AI Trainers Market Outlook 2025 to 2035

The global AI trainers market is expected to reach USD 2,616.3 million by 2035, up from USD 693.4 million in 2025. During the forecast period 2025 to 2035, the industry is projected to expand at a CAGR of 14.2%.

The growing demand to deliver data-driven performance feedback and individual training programs, as well as injury prevention training, drives the AI trainers market. With the application of wearable sensors, computer vision, and machine learning, it will be possible to make accurate decisions and analysis in real time.

The growth in investments by professional clubs, gyms and training academies, the need to enhance health management and competitive edges facilitate market growth. Even more efficiency and adoption are achieved by higher predictive analytics, model training automation, and generated synthetic data.

Quick Stats for AI Trainers Market

• Industry Value (2025): USD 2,616.3 million
• Projected Value (2035): USD 693.4 million
• Forecast CAGR (2025 to 2035): 14.2%
• Leading Segment (2025): Performance Analysis & Optimization (28.2% Market Share)
• Fastest Growing Country (2025-2035): India (15% CAGR)
• Top Key Players: NVIDIA, Accenture, Microsoft, Google, IBM, Appen, Scale AI, Turing, Deep Vision Data, and CloudFactory

What are the drivers of the AI Trainers Market?

The AI trainers market is in an upward trend as the organizations are attempting to work towards the optimization of performance of athletes, injury aversion and individualized training programs. Growth is caused by the rising necessity to make decisions based on the data, real-time analysis of the performance and efficient customization of the training program. With innovative technologies (machine learning, computer vision, wearable sensors, and predictive analytics), it is possible to ensure faster insights, the correct risk of injuries identification, and adaptive training plans.

The growing number of devices and cloud solutions that are implanted creates the need to collect and analyze much information about athletes in real-time. The increasing investments of professional sports clubs, gyms, and academies along with the tendency towards more intelligent automation and competitive advantage also lead to the further increase of global market development.

What are the regional trends of the AI Trainers Market?

The emergence of sports infrastructure, professionalization, the emergence of technologies, predetermined regional acceptance of AI trainers. The availability of big sports leagues and professional teams which resort to using advanced AI solutions to study their performance, avoid injuries, and offer individual training programs is the major driving factor in the growth in North America.

Western Europe is concerned with the privacy of the information and sustainable use of AI, which is becoming more acceptable in football schools and gyms.

Asia-Pacific, of which China, India and Japan are the largest players, are currently expanding at a high pace due to the growing sports ecosystems, the growing investments made in the smart training technologies and the growing popularity of the sports participation.

The progressive development of Latin America can be seen because the new sports organizations are switching to AI, but the Middle East and Africa are focused on cheaper and expandable solutions to the development of athletes and fitness industries.

What are the challenges and restraining factors of the AI Trainers Market?

The AI trainers market is facing several obstacles that can hinder its growth in the sport industry. The cost of complex AI-based performance analysis tools and wearable devices is very expensive and limits their use, particularly in the small sports academies and amateur teams. The quality of wearables and video data cannot be counted on, which leads to false information regarding performance and anticipation of injuries.

Absence of trained AI researchers and data scientists on sports analytics frustrates application. The integration is also complicated by the fact that the sporting organizations are not standardized, and that the processes are not standardized as well. Furthermore, strict information protection legislation and concern about information security of the sportswoman is also a snag, especially in regions with new legal frameworks where this restrains growth in the market.

Country-Wise Insights

United States leads with advanced AI Trainers adoption.

The US has the most potential to be an AI Trainers market due to the presence of big professional sports leagues and mature sports technology. Wearable sensors, artificial intelligence in performance analytics, and injury prevention solutions are invested in more to make market adoption.

Sports and fitness centers are now using AI Trainers in real-time monitoring and tactical analytics and developing personal training programs. The manufacturers are worried about long-lasting and sensor-enabled gadgets with complex predictive analytics. The emergence of local and international sports tech startups and the growth of the popularity of data-based training solutions is what makes the U.S. a significant player at the global level.

China drives growth through infrastructure and government support

China is the Asia-Pacific giant in the Asia-Pacific market of AI Trainers which has been catalyzed by the high rate of urbanization, establishment of sports infrastructure and an initiative by the government on promoting professional and recreational sports. The more developed city is in terms of investing in sports academies, professional coaches and fitness centers, the higher the use of AI Trainers.

The manufacturers are stocking superior wearable devices and AI-enhanced workouts with real-time performance measurements, customized training strategies, and signs of injury danger. This enhances access of distribution channels and technology to the professional and amateur athletes. Growth of popularity of the trends in the sports field, smart coaching and competitive sport make China a considerable growth market of the world.

