Digital lending is the use of online technology to manage loan processes, such as originating and renewing loans to deliver faster and more efficient decisions. These platforms enable lenders to provide loans directly to borrowers through software, and reduces the burdens associated with complicated process of applying and receiving funding. The technology has been widely adopted among digital lenders to improve productivity, close a greater number of loans deals, and increase revenue per loan in a rapid and automated manner.
Rapid growth of the digital lending market, owing to continuous growth in digitalization initiatives among financial organizations, and government initiatives for digital lending in developing countries, such as India and China have boosted the adoption of digital lending platforms in the recent years. However, security & compliance concerns, are expected to hinder the growth of the market. On the contrary, growing technological advancements, such as AI integration in digital lending platforms and high growth of cloud-based platforms are expected to present major opportunities for the market growth during the forecast period.
The global digital lending platform market is segmented based on component, application, deployment model, end-user, and region. Depending on component, the market is divided into solution, and service. Based on application, it is segmented into decision automation, collections and recovery, loan processing, risk and compliance management; and others. On the basis of deployment model, it is bifurcated into on-premise, and cloud-based. By end-user, it is classified into banks, insurance companies, credit unions, savings and loan associations, peer-to-peer lending, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the market, including Black Knight, Ellie MAE, Finastra, FIS Global, Fiserv, Intellect Design Arena, Nucleus Software, Tavant Technologies, Temenos, and Wipro. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
KEY BENEFITS FOR STAKEHOLDERS
By Component
o Canada
o Germany
o France
o Russia
o Rest of Europe
o India
o Japan
o Rest of Asia-Pacific
o Middle East
o Africa
KEY MARKET PLAYERS
Rapid growth of the digital lending market, owing to continuous growth in digitalization initiatives among financial organizations, and government initiatives for digital lending in developing countries, such as India and China have boosted the adoption of digital lending platforms in the recent years. However, security & compliance concerns, are expected to hinder the growth of the market. On the contrary, growing technological advancements, such as AI integration in digital lending platforms and high growth of cloud-based platforms are expected to present major opportunities for the market growth during the forecast period.
The global digital lending platform market is segmented based on component, application, deployment model, end-user, and region. Depending on component, the market is divided into solution, and service. Based on application, it is segmented into decision automation, collections and recovery, loan processing, risk and compliance management; and others. On the basis of deployment model, it is bifurcated into on-premise, and cloud-based. By end-user, it is classified into banks, insurance companies, credit unions, savings and loan associations, peer-to-peer lending, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the market, including Black Knight, Ellie MAE, Finastra, FIS Global, Fiserv, Intellect Design Arena, Nucleus Software, Tavant Technologies, Temenos, and Wipro. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the global digital lending platform market along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restrains, and opportunities and their impact analyses on the market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the global digital lending platform market from 2018 to 2026 is provided to determine the market potential.
