India Specialty Care 2025 — Market GMV by Category, End-to-End Funnel Economics & the Practo Aesthetics Decision

Compiled June 11, 2026 · 12 specialties benchmarked on 2025 data (FY25 filings, CY2025 prices, 2025-26 studies) · GMV modeled end-to-end: booking → walk-in consult → diagnostics → procedure → repeat — not consultation fees alone · 4 parallel research passes across ~120 sources · 10 load-bearing claims adversarially re-verified · companion to the global aesthetics platforms & procedure-GMV directory
Largest pool overall
GP ₹0.9–1.1 L Cr
Primary care: 74% of India's 4B+ annual consults
#1 specialist by market GMV
Oncology ₹55–75k Cr
Statistically tied with Gynec (₹55–70k) & Peds (₹55–65k)
Highest end-to-end AOV
Onco ₹1.62 L
Per booked patient, 12-mo value (modeled)
Dermatology market rank
#10 of 12
₹18–28k Cr — each top-5 specialist category is 2.3–2.8× larger
…but #1 platform-capturable
Derm ₹3.08 L
Per 1,000 bookings — 2.1× the next-best category
Verdict (weighted score)
Build · 8.4/10
Aesthetics first; dental fast-follow; IVF = partner
Reading this page: HIGH = company filings / government / listed-co results · MEDIUM = credible industry reports & top-tier press · LOW = market-research-vendor estimates · MODEL = our triangulated estimate — the funnel conversions and capturable-GMV figures are modeled, not measured; directional rankings are robust, absolute values carry ±30–40% uncertainty. Definitions: market GMV = consumer spend on services in the category (consults + diagnostics + procedures + hospitalization; excludes retail pharmacy); platform-capturable = the slice a booking platform can route and monetize.

Q1Market GMV by category — India, 2025

Services GMV per specialty, triangulated from three independent anchor sets: (a) hospital-chain specialty revenue mixes from FY25 investor filings (Max, Apollo, Fortis — HIGH), (b) the CRISIL healthcare-delivery market (₹6.3 lakh Cr FY24 → ≈₹7.0 lakh Cr FY25 — HIGH) and Praxis outpatient market (US$26B FY21, 13% CAGR — MEDIUM), and (c) vertical market studies (LOW, used only as cross-checks). Ranges are deliberate — point estimates would be false precision.

Which specialty has the highest market GMV? Counting primary care, General Physician is the largest pool (₹0.9–1.1 lakh Cr) — GPs take 63% of India's consultation spend and 74% of its 4B+ annual consults (Praxis). Among specialist categories: Oncology ranks #1 by midpoint (₹55–75k Cr), but its range overlaps Gynecology+OB+IVF (₹55–70k) and Pediatrics (₹55–65k) — treat the three as statistically tied, with Cardiology (₹50–62k) and Orthopaedics (₹48–60k) just behind. Dermatology — the category behind the aesthetics question — ranks #10 of 12 (₹18–28k Cr); each top-5 specialist category is 2.3–2.8× its size. If category prioritisation were decided on market GMV alone, Practo Aesthetics would lose. Section Q3 shows why that would be the wrong way to decide.

Market GMV ranking — ₹ '000 Cr, 2025 (bars = low–high range, tick = midpoint)

Bar color = dominant evidence grade behind the estimate:filing/govt-anchoredindustry-report-anchoredderivation-only · teal = dermatology (comparison anchor)

Full table — click any column to sort

SpecialtyGMV 2025 (₹ Cr)Mid (US$ B)× DermGrowth (CAGR)GradePrimary anchors

Anchors: Max FY25 gross IP revenue mix — Onco 25.8% (+31% YoY), Cardiac 10.7%, Ortho 10.4% (+30%), Neuro 9.3%, ObGyn&Peds 7.3% (+36%), Gastro 5.0%; Apollo FY25 IP mix — Cardio 19%, Onco 17%, Neuro 10%, Ortho 10%, Gastro 6%; Fortis FY25 — focus specialties (Onco+Neuro+Cardiac+Gastro+Ortho+Renal) = 62% of hospital revenue. CRISIL delivery market ₹6.3 L Cr FY24; IPD ≈ 71% of hospital revenue. Praxis: outpatient US$26B FY21 / 4B+ consults / GP 63% by value. Vertical cross-checks: dental US$2.5B organized (Nexdigm), IVF ≈US$1B (LoEstro/IMARC), aesthetics US$0.65–2.0B (IMARC/GVR — 3× spread flagged), mental-health services ₹8–15k Cr (after stripping IMARC's US$20.8B burden-inclusive figure).

