Abstract
Summary
Artificial intelligence (AI) is a branch of computer science that deals with intelligent organisms, the AI in BFSI is used to create systems that can make automatic decisions, which is important in a data-rich work environment must be addressed and where decisions are made must be made quickly. AI can help automate decision-making processes, making them faster and more accurate. It can also help identify patterns and trends in the data, which can be used to make better decisions. In financial institutions and other major finance industries, AI has become a core adaption of every single business and is expected to change the overall scenario of service offerings. The BFSI market has looped into an AI-based solution for many traditional banking problems such as increased capital demand.
The increase in the demand for AI based security features and increase in preferences for personalized financial services are fostering the growth of artificial intelligence in BFSI market. The BFSI sector operates in an environment of rapidly evolving cyber threats. Traditional security measures often fail to protect against sophisticated attacks. The demand for AI-based security features is driven by the need for adaptive and intelligent solutions that can continuously analyze, detect, and respond to emerging threats in real time. In addition, rise in technological advancements such as in chatbots, robo-advisors for financial products, and smart wallets are some of the factors that fuels the market growth. However, lack of awareness and privacy concerns are major factors that hamper the growth of the artificial intelligence in BFSI market. AI in BFSI is prone to privacy and security vulnerabilities since it relies on data collection to respond to user questions. Building AI in BFSI apps with high privacy and security requirements, as well as monitoring mechanisms, will assist end-users gain trust in solution, which will lead to more chatbot usage over time. Contrarily, the emergence of fintech startups in the BFSI sector presents significant opportunities for the artificial intelligence in BFSI industry. Fintech startups leverage data analytics and artificial intelligence to deliver highly personalized artificial intelligence in BFSI services. They deliver customized recommendations, financial insights, and tailored solutions for individual users, increasing customer engagement and loyalty.
The artificial intelligence in BFSI market is segmented on the basis of offering, solution, technology and region. On the basis of offering, it is categorized into hardware, software, and services. On the basis of solution, it is classified into chatbots, fraud detection & prevention, anti-money laundering, customer relationship management, data analytics & prediction, and others. On the basis of technology, it is divided into machine learning, natural language processing, computer vision, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the artificial intelligence in BFSI market such as Amazon Web Services, Inc., Baidu, Inc., Google LLC, Intel Corporation, IBM Corporation, Microsoft Corporation, Oracle, SAP SE, Salesforce, Inc., and Palantir Technologies Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the artificial intelligence in BFSI market.
Key benefits for stakeholders
●The study provides in-depth analysis of the global artificial intelligence in BFSI market along with the current & future trends to illustrate the imminent investment pockets.
●Information about key drivers, restrains, & opportunities and their impact analysis on the global artificial intelligence in BFSI market size are provided in the report.
●Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
●The quantitative analysis of the global artificial intelligence in BFSI market from 2022 to 2032 is provided to determine the market potential.
Additional benefits you will get with this purchase are:
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● 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
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● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
● Free data Pack on the Five and Enterprise User License. (Excel version of the report)
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Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
● Investment Opportunities
● Market share analysis of players by products/segments
● New Product Development/ Product Matrix of Key Players
● Key player details (including location, contact details, supplier/vendor network etc. in excel format)
● SWOT Analysis
Key Market Segments
By Offering
● Hardware
● Software
● Services
By Solution
● Chatbots
● Fraud Detection and Prevention
● Anti-Money Laundering
● Customer Relationship Management
● Data Analytics and Prediction
● Others
By Technology
● Machine Learning
● Natural Language Processing
● Computer Vision
● Others
By Region
● North America
○ U.S.
○ Canada
● Europe
○ UK
○ Germany
○ France
○ Itlay
○ Spain
○ Rest of Europe
● Asia-Pacific
○ China
○ Japan
○ India
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa
● Key Market Players
○ Amazon Web Services, Inc.
○ Baidu, Inc.
○ GOOGLE LLC
○ Intel Corporation
○ IBM Corporation
○ SAP SE
○ Palantir Technologies Inc.
○ Microsoft Corporation
○ Salesforce, Inc.
