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Abstract The report analyzes and forecast AI in BFSI market on a global and regional level. The study offers past data of 2016 to 2018 along with a forecast from 2019 to 2025 based on revenue (USD Million). Assessment of AI in BFSI market dynamics gives a brief thought about the drivers and restraints for the AI in BFSI market along with the impact they have on the demand over the years to come. Additionally, the report also includes the study of opportunities available in the AI in BFSI market on a global level. The report gives a transparent view on the AI in BFSI market. We have included a detailed competitive scenario and portfolio of leading vendors operative in AI in BFSI market. To understand the competitive landscape in the AI in BFSI market, an analysis of Porter’s Five Forces model for the AI in BFSI market has also been included. The study encompasses a market attractiveness analysis, wherein deployment type, technology, application, component, and regional segments are benchmarked based on their market size, growth rate, and general attractiveness. The study provides a crucial view on the AI in BFSI by segmenting the market based on deployment type, technology, application, component, and region. All the segments of AI in BFSI market have been analyzed based on present and future trends and the market is estimated from 2018 to 2025. Based on deployment type, global AI in BFSI market is bifurcated into cloud and on-premise. Machine learning, natural language processing, image processing & video recognition, cognitive computing and others form the technology segment of global AI in BFSI market. Back office/operation, customer service, financial advisory, risk management, compliance & security, and others are the application segment for AI in BFSI market. The component segment is divided into solution and service. The regional segmentation comprises the current and forecast demand for Middle East & Africa, North America, Asia Pacific, Latin America and Europe for AI in BFSI market with further bifurcation U.S., Canada, Mexico, UK, France, Germany, China, Japan, India, South Korea, Brazil, and Argentina among others is included in the report. The competitive profiling of noticeable players of AI in BFSI market includes company and financial overview, business strategies adopted by them, their recent developments and product offered by them which can help in assessing competition in the market. Noticeable players included in the report are Microsoft, Google, Intel, IBM, SAP, AWS, Salesforce, Oracle, Palantir, IPsoft, Inbenta technologies, Lexalytics, Interaction, and Next IT among others The report segment of global AI in BFSI market as follows: Global AI in BFSI Market: Deployment Type Segment Analysis Cloud On-premise Global AI in BFSI Market: Technology Segment Analysis Machine Learning Natural Language Processing Image Processing & Video Recognition Cognitive Computing Others Global AI in BFSI Market: Application Segment Analysis Back Office/Operation Customer Service Financial Advisory Risk Management, Compliance & Security Others Global AI in BFSI Market: Component Segment Analysis Solution Service Global AI in BFSI Market: Regional Segment Analysis North America The U.S. Europe UK France Germany Asia Pacific China Japan India Latin America Brazil Middle East and Africa
Table of Contents Request Table Of Content Click To Request Sample Chapter 1. Preface 1.1. Report Description 1.1.1. Objective 1.1.2. Target Audience 1.1.3. Unique Selling Proposition (USP) & Offerings 1.2. Research Scope 1.3. Research Methodology 1.3.1. Market Research Process 1.3.2. Market Research Methodology 1.3.3. Level 1: Primary Research 1.3.4. Level 2: Secondary Research 1.3.5. Le | read more...