Honesty box — why the ranges are wide: India has no census of specialty-level consumer spend. ENT and Psychiatry have no investable-grade services sizing at all (both are derivation-only, LOW). Vendor figures that bundle drugs/devices/imputed burden (e.g. "oncology market US$11.7B", "mental health US$20.8B") were systematically stripped back to services GMV — they run 2–4× realizable services spend. Cross-foot: the 12 midpoints sum to ₹5.5 lakh Cr = 79% of the ≈₹7 lakh Cr FY25 delivery market; the residual 21% (ophthalmology, urology/renal & dialysis, pulmonology, general surgery, transplants, others) is consistent with chain disclosures.

Q2End-to-end funnel economics — what a booked patient is actually worth

Consultation fees are the smallest part of specialty value. This model follows the money through the full journey you specified: booking (transaction) → % who actually walk in → % converting to diagnostics (+ cost) → % converting to a procedure (+ cost) → repeat rate (+ cost), over a 12-month window per booked patient. Every input is listed with its evidence grade in Methodology; conversions triangulate India studies (prescription audits: investigations advised on 30–64% of OPD scripts; OPD→IPD ≈10–15%; advised-admission acceptance 41–85% by specialty) with global benchmarks where India data doesn't exist (flagged).

Formula: 12-month value per booking = show% × [consult fee + (dx% × dx basket ₹) + (proc% × blended procedure ₹) + (repeat visits × repeat ₹)]. AOV here = end-to-end annual order value of one booked patient, not a consult fee. All outputs MODEL.

End-to-end AOV per booked patient — base case (₹, 12-month value)

Oncology (₹1.62 L) is cropped for readability — its bar value is shown on the label. Teal = dermatology. The consult fee alone (dark segment) is just 3–6% of end-to-end value in procedure-led specialties (0.6% in oncology) and ~20% even in consult-led GP/psychiatry — pricing category bets on consult fees alone understates dermatology 12× and oncology 124×.

Funnel explorer — per 100 booked transactions

Full funnel table — base case (click headers to sort) · all cells MODEL

SpecialtyShow %Consult ₹→Dx %Dx ₹→Proc %Proc ₹ (blended)Repeat visitsRepeat ₹/visitAOV/booking ₹AOV/walk-in ₹× Derm

Blended procedure ₹ = probability-weighted mix within the converting cohort, e.g. Cardiology = 45% angiography-only ₹40k + 45% PCI ₹2.6L + 10% CABG ₹4.5L; Ortho = 8% surgery ₹1.55L (arthroscopy/TKR/spine) + 11% non-surgical intervention ₹9k; Derm = medical-derm minor procedures ₹3–8k majority + aesthetics courses (laser-hair-removal package ₹45k, GFC/PRP course ₹25–35k, scar-laser course ₹30k, botulinum ₹15k/sitting, hair transplant ₹85k minority). Pediatrics: private vaccination (IAP schedule, ₹20–35k year-1) is carried in the repeat layer, not procedures.

Comparison to dermatology (base case): Cardiology (₹18.3k) and Gynecology (₹18.1k) book ~1.8× derm's end-to-end AOV; Ortho 1.3×, Neuro 1.4×; Oncology 15.8×. Below derm: Gastro 0.95×, Peds 0.75×, ENT 0.59×, Dentistry 0.58×, Psychiatry 0.57×, GP 0.17×. Derm's mid-table AOV is not the point — its capture profile is (Q3): ~92% of derm's end-to-end value sits beyond the first consult (procedures ~50%, repeat courses/sessions ~42%), paid cash at clinics that a platform can package and take-rate — vs cardio/onco value locked inside insurer-settled hospital bills.

Q3The inversion — total market vs platform-capturable GMV

Market GMV answers "where is healthcare money". A platform decision needs a different question: "which rupees can a booking platform actually route and monetize?" Three structural filters — % out-of-pocket (insurer/govt-settled spend resists take-rates), % planned & discovery-led (emergencies and referral-locked care aren't bookable), and digital-discovery propensity (who searches for this care online) — invert the ranking. All multipliers are structural estimates MODEL, anchored on payor disclosures (Apollo FY25: insurance 44% / self-pay 41%; Fortis: TPA 37% / cash 34%) and NHA out-of-pocket data.

