The Industry Directory
People, music, and companies. Follow the relationships behind every record.
AI Music Platforms
The competitive field in motion: disclosed scale, capital, product position, rights posture, and sourced news over time.
Competitive ledger
| Player | Latest scale signal | Capital signal |
|---|
Only measured or company-disclosed values are ranked. Missing comparable data is shown as unavailable.
Disclosed output scale
Suno capital history
Loading historical intelligence…
The business behind every record
Markets, money, rights, and the path from a cut to a career.
The Signal Path
Music flows left to right. Money flows back right to left — and shrinks at every node it passes through. Click any node for who they are, what they take, and where their leverage comes from.
Every intermediary between the listener's dollar and the artist takes a cut — which is why the fastest-growing artist strategies are the ones that shorten this path.
Node Detail
Select a node above.
The Economics, In Four Numbers
A listener's $12/month subscription is split pro-rata across billions of streams — an artist on a standard major deal may keep well under 20% of what their streams generate. Touring and merch pay direct, which is why they out-earn streaming for most artists.
How the Hot 100 Works
One chart, three inputs: streaming, radio airplay, and sales — blended into weekly chart points. Billboard doesn't publish exact weights, and the mix differs per song. Toggle the hit profiles to see how differently a #1 can be built.
Anatomy of Chart Points · approximate
Paid-subscription streams count more than ad-supported; programmed (radio-like) streams count least. Sales punch far above their unit volume — one purchase ≈ many streams in point value.
Most modern #1s are streaming-first: radio follows the chart, it doesn't lead it.
The Tracking Week
day 1
close
publish
chart date
Activity is counted Friday through Thursday. Billboard publishes the following Tuesday; the chart carries the date of the Saturday after that. This is why albums drop on Fridays — a Friday release gets a full 7-day tracking window.
Rules That Shape The Chart
- Friday release ritual. Global release day since 2015 — maximizes first-week tracking capture.
- Bundle ban (2020). Albums/tickets bundled with merch no longer count as music sales — killed a chart-gaming era.
- Stream filtering. Suspected artificial/bot streams are excluded; a stream must play ~30 seconds to count.
- Recurrent rules. Descending songs are removed after 20 weeks if below #50, or after 52 weeks if below #25 — keeps the chart from fossilizing.
Current Hot 100 — Top 20
| POS | MOVE | TITLE / ARTIST | PEAK · WKS |
|---|
Watch the WKS column: long runs at the top mean the formula now rewards sustained streaming catalogs, not just big debuts.
Genre Segmentation
US total album-equivalent consumption share. Box size = share of everything Americans listened to and bought. Click a genre for its consumption mix and 5-year trajectory.
Source: Luminate year-end US reports (approximate, rounded). Shares shift ~1pt/yr; treat as structure, not precision.
Two genres — R&B/hip-hop and rock — are nearly half the market, but the growth is at the edges: country and latin are the share-takers.
Genre Detail
Select a genre above.
Demographics
Who actually listens to what — and where, and whether they pay. Index of 100 = average listener; 150 = 50% over-indexed for that cohort. Directional, synthesized from Luminate/YouGov cohort studies.
Genre × Generation Listening Index
Genres age with their audiences: today's Gen-Z over-index (hip-hop, dance, latin) is tomorrow's Gen-X heatmap row.
Primary Listening Platform by Cohort
% of cohort naming platform among primary listening sources (directional; multi-select).
Paid Subscription Penetration
Share of cohort paying for at least one music subscription (directional).
The money concentrates young: under-45s carry the paid-streaming economy; over-60s still deliver radio's audience — and its ad revenue.
Supply-Side Shock: AI-Generated Volume
Deezer has publicly reported that fully AI-generated tracks grew from roughly 10% of daily uploads in early 2024 to ~28% by late 2025 — tens of thousands of tracks per day. Almost none of it charts, but it dilutes the pro-rata royalty pool every human artist is paid from, and it's forcing DSPs toward detection, labeling, and artist-centric payout models.
Per Deezer disclosures; other DSPs don't publish comparable figures. Watch this number — it's the biggest structural variable in the value chain on the first tab.
The GOAT Ledger
Greatness is dominance relative to the distribution regime an artist competed in. Sales-era records can never be repeated; streaming-era volume was impossible before 2015. Judge the margin, not just the number.
Six Regimes, Six Kings
The GOAT list is a leaderboard of whoever mastered the dominant pipe of their decade — the same pipes on the Value Chain tab.
Hot 100 #1 Singles — All-Time Race
Through July 2026. Amber = still active and climbing.
