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The artificial intelligence (ai) in sports market size is forecast to increase by USD 6.42 billion at a CAGR of 33.13% between 2023 and 2028.
The artificial intelligence in sport market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
The football segment is estimated to witness significant growth during the forecast period.
In the dynamic world of sports, Artificial Intelligence (AI) is revolutionizing various aspects, from recruitment and scouting to fan engagement. The football segment dominates the global AI market due to the integration of technologies like IoT devices, GPS trackers, and computer vision algorithms for player and ball movement tracking. Machine learning platforms, text analytics, robotic process automation, image and video analysis, deep learning, and speech recognition are driving growth. AI-powered coaching, predictive modeling, and performance measurement offer personalized training plans, while natural language processing facilitates social media integration and fan experience enhancement. Sports betting, fantasy sports, and sponsorship management also benefit from AI's predictive capabilities.
Smart stadiums, skill development, and sports governance are further areas of application. Computer vision, deep learning, and data-driven decision making optimize game strategy, performance, and fan engagement. Wearable technology, player health monitoring, and injury prediction are essential for athlete performance analysis and sports medicine. AI's role extends to referee assistance, fraud detection, ticket sales, and even game development with virtual athletes. The rise of AI in sports is a testament to the industry's embrace of technology, fostering a more immersive, harmonious, and data-driven sports ecosystem.
The Football segment was valued at USD 514.10 billion in 2018 and showed a gradual increase during the forecast period.
North America is estimated to contribute 31% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
In the dynamic world of sports, Artificial Intelligence (AI) is increasingly becoming a game-changer. Across North America, the use of AI is gaining momentum, driven by advanced economies such as the US and Canada. AI applications in sports span various sectors, from recruitment and scouting to player health and fan engagement. Management software in major sports events is a significant growth factor for the AI market in North America. AI-powered tools assist in fitness monitoring, motion capture, personalized recommendations, and game strategy optimization. Machine learning algorithms enable predictive modeling and performance measurement, while computer vision and deep learning facilitate athlete performance analysis and skill assessment.
The US market is particularly active, with a growing emphasis on technological developments and increased adoption rates. AI applications include sports analytics, wearable technology, and virtual athletes, all contributing to data-driven decision making and real-time analysis. Smart stadiums, sponsorship management, and team management systems are other areas where AI is making an impact. Injury prediction, fraud detection, and fan experience enhancement are other applications of AI in sports. AI-powered coaching and player tracking systems help optimize training regimens and performance. Sports broadcasting and ticket sales also benefit from AI, with automated replay systems, fan engagement, and ticket pricing based on demand.
AI's integration with natural language processing, gaming simulations, and social media further expands its reach. Fantasy sports, skill development, and sports governance are additional sectors where AI is making a mark. The future of AI in sports is promising, with continuous innovation and advancements in technology.
Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The artificial intelligence in sport market is transforming athletic performance and fan experiences through cutting-edge technologies. Solutions like AI analytics for player performance in sports and real-time data analytics for sports teams are optimizing training and game strategies. AI-powered injury prevention in athletics and wearable AI technology for player monitoring enhance athlete safety and health. Leagues are adopting fan engagement AI solutions for sports leagues to personalize experiences. Meanwhile, predictive modeling for sports betting platforms is improving accuracy. Innovations such as AI-driven virtual coaching for athletes, computer vision for sports video analysis, and generative AI for sports content creation are reshaping the industry.
The artificial intelligence in sports market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the artificial intelligence in sports market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, artificial intelligence (ai) in sports market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Catapult Group International - The company specializes in artificial intelligence technology, specifically in the sports sector. Our offering includes the advanced Versal AI Core series. This cutting-edge solution leverages machine learning algorithms to analyze data and provide insights, enhancing decision-making processes for sports organizations. By utilizing AI, teams can optimize performance, improve strategic planning, and gain a competitive edge. The technology's ability to process vast amounts of data in real-time sets it apart, offering unparalleled accuracy and efficiency. The Versal AI Core series is a game-changer, revolutionizing the way sports data is analyzed and utilized.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Artificial Intelligence (AI) continues to revolutionize the sports industry, with dynamic market activities unfolding across various sectors. Fitness monitoring and personalized recommendations are transforming athlete performance, while AI-powered sports coaching optimizes training regimens. Natural language processing and machine learning algorithms enhance fan engagement and sponsorship management. In the realm of sports betting, predictive modeling and data-driven decision making offer new opportunities for automated insights. Computer vision and deep learning enable player health monitoring, injury prediction, and referee assistance. Motion capture and video analytics facilitate skill development and talent identification. AI applications extend to game strategy optimization, automated replay systems, and game development.
The market is rapidly advancing with technologies like Catapult One smart vests and HomeCourt AI apps enhancing player development. Tools such as Second Spectrum analytics and Zone7 injury prediction tools enable AI-powered injury forecasting and real-time biomechanical analysis. Platforms like Veritone Digital Media Hub and Hawk-Eye video analysis systems support automated sports journalism and decision-making. Innovations including AI-infused soccer balls, smart tennis rackets, and wearable fitness trackers offer precise tracking, while cloud-based AI analytics and wearable sensor integration deepen performance insights. From predictive game outcome models to personalized fan experience platforms, AI is redefining sports strategy, safety, and entertainmen
Interactive content, data visualization, and fan experience enhancement create immersive environments. Wearable technology and real-time data analysis provide personalized training plans and performance measurement. Sports governance and team management benefit from AI-driven insights, while fraud detection and player tracking systems ensure fair play. AI-powered broadcasting and skill assessment cater to diverse fan interests. The ongoing evolution of AI in sports is reshaping the industry, with continuous innovation and integration into ticket sales and beyond.
In the dynamic sports market, AI technologies are revolutionizing various aspects, from sports betting analytics to esports and traditional sports. AI-powered applications offer actionable insights for sports teams and organizations, enabling data-driven decision-making and performance enhancement. However, data privacy and ethical considerations are crucial as these technologies process vast amounts of personal data. Bias detection and algorithmic fairness are essential in ensuring sports governance and maintaining a level playing field. Immersive technology, such as VR and AR, combined with sports innovation, enhances fan experiences and provides new opportunities for data-driven marketing. Sports simulation and cognitive performance analysis help in player development, while fitness tracking and performance evaluation cater to individual athlete improvement.
Smart devices and remote coaching enable real-time feedback and support, contributing to the digital transformation of sports. AI integration in sports technology extends to sports psychology, automated reporting, skill acquisition, and personalized experiences, making training more effective and efficient. However, as AI becomes more prevalent, addressing ethical considerations and ensuring data security remains a priority.
Dive into Technavio's robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled Artificial Intelligence (AI) In Sports Market insights. See full methodology.
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Market Scope |
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Report Coverage |
Details |
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Page number |
146 |
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Base year |
2023 |
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Historic period |
2018-2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 33.13% |
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Market growth 2024-2028 |
USD 6422.1 million |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
26.95 |
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Key countries |
US, China, Germany, Canada, India, South Korea, France, Japan, Italy, Brazil, UAE, UK, Spain, and Mexico |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Type
7 Market Segmentation by Offering
8 Market Segmentation by Sport Type
9 Market Segmentation by Technology
10 Market Segmentation by Application
11 Customer Landscape
12 Geographic Landscape
13 Drivers, Challenges, and Opportunity/Restraints
14 Competitive Landscape
15 Competitive Analysis
16 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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