United Kingdom excels in sports analytics and AI integration

United Kingdom is a key market of AI Trainers because it has a great professional sports background, particularly football, cricket and tennis. To achieve competitive edges, clubs and academies resort to AI-powered tools of performance monitoring, injury prediction, and tactical analysis.

Wearable devices, predictive analytics software, and personalized training platforms are what manufacturers and tech providers are targeting. Research institutes, sports science courses, and technology companies in conjunctions with professional teams promote growth. The increasing need of fitness centers, amateur sportsmen, and youth academies, as well as government-supported sports programs, places the UK in the focus of AI Trainer implementation in the world market.

Category-Wise Analysis

Performance Analysis & Optimization improves athlete performance using data

A major area of the AI Trainers Market is Performance Analysis & Optimization, which is motivated by the necessity to conduct the data analysis with the help of which the performance of an athlete can be enhanced. Wearable sensors, video analytics, and machine learning algorithms help AI Trainers to analyze metrics like speed, endurance, technique, and tactical choices.

This helps the coaches and athletes to determine the strengths, weaknesses and the improvement areas in real-time. The segment enjoys rising investment by the professional teams, academies and fitness centers in search of competitive advantage. The increasing demand of custom training programs and predictive performance simulation drives faster global adoption, and thus, is a high growth segment.

Machine Learning Algorithms power AI Trainers with predictive insights

The AI Trainers Market is technologically supported by Machine Learning Algorithms. These algorithms use vast amounts of data on performance and health of athletes to create actionable insights, predictive analytics, and adaptive training plans. The combination with wearable devices, video tracking, and sensor-based systems can use real-time feedback and optimize the performance with accurate feedback.

These algorithms help organizations to mitigate the risk of injuries, improve recovery, and tailor coaching plans, such as professional teams and sports academies. Ongoing development of the supervised, unsupervised, and reinforcement methods of learning makes the models more accurate and efficient, making the Machine Learning Algorithms one of the essential engines of growth in the AI trainers ecosystem.

Team Sports segment enhances coordination, strategy, and performance analytics

Team Sports constitute a visible portion of AI Trainers Market since clubs and organizations embrace AI to enhance both team and individual performance. Some of the sports that have been relying on AI Trainers to review tactics, track performance in real time and avoid injuries are Football, basketball, rugby and hockey.

A wearable sensor and video analytics can assist coaches to simplify the tactics and line-ups by tracking the movement and fatigue of the players and coordination between the team. Professional leagues, academies, and training centers contribute to increased adoption through increased investment. The focus on teamwork, physical activity, and any injuries prevention on team levels precondition the demand of AI-based solutions, so Team Sports is a highly promising market segment.

Competitive Analysis

Key players in the AI Trainers Market include NVIDIA, Accenture, Microsoft, Google, IBM, Appen, Scale AI, Turing, Deep Vision Data and CloudFactory

The competition among the AI Trainers Market is very high and the main players are differentiated by technology, accuracy, scalability and innovation. The most prominent AI providers such as NVIDIA, Microsoft, IBM, Google, and Accenture provide sophisticated AI platforms, predictive analytics, and machine learning-based training platforms to professional teams, academies, and fitness centers. The constant R&D investments improve the real-time performance analysis, prediction of injuries and individual training opportunities. Partnerships with sports institutions, academies, and wearable device producers increase market coverage. The ability to provide user-friendly platforms, to ensure data security, integration with IoT devices, and responsive support helps companies to be even stronger. The key to the competitiveness in this rapidly changing market is still innovation and high-quality solutions and training of the AI models.

Recent Development

• In March 2025, NVIDIA released AI-based performance analytics software in sports, enabling its GPUs and AI frameworks to make this a possibility, and allowed real-time processing of data and offered predictive analytics. These tools are useful in avoiding injuries and individual training plans, which enhance the application of AI-driven training plans.
• In January 2025, AI-based data start up Turing claimed to have tripled its revenue to $300 million in 2024 and was profitable. The company focuses on providing human experts to train AI models, which deals with the increasing need of high-quality data annotation.

Fact.MR has provided detailed information about the price points of key manufacturers of AI Trainers Market positioned across regions, sales growth, production capacity, and speculative technological expansion, in the recently published report.

Methodology and Industry Tracking Approach

The Fact.MR 2025 AI Trainers Market survey was carried out among 8,000 interviewees in 25 countries (not less than 200 interviewees in each country). End-users suspected of two-thirds were professional athletes, coaches, sports academies, fitness trainers, and amateur players, whereas the rest were industrial professionals, namely AI solution developers, sports technologists and performance analysts.

