Industry landscapes
The companies, capital and talent shaping fintech in Mumbai. Find the leaders. Understand the segments. See where the activity is.
An industry ecosystem,
measured in context.
24 featured companies from the funding, hiring, revenue and team-size leaderboards.
Locked revenue figures are available in Radar; the eight company financial previews stay the same throughout this page. A dash means the figure is outside these featured lists. Revenue years vary by company; the figures are not a like-for-like revenue comparison. Compare annual accounts ↗
Recently founded means a recorded 2023–2026 founding year and no recorded parent, acquirer or public-company status. These companies are not labelled startups without that separate classification.
Explore classified startups in Radar ↗A few useful ratios bring the size of this ecosystem into perspective.
171 of 1,239 tracked companies have open roles.
308 of 1,239 tracked companies have a recorded round.
Share of disclosed capital received by the three largest recorded recipients.
Midpoint of 874 rounds with a disclosed amount.
Scale is concentrated. Opportunity is broader. The three largest funding recipients hold 17.2% of disclosed capital, while 75.1% of tracked companies have no recorded funding round.
Explore the segments →Recorded company formation and disclosed funding across the complete annual series shown.
Sum of recorded funding rounds · USD
| Year | Funding (USD) | Founded | Raising |
|---|---|---|---|
| 2016 | $206.98M | 79 | 47 |
| 2017 | $358.07M | 88 | 62 |
| 2018 | $537.26M | 74 | 68 |
| 2019 | $913.23M | 85 | 68 |
| 2020 | $425.33M | 94 | 74 |
| 2021 | $1.14B | 111 | 89 |
| 2022 | $974.51M | 70 | 105 |
| 2023 | $758.99M | 62 | 67 |
| 2024 | $1.31B | 75 | 72 |
| 2025 | $964.72M | 20 | 48 |
Share of all disclosed company funding.
968 recorded rounds since 2016
Recorded participation in fintech company rounds since 2016.
Backed by Mirova.
Backed by HDFC Bank.
Backed by HDFC Bank.
Backed by Cornerstone Ventures and Shepherd's Hill Group and others.
Backed by Innoven Capital and Alteria Capital.
Backed by Beenext and Ravindra Kastia and others.
Backed by Premji Invest and Lightspeed Venture Partners and others.
Backed by British International Investment and Finnfund and others.
Backed by Hitachi Payment Services.
Backed by Tiger Global Management and Epx Uptech and others.
Backed by Mubadala and Avendus.
Backed by Amansa Capital and Jungle Ventures and others.
Backed by Hornbill Capital and MUFG and others.
Backed by General Atlantic and Prudent Investment Managers and others.
Backed by Tiger Global Management and IFC and others.
Backed by Elevation Capital and IFC and others.
Backed by Prosus and Ontario Teachers' Pension Plan and others.
Backed by KKR.
Annual accounts for reporting companies linked to this landscape, on like-for-like currency and reporting bases.
Display conversions use the dated reference rates above. Where a verified rate is unavailable, figures retain their source currency. Each reporting cohort keeps its currency and accounting basis separate.
FY2025 · annual statements grouped by reported fiscal year; exact entity periods remain on preview rows · 441 reporting entities from 595 eligible matches.
Sum of reporting-entity revenue; not Mumbai market sales.
Combined result for the same cohort.
Combined net income ÷ combined revenue.
The middle covered reporting entity.
226 of 441 covered entities.
Share of covered revenue from the five largest entities.
Reported cohort totals by year; coverage is stated for every period.
Bar height shows revenue. Changes in coverage can affect totals.
FY2025 · 441 reporting entities
Up to eight fixed company previews show financial amounts. Search and sort the wider company list, then continue in Radar.
| Company / reporting entity | Revenue | Net profit / loss | Net margin | Revenue growth | Total assets |
|---|---|---|---|---|---|
| Angel One ↗L67120MH1996PLC101709 | ₹5,172.5 crore | ₹1,215.9 crore | +23.5% | — | ₹16,823.0 crore |
| Zaggle ↗L65999TG2011PLC074795 | ₹1,302.6 crore | ₹87.5 crore | +6.7% | — | ₹1,308.3 crore |
| Aurionpro ↗L99999MH1997PLC111637 | ₹798.0 crore | ₹85.0 crore | +10.7% | — | ₹1,322.3 crore |
| Upstox ↗U74900DL2009PTC189166 | ₹514.9 crore | ₹157.1 crore | +30.5% | — | ₹1,400.7 crore |
| Mintifi ↗U74999MH2017PTC289428 | ₹85.1 crore | ₹30.3 crore | +35.6% | — | ₹1,998.8 crore |
| FlexiLoans ↗U74120MH2016PTC272771 | ₹0.0 crore | ₹0.1 crore | — | — | ₹0.0 crore |
| 24Carat Capital Markets ↗U67100MH2021PTC366323 | Financial figure available in Radar | Financial figure available in Radar | Financial figure available in Radar | Financial figure available in Radar | Financial figure available in Radar |
| DreamPay ↗U72900MH2007PTC171875 | Financial figure available in Radar | Financial figure available in Radar | Financial figure available in Radar | Financial figure available in Radar | Financial figure available in Radar |
Explore full company accounts and filings.
