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AI in Banking Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2027

  • Report

  • 100 Pages
  • December 2021
  • Region: Global
  • Infinium Global Research
  • ID: 5518077
The report on the global AI in Banking Market provides qualitative and quantitative analysis for the period from 2019 to 2027. The report predicts the global AI in Banking Market to grow with a CAGR of 50% over the forecast period from 2021-2027. The study on AI in Banking Market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2019 to 2027.

The report on AI in Banking Market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in Banking Market over the period of 2019 to 2027. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in Banking Market over the period of 2019 to 2027. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Report Findings


1) Drivers

  • Growing investment in artificial intelligence technology
  • Rising adoption of internet banking platforms and solutions

2) Restraints

  • Dearth of skilled professionals

3) Opportunities

  • Integration of automation technologies to reduce the effects of covid-19

Research Methodology


A) Primary Research


Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry

Our primary research respondents typically include

1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/country managers
5. Vice President level executives.

B) Secondary Research


Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include

1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered

The global AI in Banking Market is segmented on the basis of component, technology, enterprise size, and application.

The Global AI in Banking Market by Component

  • Solution
  • Services

The Global AI in Banking Market by Technology

  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Others

The Global AI in Banking Market by Enterprise Size

  • Large Enterprise
  • SMES

The Global AI in Banking Market by Application

  • Risk Management Compliance & Security
  • Customer Service
  • Back Office/Operations
  • Financial Advisory
  • Others

Company Profiles


The companies covered in the report include
  • Active Intelligence Pte Ltd
  • BigML, Inc.
  • Fair Isaac Corporation
  • Harman International Industries, Inc.
  • RapidMiner, Inc.
  • Amazon Web Services, Inc.
  • International Business Machines Corporation
  • Microsoft Corporation
  • Intel Corporation
  • Alphabet Inc.

What does this Report Deliver?

1. Comprehensive analysis of the global as well as regional markets of the AI in Banking Market.
2. Complete coverage of all the segments in the AI in Banking Market to analyze the trends, developments in the global market and forecast of market size up to 2027.
3. Comprehensive analysis of the companies operating in the global AI in Banking Market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

This product will be delivered within 1-3 business days.

Table of Contents

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
2. Executive Summary
2.1. AI in Banking Market Highlights
2.2. AI in Banking Market Projection
2.3. AI in Banking Market Regional Highlights
3. Global AI in Banking Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Analysis of COVID-19 impact on the AI in Banking Market
3.4. Porter's Five Forces Analysis
3.5. Growth Matrix Analysis
3.5.1. Growth Matrix Analysis by Component
3.5.2. Growth Matrix Analysis by Technology
3.5.3. Growth Matrix Analysis by Enterprise Size
3.5.4. Growth Matrix Analysis by Application
3.5.5. Growth Matrix Analysis by Region
3.6. Value Chain Analysis of AI in Banking Market
4. AI in Banking Market Macro Indicator Analysis
5. Global AI in Banking Market by Component
5.1. Solution
5.2. Services
6. Global AI in Banking Market by Technology
6.1. Machine Learning & Deep Learning
6.2. Natural Language Processing (NLP)
6.3. Computer Vision
6.4. Others
7. Global AI in Banking Market by Enterprise Size
7.1. Large Enterprise
7.2. SMEs
8. Global AI in Banking Market by Application
8.1. Risk Management Compliance & Security
8.2. Customer Service
8.3. Back Office/Operations
8.4. Financial Advisory
8.5. Others
9. Global AI in Banking Market by Region 2021-2027
9.1. North America
9.1.1. North America AI in Banking Market by Component
9.1.2. North America AI in Banking Market by Technology
9.1.3. North America AI in Banking Market by Enterprise Size
9.1.4. North America AI in Banking Market by Application
9.1.5. North America AI in Banking Market by Country
9.2. Europe
9.2.1. Europe AI in Banking Market by Component
9.2.2. Europe AI in Banking Market by Technology
9.2.3. Europe AI in Banking Market by Enterprise Size
9.2.4. Europe AI in Banking Market by Application
9.2.5. Europe AI in Banking Market by Country
9.3. Asia-Pacific
9.3.1. Asia-Pacific AI in Banking Market by Component
9.3.2. Asia-Pacific AI in Banking Market by Technology
9.3.3. Asia-Pacific AI in Banking Market by Enterprise Size
9.3.4. Asia-Pacific AI in Banking Market by Application
9.3.5. Asia-Pacific AI in Banking Market by Country
9.4. RoW
9.4.1. RoW AI in Banking Market by Component
9.4.2. RoW AI in Banking Market by Technology
9.4.3. RoW AI in Banking Market by Enterprise Size
9.4.4. RoW AI in Banking Market by Application
9.4.5. RoW AI in Banking Market by Sub-region
10. Company Profiles and Competitive Landscape
10.1. Competitive Landscape in the Global AI in Banking Market
10.2. Companies Profiled
10.2.1. Active Intelligence Pte Ltd
10.2.2. BigML, Inc.
10.2.3. Fair Isaac Corporation
10.2.4. Harman International Industries, Inc.
10.2.5. RapidMiner, Inc.
10.2.6. Amazon Web Services, Inc.
10.2.7. International Business Machines Corporation
10.2.8. Microsoft Corporation
10.2.9. Intel Corporation
10.2.10. Alphabet Inc.

Companies Mentioned

  • Active Intelligence Pte Ltd
  • BigML, Inc.
  • Fair Isaac Corporation
  • Harman International Industries, Inc.
  • RapidMiner, Inc.
  • Amazon Web Services, Inc.
  • International Business Machines Corporation
  • Microsoft Corporation
  • Intel Corporation
  • Alphabet Inc.