Artificial Intelligence In Banking Market Size To Reach $143.56Bn By 2030
Artificial Intelligence In Banking Market Growth & Trends
The global artificial intelligence in banking market size
is expected to reach USD 143.56 billion by 2030, growing at a CAGR of 31.8%
from 2024 to 2030, according to a new report by Grand View Research, Inc. AI's
integration in banking offers personalized financial guidance, customized
product suggestions, and customized services based on individual behaviors and
preferences. By analyzing extensive data sets, AI enables banks to understand
customers on a deeper level, enhancing the overall experience. This technology
optimizes risk assessment, drives operational efficiency, strengthens security
measures against fraud, and empowers data-driven decision-making, ultimately
propelling the banking market forward through improved customer satisfaction,
cost savings, and innovative service offerings.
Technological advancements serve as the engine propelling the
banking market into new frontiers. Innovations such as artificial
intelligence, machine learning, blockchain, and advanced analytics redefine
traditional banking paradigms. Machine learning refines algorithms, enhancing
accuracy in decision-making and customer service. Blockchain ensures secure,
transparent, and efficient transactions. Moreover, mobile banking, contactless
payments, and biometric authentication optimize convenience and accessibility.
These advancements streamline operations, reduce costs, and also strengthen a
more inclusive banking environment, satisfying diverse customer needs. As
technology evolves, it continually transforms the banking landscape, driving
efficiency, security, and customer-centricity.
Digital transformation in banking transcends mere technology
adoption; it's a holistic transformation of the banking ecosystem towards
agility, customer-centricity, and technological prowess. Its core objective is
aligning with evolving customer needs enhancing operational efficiency and
fortifying security standards. For instance, in June 2023, Infosys Limited
signed a deal with Danske Bank, a Danish multinational banking and financial
services corporation, to expedite its digital transformation endeavors and
generate increased value for its customers through artificial intelligence
(AI). The company has entered a five-year agreement valued at $454 million,
with the option for renewal for an additional year, up to three times.
Request a free sample copy or view report summary: https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-banking-market-report
Artificial Intelligence In Banking Market Report Highlights
- The Risk
Management segment is dominated the market with a significant market share
in 2023. Effective risk management systems help prevent financial losses
due to market fluctuations, credit defaults, operational failures, or
cyber threats. This motivates financial institutions to invest
significantly in robust risk management infrastructure
- The Natural
Language Processing (NLP) segment has seized a substantial market share,
asserting dominance in the industry as of 2023. NLP algorithms process
vast amounts of financial news, reports, and social media data to predict
market trends and sentiment analysis for investment decisions
- Banks in North
America have access to vast amounts of consumer data, providing a rich
source for AI algorithms to analyze and derive insights. This data
abundance fuels the development of robust AI models for various banking
applications
- The large
Enterprise segment is dominated the market with a significant market share
in 2023. Having extensive and diverse datasets enables large enterprises
to train more accurate and sophisticated AI models. These models can
better understand customer behaviors, predict trends, identify potential
risks, and offer personalized services.
- Customers
increasingly prefer digital and self-service options. AI-powered
assistants fulfill this need, encouraging the adoption of technological
advancements and positioning banks as innovative and customer-centric
institutions
- The integration
of AI-driven personalized recommendations and services in banking
fundamentally transforms customer relationships, propelling market growth.
Using individual spending behaviors, investment tendencies, and financial
objectives, banks create customized solutions that perfectly match each
customer's preferences and requirements
Artificial Intelligence In Banking Market Segmentation
Grand View Research has segmented the global artificial
intelligence in banking market based on component, application, technology,
enterprise size, and region:
Artificial Intelligence In Banking Component Outlook (Revenue, USD
Million, 2017 - 2030)
- Service
- Solution
Artificial Intelligence In Banking Application Outlook (Revenue,
USD Million, 2017 - 2030)
- Risk Management
- Customer Service
- Virtual
Assistant
- Financial
Advisory
- Others
Artificial Intelligence In Banking Technology Outlook (Revenue,
USD Million, 2017 - 2030)
- Natural Language
Processing (NLP)
- Machine Learning
& Deep Learning
- Computer vision
- Others
Artificial Intelligence In Banking Enterprise Size Outlook
(Revenue, USD Million, 2017 - 2030)
- Large Enterprise
- SMEs
Artificial Intelligence In Banking Regional Outlook (Revenue, USD
Million, 2017 - 2030)
- North America
- U.S.
- Canada
- Europe
- Germany
- U.K.
- France
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Latin America
- Mexico
- Brazil
- Middle East and
Africa
- Kingdom of
Saudi Arabia (KSA)
- UAE
- South Africa
List of Key Players in the Artificial Intelligence In Banking
Market
- Amazon Web
Services, Inc.
- Capital One
- Cisco Systems,
Inc.
- FAIR ISAAC
CORPORATION (FICO)
- Goldman Sachs
- International
Business Machines Corporation
- JPMorgan Chase
& Co.
- NVIDIA
Corporation
- RapidMiner
- SAP SE
Browse Full Report: https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-banking-market-report
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