By Component
- Solution
- Service
- Loan Origination
- Decision Automation
- Collections and Recovery
- Risk and Compliance Management
- Others
- On-premise
- Cloud-based
- Banks
- Insurance Companies
- Credit Unions
- Savings and Loan Associations
- Peer-to-Peer Lending
- Others
- North America
o Canada
- Europe
o Germany
o France
o Russia
o Rest of Europe
- Asia-Pacific
o India
o Japan
o Rest of Asia-Pacific
- LAMEA
o Middle East
o Africa
KEY MARKET PLAYERS
- Black Knight
- Ellie MAE
- Finastra
- FIS Global
- Fiserv
- Intellect Design Arena
- Nucleus Software
- Tavant Technologies
- Temenos
- Wipro
Note: Product cover images may vary from those shown
CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY MARKET SEGMENTS
1.3. KEY BENEFITS
1.4. RESEARCH METHODOLOGY
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3: MARKET LANDSCAPE
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. PORTER'S FIVE FORCES ANALYSIS
3.3.1. Bargaining power of suppliers
3.3.2. Threat of new entrants
3.3.3. Threat of substitutes
3.3.4. Competitive rivalry
3.3.5. Bargaining power among buyers
3.4. MARKET SHARE ANALYSIS/TOP PLAYER POSITIONING
3.4.1. Market share analysis/top player positioning 2018
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
CHAPTER 4: DIGITAL LENDING PLATFORM MARKET BY COMPONENT
4.1. OVERVIEW
4.2. SOFTWARE
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market Size and Forecast by region
4.2.3. Market share analysis, by country
4.3. SERVICE
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market Size and Forecast by region
4.3.3. Market share analysis, by country
CHAPTER 5: DIGITAL LENDING PLATFORM MARKET BY TYPE
5.1. OVERVIEW
5.2. LOAN ORIGINATION
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market Size and Forecast by region
5.2.3. Market share analysis, by country
5.3. DECISION AUTOMATION
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market Size and Forecast by region
5.3.3. Market share analysis, by country
5.4. COLLECTIONS AND RECOVERY
5.4.1. Key market trends, growth factors and opportunities
5.4.2. Market Size and Forecast by region
5.4.3. Market share analysis, by country
5.5. RISK AND COMPLIANCE MANAGEMENT
5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market Size and Forecast by region
5.5.3. Market share analysis, by country
5.6. OTHERS
5.6.1. Key market trends, growth factors and opportunities
5.6.2. Market Size and Forecast by region
5.6.3. Market share analysis, by country
CHAPTER 6: DIGITAL LENDING PLATFORM MARKET BY DEPLOYMENT MODEL
6.1. OVERVIEW
6.2. ON-PREMISE
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market Size and Forecast by region
6.2.3. Market share analysis, by country
6.3. CLOUD
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market Size and Forecast by region
6.3.3. Market share analysis, by country
CHAPTER 7: DIGITAL LENDING PLATFORM MARKET BY END-USER
7.1. OVERVIEW
7.2. BANKS
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market Size and Forecast by region
7.2.3. Market share analysis, by country
7.3. INSURANCE COMPANIES
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market Size and Forecast by region
7.3.3. Market share analysis, by country
7.4. CREDIT UNIONS
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market Size and Forecast by region
7.4.3. Market share analysis, by country
7.5. SAVINGS AND LOAN ASSOCIATIONS
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market Size and Forecast by region
7.5.3. Market share analysis, by country
7.6. PEER-TO-PEER LENDING
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market Size and Forecast by region
7.6.3. Market share analysis, by country
7.7. OTHERS
7.7.1. Key market trends, growth factors and opportunities
7.7.2. Market Size and Forecast by region
7.7.3. Market share analysis, by country
CHAPTER 8: DIGITAL LENDING PLATFORM MARKET BY REGION
8.1. OVERVIEW
8.2. NORTH AMERICA
8.2.1. Key market trends and opportunities
8.2.2. Market size and forecast by component
8.2.3. Market size and forecast by type
8.2.4. Market size and forecast by deployment model
8.2.5. Market size and forecast by end-user
8.2.6. Market size and forecast by Country
8.2.7. U.S. Digital Lending Platform Market
8.2.7.1. Market size and forecast by component
8.2.7.2. Market size and forecast by type