Choose “View accounts” to inspect an available company preview.
Each pair uses the same year, currency and reporting basis. Cohort overlap is disclosed.
| Industry | Covered / eligible | Revenue total | Median revenue | Net profit / loss | Aggregate margin | Profitable share | Overlap |
|---|
Available-account cohorts are not estimates of whole industries. Overlapping entities can occur in more than one cohort; do not add cohort totals.
Filed annual accounts for exact designated national identifiers. Every aggregate and peer pair uses one fiscal year, source currency and reporting basis; periods, coverage and overlap are explicit; 2026 partials are excluded.
The same up to eight reporting entities remain open across years, filters and sorts. Other company figures are available in Radar.
Source currencies and accounting bases stay separate. Missing accounts are excluded rather than treated as zero. Exact reporting periods appear on company previews. Annual totals can change with coverage and do not measure growth of a fixed company cohort.
How the Mumbai companies on this page show up online: the sites people visit, the apps they install, and how often those apps ship.
46 of the 1,201 companies on this page carry a measured traffic record (3.8%); these are the largest of those, by monthly visits. The median among them is 289,427 visits.
| Company | Monthly visits | Authority | Mobile |
|---|---|---|---|
| BillDeskbilldesk.com | 16,110,126 | 68 | 62.6% |
| Angel Oneangelone.in | 12,783,211 | 77 | 47.2% |
| Upstoxupstox.com | 8,457,779 | 65 | 80.2% |
| CIBILcibil.com | 8,085,801 | 68 | 93.5% |
| Snapmintsnapmint.com | 2,809,140 | 43 | 90.5% |
| Truelayer Paymentstruelayerpayments.com | 2,562,195 | 5 | 96.9% |
| UPI Chalegaupichalega.com | 1,799,724 | 22 | 97.6% |
| HDFC SKYhdfcsky.com | 932,373 | 51 | 91.7% |
| InstaMoneyinstamoney.app | 868,644 | 37 | 99.3% |
| Axis Directaxisdirect.in | 853,572 | 57 | 86.7% |
Visits and authority are third-party web estimates, not company-reported figures.
294 of these companies (24.5%) publish at least one Android app — 427 apps in all, carrying 612.3M installs between them.
| App | Installs | Rating | Store category |
|---|---|---|---|
| Angel One: Stocks, Mutual FundAngel One | 111.3M | 4.5 | Finance |
| Dhani: UPI, Cards & BillsDhani | 93.4M | 3.7 | Finance |
| Kissht: Instant Personal LoansKissht | 54.6M | 4.4 | Finance |
| RING by Kissht: Personal LoanRing | 46.5M | 4.1 | Finance |
| Upstox Stocks IPO Mutual FundsUpstox | 46.4M | 4.4 | Finance |
| InstaMoney Personal Loan AppInstaMoney | 28.3M | 4.3 | Finance |
| CASHe: Quick Personal Loan Appcashe.co.in | 22M | 2.8 | Finance |
| mStock: Demat & Stock TradingmStock | 18.7M | 3.5 | Finance |
| LazyPay: Loan App & Pay LaterLazypay | 17.1M | 4.3 | Finance |
| Dhan: Share Market Trading AppRaise | 15.2M | 4 | Finance |
Installs are lifetime totals to date at the June 2026 store reading — a measure of reach, not of people using an app today.
