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| Report Code: A11871 | Oct 2021 | Pages: 333 | ||
| Tables: 177 | Charts: 84 |
| |
Pandemic disrupted the entire world and affected many industries.
Get detailed COVID-19 impact analysis on the Ai In Banking Market
Request Now !The global AI in banking market size was valued at $3.88 billion in 2020, and is projected to reach $64.03 billion by 2030, growing at a CAGR of 32.6% from 2021 to 2030.
COVID-19 pandemic is expected to positively impact the growth rate of the AI in banking market, owing to increased shift towards work from home culture across banks & fintech agencies and rapid adoption of artificial intelligence and machine learning tools in banking organizations for performing critical jobs across the globe.
Artificial Intelligence (AI) brings the advantage of digitization to banks and helps them meet the competition posed by FinTech players. For instance, according to joint research conducted by the National Business Research Institute and Narrative Science in 2020, about 32% of banks are already using AI technologies such as predictive analytics, voice recognition, and various others, to have a competitive advantage in the market.
Furthermore, AI also enables banks to manage huge volumes of data at record speed to derive valuable insights and develops a better understanding of customers and their behavior. This enables banks to customize financial products and services by adding personalized features and intuitive interactions to deliver meaningful customer engagement and build strong relationships with its customers.
Improvement in data collection technology among the banks and financial institutions positively impacts the AI in banking market growth. In addition, increase in investment by banks in AI and rise in customer preferences for personalized financial services boost the growth of the market across the globe. However, factors such as higher deployment cost of AI and advance machine learning and lack of skilled labor are limiting market growth. On the contrary, surge in adoption of modern applications in banks is expected to offer remunerative opportunities for the expansion of the AI in banking market during the forecast period.
By component, the solution segment is expected to garner a significant AI in banking market share during the forecast period owing to managing the massive volume of data being generated for meaningful insights and better-informed decisions. Moreover, companies majorly focus on creating novel opportunities for growth and revenue generation, thereby increasing the preference for AI and advance machine learning algorithms across industries. However, the service segment is expected to witness growth at the highest rate during the forecast period, owing to surge in demand for cloud-based AI services among the end users.
Region wise, the AI in banking market share was dominated by North America in 2020 owing to increase in demand for modernizing banks and legacy business systems across the region. In addition, surge in demand for conducting hassle-and risk-free digital transformation among financial institutes is anticipated to boost the growth of the market. However, Asia- Pacific is expected to witness significant growth during the forecast period, owing to surge in need to monitor growing number of financial violations and offences.
The report focuses on growth prospects, restraints, and trends of the AI in banking market analysis. The study provides Porter’s five forces analysis to understand impact of various factors, such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers, on the AI in banking market share.
The global AI in banking market share is segmented on the basis of component, enterprise size, application, technology and region. Depending on component, the market is segregated into solution and service.
Depending on enterprise size, it is fragmented into large enterprises and SMEs. Based on application, the market is divided into risk management compliance & security, customer service, back office/operations, financial advisory and others. On the basis of technology, it is categorized into machine learning & deep learning, natural language processing (NLP), computer vision and others. Region wise, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the AI in banking market are Amazon Web Services Inc., BigML, Inc, Cisco Systems, Inc., Fair Isaac Corporation, Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, RapidMiner, Inc., SAP SE and SAS Institute Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the AI in banking industry.
The COVID-19 outbreak has a significant impact on growth of the AI in banking market, mainly owing to rise in digitization among both the financial institutes and end users, the demand for advanced AI technology increased to reduce the load on the banking servers and reduce transaction delay with rising digital transaction during the pandemic. For instance, according to the survey of Prudential Regulation Authority (PRA) by Bank of England in August 2020, around 40% of respondents reported an increase in the importance of AI and data science for critical financial operation. Furthermore, around 35% of banks reported that AI and data science had a positive impact on technologies that support remote working among employees and on their overall security provided for AI projects. In addition, the pandemic has accelerated the use of AI-powered tools to manage a sudden increase in customer enquiries. Thus, number of such developments across the globe are anticipated to provide lucrative opportunities for the expansion of the market.
