Global Artificial Intelligence in BFSI Market Analysis, Regional Outlook, Segments And Forecast To 2023

Artificial intelligence in BFSI refers to the simulation of human intelligence into machines with the help of sophisticated machine learning, cognitive computing, and natural language processing algorithms that help in customer relationship management, communication, and recruitment & wealth management.The need to provide better customer support, enhance process automation, and improve decision-making process generates the demand for artificial intelligence in the BFSI market.

The global artificial intelligence in BFSI market is expected to register substantial growth in the near future, attributed to a rapid demand for anti-money laundering (AML) pattern detector, rapid digitalization in the financial market, and adoption of chatbots in banking and financial services. The need for personalized financial services and rise in demand for data-driven solutions for imparting decision-making capability further drive the market growth.

Key Players:
AlphaSense Inc., Brighterion, Inc., IBM Corporation, IPsoft Inc., Infosys Limited, Inbenta Technologies Inc., MicroStrategy Incorporated, Google Inc., Microsoft Corporation, and Nvidia Corporation

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Geographically, North America is the largest market for AI in BFSI industry, owing to higher usage in big data and analytics in this region. Continuous financial support from the government along with technological upgradation has been helping to grow the North American market. The AI market in BFSI is also expected to witness the fastest growth in Asia-Pacific during the forecast period, due to increasing adoption of robo advisors and usage of application integration in the banking industry. Japan was the largest AI market in Asia-Pacific as well as globally in 2016, followed by China.

This study estimates the factors that are boosting the development of the global Artificial Intelligence in BFSI market. On the basis of key principles segments such as end-users, application, product, technology, and region are surveyed comprehensively of the global Artificial Intelligence in BFSI market. The thorough examination has been done in this report to bring about the share and position of global Artificial Intelligence in BFSI market. In the report, the complete analysis of the growth revenue is offered.

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Drivers and restraints impacting the growth of the market have also been analyzed. A segmentation of the global Artificial Intelligence in BFSI market has been done for the purpose of a detailed study. The profiling of the leading players is done in order to judge the current competitive scenario. The competitive landscape is assessed by taking into consideration many important factors such as business growth, recent developments, product pipeline, and others. The research report further makes use of graphical representations such as tables, info graphics, and charts to forecast figures and historical data of the global Artificial Intelligence in BFSI market.

Table of Contents:
Global Artificial Intelligence in BFSI Market Research Report 2018-2023
Chapter 1 Artificial Intelligence in BFSI Market Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region (2018-2023)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2018-2023)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Artificial Intelligence in BFSI Market Forecast (2018-2023)
Chapter 13 Appendix

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