The busiest app inside each of this page’s own segments, with the quarterly release trend behind it (2024Q1–2026Q2).
| Segment | Apps | Installs | Leading app | Release trend |
|---|---|---|---|---|
| Alternative Lending | 96 | 311.6M | Dhani: UPI, Cards & Bills 93.4M | |
| Investment Tech | 168 | 241.3M | Angel One: Stocks, Mutual Fund 111.3M | |
| Payments | 85 | 47.8M | Jupiter: Cards, UPI, Banking 14.9M | |
| Banking Tech | 62 | 39.6M | PayNearby - Aadhaar ATM, DMT 14.4M | |
| Consumer And Sme Loans | 5 | 6.6M | Upwards : Quick Personal Loan 6.4M | |
| Internet First Insurance Platforms | 45 | 5.5M | OneAssist: Protection+Warranty 2.8M | |
| Insurance It | 14 | 5.3M | TurtlemintPro - Sell Insurance 5.1M | |
| Consumer Electronics E-Commerce | 3 | 2.8M | UNITE - Partner App 6.1K |
A company can carry several segment tags, so these rows overlap and should not be added together. Trend lines are zero-based and share one quarter grid, so a flat line is a quiet segment, not a missing one.
New apps published, beside apps whose most recent update landed in that quarter — the second bar is how much of the shelf is still being maintained.
Darker bars are new releases, lighter bars apps updated. 205 of 427 apps carry a release date. The series ends at 2026Q1, the last quarter that closed before the June 2026 reading.
Explore the segments behind the headline numbers.
Rank segments by scale, hiring or disclosed funding.
Companies can sit in several segments. Counts and funding overlap.
The largest measured segment in this report snapshot.
97 companies hiring · $5.34B disclosed funding
Explore in RadarCommon revenue models; a company can use more than one.
Recorded corporate activity linked to companies in this landscape.
The initial public offering (IPO) of OnEMI Technology Solutions Limited (Kissht) was subscribed 9.5 times on the final day (Day 3) of bidding.
Credilio Raises ₹100 Crore to Scale
Mumbai-based fintech Raise Financial Services has acquired algorithmic investing and trading platform, Stratzy, in a cash & stock deal.
Konfir has been acquired by Experian and will join its verifications business, expanding data coverage for UK employment and tenancy checks.
The IPO fresh equity issuance of ₹620 crore and OFS of ₹180 crore by existing investors.
Seasoned entrepreneur Devesh Sachdev has invested $5 million in GLAAS, an embedded credit platform for MSMEs, and joined the company as co-founder and Managing Director.
Zaggle Prepaid Ocean Services Ltd is not moving ahead with its plan to acquire a majority stake in Hyderabad-based ...
Vodacom has invested $28m to upgrade technology for its M-Pesa platform in Tanzania.
Previously, Dhan acquired Stratzy in November 2025 for around $4-4.5 million, strengthening its algorithmic investing capabilities.
"Finfinity raised $2.4 million,"
Top 10 categories among 1,277 recorded events in the 24-month window.
20 companies with recorded IPO activity
IPO · BSE, NSE11 reports
OFS3 reports
IPO5 reports
IPO · KOSPI2 reports
IPO · BSE, NSE12 reports
IPO · main board3 reports
IPO · NSE, BSE14 reports
IPO1 reports
35 tracked people moves
Appointment general counsel and corporate secretary
Appointment senior sales executive (external wholesaler)
Appointment internal wholesaler
Appointment Co-founder and Managing Director
Resignation Previously Chief Financial Officer
Appointment Interim Chief Financial Officer
Appointment Executive Director and Chief Operations Officer
Appointment Group Chief Risk Officer
Products, platforms and features in the recorded window
AI-powered trade finance platform
Verification
Virtual Assistant
Online Marketplace for Financial Services
Early Access Programme
Cash Management Platform
Biometric authentication solution
Advanced Analytics Suite
74 recorded customer wins
Customer: Generali Central Insurance Companyspend management
Customer: Fanuc India Private LimitedFinancial Services
Customer: Bajaj General Insurance LimitedInsurance
Customer: data centre infrastructure
Customer: diamond trust bankBanking
Customer: bank of the philippine islandsBanking
4 companies with reported reductions
500 roles
44 roles
3.0% rolescost reduction
15.0% roleshiring mistakes and AI automation
70 recorded events
approved the allotmentStakeholders’ Relationship Committee of the Board
Reserve Bank of India
Authorized for PA‑O categoryReserve Bank of India
regulatory authorisation grantedReserve Bank of India (RBI)
5 tracked suits
failure to disclose material developments related to proposed scheme of arrangementRegulatory · Settled
Corporate insolvency due to unpaid duesRegulatory · Ongoing
Reported company results in the recorded window.
Median across 310 reported growth observations; companies may contribute multiple periods.