○ Oracle
Table of Contents
1 INTRODUCTION
1.1 Report description
1.2 Key market segments
1.3 Key benefits to the stakeholders
1.4 Research methodology
1.4.1 Primary research
1.4.2 Secondary research
1.4.3 Analyst tools and models
2 EXECUTIVE SUMMARY
2.1 CXO Perspective
3 MARKET OVERVIEW
3.1 Market definition and scope
3.2 Key findings
3.2.1 Top impacting factors
3.2.2 Top investment pockets
3.3 Porter’s five forces analysis
3.3.1 Low bargaining power of suppliers
3.3.2 Low threat of new entrants
3.3.3 Low threat of substitutes
3.3.4 Low intensity of rivalry
3.3.5 Low bargaining power of buyers
3.4 Market dynamics
3.4.1 Drivers
- 3.4.1.1 Increase in the demand for AI based security features
- 3.4.1.2 Increase in preferences for personalized financial services
- 3.4.1.3 Developments in technology
3.4.2 Restraints
- 3.4.2.1 Lack of awareness and privacy concerns
3.4.3 Opportunities
- 3.4.3.1 Developments in digitalization in the banking sector
- 3.4.3.2 The emergence of fintech startups
4 ARTIFICIAL INTELLIGENCE IN BFSI MARKET, BY OFFERING
4.1 Overview
4.1.1 Market size and forecast
4.2 Hardware
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market share analysis by country
4.3 Software
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market share analysis by country
4.4 Services
4.4.1 Key market trends, growth factors and opportunities
4.4.2 Market size and forecast, by region
4.4.3 Market share analysis by country
5 ARTIFICIAL INTELLIGENCE IN BFSI MARKET, BY SOLUTION
5.1 Overview
5.1.1 Market size and forecast
5.2 Chatbots
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market share analysis by country
5.3 Fraud Detection and Prevention
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market share analysis by country
5.4 Anti-Money Laundering
5.4.1 Key market trends, growth factors and opportunities
5.4.2 Market size and forecast, by region
5.4.3 Market share analysis by country
5.5 Customer Relationship Management
5.5.1 Key market trends, growth factors and opportunities
5.5.2 Market size and forecast, by region
5.5.3 Market share analysis by country
5.6 Data Analytics and Prediction
5.6.1 Key market trends, growth factors and opportunities
5.6.2 Market size and forecast, by region
5.6.3 Market share analysis by country
5.7 Others
5.7.1 Key market trends, growth factors and opportunities
5.7.2 Market size and forecast, by region
5.7.3 Market share analysis by country
6 ARTIFICIAL INTELLIGENCE IN BFSI MARKET, BY TECHNOLOGY
6.1 Overview
6.1.1 Market size and forecast
6.2 Machine Learning
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market share analysis by country
6.3 Natural Language Processing
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market share analysis by country
6.4 Computer Vision
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market share analysis by country
6.5 Others
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market share analysis by country
7 ARTIFICIAL INTELLIGENCE IN BFSI MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast By Region
7.2 North America
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by Offering
7.2.3 Market size and forecast, by Solution
7.2.4 Market size and forecast, by Technology
7.2.5 Market size and forecast, by country
- 7.2.5.1 U.S
- 7.2.5.1.1 Market size and forecast, by Offering
- 7.2.5.1.2 Market size and forecast, by Solution
- 7.2.5.1.3 Market size and forecast, by Technology
- 7.2.5.2 Canada
- 7.2.5.2.1 Market size and forecast, by Offering
- 7.2.5.2.2 Market size and forecast, by Solution
- 7.2.5.2.3 Market size and forecast, by Technology
- 7.2.5.1 U.S
7.3 Europe
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by Offering
7.3.3 Market size and forecast, by Solution
7.3.4 Market size and forecast, by Technology
7.3.5 Market size and forecast, by country
- 7.3.5.1 UK
- 7.3.5.1.1 Market size and forecast, by Offering
- 7.3.5.1.2 Market size and forecast, by Solution
- 7.3.5.1.3 Market size and forecast, by Technology
- 7.3.5.2 Germany
- 7.3.5.2.1 Market size and forecast, by Offering
- 7.3.5.2.2 Market size and forecast, by Solution
- 7.3.5.2.3 Market size and forecast, by Technology
- 7.3.5.3 France
- 7.3.5.3.1 Market size and forecast, by Offering
- 7.3.5.3.2 Market size and forecast, by Solution
- 7.3.5.3.3 Market size and forecast, by Technology
- 7.3.5.4 Itlay
- 7.3.5.4.1 Market size and forecast, by Offering
- 7.3.5.4.2 Market size and forecast, by Solution
- 7.3.5.4.3 Market size and forecast, by Technology
- 7.3.5.5 Spain
