In the financial year 2023, home loans dominated the retail loan market in India by portfolio outstanding or value with a share of **** percent, followed by personal loans with over ** percent. Consumer-durable loans had the lowest portfolio outstanding or value in the retail loan category. Retail loans are loans given to individual consumers for various reasons such as purchase of property, vehicles, consumer durables, funding education etc.

As of June 2023, personal loans dominated the retail loans market in India by the count of active loans, with a share of **** percent. The segment was followed by credit card with around **** percent. Auto loans ranked the lowest in terms of volume. Retail loans are loans given to individual consumers for various reasons such as purchase of property, vehicles, consumer durables, funding education etc.

India Credit Transfers: Retail: Volume data was reported at 20,200.861 Unit mn in Mar 2025. This records an increase from the previous number of 17,739.461 Unit mn for Feb 2025. India Credit Transfers: Retail: Volume data is updated monthly, averaging 7,467.364 Unit mn from Nov 2019 (Median) to Mar 2025, with 65 observations. The data reached an all-time high of 20,200.861 Unit mn in Mar 2025 and a record low of 1,795.071 Unit mn in Apr 2020. India Credit Transfers: Retail: Volume data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI008: Credit Transfer: Retail.

In financial year 2024, Indian banks had deployed over *** trillion Indian rupees of gross bank credit. The lion's share of over ** trillion Indian rupees went to the retail sector, followed by service sector at around ** trillion Indian rupees. As of fiscal year 2024, on a year-on-year basis, retail loans - including housing, motor, or credit cards - had increased by ** percent compared to fiscal year 2023.

India Credit Transfers: Retail: Volume: Unified Payments Interface: Unstructured Supplementary Service Data data was reported at 0.126 Unit mn in Mar 2025. This records an increase from the previous number of 0.115 Unit mn for Feb 2025. India Credit Transfers: Retail: Volume: Unified Payments Interface: Unstructured Supplementary Service Data data is updated monthly, averaging 0.115 Unit mn from Nov 2019 (Median) to Mar 2025, with 65 observations. The data reached an all-time high of 0.277 Unit mn in Jul 2023 and a record low of 0.068 Unit mn in Feb 2022. India Credit Transfers: Retail: Volume: Unified Payments Interface: Unstructured Supplementary Service Data data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI008: Credit Transfer: Retail.

In financial year 2024, Indian banks had deployed over ** trillion Indian rupees to the retail loans sector. This was an increase by around ** percent compared to the previous year. The lion's share of credits went to the home loans segment with over ** trillion Indian rupees. Other segments with a credit value of more than two trillion Indian rupees were auto loans as well as credit card receivables.

India Credit Transfers: Retail: Value: National Automated Clearing House: Credit Payment data was reported at 1,764,012.300 INR mn in Mar 2025. This records an increase from the previous number of 1,408,805.100 INR mn for Feb 2025. India Credit Transfers: Retail: Value: National Automated Clearing House: Credit Payment data is updated monthly, averaging 1,196,767.600 INR mn from Nov 2019 (Median) to Mar 2025, with 65 observations. The data reached an all-time high of 1,787,571.614 INR mn in Mar 2023 and a record low of 613,639.140 INR mn in Feb 2021. India Credit Transfers: Retail: Value: National Automated Clearing House: Credit Payment data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI008: Credit Transfer: Retail.

India NBFCs: Gross Advances: Non Food Credit: Retail Loans: Consumer Durables data was reported at 409,570.000 INR mn in 2024. This records an increase from the previous number of 315,410.000 INR mn for 2023. India NBFCs: Gross Advances: Non Food Credit: Retail Loans: Consumer Durables data is updated yearly, averaging 191,710.000 INR mn from Mar 2016 (Median) to 2024, with 9 observations. The data reached an all-time high of 409,570.000 INR mn in 2024 and a record low of 30,360.000 INR mn in 2016. India NBFCs: Gross Advances: Non Food Credit: Retail Loans: Consumer Durables data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAH065: Non Banking Financial Companies: Gross Advances.

In financial year 2024, the **************** remained the largest recipient of credit from the NBFC sector. This was followed by the ************* in the retail sector. The total credit employed by NBFCs was approximately ** trillion rupees that year.