Company-linked deal reports; status is preserved as recorded.
| Acquirer → target | Status | Date | Value / context |
|---|---|---|---|
| dhan→infinyte club | Rumored | 2026-04-21 | $10.0M |
| Experian→konfir | Announced | 2026-04-21 | Not stated in snapshot |
| Raise→stratzy | Announced | 2026-04-21 | Not stated in snapshot |
| Zaggle→Na | Terminated | 2026-04-06 | Not stated in snapshot |
| Zaggle→effiasoft | Terminated | 2026-04-03 | Not stated in snapshot |
| dhan→Filter Coffee | Completed | 2026-04-02 | Not stated in snapshot |
A discussion or rumour is not a completed transaction. An unstated value is not zero.
1,088 postings in the preceding 12 months. The full 1,345-posting snapshot covers 198 employers.
6 tracked postings mention remote work.
760 postings specify a level.
Top skills across 1,345 tracked postings in the available jobs snapshot.
Median across 150 postings with pay data, expressed in USD.
| Company | Open roles |
|---|---|
| Idfy ↗ | 7 |
| Snapmint ↗ | 6 |
| Weaver ↗ | 6 |
| Kissht ↗ | 6 |
| CredAble ↗ | 6 |
| Angel One ↗ | 5 |
| EnKash ↗ | 5 |
| Mintifi ↗ | 5 |
| Company | Employees |
|---|---|
| Angel One ↗ | 2,965 |
| Turtlemint ↗ | 2,274 |
| ISG ↗ | 1,796 |
| Kiya.ai ↗ | 1,539 |
| APAC Group ↗ | 1,351 |
| Mintifi ↗ | 1,310 |
| Mswipe ↗ | 1,151 |
| AGS Transact Technologies ↗ | 1,106 |
1,218 founders and chief executives across 803 companies.
Sri Venkateswara College BCom (1996)
Ex-Deutsche Bank · Bhopal University BE 1996, IIMAhmedabad MBA 1999
Ex-Fedbank Financial Service, Fedfina, Citi · Andhra University BCS 1992, IIM Ahmedabad 1994
Ex-Gravitas · Indian Institute of Technology, Bombay BTech 2012
Prince Pipes and Fittings · Ex-K12 Techno Services, Citi, Ecu Line · Narsee Monjee College of Commerce and Economics BCom 2004
Ex-NeoGrowth Credit, Fullerton India Credit, Standard Chartered Bank, Tata Finance. Gauhati University MBA 1993…
Ex-Kiva, C Quest Capital, International Resources Group. University of Washington BA
Ex-Quikr, Nokia, Yahoo, Elance, Deloitte. IIT Bombay BE 1997, The University of Chicago Booth School of Business MBA 2003
Ex-Co-Founder RK Trading Partnership. UC Irvine BS 2004
State Bank of India
Ex-Google, Raymond, Myntra · AMU BE 1996, IIT Kanpur ME 1998, Purdue University MS 1999.University of California, Berkeley…
Ex-Avanse Financial Services, DHFL, Wadhawan Lifestyle Retail, Piramyd Retail, Trent.
236 profiles with education records.
39 profiles with prior-work records.
Profiles cover recorded founders and leaders; contact details remain in Radar.
39,656 articles in the measured 12-month window.
Fintech coverage tagged Mumbai · articles per complete quarter
| Quarter | Articles |
|---|---|
| 2021Q2 | 4,812 |
| 2021Q3 | 7,198 |
| 2021Q4 | 4,947 |
| 2022Q1 | 5,990 |
| 2022Q2 | 7,382 |
| 2022Q3 | 9,766 |
| 2022Q4 | 7,625 |
| 2023Q1 | 7,685 |
| 2023Q2 | 7,103 |
| 2023Q3 | 8,286 |
| 2023Q4 | 7,465 |
| 2024Q1 | 6,834 |
| 2024Q2 | 7,706 |
| 2024Q3 | 8,908 |
| 2024Q4 | 9,387 |
| 2025Q1 | 9,782 |
| 2025Q2 | 7,304 |
| 2025Q3 | 13,762 |
| 2025Q4 | 9,244 |
| 2026Q1 | 8,810 |
Article volume measures coverage, not market sales.
2,320 recorded company events across 134 companies; percentages use that event total.
Fintech coverage tagged Mumbai · ranked by full-period article count.
Recent and prior counts use the source comparison windows.