- 7.3.5.5.1 Market size and forecast, by Offering
- 7.3.5.5.2 Market size and forecast, by Solution
- 7.3.5.5.3 Market size and forecast, by Technology
- 7.3.5.6 Rest of Europe
- 7.3.5.6.1 Market size and forecast, by Offering
- 7.3.5.6.2 Market size and forecast, by Solution
- 7.3.5.6.3 Market size and forecast, by Technology
- 7.3.5.1 UK
7.4 Asia-Pacific
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by Offering
7.4.3 Market size and forecast, by Solution
7.4.4 Market size and forecast, by Technology
7.4.5 Market size and forecast, by country
- 7.4.5.1 China
- 7.4.5.1.1 Market size and forecast, by Offering
- 7.4.5.1.2 Market size and forecast, by Solution
- 7.4.5.1.3 Market size and forecast, by Technology
- 7.4.5.2 Japan
- 7.4.5.2.1 Market size and forecast, by Offering
- 7.4.5.2.2 Market size and forecast, by Solution
- 7.4.5.2.3 Market size and forecast, by Technology
- 7.4.5.3 India
- 7.4.5.3.1 Market size and forecast, by Offering
- 7.4.5.3.2 Market size and forecast, by Solution
- 7.4.5.3.3 Market size and forecast, by Technology
- 7.4.5.4 Australia
- 7.4.5.4.1 Market size and forecast, by Offering
- 7.4.5.4.2 Market size and forecast, by Solution
- 7.4.5.4.3 Market size and forecast, by Technology
- 7.4.5.5 South Korea
- 7.4.5.5.1 Market size and forecast, by Offering
- 7.4.5.5.2 Market size and forecast, by Solution
- 7.4.5.5.3 Market size and forecast, by Technology
- 7.4.5.6 Rest of Asia-Pacific
- 7.4.5.6.1 Market size and forecast, by Offering
- 7.4.5.6.2 Market size and forecast, by Solution
- 7.4.5.6.3 Market size and forecast, by Technology
- 7.4.5.1 China
7.5 LAMEA
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by Offering
7.5.3 Market size and forecast, by Solution
7.5.4 Market size and forecast, by Technology
7.5.5 Market size and forecast, by country
- 7.5.5.1 Latin America
- 7.5.5.1.1 Market size and forecast, by Offering
- 7.5.5.1.2 Market size and forecast, by Solution
- 7.5.5.1.3 Market size and forecast, by Technology
- 7.5.5.2 Middle East
- 7.5.5.2.1 Market size and forecast, by Offering
- 7.5.5.2.2 Market size and forecast, by Solution
- 7.5.5.2.3 Market size and forecast, by Technology
- 7.5.5.3 Africa
- 7.5.5.3.1 Market size and forecast, by Offering
- 7.5.5.3.2 Market size and forecast, by Solution
- 7.5.5.3.3 Market size and forecast, by Technology
- 7.5.5.1 Latin America
8 COMPETITIVE LANDSCAPE
8.1 Introduction
8.2 Top winning strategies
8.3 Product mapping of top 10 player
8.4 Competitive dashboard
8.5 Competitive heatmap
8.6 Top player positioning, 2022
9 COMPANY PROFILES
9.1 Amazon Web Services, Inc
9.1.1 Company overview
9.1.2 Key executives
9.1.3 Company snapshot
9.1.4 Operating business segments
9.1.5 Product portfolio
9.1.6 Business performance
9.1.7 Key strategic moves and developments
9.2 Baidu, Inc
9.2.1 Company overview
9.2.2 Key executives
9.2.3 Company snapshot
9.2.4 Operating business segments
9.2.5 Product portfolio
9.2.6 Business performance
9.2.7 Key strategic moves and developments
9.3 GOOGLE LLC
9.3.1 Company overview
9.3.2 Key executives
9.3.3 Company snapshot
9.3.4 Operating business segments
9.3.5 Product portfolio
9.3.6 Business performance
9.3.7 Key strategic moves and developments
9.4 Intel Corporation
9.4.1 Company overview
9.4.2 Key executives
9.4.3 Company snapshot
9.4.4 Operating business segments
9.4.5 Product portfolio
9.4.6 Business performance
9.5 IBM Corporation
9.5.1 Company overview
9.5.2 Key executives
9.5.3 Company snapshot
9.5.4 Operating business segments
9.5.5 Product portfolio
9.5.6 Business performance
9.5.7 Key strategic moves and developments
9.6 Oracle
9.6.1 Company overview
9.6.2 Key executives
9.6.3 Company snapshot
9.6.4 Operating business segments
9.6.5 Product portfolio
9.6.6 Business performance
9.6.7 Key strategic moves and developments
9.7 SAP SE
9.7.1 Company overview
9.7.2 Key executives
9.7.3 Company snapshot
9.7.4 Operating business segments
9.7.5 Product portfolio
9.7.6 Business performance
9.8 Salesforce, Inc
9.8.1 Company overview
9.8.2 Key executives
9.8.3 Company snapshot
9.8.4 Operating business segments
9.8.5 Product portfolio
9.8.6 Business performance
9.9 Palantir Technologies Inc
9.9.1 Company overview
9.9.2 Key executives
9.9.3 Company snapshot
9.9.4 Operating business segments
9.9.5 Product portfolio
9.10 Microsoft Corporation
9.10.1 Company overview
9.10.2 Key executives
9.10.3 Company snapshot
9.10.4 Operating business segments
9.10.5 Product portfolio
9.10.6 Business performance
9.10.7 Key strategic moves and developments