The Asia Pacific Autonomous Finance Market should witness market growth of 14.3% CAGR during the forecast period (2022-2028).
Robotic process automation (RPA) automates repetitive, high-volume commercial operations to free up human resources for additional high-value work. It helps businesses expedite digital transformation activities and boost return on investment (ROI). RPA is the best method for handling tedious, repetitive work without involving humans since it is rules-based automation. RPA is well-liked among mid-sized enterprises because of its many everyday use cases, including automated invoicing and cash processing.
Critical operations like remittance aggregation may be automated with the help of RPA systems. The solution leverages web bots to automatically gather the necessary data rather than requiring users to log in manually and extract remittance details from customer-uploaded data on online portals. In this instance, there is a significant reduction in the time needed to collect remittance information from online portals.
RPA is a powerful technology, but you should ignore it. Complex circumstances are challenging to manage alone using RPA. RPA, for instance, may extract remittance data from emails, but it cannot confirm the accuracy of the data or fill in or anticipate the holes in it. RPA should thus be considered more of a 'do' technology. When one provides RPA bots with structured data and precise instructions on what to do with it, they do the task flawlessly. However, it must provide anticipated outcomes when working with unstructured data.
India has 6, 636 FinTech startups and is one of the fastest-growing FinTech industries in the world. The Indian FinTech business is expected to be worth $31 billion in 2021 and $150 billion by 2025. Fintech transaction value is expected to expand at a CAGR of 20% from US$66 billion in 2019 to US$138 billion in 2023. India is one of the world's fastest-growing FinTech marketplaces. With China, India has the highest FinTech adoption rate in the world. The quickly growing banking and FinTech sector is expected to increase demand for smart finance technologies in the region. Therefore, the Autonomous Finance Market is growing in Asia Pacific.
The China market dominated the Asia Pacific Autonomous Finance Market by Country in 2021; thereby, achieving a market value of $2, 766.8 million by 2028. The Japan market is registering a CAGR of 13.6% during (2022-2028). Additionally, The India market would showcase a CAGR of 15% during (2022-2028).
Based on Solution, the market is segmented into Auto Payments, Digital Identity Management System, Loan Application Processing, Liquidity Management, Asset Management, and Others. Based on End-Use, the market is segmented into Banks, Financial Institutions, Healthcare, Insurance Companies, Telecom, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Oracle Corporation, NICE Ltd., HighRadius Corporation, Signzy Technologies Private Limited, Roots Automation, Inc., ReGov Technologies Sdn Bhd, Fennech Financial Ltd, Auditoria.AI, VIC.AI and ViralGains, Inc.
Robotic process automation (RPA) automates repetitive, high-volume commercial operations to free up human resources for additional high-value work. It helps businesses expedite digital transformation activities and boost return on investment (ROI). RPA is the best method for handling tedious, repetitive work without involving humans since it is rules-based automation. RPA is well-liked among mid-sized enterprises because of its many everyday use cases, including automated invoicing and cash processing.
Critical operations like remittance aggregation may be automated with the help of RPA systems. The solution leverages web bots to automatically gather the necessary data rather than requiring users to log in manually and extract remittance details from customer-uploaded data on online portals. In this instance, there is a significant reduction in the time needed to collect remittance information from online portals.
RPA is a powerful technology, but you should ignore it. Complex circumstances are challenging to manage alone using RPA. RPA, for instance, may extract remittance data from emails, but it cannot confirm the accuracy of the data or fill in or anticipate the holes in it. RPA should thus be considered more of a 'do' technology. When one provides RPA bots with structured data and precise instructions on what to do with it, they do the task flawlessly. However, it must provide anticipated outcomes when working with unstructured data.
India has 6, 636 FinTech startups and is one of the fastest-growing FinTech industries in the world. The Indian FinTech business is expected to be worth $31 billion in 2021 and $150 billion by 2025. Fintech transaction value is expected to expand at a CAGR of 20% from US$66 billion in 2019 to US$138 billion in 2023. India is one of the world's fastest-growing FinTech marketplaces. With China, India has the highest FinTech adoption rate in the world. The quickly growing banking and FinTech sector is expected to increase demand for smart finance technologies in the region. Therefore, the Autonomous Finance Market is growing in Asia Pacific.
The China market dominated the Asia Pacific Autonomous Finance Market by Country in 2021; thereby, achieving a market value of $2, 766.8 million by 2028. The Japan market is registering a CAGR of 13.6% during (2022-2028). Additionally, The India market would showcase a CAGR of 15% during (2022-2028).
