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Global Artificial Intelligence in BFSI Market Size, Status and Forecast 2021-2027

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. In 2021, the global Artificial Intelligence in BFSI market size will be US$ 3060.1 million and it is expected to reach US$ 8321.6 million by the end of 2027, with a CAGR of 18.1% during 2021-2027. This report focuses on the global Artificial Intelligence in BFSI status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Artificial Intelligence in BFSI development in North America, Europe, Japan, China, Southeast Asia, India, etc. Global Artificial Intelligence in BFSI Scope and Market Size Artificial Intelligence in BFSI market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in BFSI market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027. Segment by Type Recommendation Engines Chatbots Predictive Analytics Others Segment by Application Banking Investment and Securities Management Insurance By Region North America Europe Japan China Southeast Asia India By Company Amazon Web Services, Inc. Google LLC IBM Corp. Microsoft Corp. Oracle Corp.
1 Report Overview 1.1 Study Scope 1.2 Market Analysis by Type 1.2.1 Global Artificial Intelligence in BFSI Market Size Growth Rate by Type (2021-2027) 1.2.2 Recommendation Engines 1.2.3 Chatbots 1.2.4 Predictive Analytics 1.2.5 Others 1.3 Market by Application 1.3.1 Global Artificial Intelligence in BFSI Market Share by Application (2021-
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About this Report
Report ID 390387
Category
  • Technology and Media
Published on 30-Dec-21
Number of Pages 99
Publisher Name QY Research
Editor Rating
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