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Global LendTech Market to reach USD 42.46 billion by the end of 2029.

Global LendTech Market Size study & Forecast, by Component (Solution, Services), by Deployment Mode (On-Premises, Cloud), by Type (Consumer Lending, Business Lending), by Organization Size (Large Enterprises, Small and Medium-sized Enterprises), by End-User (Banks, Credit Unions, NBFCs) and Regional Analysis, 2022-2029

Product Code: ICTICTS-92619424
Publish Date: 17-04-2023
Page: 200

Global LendTech Market is valued at approximately USD 8 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 23.2% over the forecast period 2022-2029. LendTech refers to the application of an intuitive loan point-of-sale platform from banks, credit unions, and private lenders connecting to borrowers. There are certain benefits offered by digital lending platforms, including improved loan optimization, quicker decision-making, compliance with regulations and norms, and greater company efficiency. The increasing unmet financing needs of SMEs and growing internet penetration and adoption of smartphone devices are key factors driving the market growth.

With the rise of startup culture, the unmet financing needs of SMEs are increasing which is likely to drive the adoption of LendTech platforms and services over the forecast period. For instance – as per International Finance Corporation (IFC) estimates, 65 million businesses, or 40% of formal micro, small, and medium-sized enterprises (MSMEs) in developing nations, have an annual unmet financing need of $5.2 trillion, or 1.4 times the amount of worldwide MSME lending at present. The largest portion of the global finance gap (46%) is accounted for by East Asia and the Pacific, which is followed by Latin America and the Caribbean (23%) and Europe and Central Asia (15%). The gap volume varies greatly from one place to another. Particularly in the Middle East and North Africa, Latin America, the Caribbean, and the Caribbean have the largest ratios of the funding gap to potential demand, 87% and 88%, respectively. Also, growing digitization in BFSI sector and rising adoption of cloud services and automation in the lending process would create a lucrative growth prospectus for the market over the forecast period. However, the high cost of LendTech platforms and services stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global LendTech Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the increasing spending on digitization from leading banks and credit unions as well as presence of leading market players in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising expansion of digital banking units and growing emergence of private sector banks and non-banking financial institutions in the region.

Major market players included in this report are:
Visa Inc.
American Express Company
Q2 Software, Inc.
Newgen Software Technologies Limited
Pegasystems Inc.
Fiserv, Inc.
Nelito Systems Pvt. Ltd.
Roostify, Inc.

Recent Developments in the Market:
Ø In January 2023, BUSINESSNEXT, launched its cloud-based Digital Lending Platform 3.0. Leveraging AI-driven automation, code-less digital journey designers, and private cloud landing zones. The platform aims to provide end-to-end modernized lending solutions with absolute regulatory compliance to deliver a superfast lending experience for banks and NBFCs.

Global LendTech Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Deployment Mode, Type, Organization Size, End-User, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component

By Deployment Mode

By Type
Consumer Lending
Business Lending

By Organization Size
Large Enterprises
Small and Medium-sized Enterprises

By End-User
Credit Unions

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. LendTech Market, by Region, 2019-2029 (USD Billion)
1.2.2. LendTech Market, by Component, 2019-2029 (USD Billion)
1.2.3. LendTech Market, by Deployment Mode, 2019-2029 (USD Billion)
1.2.4. LendTech Market, by Type, 2019-2029 (USD Billion)
1.2.5. LendTech Market, by Organization Size, 2019-2029 (USD Billion)
1.2.6. LendTech Market, by End-User, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global LendTech Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global LendTech Market Dynamics
3.1. LendTech Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing unmet financing needs of SMEs Growing internet penetration and adoption of smartphone devices
3.1.2. Market Challenges High Cost of LendTech platforms
3.1.3. Market Opportunities Growing digitization in BFSI sector Rising adoption of cloud services and automation in the lending process
Chapter 4. Global LendTech Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global LendTech Market, by Component
6.1. Market Snapshot
6.2. Global LendTech Market by Component, Performance – Potential Analysis
6.3. Global LendTech Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. LendTech Market, Sub Segment Analysis
6.4.1. Solution
6.4.2. Services
Chapter 7. Global LendTech Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global LendTech Market by Deployment Mode, Performance – Potential Analysis
7.3. Global LendTech Market Estimates & Forecasts by Deployment Mode 2019-2029 (USD Billion)
7.4. LendTech Market, Sub Segment Analysis
7.4.1. On premises
7.4.2. Cloud
Chapter 8. Global LendTech Market, by Type
8.1. Market Snapshot
8.2. Global LendTech Market by Type, Performance – Potential Analysis
8.3. Global LendTech Market Estimates & Forecasts by Type 2019-2029 (USD Billion)
8.4. LendTech Market, Sub Segment Analysis
8.4.1. Consumer Lending
8.4.2. Business Lending
Chapter 9. Global LendTech Market, by Organization Size
9.1. Market Snapshot
9.2. Global LendTech Market by Organization Size, Performance – Potential Analysis
9.3. Global LendTech Market Estimates & Forecasts by Organization Size 2019-2029 (USD Billion)
9.4. LendTech Market, Sub Segment Analysis
9.4.1. Large Enterprises
9.4.2. Small & Medium Enterprises
Chapter 10. Global LendTech Market, by End-User
10.1. Market Snapshot
10.2. Global LendTech Market by End-User, Performance – Potential Analysis
10.3. Global LendTech Market Estimates & Forecasts by End-User 2019-2029 (USD Billion)
10.4. LendTech Market, Sub Segment Analysis
10.4.1. Banks
10.4.2. Credit Unions
10.4.3. NBFCs
Chapter 11. Global LendTech Market, Regional Analysis
11.1. LendTech Market, Regional Market Snapshot
11.2. North America LendTech Market
11.2.1. U.S. LendTech Market Component breakdown estimates & forecasts, 2019-2029 Deployment Mode breakdown estimates & forecasts, 2019-2029 Type breakdown estimates & forecasts, 2019-2029 Organization Size breakdown estimates & forecasts, 2019-2029 End-User breakdown estimates & forecasts, 2019-2029
11.2.2. Canada LendTech Market
11.3. Europe LendTech Market Snapshot
11.3.1. U.K. LendTech Market
11.3.2. Germany LendTech Market
11.3.3. France LendTech Market
11.3.4. Spain LendTech Market
11.3.5. Italy LendTech Market
11.3.6. Rest of Europe LendTech Market
11.4. Asia-Pacific LendTech Market Snapshot
11.4.1. China LendTech Market
11.4.2. India LendTech Market
11.4.3. Japan LendTech Market
11.4.4. Australia LendTech Market
11.4.5. South Korea LendTech Market
11.4.6. Rest of Asia Pacific LendTech Market
11.5. Latin America LendTech Market Snapshot
11.5.1. Brazil LendTech Market
11.5.2. Mexico LendTech Market
11.5.3. Rest of Latin America LendTech Market
11.6. Rest of The World LendTech Market

Chapter 12. Competitive Intelligence
12.1. Top Market Strategies
12.2. Company Profiles
12.2.1. Visa Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
12.2.2. American Express Company
12.2.3. Finastra
12.2.4. Q2 Software, Inc.
12.2.5. Newgen Software Technologies Limited
12.2.6. Fis
12.2.7. Pegasystems Inc.
12.2.8. Fiserv, Inc.
12.2.9. Nelito Systems Pvt. Ltd.
12.2.10. Roostify, Inc.
Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.2. Research Attributes
13.3. Research Assumption

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Data Collection:
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Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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