Genre Profile
Idm music is characterized by solid energy that keeps listeners engaged without overwhelming, with a median energy of 50.8%. The genre carries a blend of acoustic and electronic elements (46.3% acousticness). Instrumentalness sits at 84.1%, while danceability registers at 54.7% โ providing enough groove to move to. The emotional tone is deeply melancholic and emotionally heavy, with valence at 19.0%. Speechiness is virtually absent at 4.2%.
The typical idm track moves at a moderate tempo that sits comfortably in walking-pace territory of 122.1 BPM (ยฑ26.9). Tonally, G is the most common key (14 of 100 tracks), and 54% of tracks are in a major key โ showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Rival Consoles, Kyson, Susumu Yokota alongside Plaid, Autechre. The typical track runs about 4.3 minutes, hitting a sweet spot for both streaming and deeper listening.
Production-wise, idm sits at a median loudness of -12.7 dB โ relatively quiet compared to mainstream genres, preserving dynamic range. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic idm sound.
Prompt Lab
How to Prompt a Hit
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BPM 103-140: cerebral pace Energy 40-60%: cerebral, experimental Valence 18-38%: cerebral, experimental, introspective, textured Danceability 48-58%: IDM groove Acousticness 36-56%: granular synth textures Instrumentalness 56-76%: Focus on granular synth Speechiness 5-15%: Clean IDM passages Tempo: cerebral to moderate Key preference: G, F, warm keys
Create a IDM track with: โข granular synth foundation (122 BPM) โข braindance-inspired complex drum patterns โข cerebral granular synth patterns โข processed field recordings generative sequences โข experimental production style โข glitch sound design โข Moderate energy (50%), cerebral mood (28%) โข IDM arrangement (66%), granular synth elements (46%) Artists to reference: Rival Consoles, Kyson, Susumu Yokota, Plaid, Autechre, ยต-Ziq Duration: 3-4 minutes, perfect for textured listening
{
"genre": "idm",
"audio_features": {
"bpm": {"min": 60, "max": 201, "median": 122},
"energy": {"avg": 0.500, "range": "cerebral"},
"valence": {"avg": 0.281, "range": "cerebral, experimental, introspective, textured"},
"danceability": {"avg": 0.534, "range": "IDM groove"},
"acousticness": {"avg": 0.466, "range": "granular synth/organic"},
"instrumentalness": {"avg": 0.662, "range": "focus on granular synth"},
"key_preference": ["G", "F", "B"],
"mode_preference": {"major": 54.0, "minor": 46.0}
},
"production_style": {
"instruments": ["granular synth", "complex drum patterns", "processed field recordings", "generative sequences", "spectral processing"],
"style_tags": ["IDM", "braindance", "glitch", "experimental electronic", "Warp Records"],
"mood_descriptors": ["cerebral", "experimental", "introspective", "textured"],
"tempo_category": "cerebral_to_moderate"
},
"reference_artists": ["Rival Consoles", "Kyson", "Susumu Yokota", "Plaid", "Autechre", "\u00b5-Ziq", "Casino Versus Japan", "Seekae"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " textured listening",
"production_focus": "granular synth foundation"
}
}}
Audio DNA
Key finding: Six audio features define idm's fingerprint: Instrumentalness leads at 84.1%, while Speechiness sits at just 4.2% โ a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 54% of idm tracks are in a major key, with G the most common. Typical BPM: 122.1 (ฯ 26.9).
Emotional Fingerprint
Top Artists
Key finding: Rival Consoles dominates with 15 tracks in the top 100, followed by Kyson (9) and Susumu Yokota (9).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular idm track is “Test & Recognise - Flume Re-work” by Seekae with a popularity score of 70.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 ๐ง idm tracks by popularity, supplemented by Gemini AI audio analysis of 30-second preview clips.
Audio features (energy, valence, acousticness, instrumentalness, danceability, speechiness, tempo, key, mode, loudness, duration) are sourced directly from Spotify's audio analysis pipeline. Production insights, mood classifications, and instrumentation details are generated by Gemini AI.
Data was collected and analyzed by kapiko โ a music analytics platform for AI-era music production.