The information about AI trainer adoption, technology preference, performance measures, cost, and market potential during the period of September 2024 and August 2025 was gathered as a study. Theoretical projections and insights on the market and the segment level were produced on the basis of more than 180 secondary sources and analytical methods, regression analysis, scenario modelling, and trend extrapolation techniques.

With Fact.MR monitoring consumer behavior, product efficacy, industry trends, and market opportunities since 2018, this report is becoming an authoritative source of information that stakeholders can rely on.

Segmentation of AI Trainers Market

• 
  

  By Type of Sport :

  
  

  • Team Sports

    • Football (Soccer)
    • Basketball
    • Rugby
    • Cricket
    • Hockey

  • Individual Sports

    • Tennis
    • Athletics (Running, Jumping)
    • Golf
    • Swimming
    • Cycling

  • Esports

    • Multiplayer Online Battle Arenas (MOBA)
    • First Person Shooters (FPS)
    • Real-Time Strategy (RTS)

• 
  

  By Technology :

  
  

  • Machine Learning Algorithms
  • Computer Vision
  • Natural Language Processing (NLP)
  • Wearable Sensor Integration
  • Predictive Analytics
  • Reinforcement Learning

• 
  

  By Application :

  
  

  • Performance Analysis & Optimization
  • Injury Prediction & Prevention
  • Tactical and Strategic Planning
  • Fitness & Training Regimen Personalization
  • Player Scouting & Talent Identification
  • Fan Engagement & Experience Enhancement

• 
  

  By End User :

  
  

  • Professional Sports Teams
  • Amateur Sports Organizations
  • Sports Academies
  • Fitness Centers & Personal Trainers
  • Sports Analytics Firms
  • Broadcasting Companies (For Enhanced Analytics & Graphics)
  • Esports Organizations

• 
  

  By Region :

  
  

  • North America
  • Latin America
  • Western Europe
  • Eastern Europe
  • East Asia
  • South Asia & Pacific
  • Middle East & Africa

Arm Holdings has unveiled Lumex, its next-generation chip designs built to bring advanced AI performance directly to mobile devices.

The new designs range from highly energy-efficient chips for wearables to high-performance versions capable of running large AI models on smartphones without cloud support.

Lumex forms part of Arm’s Compute Subsystems business, offering handset makers pre-integrated designs, while also strengthening Arm’s broader strategy to expand smartphone and data centre revenues.

The chips are tailored for 3-nanometre manufacturing processes provided by suppliers such as TSMC, whose technology is also used in Apple’s latest iPhone chips. Arm has indicated further investment in its own chip development to capitalise on demand.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

• The store is back at the center of retail strategies with 75% of executives planning a large-scale store transformation in the next 2 years
• From bottom-line improvements to enhanced experiences, tech-enabled stores are delivering big wins for retailers and customers on efficiency, customer experience, and monetization
• Retailers are rapidly shifting from isolated pilots to integrated technology platforms combining AI, automation, and digital media
• 44% of retailers expect these investments to improve their bottom line by more than 1.5 percentage points

LONDON and PARIS, Sept. 16, 2025 /PRNewswire/ — Far-reaching technology innovations and AI advances are reshaping the future of retailers and stores in a critical new phase of transformation for the industry, Bain & Company and VusionGroup report in a study released today.

The report, The Store is Striking Back as a Tech-Enabled Space Driving Efficiency, Experience and Monetization, unveiled in Paris at NRF Europe 2025, sheds new light on how technological advances and new in-store technologies are revolutionising retail.

Drawing on a global survey of leading retailers worldwide, the Bain/VusionGroup analysis highlights how harnessing fast-changing technology is no longer experimental for the industry but is now seen by retail leaders as essential and foundational.

Against this backdrop, the study reports that a majority of retail executives plan to increase capital spending on store technology by an average 5% to 20% over the next five years, with nearly half expecting bottom-line improvements of more than 1.5 percentage points, according to the findings from Bain, the leading management consulting firm, and VusionGroup, the global leader in digitization solutions for commerce.

Retailers are moving quickly to implement integrated platforms that combine digital shelf systems, AI-powered insights, and retail media capabilities, the report finds. Stores are becoming intelligent, connected environments where commerce, media, and data converge. The analysis shows they’re evolving into hybrid spaces that fuse shopping with media, entertainment, and personalization.

“Retailers are accelerating their tech adoption not just to keep up but to lead. The winners will be those who build scalable, integrated platforms delivering measurable ROI and who future-proof store operations,” said Mauro Anastasi, partner in the Retail practice at Bain & Company. “Better systems cut costs. Lower costs give customers better prices. Better prices bring in more customers. And more customers generate more data to make operations even smarter. Retailers who master these technologies first will outprice and out-serve others – and the window to catch up will get smaller every quarter as the pace of change continues to evolve.”