US Certified Units (RIAA, millions)
Most-certified acts in US history. The Beatles lead ~13% over #2 — with a 55-year head start on streaming-era acts.
Highest-Grossing Tours Ever ($M)
Eras is roughly 1.5x the #2 tour in history — the widest margin on any GOAT metric today.
Most Grammy Wins
Career wins, all fields.
All-Time Tier — click for the case
Current-Era Tier (2015–now) — click for the case
The Case
Select an artist above.
Forecast
Where the machine is headed — 12 months, 5 years, a decade — and where the top spots are winnable for new product. Confidence-tagged: HIGH observable trend, MED directional, SPEC structural bet.
The Door Is Closing: First-Time #1 Artists
Share of Hot 100 #1s including a first-time chart-topper. 55% in 2020 → 10% in 2026 YTD. Incumbents and catalog own the summit.
Supply Flood: AI Share of Daily DSP Uploads
Solid = Deezer-reported. Dashed = projection (directional). The royalty pool dilutes; provenance labeling becomes the filter.
Catalog Eats Consumption
Catalog (18mo+) share of US consumption. New releases compete with all of recorded history — new music must be event-ized to break through.
Where the Next Artist Dollar Comes From
Artist income mix, now vs 2031 (directional). Direct-to-fan is the growth column; pro-rata streaming share shrinks per artist as supply floods.
Three Horizons
Attack Surface — Feeding The Machine For Top Spots
The machine rewards three things you can engineer: release-week eventization, owned superfan demand, and clean provenance. Volume is the losing game — the flood owns volume.
Streaming Ledger
Raw stream counts — the volume beneath the charts. All-time stack rank by artist and by song, plus this week's global top tracks with actual weekly counts. Spotify data via public trackers; snapshot as of the header date.
All-Time Streams by Artist (billions)
Career on-platform totals. Note the top 3 within ~9% of each other — three different regimes (volume, eras, borderless) arriving at the same summit.
All-Time Streams by Song (billions)
| # | SONG | STREAMS |
|---|
Global Top Tracks — This Week (Spotify)
| # | TRACK | THIS WEEK | WKS · TOTAL |
|---|
Platform Market Share — Global Music Subscribers
Share of global paid music subscribers (MIDiA/company reports, approximate). Spotify's share is larger than the next two combined in most Western markets.
YouTube All-Time Most-Viewed (billions)
| # | VIDEO | VIEWS |
|---|
Platform Data Transparency — What's Knowable
Spotify — open
Public play counts per track, public charts, public monthly listeners. The de facto industry scoreboard because it's the only major DSP you can audit from outside.
YouTube — open
Public view counts. A different economy: video views skew global, mobile, and emerging-market — which is why its all-time list looks nothing like Spotify's.
Apple / Amazon — closed
No public per-track counts. Rankings only via their editorial charts. Meaningful revenue (higher per-stream rates than Spotify) but unmeasurable from outside.
Tencent / NetEase — closed
China's duopoly: massive subscriber base, separate catalog universe, zero Western data visibility. A quarter of global subs the Western ledger can't see.
Note the split: Spotify's all-time list is streaming-era pop; YouTube's is global-viral (Despacito 9.1B, Gangnam Style, a Hanuman Chalisa devotional at 5.5B). Platform choice isn't just distribution — it selects which audience defines your numbers.
Song P&L
What a chart position is actually worth per week — modeled from real reported metrics — and the full life arc of recent July #1s from release to today.
#1 vs #100 — The Weekly Economics
The #1 Song
The #100 Song
~12x per week at the summit — but the real gap is duration: #1s live 40–60+ weeks on chart while #100s last a handful. Lifetime revenue gap runs 50–100x. And note what held "Ordinary" at #1: radio, not streaming — the airplay column pays into publishing only, which is why owning your songwriting doubles the prize.
Weekly Gross Royalties by Chart Position
Modeled, US-only, directional. Revenue decays as a power law — position is log(money). The top 10 captures the majority of the chart's total economics.
Who Keeps The #1 Week — $155K Gross Split
Same gross, two deal structures. Major deal: ~20% of recording side post-recoup. Indie: keep ~85% of recording. Writing your own song adds the publishing writer share in both worlds.
Life Arcs — July #1s of 2024 & 2025, Release to Today
Weekly positions reconstructed from published chart milestones — shape-accurate, not week-perfect. Lines end at chart exit (Hot 100 recurrent rules).
Three different machines built three different #1s: playlists built Shaboozey, a rap war built Kendrick, and radio built Warren. The revenue arcs differ more than the chart arcs — the radio annuity keeps paying publishing long after the Hot 100 forgets.
