Press release
Artificial Intelligence in BFSI Market 2019 Global Industry: CAGR +28.0% and Top Players: Google Inc., Microsoft Corporation, Amazon Web Services Inc, IBM and more
Artificial Intelligence in BFSI
Artificial Intelligence (AI) is fast evolving as the go-to technology for companies across the world to personalise experience for individuals. The rudimentary applications AI include bring smarter chat-bots for customer service, personalising services for individuals, and even placing an AI robot for self-service at banks. Beyond these basic applications, banks can implement the technology for bringing in more efficiency to their back-office and even reduce fraud and security risks.
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Scope of the Report:
The global Artificial Intelligence (AI) in BFSI market is valued at 2500 million USD in 2017 and is expected to reach 11300 million USD by the end of 2023, growing at a CAGR of 28.7% between 2017 and 2023.
Artificial intelligence (AI) in banking, financial services and insurance (BFSI) is projected to grow significantly in the coming years. Positive rise of AI-based application in BFSI such as customer support, fraud detection, and improving employee efficiency, buoyed the AI in BFSI market.
This Study converges on the top players in the global Artificial Intelligence in BFSI market:
Google Inc., Microsoft Corporation, Amazon Web Services Inc, IBM Corporation, Avaamo Inc, Baidu Inc, Cape Analytics LLC, Oracle Corporation
Market Segment by Type, covers
Machine Learning (ML)
Natural Language processing (NLP)
Predictive Analytics
Machine Vision
Market Segment by Applications, can be divided into
Banking
Insurance
Wealth management
The report also provides the regional level of the Artificial Intelligence in BFSI market analysis and future outlook for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
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The report is designed to incorporate both qualitative and quantitative aspects of the Artificial Intelligence in BFSI Market with respect to each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as major drivers & restraining factors which will define the future growth of the market. Also covered segments company profile, type, and applications.
The report firstly introduced the Artificial Intelligence in BFSI basics: Definitions, segment classifications, outlook and market overview, product specifications, manufacturing processes, company profile analysis, cost structures, raw materials and so on. Moreover, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.
Some of the major questions are answered:
What are the different types of Artificial Intelligence in BFSI equipment and products?
What are the market trends and major developments patterns equipment’s and products?
Who are the key industry pioneers and what is their overall share in the global Artificial Intelligence in BFSI market?
What are the multiple used case scenarios considered under various end-users and applications for the market?
What are the different sales, marketing, and distribution channels in the global industry?
Avail complete report of this research with TOC and List of Figures at:
https://www.reportsmonitor.com/report/282633/Artificial-Intelligence-in-BFSI-Market
The global Artificial Intelligence in BFSI Market report covers the valuable data useful for the estimation of the market and comprehensive figures of the key players along with their growth estimation in the upcoming period. The report implements various elements to process the industry data. The global industry report presents the factors, such as gross margin, consumption, production, export, cost, growth rate, share, size and capacity utilization, impacting on the global Artificial Intelligence in BFSI Market.
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