Platform-serviceable GMV pool (₹ Cr)
= market mid × OOP% × planned% × digital propensity

Platform-capturable revenue per 1,000 bookings (₹)
= demand mix × end-to-end AOV × feasible take-rate

Addressability workings — every multiplier shown · MODEL

SpecialtyMarket mid (₹ Cr)× OOP× Planned× Digital= Serviceable (₹ Cr)Demand mix %Take-rateCapturable /1,000 bkgs (₹)

Demand mix = share of online consultations by specialty. Anchor: Practo Insights — GP + Dermatology + Gynecology together = 51% of all online consults (Mar–May 2020, 5 Cr users; the last published platform-wide split: GP ≈26%, Derm ≈20%, Gynec ≈16%); remaining specialties modeled from Practo's Apr-2024 top-volume list (GP, Derm, Gynec, Peds, ENT) MEDIUM — flagged 2020-vintage. Take-rates are strategic estimates: 15% on cash aesthetics packages vs 2–5% lead-gen fees on insurer-settled hospital procedures (consistent with Pristyn/HexaHealth package economics vs hospital referral fees).

The inversion in one line: Dermatology is #10 of 12 by market GMV (₹23k Cr mid) but #1 by capturable revenue per 1,000 platform bookings (₹3.08 L — 2.1× Gynecology, 4.9× Psychiatry, 6.1× Dentistry, 7.0× the GP pool that dominates raw demand). It is the only specialty scoring ≥0.85 on all three addressability filters: 95% out-of-pocket, ~90% planned, top-3 digital demand. Oncology — the biggest specialist market — collapses to near-last (₹16k per 1,000 bookings): 0.5% of platform demand, 35% OOP, referral-locked. High market GMV ≠ high platform GMV.

Q4Should Practo build Practo Aesthetics — or category-build another specialty first?

Scored across 9 dimensions with disclosed weights. Every cell cites the data behind it (hover/footnotes below). Candidates = the realistic category plays; GP excluded (it is the platform's existing core, not a new category bet).

Decision matrix — weighted scores /10 · MODEL (scores), data per footnote

Candidate Serviceable pool
w 15%
Growth
w 10%
End-to-end AOV
w 10%
Repeat annuity
w 15%
Cash-pay
w 10%
Existing demand fit
w 15%
Competitive whitespace
w 10%
Supply standardizable
w 10%
Regulatory
w 5%
Weighted
Cell evidence: ① Pool/AOV/repeat scores map to Q2–Q3 model outputs. ② Growth: aesthetics sub-segments 12–26% CAGR (fillers procedures +26%/yr 2019→23 ISAPS-India; hair-transplant market ~20%+; Kaya anti-ageing +46% YoY FY25) vs dental 8–10%, IVF 13–16% but cycle volumes flat at the largest chain (ICRA, Sep-2025). ③ Demand fit: Derm top-3 online specialty (51% trio share, Practo 2020); Gynec #3; Practo US launch (Jan 2026) reports strongest adoption in dental and mental health. ④ Whitespace: largest organized aesthetics chain Kaya = ₹217 Cr revenue FY25 after 20+ years, barely break-even; Oliva ₹114 Cr; Bodycraft ₹130–135 Cr (+35–42%); category VC funding $38M cumulative. Dental: Clove ₹378 Cr, 650+ clinics. IVF: Indira ₹1,630 Cr (IPO-approved), Birla 65+ centres, Nova ~70 — consolidated. Surgery aggregation: Pristyn ₹601 Cr revenue / ₹381 Cr loss FY24 — negative proof. Mental health: Amaha ₹31 Cr — open but tiny. ⑤ Regulatory: CDSCO notice May 18, 2026 — injectables are not cosmetics; demand forced into verified-medical settings (tailwind for a verified-doctor platform; safety-liability risk priced into the 7, not a 9). ⑥ Cash-pay: aesthetics/dental ~95% OOP; cosmetic procedures uninsurable by design; vs ortho ~45%, cardio ~40%, onco ~35% OOP (Apollo/Fortis payor mixes + scheme coverage).

Verdict

Yes — build Practo Aesthetics (8.4/10), but build it as a demand-router + trust layer on top of existing clinics, not as owned clinics. Fund dental as the fast-follow (6.7), partner — don't build — in IVF (6.7), attach mental health to existing funnels (6.7), and do not category-build ortho/onco/cardio (≤5.1).