India Credit Transfers: Retail: Value data was reported at 82,426,011.738 INR mn in Mar 2025. This records an increase from the previous number of 64,976,598.178 INR mn for Feb 2025. India Credit Transfers: Retail: Value data is updated monthly, averaging 42,981,576.237 INR mn from Nov 2019 (Median) to Mar 2025, with 65 observations. The data reached an all-time high of 82,426,011.738 INR mn in Mar 2025 and a record low of 16,878,029.973 INR mn in Apr 2020. India Credit Transfers: Retail: Value data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI008: Credit Transfer: Retail.

India SCB: Credit Outstanding: Non Food: Services: Trade: Retail data was reported at 5,381,676.051 INR mn in Mar 2025. This records an increase from the previous number of 5,252,632.869 INR mn for Feb 2025. India SCB: Credit Outstanding: Non Food: Services: Trade: Retail data is updated monthly, averaging 1,896,040.000 INR mn from Sep 2005 (Median) to Mar 2025, with 235 observations. The data reached an all-time high of 5,381,676.051 INR mn in Mar 2025 and a record low of 336,690.000 INR mn in Oct 2005. India SCB: Credit Outstanding: Non Food: Services: Trade: Retail data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAH001: Scheduled Commercial Banks: Credit: Gross Outstanding: by Sector.

Deposit Growth in India increased to 10.20 percent in the week ending November 14 from 9.70 percent two weeks before. This dataset provides - India Deposit Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The India BNPL market is valued at USD 2.79 Billion in 2023 and is anticipated to reach USD 36.81 Billion by 2031, growing at a CAGR of 36.1% from 2024 to 2031.

Key Market Drivers: Surging E-commerce Growth: The rapid expansion of e-commerce in India is a significant driver for the BNPL market. With online shopping becoming increasingly popular, consumers are more inclined to use BNPL options at checkout for convenience and flexibility. The integration of BNPL services into e-commerce platforms has made it accessible to a broader customer base. Consumer Demand for Flexible Payment Options: There is a growing consumer preference for flexible payment solutions that allow for deferred payments without incurring high interest. This trend is particularly strong among younger demographics, including Millennials and Gen Z, who favor installment-based purchases for managing their finances effectively.

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Micro Lending Market Size 2025-2029

The micro lending market size is forecast to increase by USD 532.1 billion at a CAGR of 28.1% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of advanced technology in microfinancing. This technological evolution is enabling financial institutions to expand their reach and provide more accessible and efficient services to a larger population, particularly in developing nations. However, despite this progress, there remains a substantial untapped market due to the lack of awareness about financial services in certain regions. This presents both opportunities and challenges for market participants. On the one hand, there is a vast potential customer base waiting to be served, offering significant growth prospects. On the other hand, there are complexities in reaching and serving these customers effectively, requiring innovative solutions and strategic partnerships.
One major trend is the adoption of advanced technology in microfinancing, enabling faster and more efficient loan processing and underwriting. This technology includes mobile applications, biometric identification, and artificial intelligence. Another trend is the increasing adoption of micro lending in developing nations, where access to traditional banking services is limited. Companies seeking to capitalize on this market opportunity must navigate these challenges with agility and a deep knowledge of local market dynamics. By leveraging technology, building strong partnerships, and addressing the unique needs of the market, businesses can effectively serve this growing customer base and differentiate themselves in a competitive landscape.

What will be the Size of the Micro Lending Market during the forecast period?

