Innovation in the sports industry is constantly evolving, with activity driven by digital advancements, high level of social media interactions, broad appeal for immersive sports experience, and fan engagement, as well as the growing importance of technologies such as virtual and augmented reality, blockchain, artificial intelligence, Internet of Things (IoT), robotics, cloud, data analytics, wearable tech and many more. In the last three years alone, there have been over 48,000 patents filed and granted in the sports industry, according to GlobalData’s report on Artificial Intelligence in Sports: Virtual trainers.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
20+ innovations will shape the sports industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the sports industry using innovation intensity models built on over 101,000 patents, there are 20+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, autonomous ball picking, context adaptive exercisers, and smart game scoring displays are disruptive technologies that are in the early stages of application and should be tracked closely. Automated active rehabilitation devices, game performance analytics, and virtual trainers are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas is the automated card dealers, which is now well established in the industry.
Innovation S-curve for artificial Intelligence in the sports industry
Virtual trainers is a key innovation area in artificial Intelligence
Artificial intelligence-driven personal coaches, known as virtual trainer bots, identify training demands and use relevant inferences and inscription from earlier study as the input parameter to formulate the design of the training programmes. AI-powered virtual trainers design customisable, individual-based training programmes to improve learning.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 70+ companies, spanning technology vendors, established sports companies, and up-and-coming start-ups engaged in the development and application of virtual trainers.
Key players in virtual trainers – a disruptive innovation in the sports industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to virtual trainers
Source: GlobalData Patent Analytics
Nike is one of the leading patent filers in virtual trainers sector. Some other key patent filers in virtual trainers industry include Peloton Interactive, iFIT Health & Fitness, adidas, LG, and Lululemon Athletica. Nike has the largest market share when compared to any other sports equipment company and is continually coming up with new trends and inventions in the area of new virtual training tools for athlete performance enhancement.
In terms of application diversity, Whoop leads the pack. Pentland Group Holdings and Alphabet stand in second and third positions, respectively. By means of geographic reach, Renovia holds the top position, followed by Callaghan Innovation Research and Teijin.
AI-bot technology provides organisations with the ability to utilise artificial intelligence, machine learning, and sports analytics to generate insights and make effective decisions both on and off the playing field. Benefits of virtual trainers include player performance analysis, supportive data to help with draft decisions, the ability to assess which players to sign based on present value and risk, the capability to evaluate trade options, accurately target offers, and provide feedback to players and coaches to improve player development as well as anticipate and avert injuries.
To further understand the key themes and technologies disrupting the sports industry, access GlobalData’s latest thematic research report on Thematic Research: Artificial Intelligence (AI) in Sport.