AI and Automation in Banking Market to Witness Rapid Expansion, Reaching $229.55 Billion by 2034

Rapid increase in integration of AI and automation in banking sector due to it enabling data-driven decision-making and enhancing risk management

ROCKVILLE, MARYLAND, UNITED STATES, July 12, 2024 /EINPresswire.com/ -- The global integration of AI and automation in banking market is expected to reach a value of US$ 33.01 billion in 2024 and surge to US$ 229.55 billion by the end of 2034, according to a recently updated research report published by Fact.MR.

Banks across the world are providing their customers with AI-powered budget management tools that enhance their money management process and help them reach their financial goals. Additionally, as robo-advisors generally cater to investors with low resources, such as individuals and SMEs, they are becoming increasingly popular in the personalized financial services space.

Traditional data processing methods are being used by AI-powered chatbots to provide their clients with financial portfolios and services, including trading, retirement planning, and investments. Furthermore, as usage-based loan AI technologies are increasing, advanced methods are helping determine what interests are appropriate for each individual, which is contributing to the growth of AI and automation in banking market.

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The well-established banking sector in the United States is leading to the high integration of automation and artificial intelligence. Automation is being used to manage routine tasks such as data entry, compliance checks, and transaction processing for banks, significantly reducing operational costs and minimizing errors.

Key Takeaways from Market Study

The worldwide AI and automation in banking market is forecasted to boom at 21.4% CAGR through 2034.North America is estimated to hold 33% of the global market share in 2024.Worldwide revenue from natural language processing AI and automation in banking is poised to reach US$ 81.49 billion by 2034.

The East Asia market is projected to generate revenue worth US$ 59.68 billion by 2034-end. The market in South Korea is forecasted to expand at a CAGR of 23.1% from 2024 to 2034.China leads the East Asia market with 48.9% revenue share in 2024.

“More banks nowadays are using virtual assistants and chatbots powered by AI to offer individualized services and 24x7 client care,” says a Fact.MR analyst
Rapid Implementation of Deep & Machine Learning

Deep and machine learning are popular options for AI and automation solutions in the banking sector due to their ability to accurately and swiftly understand high amounts of complex financial data. These technologies are quite good at identifying patterns, identifying irregularities, and forecasting future events when it comes to tasks such as fraud detection, risk assessment, and tailored customer care. Using deep learning algorithms, banks are automating several of their tedious operations, thereby helping then make better decisions and gain insightful data from industry trends and consumer behavior.

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Serious Concerns Regarding Security and Privacy of Data

Because banks handle sensitive customer data, they must give data privacy and security a priority when using AI and automation technology. The integration of these cutting-edge technology is creating new points of vulnerability, which increases the risk of data breaches and attacks. Ensuring robust data security techniques, including encryption, secure access restrictions, and continuous monitoring, is crucial, notwithstanding their difficulty.

Because of the stringent regulatory requirements for data protection and the apprehension of potential data breaches, the banking sector is adopting AI and automation more slowly than anticipated. This is due to the fact that banks need to maintain the greatest levels of security and compliance while also fostering innovation.

Strong Emphasis on Reducing Errors and Accelerating Operations

The United States' well-established banking industry was a pioneer in the use of automation and artificial intelligence. Automation manages routine tasks like data input, compliance checks, and transaction processing for banks, significantly reducing operational costs and minimizing mistakes. By streamlining these tedious processes, banks benefit from enhanced accuracy and efficiency. As a result, resources may be reallocated to more strategically focused and high-value projects. This operational transformation has not only enhanced overall efficiency but also raised demand for AI and automation technology as banks see the tremendous benefits of utilizing these cutting-edge solutions.

Japan is quickly adopting cutting edge technologies in banking, including automation and artificial intelligence. The nation is renowned for its strong technological foundation and extensive use of cutting-edge technologies. In Japan, automation and artificial intelligence (AI) are widely used in banking and finance because they offer a number of advantages, including improved data analytics for better decision-making, sophisticated fraud detection mechanisms to increase security, superior customer service through AI-driven chatbots, and virtual assistance, among others.

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