100% of UPI transactions, all legs
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01
India runs 38.7 billion UPI transactions a quarter.
More real-time payments than anywhere on earth, and still compounding. 2026Q2, PhonePe's own share of them.
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02
63.9% of them are merchant payments.
Someone buying something. This is the leg a merchant discount rate could ever be charged on, and it is the busy one.
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03
But merchant payments are only 23.0% of the rupees.
Volume and value have separated. Person-to-person transfers are 30.8% of transactions but 71.2% of the money: fewer, far larger. The busy half is the small-ticket half, averaging ₹425.
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04
That busy half earns ₹0.
Under zero-MDR the merchant leg is free to accept. India built the rails, then priced the only monetisable side of them at nothing. Who captures the value, and is there a business here?
The answer, first
India's payments rails have separated volume from value and priced the busy half at zero. Merchant payments are 64% of transactions but 23% of the rupees, and merchant is the only leg an MDR could touch. The market is concentrated at the same time as it is unmonetised, which is why the share cap cannot bind, and why the investable business here is distribution, not transactions.
- 64% / 23% Merchant payments carry the transactions; P2P carries the rupees. The busy leg earns nothing.
- 78% Two apps intermediate four in five transactions, and both breach the 30% cap due this December.
- 4.3bn Transactions a month that would have to change app for the cap to bind. It will not bind.
- 114bps The private-bank margin advantage, and it splits almost evenly between pricing and funding.
- ₹0 50.7M merchants, ₹2,06,685 of GMV each per quarter, no payment revenue.
- 4.3× Wrappers per real strategy on India’s fund shelf. Most of the product count is packaging.
A Payments landscape and the monetisation gap
Exhibit 1 · Volume against value
Merchant payments carry 64% of transactions but 23% of the rupees
P2P is the mirror image: 31% of transactions, 71% of value. Volume and value have separated.
PhonePe Pulse, 2026Q2. PhonePe's own transactions, not all of UPI. Accessed 2026-08-20.
Exhibit 2 · The revenue gap
Every rate other than the one in force would produce real revenue
Quarterly revenue the merchant leg would generate at each MDR, on 10.48 lakh crore of merchant GMV. The rate in force is 0bps.
PhonePe Pulse, 2026Q2. PhonePe's own transactions, not all of UPI. Accessed 2026-08-20.
Exhibit 3 · Ten years of volume
Volume compounds without pause, and the series shows exactly where its data came from
The open mirror of NPCI's series stops in August 2023. Later months were transcribed from NPCI's own table, and are coloured differently rather than silently merged.
NPCI monthly product statistics: open CKAN mirror to 2023-08, then transcribed from npci.org.in on 2026-08-20. Four months NPCI does not publish in its ten-row table are left as gaps, not interpolated.
Exhibit 4 · Growth bridge
Retail contributed 64% of all volume growth between 2018Q1 and 2026Q2.
Where the extra transactions came from. The merchant leg is the one a discount rate could be charged on.
PhonePe Pulse, 2026Q2. PhonePe's own transactions, not all of UPI. Accessed 2026-08-20.
B Market structure and the share cap
- PhonePe45.9%
- Google Pay32.3%
- Paytm8.1%
- Navi4.0%
- super.money1.8%
- BHIM1.0%
- FamApp0.9%
- WhatsApp0.7%
- Axis Bank apps0.6%
- CRED0.6%
Exhibit 5 · Who captures the value
Two apps intermediate 78% of India's transactions, and both sit above the 30% cap
2026-07. Column width is share of transactions, height is average ticket, so area is roughly rupees moved.
above the 30% cap within the cap everyone else Area ≈ rupees moved. Hover a column for detail.
NPCI UPI Ecosystem Statistics, per-application volume and value, transcribed 2026-08-21. Shares computed against the NPCI national monthly total.
Exhibit 6 · The cap gap
Complying would move 4.3 billion transactions a month between apps
Share of national UPI volume by app. The dashed line is the 30% cap; panels that breach it are marked.
2023-12 → 2026-07
2023-12 → 2026-07
2023-12 → 2026-07
2023-12 → 2026-07
2023-12 → 2026-07
2023-12 → 2026-07
NPCI UPI Ecosystem Statistics and NPCI monthly product statistics.
Exhibit 7 · Share shift
The leaders have barely moved; the challengers started from nothing
Share of national UPI volume, first period against latest.
NPCI UPI Ecosystem Statistics.
Exhibit 8 · Concentration
Concentration is falling, nowhere near fast enough to matter by December
Herfindahl-Hirschman Index on true national volume shares. Above 2,500 is 'highly concentrated' by most competition authorities.
