How will North America fare in the digital lending platform market landscape?

Growing digitization across financial institutions and internet penetration coupled with proliferation of smartphones is driving digital lending platform market trends. Due to rising demand among financial institutions to reduce operating costs through streamlined operations across all borrower and lender interactions, adoption of digital lending platforms is estimated to gain traction.

Digital lending platform integrates advanced technologies, including machine learning, AI, e-signature, biometric-enabled authentication, blockchain and advanced analytics, in order to improve credit risk decision, enable zero human touch monitoring & lending and enhance business decisions that ultimately facilitate smooth money lending process along with efficient monetary tractions.

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How will integration of digital lending platforms in automotive loan segment propel digital lending platform market outlook over the forecast period?

Increasing use of mobile banking for repayment of loans, rapid urbanization and surging trends for digitalization are driving digital lending platform market size. Consumers are progressively using digital lending platforms to avail automotive loans due to various benefits, including minimal documentation, transparent & fast loan processing and lower interest rate when compared to traditional lending.

Automobile dealers are increasingly using digital lending platforms to offer customers flexible repayment methods, collateral-free loans, and affordable loan options. The integration of AI and advanced analytics in digital lending platforms for automotive loans enable consumers in making credit decisions with less costly underwriting, quicker approval and disbursal of loans.

How will PoS digital lending contribute to the overall digital lending platform market share?

Fintech companies are increasingly using data from PoS machines to calculate related credit risk, loan tenure and approved amount. These credit decisions are backed by several advanced technologies including AI, blockchain and machine learning.

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For instance, NeoGrowth, a leading NBFC company, developed a digital lending platform that used PoS machine data of merchants and raised over $90 million from investors. PoS digital lending system is estimated to witness significant growth of over 24% over the forecast timespan.

What factors will shape North America digital lending platform trends?

Supportive government policies across North America to promote the use of digital banking solutions are acting as major driving force for digital banking market growth. According to the America Bankers Association, digital platforms are already being used by over 50% large banks in the North America along with over 38% smaller banks to deliver their lending services to customers.

In 2018, North America accounted for the highest share in digital lending platform market, due to the high adoption of digital end-to-end banking solutions in the region.

Table Of Content

Chapter 1   Methodology & Scope

1.1    Scope & definitions

1.2    Methodology and forecast parameters

1.3    Region-wise COVID-19 impact analysis:

1.3.1    North America

1.3.2    Europe

1.3.3    Asia Pacific

1.3.4    Latin America

1.3.5    Middle East & Africa

1.4    Regional trends

1.5    Data Sources

1.5.1    Secondary

1.5.2    Primary

Chapter 2   Executive Summary

2.1    Digital lending platform industry 360° synopsis, 2016-2027

2.2    Business trends

2.3    Regional trends

2.4    Component trends

2.5    Deployment trends

2.6    Business model trends

2.7    Product trends

2.8    Application trends

Chapter 3   Digital Lending Platform Industry Insights

3.1    Introduction

3.2    Industry segmentation

3.3    Impact of COVID-19 outbreak

3.3.1    Global outlook

3.3.2    Impact by region

3.3.2.1    North America

3.3.2.2    Europe

3.3.2.3    Asia Pacific

3.3.2.4    Latin America

3.3.2.5    Middle East and Africa

3.3.3    Impact on industry value chain

3.3.3.1    Suppliers

3.3.3.2    Digital banking technology providers

3.3.3.3    Marketing & distribution channels

3.3.4    Impact on competitive landscape

3.3.4.1    Strategy

3.3.4.2    Distribution network

3.3.4.3    Business growth

3.4    Digital lending platform ecosystem analysis

3.4.1    Digital lending platform provider

3.4.2    Digital lending service provider

3.4.3    Cloud service providers

3.4.4    System integrators

3.4.5    Distributors

3.4.6    End users

3.5    Technological & innovation landscape

3.5.1    Artificial Intelligence (AI)

3.5.2    Predictive analytics

3.5.3    Blockchain

3.5.4    Biometrics

3.5.5    Application Processing Interfaces (APIs)

3.5.6    Human digital interface

3.6    Patent analysis

3.7    Investment portfolio

3.8    Regulatory landscape

3.8.1    North America

3.8.1.1    Gramm-Leach-Bliley Act of 1999, U.S.

3.8.1.2    The Sarbanes-Oxley Act of 2022

3.8.1.3    Federal Information Security Management Act (FISMA)

3.8.1.4    Dodd–Frank Wall Street Reform and Consumer Protection Act

3.8.2    Europe

3.8.2.1    The General Data Protection Regulation (GDPR) (EU)

3.8.2.2    European Market Infrastructure Regulation (EMIR)

3.8.2.3    Anti-Money Laundering Directive 2015/849/EU (AMLD)

3.8.3    Asia Pacific

3.8.3.1    Cybersecurity Law, China

3.8.4    LAMEA

3.8.4.1    Cyber Security Framework, Saudi Arabian Monetary Authority (SAMA)

3.9    Digital lending platform Vs traditional lending

3.10    Industry impact forces

3.10.1    Growth drivers

3.10.1.1    Increasing digitalization

3.10.1.2    Adoption of digital channels to improve customer experience

3.10.1.3    Rise in usage of smartphones for banking applications

3.10.1.4    A rise in the adoption of blockchain and AI-based digital lending platforms

3.10.1.5    Favorable government regulations for digital lending

3.10.2    Industry pitfalls & challenges

3.10.2.1    High dependence on traditional lending methods

3.10.2.2    Rising cybersecurity concerns among organizations

3.10.2.3    Lack of digital literacy in developing countries

3.11    Growth potential analysis

3.12    Porter’s analysis

3.12.1    Bargaining power of suppliers

3.12.2    Bargaining power of buyers

3.12.3    Threat of new entrants

3.12.4    Threat of substitutes

3.13    PESTEL analysis