Banks are increasing investment in AI solutions to transform the management process of FinTech and to provide better services to end users. In addition, with increase in complexity and competition in the banking sector, the demand for industry-specific solutions increased to meet its goals. Thus, to meet the requirement of customers, various banking institutes and FinTech are investing in AI solution, which, in turn, drives the AI in banking market growth. Furthermore, AI can assist financial institutes at various stages of risk management process ranging from identifying risk exposure, measuring, estimating, and assessing its effects. In addition, banks are adopting and developing AI techniques to analyze large volume of data and to deliver valuable insights to customers. Moreover, increase in investments in AI by FinTech & banks to enhance the automation process and to offer more streamlined and personalized customer experience propels the AI in banking market growth. In addition, major financial institutes such as Bank of America, JPMorgan, and Morgan Stanley, are investing heavily in AI technology to develop automated investment advisors and train systems to detect flags such as money laundering techniques, which can be prevented by financial monitoring, thus augmenting the growth of the AI in banking market revenue.
End users are increasingly preferring personalized financial services, owing to surge in adoption of chatbots among banks and increase in competition among the banks for garnering maximum market share. Various banks are providing budget management apps powered by AI technology, which help customers to achieve their financial targets and improve their money management process, thus driving the growth of the market. Furthermore, robo-advisors are one of the other rapidly emerging trends in personalized financial services, as they specifically target investors with limited resources such as individuals and small- to medium-sized businesses for managing their funds. In addition, AI-based robo-advisors can apply traditional data processing techniques to create financial portfolios and solutions such as trading, investments, and retirement plans for their users. Moreover, with rise of usage-based loans AI technologies are helping to calculate the interest suitable for each individual, which, in turn, propels the growth of the AI in banking market.
Key Benefits For Stakeholders
Key Market Segments
Component
By Enterprise Size
By Application
By Technology
By Region
Key Market Players
AI in Banking Market Report Highlights
| Aspects | Details |
|---|---|
| By COMPONENT |
|
| By ENTERPRISE SIZE |
|
| By APPLICATION |
|
| By TECHNOLOGY |
|
| By Region |
|
| Key Market Players | Amazon Web Services, Inc., HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP, MICROSOFT CORPORATION, INTERNATIONAL BUSINESS MACHINES CORPORATION, Cisco System Inc., SAS INSTITUTE INC., RapidMiner, Inc., SAP SE, .BigML, Inc., FAIR ISAAC CORPORATION |
CHAPTER 1:INTRODUCTION
1.1.Report description
1.2.Key benefits for stakeholders
1.3.Key market segments
1.4.Research methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.Key findings
2.1.1.Top impacting factors
2.1.2.Top investment pockets
2.2.CXO perspective
CHAPTER 3:MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key forces shaping global AI in banking market
3.3.Case studies
3.3.1.CargoSmart adopted Tibco advance analytics solution for improving its decision-making capability by using real-time analysis
3.3.2.Honeywell International Inc. adopted data and business analytics platform of Expedien Inc. to increase productivity, lower risk costs, accelerate growth, and lower risk of organizations
3.4.Market dynamics
3.4.1.Drivers
3.4.1.1.Increase in investment by banking companies in AI and machine learning
3.4.1.2.Rise in preference for personalized financial services
3.4.1.3.Increase in collaboration between financial institutes and AI & machine learning solution company
3.4.2.Restraints
3.4.2.1.Higher deployment cost of AI and machine learning
3.4.2.2.Lack of skilled labor
3.4.3.Opportunity
3.4.3.1.Increase in government initiatives and rise in investments to leverage the AI technology
3.5.Market evolution/industry roadmap
3.6.Impact of government regulations on the global AI in banking market
3.7.COVID-19 impact analysis on AI in banking market
3.7.1.Impact on market size
3.7.2.Consumer trends, preferences, and budget impact
