数位借贷平台的世界市场规模,各零件,各部署模式,各商业模式,各产品,各用途,COVID-19影响的分析,成长可能性,地区预测,竞争的市场占有率,预测(2023年~2032年)
市场调查报告书
商品编码
1157298

数位借贷平台的世界市场规模,各零件,各部署模式,各商业模式,各产品,各用途,COVID-19影响的分析,成长可能性,地区预测,竞争的市场占有率,预测(2023年~2032年)

Digital Lending Platform Market Size By Component, By Deployment Model, By Business Model, By Product, By Application, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3个工作天内

价格
简介目录

全球数位借贷平台市场,预计至2032年记录大的成长。

本报告提供全球数位借贷平台市场相关调查分析,产业的考察,市场区隔分析,地区分析,企业简介等资讯。

目录

第1章 调查手法和范围

第2章 摘要整理

第3章 数位借贷平台产业的考察

  • 简介
  • COVID-19发生的影响
    • 各地区
    • 为了取回COVID前的等级的成长的主要企业策略
  • 俄罗斯、乌克兰战争的影响分析
  • 数位借贷平台产业的生态系统分析
    • 数位借贷平台供应商
    • 数位借贷服务供应商
    • 云端服务供应商
    • 系统厂商
    • 销售商
    • 终端用户
    • 相关利益者的报酬率分析
    • 供应商矩阵
  • 技术和革新的形势
    • 人工智慧
    • 预测分析
    • 区块链
    • 生物识别
    • API
    • 人类数位介面
  • 专利分析
  • 投资组合
  • 产业新闻
    • 北美
    • 欧洲
    • 亚太地区
    • 南美
    • 中东、非洲
  • 法规形势
    • 北美
    • 欧洲
    • 亚太地区
    • 南美
    • 中东、非洲
  • 数位借贷平台对传统的融资
  • 产业的影响要素
    • 成长促进因素
    • 产业的潜在的风险、课题
  • 成长可能性分析
  • 波特的五力分析
  • PESTEL分析

第4章 竞争情形(2022年)

  • 简介
  • 企业的市场占有率(收益)(2022年)
    • 主要的数位借贷平台企业的竞争分析(2022年)
    • 市场创新者的竞争分析(2022年)
    • 供应商采用矩阵
    • 策略性预测矩阵

第5章 数位借贷平台市场:各零件

  • 主要趋势:各零件
  • 解决方案
    • 市场估计与预测(2018年~2032年)
    • 贷款起源系统(LOS)
    • 贷款管理系统
    • 风险、遵守管理系统
    • POS系统
    • 贷款分析
    • 收集、回收系统
    • 其他
  • 服务
    • 市场估计与预测(2018年~2032年)
    • 支援、维修
    • 设计、实行
    • 训练、教育
    • 风险评估
    • 咨询

