Table of Content

1 INTRODUCTION
1.1 Study Deliverables
1.2 Scope of the Study
1.3 Study Assumptions


2 RESEARCH METHODOLOGY


3 EXECUTIVE SUMMARY


4 MARKET DYNAMICS
4.1 Market Overview
4.2 Industry Attractiveness - Porter’s Five Force Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Buyers/Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Emerging Use-cases for AI in Financial Technology?
4.4 Technology Snapshot
4.5 Introduction to Market Dynamics
4.6 Market Drivers
4.6.1 Increasing Demand for Process Automation Among Financial Organizations
4.6.2 Increasing Availability of Data Sources
4.7 Market Restraints
4.7.1 Need for Skilled Workforce
4.8 Assessment of Impact of Covid-19 on the Industry


5 MARKET SEGMENTATION
5.1 Offering
5.1.1 Solutions
5.1.2 Services
5.2 Deployment
5.2.1 Cloud
5.2.2 On-premise
5.3 Application
5.3.1 Chatbots
5.3.2 Credit Scoring
5.3.3 Quantitative and Asset Management
5.3.4 Fraud Detection
5.3.5 Other Applications
5.4 Geography
5.4.1 North America
5.4.2 Europe
5.4.3 Asia-Pacific
5.4.4 Rest of the World


6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 IBM Corporation
6.1.2 Intel Corporation
6.1.3 ComplyAdvantage.com
6.1.4 Narrative Science
6.1.5 Amazon Web Services Inc.
6.1.6 IPsoft Inc.
6.1.7 Next IT Corporation
6.1.8 Microsoft Corporation
6.1.9 Onfido
6.1.10 Ripple Labs Inc.
6.1.11 Active.Ai
6.1.12 TIBCO Software (Alpine Data Labs)
6.1.13 Trifacta Software Inc.
6.1.14 Data Minr Inc.
6.1.15 Zeitgold GmbH


7 INVESTMENT ANALYSIS


8 MARKET? OPPORTUNITIES AND FUTURE TRENDS