Opportunities for Financial Services in a $10 Tr Economy

Opportunities for Financial Services in a $10 Tr Economy

Based on article by EY-Parthenon

Indian FS sector GDP would be a top 20 country by 2034

  • Current low penetration in financial services, combined with favorable growth conditions, is expected to drive increased penetration and business volumes.
  • Financial services revenue pool projected to grow from ₹20 trillion ($0.25 trillion) in FY22 to ₹136 trillion ($1.2 trillion) by 2034.
  • The growth in the revenue pool will be equivalent to the current GDP of Turkey.
  • By 2034, if the Indian financial services sector were a country, it would rank among the top 20 global economies by GDP.


Growth in revenue pool of segments within Financial Services in India (in Rs. Tn)
Opportunities for Financial Sector:

For India to become a $10 trillion economy, the financial services sector must play a crucial role, addressing significant growth opportunities ("white space") rapidly.

  • Current conditions are favorable for innovators, supported by three main growth drivers:

- Demographic shifts

- Digital Public Infrastructure (DPI) 2.0

- Technology modernization by industry incumbents

  • Seven key revenue pools expected to experience exponential growth due to strong demand and supply forces:

- Consumer lending / Nano/micro lending / SME lending / Distribution / Retail health insurance / Financial services technology ("TechFin") / Wealth management

DPI 2.0 Benefits for Financial Services:

  • Enhanced Customer Insights:

- DPI 2.0 consolidates customer data from multiple sources, giving deeper insights into assets, liabilities, and cashflows.

- Enables creation of tailored products, such as customized repayment schedules and pre-approved offerings, reducing acquisition costs and improving conversion rates.

  • Individual Loan Pricing Based on Risk Profile:

- Access to detailed customer data allows lenders to price loans according to individual risk, especially in nano/micro lending.

- Expected to lower interest rates for low-risk customers, increasing loan affordability.

  • Dynamic Loan Pricing and Streamlined Collections:

- Better visibility of cashflows enables dynamic pricing based on borrower metrics.

- Improved focus on collections from difficult cases, reducing resources spent on lower-risk borrowers.

  • Reduced Turnaround Time (TAT) for Secured Loans

- Digitized records (land, judicial, etc.) and NFIA data enable faster underwriting, reducing TAT from days to near-instant approvals.

Challenges: Distribution Challenges in Indian Fintech:

  • Distribution costs are significant in the unit economics of financial services:

- 10% of revenue (Net Interest Margin) for secured loans.

- 20% for unsecured loans.

- 20-40% of the first-year premium for most insurance products.

- In direct-to-consumer small-ticket lending and insurance, distribution costs can exceed 50% of revenue.

  • To manage high costs, distribution is often outsourced, converting it into a variable cost model:

- Agents for insurance.

- Direct Selling Agents (DSAs) for loans.

- Independent Financial Advisors (IFAs) for mutual funds.

Distribution Model of the Future:

  • Technology-Led Distribution Models in Fintech:

- Digital Payments-Led Distribution: Platforms like PhonePe, GPay, and Paytm, leveraging consumer payment interactions despite low revenue margins.

- Online Product-Focused Distribution: Innovators like Policybazaar (insurance) and Paisabazaar (loans), offering tailored digital platforms.

- Offline Product-Focused Distribution: Companies like Andromeda (loans), Turtlemint, InsuranceDekho (insurance), NJ India Invest, and Prudent (mutual funds) focusing on offline models for specific financial products.

  • Diverse Distribution Models:

- Due to India's vast and varied market, multiple models (offline, online, hybrid) will continue to coexist.

- Simple consumer products (e.g., personal loans, credit cards, basic insurance) are rapidly adopting fully digital models.

- Complex products (e.g., secured loans, SME/corporate products, advanced insurance, mutual funds) require a mix of digital and physical ("touch and tech") channels for guidance and risk assessment.

  • Shift to Multiproduct Franchises:

- Competitive pressures will drive distribution businesses to move from single-product focus to multiproduct models.

- Cross-selling and repeat sales are essential, especially in micro-lending and insurance, to enhance lifetime customer value and offset high acquisition costs.

  • Managed General Agent (MGA) Model in Insurance:

- MGAs could enable insurance intermediaries to capture more value by handling customer acquisition, underwriting, and risk-sharing.

- MGAs specialize in niche or nonstandard insurance areas (e.g., real estate, OPD) often overlooked by traditional insurers.

- In the US and UK, MGAs play a significant role, accounting for 6-10% of insurance premiums, with many P&C insurers partnering with MGAs to source new business.

Tech Spend - FS institution wise


Tech Spend- Insurance
Key Technology Investment Trends for Banks:

  • Banks' technology spending is projected to increase significantly, rising from 6.9% to 11% of total spending.
  • This increase will expand banking tech investment from approximately ₹58,000 Cr to around ₹3,60,000 Cr (~6x growth) over the decade.


  • Networked Lending Architecture:

- Banks are embracing co-lending models, leveraging fintech and niche NBFC distribution and underwriting capabilities.

- Real-time, low-latency systems are crucial for cross-selling financial products through digital consumer platforms (e.g., payments, e-commerce).

  • Regulatory Compliance and Growth in RegTech:

- Progressive regulators (RBI, SEBI, IRDA) require sophisticated systems to ensure consumer protection, manage systemic risks, and enable real-time monitoring, fueling RegTech growth.

  • Modern Core Banking Applications:

- Some banks in India, alongside global counterparts, are starting to adopt modern applications for core systems (e.g., core banking, card management), with anticipated growth in adoption as these systems mature.


Share of software spend by area in FY 34


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