthermore, AI is also transforming the experience of players in virtual games. Anaconda, an operating system for AI, supports AHDS (Artificial Human Decision Systems) by making content recommendations and facilitating chat moderation on platforms like Twitch, enhancing the quality of the gaming experience. Adopting AI-driven systems is particularly beneficial given the highly informed and digitally active audience of e-Sports. This quick and seamless integration helps grow the market by attracting more players and enhancing their engagement.

Based on End User, Sports Teams segment will hold the largest market size during the forecast period.

The sports teams segment is projected to account for the largest market size in AI in Sports market during the forecast period owing to its actual implementation in enhancing performance, conceptualizing strategies, and engaging fans. Teams have begun employing AI-driven systems such as performance analysis systems and injury preventive systems to remain competitive. For instance, Machester City, a football team, applies the tactical analysis of AI where they can change strategies during a match.

Moreover, AI is improving decision-making in data-intensive areas such as talent scouting. For example, systems like IBM’s Watsonx assess a player's potential based on statistics and determine which teams would be the best fit. Wearable technologies in sports, such as those from Catapult Sports, use intelligent AI systems to monitor a player’s on-field performance and health metrics, enhancing training processes and helping to reduce injuries.

Another important factor is fan engagement. AI programs, such as chatbots and recommendation engines, enhance engagement and lead to increased sales of tickets and merchandise. For instance, NBA teams and other American sports organizations have implemented AI technology to enhance fan interaction with the team through 3D technology.

By Offering, solutions are expected to hold the highest market share during the forecast period.

The solutions segment of the AI in sports market is expected to maintain the largest share during the forecast period due to their practical applications in enhancing performance, strategies, and fan engagement. Solutions such as advanced analytics platforms, computer vision tools, and predictive modeling are designed to deliver intelligent insights that support informed decision-making.

For instance, Catapult analytical platform is an example of analytics suite that most teams use to track the players' performance, control injuries, and adjust training regimes. In the same way, computer vision technology from HawkEye Company in sports is used to make calls during the game using real-time information, for example, goal line technology in soccer. Furthermore, it also helps coaches and the entire team create methods for the games through game analysis by using predictive analytics and looking at previous and current statistics to foresee what the other team will do.

These solutions combine AI features with devices such as cameras and wearables to form an integrated system that improves productivity. Teams and organizations are implementing more of these tools powered by AI to enhance the competitive edge and provide rich experiences for the audiences, for instance, through personalized content suggestions or active participation during live events.

Top Key Companies in AI in Sports Market:

The major vendors covered in the AI in Sports market are GlobalStep (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), HUDL (US), Oracle (US), Stats Perform (US), EXL (US), Sportradar AG (Switzerland), HCL Technologies (India), Salesforce (US), SAS Institute (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the AI in Sports market.

About MarketsandMarkets™

MarketsandMarkets™ has been recognized as one of America's Best Management Consulting Firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe.

Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem.

The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the 'GIVE Growth' principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts.

To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter , LinkedIn and Facebook .

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.

1615 South Congress Ave.

Suite 103, Delray Beach, FL 33445

USA: +1-888-600-6441

Email: sales@marketsandmarkets.com

Visit Our Website: https://www.marketsandmarkets.com/

Comments

Post a Comment

Popular posts from this blog

Metaverse in Gaming Market Growth to $119.2 Billion by 2028

  The global Metaverse in gaming market growth is projected to expand from USD 22.7 billion in 2023 to USD 119.2 billion by 2028, registering a CAGR of 39.3% over the forecast period. The Metaverse in gaming Market is fuelled by rising demand for online gaming. The substantial global in-game metaverse market suggests many consumers are familiar and comfortable with making transactions in virtual worlds, which sets the stage for more commerce (market growth) to shift towards gaming metaverse experiences. AR and VR headsets will continue to be the primary choice for immersive interactive gaming metaverse experiences for quite some time, but less intrusive technologies will become more common in the near future. Glasses-free display technologies and holographic projection is already gaining traction and will mature to become a more common gaming metaverse gateway. Download PDF Brochure@   https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=15811534 By component, hardware seg...
Read more

Market for Phishing Protection to Reach $4.1 Billion by 2028

The global market for phishing protection is projected to expand from USD 2.2 billion in 2023 to USD 4.1 billion by 2028, achieving a compound annual growth rate (CAGR) of 13.5%. Download PDF Brochure@ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=103391093 The driving force behind the rapid expansion of the phishing protection market is rooted in the persistent and adaptive nature of cyber threats, particularly the escalating sophistication of phishing attacks. Organizations are compelled to bolster their cybersecurity defenses as they grapple with the growing diversity of deceptive tactics cybercriminals employ. The prevalence of remote work arrangements and the expanding attack surface in an increasingly interconnected digital landscape further accentuate the urgency for robust phishing protection measures. The intensified regulatory landscape and the need to ensure compliance with data protection regulations fuels the demand for advanced cybersecurity solutions. In th...
Read more

Global Small Language Models Market Worth $5.45 Billion by 2032

  The Global Small Language Model Market is forecasted to rise substantially from USD 0.93 billion in 2025 to USD 5.45 billion by 2032, registering a CAGR of 28.7%. With the growing demand for domain-specific AI that prioritizes performance over computational complexity, the Small Language Model (SLM) market is gaining momentum. In contrast to Large Language Models (LLMs), SLMs are tailored for deployment on low-power devices, facilitating real-time processing and improved data privacy without a heavy dependency on cloud infrastructure. Efforts and accuracy in model compression techniques such as pruning, quantization or knowledge distillation are further growing the market. Additionally, the rising demand for privacy-focused AI models and specialized applications in sectors like healthcare, finance, manufacturing, and legal industries is driving adoption. OpenAI, Microsoft, Meta, and Cohere are among the leading technology providers that have invested heavily in scalable, flexibl...
Read more