Genre Profile
Edm music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 76.4%. The genre carries predominantly electronic production (7.3% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.0%, while danceability registers at 65.7% — making it highly danceable. The emotional tone is emotionally balanced, neither overtly happy nor sad, with valence at 46.4%. Speechiness is virtually absent at 4.7%.
The typical edm track moves at a moderate tempo that sits comfortably in walking-pace territory of 123.0 BPM (±15.6). Tonally, G#/Ab is the most common key (14 of 100 tracks), and 56% of tracks are in a minor key — showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like David Guetta, Marshmello, The Chainsmokers alongside Avicii, Tiësto. The typical track runs about 3.1 minutes, optimized for streaming attention spans.
Production-wise, edm sits at a median loudness of -5.0 dB — heavily compressed and maximally loud, typical of genres competing for streaming attention. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic edm sound.
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BPM 104-125: euphoric pace Energy 64-84%: euphoric, high-energy Valence 37-57%: euphoric, high-energy, anthemic, pulsing Danceability 61-71%: EDM groove Acousticness 2-22%: synth leads textures Instrumentalness -6-13%: Focus on synth leads Speechiness 6-16%: Clean EDM passages Tempo: euphoric to moderate Key preference: G#/Ab, G, warm keys
Create a EDM track with: • synth leads foundation (122 BPM) • dance-inspired sidechained bass • euphoric synth leads patterns • risers drops • high-energy production style • festival sound design • Moderate energy (74%), euphoric mood (47%) • EDM arrangement (3%), synth leads elements (12%) Artists to reference: David Guetta, Marshmello, The Chainsmokers, Avicii, Tiësto, MEDUZA Duration: 3-4 minutes, perfect for pulsing listening
{
"genre": "edm",
"audio_features": {
"bpm": {"min": 83, "max": 159, "median": 122},
"energy": {"avg": 0.743, "range": "euphoric"},
"valence": {"avg": 0.474, "range": "euphoric, high-energy, anthemic, pulsing"},
"danceability": {"avg": 0.664, "range": "EDM groove"},
"acousticness": {"avg": 0.124, "range": "synth leads/organic"},
"instrumentalness": {"avg": 0.032, "range": "focus on synth leads"},
"key_preference": ["G#/Ab", "G", "B"],
"mode_preference": {"major": 44.0, "minor": 56.0}
},
"production_style": {
"instruments": ["synth leads", "sidechained bass", "risers", "drops", "four-on-the-floor kick"],
"style_tags": ["EDM", "dance", "festival", "house", "progressive"],
"mood_descriptors": ["euphoric", "high-energy", "anthemic", "pulsing"],
"tempo_category": "euphoric_to_moderate"
},
"reference_artists": ["David Guetta", "Marshmello", "The Chainsmokers", "Avicii", "Ti\u00ebsto", "MEDUZA", "Kygo", "Bebe Rexha"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " pulsing listening",
"production_focus": "synth leads foundation"
}
}}
Audio DNA
Key finding: Six audio features define edm's fingerprint: Energy leads at 76.4%, while Instrumentalness sits at just 0.0% — a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 56% of edm tracks are in a minor key, with G#/Ab the most common. Typical BPM: 123.0 (σ 15.6).
Emotional Fingerprint
Top Artists
Key finding: David Guetta dominates with 9 tracks in the top 100, followed by Marshmello (9) and The Chainsmokers (7).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular edm track is “I'm Good (Blue)” by David Guetta with a popularity score of 98.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Edm Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 ⚡ edm 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 — a music analytics platform for AI-era music production.