3.7.3.Economic impact
3.7.4.Strategies to tackle negative impact
3.7.5.Opportunity window
3.8.Key future initiatives
3.8.1.Product launches
CHAPTER 4:GLOBAL AI IN BANKING MARKET, BY COMPONENT
4.1.Overview
4.2.Solution
4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country
4.2.4.AI in banking market, by solution type
4.2.4.1.Chatbot
4.2.4.1.1.Market size and forecast, by region
4.2.4.1.2.Market analysis, by country
4.2.4.2.Customer behavior analytics
4.2.4.2.1.Market size and forecast, by region
4.2.4.2.2.Market analysis, by country
4.2.4.3.Customer relationship management (CRM)
4.2.4.3.1.Market size and forecast, by region
4.2.4.3.2.Market analysis, by country
4.2.4.4.Data analytics and visualization
4.2.4.4.1.Market size and forecast, by region
4.2.4.4.2.Market analysis, by country
4.2.4.5.Fraud detection
4.2.4.5.1.Market size and forecast, by region
4.2.4.5.2.Market analysis, by country
4.2.4.6.Others
4.2.4.6.1.Market size and forecast, by region
4.2.4.6.2.Market analysis, by country
4.3.Service
4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country
CHAPTER 5:GLOBAL AI IN BANKING MARKET, BY ENTERPRISE SIZE
5.1.Overview
5.2.Large Enterprise
5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country
5.3.SMEs
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country
CHAPTER 6:GLOBAL AI IN BANKING MARKET, BY APPLICATION
6.1.Overview
6.2.Risk Management Compliance & Security
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country
6.3.Customer Service
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country
6.4.Back Office/Operations
6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market analysis, by country
6.5.Financial Advisory
6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region
6.5.3.Market analysis, by country
6.6.Others
6.6.1.Key market trends, growth factors, and opportunities
6.6.2.Market size and forecast, by region
6.6.3.Market analysis, by country
CHAPTER 7:GLOBAL AI IN BANKING MARKET, BY TECHNOLOGY
7.1.Overview
7.2.Machine learning & deep learning
7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country
7.3.Natural language processing (NLP)
7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country
7.4.Computer vision
7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by region
7.4.3.Market analysis, by country
7.5.Others
7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by region
7.5.3.Market analysis, by country
CHAPTER 8:GOBAL AI IN BANKING MARKET, BY REGION
8.1.Overview
8.1.1.Market size and forecast, by region
8.2.North America
8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by component
8.2.3.Market size and forecast, by solution type
8.2.4.Market size and forecast, by enterprise size
8.2.5.Market size and forecast, by application
8.2.6.Market size and forecast, by technology
8.2.7.Market size and forecast, by country
8.2.7.1.U.S.
8.2.7.1.1.Market size and forecast, by component
8.2.7.1.2.Market size and forecast, by solution type
8.2.7.1.3.Market size and forecast, by enterprise size
8.2.7.1.4.Market size and forecast, by application
8.2.7.1.5.Market size and forecast, by technology
8.2.7.2.Canada
8.2.7.2.1.Market size and forecast, by component
8.2.7.2.2.Market size and forecast, by solution type
8.2.7.2.3.Market size and forecast, by enterprise size
8.2.7.2.4.Market size and forecast, by application
8.2.7.2.5.Market size and forecast, by technology
8.3.Europe
8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by component
8.3.3.Market size and forecast, by solution type
8.3.4.Market size and forecast, by enterprise size
8.3.5.Market size and forecast, by application
8.3.6.Market size and forecast, by technology
8.3.7.Market size and forecast, by country
8.3.7.1.UK
8.3.7.1.1.Market size and forecast, by component
8.3.7.1.2.Market size and forecast, by solution type
8.3.7.1.3.Market size and forecast, by enterprise size
8.3.7.1.4.Market size and forecast, by application
8.3.7.1.5.Market size and forecast, by technology
8.3.7.2.Germany
8.3.7.2.1.Market size and forecast, by component
8.3.7.2.2.Market size and forecast, by solution type
8.3.7.2.3.Market size and forecast, by enterprise size
8.3.7.2.4.Market size and forecast, by application
8.3.7.2.5.Market size and forecast, by technology
8.3.7.3.France
8.3.7.3.1.Market size and forecast, by component
8.3.7.3.2.Market size and forecast, by solution type
8.3.7.3.3.Market size and forecast, by enterprise size
8.3.7.3.4.Market size and forecast, by application
