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Asia Pacific Artificial Intelligence in BFSI Market Size, Share & Trends Analysis Report By Offering (Software, Hardware, and Services), By Technology, By Solution, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 149 Pages
  • April 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5972631
The Asia Pacific Artificial Intelligence in BFSI Market would witness market growth of 33.2% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific Artificial Intelligence in BFSI Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $18,894.8 million by 2031. The Japan market is registering a CAGR of 32.4% during (2024 - 2031). Additionally, The India market would showcase a CAGR of 34% during (2024 - 2031).



AI algorithms analyze customer data, transaction history, and behavior patterns to offer personalized financial recommendations, product recommendations, and targeted marketing campaigns. By understanding customer preferences and financial goals, BFSI organizations can tailor offerings to meet individual needs. AI algorithms sift through vast customer data to identify patterns and trends, enabling BFSI institutions to segment their customer base effectively.

By categorizing customers based on demographics, spending habits, risk tolerance, and life events, organizations can target specific segments with personalized offerings tailored to their unique needs and preferences. Whether it's suggesting investment portfolios, insurance coverage, or loan options, AI algorithms leverage predictive analytics to match customers with the most suitable financial products and services.

Fintech companies in India are leveraging AI algorithms to revolutionize the lending landscape by offering alternative lending solutions and innovative credit scoring models. AI-driven credit assessment platforms analyze non-traditional data sources such as digital footprints, social media profiles, and transaction histories to evaluate creditworthiness and assess risk. As per the Indian Brand Equity Foundation, by 2025, the Indian fintech sector is anticipated to be worth $150 billion. India possesses the third most extensive fintech ecosystem. India is among the fintech sectors with the most rapid expansion. There are over 2,000 DPIIT-recognized Financial Technology (FinTech) businesses in India, and the number is rapidly increasing. Thus, the growing digitalized banking sector in Asia Pacific will drive the expansion of the regional market.

Based on Offering, the market is segmented into Software, Hardware, and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision, and Others. Based on Solution, the market is segmented into Chatbots, Fraud Detection & Prevention, Customer Relationship Management, Data Analytics & Prediction, Anti-Money Laundering, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

List of Key Companies Profiled

  • Microsoft Corporation
  • IBM Corporation
  • Palantir Technologies Inc.
  • Salesforce, Inc.
  • SAP SE
  • Baidu, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Oracle Corporation
  • Intel Corporation

Market Report Segmentation

By Offering
  • Software
  • Hardware
  • Services
By Technology
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Others
By Solution
  • Chatbots
  • Fraud Detection & Prevention
  • Customer Relationship Management
  • Data Analytics & Prediction
  • Anti-Money Laundering
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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 BFSI Market, by Offering
1.4.2 Asia Pacific Artificial Intelligence in BFSI Market, by Technology
1.4.3 Asia Pacific Artificial Intelligence in BFSI Market, by Solution
1.4.4 Asia Pacific Artificial Intelligence in BFSI Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnership, Collaborations and Agreements: 2021, Jun - 2024, Apr) Leading Players
4.5 Porter’s Five Forces Analysis
Chapter 5. Asia Pacific Artificial Intelligence in BFSI Market by Offering
5.1 Asia Pacific Software Market by Country
5.2 Asia Pacific Hardware Market by Country
5.3 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific Artificial Intelligence in BFSI Market by Technology
6.1 Asia Pacific Machine Learning Market by Country
6.2 Asia Pacific Natural Language Processing Market by Country
6.3 Asia Pacific Computer Vision Market by Country
6.4 Asia Pacific Others Market by Country
Chapter 7. Asia Pacific Artificial Intelligence in BFSI Market by Solution
7.1 Asia Pacific Chatbots Market by Country
7.2 Asia Pacific Fraud Detection & Prevention Market by Country
7.3 Asia Pacific Customer Relationship Management Market by Country
7.4 Asia Pacific Data Analytics & Prediction Market by Country
7.5 Asia Pacific Anti-Money Laundering Market by Country
7.6 Asia Pacific Others Market by Country
Chapter 8. Asia Pacific Artificial Intelligence in BFSI Market by Country
8.1 China Artificial Intelligence in BFSI Market
8.1.1 China Artificial Intelligence in BFSI Market by Offering
8.1.2 China Artificial Intelligence in BFSI Market by Technology
8.1.3 China Artificial Intelligence in BFSI Market by Solution
8.2 Japan Artificial Intelligence in BFSI Market
8.2.1 Japan Artificial Intelligence in BFSI Market by Offering
8.2.2 Japan Artificial Intelligence in BFSI Market by Technology
8.2.3 Japan Artificial Intelligence in BFSI Market by Solution
8.3 India Artificial Intelligence in BFSI Market
8.3.1 India Artificial Intelligence in BFSI Market by Offering
8.3.2 India Artificial Intelligence in BFSI Market by Technology
8.3.3 India Artificial Intelligence in BFSI Market by Solution
8.4 South Korea Artificial Intelligence in BFSI Market
8.4.1 South Korea Artificial Intelligence in BFSI Market by Offering
8.4.2 South Korea Artificial Intelligence in BFSI Market by Technology
8.4.3 South Korea Artificial Intelligence in BFSI Market by Solution
8.5 Singapore Artificial Intelligence in BFSI Market
8.5.1 Singapore Artificial Intelligence in BFSI Market by Offering
8.5.2 Singapore Artificial Intelligence in BFSI Market by Technology
8.5.3 Singapore Artificial Intelligence in BFSI Market by Solution
8.6 Malaysia Artificial Intelligence in BFSI Market
8.6.1 Malaysia Artificial Intelligence in BFSI Market by Offering
8.6.2 Malaysia Artificial Intelligence in BFSI Market by Technology
8.6.3 Malaysia Artificial Intelligence in BFSI Market by Solution
8.7 Rest of Asia Pacific Artificial Intelligence in BFSI Market
8.7.1 Rest of Asia Pacific Artificial Intelligence in BFSI Market by Offering
8.7.2 Rest of Asia Pacific Artificial Intelligence in BFSI Market by Technology
8.7.3 Rest of Asia Pacific Artificial Intelligence in BFSI Market by Solution
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.6 SWOT Analysis
9.2 IBM Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional & Segmental Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.5.3 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Palantir Technologies Inc.
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.6 SWOT Analysis
9.4 Salesforce, Inc.
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Regional Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.5.2 Product Launches and Product Expansions:
9.4.6 SWOT Analysis
9.5 SAP SE
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 Baidu, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental Analysis
9.6.4 Research & Development Expenses
9.6.5 SWOT Analysis
9.7 Google LLC (Alphabet Inc.)
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.5.2 Product Launches and Product Expansions:
9.7.6 SWOT Analysis
9.8 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental Analysis
9.8.4 Recent strategies and developments:
9.8.4.1 Partnerships, Collaborations, and Agreements:
9.8.5 SWOT Analysis
9.9 Oracle Corporation
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expense
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Product Launches and Product Expansions:
9.9.6 SWOT Analysis
9.10. Intel Corporation
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.11 SWOT Analysis

Companies Mentioned

  • Microsoft Corporation
  • IBM Corporation
  • Palantir Technologies Inc.
  • Salesforce, Inc.
  • SAP SE
  • Baidu, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Oracle Corporation
  • Intel Corporation

Methodology

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