What is digital lending and its future
India Today
Digital Lending involves lending through web platforms or mobile apps, utilizing technology for authentication and credit evaluation.
Historically, lending has been a transaction in which the lender gives money to the borrower in exchange for a return (interest) on the money. While there are a variety of complex lending and financing instruments, lending is always centred on one thing: the ability to get the money back.
Traditionally, this sector was highly disorganized. It has evolved over time from pawnbrokers lending money in exchange for collateral to a more structured procedure involving banks and/or financial institutions. Rapid advancements in cloud computing, artificial intelligence, and blockchain, as well as faster and more affordable internet connectivity, have fuelled the rise of FinTech start-ups, and lending has also transformed and become "digital."
Digital Lending involves lending through web platforms or mobile apps, utilizing technology for authentication and credit evaluation. Lending is always about trying to get a strategic edge. How can fraud be found more easily, decisions about underwriting made more accurately, or the universe of targets grow more quickly than competitors? India still has the second-largest number of people who don't have a bank account.
Over 190 million Indian adults don't have any kind of bank account thereby representing a huge opportunity. Over the years, the digital lending market in India has significantly expanded. The value of digital lending rose from USD 33 billion in FY15 to USD 150 billion in FY20 and is projected to reach USD 350 billion by FY23.
In the past few years, machine learning has transformed conventional lending. The operations of lending institutions are governed by governmental financial regulatory bodies, which provide various regulatory guidelines and compliance is a must.
Using the power of machine learning, financial institutions can now make quicker and more accurate decisions by shifting from an analysis of individuals to an analysis of patterns and trends. The global market for digital lending platforms is anticipated to reach $20 billion by 2026, representing a compound annual growth rate of 19.6 per cent over the previous seven years.
As a result of the advantages of a transformed lending process, such as improved decision-making, happier customers, cost optimization, etc., machine learning provides lenders with a variety of ancillary leverage points, such as -Enhanced operational effectiveness, Improved precision, simplified compliance, and Effective analysis of large volumes of data.