8.3.7.3.5.Market size and forecast, by technology
8.3.7.4.Italy
8.3.7.4.1.Market size and forecast, by component
8.3.7.4.2.Market size and forecast, by solution type
8.3.7.4.3.Market size and forecast, by enterprise size
8.3.7.4.4.Market size and forecast, by application
8.3.7.4.5.Market size and forecast, by technology
8.3.7.5.Spain
8.3.7.5.1.Market size and forecast, by component
8.3.7.5.2.Market size and forecast, by solution type
8.3.7.5.3.Market size and forecast, by enterprise size
8.3.7.5.4.Market size and forecast, by application
8.3.7.5.5.Market size and forecast, by technology
8.3.7.6.Netherlands
8.3.7.6.1.Market size and forecast, by component
8.3.7.6.2.Market size and forecast, by solution type
8.3.7.6.3.Market size and forecast, by enterprise size
8.3.7.6.4.Market size and forecast, by application
8.3.7.6.5.Market size and forecast, by technology
8.3.7.7.Rest of Europe
8.3.7.7.1.Market size and forecast, by component
8.3.7.7.2.Market size and forecast, by solution type
8.3.7.7.3.Market size and forecast, by enterprise size
8.3.7.7.4.Market size and forecast, by application
8.3.7.7.5.Market size and forecast, by technology
8.4.Asia-Pacific
8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by component
8.4.3.Market size and forecast, by solution type
8.4.4.Market size and forecast, by enterprise size
8.4.5.Market size and forecast, by application
8.4.6.Market size and forecast, by technology
8.4.7.Market size and forecast, by country
8.4.7.1.China
8.4.7.1.1.Market size and forecast, by component
8.4.7.1.2.Market size and forecast, by solution type
8.4.7.1.3.Market size and forecast, by enterprise size
8.4.7.1.4.Market size and forecast, by application
8.4.7.1.5.Market size and forecast, by technology
8.4.7.2.Japan
8.4.7.2.1.Market size and forecast, by component
8.4.7.2.2.Market size and forecast, by solution type
8.4.7.2.3.Market size and forecast, by enterprise size
8.4.7.2.4.Market size and forecast, by application
8.4.7.2.5.Market size and forecast, by technology
8.4.7.3.India
8.4.7.3.1.Market size and forecast, by component
8.4.7.3.2.Market size and forecast, by solution type
8.4.7.3.3.Market size and forecast, by enterprise size
8.4.7.3.4.Market size and forecast, by application
8.4.7.3.5.Market size and forecast, by technology
8.4.7.4.Australia
8.4.7.4.1.Market size and forecast, by component
8.4.7.4.2.Market size and forecast, by solution type
8.4.7.4.3.Market size and forecast, by enterprise size
8.4.7.4.4.Market size and forecast, by application
8.4.7.4.5.Market size and forecast, by technology
8.4.7.5.South Korea
8.4.7.5.1.Market size and forecast, by component
8.4.7.5.2.Market size and forecast, by solution type
8.4.7.5.3.Market size and forecast, by enterprise size
8.4.7.5.4.Market size and forecast, by application
8.4.7.5.5.Market size and forecast, by technology
8.4.7.6.Rest of Asia-Pacific
8.4.7.6.1.Market size and forecast, by component
8.4.7.6.2.Market size and forecast, by solution type
8.4.7.6.3.Market size and forecast, by enterprise size
8.4.7.6.4.Market size and forecast, by application
8.4.7.6.5.Market size and forecast, by technology
8.5.LAMEA
8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by component
8.5.3.Market size and forecast, by solution type
8.5.4.Market size and forecast, by enterprise size
8.5.5.Market size and forecast, by application
8.5.6.Market size and forecast, by technology
8.5.7.Market size and forecast, by country
8.5.7.1.Latin America
8.5.7.1.1.Market size and forecast, by component
8.5.7.1.2.Market size and forecast, by solution type
8.5.7.1.3.Market size and forecast, by enterprise size
8.5.7.1.4.Market size and forecast, by application
8.5.7.1.5.Market size and forecast, by technology
8.5.7.2.Middle East
8.5.7.2.1.Market size and forecast, by component
8.5.7.2.2.Market size and forecast, by solution type
8.5.7.2.3.Market size and forecast, by enterprise size
8.5.7.2.4.Market size and forecast, by application
8.5.7.2.5.Market size and forecast, by technology
8.5.7.3.Africa
8.5.7.3.1.Market size and forecast, by component
8.5.7.3.2.Market size and forecast, by solution type
8.5.7.3.3.Market size and forecast, by enterprise size
8.5.7.3.4.Market size and forecast, by application
8.5.7.3.5.Market size and forecast, by technology
CHAPTER 9:COMPETITIVE LANDSCAPE
9.1.Key players positioning analysis, 2020
9.2.Competitive dashboard
9.3.Top winning strategies
CHAPTER 10:COMPANY PROFILE
10.1.Amazon Web Services, Inc.
