India Digital Lending Market Size & Forecast to 2027 – Sample Report | Ken Research

This sample report outlines the India Digital Lending Market Size and revenue forecast through 2027, emphasizing growth trajectories in online personal and business loans.

Link: https://www.kenresearch.com/industry-reports/india-digital-lending-market?utm_source=SEO&utm_medium=Referral&utm_campaign=Vijay

1. India Digital Lending Market
Outlook To Fy’2027
Driven by the Growing Internet
Population, Increasing Demand for App-
Based Instant Loans, and Variety of
Consumer Loans being o�ered in the
Market
September 2025
Author: Jalaj Bhayana   |   Vertical: Banking Financial Services and Insurance   |   Region:
Asia
Shaped by Rising Smartphone & Internet Penetration, Regulatory Digitization Initiatives, Innovative Credit-Scoring
Models (AI/ML).

2. Table of Contents
1. Executive Summary
2. Market Overview
3. Market Segmentation of India Digital Lending, 2025
4. Industry Analysis
1
1.1 Executive Summary of India Digital Lending Market
2
2.1 Market Volume
2.2 Revenue
2.3 Historical Data (2017–2022)
2.4 Forecast and 5-Year CAGR (2022–2027)
2.5 Other Key Metrics (e.g., average ticket size, disbursement growth)
3
3.1 Segmentation by Loan Type: (Personal Loans, Business/SME Loans, Education Loans, Gold Loans)
3.2 Segmentation by Lending Model: (NBFC Digital Lending Platforms, Bank-owned Digital Lending Platforms, P2P
Lending Platforms, Marketplace Lending Platforms)
3.3 Segmentation by End User: (Individuals, SMEs, Corporates)
3.4 Segmentation by Deployment Type: (Cloud, On-Premise)
3.5 Segmentation by Component: (Solution, Services)
4
4.1 Growth Value Drivers
4.1.1 Rising Smartphone & Internet Penetration
4.1.2 Regulatory Digitization Initiatives
4.1.3 Innovative Credit-Scoring Models (AI/ML)
4.1.4 Increasing Financial Inclusion
4.2 Industry Challenges
4.2.1 Credit Risk & Delinquency
4.2.2 Data Privacy & Cybersecurity Concerns
4.2.3 Regulatory Compliance Complexity
4.2.4 Infrastructure Gaps in Rural Areas
4.3 Opportunities
4.3.1 Untapped Rural & Semi-Urban Markets
4.3.2 Partnerships with Traditional Banks
4.3.3 Expansion of Embedded Finance O�erings
4.3.4 Green & Socially Responsible Lending
4.4 Emerging Trends
4.4.1 Buy-Now-Pay-Later Acceleration
4.4.2 Blockchain for Secure Lending Processes

3. 5. Value Chain and Industry Taxonomy
6. Regulatory Framework
7. Competitive Landscape of the India Digital Lending
8. Future Market Segmentation of India Digital Lending, 2030
9. Analyst Recommendations
10. Research Methodology
4.4.3 Voice & Chatbot-Driven Loan Origination
4.4.4 Platform-as-a-Service (LaaS) Models
5
5.1 Value Chain Mapping (Origination to Collections)
5.2 Key Participants and Their Roles
5.2.1 Technology Providers
5.2.2 Loan Origination Platforms
5.2.3 Credit Bureaus & Data Aggregators
5.2.4 Payment & Disbursement Gateways
5.2.5 Collections & Servicing Agencies
5.3 Industry Taxonomy (Banks, NBFCs, P2P, Fintechs, Enablers)
6
6.1 RBI Guidelines on Digital Lending
6.2 P2P Lending Regulations
6.3 KYC/AML and Data Protection Norms
6.4 Consumer Protection and Fair Practices Code
6.5 Upcoming Policy Developments
7
7.1 Major Companies Covered: (Paytm, Bajaj Finserv, Indiabulls Dhani, Home Credit India, Lendingkart, and Others)
7.2 Operational Parameters: (Company, Headquarter, Loan portfolio size (USD Bn), Annual disbursements volume (USD
Bn), Total funding raised (USD Bn), Active customer base (Mn), and Others)
7.3 Financial Parameters: Market Shares, Revenues, and Pro�t Margins
8
8.1 Segmentation by Loan Type: (Personal Loans, Business/SME Loans, Education Loans, Gold Loans)
8.2 Segmentation by Lending Model: (NBFC Digital Lending Platforms, Bank-owned Digital Lending Platforms, P2P
Lending Platforms, Marketplace Lending Platforms)
8.3 Segmentation by End User: (Individuals, SMEs, Corporates)
8.4 Segmentation by Deployment Type: (Cloud, On-Premise)
8.5 Segmentation by Component: (Solution, Services)
9
9.1 TAM/SAM/SOM Analysis
9.2 Strategic Imperatives for Stakeholders
9.3 Investment & Partnership Priorities
9.4 Risk Mitigation & Compliance Roadmap
10