India comparison coverage
| Keyword | Recent | Prior | Change |
|---|---|---|---|
| commodity futures | 2,592 | 1,652 | 57% |
| crude oil prices | 1,620 | 879 | 84% |
| securities fraud | 987 | 608 | 62% |
| low-income banking | 942 | 394 | 139% |
| oil price volatility | 883 | 441 | 100% |
| performance sedan engines | 802 | 264 | 204% |
| commodity trading | 584 | 199 | 193% |
| sedan mpg comparison | 556 | 264 | 111% |
| compact sedan fuel efficiency | 555 | 264 | 110% |
| sedan drivetrain comparisons | 555 | 264 | 110% |
| master franchising | 17 | 4,944 | -100% |
| conversion franchising | 17 | 4,638 | -100% |
| brand franchising | 17 | 4,637 | -100% |
| franchisee support | 14 | 4,629 | -100% |
| single-unit franchise | 11 | 4,607 | -100% |
India comparison coverage
stock performance, stock indices, forex liquidity
61.8% critical · 35.9% positivepre-ipo valuation, ipo prospectus, ipo pricing
61.2% critical · 47.9% positivegdp growth forex, revenue beats, stock performance
56.2% critical · 46.4% positiveFintech coverage tagged Mumbai. Topic labels describe recorded classifications and can include broad context.
1,335 papers in the recorded india scope.
Tone counts: 1,275 positive · 1 neutral · 59 negative.
Landmark: Financial technology: a review of extant literature
Landmark: Thematic Analysis of Financial Technology (Fintech) Influence on the Banking Industry
Landmark: The Impact of Fintech and Digital Financial Services on Financial Inclusion in India
Common problems researchers identify · 0119.9% of this theme group
Mobile payment (87) · Payment (88) · Mobile banking (23) · Marketing (18)
Empirical study on consumers’ reluctance to mobile payments in a developing economy
An Empirical Study on the Factors Influencing Usage of Mobile Payments with Reference to Bangalore City
| Year | Share index |
|---|---|
| 2022 | 629.6 |
| 2023 | 605.9 |
| 2024 | 764.9 |
| 2025 | 875.7 |
Common problems researchers identify · 0218.2% of this theme group
FinTech (71) · Financial services (80) · Financial innovation (12) · Financial sector (11)
Fintech and the Future of Financial Services: A Study of the Impact of Fintech on Traditional Financial Institutions
Fintech Disruption of Traditional Banking Services: A Comprehensive Analysis of Digital Transformation in the Financial Sector
| Year | Share index |
|---|---|
| 2022 | 525.1 |
| 2023 | 571.5 |
| 2024 | 621.1 |
| 2025 | 942.8 |
Common problems researchers identify · 0317.7% of this theme group
Credit card fraud (43) · Credit card (44) · Financial fraud (24) · Computer security (30)
Credit Card Fraud Detection Using Advanced Machine Learning Techniques
Role of Machine Learning in Credit Card Fraud Detection
| Year | Share index |
|---|---|
| 2022 | 47.4 |
| 2023 | 47.0 |
| 2024 | 47.6 |
| 2025 | 63.6 |
Common problems researchers identify · 0413.3% of this theme group
Financial inclusion (71) · Financial services (53) · Financial literacy (22) · Inclusion (13)
Financial Inclusion: The Role of Fintech and Digital Financial Services in India
Digital Financial Inclusion Through FinTech
| Year | Share index |
|---|---|
| 2022 | 533.2 |
| 2023 | 593.9 |
| 2024 | 622.8 |
| 2025 | 942.7 |
Common problems researchers identify · 0512.2% of this theme group
Alternative trading system (9) · Stock exchange (7) · Insider trading (6) · Algorithmic trading (10)
Development of Financial Technology through E-Payment System in India
Prospects of Digital Currency in India- A Way Forward
| Year | Share index |
|---|---|
| 2022 | 430.9 |
| 2023 | 395.3 |
| 2024 | 430.6 |
| 2025 | 186.7 |
Common problems researchers identify · 0611.9% of this theme group
Computer security (32) · Payment (49) · Authentication (7) · Payment system (13)
Securing Transactions and Payment Systems for M-Commerce
Mobile Payments: Assessing the Threats, Challenges and Security Measures
| Year | Share index |
|---|---|
| 2022 | 1349.6 |
| 2023 | 1352.7 |
| 2024 | 1488.4 |
| 2025 | 1276.9 |
Common problems researchers identify · 076.6% of this theme group
Portfolio (13) · Financial market (9) · Algorithmic trading (9) · Portfolio optimization (5)
Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions
Literature Review on Algorithmic Trading in Financial Markets
| Year | Share index |
|---|---|
| 2022 | 478.8 |
| 2023 | 477.5 |
| 2024 | 510.3 |
| 2025 | 629.7 |
Cautions · 0134.3% of this theme group