10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Product portfolio
10.1.5.Business performance
10.1.6.Key strategic moves and developments
10.2.BigML, Inc.
10.2.1.Company overview
10.2.2.Key executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.3.Cisco System Inc.
10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Operating business segments
10.3.5.Product portfolio
10.3.6.R&D expenditure
10.3.7.Business performance
10.4.FAIR ISAAC CORPORATION
10.4.1.Company overview
10.4.2.Key executive
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.R&D expenditure
10.4.7.Business performance
10.5.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Operating business segments
10.5.5.Product portfolio
10.5.6.R&D expenditure
10.5.7.Business performance
10.5.8.Key strategic moves and developments
10.6.INTERNATIONAL BUSINESS MACHINES CORPORATION
10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Operating business segments
10.6.5.Product portfolio
10.6.6.R&D expenditure
10.6.7.Business performance
10.6.8.Key strategic moves and developments
10.7.MICROSOFT CORPORATION
10.7.1.Company overview
10.7.2.Key executives
10.7.3.Company snapshot
10.7.4.Operating business segments
10.7.5.Product portfolio
10.7.6.R&D expenditure
10.7.7.Business performance
10.8.RapidMiner, Inc.
10.8.1.Company overview
10.8.2.Key executives
10.8.3.Company snapshot
10.8.4.Product portfolio
10.8.5.Key strategic moves and developments
10.9.SAP SE
10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Operating business segments
10.9.5.Product portfolio
10.9.6.R&D expenditure
10.9.7.Business performance
10.9.8.Key strategic moves and developments
10.10.SAS INSTITUTE INC.
10.10.1.Company overview
10.10.2.Key executives
10.10.3.Company snapshot
10.10.4.Product portfolio
10.10.5.Key strategic moves and developments
LIST OF TABLES
TABLE 01.KEY NEW PRODUCT LAUNCHES (2018-2020)
TABLE 02.GLOBAL AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 03.GLOBAL AI IN BANKING MARKET REVENUE FOR SOLUTION, BY REGION, 2020–2030 ($MILLION)
TABLE 04.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 05.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE FOR CHATBOT, BY REGION, 2020–2030 ($MILLION)
TABLE 06.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE FOR CUSTOMER BEHAVIOR ANALYTICS, BY REGION, 2020–2030 ($MILLION)
TABLE 07.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE FOR CUSTOMER RELATIONSHIP MANAGEMENT (CRM), BY REGION, 2020–2030 ($MILLION)
TABLE 08.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE FOR DATA ANALYTICS AND VISUALIZATION, BY REGION, 2020–2030 ($MILLION)
TABLE 09.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE FOR FRAUD DETECTION, BY REGION, 2020–2030 ($MILLION)
TABLE 10.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 11.GLOBAL AI IN BANKING MARKET REVENUE FOR SERVICE, BY REGION, 2020–2030 ($MILLION)
TABLE 12.GLOBAL AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 13.GLOBAL AI IN BANKING MARKET REVENUE FOR LARGE ENTERPRISE, BY REGION, 2020–2030 ($MILLION)
TABLE 14.GLOBAL AI IN BANKING MARKET REVENUE FOR OFF-SITE, BY REGION, 2020–2030 ($MILLION)
TABLE 15.GLOBAL AI IN BANKING MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 16.GLOBAL AI IN BANKING MARKET REVENUE FOR RISK MANAGEMENT COMPLIANCE & SECURITY, BY REGION, 2020–2030 ($MILLION)
TABLE 17.GLOBAL AI IN BANKING MARKET REVENUE FOR CUSTOMER SERVICE, BY REGION, 2020–2030 ($MILLION)
TABLE 18.GLOBAL AI IN BANKING MARKET REVENUE FOR BACK OFFICE/OPERATIONS, BY REGION, 2020–2030 ($MILLION)
TABLE 19.GLOBAL AI IN BANKING MARKET REVENUE FOR FINANCIAL ADVISORY, BY REGION, 2020–2030 ($MILLION)
TABLE 20.GLOBAL AI IN BANKING MARKET REVENUE FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 21.GLOBAL AI IN BANKING MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 22.GLOBAL AI IN BANKING MARKET REVENUE FOR MACHINE LEARNING & DEEP LEARNING, BY REGION, 2020–2030 ($MILLION)
TABLE 23.GLOBAL AI IN BANKING MARKET REVENUE FOR NATURAL LANGUAGE PROCESSING (NLP), BY REGION, 2020–2030 ($MILLION)
TABLE 24.GLOBAL AI IN BANKING MARKET REVENUE FOR COMPUTER VISION, BY REGION, 2020–2030 ($MILLION)
TABLE 25.GLOBAL AI IN BANKING MARKET REVENUE FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 26.AI IN BANKING MARKET REVENUE, BY REGION, 2020–2030 ($MILLION)
TABLE 27.NORTH AMERICA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 28.NORTH AMERICA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 29.NORTH AMERICA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 30.NORTH AMERICA AI IN BANKING MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 31.NORTH AMERICA AI IN BANKING MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 32.NORTH AMERICA AI IN BANKING MARKET REVENUE, BY COUNTRY, 2020–2028 ($MILLION)
TABLE 33.U.S. AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 34.U.S. AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 35.U.S. AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 36.U.S. AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 37.U.S. AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 38.CANADA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 39.CANADA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 40.CANADA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 41.CANADA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 42.CANADA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 43.EUROPE AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 44.EUROPE AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 45.EUROPE AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 46.EUROPE AI IN BANKING MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 47.EUROPE AI IN BANKING MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 48.EUROPE AI IN BANKING MARKET REVENUE, BY COUNTRY, 2020–2028 ($MILLION)