8.2.7.3. Market size and forecast by deployment model
8.2.7.4. Market size and forecast by end-user
8.2.8. Canada Digital Lending Platform Market
8.2.8.1. Market size and forecast by component
8.2.8.2. Market size and forecast by type
8.2.8.3. Market size and forecast by deployment model
8.2.8.4. Market size and forecast by end-user
8.3. EUROPE
8.3.1. Key market trends and opportunities
8.3.2. Market size and forecast by component
8.3.3. Market size and forecast by type
8.3.4. Market size and forecast by deployment model
8.3.5. Market size and forecast by end-user
8.3.6. Market size and forecast by Country
8.3.7. UK Digital Lending Platform Market
8.3.7.1. Market size and forecast by component
8.3.7.2. Market size and forecast by type
8.3.7.3. Market size and forecast by deployment model
8.3.7.4. Market size and forecast by end-user
8.3.8. Germany Digital Lending Platform Market
8.3.8.1. Market size and forecast by component
8.3.8.2. Market size and forecast by type
8.3.8.3. Market size and forecast by deployment model
8.3.8.4. Market size and forecast by end-user
8.3.9. France Digital Lending Platform Market
8.3.9.1. Market size and forecast by component
8.3.9.2. Market size and forecast by type
8.3.9.3. Market size and forecast by deployment model
8.3.9.4. Market size and forecast by end-user
8.3.10. Rest of Europe Digital Lending Platform Market
8.3.10.1. Market size and forecast by component
8.3.10.2. Market size and forecast by type
8.3.10.3. Market size and forecast by deployment model
8.3.10.4. Market size and forecast by end-user
8.4. ASIA-PACIFIC
8.4.1. Key market trends and opportunities
8.4.2. Market size and forecast by component
8.4.3. Market size and forecast by type
8.4.4. Market size and forecast by deployment model
8.4.5. Market size and forecast by end-user
8.4.6. Market size and forecast by Country
8.4.7. China Digital Lending Platform Market
8.4.7.1. Market size and forecast by component
8.4.7.2. Market size and forecast by type
8.4.7.3. Market size and forecast by deployment model
8.4.7.4. Market size and forecast by end-user
8.4.8. India Digital Lending Platform Market
8.4.8.1. Market size and forecast by component
8.4.8.2. Market size and forecast by type
8.4.8.3. Market size and forecast by deployment model
8.4.8.4. Market size and forecast by end-user
8.4.9. Japan Digital Lending Platform Market
8.4.9.1. Market size and forecast by component
8.4.9.2. Market size and forecast by type
8.4.9.3. Market size and forecast by deployment model
8.4.9.4. Market size and forecast by end-user
8.4.10. Rest of Asia-Pacific Digital Lending Platform Market
8.4.10.1. Market size and forecast by component
8.4.10.2. Market size and forecast by type
8.4.10.3. Market size and forecast by deployment model
8.4.10.4. Market size and forecast by end-user
8.5. LAMEA
8.5.1. Key market trends and opportunities
8.5.2. Market size and forecast by component
8.5.3. Market size and forecast by type
8.5.4. Market size and forecast by deployment model
8.5.4. Market size and forecast by end-user
8.5.5. Market size and forecast by Country
8.5.6. Latin America Digital Lending Platform Market
8.5.6.1. Market size and forecast by component
8.5.6.2. Market size and forecast by type
8.5.6.3. Market size and forecast by deployment model
8.5.6.4. Market size and forecast by end-user
8.5.8. Middle East Digital Lending Platform Market
8.5.8.1. Market size and forecast by component
8.5.8.2. Market size and forecast by type
8.5.8.3. Market size and forecast by deployment model
8.5.8.4. Market size and forecast by end-user
8.5.9. Africa Digital Lending Platform Market
8.5.9.1. Market size and forecast by component
8.5.9.2. Market size and forecast by type
8.5.9.3. Market size and forecast by deployment model
8.5.9.4. Market size and forecast by end-user
CHAPTER 9: COMPANY PROFILES
9.1. BLACK KNIGHT
9.1.1. Company overview
9.1.2. Business performance
9.1.3. Key strategic moves and developments
9.2. ELLIE MAE
9.2.1. Company overview
9.2.2. Business performance
9.2.3. Key strategic moves and developments
9.3. FINASTRA
9.3.1. Company overview
9.3.2. Business performance
9.3.3. Key strategic moves and developments
9.4. FIS GLOBAL
9.4.1. Company overview
9.4.2. Business performance
9.4.3. Key strategic moves and developments
9.5. FISERV
9.5.1. Company overview