The Credits
The people behind the artists — and the truth the network graph makes visible: mainstream pop is a small-world system run by a handful of hub producers and writers.
Top Producers — Hot 100 #1s Produced
Approximate career totals. Max Martin passed George Martin (The Beatles) for the all-time production record — two men named Martin bracket 60 years of pop.
Top Songwriters — Hot 100 #1s Written
Approximate. Ashley Gorley is the modern volume king in country: 80+ country #1s, a hit-machine model few outside Nashville know exists.
The Collaboration Network — Who Actually Makes The Hits
Edges = repeated hit collaborations (illustrative core of the real network). Hover a node to light its connections.
Note Serban Ghenea: one mix engineer connected to nearly every camp — he has mixed more #1s than any producer has produced. The most valuable people in this industry are invisible on the marquee.
The Producer-Artist Machine — Chainsmokers, Avicii, Calvin Harris
The classification
They're producer-artists: the production brain IS the billed artist brand. Chainsmokers, Avicii, Calvin Harris, Zedd, Kygo, Marshmello — the DJ name takes the artist slot on the chart, and vocalists become inputs.
The vocal supply chain
Vocals arrive three ways: featured credit (Halsey on "Closer"), reduced credit, or full buyout (Aloe Blacc's vocal on Avicii's "Wake Me Up" — one of the most-streamed songs ever, on a modest early deal). The voice is licensed; the brand compounds to the producer.
Why the margins are elite
They collapse three value-chain nodes — songwriter, producer, artist — into one P&L. No producer points paid out, usually strong publishing ownership, and touring is one person + a rig: the highest-margin live business in music (top DJs clear $300–500K per Vegas night).
No official artist at all
The next step exists too: masked brands (Marshmello = pure brand layer over production), white-label releases, and functional/instrumental catalogs with no persona whatsoever. The Forecast tab's decade bet — commodity audio vs human brand — starts here.
For your objective this is the highest-leverage template on this site: the producer-artist model is the only proven structure where the product owner keeps artist economics without needing to BE the performer.
The Other Rooms — Roles That Move The Needle
Mix engineer
Turns a record into a hit-sounding record. A-list mixers (Ghenea, Manny Marroquin) touch dozens of #1s per decade.
Vocal producer
Specialists like Kuk Harrell (Rihanna, Bieber) own the performance itself — a credit most fans never see.
A&R
The label's picking function: signs the artist, pairs them with the right rooms. The network graph above is largely A&R output.
Top-line writer
Melody-and-lyric specialists who sing over finished tracks — the connective tissue between producer camps and artists.
Manager
Runs the business 360: the modern manager is closer to a co-founder, often on 15–20% of everything.
Music supervisor
Controls sync placement — the film/TV/ad slots that revive catalogs overnight and mint new hits from old songs.
Indie Ladder
Independent releases stack-ranked by outcome — who won without a major, what model they used, and what they kept.
Independent Wins — Stack Ranked by Outcome
| # | ARTIST | PEAK OUTCOME | MODEL | WHAT THEY KEPT |
|---|
Ranked by chart/commercial outcome achieved while independent. "Independent" = no major-label recording deal at time of the win; distribution-only deals count as indie.
The pattern in every row: independence isn't anti-label ideology, it's a leverage strategy. Win indie, keep the masters, and either stay (Russ, Tech N9ne) or sell up at peak price (Lil Nas X, Zach Bryan).
The Ladder — Three Rungs of Independence
1 · DIY Distribution
DistroKid, TuneCore, CD Baby. You are the label: upload direct to every DSP. Zero marketing muscle — you bring the demand. This is where Russ built a catalog-flood strategy and where Old Town Road started.
2 · Indie Label / Services
EMPIRE, Stem, AWAL, Secretly, XL. Label services without ownership transfer: funding, radio promo, playlist relationships. This rung took Shaboozey to a record-tying 19 weeks at #1 — proof the ceiling is gone.
3 · Upstream At Peak
The exit: majors buy in AFTER the data proves demand (Lil Nas X → Columbia, Zach Bryan → Warner). Deal terms flip when you arrive with a hit instead of a demo — ownership, points, and control all price differently.
Mapped to the Value Chain tab: the indie ladder is the listener-to-artist direct lane, industrialized. Every rung shortens the signal path — and the Forecast tab says the machine keeps rewarding exactly that.
The Launch Playbook
Demand generation — how a hit actually gets manufactured. Everything else on this site is supply; this is the half that decides chart position.
Where Listeners Discover Music (by cohort)
% naming channel as a primary discovery source (directional, multi-select). Short-form video is the Gen-Z radio; actual radio still owns 55+.