TABLE 49.UK AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 50.UK AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 51.UK AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 52.UK AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 53.UK AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 54.GERMANY AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 55.GERMANY AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 56.GERMANY AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 57.GERMANY AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 58.GERMANY AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 59.FRANCE AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 60.FRANCE AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 61.FRANCE AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 62.FRANCE AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 63.FRANCE AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 64.ITALY AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 65.ITALY AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 66.ITALY AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 67.ITALY AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 68.ITALY AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 69.SPAIN AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 70.SPAIN AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 71.SPAIN AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 72.SPAIN AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 73.SPAIN AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 74.NETHERLANDS AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 75.NETHERLANDS AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 76.NETHERLANDS AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 77.NETHERLANDS AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 78.NETHERLANDS AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 79.REST OF EUROPE AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 80.REST OF EUROPE AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 81.REST OF EUROPE AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 82.REST OF EUROPE AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 83.REST OF EUROPE AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 84.ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 85.ASIA-PACIFIC AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 86.ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 87.ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 88.ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 89.ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY COUNTRY, 2020–2028 ($MILLION)
TABLE 90.CHINA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 91.CHINA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 92.CHINA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 93.CHINA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 94.CHINA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 95.JAPAN AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 96.JAPAN AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 97.JAPAN AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 98.JAPAN AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 99.JAPAN AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 100.INDIA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 101.INDIA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 102.INDIA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 103.INDIA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 104.INDIA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 105.AUSTRALIA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 106.AUSTRALIA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 107.AUSTRALIA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 108.AUSTRALIA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 109.AUSTRALIA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 110.SOUTH KOREA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 111.SOUTH KOREA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 112.SOUTH KOREA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 113.SOUTH KOREA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 114.SOUTH KOREA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 115.REST OF ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 116.REST OF ASIA-PACIFIC AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 117.REST OF ASIA-PACIFIC AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 118.REST OF ASIA-PACIFIC AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 119.REST OF ASIA-PACIFIC AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 120.LAMEA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 121.LAMEA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 122.LAMEA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 123.LAMEA AI IN BANKING MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 124.LAMEA AI IN BANKING MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 125.LAMEA AI IN BANKING MARKET REVENUE, BY COUNTRY, 2020–2028 ($MILLION)
