The Global Artificial Intelligence in BFSI Market report, published by Emergen Research, is a paradigmatic representation of the global Artificial Intelligence in BFSI market size, share, revenue, and sales analysis.  The report closely studies the Artificial Intelligence in BFSI market performance during the historical years (2017-2018) to offer a concise market estimation for the same over the forecast period of 2020-2027. Besides analyzing the existing competitive landscape of the global Artificial Intelligence in BFSI industry, the report lays stress on the profiles of the leading companies and their expansion strategies.

AI deployment is witnessing a surge in demand due to change in customer expectation during and after the COVID-19 pandemic. During the first few months of the pandemic, usage of online and mobile banking channels across various industries increased significantly and is expected to keep growing in future. Implementation of social distancing norms has reduced physical visits to banks, customers are increasingly using digital banking, and their expectations are changing due to premium services provided by some banks. Artificial Intelligence helps in understanding the need of users and suggests services tailor-made for them.

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Some Key Highlights in the Report

Machine learning provides banking companies the opportunity to enhance their business by improving performance and efficiency of BFSI activities. Machine learning attempts to study, identify and classify patterns and make decisions from data collected over time. Machine learning can be used to produce accurate and rapid results, which will drive demand among BFSIs.
Artificial Intelligence is proving to be a major game changer in risk management. Financial institutions are prone to risk due to the type of sensitive information they handle on daily basis. AI streamlines management of those risks in a growing competitive industry and new algorithms are being developed to completely automate the risk management process.
North America accounted for the largest revenue share in 2020 due to technological advancement and high investment in AI. Commercial banks in the region are focusing on improving customer services and increasing revenue.
Key players in the market include Amazon Web Services (AWS), Inc., Google LLC, CognitiveScale, Inc., Descartes Labs, Inc., Avaamo, Inc., Intel Corporation, Baidu, Inc., SAP SE, Microsoft Corporation, and Oracle Corporation.
Artificial Intelligence in BFSI Market Segmentation:

Emergen Research has segmented the global Artificial Intelligence in BFSI market on the basis of offering, solution, technology, application, and region:

Offering Component Outlook (Revenue, USD Million; 2018–2028)
Software
Services
Hardware
Solution Outlook (Revenue, USD Million; 2018–2028)
Fraud Detection & Prevention
Customer Relationship Management
Chabot
Anti-money Laundering
Data Analytics & Prediction
Others
Technology Outlook (Revenue, USD Million; 2018–2028)
Machine Learning
Context Aware Processing
Natural Language Processing (NLP)
Deep Learning
Others
Application Outlook (Revenue, USD Million; 2018–2028)
Risk Management
Financial Advisory
Compliance & Security
Back Office / Operation Customer Service
The report offers insights into the demands for the Artificial Intelligence in BFSI products in the global market, especially in the key geographical regions where the market has established its presence. These key regions include North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.For a comprehensive understanding of the market, the vertical is further segmented into product types offered by the market, application spectrum, and end-user industries, among others. It also offers information on the leading manufacturers and vendors in the key geographical regions of the industry.

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Key questions addressed in the report:

Which of the leading market regions accounts for the highest global market share?
What is the current valuation of each region and the estimated remuneration over the forecast timeline?
What are the sales estimates for every regional segment in the Artificial Intelligence in BFSI market over the projected period?
What is the projected growth rate likely to be demonstrated by each region in the global Artificial Intelligence in BFSI market?
Table of Content:

Chapter 1. Methodology & Sources
    1.1. Market Definition
    1.2. Research Scope  
    1.3. Methodology
    1.4. Research Sources
          1.4.1. Primary
          1.4.2. Secondary
          1.4.3. Paid Sources
    1.5. Market Estimation Technique
Chapter 2. Executive Summary
    2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Artificial Intelligence in BFSI Market Segmentation & Impact Analysis
    4.1. Artificial Intelligence in BFSI Market Material Segmentation Analysis
    4.2. Industrial Outlook
          4.2.1. Market indicators analysis
          4.2.2. Market drivers analysis
                    4.2.2.1. Increasing preferences for personalized financial services
                    4.2.2.2. Advancement in technology
          4.2.3. Market restraints analysis 
                    4.2.3.1. Increase in concern for security. 
    4.3. Technological Insights 
    4.4. Regulatory Framework
    4.5. Porter’s Five Forces Analysis
    4.6. Competitive Metric Space Analysis
    4.7. Price trend Analysis
    4.8. Covid-19 Impact Analysis

Chapter 5. Artificial Intelligence in BFSI Market By Offering Insights & Trends, Revenue (USD Billion)
    5.1. Offering Dynamics & Market Share, 2021 & 2028
          5.1.1. Software
          5.1.2. Services
          5.1.3. Hardware

READ MORE…!

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