Global AI in BFSI Market Size, Share and Forecast 2019-2025
The global AI in the BFSI market is estimated to grow significantly, at a CAGR of 34.3%, during the forecast period. The applications of AI in banking involve developing proactive risk management systems and achieving productivity gains. Regardless of the nascent stage of AI adoption, the profits have already been realized at numerous large-scale banks over the globe. Several banks have reported that investments in AI reduced their production costs and increased revenues significantly. The integration of AI in the BFSI sector can deliver efficient results, specifically for customer service. The benefits it is providing in the BFSI sector are expected to stimulate the growth of the global AI in the BFSI market in the years to come.
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Chatbots have been incorporated into websites to provide immediate service to customers. AI applied to personal finance applications, such as Mint or Turbo Tax, is upending financial institutions. Applications such as these could collect personal data and provide financial advice. With AI-powered automation Some of the major BFSI companies that have incorporated AI-
·
J.P.
Morgan Chase has deployed ML-based technique, majorly for card fraud and
targeted customer offers.
·
DBS
Bank has incorporated natural language processing (NLP) for reviewing customer chat logs to enhance the quality of
customer interaction.
·
HSBC
has deployed AI virtual assistance technology
for helping business customers to navigate product details.
·
Santander
has installed bank speech recognition technology in its infrastructure for
securing app-based transactions.
·
Goldman
Sachs uses ML in its “AppBank” to automate corporate system management.
·
CapOne
has deployed an ML-based solution for personalized coupons/alerts and payment
spend analytics.
In the near future, AI is expected to empower banks by completely automating its knowledge workforce and making the intelligent process of automation that can be able to handle cyber risks and competition from the fintech players. The technology is also expected to evolve with the introduction of more enhanced and improved technology and its novel applications in the BFSI sector. AI will leverage machine and human capabilities optimally to deliver personalized services and drive operational and cost efficiencies. These impressive benefits are expected to become a part of AI technology in the BFSI sector in the coming decades.
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Global AI in
BFSI Market- Segmentation
·
Hardware
·
Software
& Services
By
Application
·
Chatbots
·
Fraud
Detection & Prevention
·
Anti-Money
Laundering
·
Customer
Relationship Management
·
Others
Global AI in
BFSI Market– Segment by Region
North America
·
United States
·
Canada
Europe
·
UK
·
Germany
·
Spain
·
France
·
Italy
·
Rest of Europe
Asia-Pacific
·
India
·
China
·
Japan
·
South Korea
·
Rest of APAC
Rest of The World
·
Latin
America
·
Middle
East & Africa
Company Profiles
·
Avaamo, Inc.
·
Creamfinance
·
Descartes Labs, Inc.
·
Digital Reasoning Systems, Inc.
·
Google LLC
·
IBM Corp.
·
Inbenta Technologies Inc.
·
Intel Corp.
·
Interactions LLC
·
IPsoft Inc.
·
Kensho Technologies, LLC
·
Lexalytics, Inc.
·
Microsoft Corp.
·
Next IT Corp.
·
Oliver Wyman
·
OpenText Corp.
·
Oracle Corp.
·
Palantir Technologies Inc.
·
ZestFinance, Inc.
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