AI In Banking Market Share, Growth Analysis with Industry Trends 2021 Emerging Technologies, Opportunity and Forecast 2021 to 2027 | Microsoft Corporation, Google LLC, Intel Corporation, Oracle Corporation

The AI In Banking Market report provides independent information about the AI In Banking industry supported by extensive research on factors such as industry segments size & trends, inhibitors, dynamics, drivers, opportunities & challenges, environment & policy, cost overview, porter’s five force analysis, and key companies profiles including business overview and recent development.

Major Company Profiles Covered in This Report
Some major key players for global AI in Banking Industry report cover prominent players are Microsoft Corporation, Google LLC, Intel Corporation, Oracle Corporation, Amazon Web Services Inc., Salesforce.com, Inc., SAP SE, Zest AI, IBM, DataRobot, Inc., others.

AI In Banking Market Latest Research Report 2021:

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Scope of Global AI in Banking Industry Report:
Infusion of artificial intelligence (AI) is one of the latest trends in the banking sector. By using AI to improve the customer experience in contact list. Banks contain large amounts of data and AI will connect the dots between the information points and alter the approach businesses act with their customers. Also, AI is being implemented by banks within middle-office functions to detect, assess risks and prevent payments fraud cases, improve processes for anti-money laundering (AML) and perform know-your-customer (KYC) regulatory checks. There are three main applications where banks can use artificial intelligence to save on costs are front office (conversational banking), middle office (anti-fraud) and back office (underwriting). AI used by many banks to transform the customer experience by enabling frictionless, 24/7 customer interactions.

The effect of the pandemic has augmented the adoption of a broader range of AI in banking. During Covid 19, the lockdown to prevent the spread of the Covid-19 has stopped economic activity across many sectors. For example, the banking sector is affected indirectly. Whereas banking services can be provided remotely and do not depend on direct customer contact, the linkage of the sector with the real sector as provider of payment, credit savings, and risk management services extends the negative effect of the Covid-19 crisis to banks and other financial institutions. In spite of that, due to the pandemic, it is found that half of consumers are using digital products for transaction. For example; digital wallet to transfer money from one to another. Thus, the COVID-19 pandemic is providing more opportunities for adoption of AI in banking industry because of social distancing is only solution developed for minimizing exposure of COVID-19.

Key Benefits for AI In Banking Market Reports
The analysis provides an exhaustive investigation of the global Post-Consumer AI In Banking market together with the future projections to assess the investment feasibility. Furthermore, the report includes both quantitative and qualitative analyses of the Post-Consumer AI In Banking market throughout the forecast period. The report also comprehends business opportunities and scope for expansion. Besides this, it provides insights into market threats or barriers and the impact of regulatory framework to give an executive-level blueprint the Post-Consumer AI In Banking market. This is done with an aim of helping companies in

Quantitative analysis of AI In Banking Market
• Industry landscape and trends
• Market dynamics and key issues
• Technology landscape
• Market opportunities
• Porter’s analysis and PESTEL analysis
• Competitive landscape and component benchmarking
• Policy and regulatory scenario

AI In Banking Market Report Covers the Following Segments:

By Component:
• Service
• Hardware
• Software

By Technology:
• Natural Language Processing
• Deep Learning & Machine Learning
• Computer Vision
• Others

By Application:
• Customer Service
• Back Office
• Financial Advisory
• Compliance & Security
• Risk Management
• Others

By Solution:
• Customer Behavior Analytics
• Data Analytics & Visualization
• Fraud Detection
• Customer Relationship Management
• Chatbot
• Others

The regions covered in this AI in Banking Industry report are North America, Europe, Asia-Pacific and Rest of the World. On the basis of country level, market of AI in banking is sub divided into U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.

News: Intel and Consilient Joined Forces to Fight Financial Fraud with AI
December 8th, 2020; Intel and Consilient associated to fight financial fraud with AI in the banking market. Consilient is a newly formed company focused to forming a next-generation system for anti-money laundering and countering the financing of terrorism (AML/CFT) had launched a new secure, federated learning platform powered by Intel Software Guard Extensions (Intel® SGX). The artificial intelligence (AI) platform further used to prevent financial crime and allows secure collaboration among financial institutions while helping to protect privacy and secure data.