第6章 数位借贷平台市场:各部署

  • 主要趋势:各部署
  • 内部部署
  • 云端

第7章 数位借贷平台市场:各商业模式

  • 主要趋势:各商业模式
  • 客户主导
  • 职员主导

第8章 数位借贷平台市场:各产品

  • 主要趋势:各产品
  • 个人用贷款
  • 汽车贷款
  • 中小企业导向贷款
  • 房屋抵押贷款

第9章 数位借贷平台市场:各用途

  • 主要趋势:各产品
  • 银行、NBFC
  • 信用合作社
  • 金融科技企业
  • P2P贷方

第10章 数位借贷平台市场:各地区

  • 主要趋势:各地区
  • 北美
    • 市场估计与预测(2018年~2032年)
    • 市场估计与预测:各零件(2018年~2032年)
    • 市场估计与预测:各部署(2018年~2032年)
    • 市场估计与预测:各商业模式(2018年~2032年)
    • 市场估计与预测:各产品(2018年~2032年)
    • 市场估计与预测:各用途(2018年~2032年)
    • 美国
    • 加拿大
  • 欧洲
    • 市场估计与预测(2018年~2032年)
    • 市场估计与预测:各零件(2018年~2032年)
    • 市场估计与预测:各部署(2018年~2032年)
    • 市场估计与预测:各商业模式(2018年~2032年)
    • 市场估计与预测:各产品(2018年~2032年)
    • 市场估计与预测:各用途(2018年~2032年)
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 瑞士
  • 亚太地区
    • 市场估计与预测(2018年~2032年)
    • 市场估计与预测:各零件(2018年~2032年)
    • 市场估计与预测:各部署(2018年~2032年)
    • 市场估计与预测:各商业模式(2018年~2032年)
    • 市场估计与预测:各产品(2018年~2032年)
    • 市场估计与预测:各用途(2018年~2032年)
    • 澳洲
    • 中国
    • 印度
    • 日本
    • 韩国
    • 东南亚
  • 南美
    • 市场估计与预测(2018年~2032年)
    • 市场估计与预测:各零件(2018年~2032年)
    • 市场估计与预测:各部署(2018年~2032年)
    • 市场估计与预测:各商业模式(2018年~2032年)
    • 市场估计与预测:各产品(2018年~2032年)
    • 市场估计与预测:各用途(2018年~2032年)
    • 阿根廷
    • 哥伦比亚
    • 巴西
    • 墨西哥
  • 中东、非洲
    • 市场估计与预测(2018年~2032年)
    • 市场估计与预测:各零件(2018年~2032年)
    • 市场估计与预测:各部署(2018年~2032年)
    • 市场估计与预测:各商业模式(2018年~2032年)
    • 市场估计与预测:各产品(2018年~2032年)
    • 市场估计与预测:各用途(2018年~2032年)
    • 沙乌地阿拉伯
    • 南非
    • 阿拉伯联合大公国

第11章 企业简介

  • ARGO Data Resource Corporation
  • Base-Net Informatik AG
  • Built Technologies, Inc.
  • CU Direct
  • Decimal Technologies Pvt. Ltd.
  • Docutech LLC
  • Ellie Mae, Inc.
  • Finantix Pro SRL
  • Finastra
  • Fidelity National Information Services (FIS), Inc.
  • Fiserv Inc.
  • Intellect Design Arena Ltd.
  • Juristech Sdn Bhd
  • Loanboox (Swiss Fintech AG)
  • Mambu GmbH
  • Newgen Software Technologies Limited
  • Nucleus Software Exports Ltd.
  • Pegasystems, Inc.
  • Roostify
  • Sageworks (Abrigo)
  • Sigma Infosolutions
  • Symitar
  • Tavant
  • Temenos AG
  • Teylor AG
  • Turnkey Lender
简介目录
Product Code: 3019

The digital lending platform market is anticipated to record sizeable growth over 2032. Digital lending and digital mortgage have emerged as prominent concepts in the field of online banking. Over the past few years, the financial sector has undergone rapid digitization with the emergence of novel banking needs.

Digital mortgage is rapidly replacing traditional loan processing systems as it provides a holistic experience to lenders as well as borrowers. Lenders are increasingly implementing modern digital mortgage strategies across targeted marketing, auditing, loan closing, and lead generation activities. Owing to the ease and level of sophistication, a combination of hyper-automated tools, big data analytics, and real-time digital mortgage applications are gaining demand among businesses.

In November 2022, Navi Technologies, an Indian financial service provider, unveiled its cloud-based real-time co-lending platform, called Navi Lending Cloud (NLC). The platform aims to support direct assignment collaboration and digital management co-lending with banks and NBFCs.

The digital lending platform market is classified into component, solutions, service, deployment, business model, product, application, and region.

Based on solution, Point of Sale (POS) systems held more than a 10% share of the digital lending platform industry in 2022. POS systems enable lenders to source and validate documents and e-signatures of credit customers and facilitate conditional decisions instantly. Advancements in mortgage POS systems allow lenders to process loans more efficiently and manage large volumes of data regarding lending rates, borrower behavior, and risks.

In terms of service, the digital lending platform market share from design & implementation is anticipated to record over 21.5% CAGR from 2023-2032. Design and implementation service providers are expected to address the growing need for robust and validated digital asset management processes. Technological advancements and rapid integration of artificial intelligence (AI) will enable the automation of services pertaining to the design & implementation of digital lending platforms.

By deployment, the market landscape is fragmented into cloud and on-premise deployment. The cloud segment is projected to exhibit over 20% CAGR through 2032. Due to low maintenance features and cost-effectiveness, cloud-based digital lending is picking up pace. Increasing demand for fast processing, documentation storage, and reduced cost and time consumption associated with loan processing will proliferate cloud-based digital lending platforms.

