Projections 2027
Where the industry is heading
What our own data says about the next twelve months: which genres and niches are accelerating, which are fading, which artists are breaking out, and how AI changes the board. Six readings of our own data, each with its method and its error band on the page.
Genre momentum
What is accelerating, and what is fading
We follow the same artists month after month — 430,719 of them, every one with a Spotify monthly-listener reading in all 8 snapshots — and add up their listeners by genre. Because the panel is fixed, a genre can only move when people actually listen more or less, not because we started tracking more artists. 359,330 of those artists carry genre tags, down to the sub-genre.
Sub-genres gaining the most
Ranked by growth in panel listeners over the window. The 2027 band is the window rate and the last-quarter rate, both compounded twelve months out — a projection, not a measurement.
| Genre | Trend | 7 months | Last 3 | 2027 band |
|---|---|---|---|---|
garage house electronic ·60 artists · 29M listeners | +63.7% | +2.4% | +10% to +133% | |
comedy comedy & spoken word ·580 artists · 74M listeners | +47.8% | +47.8% | +96% to +378% | |
bassline european ·76 artists · 23M listeners | +47.4% | +5.5% | +24% to +95% | |
forro tradicional latin ·99 artists · 21M listeners | +45.9% | +31.8% | +91% to +202% | |
lebanese pop pop ·69 artists · 20M listeners | +43.8% | +11.6% | +55% to +86% | |
classic danish pop pop ·155 artists · 20M listeners | +43.6% | -13.4% | -44% to +86% | |
rap espanol hip-hop & rap ·246 artists · 150M listeners | +41.9% | +37.2% | +82% to +254% | |
rap maroc hip-hop & rap ·114 artists · 30M listeners | +39.5% | +7.1% | +31% to +77% | |
swedish synthpop pop ·52 artists · 55M listeners | +38.4% | +14.4% | +72% to +75% | |
gujarati garba asian ·64 artists · 31M listeners | +38.3% | +45.8% | +74% to +352% |
Sub-genres above 20M panel listeners. 8 monthly snapshots.
Sub-genres losing ground
| Genre | Trend | 7 months | Last 3 | 2027 band |
|---|---|---|---|---|
classic punjabi pop pop ·50 artists · 21M listeners | -24.2% | -3.5% | -38% to -13% | |
classic malaysian pop pop ·111 artists · 25M listeners | -24.1% | +4.7% | -38% to +20% | |
phonk hip-hop & rap ·210 artists · 69M listeners | -23.6% | -9.3% | -37% to -32% | |
workout product electronic ·71 artists · 55M listeners | -22.3% | -12.7% | -42% to -35% | |
celtic european ·174 artists · 31M listeners | -22.0% | +12.4% | -35% to +60% | |
modern indie pop pop ·85 artists · 119M listeners | -18.6% | -2.0% | -30% to -8% | |
meme rap hip-hop & rap ·176 artists · 60M listeners | -17.8% | -8.1% | -29% to -29% | |
lo-fi chill electronic ·90 artists · 24M listeners | -16.8% | -4.4% | -27% to -16% | |
uk americana american ·40 artists · 22M listeners | -15.2% | +2.5% | -25% to +10% | |
country rap hip-hop & rap ·87 artists · 37M listeners | -14.6% | -10.0% | -34% to -24% |
Same panel, same window, ranked the other way.
The big genres
| Genre | Trend | 7 months | Last 3 | 2027 band |
|---|---|---|---|---|
pop 90,638 artists · 39.8B listeners | +6.5% | +3.1% | +11% to +13% | |
hip-hop & rap 73,757 artists · 21.7B listeners | +4.3% | +3.4% | +8% to +14% | |
electronic 80,741 artists · 15.9B listeners | +2.0% | -0.4% | -2% to +4% | |
latin 26,193 artists · 13.6B listeners | +9.4% | +5.9% | +17% to +26% | |
rock 36,637 artists · 13.4B listeners | +8.2% | +3.6% | +14% to +15% | |
r&b, funk & soul 18,584 artists · 9.5B listeners | +5.7% | +3.7% | +10% to +16% | |
alternative 26,591 artists · 9.3B listeners | +6.9% | +6.3% | +12% to +28% | |
asian 6,027 artists · 5.9B listeners | +5.0% | +4.4% | +9% to +19% |
Root genres. An artist counts in every genre it carries, so these overlap and do not sum to the catalogue.
Balanced panel of artists with a Spotify monthly-listener reading in every snapshot. Genres are Soundcharts artist tags (root:subgenre); an artist counts in every genre it carries, so genre totals overlap and do not sum to the catalogue.
Artists to watch
Who is breaking out into 2027
The same panel, read one artist at a time. To make this list an artist had to start the window small (between 25,000 and 2,000,000 monthly listeners), grow at least 50% across it, go up in at least 5 of the seven months, still be climbing in the last quarter, and never multiply their listeners by more than 4× in a single month — a jump that big is a change in the source data, not a career. 7,964 artists cleared those rules; these are the fastest.