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What AI In Banking Market Reports Provides
• Full in-depth analysis of the parent market
• Market share analysis
• Key strategies of major players
• Emerging segments and regional markets
• Testimonials to companies in order to fortify their foothold in the market.
• Important changes in market dynamics
• Segmentation details of the market
• Former, on-going, and projected market analysis in terms of volume and value
• Assessment of niche industry developments

Also, Research Report Examines:
• Competitive companies and manufacturers in global market
• By Product Type, Applications & Growth Factors
• Industry Status and Outlook for Major Applications / End Users / Usage Area

Global AI in Banking Industry Regional Analysis:
North America is expected to dominate the global AI in Banking Industry with the potential rate due to rising use of fast-emerging digital technologies, such as data analytics, AI, block chain, IoT, cloud computing and all Internet-based services in this region. According to recent report of United Nations Conference on Trade and Development, an estimated that IoT devices were grew from 9.9 billion in 2019 to 21.5 billion in 2025 and the United States accounts for around 50% of global IoT spending on the devices. Also, rising banking fraud cases, quick adoption of advanced technologies coupled with the presence of leading players in the region are also fostering the market growth in this region. For instance; the USAA (the United Services Automobile Association) is a San Antonio-based working in financial services and uses AI to monitor fraud and fraud prevention. For instance, ZestFinance is the leader in artificial intelligence (AI) software for credit category including personal loans, credit cards, auto, mortgages and student loans and it is based in Los Angeles, California, United states.

The Asia Pacific is expected to emerge as the fastest-growing regional market for AI in banking due to growing digitalization of the banking sector in this region. Also, growing government policies and initiatives to increase the adoption of artificial intelligence (AI) across various sectors, including banking and adoption of innovative technology in developing countries such as China and India, will further drive the market growth in this region during the forecast period. According to news published on Nov 21, 2020, the South Korean government has an AI strategy to become a top leader in artificial intelligence by 2030.

Table of Content
Chapter 1 Global AI In Banking Market: Summary and Quantitative Analysis
1.1Report Description
1.2Global AI In Banking Market Revenue Overview
1.3Global AI In Banking Market Revenue (USD Billion) and Growth (%) Rate, 2021- 2027
Chapter 2 Global AI In Banking Market: Overview and Qualitative Analysis
2.1Executive Summary
2.2Market Drivers
2.3Market Restraints
2.4Market Opportunities
2.5Market Trends
2.6Global AI In Banking Market: SWOT Analysis
2.7Global AI In Banking Market: PEST Analysis
2.8Global AI In Banking Market: Attractiveness Analysis
2.8.1Global AI In Banking Market: Attractiveness Analysis by Type
2.8.2Global AI In Banking Market: Attractiveness Analysis by Application
2.8.3Global AI In Banking Market: Attractiveness Analysis by Regional
Chapter 3 Competitive Analysis
3.1Global AI In Banking Market
3.1.1Global AI In Banking Market Revenue (USD Billion), By Players 2021
3.1.2Global AI In Banking Market Revenue Share (%), By Players 2021
Chapter 5 Global AI In Banking Market: By Types
5.1Global AI In Banking Market Share (%), By Types, 2021
5.2Global AI In Banking Market Revenue (USD Billion), By Types, 2021 – 2027
5.3Global AI In Banking Market Revenue (USD Billion), T1,2021-2027
5.4Global AI In Banking Market Revenue (USD Billion), T2,2021-2027
5.5Global AI In Banking Market Revenue (USD Billion), T3,2021-2027
5.6Global AI In Banking Market Revenue Share (%), By Types, 2021 – 2027
5.7Global AI In Banking Market Revenue Market Share (%), By Types, 2021-2027
Chapter 6 Global AI In Banking Market: By Application
Continued…

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