The Viral Conversion Funnel
Directional funnel for a genuine short-form trend. The brutal drop is moment→fan: virality rents attention, release strategy has ~2 weeks to convert it into saves and follows before it evaporates.
The Release Timeline — Engineering Week One
Seed
Creator campaigns on the sound (paid + organic), tease clips, sped-up/slowed variants prepared. Test hooks before committing the release date.
Pre-save
Pre-save/pre-add campaign live. Every pre-save is a day-one stream plus an algorithmic follow signal.
Pitch
Editorial playlist pitch window (Spotify requires ≥7 days pre-release). One shot per song — the pitch copy is a product spec.
Detonate
Friday release = full 7-day tracking window. All variants, physical, and D2C drop same week — sales stack into one chart frame.
Feed the algo
Save rate, completion rate, and playlist-add velocity decide algorithmic placement (Discover Weekly, Radio). Content cadence keeps the sound circulating.
Waterfall
Remix (new feature = new audience + chart points refresh), acoustic/sped-up versions, deluxe. Each variant restarts a discovery loop on the same song.
This is why 7 of 10 #1s this year debuted at #1: the summit is decided before release day. The chart week is the output of a six-week manufacturing process.
Launch Budget Allocation (indie, directional)
Illustrative allocations at three budget tiers. Creator seeding takes the biggest share at every tier — it's the only channel with lottery-ticket upside. "Playlisting" means legitimate pitching/promo, never pay-for-placement botting, which triggers the stream filters on the Forecast tab.
Live Economics
The #1 income line for most artists — modeled from club to stadium, plus where the ticket dollar actually goes.
Gross vs Artist Net — Per Night by Venue Tier
Directional. Clubs lose money (touring as marketing); arenas are where the margin lives; stadiums are their own asset class. Artist net after production, crew, travel, commissions (manager 15%, agent 10%).
Where A $135 Ticket Goes ($100 face + fees)
Headliner-level arena show, directional. The artist takes the biggest single share of face value — but ticketing fees on top are the industry's most contested margin (the Live Nation/Ticketmaster consolidation: promoter, venue, and ticketing in one company).
Merch Per Head by Genre
Average merch spend per attendee. Metal and country fans out-buy pop fans 2x+ — fandom depth converts to commerce at the venue door.
The Special Economies
DJ / residency model
One performer, no band, no trucks: Vegas residencies pay top DJs $300–500K per night at ~80%+ margin — the endgame of the producer-artist structure on the Credits tab.
Festival math
Headliners take $1–5M+ guarantees; mid-card plays for exposure. For rising acts, festivals are marketing paid for by the promoter's headline budget.
The 360 catch
Modern major deals take 10–30% of touring and merch — check the Value Chain tab: the label's hand now reaches the one lane that used to be artist-only.
Why live is forecast-proof
It's the one product AI can't flood: scarcity is physical. The decade bet on the Forecast tab — human-scarcity premium — is live music's balance sheet.
Publishing & Catalog
The composition side — smaller checks, longer life, and the asset class the whole industry is being rebuilt around.
What 1M US Streams Pays, By Copyright
The recording (master) side takes ~4x the publishing side per stream — but publishing collects from places recordings can't: US terrestrial radio, live performance, covers, and sync of the composition.
Sync License Fees — Typical Ranges ($K, midpoints)
Per placement, per side (composition and master each get paid). One national ad campaign can out-earn 50M streams — sync is the highest per-unit price in the industry.
Catalog M&A Multiples (x annual royalties)
Directional deal multiples. The 2020–21 Hipgnosis-era spike priced catalogs like bonds; rates normalized it. Evergreen catalogs still clear ~20x — a hit song is a yield asset with a 50+ year duration.
Deal Structures & The Sampling Tax
Admin deal
10–15% fee, you keep ownership. The default for anyone with leverage — collection infrastructure without equity transfer.
Co-publishing
Publisher takes 25–50% of the publisher's share for advances + sync hustle. The classic trade: money now for ownership later.
Interpolation economics
A huge share of current hits interpolate older songs — and the original writers routinely take 25–75% of the new song's publishing. Nostalgia has a royalty rate.
Why it matters for GTM
Own 100% of clean, machine-readable publishing from day one and every song is both weekly income and a saleable asset at 15–20x. The Forecast tab's programmable-rights decade starts with clean metadata now.
Global View
The US is 40% of the money and a shrinking share of the culture. Where the market is, where it's growing, and the export machines proving the borderless regime.
Recorded Music Revenue by Market ($B, trade value)
IFPI-basis, approximate. The top 10 markets are ~80% of global revenue — but see growth rates before concluding where to aim.
