The Latin America, Middle East and Africa Autonomous Finance Market should witness market growth of 16.6% CAGR during the forecast period (2022-2028).
A credit risk analysis of prospective clients is often the first step in the autonomous accounts receivable (AR) process. Automated credit scoring systems take the name of the client firm, collect information from internal and external sources (such as Bloomberg, DNB, etc.), process the information through their credit algorithms, and then decide on the credit limit that may be extended. The system authorizes the onboarding of the consumers based on this. The sales orders are automatically produced once a different algorithm or bot has verified the purchase orders, and a message is then sent to the inventory management team instructing them to prepare and deliver the items or services.
The system creates the invoice simultaneously when the products or services are delivered to the client. After then, it monitors incoming payments to determine whether the open invoice can be paid. The invoice is added to the aging list after the payment is past due. Automated dunning emails continue to be sent up until the ERP system closes the invoice and the cash reconciliation system can match the payments. ERP systems and AR automation software often collaborate to build autonomous AR systems. Plug-and-play integrators aid in accelerating and simplifying the integration process.
The absence of human engagement does not follow from an autonomous accounting or financial system. Just that they put forth less effort on menial and administrative duties. More time may be spent on strategic activities by the finance teams, such as cultivating customer relationships, convincing older accounts to pay, and creating more robust credit models and rules.
The UAE has a strong banking sector, which is governed onshore by the UAE Central Bank, which was founded in 1980. The Central Bank directs and oversees monetary, credit, and banking policy in conformity with the state's overall policy to support the national economy and currency stability. In addition, it manages the UAE government's gold and foreign currency reserves, functions as a bank for UAE-based banks, and acts as the UAE's financial agent at international financial institutions. Many financial institutions are grabbing the chance to modernize their offerings as technology advances such as AI and advanced big data analytics continue to evolve.
The Brazil market dominated the LAMEA Autonomous Finance Market by Country in 2021; thereby, achieving a market value of $720.1 million by 2028. The Argentina market is showcasing a CAGR of 17.2% during (2022-2028). Additionally, The UAE market would register a CAGR of 16.3% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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.
A credit risk analysis of prospective clients is often the first step in the autonomous accounts receivable (AR) process. Automated credit scoring systems take the name of the client firm, collect information from internal and external sources (such as Bloomberg, DNB, etc.), process the information through their credit algorithms, and then decide on the credit limit that may be extended. The system authorizes the onboarding of the consumers based on this. The sales orders are automatically produced once a different algorithm or bot has verified the purchase orders, and a message is then sent to the inventory management team instructing them to prepare and deliver the items or services.
The system creates the invoice simultaneously when the products or services are delivered to the client. After then, it monitors incoming payments to determine whether the open invoice can be paid. The invoice is added to the aging list after the payment is past due. Automated dunning emails continue to be sent up until the ERP system closes the invoice and the cash reconciliation system can match the payments. ERP systems and AR automation software often collaborate to build autonomous AR systems. Plug-and-play integrators aid in accelerating and simplifying the integration process.
The absence of human engagement does not follow from an autonomous accounting or financial system. Just that they put forth less effort on menial and administrative duties. More time may be spent on strategic activities by the finance teams, such as cultivating customer relationships, convincing older accounts to pay, and creating more robust credit models and rules.
The UAE has a strong banking sector, which is governed onshore by the UAE Central Bank, which was founded in 1980. The Central Bank directs and oversees monetary, credit, and banking policy in conformity with the state's overall policy to support the national economy and currency stability. In addition, it manages the UAE government's gold and foreign currency reserves, functions as a bank for UAE-based banks, and acts as the UAE's financial agent at international financial institutions. Many financial institutions are grabbing the chance to modernize their offerings as technology advances such as AI and advanced big data analytics continue to evolve.
The Brazil market dominated the LAMEA Autonomous Finance Market by Country in 2021; thereby, achieving a market value of $720.1 million by 2028. The Argentina market is showcasing a CAGR of 17.2% during (2022-2028). Additionally, The UAE market would register a CAGR of 16.3% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
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 LAMEA Autonomous Finance Market, by Solution
1.4.2 LAMEA Autonomous Finance Market, by End-Use
1.4.3 LAMEA 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. LAMEA Autonomous Finance Market by Solution
3.1 LAMEA Auto Payments Market by Country
3.2 LAMEA Digital Identity Management System Market by Country
3.3 LAMEA Loan Application Processing Market by Country
3.4 LAMEA Liquidity Management Market by Country
3.5 LAMEA Asset Management Market by Country
3.6 LAMEA Others Market by Country
Chapter 4. LAMEA Autonomous Finance Market by End-Use
4.1 LAMEA Banks Market by Country
4.2 LAMEA Financial Institutions Market by Country
4.3 LAMEA Healthcare Market by Country
4.4 LAMEA Insurance Companies Market by Country
4.5 LAMEA Telecom Market by Country
4.6 LAMEA Others Market by Country
Chapter 5. LAMEA Autonomous Finance Market by Country
5.1 Brazil Autonomous Finance Market
5.1.1 Brazil Autonomous Finance Market by Solution
5.1.2 Brazil Autonomous Finance Market by End-Use
5.2 Argentina Autonomous Finance Market
5.2.1 Argentina Autonomous Finance Market by Solution
5.2.2 Argentina Autonomous Finance Market by End-Use
5.3 UAE Autonomous Finance Market
5.3.1 UAE Autonomous Finance Market by Solution
5.3.2 UAE Autonomous Finance Market by End-Use
5.4 Saudi Arabia Autonomous Finance Market
5.4.1 Saudi Arabia Autonomous Finance Market by Solution
5.4.2 Saudi Arabia Autonomous Finance Market by End-Use
5.5 South Africa Autonomous Finance Market
5.5.1 South Africa Autonomous Finance Market by Solution
5.5.2 South Africa Autonomous Finance Market by End-Use
5.6 Nigeria Autonomous Finance Market
5.6.1 Nigeria Autonomous Finance Market by Solution
5.6.2 Nigeria Autonomous Finance Market by End-Use
5.7 Rest of LAMEA Autonomous Finance Market
5.7.1 Rest of LAMEA Autonomous Finance Market by Solution
5.7.2 Rest of LAMEA 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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