Payment (44) · Mobile payment (25) · Digital currency (14) · Currency (12)
Payments transition in India – consumer preferences and policy shifts
Central Bank Digital Currencies and payments: A review of domestic and international implications
| Year | Share index |
|---|---|
| 2022 | 621.8 |
| 2023 | 592.6 |
| 2024 | 747.1 |
| 2025 | 852.6 |
Cautions · 0232.9% of this theme group
Financial services (50) · FinTech (38) · Financial inclusion (32) · Financial literacy (10)
Fintech and financial inclusion: Transforming underserved access to financial services
Fintech Innovations and Their Impact on Financial Inclusion in Developing Economies
| Year | Share index |
|---|---|
| 2022 | 533.2 |
| 2023 | 586.1 |
| 2024 | 645.7 |
| 2025 | 1018.9 |
Cautions · 0317.6% of this theme group
Algorithmic trading (15) · Portfolio (14) · Financial economics (8) · Trading strategy (7)
A Study on Algorithmic Trading Strategies and Their Impact on Financial Markets: Evidence from the Indian Securities Market
Understanding the Impact of Algorithmic Trading on Indian Financial Markets: A Quantitative Analysis
| Year | Share index |
|---|---|
| 2022 | 682.9 |
| 2023 | 677.2 |
| 2024 | 596.4 |
| 2025 | 587.5 |
Cautions · 0415.2% of this theme group
Computer security (7) · Credit card fraud (4) · Credit card (4) · Analytics (4)
Adoption of artificial intelligence-based credit risk assessment and fraud detection in the banking services: a hybrid approach (SEM-ANN)
Risk Compliance in Indian Banking: Leveraging Artificial Intelligence for Fraud Detection
| Year | Share index |
|---|---|
| 2022 | 858.0 |
| 2023 | 882.7 |
| 2024 | 837.4 |
| 2025 | 537.3 |
Opportunities · 0124.3% of this theme group
Financial fraud (68) · Accounting (36) · Database transaction (106) · Computer security (106)
Fraud Detection in Banking Transactions Using Machine Learning
Machine Learning-Based Real-Time Fraud Detection in Financial Transactions
| Year | Share index |
|---|---|
| 2022 | 2038.3 |
| 2023 | 2002.1 |
| 2024 | 1656.9 |
| 2025 | 1180.3 |
Opportunities · 0218.4% of this theme group
Portfolio (270) · Portfolio optimization (178) · Trading strategy (61) · Algorithmic trading (74)
Prediction and Portfolio Optimization in Quantitative Trading Using Machine Learning Techniques
Deep Learning for Stock Price Prediction and Portfolio Optimization
| Year | Share index |
|---|---|
| 2022 | 335.5 |
| 2023 | 324.2 |
| 2024 | 235.4 |
| 2025 | 360.9 |
Opportunities · 0315.8% of this theme group
Payment (266) · Mobile payment (161) · Payment system (58) · Marketing (28)
Unified Payment Interface—An Advancement in Payment Systems
Mobile payment service adoption: understanding customers for an application of emerging financial technology
| Year | Share index |
|---|---|
| 2022 | 595.2 |
| 2023 | 565.3 |
| 2024 | 723.5 |
| 2025 | 818.2 |
Opportunities · 0415.6% of this theme group
Credit card fraud (302) · Credit card (311) · Random forest (47) · Computer security (69)
Credit Card Fraud Detection using Machine Learning Algorithms
Credit Card Fraud Detection using Machine Learning Methods
| Year | Share index |
|---|---|
| 2022 | 61.3 |
| 2023 | 62.1 |
| 2024 | 53.9 |
| 2025 | 74.0 |
Opportunities · 0514.4% of this theme group
Financial inclusion (145) · Financial services (174) · FinTech (125) · Financial literacy (54)
The Impact of Fintech and Digital Financial Services on Financial Inclusion in India
A Perspective on the Application of Fintech as a Gateway for Financial Literacy
| Year | Share index |
|---|---|
| 2022 | 533.2 |
| 2023 | 586.1 |
| 2024 | 645.7 |
| 2025 | 1018.9 |
Opportunities · 066.5% of this theme group
Blockchain (91) · Computer security (51) · Database transaction (45) · Transparency (26)
Online Payment Using Blockchain
Trustworthy E-KYC Systems Using Blockchain
| Year | Share index |
|---|---|
| 2022 | 1069.8 |
| 2023 | 1090.7 |
| 2024 | 1045.0 |
| 2025 | 1083.9 |
Opportunities · 075.0% of this theme group
Credit risk (24) · Loan (16) · Interpretability (12) · Feature selection (12)
Credit scoring using ensemble of various classifiers on reduced feature set
Feature Selection using Optimized Multiple Rank Score Model for Credit Scoring
| Year | Share index |
|---|---|
| 2022 | 256.3 |
| 2023 | 260.1 |
| 2024 | 185.0 |
| 2025 | 281.7 |
Orientation shares compared with 25,000 papers in the reference sample.
