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Asia Pacific Artificial Intelligence In Fintech Market Size, Share & Industry Trends Analysis Report By Component (Solutions and Services), By Deployment (On-premise and Cloud), By Application, By Country and Growth Forecast, 2022 - 2028

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    Report

  • 117 Pages
  • June 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5636402
The Asia Pacific Artificial Intelligence In Fintech Market is expected to witness market growth of 17.7% CAGR during the forecast period (2022-2028).

Artificial intelligence enhances outcomes by employing approaches derived from human intellect but applied at a scale that is not human. Fintech firms have been transformed in recent years as a result of the computational arms race. Additionally, data and near-endless volumes of data are altering AI to unprecedented heights, and smart contracts may simply be a continuation of the current market trend.

In the banking industry, AI is used to look at a person's entire financial health, maintain up with real-time changes, and offer tailored advice based on fresh incoming data by examining cash accounts, investment accounts, and credit accounts. Banks and fintech companies have profited from AI and machine learning because they can process large amounts of data on clients. This information and data is then compared to arrive at conclusions about what services/products clients want, which has benefited in the development of customer relationships.

Hong Kong is a developed metropolis with a high rate of mobile phone use and internet access, providing a solid foundation for the city's fintech ecosystem. As per Invest Hong Kong, the countryis home to approximately 600 fintech enterprises and startups. Similarly, 86% of local banks have implemented or plan to implement fintech solutions across all financial services. Consumer fintech adoption in the city was placed in the top five in the world's developed markets. Since 2014, Hong Kong fintech businesses have raised over 1.1 billion dollars in venture funding. Digital payments, securities settlement, wealthtech,electronic Know Your Customer (KYC) and digital identification utilities, insurtech, blockchain, data analytics,and other fintech opportunities abound in Hong Kong.

The HKMA introduced the Fintech Supervisory Sandbox (FSS) in September 2016, allowing banks and their collaborating technology businesses to perform pilot trials of their fintech projects with a small number of consumers without having to meet all of the HKMA's supervisory standards. This arrangement allows banks and tech companies to collect data and user feedback in order to improve their new efforts, allowing them to deploy new technological solutions faster and for less money. Owing to this government support and huge investment in advanced solutions, the growth of the regional artificial intelligence in fintech market is expected to escalate in the forecast years.

The China market dominated the Asia Pacific Artificial Intelligence In Fintech Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $1,908.9 Million by 2028. The Japan market is poised to grow at a CAGR of 17% during (2022-2028). Additionally, The India market is expected to display a CAGR of 18.4% during (2022-2028).

Based on Component, the market is segmented into Solutions and Services. Based on Deployment, the market is segmented into On-premise and Cloud. Based on Application, the market is segmented into Business Analytics & Reporting, Customer Behavioral Analytics, Fraud Detection, Virtual Assistant (Chatbots), Quantitative & Asset Management 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 IBM Corporation, Oracle Corporation, Microsoft Corporation, Google LLC, Intel Corporation, Salesforce.com, Inc., Amazon Web Services, Inc., ComplyAdvantage, Amelia US LLC, and Inbenta Technologies, Inc.

Scope of the Study


Market Segments Covered in the Report:


By Component
  • Solutions
  • Services
By Deployment
  • On-premise
  • Cloud
By Application
  • Business Analytics & Reporting
  • Customer Behavioral Analytics
  • Fraud Detection
  • Virtual Assistant (Chatbots)
  • Quantitative & Asset Management
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players


List of Companies Profiled in the Report:

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC
  • Intel Corporation
  • Salesforce.com, Inc.
  • Amazon Web Services, Inc.
  • ComplyAdvantage
  • Amelia US LLC
  • Inbenta Technologies, Inc.