9.5.2. Business performance
9.5.3. Key strategic moves and developments
9.6. INTELLECT DESIGN ARENA
9.6.1. Company overview
9.6.2. Business performance
9.6.3. Key strategic moves and developments
9.7. NUCLEUS SOFTWARE
9.7.1. Company overview
9.7.2. Business performance
9.7.3. Key strategic moves and developments
9.8. TAVANT TECHNOLOGIES
9.8.1. Company overview
9.8.2. Business performance
9.8.3. Key strategic moves and developments
9.9. TEMENOS
9.9.1. Company overview
9.9.2. Business performance
9.9.3. Key strategic moves and developments
9.10. WIPRO
9.10.1. Company overview
9.10.2. Business performance
9.10.3. Key strategic moves and developments
1.1. REPORT DESCRIPTION
1.2. KEY MARKET SEGMENTS
1.3. KEY BENEFITS
1.4. RESEARCH METHODOLOGY
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3: MARKET LANDSCAPE
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. PORTER'S FIVE FORCES ANALYSIS
3.3.1. Bargaining power of suppliers
3.3.2. Threat of new entrants
3.3.3. Threat of substitutes
3.3.4. Competitive rivalry
3.3.5. Bargaining power among buyers
3.4. MARKET SHARE ANALYSIS/TOP PLAYER POSITIONING
3.4.1. Market share analysis/top player positioning 2018
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
CHAPTER 4: DIGITAL LENDING PLATFORM MARKET BY COMPONENT
4.1. OVERVIEW
4.2. SOFTWARE
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market Size and Forecast by region
4.2.3. Market share analysis, by country
4.3. SERVICE
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market Size and Forecast by region
4.3.3. Market share analysis, by country
CHAPTER 5: DIGITAL LENDING PLATFORM MARKET BY TYPE
5.1. OVERVIEW
5.2. LOAN ORIGINATION
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market Size and Forecast by region
5.2.3. Market share analysis, by country
5.3. DECISION AUTOMATION
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market Size and Forecast by region
5.3.3. Market share analysis, by country
5.4. COLLECTIONS AND RECOVERY
5.4.1. Key market trends, growth factors and opportunities
5.4.2. Market Size and Forecast by region
5.4.3. Market share analysis, by country
5.5. RISK AND COMPLIANCE MANAGEMENT
5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market Size and Forecast by region
5.5.3. Market share analysis, by country
5.6. OTHERS
5.6.1. Key market trends, growth factors and opportunities
5.6.2. Market Size and Forecast by region
5.6.3. Market share analysis, by country
CHAPTER 6: DIGITAL LENDING PLATFORM MARKET BY DEPLOYMENT MODEL
6.1. OVERVIEW
6.2. ON-PREMISE
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market Size and Forecast by region
6.2.3. Market share analysis, by country
6.3. CLOUD
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market Size and Forecast by region
6.3.3. Market share analysis, by country
CHAPTER 7: DIGITAL LENDING PLATFORM MARKET BY END-USER
7.1. OVERVIEW
7.2. BANKS
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market Size and Forecast by region
7.2.3. Market share analysis, by country
7.3. INSURANCE COMPANIES
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market Size and Forecast by region
7.3.3. Market share analysis, by country
7.4. CREDIT UNIONS
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market Size and Forecast by region
7.4.3. Market share analysis, by country
7.5. SAVINGS AND LOAN ASSOCIATIONS
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market Size and Forecast by region
7.5.3. Market share analysis, by country
7.6. PEER-TO-PEER LENDING
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market Size and Forecast by region
7.6.3. Market share analysis, by country
7.7. OTHERS
7.7.1. Key market trends, growth factors and opportunities
7.7.2. Market Size and Forecast by region
7.7.3. Market share analysis, by country
CHAPTER 8: DIGITAL LENDING PLATFORM MARKET BY REGION
8.1. OVERVIEW
8.2. NORTH AMERICA
8.2.1. Key market trends and opportunities
8.2.2. Market size and forecast by component
8.2.3. Market size and forecast by type
8.2.4. Market size and forecast by deployment model
8.2.5. Market size and forecast by end-user
8.2.6. Market size and forecast by Country
8.2.7. U.S. Digital Lending Platform Market
8.2.7.1. Market size and forecast by component
8.2.7.2. Market size and forecast by type
8.2.7.3. Market size and forecast by deployment model