With regards to the business model, the industry is segregated into staff-driven, and customer driven. The staff-driven segment is expected to witness promising growth between 2023-2032. Digital lending platforms cater to staff needs including loan disbursement, customer acquisition, and repayment. Growing end-user requirements to reduce the risk of fraud, and improve loan processing efficiencies will accelerate the segment growth.

Based on product, mortgage loan accounted for more than 15% share of the digital lending platform in 2022. Large mortgage banks are increasingly implementing digital strategies and technologies to boost the traction of credit seekers for mortgage loan. Digital mortgage solutions reduce costs per loan, allowing considerable savings. The influx of smart technologies will advance the capabilities of mortgage lifecycles on digital lending platforms.

From a regional perspective, North America digital lending platform market share was more than 38% in 2022. Rapid digitization of banking services in the region has resulted in the acquisition of open-banking platforms. A large number of fintech giants in the U.S. and Canada are ramping up efforts to digitize lending processes and safeguard financial services. For instance, in September 2022, J.P. Morgan announced plans to acquire Renovite Technologies, Inc., a cloud-native payments technology firm to modernize payment infrastructure.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Scope & definitions
  • 1.2 Methodology and forecast parameters
  • 1.3 COVID-19 impact
    • 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 Impact of Russia Ukraine crisis
  • 1.5 Data Sources
    • 1.5.1 Secondary
    • 1.5.2 Primary
  • 1.6 Glossary

Chapter 2 Executive Summary

  • 2.1 Digital lending platform industry 360 degree synopsis, 2018 - 2032
  • 2.2 Business trends
    • 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
  • 2.3 Regional trends
  • 2.4 Solution trends
  • 2.5 Application trends
  • 2.6 Component trends
  • 2.7 Deployment trends
  • 2.8 Business model trends
  • 2.9 Product trends
  • 2.10 Application trends

Chapter 3 Digital Lending Platform Industry Insights

  • 3.1 Introduction
  • 3.2 Impact of COVID-19 outbreak
    • 3.2.1 By region
      • 3.2.1.1 North America
      • 3.2.1.2 Europe
      • 3.2.1.3 Asia Pacific
      • 3.2.1.4 Latin America
      • 3.2.1.5 Middle East & Africa
    • 3.2.2 Strategies by major players to regain pre-COVID level growth
  • 3.3 Impact analysis of Russia-Ukraine war
  • 3.4 Digital lending platform industry 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
    • 3.4.7 Stakeholder profit margin analysis
    • 3.4.8 Vendor matrix
  • 3.5 Technology & 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 Industry news
    • 3.8.1 North America
    • 3.8.2 Europe
    • 3.8.3 Asia Pacific
    • 3.8.4 Latin America
    • 3.8.5 Middle East & Africa
  • 3.9 Regulatory landscape
    • 3.9.1 North America
    • 3.9.2 Europe
    • 3.9.3 Asia Pacific
    • 3.9.4 Latin America
    • 3.9.5 MEA
  • 3.10 Digital lending platform Vs traditional lending
  • 3.11 Industry impact forces
    • 3.11.1 Growth drivers
      • 3.11.1.1 Increasing digitalization
      • 3.11.1.2 Adoption of digital channels to improve customer experience
      • 3.11.1.3 Rise in usage of smartphones for banking applications
      • 3.11.1.4 A rise in the adoption of blockchain and AI-based digital lending platforms
      • 3.11.1.5 Favorable government regulations for digital lending
    • 3.11.2 Industry pitfalls & challenges
      • 3.11.2.1 High dependence on traditional lending methods
      • 3.11.2.2 Rising cybersecurity concerns among organizations
      • 3.11.2.3 Lack of digital literacy in developing countries
  • 3.12 Growth potential analysis
  • 3.13 Porter's analysis
    • 3.13.1 Bargaining power of suppliers
    • 3.13.2 Bargaining power of buyers
    • 3.13.3 The threat of new entrants
    • 3.13.4 The threat of substitute
    • 3.13.5 Competitive rivalry
  • 3.14 PESTEL analysis
    • 3.14.1 Political
    • 3.14.2 Economic
    • 3.14.3 Social
    • 3.14.4 Technological
    • 3.14.5 Legal
    • 3.14.6 Environmental