“This report reflects what we see every day at VusionGroup: the store is no longer just a place of transaction. By combining AI, computer vision, and data with digital shelf systems, retailers are not only improving operations, but they are also achieving faster inventory turns, greater price accuracy, and unlocking new monetization opportunities through retail media,” said Jérôme Hamrit, SEVP of Data & Retail Media at VusionGroup. “Connected stores deliver better shopper experiences while driving both operational efficiency and top-line growth, delivering measurable ROI at a much faster pace.”

In today’s findings, Bain and VusionGroup report that four key technologies are emerging as central to the transformation of physical retail spaces, aligning directly with retailers’ top customer priorities: product availability (56%), price integrity (53%), and better customer engagement (45%), as well as their ambition to improve staff productivity (39%).

• Store staff co-pilots: Almost 50% of retailers are using AI-powered assistants to help store teams manage routine tasks, from inventory checks and price errors to equipment troubleshooting and training. These tools boost productivity and morale, allowing staff to focus more on customer engagement.
• AI-driven customer insights: Nearly three-quarters (73%) of retailers are exploring advanced analytics to localize assortments and personalize experiences. By analyzing purchasing behavior and in-store traffic patterns, AI helps predict demand and optimize shelf placement.
• E-commerce fulfilment integration: Stores are evolving into hybrid fulfilment hubs, serving both walk-in customers and online orders. Technologies like computer vision, demand forecasting, and pick-to-light systems ensure inventory accuracy and efficient order processing – without compromising the in-store experience. Thirty percent of retailers say in-store fulfilment is already deployed at scale in their stores.
• Digital in-store retail media: Smart displays and shelf tags are turning store aisles into monetizable media spaces. Brands can advertise directly to shoppers at the point of decision, creating new revenue streams. Nearly a third (29%) of retailers expect store layouts to evolve to support retail media and experiential formats in the next five years.

To drive technology adoption, the report notes that three in five (60%) C-level executives are prioritizing in-store technology investments over other retail strategies. Nearly half (44%) of retailers expect their store technology investments to improve their bottom line by at least 1.5 percentage points, while seven in ten (70%) anticipate recovering their investments in less than three years.

Despite the momentum, retailers continue to face internal barriers to faster adoption. Slow internal decision-making processes tops the list at 43%, followed by security and compliance concerns (40%) and high costs (32%) that the retailer would have to budget beyond their already planned capex.

To succeed with store technology, the report advises that retailers must focus on solving real pain points – such as out-of-stocks and pricing errors while building organization-wide support for change. The most effective strategies prioritize integrated platforms over isolated tools, invest in upskilling store teams, and rethink financial models to reflect today’s blended online-offline shopping behaviors.

The report also outlines five key principles for success in-store technology transformation:

• Focusing on solving real pain points for customers and staff
• Building organizational alignment and change management from the ground up
• Prioritizing platform thinking over isolated tools
• Investing in talent and upskilling to support new workflows
• Breaking down silos between online and offline operations for more integrated financial performance

The full report is available here as well as to NRF attendees in Paris.

Media contacts
For questions or to request an interview please contact –

Bain & Company:
Gary Duncan (London) – Email: [email protected]
Amanda Folsom (Boston) – Email: [email protected]
Ann Lee (Singapore) – Email: [email protected]

VusionGroup: [email protected]

About Bain & Company

Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.

Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a gold rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 2% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. 

About VusionGroup

VusionGroup is the global leader in providing digitalization solutions for commerce, serving over 350 large retailer groups around the world in Europe, Asia and North America. The Group develops technologies that create a positive impact on society by enabling sustainable and human-centered commerce.

By leveraging its IoT & Data technologies, VusionGroup empowers retailers to re-imagine their physical stores into efficient, intelligent, connected, and data-driven assets. The Group unlocks higher economic performance, facilitates seamless collaboration across the value chain, enhances the shopping experience, creates better jobs, cultivates healthier communities, and significantly reduces waste and carbon emissions.

VusionGroup consists of six families of solutions which bring the full potential of IoT, Cloud, Data, and artificial intelligence (AI) technologies to the service of the modernization of commerce: SESimagotag (ESL & Digital Shelf Systems), VusionCloud, Captana (computer vision and artificial intelligence platform), Memory (data analytics), Engage (retail media and in-store advertising), and PDidigital (logistics and industrial solutions).

VusionGroup supports the United Nations’ Global Compact initiative and has received in 2023 the Platinum Sustainability Rating from EcoVadis, the world’s reference of business sustainability ratings.

VusionGroup is listed in compartment A of Euronext™ Paris and is a member of the SBF120 Index. Ticker: VU – ISIN code: FR0010282822

www.vusion.com

SOURCE Bain & Company