4. 11. Disclaimer
12. Contact Us
10.1 Data Sources (Primary & Secondary)
10.2 Primary Research Approach (Expert Interviews, Surveys)
10.3 Secondary Research (Publications, Company Filings)
10.4 Forecasting Models & Assumptions
10.5 Limitations & Validation Techniques
11
12

5. 01
Executive Summary

6. Executive Summary
Exhibit 1.1
Taxonomy & Market Size of India Digital Lending Market
India Digital Lending Market
(USD XX Bn)
By Loan Type By Lending Model
Personal Loans
XX%
Personal loans
dominate with
unsecured and
secured options.
Unsecured
(XX%)
Secured
(XX%)
Use-case
(XX%)
Business/SME
Loans
XX%
Business loans
lead with micro
to medium
enterprise focus.
Micro
enterprises
(XX%)
Small
enterprises
(XX%)
Medium
enterprises
(XX%)
Education Loans
XX%
Education loans
cover domestic
and international
studies.
Domestic
(XX%)
International
(XX%)
Skill-
development
(XX%)
NBFC Digital
Lending Platforms
XX%
NBFC platforms
lead with large to
�ntech NBFCs.
Large NBFCs
(XX%)
Mid-tier NBFCs
(XX%)
Fintech NBFCs
(XX%)
Bank-owned
Digital Lending
Platforms
XX%
Bank-owned
platforms
include public
and private
sector banks.
Public sector
banks
(XX%)
Private sector
banks
(XX%)
Small �nance
banks
(XX%)
P2P Lending
Platforms
XX%
P2P platforms
connect retail
and institutional
lenders.
Retail lenders
(XX%)
Institutional
lenders
(XX%)
By End User Individuals SMEs Corporates
By Deployment Type Cloud On-Premise
By Component Solution Services
Source: Ken Research Analysis
Note 1: Exhibits are illustrative; detailed numbers appear in the full report.
Note 2: XX% denotes CAGR.
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7. 02
India Digital Lending
Market Outlook

8. India Digital Lending Market Outlook
India Digital Lending Market Scenario
India’s digital lending market has matured rapidly, propelled by robust smartphone and internet penetration, supportive
UPI infrastructure and progressive regulatory guidelines. Key trends such as AI-driven underwriting, embedded finance
and Buy-Now-Pay-Later models have broadened credit access across salaried individuals, MSMEs and gig workers. Value
drivers include advanced data analytics, seamless eKYC processes and partnerships between banks, NBFCs and fintechs.
Tailwinds from open banking, digital identity and growing financial inclusion are set to catalyze sustained adoption. Over
the next five years, the market may witness consolidation, intensified competition, deeper rural outreach and emergent
credit ecosystems leveraging IoT and alternative data technologies.
Exhibit 2.1
Illustrative India Digital Lending Market Overview
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
2025 2030
By Loan Type Personal Loans Business/SME Loans Education Loans
By Lending Model
NBFC Digital Lending Platforms Bank-owned Digital Le nding Platforms
P2P Lending Platforms
Source: Ken Research Analysis
Note 1: The exhibit serves as an illustration, with numbers currently masked. The detailed statistics will be included in the final report.
Note 2: All revenue and financial numbers are for current year and financial year, i.e., 2025 & 2030.
Note 3: XX% in the above exhibit denotes market size.
CAGR: XX%
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9. 03
Market Segmentation of
India Digital Lending
Market