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Company market share, by revenue, 2022
    • 4.2.1 Competitive analysis of major digital lending platform players, 2022
      • 4.2.1.1 Ellie Mae Inc. (Intercontinental Exchange, Inc.)
      • 4.2.1.2 Fidelity National Information Services, Inc., (FIS)
      • 4.2.1.3 Finastra
      • 4.2.1.4 Fiserv, Inc.
      • 4.2.1.5 Pegasystems
      • 4.2.1.6 Tavant
      • 4.2.1.7 Temenos AG
    • 4.2.2 Competitive analysis of market innovators, 2022
      • 4.2.2.1 Argo Data Resource Corporation
      • 4.2.2.2 Built Technologies
      • 4.2.2.3 CU Direct
      • 4.2.2.4 Docutech LLC
      • 4.2.2.5 Sageworks (Abrigo)
      • 4.2.2.6 Symitar (Jack Henry & Associates Inc.)
      • 4.2.2.7 Turnkey Lender
    • 4.2.3 Vendor adoption matrix
    • 4.2.4 Strategic outlook matrix

Chapter 5 Digital Lending Platform Market, By Component

  • 5.1 Key trends, by component
  • 5.2 Solution
    • 5.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.2 Loan Origination System (LOS)
      • 5.2.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.3 Loan Management Systems
      • 5.2.3.1 Market estimates and forecast, 2018 - 2032
    • 5.2.4 Risk & Compliance Management Systems
      • 5.2.4.1 Market estimates and forecast, 2018 - 2032
    • 5.2.5 Point of Sale (POS) Systems
      • 5.2.5.1 Market estimates and forecast, 2018 - 2032
    • 5.2.6 Lending Analytics
      • 5.2.6.1 Market estimates and forecast, 2018 - 2032
    • 5.2.7 Collection & Recovery System
      • 5.2.7.1 Market estimates and forecast, 2018 - 2032
    • 5.2.8 Others
      • 5.2.8.1 Market estimates and forecast, 2018 - 2032
  • 5.3 Services
    • 5.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.2 Support & Maintenance
      • 5.3.2.1 Market estimates and forecast, 2018 - 2032
    • 5.3.3 Design & Implementation
      • 5.3.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.4 Training & Education
      • 5.3.4.1 Market estimates and forecast, 2018 - 2032
    • 5.3.5 Risk Assessment
      • 5.3.5.1 Market estimates and forecast, 2018 - 2032
    • 5.3.6 Consulting
      • 5.3.6.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Digital Lending Platform Market, By Deployment

  • 6.1 Key trends, by deployment
  • 6.2 On-premise
    • 6.2.1 Market estimates and forecast, 2018 - 2032
  • 6.3 Cloud
    • 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Digital Lending Platform Market, By Business Model

  • 7.1 Key trends, by business model
  • 7.2 Customer Driven
    • 7.2.1 Market estimates and forecast, 2018 - 2032
  • 7.3 Staff Driven
    • 7.3.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Digital Lending Platform Market, By Product

  • 8.1 Key trends, by product
  • 8.2 Personal Loan
    • 8.2.1 Market estimates and forecast, 2018 - 2032
  • 8.3 Automotive Loan
    • 8.3.1 Market estimates and forecast, 2018 - 2032
  • 8.4 SME Finance Loan
    • 8.4.1 Market estimates and forecast, 2018 - 2032
  • 8.5 Mortgage Loan
    • 8.5.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Digital Lending Platform Market, By Application

  • 9.1 Key trends, by product
  • 9.2 Bank & NBFCs
    • 9.2.1 Market estimates and forecast, 2018 - 2032
  • 9.3 Credit Union
    • 9.3.1 Market estimates and forecast, 2018 - 2032
  • 9.4 Fintech Companies
    • 9.4.1 Market estimates and forecast, 2018 - 2032
  • 9.5 P2P Lenders
    • 9.5.1 Market estimates and forecast, 2018 - 2032