TABLE 126.LATIN AMERICA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 127.LATIN AMERICA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 128.LATIN AMERICA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 129.LATIN AMERICA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 130.LATIN AMERICA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 131.MIDDLE EAST AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 132.MIDDLE EAST AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 133.MIDDLE EAST AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 134.MIDDLE EAST AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 135.MIDDLE EAST AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 136.AFRICA AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 137.AFRICA AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
TABLE 138.AFRICA AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
TABLE 139.AFRICA AI IN BANKING SERVICE MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 140.AFRICA AI IN BANKING SERVICE MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 141.AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 142.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 143.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 144.AMAZON WEB SERVICES, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 145.BIGML, INC.: KEY EXECUTIVES
TABLE 146.BIGML, INC.: COMPANY SNAPSHOT
TABLE 147.BIGML, INC.: PRODUCT PORTFOLIO
TABLE 148.CISCO SYSTEM INC.: KEY EXECUTIVES
TABLE 149.CISCO SYSTEM INC.: COMPANY SNAPSHOT
TABLE 150.CISCO SYSTEM INC.: OPERATING SEGMENTS
TABLE 151.CISCO SYSTEM INC.: PRODUCT PORTFOLIO
TABLE 152.FAIR ISAAC CORPORATION: KEY EXECUTIVE
TABLE 153.FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
TABLE 154.FAIR ISAAC CORPORATION: OPERATING SEGMENTS
TABLE 155.FAIR ISAAC CORPORATION: PRODUCT PORTFOLIO
TABLE 156.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: KEY EXECUTIVES
TABLE 157.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY SNAPSHOT
TABLE 158.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: OPERATING SEGMENTS
TABLE 159.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: PRODUCT PORTFOLIO
TABLE 160.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 161.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 162.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 163.IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 164.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 165.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 166.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 167.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 168.RAPIDMINER, INC.: KEY EXECUTIVES
TABLE 169.RAPIDMINER, INC.: COMPANY SNAPSHOT
TABLE 170.RAPIDMINER, INC.: PRODUCT PORTFOLIO
TABLE 171.SAP SE: KEY EXECUTIVES
TABLE 172.SAP SE: COMPANY SNAPSHOT
TABLE 173.SAP SE: OPERATING SEGMENTS
TABLE 174.SAP SE: PRODUCT PORTFOLIO
TABLE 175.SAS INSTITUTE INC.: KEY EXECUTIVES
TABLE 176.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 177.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.GLOBAL AI IN BANKING MARKET SNAPSHOT, BY SEGMENTATION, 2021–2030
FIGURE 03.AI IN BANKING MARKET SNAPSHOT, BY REGION, 2021–2030
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07.LOW-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 08.MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 09.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 10.LOW-TO-MODERATE COMPETITIVE RIVALRY
FIGURE 11.MARKET EVOLUTION/INDUSTRY ROADMAP
FIGURE 12.GLOBAL AI IN BANKING MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR SOLUTION, BY COUNTRY, 2020 & 2030(%)
FIGURE 14.GLOBAL AI IN BANKING SOLUTION MARKET REVENUE, BY TYPE, 2020–2030 ($MILLION)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING SOLUTION MARKET FOR CHATBOT, BY COUNTRY, 2020 & 2030(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING SOLUTION MARKET FOR CUSTOMER BEHAVIOR ANALYTICS, BY COUNTRY, 2020 & 2030(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING SOLUTION MARKET FOR CUSTOMER RELATIONSHIP MANAGEMENT (CRM), BY COUNTRY, 2020 & 2030(%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING SOLUTION MARKET FOR DATA ANALYTICS AND VISUALIZATION, BY COUNTRY, 2020 & 2030(%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING SOLUTION MARKET FOR FRAUD DETECTION, BY COUNTRY, 2020 & 2030(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING SOLUTION MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR SERVICE, BY COUNTRY, 2020 & 2030(%)
FIGURE 22.GLOBAL AI IN BANKING MARKET REVENUE, BY ENTERPRISE SIZE, 2020–2030 ($MILLION)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR LARGE ENTERPRISE, BY COUNTRY, 2020 & 2030(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR OFF-SITE, BY COUNTRY, 2020 & 2030(%)
FIGURE 25.GLOBAL AI IN BANKING MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR RISK MANAGEMENT COMPLIANCE & SECURITY, BY COUNTRY, 2020 & 2030(%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR CUSTOMER SERVICE, BY COUNTRY, 2020 & 2030(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR BACK OFFICE/OPERATIONS, BY COUNTRY, 2020 & 2030(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR FINANCIAL ADVISORY, BY COUNTRY, 2020 & 2030(%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030(%)
FIGURE 31.GLOBAL AI IN BANKING MARKET REVENUE, BY TECHNOLOGY, 2020–2030 ($MILLION)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR MACHINE LEARNING & DEEP LEARNING, BY COUNTRY, 2020 & 2030(%)
FIGURE 33.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR NATURAL LANGUAGE PROCESSING (NLP), BY COUNTRY, 2020 & 2030(%)
FIGURE 34.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR COMPUTER VISION, BY COUNTRY, 2020 & 2030(%)
FIGURE 35.COMPARATIVE SHARE ANALYSIS OF GLOBAL AI IN BANKING MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030(%)