The case does not rest on market size — dermatology is a bottom-3 market and anyone pitching aesthetics on TAM is overselling. It rests on capture: aesthetics is the only category where India-scale demand already sits on Practo's platform, ~95% of spend is cash, ~90% is planned, repeat behaviour is structural (laser courses 6–8 sessions, botulinum 3–4×/yr), no organized competitor has passed ₹250 Cr, and a May-2026 regulation just pushed the grey market toward exactly the asset Practo owns: a verified-doctor graph with 5 lakh+ doctors and 1,000+ audited establishments.

Why build it — the data

  1. Capturable economics lead every alternative by 2×+: ₹3.08 L per 1,000 bookings vs Gynec ₹1.44 L, Psych ₹0.63 L, Dental ₹0.50 L MODEL. Driver: 15%+ take-rates are realistic on cash packages (LHR ₹45k, GFC course ₹25–35k, botulinum ₹15k/sitting) vs 2–5% lead fees on insurer-settled surgery.
  2. The demand is already Practo's: GP+Derm+Gynec = 51% of online consults; derm ≈20% — #2 specialty (Practo Insights, 2020 — last published split) HIGH for the period. Platform consult frequency rose to 4.1/user/yr in CY2024 HIGH. Zero new-demand CAC for the first foothold.
  3. Repeat annuity, cash-settled: modeled 2.6 repeat visits/yr at ₹2,400 blended; clinical norms: laser hair removal 6–8 sessions, botulinum every 3–4 months, GFC/PRP 4–8 sessions HIGH (clinical) — the closest thing healthcare has to a subscription.
  4. Regulatory moat, dated May 18, 2026: CDSCO — injectables (botulinum, HA fillers, glutathione, skin boosters) are drugs, not cosmetics; salon/grey-market supply must migrate to qualified doctors HIGH. Organized, verified-doctor channels are the designated winners (Business Standard, Jun 2026). Practo's audit + verification stack is the exact compliance product the market now needs.
  5. Whitespace with proof of demand: market growing 12–26% by sub-segment; Kaya anti-ageing +46% YoY HIGH; yet the largest chain is ₹217 Cr after 20 years and the category has $38M lifetime VC — fragmentation (35,000 clinics, ~90% unorganized) without a discovery/quality layer MEDIUM. So-Young (China) proved the marketplace model globally; India's equivalent seat is empty.
  6. It fits the IPO story Practo must tell: FY25 India GMV flat at ₹3,500 Cr, revenue ₹234 Cr, first profitable year (op. EBITDA ₹15 Cr, CM 46%) HIGH. Growth narrative currently leans on UAE/US. Aesthetics adds high-margin, transactional, India-side GMV — margin-accretive, unlike consult-fee GMV.

Why not — the steelman (read before committing)

  1. The TAM is genuinely small: ₹18–28k Cr, #10 of 12. Winning 5% of the serviceable pool (₹16.7k Cr) ≈ ₹840 Cr GMV — +24% on FY25 GMV. Material, not transformational. If the IPO needs headline GMV scale fast, big-ticket surgical categories route more rupees per deal.
  2. The decisive numbers are modeled, not measured: 28% consult→procedure and ₹26k blended course value are triangulated (US medspa consult→treatment 50–70%; but KPMG: 70–80% of Indian derm visits are medical, not cosmetic). If Practo's internal derm conversion is <10%, the capturable advantage halves — instrument before you brand.
  3. Category graveyard is real: Kaya ~break-even after two decades; Dr Batra's stagnant (₹170 Cr); the 2010s dental-chain bust shows organized single-specialty retail can fail for a decade straight. Counter: those are clinic-economics failures (CAC + trust); a platform monetizes demand-routing, not chairs — but the precedent caps confidence.
  4. D2C is intercepting the same demand upstream: Traya ₹338 Cr (back to losses, ₹1.08 marketing per ₹1 revenue), Mosaic Wellness ₹736 Cr HIGH — tele-derm funnels capture hair/skin intent before it ever searches for a clinic. Practo must win on doctor-grade trust and outcomes, never on ad spend.
  5. Brand-safety liability is asymmetric: IADVL documents deaths from quack hair transplants; Telangana inspections found unqualified injectors MEDIUM-HIGH. One botched marketplace-routed procedure attacks the core medical brand that the other 80% of Practo monetizes. Mitigation (derm/plastic-surgeon-only supply, audits, outcome tracking) is mandatory cost, not optional.
  6. Opportunity cost at a bad time: management bandwidth is committed to UAE/US + H2-2026 IPO; category building is an 18–24-month grind. Discretionary spend is also cyclical and Tier-1-concentrated (72% of online-consult users are Tier-1).

