Vancouver, BC -- (SBWIRE) -- 04/26/2021 -- The global artificial intelligence (AI) in Banking market is expected to reach a market size of USD 130.00 Billion by 2027 and register a high revenue CAGR, according to latest analysis by Emergen Research. A key driving factor includes growing demand for advanced tools to enhance customer experience in the banking sector. Increasing demand for solutions to simplify banking operations is expected to further fuel growth of the global artificial intelligence (AI) market growth during the forecast period. Rising capital venture investment in artificial intelligence (AI) companies is also expected to propel global AI in banking market growth.

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The competitive landscape of the report has been formulated by considering all the vital parameters such as company profiling, market share, recent developments and advancements, gross margins, product portfolio, revenue generation, financial standing, market position, and expansion plans. The report also discusses in detail the recent mergers and acquisitions, joint ventures, collaborations

Key market participants include Amazon Web Services Inc., Microsoft Corporation, Google LLC, Intel Corporation, Oracle Corporation, Salesforce.com, Inc., SAP SE, Baidu, Inc., Comply Advantage Ltd, and Interactions LLC.

The report focuses on mergers and acquisitions, joint ventures, collaborations, partnerships, corporate and government deals, and others. The report also talks about the expansions these prominent players are vying for in the key regions of the market. The report focuses on the detailed analysis of the technological and product developments undertaken by these companies.

Emergen Research has segmented the global AI in banking market on the basis of component, technology, application, solution, and region.

Component Outlook (Revenue, USD Billion; 2020–2027)
Service
Hardware
Software

Technology Outlook (Revenue, USD Billion; 2020–2027)
Natural Language Processing
Deep Learning & Machine Learning
Computer Vision
Others

Application Outlook (Revenue, USD Billion; 2020–2027)
Customer Service
Back Office
Financial Advisory
Compliance & Security
Risk Management
Others

Solution Outlook (Revenue, USD Billion; 2020–2027)
Customer Behavior Analytics
Data Analytics & Visualization
Fraud Detection
Customer Relationship Management
Chatbot
Others

Overview of the AI in Banking Market Report:

Introduction, Product Scope, Market Overview, and Opportunities
Analysis of the Manufacturers with sales, revenue, and price analysis
Comprehensive analysis of the competitive landscape
Extensive profiling of the key competitors along with their business strategies and market size
Regional analysis of the market along with sales, revenue, market share, and global position
Country-wise analysis of the market along with types, applications, and manufacturing
Strategic recommendations to established players as well as new entrants
In-depth analysis of the risks, restraints, and limitations in the AI in Banking industry

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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, 2019-2027

Chapter 3. Key Insights

Chapter 4. AI in Banking Market Segmentation & Impact Analysis

    4.1. AI in Banking Market Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Market indicators analysis

          4.2.2. Market drivers analysis

                    4.2.2.1. Increasing demand for advanced solution to improve customer service in banking sector

                    4.2.2.2. Growing demand for data-driven decision-making solution

                    4.2.2.3. Rising demand for better fraud detection solution

                    4.2.2.4. Increasing demand for advanced technology to automate banking operations

          4.2.3. Market restraints analysis

                    4.2.3.1. The high cost of artificial intelligence (AI) driven solutions

                    4.2.3.2. Risk of cyber attacks

    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. AI in Banking Market By Component Insights & Trends Revenue (USD Billion) 

    5.1. Component Dynamics & Market Share, 2019 & 2027

          5.1.1. Service

          5.1.2. Hardware

          5.1.3. Software

Chapter 6. AI in Banking Market By Technology Insights & Trends Revenue (USD Billion) 

    6.1. Technology Dynamics & Market Share, 2019 & 2027

          6.1.1. Natural Language Processing

          6.1.2. Deep Learning & Machine Learning

          6.1.3. Computer Vision

          6.1.4. Others

Chapter 7. AI in Banking Market By Application Insights & Trends Revenue (USD Billion) 

    7.1. Application Dynamics & Market Share, 2019 & 2027

          7.1.1. Customer Service

          7.1.2. Back Office

          7.1.3. Financial Advisory

          7.1.4. Compliance & Security

          7.1.5. Risk Management

          7.1.6. Others

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