Product Code: BF_184334 / A03986
Artificial intelligence (AI) in finance is transforming the BFSI industry, as AI is helping the financial industry to streamline and optimize processes ranging from credit decisions to quantitative trading and financial risk management. In addition, advanced machine learning technology is being used to help organizations to improve customer experience and to enhance their market share. Furthermore, it provides various solutions to the baking sector to replace routine manual work to automation and to increase productive. In addition, AI and advanced machine learning help in reducing the credit default frauds by monitoring transactions to detect suspicious transactions with compliance concerns.
Improvement in data collection technology among the banks and financial institutions positively impacts the growth of the market. In addition, increase in investment by BFSI companies in AI and machine learning 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 the growth of the market. On the contrary, surge in adoption of modern applications in BFSI sector is expected to offer remunerative opportunities for the expansion of the market during the forecast period.
The global AI and advance machine learning in BFSI market is segmented into component, deployment model, enterprise size, application and region. Depending on component, the market is segregated into solution and services. On the basis of deployment model, it is categorized into on-premise and cloud. Depending on enterprise size, it is fragmented into large enterprises and SMEs. Based on application, the market is divided into fraud & risk management, customer segmentation, sales & marketing, digital assistance and others. Region wise, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the AI and advance machine learning in BFSI market analysis 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 industry.
Key Benefits For Stakeholders
The study provides an in-depth analysis of global AI and advance machine learning in BFSI market forecast along with the current trends and future estimations to elucidate the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on global market is provided in the report.
Porter's five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Key Market Segments
By Component
- Solution
- Services
- Implementation & Integration Service
- Training & Support Service
- Consulting Service
By Deployment Model
By Enterprise Size
By Application
- Fraud & Risk Management
- Customer Segmentation
- Sales & Marketing
- Digital Assistance
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Netherlands
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- 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
- SAS Institute Inc.
TABLE OF CONTENTS
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 artificial intelligence and advanced machine learning in BFSI 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 BFSI companies in AI and machine learning
- 3.4.1.2.Increasing preferences for personalized financial services
- 3.4.1.3.Increase in collaboration between financial institutes and AI & machine learning solution company
- 3.4.2.Restraint
- 3.4.2.1.Higher deployment cost of AI and advanced machine learning
- 3.4.2.2.Lack of skilled labor
- 3.4.3.Opportunity
- 3.4.3.1.Increase in government initiatives and growth in investments to leverage the AI technology
- 3.5.Market evolution/industry roadmap
- 3.6.Impact of government regulations on the global artificial intelligence and advanced machine learning in BFSI market
- 3.7.COVID-19 impact analysis on AI and Advanced Machine Learning in BFSI 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
CHAPTER 4:GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI 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
- 4.3.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 ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY DEPLOYMENT MODEL
- 5.1.Overview
- 5.2.On-premise
- 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.Cloud-based
- 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 ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY ENTERPRISE SIZE
- 6.1.Overview
- 6.2.Large enterprise
- 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.SMEs
- 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
CHAPTER 7:GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY APPLICATION
- 7.1.Overview
- 7.2.Fraud & Risk Management
- 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.Customer Segmentation
- 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.Sales & Marketing
- 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.Digital Assistance
- 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
- 7.6.Others
- 7.6.1.Key market trends, growth factors, and opportunities
- 7.6.2.Market size and forecast, by region
- 7.6.3.Market analysis, by country
CHAPTER 8:GOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI 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 service type
- 8.2.4.Market size and forecast, by deployment model
- 8.2.5.Market size and forecast, by enterprise size
- 8.2.6.Market size and forecast, by application
- 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 service type
- 8.2.7.1.3.Market size and forecast, by deployment model
- 8.2.7.1.4.Market size and forecast, by enterprise size
- 8.2.7.1.5.Market size and forecast, by application
- 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 service type
- 8.2.7.2.3.Market size and forecast, by deployment model