What would flip the verdict

  • Internal funnel data beats this model: if measured derm consult→paid-procedure <10% or end-to-end AOV <₹8k → dentistry becomes #1 (its 47% case-acceptance and 85% show rate are the most reliable conversions in the entire model, and Practo's own US launch reports dental as its strongest category).
  • If the objective is maximum IPO GMV, not margin: reactivate Practo Care Surgeries in ortho/gynec — bigger tickets route more GMV faster. The warning label: Pristyn burned ₹381 Cr in FY24 on that exact model and is pivoting to owned hospitals; PCS itself has gone publicly silent since 2022.
  • CDSCO enforcement fizzles: if injectable enforcement stalls by mid-2027, the grey market persists and the trust moat narrows — re-score Regulatory from 7 to 5, verdict drops to ~8.0 but still leads.
  • A horizontal rival moves first: Apollo 24|7 or Tata 1mg launching verified aesthetics would erase the whitespace premium (watch: both already merchandise derm consults as flagship categories).

Recommended sequencing — gate-checked, capital-light

Phase 0 · 0–90 days
Instrument the existing derm funnel: measure real consult→procedure %, AOV, repeat, by city. No brand, no spend.
Gate: conversion ≥15% and AOV ≥₹8k confirmed
Phase 1 · Qtr 2–3
Aesthetics discovery vertical: standardized packages (LHR, GFC/PRP, peels, scar laser, botulinum), price transparency, verified-dermatologist badge, top-8 metros. Monetize: booking fee + package take-rate.
Gate: take-rate ≥12% holds; repeat ≥2 sessions/6mo
Phase 2 · Qtr 4–6
"Practo Aesthetics" brand layer: curated partner clinics, financing (reuse PCS playbook), outcome tracking (extend published PROMs), CDSCO-compliance badge as the trust product.
Gate: ₹150–200 Cr annualized GMV; NPS ≥ core
Phase 3 · Yr 2+
Only if take-rate data supports: flagship/franchise formats. In parallel: dental fast-follow (same playbook, case-acceptance economics), IVF via partnerships with Indira/Birla/Nova — never a build.
Decision point, not commitment

Methodology & assumptions

Model definition

12-month value per booked transaction = show% × [consult fee + dx% × dx basket + proc% × blended procedure value + repeat visits × repeat value]. Cohort = new patients booking via a platform; window = 12 months; multi-session treatments (laser courses, chemo cycles, IVF) counted once at committed-course value in the procedure stage, with subsequent-cycle/maintenance spend in the repeat layer (no double-counting). Pediatric private vaccination is carried entirely in the repeat layer. All arithmetic computed programmatically; low/base/high scenarios move conversions and prices together (conservative ↔ aggressive).

