Over roughly the last 15 years, sports have changed dramatically due to technology, data, media, and athlete science. Let’s explore the major innovations that reshaped how sports are played, watched, and managed.
Teams now track athletes’ performance in real time.
Key innovations
Examples
Benefits:
Officiating has become more technology-assisted.
These systems are used in competitions like the FIFA World Cup and major tennis tournaments.
Benefits:
Data analysis expanded massively in sports.
Teams now analyze:
Benefits:
Sports broadcasting changed drastically.
Instead of only TV networks, fans now watch games via platforms like:
Benefits:
Recovery science has become central to performance.
Innovations include:
Benefits:
Many athletes credit longevity improvements to these methods, including stars like LeBron James and Cristiano Ronaldo.
Equipment is now heavily engineered.
Examples:
Benefits:
These have led to debates about “tech advantages” in competition. Controversial!
Competitive gaming became a major part of the sports ecosystem.
Popular esports titles include:
Benefits:
Major competitions like the League of Legends World Championship draw millions of viewers.
Artificial intelligence is increasingly used for:
Benefits:
Companies analyze entire matches using machine vision to detect patterns that humans miss.
-> These few examples show that the biggest transformations came from data, technology, and digital media—changing how athletes train, how games are officiated, and how fans experience sports.
In other words, the scope of innovation in sports remains within sports boundaries.
Sports data have already been used to question and research topics relating to various strategic and psychological aspects of decision making; in 2019, L Balafoutas, S M Chowdhury and H Plessner gathered and analysed 16 research articles that use data from various sports to study a diverse set of topics in economics, psychology, and management. As mentioned in the introduction of their own article, “The common thread of these articles is human behavior and economic decision making by individuals and teams, and the specific topics covered in this special issue include, among others: strategic behavior by teams and individuals in competitive situations, effort provision in teams, task scheduling, psychological momentum effects, judgement and decision biases, life satisfaction, and (strategic) display of emotions.” In Section 3 of this editorial, we summarize each study and its contribution to our understanding of decision making” (Applications of sports data to study decision-making, in Journal of Economic Psychology, vol 75, part B).
Scholars still research on sports, trying to figure out whether sports can be used for more general, broader perspectives than those limited to its own field.
In that context, DRUID (a Danish hub for research on innovation) organised a conference in Nice in June 2024, and debated on using sports data for decision-making, specifically questioning whether research to inform strategy and innovation decisions has significantly overstated the value of sports as a context.
Sports has naturally imposed itself as a field (or a playground?) for research on human behaviour, tactical decision making etc, as mentioned earlier; the very fact that some scholars- who exclusively work on innovation-related topics – ask whether sports data is OVERLY used in research means that sports is definitely a key player and a key field in research already (some of the scholars who took part in the DRUID debate have since issued a paper on this, see Sports as a context in strategy and innovation research: promises, challenges and broader implications, by A Conti et al ,in the journal of Industry and Innovation, Aug. 2025).
It thus represents a gold mine for research and innovation, and in that respect, sports furthers innovation, which goes far beyond its boundaries.
9.20: “It’s time that we shift our attention to the innovative solutions that the platform of sports can provide us.”… 11.08: “So why not let sports pioneer the way…”