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.
The Artificial Intelligence (AI) in BFSI market revenue was xx Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.

Considering the influence of COVID-19 on the global Artificial Intelligence (AI) in BFSI market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.

This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.

Under COVID-19 Outbreak, how the Artificial Intelligence (AI) in BFSI Industry will develop is also analyzed in detail in Chapter 1.8 of this report.

Major Players in Artificial Intelligence (AI) in BFSI market are:
Avaamo Inc
IBM Corporation
Microsoft Corporation
Amazon Web Services Inc
Baidu Inc
IPsoft
SAP
Oracle Corporation
Palantir
Google Inc
Salesforce

Most important types of Artificial Intelligence (AI) in BFSI products covered in this report are:
Machine Learning (ML)
Natural Language processing (NLP)
Predictive Analytics
Machine Vision

Most widely used downstream fields of Artificial Intelligence (AI) in BFSI market covered in this report are:
Banking
Insurance
Wealth management

Major Region

s or countries covered in this report:
North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others

In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.

In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.

In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.

Years considered for this report:

Historical Years:

2016-2020

Base Year:

2020

Estimated Year:

2021

Forecast Period:

2021-2026