Evidence behind every funnel stage

StageIndia evidenceGlobal fallback (used where India absent)How applied
Booking → walk-in"Up to 30%" OPD no-show claim (practice-mgmt vendor) LOW; no peer-reviewed India platform study exists — flagged gapGlobal no-show ~23% (systematic review) HIGH; US by specialty: dental 15%, OBGYN 18%, primary 19%, onco 25%, neuro 26%, derm 30%, peds 30% LOW-MED; prepaid/tele booking cuts no-show (OR 0.40–0.61) HIGH67–85% by specialty: US specialty pattern re-centred on India's ~70–75% paid-booking baseline
Consult → diagnosticInvestigations advised on 60–64% of prescriptions (tertiary audits), ~30% (secondary, MH) MEDIUMUS: labs at 29–40.5% of visits, imaging 11–14% (CDC/NAMCS) HIGH12% (psych) to 92% (onco), clinically skewed within the India 30–64% band
Diagnostic basket ₹2025 lab-chain/aggregator prices: CBC ₹200–300, echo ₹1.5–3.5k, TMT ₹0.8–1.6k, MRI brain ₹2.75–12k, endoscopy ₹1.8–8k, PET-CT ₹10–30k, audiometry ₹0.5–1.8k, OPG ₹285–640 HIGHBlended basket per specialty (not every patient gets every test); aggregator-discount-weighted
Consult → procedureOPD→IPD ≈10–15% (industry norm) MEDIUM; advised-admission acceptance by specialty 41–85% (single-hospital study, n=245) LOW-MED; TMH onco refusal 2.7%/abandonment 1% HIGHOrtho referral→surgery 23–28% (meta-analysis) HIGH; colonoscopy referral→scope 32.5% (NZ); cardio consult→cath 10–30%, cath→revasc 43–46% (UK); dental case acceptance 50–60% (US); aesthetics consult→treatment 50–70% medspa / 38% academic (US); IVF consult→cycle 30–50% (US)2% (GP) to 47% (dental); derm blended to 28% because 70–80% of Indian derm OPD is medical, not cosmetic (KPMG)
Procedure ₹ (blended)2025 package prices: TKR ₹1.8–4.5L, PCI ₹1.5–4.5L, CABG ₹2.5–6L, C-section ₹1–1.8L (mid-range), IVF cycle ₹1–2.5L, lap chole ₹40k–1.5L, FESS ₹25–80k, tonsillectomy ₹25–90k, RCT ₹3–12k, implant ₹20–50k, LHR full-body package ₹1.2–2L, hair transplant ₹55k–2.5L, botulinum ₹12.5–25k/50U, chemo ₹35k–1L/cycle, full private cancer treatment ₹10–20L HIGH/MEDProbability-weighted mix inside the converting cohort (weights shown under the funnel table); aggregator floors run 20–60% below corporate-hospital invoices — mid-points used
Repeat layerPracto platform: 3.2 consults/user/yr (2023) → 4.1 (CY2024); hypertension 5.1, diabetes 3.9, cardiology 2.5 HIGH (platform-reported); psychiatry first-visit dropout 38–60% (Rohtak/Gujarat studies) HIGH; IAP schedule ≈10–13 visits in first 2 yrs HIGH; private year-1 vaccination ₹20–35k HIGHDental recall 55–75% at 6 months (US/CA) MED; LHR 6–8 sessions, botulinum every 3–4 months HIGH (clinical norms); cardio follow-ups ~80% of specialty visit volume (US)0.9 (dental) to 4.5 (peds, vax-inclusive) additional visits/yr × blended repeat value
Market GMVChain FY25 specialty mixes (Max/Apollo/Fortis filings) HIGH × CRISIL delivery market ₹6.3 L Cr FY24 HIGH + Praxis outpatient US$26B FY21 @13% CAGR MEDVendor vertical studies as cross-checks only LOWRanges; midpoints cross-foot to 79% of delivery market (residual = specialties outside the 12)
Addressability & take-ratesApollo FY25 payor mix: insurance 44%/self-pay 41%/govt 10%; Fortis: TPA 37%/cash 34%; NHA: OOPE 39.4% of total health expenditure HIGH as inputsThe multipliers themselves are structural judgments MODEL — shown cell-by-cell in Q3 so you can re-run with your own

Known biases — against aesthetics

  • 2020-vintage demand mix: the GP/Derm/Gynec = 51% split is lockdown-period tele-consult data; derm's true 2025 share of bookings may be lower. No newer platform-wide split has been published — Practo's internal number should replace it.
  • US medspa conversion (50–70%) measures aesthetic-intent walk-ins, not mixed derm OPD; we blended down to 28%, but if Indian platform-booked derm skews acne/infection Rx-only, true conversion could be 10–15%.
  • Metro concentration: 72% of online-consult users are Tier-1; aesthetics skews further premium — the serviceable pool may be effectively 6–8 metros, not India.

Known biases — for aesthetics (model is conservative here)

  • Grey-market formalization upside excluded: CDSCO enforcement shifts currently-unmeasured salon/grey spend into organized GMV — our ₹18–28k Cr range counts little of it.
  • D2C spend sits outside our services GMV: Traya+Mosaic alone bill >₹1,000 Cr/yr of derm-adjacent demand that a doctor-grade platform can intercept.
  • KPMG pegs derm pharma alone at ₹16k+ Cr (2025): services markets typically exceed their pharma shadow — our services range may be floor-biased. Medical tourism for hair transplant also excluded.
  • Compounding caution: multiplying stage estimates compounds error — absolutes ±30–40%; rankings are robust because errors correlate across specialties.
What this is not: this analysis uses zero Practo-internal data — no real booking→show rates, no measured consult→procedure conversion, no actual category mix of FY25-26. Phase 0 of the sequencing exists precisely to replace the four highest-leverage modeled numbers (derm show rate, derm proc-conversion, derm AOV, derm repeat) with measured ones before any capital is committed. Research and verification date: June 11, 2026.

Primary sources

Filings, government & listed-company HIGH

Practo & platforms HIGH (company-reported)

Funnel-conversion studies MEDIUMHIGH

2025 price benchmarks HIGHMED

Market sizing & competitive MEDLOW

Aesthetics regulation 2026 HIGH