FIGURE 36.U.S. AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 37.CANADA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 38.UK AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 39.GERMANY AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 40.FRANCE AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 41.ITALY AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 42.SPAIN AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 43.NETHERLANDS AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 44.REST OF EUROPE AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 45.CHINA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 46.JAPAN AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 47.INDIA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 48.AUSTRALIA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 49.SOUTH KOREA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 50.REST OF ASIA-PACIFIC AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 51.LATIN AMERICA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 52.MIDDLE EAST AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 53.AFRICA AI IN BANKING MARKET REVENUE, 2020–2030 ($MILLION)
FIGURE 54.KEY PLAYER POSITIONING ANALYSIS: GLOBAL AI IN BANKING MARKET
FIGURE 55.COMPETITIVE DASHBOARD
FIGURE 56.COMPETITIVE DASHBOARD
FIGURE 57.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 58.TOP WINNING STRATEGIES, BY YEAR, 2020-2021
FIGURE 59.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2019-2021
FIGURE 60.TOP WINNING STRATEGIES, BY COMPANY, 2020-2021
FIGURE 61.AMAZON WEB SERVICES, INC.: REVENUE, 2018–2020 ($MILLION)
FIGURE 62.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 63.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 64.CISCO SYSTEM INC.: REVENUE, 2018–2020 ($MILLION)
FIGURE 65.CISCO SYSTEM INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 66.CISCO SYSTEM INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 67.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 68.FAIR ISAAC CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 69.FAIR ISAAC CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 70.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 71.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: REVENUE, 2018–2020 ($MILLION)
FIGURE 72.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 73.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 74.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 75.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 76.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 77.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 78.MICROSOFT CORPORATION: REVENUE, 2019–2020 ($MILLION)
FIGURE 79.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 80.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 81.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 82.SAP SE: REVENUE, 2018–2020 ($MILLION)
FIGURE 83.SAP SE: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 84.SAP SE: REVENUE SHARE BY REGION, 2020 (%)
The adoption of AI in banking solutions has increased over the years to help organizations monitor production processes and to provide enhanced customer services. In addition, AI in banking technology is being used across a number of applications to help drive productivity, improve efficiency, and save people time and organizational funds. Furthermore, AI in banking tools is used to clean data sets, give predictions, improve decision-making, and to respond to customer service needs, which are expected to fuel the market growth. In addition, surge in adoption of cloud as well as mobile applications is expected to drive the growth of the market.
Key providers of AI in banking market such as SAP SE, International Business Machines Corporation, and Microsoft Corporation account for a significant share in the market. For instance, Saxo Bank, a leading Danish investment bank, managed to drastically reduce the time it takes to onboard new customers and get them trading on its platform, owing to investments in data science and advanced AI technologies by automating repeating and time-consuming tasks and provide better time management of workers.
Furthermore, financial institutes are collaborating with AI companies to enhance their existing AI system for better and secure systems. For instance, in August 2021, RBL Bank partnered with Amazon Web Services (AWS) to strengthen its AI-powered banking solutions and drive digital transformation at the bank, adding significant value to the bank’s innovative offerings, saving costs, and tightening risk controls. In addition, it is leveraging Amazon Textract, a machine learning service that automatically extracts text, handwriting, and data from scanned documents, across the bank’s risk and operations divisions to analyze documents such as financial statements, stock statements, and stock audit reports to predict default risk.
Moreover, many open banking platforms are leveraging solutions from financial technology providers to improve their management technology. For instance, in September 2020, open banking platform, Tink leveraged open banking technology from Enel to develop digital financial solutions for its clients in Italy and Europe. With the agreement, Tink will be able to support its clients in the daily management of their finances, with an innovative and engaging solution that uses machine learning to provide tailored and personalized advice. Thus, such developments across the globe drive the growth of the market.
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