- 8.2.7.2.4.Market size and forecast, by enterprise size
- 8.2.7.2.5.Market size and forecast, by application
- 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 service type
- 8.3.4.Market size and forecast, by deployment model
- 8.3.5.Market size and forecast, by enterprise size
- 8.3.6.Market size and forecast, by application
- 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 service type
- 8.3.7.1.3.Market size and forecast, by deployment model
- 8.3.7.1.4.Market size and forecast, by enterprise size
- 8.3.7.1.5.Market size and forecast, by application
- 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 service type
- 8.3.7.2.3.Market size and forecast, by deployment model
- 8.3.7.2.4.Market size and forecast, by enterprise size
- 8.3.7.2.5.Market size and forecast, by application
- 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 service type
- 8.3.7.3.3.Market size and forecast, by deployment model
- 8.3.7.3.4.Market size and forecast, by enterprise size
- 8.3.7.3.5.Market size and forecast, by application
- 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 service type
- 8.3.7.4.3.Market size and forecast, by deployment model
- 8.3.7.4.4.Market size and forecast, by enterprise size
- 8.3.7.4.5.Market size and forecast, by application
- 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 service type
- 8.3.7.5.3.Market size and forecast, by deployment model
- 8.3.7.5.4.Market size and forecast, by enterprise size
- 8.3.7.5.5.Market size and forecast, by application
- 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 service type
- 8.3.7.6.3.Market size and forecast, by deployment model
- 8.3.7.6.4.Market size and forecast, by enterprise size
- 8.3.7.6.5.Market size and forecast, by application
- 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 service type
- 8.3.7.7.3.Market size and forecast, by deployment model
- 8.3.7.7.4.Market size and forecast, by enterprise size
- 8.3.7.7.5.Market size and forecast, by application
- 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 service type
- 8.4.4.Market size and forecast, by deployment model
- 8.4.5.Market size and forecast, by enterprise size
- 8.4.6.Market size and forecast, by application
- 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 service type
- 8.4.7.1.3.Market size and forecast, by deployment model
- 8.4.7.1.4.Market size and forecast, by enterprise size
- 8.4.7.1.5.Market size and forecast, by application
- 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 service type
- 8.4.7.2.3.Market size and forecast, by deployment model
- 8.4.7.2.4.Market size and forecast, by enterprise size
- 8.4.7.2.5.Market size and forecast, by application
- 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 service type
- 8.4.7.3.3.Market size and forecast, by deployment model
- 8.4.7.3.4.Market size and forecast, by enterprise size
- 8.4.7.3.5.Market size and forecast, by application
- 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 service type
- 8.4.7.4.3.Market size and forecast, by deployment model
- 8.4.7.4.4.Market size and forecast, by enterprise size
- 8.4.7.4.5.Market size and forecast, by application
- 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 service type
- 8.4.7.5.3.Market size and forecast, by deployment model
- 8.4.7.5.4.Market size and forecast, by enterprise size
- 8.4.7.5.5.Market size and forecast, by application
- 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 service type
- 8.4.7.6.3.Market size and forecast, by deployment model
- 8.4.7.6.4.Market size and forecast, by enterprise size
- 8.4.7.6.5.Market size and forecast, by application
- 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 service type
- 8.5.4.Market size and forecast, by deployment model
- 8.5.5.Market size and forecast, by enterprise size
- 8.5.6.Market size and forecast, by application
- 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 service type
- 8.5.7.1.3.Market size and forecast, by deployment model
- 8.5.7.1.4.Market size and forecast, by enterprise size
- 8.5.7.1.5.Market size and forecast, by application
- 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 service type
- 8.5.7.2.3.Market size and forecast, by deployment model
- 8.5.7.2.4.Market size and forecast, by enterprise size
- 8.5.7.2.5.Market size and forecast, by application
- 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 service type
- 8.5.7.3.3.Market size and forecast, by deployment model
- 8.5.7.3.4.Market size and forecast, by enterprise size
- 8.5.7.3.5.Market size and forecast, by application
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 Executives
- 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
- 10.8.MICROSOFT CORPORATION
- 10.8.1.Company overview
- 10.8.2.Key executives
- 10.8.3.Company snapshot
- 10.8.4.Operating business segments
- 10.8.5.Product portfolio
- 10.8.6.R&D expenditure
- 10.8.7.Business performance
- 10.9.RapidMiner, Inc.
- 10.9.1.Company overview
- 10.9.2.Key Executives
- 10.9.3.Company snapshot
- 10.9.4.Product portfolio
- 10.9.5.Key strategic moves and developments
- 10.10.SAP SE
- 10.10.1.Company overview
- 10.10.2.Key Executives
- 10.10.3.Company snapshot
- 10.10.4.Operating business segments
- 10.10.5.Product portfolio
- 10.10.6.R&D Expenditure
- 10.10.7.Business performance
- 10.10.8.Key strategic moves and developments
- 10.11.SAS INSTITUTE INC.
- 10.11.1.Company overview
- 10.11.2.Key Executives
- 10.11.3.Company snapshot
- 10.11.4.Product portfolio
- 10.11.5.Key strategic moves and developments