How the Business of Sports Is Changing in 2026

The sports industry in 2026 is being reshaped by three forces that, until recently, operated independently but are now converging. Artificial intelligence is compressing team operations from weeks into minutes. Social media has shifted fandom from team loyalty to individual athlete followership. And women's elite sports have crossed a revenue threshold that makes them impossible to treat as a secondary market. Here is what is actually happening, with the numbers behind each shift.

AI in Team Operations

The most concrete example of AI transforming sports operations comes from the San Antonio Spurs. The NBA franchise now uses AI to generate its full-season travel logistics — flights, hotels, practice facility bookings, dietary requirements — in 20 minutes. The same task previously took the operations staff three weeks.

This is not a one-off. The AI-in-sports market reached an estimated $13.1 billion in 2026, with 75% of professional teams globally now using some form of real-time analytics, according to industry reports.

Operation	Before AI	With AI
Season travel logistics (Spurs)	~3 weeks	~20 minutes
Sponsorship matching (NIL platforms)	Days per deal	Minutes per deal
Pitching rotation analysis (MLB)	Manual film review	Automated multi-variable models
Fan query resolution (NHL, NBA)	Call centre queues	AI-powered instant response

The pattern is consistent: tasks that required human coordination across multiple departments — logistics, scheduling, compliance — are being compressed into automated workflows. The humans are not being removed; they are being moved from data entry to decision-making.

Scouting and Injury Prediction

Two areas where AI has moved from experimental to operational are talent scouting and injury prediction.

Scouting: Soccer clubs now use AI systems that flag players in lower leagues whose statistical profiles match those of established stars. Sevilla FC partnered with IBM to enhance recruitment using AI-driven insights — scanning thousands of matches across dozens of leagues to surface prospects that traditional scouting networks would miss entirely.

Injury prediction: Zone7, an AI platform used by more than 50 professional clubs globally, analyses biometric data and GPS tracking to predict injury risk before symptoms appear. The results are measurable:

Team / League	AI Tool	Result
LAFC (MLS)	Zone7	69% reduction in non-contact injuries
Getafe (La Liga)	Zone7	Measurable cut in total injury volume
Industry average	Various	~72% prediction accuracy across studied cases

The mechanism is straightforward: if a player's workload suddenly increases while their recovery metrics decline, the model flags elevated risk. Coaches receive the alert before the player feels anything. The shift is from reactive treatment to proactive prevention — and for clubs paying millions in player wages, even a modest reduction in injury time has an outsized financial return.

[!TIP] AI-driven injury prediction is not limited to professional sports. Consumer wearables like Whoop and Garmin now incorporate similar (simpler) models for everyday athletes — see our companion post on AI and athlete training for a breakdown of what is available at consumer price points.

AI-Powered Fan Engagement

On the fan-facing side, AI is being used to personalise the spectator experience at scale. The NHL and NBA have deployed AI tools that handle fan queries about tickets, parking, seating, and merchandise — resolving questions that previously required a call centre agent.

The business model underneath this is not just cost reduction. Personalised fan engagement generates data that informs pricing, scheduling, and sponsorship decisions. When a team knows which fans attend which games, buy which merchandise, and engage with which content, every subsequent business decision improves in accuracy.

The Shift to Highlight-Driven Fandom

The second major shift is structural: fandom itself is changing shape. Research from 2026 shows that 30% of US sports fans started rooting for a new team because of a specific athlete — not because of geography, family tradition, or team history, but because an individual player's content reached them on social media.

This is the highlight-driven fandom model, and TikTok is its primary engine:

Metric	Value
Fans using platform as second screen during live events	85%
Users who take off-platform action after viewing sports content	90%
Users who enjoy fan-made (not official) sports content	72%
Fans who adopted a new team because of an athlete	30%

TikTok launched "GamePlan" in 2026, a global in-app resource designed to help sports organisations capitalise on this shift. The platform is not just hosting sports content — it is building infrastructure to help leagues and teams create it.