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The market continues to gain momentum as a critical component of global financial inclusion efforts. This market encompasses various financial inclusion strategies, including digital financial inclusion, loan disbursement through fintech platforms, and microfinance trends that prioritize responsible lending and sustainable finance. Financial inclusion policies have driven market growth, enabling greater financial resilience and empowerment for individuals and communities. Despite the market's progress, challenges persist, such as loan default, financial literacy programs, and debt management. Impact measurement, social impact reporting, and financial inclusion metrics are essential for assessing the market's success and addressing these challenges. Regulations and best practices play a crucial role in ensuring microfinance remains an effective solution for inclusive finance.
Borrowers, often from economically disadvantaged backgrounds, use these loans for various purposes, including starting small businesses in retail, food services, handicrafts, livestock rearing, transportation, recycling, and health services. Micro lending plays a crucial role in addressing income inequality by providing access to financial services for those excluded from the formal banking sector. Collateral is usually not required for these loans, making them more accessible than traditional loans. Financial inclusion initiatives have seen significant investment opportunities, with fintech startups and alternative data sources driving innovation. The market's future direction lies in data-driven lending, financial inclusion frameworks, and inclusive finance that caters to the unique needs of microenterprises and their development. Overall, the market's continued growth and evolution reflect its vital role in fostering financial inclusion and promoting economic prosperity.

How is this Micro Lending Industry segmented?

The micro lending industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Source

  Banks
  NBFCs
  MFIs


End-user

  Small enterprises
  Solo entrepreneurs
  Micro-entrepreneurs


Geography

  APAC

    Australia
    China
    India
    Japan
    South Korea


  Europe

    Germany
    UK


  North America

    US


  Middle East and Africa



  South America

    Brazil

By Source Insights

The banks segment is estimated to witness significant growth during the forecast period. Micro lending banks provide financial services, such as loans, savings accounts, and insurances, to individuals with limited income. Established by various entities, including individuals, community organizations, private corporations, and foreign investors, these banks focus on economically disadvantaged clients, low-income households, and unbanked populations, including marginalized groups like women, youth, disabled individuals, and informal sector operators, such as micro-entrepreneurs and

The India Retail Loan market has emerged as a pivotal segment within the country's financial landscape, driven by a burgeoning middle class and increasing consumer aspirations. As of the latest reports, the market is valued at approximately INR 20 trillion (around USD 270 billion), showcasing impressive growth trend

India Credit Transfers: Retail: Value: Unified Payments Interface data was reported at 24,772,215.900 INR mn in Mar 2025. This records an increase from the previous number of 21,964,817.000 INR mn for Feb 2025. India Credit Transfers: Retail: Value: Unified Payments Interface data is updated monthly, averaging 10,631,170.400 INR mn from Nov 2019 (Median) to Mar 2025, with 65 observations. The data reached an all-time high of 24,772,215.900 INR mn in Mar 2025 and a record low of 1,511,406.643 INR mn in Apr 2020. India Credit Transfers: Retail: Value: Unified Payments Interface data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI008: Credit Transfer: Retail.

Credit Decisioning as a Service Market Outlook

According to our latest research, the Global Credit Decisioning as a Service market size was valued at $2.8 billion in 2024 and is projected to reach $9.7 billion by 2033, expanding at a robust CAGR of 14.7% during 2024–2033. The surging demand for real-time, data-driven credit assessment solutions is a primary growth driver, as financial institutions and fintech companies increasingly seek to automate and streamline their lending processes while minimizing risk and enhancing customer experience. The integration of advanced analytics, artificial intelligence, and machine learning into credit decisioning platforms has enabled more accurate risk profiling, faster loan approvals, and improved compliance, propelling the market forward on a global scale.

Regional Outlook

North America currently holds the largest share in the Credit Decisioning as a Service market, accounting for approximately 38% of the global revenue in 2024. This dominance is attributed to the region's mature financial sector, widespread adoption of advanced technologies, and a strong regulatory framework that encourages digital transformation. The presence of leading credit bureaus, fintech innovators, and a high concentration of banks and non-banking financial institutions has fostered a fertile environment for the rapid deployment of credit decisioning solutions. Moreover, consumer demand for instant, seamless credit experiences has pushed North American organizations to invest heavily in cloud-based and AI-powered platforms, further cementing the region’s leadership in this market.

The Asia Pacific region is anticipated to be the fastest-growing market for Credit Decisioning as a Service, projected to register a remarkable CAGR of 17.2% during the forecast period. The surge is fueled by the rapid digitalization of financial services, increasing smartphone penetration, and the emergence of a vast underbanked population seeking access to credit. Countries such as China, India, and Southeast Asian nations are witnessing significant investments from both local and global fintech players aiming to tap into the expanding consumer and SME lending segments. Additionally, government initiatives to promote financial inclusion and the adoption of cloud technologies are accelerating the deployment of automated credit decisioning platforms across the region.

