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Global Digital Lending Platform Market
Market Size in USD Billion
CAGR :
%
USD
20,215.23 Million
USD
83,505.16 Million
2022
2030
Forecast Period
2023 –2030
Market Size(Base Year)
USD
20,215.23 Million
Market Size (Forecast Year)
USD
83,505.16 Million
CAGR
19.40
%
Major Markets Players
General Electric
IBM
PTC
Microsoft
Siemens AG
Global Digital Lending Platform Market, By Component (Solutions, Services), Deployment Model (On Premises, Cloud), Loan Amount Size (Less than US$ 7,000, US$ 7,001 to US$ 20,000, More than US$ 20,001), Subscription Type (Free, Paid), Loan Type (Automotive Loan, SME Finance Loan, Personal Loan, Home Loan, Consumer Durable, Others), Vertical (Banking, Financial Services, Insurance Companies, P2P (Peer-to-Peer) Lenders, Credit Unions, Saving and Loan Associations) – Industry Trends and Forecast to 2030.
Digital Lending Platform Market Analysis and Size
Several companies are currently introducing next-generation, end-to-end cloud-based lending platforms. Furthermore, advances in payment trends are encouraging financial institutions to implement DLP in order to improve productivity, increase revenue, and provide quick services.
Data Bridge Market Research analyses that the global digital lending platform market which was USD 20,215.23 million in 2022, is expected to reach USD 83,505.16 million by 2030, and is expected to undergo a CAGR of 19.4% during the forecast period of 2023 to 2030. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Digital Lending Platform Market Scope and Segmentation
Report Metric
Details
Forecast Period
2023 to 2030
Base Year
2022
Historic Years
2021 (Customizable Years 2015-2020)
Quantitative Units
Revenue in USD Million, Pricing in USD
Segments Covered
Component (Solutions, Services), Deployment Model (On Premises, Cloud), Loan Amount Size (Less than US$ 7,000, US$ 7,001 to US$ 20,000, More than US$ 20,001), Subscription Type (Free, Paid), Loan Type (Automotive Loan, SME Finance Loan, Personal Loan, Home Loan, Consumer Durable, Others), Vertical (Banking, Financial Services, Insurance Companies, P2P (Peer-to-Peer) Lenders, Credit Unions, Saving and Loan Associations)
Countries Covered
U.S., Canada, Mexico, Germany, France, U.K., Italy, Spain, Switzerland, Netherlands, Russia, Turkey, Belgium, Rest of Europe, Japan, China, South Korea, India, Australia and New Zealand, Singapore, Thailand, Malaysia, Indonesia, Philippines, Rest of Asia-Pacific, South Africa, Israel, U.A.E., Saudi Arabia, Egypt, Rest of Middle East and Africa, Brazil, Argentina and Rest of South America
Market Players Covered
General Electric (U.S.), IBM (U.S.), PTC (U.S.), Microsoft (U.S.), Siemens AG (Germany), ANSYS, Inc (U.S.), SAP SE (Germany), Oracle (U.S.), Robert Bosch GmbH (Germany), Swim.ai, Inc. (U.S.)., Atos SE (France), ABB (Switzerland), KELLTON TECH (India), AVEVA Group plc (U.K.), DXC Technology Company (U.S.), Altair Engineering, Inc (U.S.), Hexaware Technologies Limited (India), Tata Consultancy Services Limited (India), Infosys Limited (Bengaluru), NTT DATA, Inc. (Japan), TIBCO Software Inc. (U.S.)
Market Opportunities
Emerging technologies such as AI, machine learning and block chains
Increased investments in technological advancements and innovations
Market Definition
The digital lending platform enables lenders and borrowers to lend money in a digital or electronic format, resulting in greater ease of use, a better user experience, and lower overhead due to client verification time savings. User registration is the first step in the process, which is followed by online documentation collection, client authentication and verification, loan approval, loan distribution, and loan recovery. The loan process is very hectic with lots of prerequisites and paperwork. Digital lending platform has broken those hurdles and simplified the process to such a level that a person only needs internet access to open the platform, submit the documents, and get a loan within a few minutes. The integrated automation in the loan process makes the process faster and even decreases operational cost. The digital lending platform provides high benefits compared to traditional methods, acting as major for the market growth in upcoming years.
