Apple Charts · App Store research
Lifestyle sleep tracker AI AI: top App Store apps & competitive landscape
Lifestyle · 18 apps analyzed (9 from App Store charts, 9 from search). Updated 2026-06-23.
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Established demand
Large apps and incumbents that prove users already spend time or money here.
| App | Developer | Rating | Reviews | Rank |
|---|---|---|---|---|
| SleepWatch - Top Sleep Tracker | Bodymatter, Inc. | 4.7★ | 328,502 | #97 |
| Sleep Cycle - Tracker & Sounds | Sleep Cycle AB | 4.7★ | 25,441 | #65 |
Indie AI opportunities
Smaller wedges where AI, better capture, or a narrower workflow could give a small team a shot.
| App | Developer | Rating | Reviews | Rank |
|---|---|---|---|---|
| Pillow: Sleep Tracker | Neybox Digital Ltd. | 4.4★ | 95,518 | #7702 |
| Sleep Tracker ++ | Vimo Labs Inc. | 4.4★ | 8,714 | #9190 |
| Sleepzy - Sleep Cycle Tracker | Mosaic S.r.l. | 4.3★ | 22,383 | #8574 |
| Rem: Auto Sleep Tracker Watch | WELLBEINE TECHNOLOGIES INC | 4.2★ | 2,662 | #12011 |
| Happy Baby - Sleep & Tracker | Aumio GmbH | 4.7★ | 485 | #14320 |
| Snoozy: Sleep Sounds & Tracker | BEGAMOB GLOBAL LIMITED | 4.5★ | 139 | #16103 |
| Sleepia: Smart Sleep Tracker | Piatech Yazilim Anonim Sirketi | 4.6★ | 142 | #14231 |
| SleepScore by Sleep.ai | Consumer Sleep Solutions LLC | 4.4★ | 7,481 | — |
Niche comps and long-tail projects
More specific apps to inspect for positioning, keywords, pricing, and feature scope.
| App | Developer | Rating | Reviews | Rank |
|---|---|---|---|---|
| Owly: Baby Sleep Tracker & AI | Fatma Kaplan | 2.6★ | 5 | — |
| Somno - AI Sleep Tracker | Remix Design Studio | 4.6★ | 24 | — |
| Nod AI - Sleep Tracker | Emil Ashurov | — | — | — |
| Nocturne - AI Sleep Tracker | Accessible Resources Ltd | — | — | — |
| Sleep Time: Cycle Alarm Clock | Azumio Inc. | 4.7★ | 5,365 | — |
| Tenacity AI: Lifestyle Tracker | TappdIn AI Inc. | 4.8★ | 26 | — |
| Sleepwave: Alarm & Tracker | Reviva Softworks Ltd | 4.7★ | 6,403 | — |
| Dormeer: AI Sleep Tracker | Qounter Studio LLC | — | — | — |
Related topics
Search first selects the strongest keyword matches using relevance, revenue, demand, and observed rank signals; the table defaults to observed App Store rank.