The implications are significant. A player who goes viral for a skill move or a personality moment on TikTok drives fan acquisition in a way that a 30-second television advertisement cannot replicate. The audience finds the athlete first and the team second.

What This Means for Teams and Leagues

For teams, the highlight-driven model creates both opportunity and risk. A franchise with charismatic, social-media-savvy players can build a national (or global) fanbase regardless of geography. But it also means that fan loyalty is more portable — when the player moves, a meaningful percentage of fans move with them.

For leagues, the shift favours formats that generate shareable moments: shorter highlight windows, mic'd-up player content, and behind-the-scenes access. The NFL's decision to spread its 2026 Week 1 across four days and place a game on Netflix is a direct response to this dynamic — more windows, more moments, more clips.

[!IMPORTANT] The 85% second-screen figure refers to TikTok users who are already sports fans on the platform, not all TikTok users. The actual penetration of sports fandom on TikTok is lower but growing rapidly.

The $3 Billion Women's Sports Boom

According to Deloitte's 2026 report, global women's elite sports revenues are projected to exceed $3 billion in 2026 — a 25% increase over the $2.4 billion generated in 2025, and a 340% increase over 2022.

This is no longer a growth story being told in percentages alone. The absolute numbers have reached a scale that commands dedicated investment, broadcast deals, and sponsorship contracts that would have been unthinkable five years ago.

Where the Money Is Coming From

Revenue Stream	Share of Total	Estimated Value (2026)
Commercial (sponsorships, partnerships, merchandise)	45%	~$1.35 billion
Matchday (tickets, hospitality, concessions)	30%	~$911 million
Broadcast (TV, streaming rights)	25%	~$765 million

By sport: Soccer and basketball are each expected to represent approximately 35% of total women's sports revenue globally in 2026. Together, the two sports account for roughly 70% of the market.

The commercial revenue share — 45% — is the most telling number. Sponsorship and partnership money flows toward audiences that brands want to reach. The fact that commercial revenue is the single largest segment, ahead of both broadcast and matchday, indicates that brands view women's sports audiences as high-value, not as a CSR exercise.

The broadcast segment ($765 million) is growing fastest in absolute terms, driven by new media rights deals that reflect actual viewership rather than legacy pricing. Matchday revenue ($911 million) benefits from genuinely increasing attendance — not just higher ticket prices on a flat base.

How These Three Forces Connect

These shifts are not isolated:

AI enables the highlight-driven model. Platforms like WSC Sports use AI to automatically clip, tag, and distribute highlights within seconds of a play happening — feeding the short-form content pipeline that drives player-centric fandom.
Highlight-driven fandom benefits women's sports disproportionately. Athletes in women's leagues who build personal brands on social media can attract sponsorship that bypasses traditional (lower) broadcast valuations. The commercial revenue leading women's sports revenue is partly a consequence of this direct-to-fan model.
AI-powered operations reduce the cost floor for running a professional team. This matters most in women's leagues, where operating budgets are still a fraction of their men's equivalents. Tools that compress logistics, scouting, and fan engagement into lower-cost workflows make more leagues viable.

The sports industry in 2026 is not just bigger — it is structurally different from what it was even three years ago. The organisations that recognise this are the ones building for the next cycle, not the last one.

FAQs

How big is the AI-in-sports market in 2026? An estimated $13.1 billion, with 75% of professional teams using some form of real-time analytics.

What percentage of fans follow athletes over teams? 30% of US sports fans report that they started supporting a new team because of a specific athlete's social media presence.

How much revenue will women's sports generate in 2026? Deloitte projects global women's elite sports revenues to exceed $3 billion in 2026, up 25% from 2025 and 340% from 2022.

Which women's sports generate the most revenue? Soccer and basketball, each representing approximately 35% of total women's sports revenue.

Whether you follow football, basketball, or any other sport, the best way to stay connected is through your local community. Find players and groups near you on the Sport I Play communities page.

How the Business of Sports Is Changing in 2026: Guide