- 1
Gloria JessicaID · pop, indie pop108K → 6.8M+6230% · up 7/7 months - 2
MC DA$ILVA56K → 2.4M+4250% · up 7/7 months - 3
Alyssa GraceUS · pop, mainstream pop266K → 11.0M+4048% · up 7/7 months - 4
RhyRhyUS · hip-hop/rap, contemporary hip hop, hip hop44K → 1.5M+3436% · up 5/7 months - 5
Alex CrichtonCA · alternative326K → 9.6M+2856% · up 7/7 months - 6
AzkalUS · pop, indie pop31K → 790K+2419% · up 6/7 months - 7
EBiDAN (恵比寿学園男子部)JP · pop, asian pop82K → 1.7M+2011% · up 7/7 months - 8
Scott SteerGB · dance53K → 1.1M+1955% · up 5/7 months - 9
Kiss the ScientistUS · alternative, indie rock54K → 1.1M+1881% · up 7/7 months - 10
Godd PatronPH · hip-hop/rap33K → 642K+1839% · up 5/7 months - 11
Kelvin Rey Panamá35K → 674K+1839% · up 6/7 months - 12
Eda ÖzülküTR · pop, mainstream pop28K → 517K+1763% · up 7/7 months - 13
Vini & LucasBR · asian pop, sertanejo102K → 1.9M+1722% · up 6/7 months - 14
Bigg Danny195K → 3.5M+1690% · up 5/7 months - 15
XSKAY1171K → 1.2M+1611% · up 5/7 months - 16
DJ GojaRO · electronic, slap house, dance822K → 13.7M+1561% · up 7/7 months - 17
qyurisuuUS · dance44K → 710K+1523% · up 6/7 months - 18
Antonio CiprianoUS · pop, mainstream pop, electronic132K → 2.1M+1517% · up 5/7 months - 19
SHIV PAULIN · rap, hip hop, reggae107K → 1.7M+1495% · up 6/7 months - 20
Magnolia CelebrationID · alternative, indie rock179K → 2.8M+1460% · up 7/7 months
Artists with a Spotify monthly-listener reading in all 8 snapshots, between 25,000 and 2,000,000 listeners at the start of the window, up at least 50% across it, rising in at least 5 of 7 months and still rising in the last quarter, with no single month multiplying their listeners by more than 4 (a jump that big is a change in the source data, not a career). Not mainstream or superstar. This is a watchlist, not a forecast: it says who is climbing fastest right now, not where any one career lands.
Markets
Where the listening is moving
The same panel again, grouped by where the artist is from — not where the listening happens. Across the window the panel grew 5.3% in total, so a market only gains share by growing faster than that. The shift is in percentage points of the panel's listening, which is why a country can grow and still lose ground.
Gaining share
| Market | Share | Share shift | Listeners |
|---|---|---|---|
Mexico 10,346 artists in the panel | 4.7% | +0.19 pp | 4.0B+10% |
Pakistan 445 artists in the panel | 0.5% | +0.10 pp | 379M+37% |
Spain 9,494 artists in the panel | 1.9% | +0.09 pp | 1.6B+10% |
Colombia 3,514 artists in the panel | 1.7% | +0.06 pp | 1.4B+9% |
Canada 8,744 artists in the panel | 2.4% | +0.05 pp | 2.0B+8% |
Puerto Rico 1,130 artists in the panel | 2.4% | +0.04 pp | 2.0B+7% |
Philippines 1,975 artists in the panel | 0.9% | +0.04 pp | 762M+10% |
Nigeria 2,344 artists in the panel | 0.7% | +0.04 pp | 579M+12% |
Brazil 16,974 artists in the panel | 6.8% | +0.03 pp | 5.7B+6% |
France 12,847 artists in the panel | 2.5% | +0.03 pp | 2.2B+7% |
Countries with at least 150 artists in the panel.
Losing share
| Market | Share | Share shift | Listeners |
|---|---|---|---|
India 7,471 artists in the panel | 8.6% | -0.15 pp | 7.2B+4% |
Germany 20,165 artists in the panel | 3.0% | -0.12 pp | 2.5B+1% |
United Kingdom 26,288 artists in the panel | 8.7% | -0.11 pp | 7.4B+4% |
Australia 11,136 artists in the panel | 2.3% | -0.10 pp | 1.9B+1% |
South Korea 3,114 artists in the panel | 1.1% | -0.09 pp | 912M-3% |
Italy 9,091 artists in the panel | 1.5% | -0.07 pp | 1.3B+1% |
Netherlands 7,824 artists in the panel | 1.4% | -0.06 pp | 1.1B+1% |
Sweden 7,110 artists in the panel | 1.3% | -0.06 pp | 1.1B+1% |
Balanced panel of artists with a Spotify monthly-listener reading in every snapshot, grouped by the country on the artist's profile — where the act is from, not where it is listened to. Share is that country's slice of the panel's listening; the shift is in percentage points, so a country can grow and still lose share.
Who controls editorial
The majors lost half of editorial playlisting
Every track that entered an editorial playlist in our scope, counted in the year it was placed — not the year it was released, because the question is who is being put in front of listeners. In 2018 the three majors took 77% of the placements we can attribute. In 2026 they take 38%.