| Research orientation | This field | Reference sample |
|---|---|---|
| Promising | 30.7% | 37.2% |
| Problem-identifying | 24.0% | 9.8% |
| Descriptive | 23.5% | 17.3% |
| Cautionary | 11.8% | 4.3% |
| Breakthrough | 7.0% | 26.6% |
| Comparative | 1.7% | 3.8% |
| Critical | 1.2% | 1.0% |
Counts and shares refer to the stated research pool. A low count describes how much of that research is recorded here, not the absence of a real-world concern.
| Concern / example paper | Papers | Share | Raised as a problem | Worldwide share |
|---|---|---|---|---|
| Privacy & surveillanceA comparison of mobile money-transfer UIs for non-literate and semi-literate users | 270 | 6.55% | 93 (34.4%) | 4.6% |
| Safety & misuseTHE WEAPONISATION OF ARTIFICIAL INTELLIGENCE IN DAILY LIFE FINTECH CRIMES: AN EXHAUSTIVE ANALYSIS OF THE INDIAN LANDSCAP | 8 | 0.19% | 3 (37.5%) | 0.08% |
| Labour & data workMobile Money Taxation and Informal Workers: Evidence from Ghana’s E-Levy | 7 | 0.17% | 3 (42.9%) | 0.1% |
| Bias & fairnessResponsible AI in Fintech: Evaluating Fairness and Bias in Rural Credit Scoring | 5 | 0.12% | 1 (20.0%) | 0.14% |
| Energy & datacenter footprintInnovative Machine Learning Applications for green Finance | 4 | 0.1% | 2 (50.0%) | 0.05% |
| Concentration of compute powerModerating effect of fintech adoption on market power and bank stability Nexus: Indian evidence | 2 | 0.05% | 0 (0.0%) | 0.17% |
| Water use | 0 | 0.0% | 0 (%) | 0.0% |
| Carbon & emissions of compute | 0 | 0.0% | 0 (%) | 0.0% |
| Hardware, e-waste & supply chain | 0 | 0.0% | 0 (%) | 0.01% |
Institution and researcher rankings use citations to their covered work. Research scope: India. This may be broader than the company geography.
Compare demand signals in Mumbai’s newsflow with the fintech categories mapped to each signal.
Signal percentile − supply percentile = gap in percentile points. Positive gaps highlight questions to investigate. A high signal can reflect spending pressure or access friction, as well as potential demand.
The comparison is relative to the signal families on this page. A supply percentile of zero means the lowest relative reading, not zero companies. It is a prioritisation clue, not measured market size or unmet demand.
Signal and mapped-supply percentiles, their gap, and change in the signal’s article share.
Swipe horizontally to compare all columns →
| Signal family | Signal percentile | Supply percentile | Relative gap | Gap (points) | Signal share vs prior year |
|---|---|---|---|---|---|
| Interest rates & policy ↗Macro Pressure | 75.0 | 50.0 | +25.0 | +68.4% | |
| Fraud, scams & consumer trust ↗Trust Friction | 33.3 | 10.0 | +23.3 | — | |
| Financial inclusion ↗Demand Driver | 29.2 | 10.0 | +19.2 | +39.7% | |
| Market volatility ↗Macro Pressure | 91.7 | 100.0 | -8.3 | +92.8% | |
| Lending & credit access ↗Demand Driver | 33.3 | 50.0 | -16.7 | -4.0% | |
| Layoffs & income shocks ↗Spending Pressure | 62.5 | 80.0 | -17.5 | +81.8% | |
| Crypto & digital assets ↗Adoption Shift | 25.0 | — | No matching category | — | — |
Showing all 7 signals. Select a family for its history and mapped categories.
All 12 city readings for these demand families in the comparison geography. Mumbai is highlighted.
Each city’s reading is a share of its own coverage. Rows cover all of India for this page's signal families; Mumbai is marked.