10. Market Segmentation of India Digital Lending Market
India Digital Lending Market Segmentation
By Loan Type, Personal Loans (Unsecured XX%) currently dominate due to digital-�rst disbursals, while Business/SME Loans (Micro
enterprises XX%, Small enterprises XX%) are emerging. By Lending Model, Fintech NBFCs under NBFC Digital Lending Platforms lead
share, supported by Bank-owned Digital Lending Platforms (Private sector banks XX%). By Deployment Type, Cloud leads, fostering
scalability, whereas On-Premise retains niche. By Component, Solution accounts for major spend as digital origination and risk
analytics mature. Growth opportunity lies in Education Loans (Skill-development XX%) and E-gold loans. Recent developments
include partnerships among Marketplace Lending Platforms and expansion in P2P Lending Platforms.
Exhibit 3.1
Illustrative Market Segmentation of India Digital Lending Market
Gold Loans
XX%
Education Loans
XX%
Business/SME
Loans
XX%
Personal Loans
XX%
Use-case
(XX%)
Secured
(XX%)
Unsecured
(XX%)
Marketplace
Lending Platforms
XX%
P2P Lending
Platforms
XX%
Bank-owned
Digital Lending
Platforms
XX%
NBFC Digital
Lending Platforms
XX%
Fintech NBFCs
(XX%)
Mid-tier NBFCs
(XX%)
Large NBFCs
(XX%)
Corporates
XX%
SMEs
XX%
Individuals
XX%
On-Premise
XX%
Cloud
XX%
Services
XX%
Solution
XX%
By Loan Type Personal Loans By Lending
Model
NBFC Digital
Lending
Platforms
By End User By Deployment
Type
By Component
Key Takeaways:
Source: Ken Research Analysis
Note 1: This exhibit serves as a visual representation. The �nal chart will include additional segments along with detailed statistics
in the �nal report.
Note 2: All revenue and �nancial numbers are for the current year.
Note 3: "XX%" in the above exhibit denotes market shares.
Digital lending is rapidly growing in India.
Fintech NBFCs are leading the market share.
Cloud deployment is preferred for scalability.
Education and E-gold loans present growth opportunities.
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11. 04
Overview And Genesis Of
The India Digital Lending
Market

12. Overview And Genesis Of The India Digital Lending Market
India Digital Lending Market Ecosystem
By FY2027, India’s digital lending ecosystem comprises three tiers. Large enterprises (SBI, HDFC Bank, Bajaj Finserv) offer
end-to-end omnichannel retail and SME loans via proprietary platforms, leveraging vast branch networks, strong balance
sheets, diversified revenue streams (interest, fees) and in-house credit engines. Medium players (IndusInd Bank, mid-tier
NBFCs) employ data analytics, credit-scoring APIs and fintech partnerships to serve tier-II/III SMEs through online
marketplaces, balancing partnership-driven lead generation with cross-sell opportunities. Small fintechs and P2P
platforms (KreditBee, LenDenClub) focus on mobile-first microloans, niche consumer segments, agile risk engines and
lean cost structures, monetizing via transaction fees and platform charges. Each tier’s business model canvas centers on
tailored value propositions, defined customer segments, optimized channels, key partnerships, core resources and
calibrated cost–revenue streams.
Exhibit 4.1
Illustrative Ecosystem of India Digital Lending Market
Entity type Revenue Streams Players
Banks (including public,
private, small-finance)
HDFC Bank
ICICI Bank
SBI
Axis Bank
AU Small Finance
Bank
Equitas
NBFCs & Housing Finance Cos.
Bajaj Finance
Tata Capital
Fullerton India
IIFL Finance
DHFL
Pure-play Fintech Lenders
Lendingkart
Capital Float
Indifi
FlexiLoans
CASHe
KreditBee
EarlySalary
Peer-to-Peer (P2P) Platforms
Faircent
Lendbox
i2i Lending
Cashkumar
Digital Loan Marketplaces &
Aggregators
BankBazaar
Paisabazaar
Paytm
MobiKwik
Loan Origination & Servicing
Software (LendTech)
Nucleus Software
(FinnOne)
Temenos
Mambu
FinFlux (InTech)
Credit Bureaus & Alternative
Scoring Agencies
TransUnion CIBIL
Experian
Equifax
Interest income on digital loans▶
Processing/origination fees▶
Late-payment & prepayment charges▶
Cross-sell commissions (insurance, cards, deposits)▶
Interest margin (lending vs. borrowings)▶
One-time processing fees▶
Prepayment, foreclosure & upliftment charges▶
Collection/servicing fees▶
Origination/processing fees▶
Interest income (short-term, buy-now-pay-later)▶
Late-fee & rollover charges▶
Merchant referral/affiliate commissions▶
Origination/facilitation fees (from borrowers & lenders)▶
Annual subscription to lenders▶
Late-payment penalty share▶
Technology-usage fees▶
Lead-sale/referral fees from lenders▶
Click-through & application-completion charges▶
Subscription/licensing for white-label services▶
SaaS/subscription fees (per user or loan)▶
Implementation/customization fees▶
Maintenance & support contracts▶
Transaction or per-API-call charges▶
Per-inquiry/query fees▶
Data‐subscription/license fees▶
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13. Entity type Revenue Streams Players
CRIF High Mark
Payment Gateways / UPI &
Wallet Providers
Paytm Payments
Razorpay
PayU
PhonePe
API Aggregators & Open-
Banking Providers
Setu
Cashfree
Perfios
Yodlee
Data/Analytics & Risk-
Management Vendors
FICO
SAS
Zeta Suite
UIDAI-KYC providers
Collections & Recovery
Service Providers
CRIF Recover
InTech Recovery
GirnarSoft
Collections
Analytics & custom‐reporting services▶
Revenue‐share on value-added offerings▶
Transaction processing fees (merchant & P2P)▶
Settlement fees▶
Merchant onboarding & integration charges▶
Value-added services (reconciliation, refunds)▶
API subscription / access fees▶
Per-call or data-volume charges▶
Implementation & integration services▶
Revenue-share on partner transactions▶
Subscription to analytics platforms▶
Professional/consulting services▶
Performance-based or success fees▶
Fraud-detection & compliance module licenses▶
Success/commission fees per recovered amount▶
Fixed-retainer for outsourcing▶
Technology platform fees (dialers, IVR, chatbots)▶
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14. 05
Competitive Landscape