Shares are of the 62% of placements, on average, whose distributor we have on file. Independent releases are likelier to be missing one, so the independent share here is a floor rather than a ceiling — the real shift is at least this big.
And this is who took the room
The majors did not lose to one rival. They lost to distribution infrastructure: Fuga, AudioSalad, Believe and DistroKid went from almost nothing to thousands of placements a year.
| Distributor | Placements, last three years | vs. first three |
|---|---|---|
| Universalmajor | 2,881 | 773 → 2,881 |
| Sonymajor | 3,140 | 860 → 3,140 |
| Fuga | 3,585 | 14 → 3,585 |
| AudioSalad | 3,106 | 18 → 3,106 |
| Warnermajor | 1,513 | 470 → 1,513 |
| Believe | 1,002 | 157 → 1,002 |
| DistroKid | 730 | 60 → 730 |
| Epidemic Sound | 175 | 21 → 175 |
| Downtown | 87 | 49 → 87 |
| Concord | 84 | 45 → 84 |
| IDOL | 168 | 17 → 168 |
| Symphonic | 146 | 3 → 146 |
Every track entering an editorial playlist in our scope, counted in the year it was placed and attributed to its distributor. Major means Universal, Sony or Warner. Shares are of placements whose distributor we know; the unknown share is reported alongside. Independent releases are likelier to be missing a distributor, so the independent share is a floor. This scope leans towards background and functional playlists, so it describes editorial placement, not the whole market.
The sound of 2027
Editorial music is getting quieter, calmer and wordless
The audio of every track placed in an editorial playlist, averaged by the year it was placed. Two numbers carry the story. Instrumentalness — how likely a track is to have no vocals at all — went from 0.28 to 0.58, and the average placement got 6.7 dB quieter. Editorial playlisting is drifting from songs people listen to towards music people put on.
Energy
0.46 → 0.35how loud, fast and busy a track feels
Valence
0.43 → 0.32how cheerful it sounds
Instrumentalness
0.28 → 0.58how likely it is to have no vocals at all
Acousticness
0.53 → 0.61how much of it is acoustic rather than electronic
Danceability
0.54 → 0.49how steady and dance-ready the groove is
Loudness
-11.90 dB → -18.55 dBaverage level in dB — lower is quieter
Tempo
117 BPM → 112 BPMbeats per minute
Solid line: measured, 2018 to 2026. Dashed: the 2027 projection. 58,375 placements, all of them with audio features on file. Audio features of every track placed in an editorial playlist in our scope, averaged by the year it was placed; a track placed several times in one year counts once. Every placed track has features on file. The 2027 point extends the least-squares trend of the last five years by one year — a projection, not a measurement. The scope leans towards background and functional playlists, so this is the sound of editorial placement, not of all music.
Fake artists
The PFC wave peaked in 2025
Of the 29,907 artists we scored, 531 look like PFC with high confidence and 1,600 with medium confidence. Counting the years in which those artists were placed in editorial playlists, their share climbed from nothing to 6.1% in 2025 — and then fell to 3.6% in 2026, the first drop in the series.
Read this one carefully: artists are classified as they look today, and the series then asks when they were placed. So it is how much editorial placement today's PFC artists accumulated per year, not the PFC share measured at the time. The 2027 range is deliberately wide — its low end carries on the 2026 reversal, its high end the climb that came before — because one year is not enough to tell a correction from a turn.
The playlists most exposed
Sleep, calm, covers, noise. The exposure is concentrated exactly where listening is least attentive — which is also where the sound of 2027 is heading.
| Playlist | PFC share of its tracks | Tracks |
|---|---|---|
| Sleepy Covers | 64% | 98 |
| Relaxing Piano Covers | 60% | 115 |
| Calming Instrumental Covers | 53% | 154 |
| Brown Noise for Sleep | 53% | 200 |
| Calm | 53% | 162 |
| Deep Sleep Noise | 52% | 300 |
| The Piano Bar | 51% | 125 |
| Perfect Concentration | 50% | 167 |
| Instrumental Guitar Focus | 50% | 113 |
| Focus Piano | 49% | 149 |
Artists are classified by the PFC score as they look today; the series then counts the years in which those artists were placed in editorial playlists. It therefore reads as how much editorial placement today's PFC artists accumulated per year, not as the PFC share measured at the time — a second tracklisting cut would be needed for that. Shares are of placements we can attribute to a scored artist.
The calls
Three things we expect to happen in 2027
AI music becomes regulated, not banned
The ElevenLabs–Universal line of deals points to licensed AI platforms that pay rights holders. 2027 is the year the licensed lane separates from the unlicensed one.
Language models move into the DAW
The growth is in assistants inside the session — naming, arranging, searching, mixing — rather than in fully generative tracks. Agents become part of the tool chain.
AI uploads keep climbing, AI listening does not
Supply and demand have been diverging all through 2026. The projection puts a band on both and says which one platforms will act on first.
Every projection states its method, its window and its error band, and is labelled a projection, not a measurement. The editorial-playlist universe this report is built on leans towards background and functional music, so genre levels are not a picture of global listening — the movement over time is what the projections read.