8.2.7.4. Market size and forecast by end-user
8.2.8. Canada Digital Lending Platform Market
8.2.8.1. Market size and forecast by component
8.2.8.2. Market size and forecast by type
8.2.8.3. Market size and forecast by deployment model
8.2.8.4. Market size and forecast by end-user
8.3. EUROPE
8.3.1. Key market trends and opportunities
8.3.2. Market size and forecast by component
8.3.3. Market size and forecast by type
8.3.4. Market size and forecast by deployment model
8.3.5. Market size and forecast by end-user
8.3.6. Market size and forecast by Country
8.3.7. UK Digital Lending Platform Market
8.3.7.1. Market size and forecast by component
8.3.7.2. Market size and forecast by type
8.3.7.3. Market size and forecast by deployment model
8.3.7.4. Market size and forecast by end-user
8.3.8. Germany Digital Lending Platform Market
8.3.8.1. Market size and forecast by component
8.3.8.2. Market size and forecast by type
8.3.8.3. Market size and forecast by deployment model
8.3.8.4. Market size and forecast by end-user
8.3.9. France Digital Lending Platform Market
8.3.9.1. Market size and forecast by component
8.3.9.2. Market size and forecast by type
8.3.9.3. Market size and forecast by deployment model
8.3.9.4. Market size and forecast by end-user
8.3.10. Rest of Europe Digital Lending Platform Market
8.3.10.1. Market size and forecast by component
8.3.10.2. Market size and forecast by type
8.3.10.3. Market size and forecast by deployment model
8.3.10.4. Market size and forecast by end-user
8.4. ASIA-PACIFIC
8.4.1. Key market trends and opportunities
8.4.2. Market size and forecast by component
8.4.3. Market size and forecast by type
8.4.4. Market size and forecast by deployment model
8.4.5. Market size and forecast by end-user
8.4.6. Market size and forecast by Country
8.4.7. China Digital Lending Platform Market
8.4.7.1. Market size and forecast by component
8.4.7.2. Market size and forecast by type
8.4.7.3. Market size and forecast by deployment model
8.4.7.4. Market size and forecast by end-user
8.4.8. India Digital Lending Platform Market
8.4.8.1. Market size and forecast by component
8.4.8.2. Market size and forecast by type
8.4.8.3. Market size and forecast by deployment model
8.4.8.4. Market size and forecast by end-user
8.4.9. Japan Digital Lending Platform Market
8.4.9.1. Market size and forecast by component
8.4.9.2. Market size and forecast by type
8.4.9.3. Market size and forecast by deployment model
8.4.9.4. Market size and forecast by end-user
8.4.10. Rest of Asia-Pacific Digital Lending Platform Market
8.4.10.1. Market size and forecast by component
8.4.10.2. Market size and forecast by type
8.4.10.3. Market size and forecast by deployment model
8.4.10.4. Market size and forecast by end-user
8.5. LAMEA
8.5.1. Key market trends and opportunities
8.5.2. Market size and forecast by component
8.5.3. Market size and forecast by type
8.5.4. Market size and forecast by deployment model
8.5.4. Market size and forecast by end-user
8.5.5. Market size and forecast by Country
8.5.6. Latin America Digital Lending Platform Market
8.5.6.1. Market size and forecast by component
8.5.6.2. Market size and forecast by type
8.5.6.3. Market size and forecast by deployment model
8.5.6.4. Market size and forecast by end-user
8.5.8. Middle East Digital Lending Platform Market
8.5.8.1. Market size and forecast by component
8.5.8.2. Market size and forecast by type
8.5.8.3. Market size and forecast by deployment model
8.5.8.4. Market size and forecast by end-user
8.5.9. Africa Digital Lending Platform Market
8.5.9.1. Market size and forecast by component
8.5.9.2. Market size and forecast by type
8.5.9.3. Market size and forecast by deployment model
8.5.9.4. Market size and forecast by end-user
CHAPTER 9: COMPANY PROFILES
9.1. BLACK KNIGHT
9.1.1. Company overview
9.1.2. Business performance
9.1.3. Key strategic moves and developments
9.2. ELLIE MAE
9.2.1. Company overview
9.2.2. Business performance
9.2.3. Key strategic moves and developments
9.3. FINASTRA
9.3.1. Company overview
9.3.2. Business performance
9.3.3. Key strategic moves and developments
9.4. FIS GLOBAL
9.4.1. Company overview
9.4.2. Business performance
9.4.3. Key strategic moves and developments
9.5. FISERV
9.5.1. Company overview
9.5.2. Business performance
