Apple
Shazam: Find Music & Concerts
Publisher DNA
What defines Apple?
AI intelligence is not yet available for Apple. The portfolio data below is up to date.
Portfolio
What does Apple ship?
Apps
1 app analysed
Find songs, concerts, lyrics & videos. Play or connect to stream music now!
Minimalist UI reduces friction during time-sensitive discovery
- Highly accurate audio recognition algorithms consistently identify songs across diverse genres and environments for users
- Technical instability and frequent application crashes disrupt the user experience during active song identification sessions
Distributed across 19 markets, strongest in Europe.
Based on 1 of 1 app with localized market data · last scanned .
Americas (4)
- Brazil1 / 1
- Canada1 / 1
- Mexico1 / 1
- United States1 / 1
Europe (8)
- France1 / 1
- Germany1 / 1
- Italy1 / 1
- Netherlands1 / 1
- Portugal1 / 1
›+3 more europe markets
- Spain1 / 1
- Turkey1 / 1
- United Kingdom1 / 1
Asia-Pacific (7)
- Australia1 / 1
- India1 / 1
- Indonesia1 / 1
- Japan1 / 1
- Singapore1 / 1
›+2 more asia-pacific markets
- South Korea1 / 1
- Vietnam1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
1
Positive apps
0
Neutral / mixed
0
Negative apps
85/100
Avg sentiment score
Rivals
Who does Apple compete with?
The rivals identified
Nemeses(1)
Both applications target music identification, with the rival directly competing for users who need to identify audio playing within social media platforms like TikTok and Instagram.
Contenders(10)
Both applications target music enthusiasts needing to identify tracks via audio capture, creating direct competition for the same discovery-focused user base.
Both applications target music discovery through audio recognition, directly competing for users seeking to identify songs playing in their immediate environment.
Both apps serve music listeners, with Genius providing lyrical context while Shazam provides identification, creating a shared user journey for music discovery and consumption.
Both apps target music listeners and offer music identification, creating a direct overlap in the discovery and utility space.
Both applications provide audio recognition for music discovery, targeting users who need to identify songs playing in their immediate environment.
Both applications target music discovery through audio recognition, competing for the same user base seeking to identify tracks from their environment or media files.
Both apps compete for the same music identification audience, with SoundHound offering a voice-AI alternative to Shazam's core fingerprinting loop.
Both apps target music listeners needing real-time identification, with Identify Song directly challenging the core discovery loop by offering cross-device synchronization that the source app lacks.
Both applications target music listeners requiring song identification, with overlapping core functionality in audio recognition and library management.
Both applications target music listeners needing real-time track identification, creating direct competition for the same user intent during song discovery.
Same space(7)
Deezer competes for the same music listener attention by bundling discovery tools like Flow directly into a streaming service.
Liri uses the Shazam identification engine to provide a specialized, synchronized lyrics experience for physical vinyl listeners.
Lyrics Finder targets the same music-listening audience by focusing on the reading and archival aspect of song metadata.
Lyrics.com functions as a legacy research utility that captures the same music-curious audience through SEO-driven web content.
Music Downloader serves users seeking offline access to tracks, functioning as a storage utility rather than a discovery engine.
TIDAL targets the same music-focused demographic but prioritizes high-fidelity audio hardware integration over Shazam's discovery-first utility.
Dynamic-Lyrics extends the music discovery loop by providing persistent, system-level lyric synchronization across iOS interfaces.