Revenue Growth Rate by Region (%/yr)
Directional recent CAGRs. The mature markets fund today; MENA, Sub-Saharan Africa, and LatAm are compounding at 4–5x their rate. Subscriber growth for the next decade is almost entirely non-Western.
The Export Machines — Proven Borderless Playbooks
K-pop — the industrial model
Trainee pipeline, total IP control by the agency, physical variants as fandom currency, and manufactured groups as narrative worlds. BTS hit #1 again this year; the system, not the act, is the product.
Afrobeats — the sound export
Lagos-built, globally licensed: Burna Boy, Wizkid, Rema. Grew from diaspora playlists to dedicated Billboard charts and stadium tours without changing the sound for the West.
Regional Mexican — the streaming-native surge
Corridos tumbados went from zero US chart presence to top-10 fixtures in 3 years, powered by US Latino streaming demand. No radio, no English, no apology.
Latin pop — the incumbent proof
Bad Bunny: most-streamed artist on Earth three years running, Super Bowl 2026, all in Spanish. The largest single demonstration that language is no longer a market boundary.
GTM implication: the Hot 100 is one scoreboard in one market with the industry's most brutal competition. Global charts and non-Western growth markets offer lower capture costs for the same "chart-topping" brand asset.
Rights, Technology & The Law
The rights map for building AI-assisted music product — what's licensed, what's contested, and what's mandatory. This is your build-specific risk register.
The Four Legal Fronts
1 · Training rights — settling
The Suno/Udio-vs-majors war ended in licensing: settlements with UMG and Warner in 2025 established the licensed-model era — artist opt-in, revenue share, and lawful training data as the new baseline.
2 · Voice & likeness — hardening
Tennessee's ELVIS Act (2024) made voice a protected property right; other states following, EU AI Act adds disclosure duties. Unlicensed voice cloning is the brightest red line in the whole stack.
3 · Output copyright — the trap
US Copyright Office position: purely AI-generated output is NOT copyrightable — human authorship is required. No copyright means no exclusivity: anyone can copy your hit legally. This single rule dictates the product architecture.
4 · Platform rules — tightening
Deezer labels fully-AI tracks; Spotify allows AI music but bans impersonation and filters artificial streaming. Disclosure-clean and provenance-clean product passes; the flood gets filtered.
The Compliant Stack — How To Build Chart-Eligible AI-Assisted Product
Generation layer
Licensed-tier generative tools (post-settlement Suno/Udio class), documented prompts and sessions. The paper trail is the asset.
Human authorship layer
Meaningful human composition, arrangement, lyrics, and production decisions on top of generated material — enough authorship to register the work. This is where exclusivity is born.
Rights & provenance layer
Registered copyrights, cleared voices, disclosed AI use per platform policy, machine-readable splits. Feeds directly into the Publishing tab's catalog-asset math.
The moat isn't the AI — everyone has the AI. The moat is copyrightable, cleared, provenance-clean product in a market that's 30% unfiltered flood. Compliance is the competitive weapon.
The Awards Machine
"Top spots in various categories" includes trophies — a parallel scoreboard with its own mechanics, economics, and arbitrage.
What A Grammy Is Worth — Post-Win Streaming Lift
Directional lift ranges by artist profile. The award is worth most to whoever needs it least famous: Best New Artist wins have produced 10x streaming surges for jazz and niche winners. For superstars it's brand maintenance; for unknowns it's a rocket.
How The Machine Votes
The electorate
~13,000 Recording Academy voting members — working music professionals, not fans. Two rounds: nomination ballot, then finals. Peer politics, not popularity.
Eligibility windows
Roughly Sep–Aug release windows decide which "year" you compete in. Releasing in September vs August can mean facing a completely different field — timing is strategy.
Campaign economics
For-Your-Consideration campaigns run $100K to $1M+ at majors: ads in trades, listening events, member outreach. Trophies are marketed like theatrical releases.
Category arbitrage
84 categories, wildly uneven competition. A win in a winnable field mints the permanent brand asset "Grammy-winning" — the award title doesn't specify the category.
The Scoreboard Ecosystem
Grammys
Peer-voted, prestige apex. Moves catalog and booking fees more than any other award.
CMAs / Latin Grammys
Genre-industry voted. Lower competition density, equal "award-winning" brand value within the lane — the arbitrage play.
VMAs / AMAs / Billboard
Fan-vote and performance-driven — really televised marketing events. Value is the broadcast moment, not the trophy.
The GTM read
Awards are a lagging indicator you can lead: pick the winnable category ecosystem for your genre lane early, and the campaign becomes part of the launch calendar on the Launch tab.