Chapter 10 Digital Lending Platform Market, By Region

  • 10.1 Key trends, by region
  • 10.2 North America
    • 10.2.1 Market estimates and forecast, 2018 - 2032
    • 10.2.2 Market estimates and forecast, by component, 2018 - 2032
      • 10.2.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.2.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.2.3 Market estimates and forecast, by deployment, 2018 - 2032
    • 10.2.4 Market estimates and forecast, by business model, 2018 - 2032
    • 10.2.5 Market estimates and forecast, by product, 2018 - 2032
    • 10.2.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.2.7 U.S.
      • 10.2.7.1 Market estimates and forecast, 2018 - 2032
      • 10.2.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.2.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.2.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.2.7.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.2.7.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.2.7.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.2.7.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.2.8 Canada
      • 10.2.8.1 Market estimates and forecast, 2018 - 2032
      • 10.2.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.2.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.2.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.2.8.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.2.8.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.2.8.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.2.8.6 Market estimates and forecast, by application, 2018 - 2032
  • 10.3 Europe
    • 10.3.1 Market estimates and forecast, 2018 - 2032
    • 10.3.2 Market estimates and forecast, by component, 2018 - 2032
      • 10.3.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.3.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.3.3 Market estimates and forecast, by deployment, 2018 - 2032
    • 10.3.4 Market estimates and forecast, by business model, 2018 - 2032
    • 10.3.5 Market estimates and forecast, by product, 2018 - 2032
    • 10.3.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.3.7 UK
      • 10.3.7.1 Market estimates and forecast, 2018 - 2032
      • 10.3.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.3.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.7.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.3.7.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.3.7.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.3.7.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.3.8 Germany
      • 10.3.8.1 Market estimates and forecast, 2018 - 2032
      • 10.3.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.3.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.8.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.3.8.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.3.8.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.3.8.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.3.9 France
      • 10.3.9.1 Market estimates and forecast, 2018 - 2032
      • 10.3.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.3.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.9.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.3.9.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.3.9.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.3.9.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.3.10 Italy
      • 10.3.10.1 Market estimates and forecast, 2018 - 2032
      • 10.3.10.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.3.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.10.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.3.10.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.3.10.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.3.10.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.3.11 Spain
      • 10.3.11.1 Market estimates and forecast, 2018 - 2032
      • 10.3.11.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.3.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.11.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.11.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.3.11.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.3.11.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.3.11.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.3.12 Switzerland
      • 10.3.12.1 Market estimates and forecast, 2018 - 2032
      • 10.3.12.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.3.12.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.12.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.12.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.3.12.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.3.12.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.3.12.6 Market estimates and forecast, by application, 2018 - 2032
  • 10.4 Asia Pacific
    • 10.4.1 Market estimates and forecast, 2018 - 2032
    • 10.4.2 Market estimates and forecast, by component, 2018 - 2032
      • 10.4.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.4.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.4.3 Market estimates and forecast, by deployment, 2018 - 2032
    • 10.4.4 Market estimates and forecast, by business model, 2018 - 2032
    • 10.4.5 Market estimates and forecast, by product, 2018 - 2032
    • 10.4.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.4.7 Australia
      • 10.4.7.1 Market estimates and forecast, 2018 - 2032
      • 10.4.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.4.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.7.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.4.7.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.4.7.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.4.7.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.4.8 China
      • 10.4.8.1 Market estimates and forecast, 2018 - 2032
      • 10.4.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.4.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.8.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.4.8.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.4.8.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.4.8.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.4.9 India