Based on Solution, the market is segmented into Auto Payments, Digital Identity Management System, Loan Application Processing, Liquidity Management, Asset Management, and Others. Based on End-Use, the market is segmented into Banks, Financial Institutions, Healthcare, Insurance Companies, Telecom, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Oracle Corporation, NICE Ltd., HighRadius Corporation, Signzy Technologies Private Limited, Roots Automation, Inc., ReGov Technologies Sdn Bhd, Fennech Financial Ltd, Auditoria.AI, VIC.AI and ViralGains, Inc.
Scope of the Study
By Solution
- Auto Payments
- Digital Identity Management System
- Loan Application Processing
- Liquidity Management
- Asset Management
- Others
By End-Use
- Banks
- Financial Institutions
- Healthcare
- Insurance Companies
- Telecom
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Oracle Corporation
- NICE Ltd.
- HighRadius Corporation
- Signzy Technologies Private Limited
- Roots Automation, Inc.
- ReGov Technologies Sdn Bhd
- Fennech Financial Ltd
- Auditoria.AI
- VIC.AI
- ViralGains, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Autonomous Finance Market, by Solution
1.4.2 Asia Pacific Autonomous Finance Market, by End-Use
1.4.3 Asia Pacific Autonomous Finance Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Asia Pacific Autonomous Finance Market by Solution
3.1 Asia Pacific Auto Payments Market by Country
3.2 Asia Pacific Digital Identity Management System Market by Country
3.3 Asia Pacific Loan Application Processing Market by Country
3.4 Asia Pacific Liquidity Management Market by Country
3.5 Asia Pacific Asset Management Market by Country
3.6 Asia Pacific Others Market by Country
Chapter 4. Asia Pacific Autonomous Finance Market by End-Use
4.1 Asia Pacific Banks Market by Country
4.2 Asia Pacific Financial Institutions Market by Country
4.3 Asia Pacific Healthcare Market by Country
4.4 Asia Pacific Insurance Companies Market by Country
4.5 Asia Pacific Telecom Market by Country
4.6 Asia Pacific Others Market by Country
Chapter 5. Asia Pacific Autonomous Finance Market by Country
5.1 China Autonomous Finance Market
5.1.1 China Autonomous Finance Market by Solution
5.1.2 China Autonomous Finance Market by End-Use
5.2 Japan Autonomous Finance Market
5.2.1 Japan Autonomous Finance Market by Solution
5.2.2 Japan Autonomous Finance Market by End-Use
5.3 India Autonomous Finance Market
5.3.1 India Autonomous Finance Market by Solution
5.3.2 India Autonomous Finance Market by End-Use
5.4 South Korea Autonomous Finance Market
5.4.1 South Korea Autonomous Finance Market by Solution
5.4.2 South Korea Autonomous Finance Market by End-Use
5.5 Singapore Autonomous Finance Market
5.5.1 Singapore Autonomous Finance Market by Solution
5.5.2 Singapore Autonomous Finance Market by End-Use
5.6 Malaysia Autonomous Finance Market
5.6.1 Malaysia Autonomous Finance Market by Solution
5.6.2 Malaysia Autonomous Finance Market by End-Use
5.7 Rest of Asia Pacific Autonomous Finance Market
5.7.1 Rest of Asia Pacific Autonomous Finance Market by Solution
5.7.2 Rest of Asia Pacific Autonomous Finance Market by End-Use
Chapter 6. Company Profiles
6.1 Oracle Corporation
6.1.1 Company Overview
6.1.2 Financial Analysis
6.1.3 Segmental and Regional Analysis
6.1.4 Research & Development Expense
6.1.5 SWOT Analysis
6.2 NICE Ltd.
6.2.1 Company Overview
6.2.2 Financial Analysis
6.2.3 Segmental and Regional Analysis
6.2.4 Research & Development Expenses
6.2.5 Recent strategies and developments:
6.2.5.1 Product Launches and Product Expansions:
6.3 HighRadius Corporation
6.3.1 Company Overview
6.3.2 Recent strategies and developments:
6.3.2.1 Partnerships, Collaborations, and Agreements:
6.4 Signzy Technologies Private Limited
6.4.1 Company Overview
6.5 Roots Automation, Inc.
6.5.1 Company Overview
6.6 ReGov Technologies SDN BHD
6.6.1 Company Overview
6.7 Fennech Financial Ltd
6.7.1 Company Overview
6.8 Auditoria.AI
6.8.1 Company Overview
6.9 VIC.AI
6.9.1 Company Overview
6.9.2 Recent strategies and developments:
6.9.2.1 Partnerships, Collaborations, and Agreements:
6.10. ViralGains, Inc.
6.10.1 Company Overview
Companies Mentioned
- Oracle Corporation
- NICE Ltd.
- HighRadius Corporation
- Signzy Technologies Private Limited
- Roots Automation, Inc.
- ReGov Technologies Sdn Bhd
- Fennech Financial Ltd
- Auditoria.AI
- VIC.AI
- ViralGains, Inc.
Methodology
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