From Growth to Maturity
There’s no question the category is expanding. Global sports tech spend is on track to nearly double from ~US$34B in 2026 to ~US$69B by 2030. What was once experimental is now core to how clubs train, operate and generate revenue. But at the same time, something has changed. We’re seeing fewer “next Catapult” stories and fewer hype-driven startups capturing attention, not because the market has slowed but because it has matured.
Sports tech didn’t shrink, it grew up. The easy ideas are gone. The market has moved from chasing toys to demanding infrastructure.
From Gadgets to the Nervous System of Sport
There was a time when a single innovation could define a company:
- A sensor in a vest
- A chip in a ball
- A new fan app
Today, most serious organisations already have:
- Player tracking and workload systems
- Video and performance analysis
- Digital ticketing and membership
- Connected stadium infrastructure
- Fan engagement platforms
These aren’t differentiators anymore, they’re baseline.
Technology is now the nervous system of sport, invisible when working well, and highly visible when it doesn’t, and once something becomes infrastructure, the rules change:
- Reliability beats novelty
- Integration beats features
- ROI beats hype
The End of the “Obvious” Sports Startup
This is why so many traditional pitches now fall flat - “Another GPS platform”, “Another fan app”or “Another stadium widget.” Most rights holders have already been through that cycle:
- Installed the system
- Managed the integration pain
- Trained the staff
- Lived with the trade-offs
They know another standalone tool usually means more complexity, not necessarily more value. Investors have adapted too. Funding remains strong, billions continue to flow, but capital is concentrating into fewer, higher‑conviction opportunities. From the outside, it looks like fewer startups but in reality, it’s fewer shallow ones. The market hasn’t lost optimism, it’s lost patience.
Learning #1: Integration is the Real Problem
Inside most organisations, the issue isn’t innovation, it’s fragmentation.
- Medical in one system
- Performance data in another
- Scouting and recruitment elsewhere
- Ticketing and membership separate again
- Commercial, content and media spread across multiple tools
The result? Rising tech spend, but limited clarity. Everyone has data but very few have a clean, connected, trusted view. The frontier has shifted from “what else can we measure?” to “how do we make what we already have usable?”. That means:
- Connecting datasets
- Enforcing data quality
- Governing access
- Embedding workflows where insight drives action
Integration isn’t a technical problem anymore. It’s the biggest value unlock in the system.
Learning #2: Deep Beats Wide
The second shift is towards specialisation. Sport is not a single market, it’s a set of deeply different ecosystems:
- Different rhythms and demands
- Different organisational models
- Different performance and commercial realities
A rugby club, MLB franchise, cycling team and national governing body don’t share the same workflow, despite their surface similarities. This is driving a new generation of products:
- Highly sport-specific platforms
- Discipline-specific performance tools
- Tailored media and monetisation solutions for long-tail sports
These companies go deep, not wide. They don’t try to serve everyone but embed themselves in one workflow, in one sport, at one level, and then expand. The new playbook is to own the workflow then earn the right to own the category.
Where the “Category Killers” Went
This shift also explains why we’re seeing fewer bold “OS of sport” narratives. The reality is that:
- Rights holders have seen too many pilots fail
- Investors understand how fragmented the market is
- Horizontal platforms are extremely hard to scale
So, the companies gaining traction sound different:
- “We run operations for academies in this sport.”
- “We connect medical and performance data at this level.”
- “We make this niche property commercially viable.”
Not headline-grabbing but highly effective. Over time, these businesses build:
- Embedded workflows
- Structured, proprietary data
- Deep organisational trust
That is the real moat.
The Next Decade: Where Value Will Be Created
XV’s view is clear, the most attractive opportunities are shifting to:
- Integration backbones: connecting fragmented systems across departments and seasons
- Systems of record: becoming the default platform where work actually happens
- Digitisation of underserved segments: bringing long-tail sports into the commercial ecosystem through AI and automation
- Outcome-driven tools: tied to availability, revenue, margin and lifetime value - not vanity engagement
Final Thought
The next winners in sports tech won’t be defined by the smartest algorithm. They’ll be defined by how deeply they understand the sport, the workflows, and the real constraints of the environment. What “good” looks like now:
- Less demo, more delivery
- Less narrative, more results
- Less disruption theatre, more integration
Sports tech didn’t slow down. It stopped playing around. For founders, operators and investors willing to get close to the real problems in locker rooms, ticket offices, broadcast trucks and community fields, this is the most compelling moment yet for technology in sport.