      • 10.4.9.1 Market estimates and forecast, 2018 - 2032
      • 10.4.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.4.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.9.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.4.9.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.4.9.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.4.9.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.4.10 Japan
      • 10.4.10.1 Market estimates and forecast, 2018 - 2032
      • 10.4.10.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.4.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.10.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.4.10.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.4.10.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.4.10.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.4.11 South Korea
      • 10.4.11.1 Market estimates and forecast, 2018 - 2032
      • 10.4.11.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.4.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.11.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.11.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.4.11.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.4.11.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.4.11.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.4.12 Southeast Asia
      • 10.4.12.1 Market estimates and forecast, 2018 - 2032
      • 10.4.12.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.4.12.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.12.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.12.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.4.12.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.4.12.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.4.12.6 Market estimates and forecast, by application, 2018 - 2032
  • 10.5 Latin America
    • 10.5.1 Market estimates and forecast, 2018 - 2032
    • 10.5.2 Market estimates and forecast, by component, 2018 - 2032
      • 10.5.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.5.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.5.3 Market estimates and forecast, by deployment, 2018 - 2032
    • 10.5.4 Market estimates and forecast, by business model, 2018 - 2032
    • 10.5.5 Market estimates and forecast, by product, 2018 - 2032
    • 10.5.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.5.7 Argentina
      • 10.5.7.1 Market estimates and forecast, 2018 - 2032
      • 10.5.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.5.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.7.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.5.7.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.5.7.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.5.7.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.5.8 Colombia
      • 10.5.8.1 Market estimates and forecast, 2018 - 2032
      • 10.5.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.5.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.8.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.5.8.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.5.8.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.5.8.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.5.9 Brazil
      • 10.5.9.1 Market estimates and forecast, 2018 - 2032
      • 10.5.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.5.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.9.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.5.9.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.5.9.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.5.9.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.5.10 Mexico
      • 10.5.10.1 Market estimates and forecast, 2018 - 2032
      • 10.5.10.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.5.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.10.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.5.10.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.5.10.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.5.10.6 Market estimates and forecast, by application, 2018 - 2032
  • 10.6 MEA
    • 10.6.1 Market estimates and forecast, 2018 - 2032
    • 10.6.2 Market estimates and forecast, by component, 2018 - 2032
      • 10.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.6.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.6.3 Market estimates and forecast, by deployment, 2018 - 2032
    • 10.6.4 Market estimates and forecast, by business model, 2018 - 2032
    • 10.6.5 Market estimates and forecast, by product, 2018 - 2032
    • 10.6.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.6.7 Saudi Arabia
      • 10.6.7.1 Market estimates and forecast, 2018 - 2032
      • 10.6.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.6.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.7.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.6.7.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.6.7.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.6.7.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.6.8 South Africa
      • 10.6.8.1 Market estimates and forecast, 2018 - 2032
      • 10.6.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.6.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.8.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.6.8.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.6.8.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.6.8.6 Market estimates and forecast, by application, 2018 - 2032
    • 10.6.9 UAE
      • 10.6.9.1 Market estimates and forecast, 2018 - 2032
      • 10.6.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 10.6.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.9.3 Market estimates and forecast, by deployment, 2018 - 2032
      • 10.6.9.4 Market estimates and forecast, by business model, 2018 - 2032
      • 10.6.9.5 Market estimates and forecast, by product, 2018 - 2032
      • 10.6.9.6 Market estimates and forecast, by application, 2018 - 2032

