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.

430,719
artists followed in every snapshot
2,294
sub-genres with at least 40 artists in the panel
2026-03-28 → 2026-10-28
window measured

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.

GenreTrend7 monthsLast 32027 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

GenreTrend7 monthsLast 32027 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

GenreTrend7 monthsLast 32027 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. 1Photo of Gloria Jessica
    Gloria Jessica
    ID · pop, indie pop
    108K → 6.8M
    +6230% · up 7/7 months
  2. 2Photo of MC DA$ILVA
    MC DA$ILVA
    56K → 2.4M
    +4250% · up 7/7 months
  3. 3Photo of Alyssa Grace
    Alyssa Grace
    US · pop, mainstream pop
    266K → 11.0M
    +4048% · up 7/7 months
  4. 4Photo of RhyRhy
    RhyRhy
    US · hip-hop/rap, contemporary hip hop, hip hop
    44K → 1.5M
    +3436% · up 5/7 months
  5. 5Photo of Alex Crichton
    Alex Crichton
    CA · alternative
    326K → 9.6M
    +2856% · up 7/7 months
  6. 6Photo of Azkal
    Azkal
    US · pop, indie pop
    31K → 790K
    +2419% · up 6/7 months
  7. 7Photo of EBiDAN (恵比寿学園男子部)
    EBiDAN (恵比寿学園男子部)
    JP · pop, asian pop
    82K → 1.7M
    +2011% · up 7/7 months
  8. 8Photo of Scott Steer
    Scott Steer
    GB · dance
    53K → 1.1M
    +1955% · up 5/7 months
  9. 9Photo of Kiss the Scientist
    Kiss the Scientist
    US · alternative, indie rock
    54K → 1.1M
    +1881% · up 7/7 months
  10. 10Photo of Godd Patron
    Godd Patron
    PH · hip-hop/rap
    33K → 642K
    +1839% · up 5/7 months
  11. 11Photo of Kelvin Rey Panamá
    Kelvin Rey Panamá
    35K → 674K
    +1839% · up 6/7 months
  12. 12Photo of Eda Özülkü
    Eda Özülkü
    TR · pop, mainstream pop
    28K → 517K
    +1763% · up 7/7 months
  13. 13Photo of Vini & Lucas
    Vini & Lucas
    BR · asian pop, sertanejo
    102K → 1.9M
    +1722% · up 6/7 months
  14. 14Photo of Bigg Danny
    Bigg Danny
    195K → 3.5M
    +1690% · up 5/7 months
  15. 15Photo of XSKAY11
    XSKAY11
    71K → 1.2M
    +1611% · up 5/7 months
  16. 16Photo of DJ Goja
    DJ Goja
    RO · electronic, slap house, dance
    822K → 13.7M
    +1561% · up 7/7 months
  17. 17Photo of qyurisuu
    qyurisuu
    US · dance
    44K → 710K
    +1523% · up 6/7 months
  18. 18Photo of Antonio Cipriano
    Antonio Cipriano
    US · pop, mainstream pop, electronic
    132K → 2.1M
    +1517% · up 5/7 months
  19. 19Photo of SHIV PAUL
    SHIV PAUL
    IN · rap, hip hop, reggae
    107K → 1.7M
    +1495% · up 6/7 months
  20. 20Photo of Magnolia Celebration
    Magnolia Celebration
    ID · alternative, indie rock
    179K → 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

MarketShareShare shiftListeners
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

MarketShareShare shiftListeners
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%.

2018
77% major · 1,764
2019
70% major · 1,089
2020
70% major · 1,277
2021
70% major · 5,330
2022
66% major · 7,164
2023
49% major · 8,735
2024
52% major · 9,372
2025
32% major · 10,820
2026
38% major · 12,824
Universal, Sony, Warner everyone else

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.

DistributorPlacements, last three yearsvs. 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 → 0.35

how loud, fast and busy a track feels

20182027 0.35

Valence

0.43 → 0.32

how cheerful it sounds

20182027 0.30

Instrumentalness

0.28 → 0.58

how likely it is to have no vocals at all

20182027 0.62

Acousticness

0.53 → 0.61

how much of it is acoustic rather than electronic

20182027 0.60

Danceability

0.54 → 0.49

how steady and dance-ready the groove is

20182027 0.48

Loudness

-11.90 dB → -18.55 dB

average level in dB — lower is quieter

20182027 -19.67 dB

Tempo

117 BPM → 112 BPM

beats per minute

20182027 112 BPM

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.

18
19
20
21
22
23
24
25
26
27
high confidence medium 2027 range for high confidence

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.

PlaylistPFC share of its tracksTracks
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.