15. Competitive Landscape (1/3)
Competitive Landscape Overview
Key players include Paytm, Bajaj Finserv, Lendingkart, Capital Float, Indiabulls and ZestMoney. Paytm leverages NPCI
rails, banks and its wallet to deliver instant personal and merchant credit via its app and POS network; revenue stems from
interest and fees. Bajaj Finserv, aligned with electronics retailers, uses omnichannel branches and data analytics to
underwrite EMI-based consumer loans. Lendingkart’s BMC centers on proprietary MSME credit scoring, partnerships with
payment gateways and direct digital disbursements. Capital Float integrates e-commerce and ERP platforms to offer
flexible business loans. Indiabulls and ZestMoney target salaried individuals and online shoppers with digital pay-later
solutions.
Exhibit 5.1
Illustrative Market Shares of Key Players in India Digital Lending Market
Note: These are illustrative representations and do not reflect actual data or real-world figures
Source: Ken Research Analysis
Note 1: The XX% in the exhibit represents the market share of each company.
Note 2: The exhibit serves as an illustration, with numbers currently masked.
Note 3: All revenue and �nancial numbers are for the current year.
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16. Competitive Landscape (2/3)
Exhibit 5.2
Illustrative Competition Matrix of India Digital Lending Market
Major Players in India Digital Lending Market
Figure represents cumulative market share for only the product segment.:
Note: These are illustrative representations and do not re�ect actual data or real-world �gures
Large Players Medium Players Small Players
Source: Ken Research Analysis
Note 1: The XX% in the exhibit shows the market share of each company, which represents the company's contribution to the total market.
Note 2: The exhibit serves as an illustration, with numbers currently masked.
Note 3: All revenue and �nancial numbers are for the current year.
Note 4: Enterprise size categories based on annual digital loan disbursement (US$ Bn)—Large >5 Bn; Medium 1–5 Bn; Small <1 Bn.
India Digital Lending Market: USD
XX Bn
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17. Competitive Landscape (3/3)
Exhibit 5.3
Illustrative Cross Comparison of Key Players in India Digital Lending Market
Company Headquarter
Loan
portfolio
size
(USD Bn)
Annual
disbursements
volume (USD
Bn)
Total
funding
raised
(USD
Bn)
Active
customer
base (Mn)
Average
ticket
size
(USD)
NPL
ratio
(%)
EBITDA
margin
(%)
Paytm Noida, India XX XX XX XX XX XX% XX%
Bajaj
Finserv
Pune, India XX XX XX XX XX XX% XX%
Indiabulls
Dhani
Gurugram,
India
XX XX XX XX XX XX% XX%
Home
Credit India
Gurugram,
India
XX XX XX XX XX XX% XX%
Lendingkart
Ahmedabad,
India
XX XX XX XX XX XX% XX%
Slice
Bengaluru,
India
XX XX XX XX XX XX% XX%
MoneyTap
Bengaluru,
India
XX XX XX XX XX XX% XX%
CASHe
Mumbai,
India
XX XX XX XX XX XX% XX%
EarlySalary Pune, India XX XX XX XX XX XX% XX%
KreditBee
Bengaluru,
India
XX XX XX XX XX XX% XX%
Source: Ken Research Analysis
Note 1: The XX% and XX values in the exhibit represent placeholder data and will be replaced with actual figures in the final report.
Note 2: All revenue and financial numbers are for the current year.
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18. 06
Analyst Recommendation