Chapter 11 Company Profiles

  • 11.1 ARGO Data Resource Corporation
    • 11.1.1 Business Overview
    • 11.1.2 Financial Data
    • 11.1.3 Product Landscape
    • 11.1.4 Strategic Outlook
    • 11.1.5 SWOT Analysis
  • 11.2 Base-Net Informatik AG
    • 11.2.1 Business Overview
    • 11.2.2 Financial Data
    • 11.2.3 Product Landscape
    • 11.2.4 Strategic Outlook
    • 11.2.5 SWOT Analysis
  • 11.3 Built Technologies, Inc.
    • 11.3.1 Business Overview
    • 11.3.2 Financial Data
    • 11.3.3 Product Landscape
    • 11.3.4 Strategic Outlook
    • 11.3.5 SWOT Analysis
  • 11.4 CU Direct
    • 11.4.1 Business Overview
    • 11.4.2 Financial Data
    • 11.4.3 Product Landscape
    • 11.4.4 Strategic Outlook
    • 11.4.5 SWOT Analysis
  • 11.5 Decimal Technologies Pvt. Ltd.
    • 11.5.1 Business Overview
    • 11.5.2 Financial Data
    • 11.5.3 Product Landscape
    • 11.5.4 Strategic Outlook
    • 11.5.5 SWOT Analysis
  • 11.6 Docutech LLC
    • 11.6.1 Business Overview
    • 11.6.2 Financial Data
    • 11.6.3 Product Landscape
    • 11.6.4 Strategic Outlook
    • 11.6.5 SWOT Analysis
  • 11.7 Ellie Mae, Inc.
    • 11.7.1 Business Overview
    • 11.7.2 Financial Data
    • 11.7.3 Product Landscape
    • 11.7.4 Strategic Outlook
    • 11.7.5 SWOT Analysis
  • 11.8 Finantix Pro SRL
    • 11.8.1 Business Overview
    • 11.8.2 Financial Data
    • 11.8.3 Product Landscape
    • 11.8.4 Strategic Outlook
    • 11.8.5 SWOT Analysis
  • 11.9 Finastra
    • 11.9.1 Business Overview
    • 11.9.2 Financial Data
    • 11.9.3 Product Landscape
    • 11.9.4 Strategic Outlook
    • 11.9.5 SWOT Analysis
  • 11.10 Fidelity National Information Services (FIS), Inc.
    • 11.10.1 Business Overview
    • 11.10.2 Financial Data
    • 11.10.3 Product Landscape
    • 11.10.4 Strategic Outlook
    • 11.10.5 SWOT Analysis
  • 11.11 Fiserv Inc.
    • 11.11.1 Business Overview
    • 11.11.2 Financial Data
    • 11.11.3 Product Landscape
    • 11.11.4 Strategic Outlook
    • 11.11.5 SWOT Analysis
  • 11.12 Intellect Design Arena Ltd.
    • 11.12.1 Business Overview
    • 11.12.2 Financial Data
    • 11.12.3 Product Landscape
    • 11.12.4 Strategic Outlook
    • 11.12.5 SWOT Analysis
  • 11.13 Juristech Sdn Bhd
    • 11.13.1 Business Overview
    • 11.13.2 Financial Data
    • 11.13.3 Product Landscape
    • 11.13.4 Strategic Outlook
    • 11.13.5 SWOT Analysis
  • 11.14 Loanboox (Swiss Fintech AG)
    • 11.14.1 Business Overview
    • 11.14.2 Financial Data
    • 11.14.3 Product Landscape
    • 11.14.4 Strategic Outlook
    • 11.14.5 SWOT Analysis
  • 11.15 Mambu GmbH
    • 11.15.1 Business Overview
    • 11.15.2 Financial Data
    • 11.15.3 Product Landscape
    • 11.15.4 Strategic Outlook
    • 11.15.5 SWOT Analysis
  • 11.16 Newgen Software Technologies Limited
    • 11.16.1 Business Overview
    • 11.16.2 Financial Data
    • 11.16.3 Product Landscape
    • 11.16.4 Strategic Outlook
    • 11.16.5 SWOT Analysis
  • 11.17 Nucleus Software Exports Ltd.
    • 11.17.1 Business Overview
    • 11.17.2 Financial Data
    • 11.17.3 Product Landscape
    • 11.17.4 Strategic Outlook
    • 11.17.5 SWOT Analysis
  • 11.18 Pegasystems, Inc.
    • 11.18.1 Business Overview
    • 11.18.2 Financial Data
    • 11.18.3 Product Landscape
    • 11.18.4 Strategic Outlook
    • 11.18.5 SWOT Analysis
  • 11.19 Roostify
    • 11.19.1 Business Overview
    • 11.19.2 Financial Data
    • 11.19.3 Product Landscape
    • 11.19.4 Strategic Outlook
    • 11.19.5 SWOT Analysis
  • 11.20 Sageworks (Abrigo)
    • 11.20.1 Business Overview
    • 11.20.2 Financial Data
    • 11.20.3 Product Landscape
    • 11.20.4 Strategic Outlook
    • 11.20.5 SWOT Analysis
  • 11.21 Sigma Infosolutions
    • 11.21.1 Business Overview
    • 11.21.2 Financial Data
    • 11.21.3 Product Landscape
    • 11.21.4 Strategic Outlook
    • 11.21.5 SWOT Analysis
  • 11.22 Symitar
    • 11.22.1 Business Overview
    • 11.22.2 Financial Data
    • 11.22.3 Product Landscape
    • 11.22.4 Strategic Outlook
    • 11.22.5 SWOT Analysis
  • 11.23 Tavant
    • 11.23.1 Business Overview
    • 11.23.2 Financial Data
    • 11.23.3 Product Landscape
    • 11.23.4 Strategic Outlook
    • 11.23.5 SWOT Analysis
  • 11.24 Temenos AG
    • 11.24.1 Business Overview
    • 11.24.2 Financial Data
    • 11.24.3 Product Landscape
    • 11.24.4 Strategic Outlook
    • 11.24.5 SWOT Analysis
  • 11.25 Teylor AG
    • 11.25.1 Business Overview
    • 11.25.2 Financial Data
    • 11.25.3 Product Landscape
    • 11.25.4 Strategic Outlook
    • 11.25.5 SWOT Analysis
  • 11.26 Turnkey Lender
    • 11.26.1 Business Overview
    • 11.26.2 Financial Data
    • 11.26.3 Product Landscape
    • 11.26.4 Strategic Outlook
    • 11.26.5 SWOT Analysis