Interest rates & policy · Market volatility · Lending & credit access
Market volatility · Crypto & digital assets · Interest rates & policy
Layoffs & income shocks · Lending & credit access · Fraud, scams & consumer trust
Layoffs & income shocks · Lending & credit access · Financial inclusion
Layoffs & income shocks · Lending & credit access · Crypto & digital assets
Layoffs & income shocks · Fraud, scams & consumer trust · Interest rates & policy
Lending & credit access · Financial inclusion · Fraud, scams & consumer trust
Crypto & digital assets · Market volatility · Fraud, scams & consumer trust
Lending & credit access · Interest rates & policy · Financial inclusion
Fraud, scams & consumer trust · Lending & credit access · Financial inclusion
Fraud, scams & consumer trust · Lending & credit access · Financial inclusion
Layoffs & income shocks · Market volatility · Lending & credit access
Rate moves can reprice every loan book — lending and deposit products feel it first.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 120 | 30.48 |
| 2024Q4 | 181 | 41.0 |
| 2025Q1 | 120 | 26.78 |
| 2025Q2 | 146 | 48.15 |
| 2025Q3 | 311 | 90.05 |
| 2025Q4 | 165 | 52.15 |
| 2026Q1 | 118 | 35.73 |
Trust friction can reward whoever fixes service, complaints and fraud handling.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 6 | 1.52 |
| 2024Q4 | 13 | 2.94 |
| 2025Q1 | 10 | 2.23 |
| 2025Q2 | 14 | 4.62 |
| 2025Q3 | 22 | 6.37 |
| 2025Q4 | 23 | 7.27 |
| 2026Q1 | 30 | 9.08 |
Inclusion pushes can pull low-cost payment and credit rails toward new users.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 22 | 5.59 |
| 2024Q4 | 36 | 8.15 |
| 2025Q1 | 36 | 8.03 |
| 2025Q2 | 29 | 9.56 |
| 2025Q3 | 58 | 16.79 |
| 2025Q4 | 14 | 4.42 |
| 2026Q1 | 36 | 10.9 |
Volatility can drive trading, hedging and advice-seeking in the same week it spikes.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 77 | 19.56 |
| 2024Q4 | 92 | 20.84 |
| 2025Q1 | 103 | 22.99 |
| 2025Q2 | 134 | 44.19 |
| 2025Q3 | 146 | 42.27 |
| 2025Q4 | 147 | 46.46 |
| 2026Q1 | 160 | 48.45 |
Credit demand can pull origination, underwriting and collections capacity with it.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 40 | 10.16 |
| 2024Q4 | 66 | 14.95 |
| 2025Q1 | 118 | 26.33 |
| 2025Q2 | 54 | 17.81 |
| 2025Q3 | 97 | 28.09 |
| 2025Q4 | 22 | 6.95 |
| 2026Q1 | 42 | 12.72 |
Layoff cycles can pull discretionary spend back toward value offerings.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 31 | 7.87 |
| 2024Q4 | 24 | 5.44 |
| 2025Q1 | 30 | 6.7 |
| 2025Q2 | 58 | 19.13 |
| 2025Q3 | 52 | 15.06 |
| 2025Q4 | 48 | 15.17 |
| 2026Q1 | 20 | 6.06 |
Crypto cycles can pull exchange, wallet and compliance demand in waves.
This signal has no matching category in the page’s fintech market map, so no supply percentile or gap is assigned.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 6 | 1.52 |
| 2024Q4 | 9 | 2.04 |
| 2025Q1 | 8 | 1.79 |
| 2025Q2 | 5 | 1.65 |
| 2025Q3 | 24 | 6.95 |
| 2025Q4 | 15 | 4.74 |
| 2026Q1 | 19 | 5.75 |
Mumbai fintech coverage
International Journal of Bank Marketing
330 citations in the snapshot
Social Science & Medicine
282 citations in the snapshot
PLoS ONE
244 citations in the snapshot
The Journal of Finance and Data Science
241 citations in the snapshot
Mumbai coverage of this page's demand families
| Keyword | Recent articles | Prior articles | Share change |
|---|---|---|---|
| em corporate bonds | 87 | 26 | 322.8% |
| muni bond yields | 80 | 25 | 304.4% |
| trade finance | 99 | 45 | 178.0% |
| interest-sensitive sectors | 28 | 13 | 172.2% |
| yuan exchange | 21 | 10 | 165.4% |
| crude oil prices | 41 | 20 | 159.0% |
Share changes describe coverage in the stated comparison periods, not search demand or market size.
Clear definitions for making better comparisons.
It measures the tracked company ecosystem, recorded funding, hiring and other available evidence. It is not a market-size estimate.
No. A company can belong to several segments, so segment counts and funding can overlap.
A dash or unavailable panel means the current reviewed source snapshot does not support that figure.
Company ecosystem snapshot: 4 August 2026. Funding is recorded in USD; filed accounts retain their stated currency and reporting basis. Each section identifies its own coverage. The news and research behind these sections is explorable in Prism.
Canonical landscape ↗