Global Digital Lending Platform Market Dynamics
Drivers
Surge in Adoption of Online Banking Services
Globalization and the growing popularity of online banking services, lending processes are rapidly becoming digital. This is one of the most important factors influencing the use of DLP in the banking, financial services, and insurance (BFSI) industry for better decisions, better customer experiences, and significant cost savings. Furthermore, as a result of the coronavirus disease (COVID-19) outbreak, financial institutions all over the world are increasingly turning to digital channels for lending loans and dealing with pandemic challenges
Rising Smartphone Penetration around the World
DLP provides the benefits of e-signing and easy accessibility, while the increasing reliance on smartphones and the rate of internet penetration are also driving market growth. Furthermore, the growing emphasis on digital automation contributes to global market growth because DLP requires minimal paperwork, reducing the likelihood of human errors. Several companies are also integrating advanced technologies to mitigate fraud, such as block chain, artificial intelligence (AI), machine learning, and analytics, which is fueling market growth. Furthermore, the increasing prevalence of cyber threats is hastening its global adoption
Opportunity
Emerging Technologies such as AI, Machine Learning and Block Chains
Artificial intelligence, machine learning, and block chain are among the emerging technologies expected to enhance digital lending platforms' capabilities and open up new growth opportunities. Integrating these technologies allows for a simple, quick, and transparent loan-raising process. AI and machine learning-based algorithms can process loan applications in seconds, making the approval process truly scalable. Furthermore, by eliminating intermediaries or middlemen from the lending process, the block chain-based lending platform establishes a direct relationship between lenders and borrowers
Restraint/Challenge
Data Security Concerns Related to Digital Lending Platforms
Data security and privacy protection are expected to limit market growth. Several governments around the world have already begun efforts to address concerns about data security and privacy protection associated with digital lending platforms
This global digital lending platform market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the global digital lending platform market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Developments
In July 2021, Newgen Software launched its new digital transformation platform, NewgenONE. The platform aids in the management of unstructured data and the enhancement of customer engagement
In June 2021, TPBank of Vietnam collaborated with Nucleus Software to enhance its digital commerce. FinnOne Neo assisted TPBank in providing instant digital loans, increasing process efficiency, and improving credit assessments
Global Digital Lending Platform Market Scope
The digital lending platform market is segmented on the basis of component, deployment model, loan amount size, subscription type, loan type and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
Software
Services
Loan Amount Size
Less than US$ 7,000
US$ 7,001 to US$ 20,000
More than US$ 20,001
Deployment Model
On-premise
Cloud
Subscription Type
Free
Paid
Loan Type
Automotive Loan
SME Finance Loan
Personal Loan
Home Loan
Consumer Durable
Others
Vertical
Banking
Financial Services
Insurance Companies
P2P (Peer-to-Peer) Lenders
Credit Unions
Saving
Loan Associations
Global Digital Lending Platform Market Regional Analysis/Insights
Global digital lending platform market is analyzed and market size insights and trends are provided by component, deployment model, loan amount size, subscription type, loan type and vertical as referenced above.
The countries covered in the digital lending platform market report are U.S., Canada, Mexico, Germany, France, U.K., Italy, Spain, Switzerland, Netherlands, Russia, Turkey, Belgium, Rest of Europe, Japan, China, South Korea, India, Australia and New Zealand, Singapore, Thailand, Malaysia, Indonesia, Philippines, Rest of Asia-Pacific, South Africa, Israel, U.A.E., Saudi Arabia, Egypt, Rest of Middle East and Africa, Brazil, Argentina and Rest of South America.
North America dominates the digital lending platform market because of strong presence of major players such as FIS and Fiserv, Inc., which provide various lending solutions on single platform in this region. Furthermore, the growing adoption of this technology in the U.S. and Canada will further enhance the market growth in this region.
Asia-Pacific is expected to grow with the highest CAGR from 2023 to 2030 because of the significant demand for digital lending platform for loan originations in this region. China is the market leader in the Asia-Pacific region due to the expansion of banks in the area which will further boost the market growth in this region.
The country section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as down-stream and up-stream value chain analysis, technical trends, and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Asia-Pacific brands and the challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Global Digital Lending Platform Market Share Analysis
The digital lending platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Asia-Pacific presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance. The above data points provided are only related to the company’s focus related to digital lending platform market.
Some of the major players operating in the digital lending platform market are:
General Electric (U.S.)
IBM (U.S.)
PTC (U.S.)
Microsoft (U.S.)
Siemens AG (Germany)
ANSYS, Inc (U.S.)
SAP SE (Germany)
Oracle (U.S.)
Robert Bosch GmbH (Germany)
Swim.ai, Inc. (U.S.)
Atos SE (France)
ABB (Switzerland)
KELLTON TECH (India)
AVEVA Group plc (U.K.)
DXC Technology Company (U.S.)
Altair Engineering, Inc (U.S.)
Hexaware Technologies Limited (India)
Tata Consultancy Services Limited (India)
Infosys Limited (Bengaluru)
NTT DATA, Inc. (Japan)
TIBCO Software Inc. (U.S.)
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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