How Many AI Sports Apps Are There? (2026)
There are roughly 50 AI-native sports apps across iOS and Android as of 2026 — up from nearly zero in 2022. The data on the AI-in-sports market, app categories, notable products, and why the category is just getting started.
There are currently around 50 AI-native sports apps available across iOS and Android, with the category growing rapidly from nearly zero in 2022. The broader AI in sports market — which includes athlete performance tools, broadcasting technology, and fan-facing apps — is valued at $5.72 billion in 2025 and projected to reach $54.95 billion by 2035.
AI Sports Apps: Quick Stats
- ~50 AI-native sports apps currently available on major app stores
- $5.72 billion — AI in sports market size in 2025
- $54.95 billion — projected AI in sports market size by 2035
- 25.39% CAGR — AI in sports market growth rate (2025–2035)
- 80% of sports fans believe AI will have the greatest influence on how they follow sports by 2027
- 56% of fans want AI-powered insights and commentary for past, current, and future events
What Counts as an “AI Sports App”?
The label gets applied broadly, so it’s worth distinguishing between categories:
Fan-facing AI apps — products built for everyday sports fans that use AI to personalize content, generate audio or text summaries, power natural-language queries, or surface relevant news. This is the fastest-growing consumer segment.
Fantasy and betting AI tools — apps that use predictive modeling, real-time data feeds, and machine learning to help users make lineup and wagering decisions. Many established fantasy platforms (ESPN Fantasy, Sleeper) have added AI features rather than building AI-first.
Athlete performance AI — tools for coaches, trainers, and sports scientists using computer vision, motion capture, and biometric analysis to improve training and injury prevention. These are B2B or prosumer products, not consumer apps.
Sports media AI — technology used by broadcasters, publishers, and leagues to automatically generate highlights, captions, articles, and personalized feeds at scale. WSC Sports is the leading example.
The ~50 figure above refers specifically to consumer-facing AI sports apps available on iOS or Android — not enterprise performance tools or broadcaster technology.
Notable AI Sports Apps (2026)
Personalized Audio & Briefings
Scoutcast.ai — Daily ~2-minute AI audio briefings personalized to your teams, leagues, and fantasy roster. Tap-to-ask follow-up questions. NFL Fantasy Season Pass available. Free on iOS. Scoutcast.ai
Huxe — General AI audio briefing app (not sports-specific) from former Google NotebookLM developers. Users can create sports-focused briefings among other topics.
Fantasy & Betting AI
Sleeper — Fantasy platform with built-in AI trade evaluator, waiver wire recommendations, and predictive player projections. The fastest-growing major fantasy platform.
FantasyPros — Aggregates expert rankings and uses AI consensus modeling to surface lineup recommendations across Yahoo, ESPN, Sleeper, and NFL.com leagues.
DraftKings / FanDuel — Both major DFS and sports betting platforms have integrated AI-powered “best lineup” and bet recommendation features.
Performance & Coaching AI
UPLIFT Labs — Computer vision app that replaces $50,000 motion-capture labs with an iPhone. Serves MLB, NBA, and NCAA teams plus youth organizations. Scaled from 12,000 to nearly 20,000 athletes in 2025.
SportAI — Video analysis platform for coaches and players, available via mobile. API access available for enterprise integrations.
HomeCourt — AI basketball training app that uses computer vision to track shooting form, rep counts, and performance metrics via iPhone camera.
Sports Media AI
WSC Sports — AI video platform used by leagues and broadcasters to automatically generate personalized highlight clips and social content at scale. B2B, not a consumer app.
Why the AI Sports App Category Is Just Getting Started
Despite the ~50 apps currently available, the category is still in early innings for two reasons:
Most are feature additions, not AI-first products. The majority of “AI sports apps” are established platforms — ESPN, Yahoo, theScore — that have bolted AI features onto feed-first architectures built years ago. They weren’t designed from the ground up around AI personalization. This creates an opening for AI-native challengers.
The dominant use case hasn’t been won yet. In music, Spotify won personalized audio. In news, there’s no equivalent winner. In sports specifically — the daily personalized briefing that replaces 45 minutes of fragmented score-checking and podcast listening — there’s no clear market leader. That’s the category Scoutcast.ai is competing to define.
The Fan Demand Signal
The market opportunity is backed by explicit fan preference data:
- 80% of surveyed fans believe AI will have the greatest influence on how they follow sports by 2027
- 56% want AI-powered insights and commentary for past, current, and future events — not just live game coverage
- Fan engagement data shows rising demand for personalized, on-demand sports content vs. scheduled broadcasts and generic feeds
- FOX Sports’ CTO described their 2025 strategy as moving “from one-size-fits-all broadcasts to interactive, personalized experiences” — a signal that the biggest media companies see AI personalization as the future of sports content delivery
AI Sports App Market Growth Forecast
| Year | AI in Sports Market Size |
|---|---|
| 2025 | $5.72 billion |
| 2026 | ~$7.17 billion |
| 2028 | ~$11.23 billion |
| 2030 | ~$17.60 billion |
| 2035 | $54.95 billion |
Based on 25.39% CAGR projection.
Sources
- AI in Sports: Real-World Applications — Imaginovation
- AI in Sports Apps 2025: Benefits, Use Cases & Development Guide — Cygnis
- Best Features for Sports Apps in 2026 — SportsFIRST
- AI Sports Revolution: 12 Innovations Changing Everything — WSC Sports
- How AI Is Used in Sports — GetStream
- UPLIFT Labs
- SportAI
Last updated: May 2026. Updated quarterly as new apps launch.
Frequently asked questions
How many AI sports apps are there?
As of 2026 there are roughly 50 AI-native consumer sports apps across iOS and Android, up from nearly zero in 2022. That count covers fan-facing apps, not enterprise performance tools or broadcaster technology.
How big is the AI in sports market?
The AI in sports market is valued at $5.72 billion in 2025 and projected to reach $54.95 billion by 2035, a 25.39% CAGR. It spans fan apps, fantasy and betting tools, athlete performance technology, and sports media AI.
What are examples of AI sports apps?
Scoutcast.ai (personalized AI audio briefings), Huxe (general AI audio), Sleeper and FantasyPros (fantasy AI), DraftKings and FanDuel (betting AI), UPLIFT Labs, SportAI, and HomeCourt (performance AI), and WSC Sports (media AI).
Why is the AI sports app category still early?
Most “AI sports apps” are established feed-first platforms that bolted on AI features rather than AI-native products, and no clear leader has won the core daily-personalized-briefing use case — leaving an opening for purpose-built challengers.
Do sports fans actually want AI features?
Yes. 80% of surveyed fans believe AI will have the greatest influence on how they follow sports by 2027, and 56% want AI-powered insights and commentary across past, current, and future events — not just live game coverage.
Last updated May 19, 2026