19. Analyst Recommendation
Exhibit 6.1
Target Addressable India Digital Lending Market Outlook To Fy’2027
Source: Ken Research Analysis
Note 1: The exhibit serves as an illustration, with numbers currently masked. The detailed statistics will be included in the final report.
Note 2: All revenue and financial numbers are for the current year.
TAM/SAM & SOM Analysis
TAM = USD XX Bn (Total digital lending
potential across Indian consumers and SMEs
based on credit demand projections.)
TAM = USD XX Bn (Serviceable
addressable market reachable by digital
lending platforms, constrained by
regulatory, infrastructure, and
distribution capabilities.)
TAM = USD XX Bn (Realistically
obtainable market share for a
specific provider, considering
competition, technology adoption,
and customer acquisition.)
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20. 07
Ken Research O&#6684774;erings

21. How can we add value ?
Strategy & Transformation
▶Digital transformation ▶Portfolio & Growth strategy
Growth and Scale-Up
Branch expansion strategies
▶Domestic and international
market expansion
▶Digital channel expansion
▶Product diversi&#6684777;cation (loans,
savings, insurance)
New digital payment systems and
platforms
Mobile and online banking
solutions
Cost and Performance Excellence
Reduction in operational costs
▶Cost-to-serve optimization
▶Operational e&#6684774;iciency
improvements
▶Risk management optimization
Customer Loyalty and Experience
Personalized banking
experiences
▶Loyalty programs and rewards
▶Digital engagement and self-
service options
▶Customer support through
multiple touchpoints
Investment Advisory
▶Commercial due diligence
▶Target screening
Enablement and Implementation
▶Post-merger integration ▶Platform and technology
integration
▶Data privacy and security
compliance
Ken Research
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22. Ken Offerings
Customer Experience &
Retention
Digital Banking Services Cost & Revenue Optimizatio n
Risk & Compliance
Management
Product & Service Innovation Technology & Digital
Transformation
Market Expansion & Growth Branch & Channel Optimiza tion
Our Solutions to Help Increase Stakeholder Value
Improve customer satisfaction &
NPS scores.
➤
Increase customer engagement
through personalized services.
➤
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complaints.
➤
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functionality & usability.
➤
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& digital transaction volume.
➤
Maximize efficiency in digital
loan application & approval
process.
➤
Lower operating costs through
automation & digital solutions.
➤
Increase non interest income
from digital products & services.
➤
Maximize profitability from
personalized banking products.
➤
Ensure compliance with
regulatory standards (e.g., KYC,
AML, GDPR).
➤
Reduce fraud incidents &
unauthorized transactions.
➤
Enhance data privacy & security
protocols.
➤
Increase adoption of digital
wallets, robo advisory & lending
platforms.
➤
Improve customization of
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credit cards).
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Implement AI for fraud detection
& personalized customer service.
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Increase adoption of blockchain
for secure transactions.
➤
Enhance integration of mobile
payments & biometric
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➤
Grow customer base in
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➤
Increase market share through
partnerships with fintech firms.
➤
Expand digital banking services
to international markets.
➤
Reduce operational costs
through branch automation &
self service kiosks.
➤
Improve multi channel
integration (online, mobile, in
branch).
➤
Enhance customer service &
support through omnichannel
approaches.
➤
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24. Research Methodology
1. Desk Research
Sources
Utilized industry reports,
government publications,
and financial databases to
gather data on the India
Digital Lending Market,
including market trends,
regulatory environment,
and competitive landscape.
2. Expert Interviews
Conducted interviews with
industry experts, including
digital lending executives
and financial analysts, to
gain insights into market
dynamics, challenges, and
growth opportunities.
3. Sanity Check
Models
Employed a proxy model
using the number of users,
frequency of loans, and
average loan size to
estimate the addressable
market. Cross-verified with
supply-side data on the
number of lending platforms
and their average revenue.
4. Forecasting
Modeling
Developed a future forecast
model using historical
growth rates, economic
indicators, and
technological
advancements to project
the market size and growth
trajectory over the next five
years.
SAMPLE SIZE BY STAKEHOLDERS
By Stakeholders Number of Respondents
C Level Executive ~ Respondents
Operational/Regional Managers ~ Respondents
Business Development / Sales Manager ~ Respondents
Others -Key opinion leaders from Associations, Warehouses, and Manufacturing firms.
SAMPLE SIZE BY RESPONDENT CATEGORY IN PERCENTAGE (% )
C Level Executive - XX%
Operational/Regional
Managers - XX%
Business Development /
Sales Manager - XX%
Others - XX%
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O&#6684774;ice no. 9, Building no. 171, Zone no. 42, Street no. 230, Al-Rehab Complex, C-Ring road Doha, Qatar -
PO Box no. 30867