Market Opportunity
The sports broadcast industry is shifting fast. Here's what the numbers actually look like.
Sports Broadcast Market Size
$55B
+7.2% CAGR
Expected total market by 2028, growing steadily as rights deals and streaming platforms expand
Live Sports Streaming Growth
146%
Year-over-year
Year-over-year growth in live sports streaming audiences across major platforms
Broadcasters Adopting AI
38%
+15% annually
Share of broadcast operations now using some form of AI or automation in their workflows
Mobile Sports Viewers
3.2B
52% of total
People watching sports on phones globally — more than half of all sports viewing
What We're Building Toward
Four areas where RISE will make a real difference in how broadcast teams work and how audiences watch
Smarter Production Tools
If you've worked in a broadcast truck, you know how much of the process is still manual — logging events, pulling clips, assembling packages. RISE uses ML and AI models trained on real broadcast footage to handle that work automatically, so producers can focus on telling better stories instead of chasing timecode.
- Event detection that keeps up with live action — 98.7% accuracy in testing
- Highlight packages assembled automatically, not manually
- AI that understands game context, not just motion detection
Better Viewer Experiences
Audiences expect more than a single camera angle and a ticker. RISE makes it possible to offer personalised feeds, on-demand replays, and layered stats — features that used to require a separate production team for each one.
- Viewing experiences shaped by what each fan actually wants to see
- Instant replay from any available angle, on demand
- Stats and context layered in without cluttering the screen
Built for Global Distribution
Sports are global but broadcast infrastructure often isn't. RISE is designed to handle multi-language output natively, adapt content for regional audiences, and work reliably even where bandwidth is limited.
- Multi-language output from a single production feed
- Content adapted for regional audiences automatically
- Reliable delivery across varying network conditions
Useful Analytics, Not Dashboards
Broadcast teams and sports organisations sit on enormous amounts of footage and data. RISE helps surface what actually matters — patterns in gameplay, performance trends, and production metrics that inform real decisions.
- Performance tracking that coaches and analysts can act on
- Pattern recognition across games, seasons, and competitions
- Production analytics that show what content performs and why
The Future of Sports Broadcasting
How sports content delivery is shifting — and where AI fits in
Content Delivery Evolution
Traditional broadcasting vs. digital platforms (% market share)
Key insight:Digital platforms are on track to pass traditional broadcast distribution by 2027. That crossover point is where tools like RISE become essential — you can't serve that many platforms manually.
Engagement Potential by Content Type
Projected audience engagement scores (2026)
Key insight: The highest engagement scores come from content types that require real-time production — exactly the kind of work RISE is built to automate and scale.
Our Technology Stack
The technical building blocks behind RISE
AI Vision Models
Computer vision trained on broadcast footage to identify players, track ball movement, and detect key match events as they happen
Machine Learning
Models that get better with every match they process — learning sport-specific patterns, not just generic motion
Cloud Computing
Infrastructure that scales to handle multiple simultaneous live feeds without adding hardware on-site
Edge Processing
Local processing at the venue to keep latency low and keep things running when connectivity is unreliable
Data Analytics
Tools for production teams and sports organisations to find actionable patterns in footage and performance data
Natural Language Generation
Automated generation of captions, on-screen text, and narrative summaries from live match data
Future Roadmap
Where we are now, where we're going, and the milestones we're working toward. Dates reflect our current best estimates — we'd rather be honest than optimistic.
Research & Early Development
Phase 1
Talking to broadcast production teams, understanding real workflows, and building the first versions of our detection models. This is where the foundation gets laid.
2025Working Prototype
Phase 2
A functional system processing real match footage end-to-end. Internal testing with recorded broadcasts to validate accuracy and speed before going live.
2026 Q1-Q2Closed Beta with Partners
Phase 3
Deploying RISE in real production environments with partner broadcasters. Gathering feedback from the people who will actually use this day-to-day.
2026 Q3Commercial Launch
Phase 4
Opening RISE up to paying customers. Starting with mid-tier leagues and regional broadcasters who need production automation the most.
2027 Q1Scale & Expand
Phase 5
Adding support for more sports, more languages, and more output formats. Growing the platform based on what real customers tell us they need.
2027-2028Want to See Where RISE Is Going?
We're building this for broadcast teams who are tired of doing everything manually. If that sounds like you, let's talk.