Emerging economies in Latin America and Middle East & Africa present unique opportunities and challenges for the Credit Decisioning as a Service market. While these regions are experiencing increasing demand for credit and financial inclusion, they face hurdles such as fragmented regulatory environments, limited digital infrastructure, and lower levels of financial literacy. However, localized solutions tailored to regional credit behaviors, as well as public-private partnerships to drive digital transformation, are gradually overcoming these barriers. As fintech adoption continues to rise, especially among SMEs and retail borrowers, these regions are expected to contribute significantly to the global market’s growth trajectory over the coming decade.

Report Scope

Context

The card payments data is published by the Reserve Bank of India on a monthly basis. The statistics cover the methods of payment used in retail transactions and ATM transactions in India. It constitutes payments via debit cards, credit cards, ATMs etc, . It can can be used to check trend of card based payment in India.

Content

The data contains monthly statistics of the following information from Apr'2011 to Aug'2019 1. Number of ATM deployed on site by the bank. 1. Number of ATM deployed off site by the bank. 1. Number of POS deployed online by the bank 1. Number of POS deployed offline by the bank 1. Total number of credit cards issued outstanding (after adjusting the number of cards withdrawan/cancelled). 1. Total number of financial transactions done by the credit card issued by the bank at ATMs 1. Total number of financial transactions done by the credit card issued by the bank at POS terminals 1. Total value of financial transactions done by the credit card issued by the bank at ATMs 1. Total value of financial transactions done by the credit card issued by the bank at POS terminals. 1. Total number of debit cards issued outstanding (after adjusting the number of cards withdrawan/cancelled). 1. Total number of financial transactions done by the debit card issued by the bank at ATMs 1. Total number of financial transactions done by the debit card issued by the bank at POS terminals 1. Total value of financial transactions done by the debit card issued by the bank at ATMs 1. Total value of financial transactions done by the debit card issued by the bank at POS terminals.

Acknowledgements

The data is scraped from RBI monthly statistics https://www.rbi.org.in/scripts/ATMView.aspx More details on how this data is collected and cleaned is documented in this kernel https://www.kaggle.com/karvalo/indian-card-payment-data-gathering-and-analysis

Operating-Income Time Series for Edelweiss Financial Services Limited. Edelweiss Financial Services Limited provides financial products and services to corporations, institutions, and individuals in India. It offers retail credit products, such as home, small and medium-sized enterprise, and business loans; and investment banking services. The company also provides asset management, mutual funds, asset reconstruction, asset reconstruction, and housing finance products and services. In addition, it offers life and general insurance products and advisory services, as well as being involved in the lending, investment, and trading activities. The company was formerly known as Edelweiss Capital Limited and changed its name to Edelweiss Financial Services Limited in August 2011. Edelweiss Financial Services Limited was incorporated in 1995 and is based in Mumbai, India.

Enterprise-Value-To-Sales-Ratio Time Series for Union Bank of India. Union Bank of India provides banking products and services in India. It operates in four segments: Treasury Operations, Retail Banking Operations, Corporate and Wholesale Banking, and Other Banking Operations. The company offers savings, salary, and current accounts; term deposits; retail loans comprising home, vehicle, and education, loans; personal, MSME, agriculture, foreign currency, and gold loans; loans against the property; loans for senior citizen and pensioners; and debit, credit, and gift cards. It also provides corporate loans, such as line of credit, trade finance, working capital, project financing, and channel finance; wealth management; mutual funds; life, non-life, and health insurance products; and government saving and international schemes. In addition, the company offers app, internet, doorstep, explore digital, self-service, ATM, and SMS banking services; safe deposit locker and cheque collection; positive pay and cash management systems; point of sale terminal and immediate payment; and demat and online trading services. Further, it provides ECGC cover and foreign exchange; derivatives; export and import; NRI banking; remittance; treasury; and other products and services. Union Bank of India was incorporated in 1919 and is headquartered in Mumbai, India.