Computed from NPCI per-application data.
C Banking health scan
- Axis BankPrivate
- Bank of BarodaPublic
- Canara BankPublic
- HDFC BankPrivate
- ICICI BankPrivate
- IndusInd BankPrivate
- Kotak Mahindra BankPrivate
- Punjab National BankPublic
- State Bank of IndiaPublic
- Union Bank of IndiaPublic
Exhibit 9 · Cohort margins
Private banks hold a 114bps margin advantage that has not closed
NIM proxy: net interest income over average total assets, computed from filed statements. The shaded band is the gap.
Filed annual income statements and balance sheets, retrieved via yfinance. A proxy, not reported NIM. Banks use average earning assets, a smaller denominator.
Exhibit 10 · Margin decomposition
The advantage splits almost evenly between what banks earn and what they pay
FY2026. Neither lever alone closes the gap, which is why it persists.
Filed annual income statements and balance sheets, retrieved via yfinance.
Exhibit 11 · Financial inclusion
Each banked adult now runs 14.9 UPI transactions a month
Up from 4 in 2021. Access stopped being the constraint; intensity is the story, and the cost base.
World Bank Findex account ownership (% of population 15+); the 15+ base is total population minus ages 0–14. UPI volume is the mean month of each year.
Exhibit 12 · The market's verdict
The thinner-margin cohort massively outperformed: the franchise was already in the price
Median price return by cohort, 2021-08-23 to 2026-08-21.
Daily closes via yfinance. Price return only, and it excludes dividends, which understates the higher-yielding public cohort.
D Private equity diligence simulation
Exhibit 13 · Unit economics
50.7 million merchants, ₹2,06,685 of GMV each per quarter, ₹0 of payment revenue
Each merchant runs 487 transactions a quarter. The bars show what one merchant would be worth per year if an MDR existed.
PhonePe Pulse, 2026Q2. PhonePe's own transactions, not all of UPI. Accessed 2026-08-20.
The recommendation: conditional no on a payments-fee thesis, conditional yes on merchant financing. The payment is the acquisition channel; the loan is the P&L. Read the diligence memo and its ambiguity register →
E Survey analytics
Exhibit 14 · Episode-level NPS
One brand contains both the best and the worst episode in the market
Scored per customer episode rather than per brand. A blended brand NPS averages these opposites into a number that hides the problem.
SYNTHETIC panel of 2,000 respondents generated from a documented, seeded model (analysis/04_survey_nps.py). The method is the artefact; the figures illustrate it and are not market fact.
F Geographic gap
Exhibit 15 · One spends, one sends
Delhi runs 69% of its transactions through merchants; West Bengal runs 56%
Merchant share is measured from each state's own category split, not inferred from ticket size. Red is above the national 64%; bubble size is share of national transactions; states under 1% are omitted.
PhonePe Pulse, 2026Q2. PhonePe's own transactions, not all of UPI. Accessed 2026-08-20. Per-state category files, reconciled against the country file at a ratio of 1.000000. A composition measure, not per-capita: no population denominator is invented.
G Wealth and asset management
Exhibit 16 · The fund shelf
14,288 listed schemes are really 3,353 strategies
Strip the Direct/Regular and Growth/IDCW wrappers and roughly 77% of the product count disappears. Counts schemes, not rupees.
AMFI daily NAV file, 20-Aug-2026. Scheme counts, not AUM. AMFI's NAV file carries no assets under management.
H Analyst workbench
Interactive · Client-ready dashboard
Every state's payment mix, three linked ways, without leaving the page
The dashboard requirement, met in code: a tile cartogram, a sortable table and a detail panel, all linked: select in one and the others follow. Metric switch, live filter, no BI backend.
Loading the map…
44% 71% Merchant share of a state’s own transactions
Select a state for its full breakdown. Boundaries follow India's official depiction.
Select a state on the map or in the table to break out its transaction mix.