9.5.3. Key strategic moves and developments
9.6. INTELLECT DESIGN ARENA
9.6.1. Company overview
9.6.2. Business performance
9.6.3. Key strategic moves and developments
9.7. NUCLEUS SOFTWARE
9.7.1. Company overview
9.7.2. Business performance
9.7.3. Key strategic moves and developments
9.8. TAVANT TECHNOLOGIES
9.8.1. Company overview
9.8.2. Business performance
9.8.3. Key strategic moves and developments
9.9. TEMENOS
9.9.1. Company overview
9.9.2. Business performance
9.9.3. Key strategic moves and developments
9.10. WIPRO
9.10.1. Company overview
9.10.2. Business performance
9.10.3. Key strategic moves and developments
Note: Product cover images may vary from those shown
According to the report titled, 'Digital Lending Platform Market by Component, Type, Deployment Model, and End-User: Global Opportunity Analysis and Industry Forecast, 2019-2026,' the global market was valued at $4,798.28 million in 2018, and the digital lending platform market forecast is projected reach $19,884.51 million by 2026, registering a CAGR of 19.6% from 2019 to 2026.
Digital lending platforms have enabled borrowers and lenders to lend money through paperless or electronic means, offering ease of use, enhanced consumer experience, and reduced overhead through customer verification time-savings. The growth of digital lending platform market can be attributed to continuous rise in the digital lending landscape among both developed and developing economies. The technology has made way for several opportunities for lenders to focus and manage loan processes in an automated manner and allow its customers to apply and receive loans easily. Moreover, rise in government initiatives for online lending, and increase in number of start-ups in developing economies positively impact the market growth. However, security issues associated with digital lending platforms hinder the growth of the digital lending platform market. The market has seen continuous innovations as recently Tavant announced the integration between AI-powered digital lending platform, and Optimal Blue’s industry-leading product eligibility and pricing engine. The integration provides capabilities to loan originators for multi-system product and pricing distribution to provide its customers a more personalized and customized exchange; thus, reducing the amount of manual intervention, and data accuracy across the supported loan process.
The on-premise segment dominated the digital lending platform market in 2018 and is projected to maintain its dominance during the forecast period, owing to its superior capabilities, such as better management of servers, and high data security. Furthermore, the cloud-based segment is expected to grow at a significant CAGR during the forecast period. Adopting a cloud strategy offers them several numbers of key benefits for businesses in the digital lending industry such as ease of implementation, low cost, and unlimited accessibility. Furthermore, cloud-based flexible integration eliminates the need for manual verification of credit and financial information, identity and vital records, and employment or business registration information. These significant time-savings can be applied to processing in a greater number of loan applications and approvals.
The global digital lending platform market was led by the banks segment in 2018 and is projected to maintain its dominance during the forecast period. However, the peer-to-peer lending segment is expected to witness the highest growth rate, owing to the significant growth of P2P lending among SMEs to get business loans in rapid manner. For instance, according to the British Banking Association, P2P business lending recorded sanctioning of 15% of new small businesses loans.
Based on region, the global digital lending platform market was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors driving the growth of the digital lending platform market in this region include high fintech investments, and well-established BFSI industry in the region. However, Asia-Pacific is expected to witness the highest growth, owing to rise of the digital lending landscape supported by increase in number of start-ups, and several government initiatives across the developing countries such as China, India, and Japan, in the region.