Unique Offerings from the Publisher

  • 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 & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Artificial Intelligence In Fintech Market, by Component
1.4.2 Asia Pacific Artificial Intelligence In Fintech Market, by Deployment
1.4.3 Asia Pacific Artificial Intelligence In Fintech Market, by Application
1.4.4 Asia Pacific Artificial Intelligence In Fintech 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. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move (Partnerships, Collaborations and Agreements 2018, Nov - 2022, Jun) Leading Players
Chapter 4. Asia Pacific Artificial Intelligence In Fintech Market by Component
4.1 Asia Pacific Solutions Market by Country
4.2 Asia Pacific Services Market by Country
Chapter 5. Asia Pacific Artificial Intelligence In Fintech Market by Deployment
5.1 Asia Pacific On-premise Market by Country
5.2 Asia Pacific Cloud Market by Country
Chapter 6. Asia Pacific Artificial Intelligence In Fintech Market by Application
6.1 Asia Pacific Business Analytics & Reporting Market by Country
6.2 Asia Pacific Customer Behavioural Analytics Market by Country
6.3 Asia Pacific Fraud Detection Market by Country
6.4 Asia Pacific Virtual Assistant (Chatbots) Market by Country
6.5 Asia Pacific Quantitative & Asset Management Market by Country
6.6 Asia Pacific Others Market by Country
Chapter 7. Asia Pacific Artificial Intelligence In Fintech Market by Country
7.1 China Artificial Intelligence In Fintech Market
7.1.1 China Artificial Intelligence In Fintech Market by Component
7.1.2 China Artificial Intelligence In Fintech Market by Deployment
7.1.3 China Artificial Intelligence In Fintech Market by Application
7.2 Japan Artificial Intelligence In Fintech Market
7.2.1 Japan Artificial Intelligence In Fintech Market by Component
7.2.2 Japan Artificial Intelligence In Fintech Market by Deployment
7.2.3 Japan Artificial Intelligence In Fintech Market by Application
7.3 India Artificial Intelligence In Fintech Market
7.3.1 India Artificial Intelligence In Fintech Market by Component
7.3.2 India Artificial Intelligence In Fintech Market by Deployment
7.3.3 India Artificial Intelligence In Fintech Market by Application
7.4 South Korea Artificial Intelligence In Fintech Market
7.4.1 South Korea Artificial Intelligence In Fintech Market by Component
7.4.2 South Korea Artificial Intelligence In Fintech Market by Deployment
7.4.3 South Korea Artificial Intelligence In Fintech Market by Application
7.5 Singapore Artificial Intelligence In Fintech Market
7.5.1 Singapore Artificial Intelligence In Fintech Market by Component
7.5.2 Singapore Artificial Intelligence In Fintech Market by Deployment
7.5.3 Singapore Artificial Intelligence In Fintech Market by Application
7.6 Malaysia Artificial Intelligence In Fintech Market
7.6.1 Malaysia Artificial Intelligence In Fintech Market by Component
7.6.2 Malaysia Artificial Intelligence In Fintech Market by Deployment
7.6.3 Malaysia Artificial Intelligence In Fintech Market by Application
7.7 Rest of Asia Pacific Artificial Intelligence In Fintech Market
7.7.1 Rest of Asia Pacific Artificial Intelligence In Fintech Market by Component
7.7.2 Rest of Asia Pacific Artificial Intelligence In Fintech Market by Deployment
7.7.3 Rest of Asia Pacific Artificial Intelligence In Fintech Market by Application
Chapter 8. Company Profiles
8.1 IBM Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Regional & Segmental Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent strategies and developments
8.1.5.1 Partnerships, Collaborations, and Agreements
8.1.5.2 Product Launches and Product Expansions
8.1.5.3 Acquisition and Mergers
8.1.6 SWOT Analysis
8.2 Oracle Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expense
8.2.5 Recent strategies and developments
8.2.5.1 Partnerships, Collaborations, and Agreements
8.2.5.2 Acquisition and Mergers
8.2.6 SWOT Analysis
8.3 Microsoft Corporation
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expenses
8.3.5 Recent strategies and developments
8.3.5.1 Partnerships, Collaborations, and Agreements
8.3.5.2 Acquisition and Mergers
8.3.6 SWOT Analysis
8.4 Google LLC
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments
8.4.5.1 Partnerships, Collaborations, and Agreements
8.4.5.2 Product Launches and Product Expansions
8.4.6 SWOT Analysis
8.5 Intel Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 Recent strategies and developments
8.5.5.1 Partnerships, Collaborations, and Agreements
8.5.5.2 Acquisition and Mergers
8.5.6 SWOT Analysis
8.6 Salesforce.com, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Regional Analysis
8.6.4 Research & Development Expense
8.6.5 Recent strategies and developments
8.6.5.1 Partnerships, Collaborations, and Agreements
8.6.5.2 Product Launches and Product Expansions
8.6.6 SWOT Analysis
8.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Segmental Analysis
8.7.4 Recent strategies and developments
8.7.4.1 Partnerships, Collaborations, and Agreements
8.8 ComplyAdvantage
8.8.1 Company Overview
8.8.2 Recent strategies and developments
8.8.2.1 Partnerships, Collaborations, and Agreements
8.8.2.2 Product Launches and Product Expansions
8.9 Amelia US LLC (IPSoft)
8.9.1 Company Overview
8.9.2 Recent strategies and developments
8.9.2.1 Product Launches and Product Expansions
8.10. Inbenta technologies, Inc.
8.10.1 Company Overview

Companies Mentioned

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC
  • Intel Corporation
  • Salesforce.com, Inc.
  • Amazon Web Services, Inc.
  • ComplyAdvantage
  • Amelia US LLC
  • Inbenta Technologies, Inc.

Methodology

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