Merchant P2P Utility
- Merchant share of value
- Average ticket
- Merchant average ticket
- Share of national transactions
- Share of national value
| State / UT | Merchant share | Share of txns | Share of value | Avg ticket |
|---|---|---|---|---|
| Chandigarh | 70.96% | 0.07% | 0.06% | ₹1,004 |
| Dadra & Nagar Haveli & Daman & Diu | 69.29% | 0.09% | 0.06% | ₹804 |
| Puducherry | 69.05% | 0.05% | 0.05% | ₹1,157 |
| Delhi | 68.51% | 3.03% | 2.59% | ₹1,004 |
| Haryana | 67.94% | 2.92% | 2.78% | ₹1,117 |
| Goa | 67.90% | 0.14% | 0.15% | ₹1,251 |
| Karnataka | 67.53% | 11.62% | 11.63% | ₹1,178 |
| Maharashtra | 67.39% | 13.10% | 12.01% | ₹1,079 |
| Lakshadweep | 67.00% | 0.00% | 0.00% | ₹998 |
| Uttarakhand | 66.38% | 0.64% | 0.56% | ₹1,033 |
| Telangana | 66.03% | 10.03% | 11.27% | ₹1,322 |
| Gujarat | 65.39% | 2.99% | 2.85% | ₹1,121 |
| Kerala | 65.14% | 0.76% | 0.74% | ₹1,139 |
| Rajasthan | 64.20% | 6.60% | 7.01% | ₹1,249 |
| Himachal Pradesh | 64.10% | 0.19% | 0.18% | ₹1,096 |
| Madhya Pradesh | 63.78% | 5.91% | 5.65% | ₹1,125 |
| Tamil Nadu | 63.63% | 2.71% | 2.89% | ₹1,255 |
| Andaman & Nicobar Islands | 63.40% | 0.02% | 0.02% | ₹1,347 |
| Punjab | 62.67% | 0.73% | 0.81% | ₹1,309 |
| Jammu & Kashmir | 62.57% | 0.49% | 0.45% | ₹1,081 |
| Uttar Pradesh | 62.56% | 9.48% | 8.66% | ₹1,075 |
| Chhattisgarh | 62.29% | 1.67% | 1.49% | ₹1,050 |
| Odisha | 61.24% | 3.94% | 3.66% | ₹1,094 |
| Jharkhand | 61.16% | 2.11% | 2.00% | ₹1,115 |
| Andhra Pradesh | 60.96% | 8.40% | 10.16% | ₹1,424 |
| Arunachal Pradesh | 60.77% | 0.11% | 0.10% | ₹1,169 |
| Sikkim | 58.30% | 0.04% | 0.04% | ₹1,221 |
| Assam | 57.31% | 1.42% | 1.14% | ₹946 |
| Ladakh | 56.93% | 0.02% | 0.03% | ₹1,670 |
| Tripura | 56.68% | 0.06% | 0.06% | ₹1,170 |
| Bihar | 56.58% | 5.92% | 5.89% | ₹1,170 |
| West Bengal | 56.43% | 4.61% | 4.86% | ₹1,241 |
| Nagaland | 49.22% | 0.03% | 0.04% | ₹1,325 |
| Meghalaya | 48.37% | 0.06% | 0.05% | ₹1,086 |
| Mizoram | 48.20% | 0.01% | 0.01% | ₹1,313 |
| Manipur | 43.52% | 0.03% | 0.04% | ₹1,623 |
PhonePe Pulse, 2026Q2. PhonePe's own transactions, not all of UPI. Accessed 2026-08-20.
I Gap analyser
Traceability
Every line of the job description, mapped to the artefact that demonstrates it
Including the two it does not. A self-assessment that only says “full” is not an assessment.
10 demonstrated 2 partial 1 not covered of 13 requirements
| What the job description asks for | Coverage | Artefact |
|---|---|---|
| Drive open-ended research | Seven-module scan, seven live sources | |
| Create industry points of view | pov-upi-monetization.md | |
| Sector and industry scans | Banking, market structure, wealth | |
| Summarise key themes, trends and challenges | Every memo closes with a “so what” | |
| Survey analytics | Episode-level NPS Method is real; the panel is a seeded synthetic one, because episode benchmarks are proprietary. | |
| Private equity diligence support | diligence-merchant-payments.md | |
| Build FS data assets and IP | Reproducible pipeline, generated provenance | |
| Client-ready visualisation dashboards (e.g. Tableau) | Linked cartogram, table and detail panel Bespoke exhibits and an interactive workbench, all in code, but not in Tableau itself. | |
| Structured communication of insights | Answer-first: every title is the finding | |
| Quantify a live policy question | The 30% share cap, priced | |
| Deal with ambiguity; tackle diligence questions | Explicit ambiguity register | |
| Python / R / Alteryx knowledge | Python end to end, zero credentials | |
| Advanced Microsoft Excel and PowerPoint | Not demonstrated Scoped as web-only. The pipeline emits tidy CSV, so a model workbook and a deck are a short addition. |
Requirements transcribed from the Associate: Financial Services job description (Bain Capability Network, FS Centre of Expertise, Job ID 90399).