According to Pramod Borasi, Research Analyst, ICT, “India is expected to exhibit fastest growth during the forecast period, owing to significant increase in digital lending, supported by enabling policy of e-KYC and the formalization and acceptance of the Indian credit rating system.”
Key Findings of the Digital Lending Platform Market:
Based on component, the software segment led the digital lending platform market analysis in terms of revenue in 2018.
By deployment model, the on-premise accounted for the highest digital lending platform market share in 2018.
Based on region, North America generated the highest revenue in 2018.
Depending on end-user, the peer-to-peer lending segment is anticipated to exhibit substantial growth during the forecast period.
Based on region, Asia-Pacific is anticipated to exhibit substantial growth during the forecast period.
The global digital lending platform industry analysis include some of the key market players such as Black Knight, Ellie MAE, Finastra, FIS Global, Fiserv, Intellect Design Arena, Nucleus Software, Tavant Technologies, Temenos, and Wipro.
Digital lending platforms have enabled borrowers and lenders to lend money through paperless or electronic means, offering ease of use, enhanced consumer experience, and reduced overhead through customer verification time-savings. The growth of digital lending platform market can be attributed to continuous rise in the digital lending landscape among both developed and developing economies. The technology has made way for several opportunities for lenders to focus and manage loan processes in an automated manner and allow its customers to apply and receive loans easily. Moreover, rise in government initiatives for online lending, and increase in number of start-ups in developing economies positively impact the market growth. However, security issues associated with digital lending platforms hinder the growth of the digital lending platform market. The market has seen continuous innovations as recently Tavant announced the integration between AI-powered digital lending platform, and Optimal Blue’s industry-leading product eligibility and pricing engine. The integration provides capabilities to loan originators for multi-system product and pricing distribution to provide its customers a more personalized and customized exchange; thus, reducing the amount of manual intervention, and data accuracy across the supported loan process.
The on-premise segment dominated the digital lending platform market in 2018 and is projected to maintain its dominance during the forecast period, owing to its superior capabilities, such as better management of servers, and high data security. Furthermore, the cloud-based segment is expected to grow at a significant CAGR during the forecast period. Adopting a cloud strategy offers them several numbers of key benefits for businesses in the digital lending industry such as ease of implementation, low cost, and unlimited accessibility. Furthermore, cloud-based flexible integration eliminates the need for manual verification of credit and financial information, identity and vital records, and employment or business registration information. These significant time-savings can be applied to processing in a greater number of loan applications and approvals.
The global digital lending platform market was led by the banks segment in 2018 and is projected to maintain its dominance during the forecast period. However, the peer-to-peer lending segment is expected to witness the highest growth rate, owing to the significant growth of P2P lending among SMEs to get business loans in rapid manner. For instance, according to the British Banking Association, P2P business lending recorded sanctioning of 15% of new small businesses loans.
Based on region, the global digital lending platform market was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors driving the growth of the digital lending platform market in this region include high fintech investments, and well-established BFSI industry in the region. However, Asia-Pacific is expected to witness the highest growth, owing to rise of the digital lending landscape supported by increase in number of start-ups, and several government initiatives across the developing countries such as China, India, and Japan, in the region.
According to Pramod Borasi, Research Analyst, ICT, “India is expected to exhibit fastest growth during the forecast period, owing to significant increase in digital lending, supported by enabling policy of e-KYC and the formalization and acceptance of the Indian credit rating system.”
Key Findings of the Digital Lending Platform Market:
Based on component, the software segment led the digital lending platform market analysis in terms of revenue in 2018.
By deployment model, the on-premise accounted for the highest digital lending platform market share in 2018.
Based on region, North America generated the highest revenue in 2018.
Depending on end-user, the peer-to-peer lending segment is anticipated to exhibit substantial growth during the forecast period.
Based on region, Asia-Pacific is anticipated to exhibit substantial growth during the forecast period.
The global digital lending platform industry analysis include some of the key market players such as Black Knight, Ellie MAE, Finastra, FIS Global, Fiserv, Intellect Design Arena, Nucleus Software, Tavant Technologies, Temenos, and Wipro.
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The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
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