Artificial Intelligence in Banking Market Size, Growth, Report 2033

The global artificial intelligence (AI) in banking market size was accounted for USD 19.90 billion in 2023 and is anticipated to be worth around USD 315.50 billion by 2033 with a CAGR of 31.83% from 2024 to 2033.

Artificial Intelligence (AI) in Banking Market Size 2024 to 2033

Key Points

  • North America led the artificial intelligence (AI) in banking market in 2023.
  • Asia Pacific is expected to witness the fastest growth in the market during the forecast period.
  • By component, the solution segment dominated the market in 2023.
  • By component, the service segment is expected to gain a significant share of the market during the forecast period.
  • By application, the risk management segment held the largest share of the market in 2023.
  • By application, the customer service segment is expected to increase its CAGR over the forecast period.
  • By technology, the natural language processing (NPL) segment accounted for the largest of the market in 2023.
  • By technology, the computer vision segment will grow rapidly in the market during the forecast period.
  • By enterprise size, the large enterprise segment accounted for the largest share of the market in 2023.
  • By enterprise size, the small & medium enterprises (SMEs) segment is expected to register significant growth in the market during the forecast period.

Artificial Intelligence in Banking Market Overview

The Artificial Intelligence (AI) in Banking market refers to the application of AI technologies to enhance various banking operations, services, and customer interactions. AI is used in banking to automate processes, improve customer service through chatbots, detect fraudulent activities, enhance risk management, and optimize decision-making processes. The market is experiencing significant growth as banks invest heavily in AI to stay competitive, improve operational efficiency, and provide better customer experiences. AI in banking encompasses a range of technologies including machine learning, natural language processing, robotic process automation, and predictive analytics.

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Artificial Intelligence in Banking Market Growth Factors

Several factors are driving the growth of AI in the banking market. The primary factor is the increasing demand for enhanced customer service and personalized banking experiences, which AI can provide through chatbots and virtual assistants. Additionally, the need for efficient risk management and fraud detection systems has propelled the adoption of AI. The growing volume of data generated by digital banking activities necessitates advanced analytics capabilities, which AI can offer. Furthermore, regulatory compliance requirements are pushing banks to adopt AI solutions that can ensure accurate and timely reporting.

Region Insights

The AI in banking market exhibits regional variations in adoption and growth. North America holds a significant share of the market due to the presence of major AI and banking firms, and early adoption of advanced technologies. Europe is also a major player, driven by stringent regulatory frameworks and the need for compliance solutions. The Asia-Pacific region is witnessing rapid growth, fueled by the increasing digitalization of banking services and large investments in AI technology by banks in countries like China and India. Latin America and the Middle East & Africa regions are gradually embracing AI in banking, although at a slower pace compared to other regions.

Artificial Intelligence in Banking Market Scope

Report Coverage Details
Market Size in 2023 USD 19.90 Billion
Market Size in 2024 USD 26.23 Billion
Market Size by 2033 USD 315.50 Billion
Market Growth Rate from 2024 to 2033 CAGR of 31.83%
Largest Market North America
Base Year 2023
Forecast Period 2024 to 2033
Segments Covered Component, Application, Technology, Enterprise Size, and Regions
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Artificial Intelligence in Banking Market Dynamics

Drivers

Several drivers are propelling the AI in banking market forward. The need to enhance customer experience and satisfaction is a major driver, as AI enables personalized services and efficient query resolution. Cost reduction through automation of routine tasks and improved operational efficiency is another key driver. Additionally, AI’s ability to detect and prevent fraud in real-time provides a significant advantage in the banking sector. The continuous advancement in AI technologies and the increasing availability of big data also drive market growth by enabling more sophisticated and accurate AI applications.

Opportunities

The AI in banking market presents numerous opportunities for growth and innovation. One major opportunity lies in the development of more advanced and intuitive AI-driven customer service solutions that can handle complex queries and transactions. There is also significant potential in the integration of AI with blockchain technology to enhance security and transparency in banking transactions. Moreover, the increasing adoption of open banking systems provides opportunities for AI to facilitate better data sharing and integration across different banking platforms. Banks can also explore AI to create more customized financial products and services tailored to individual customer needs.

Challenges

Despite its potential, the AI in banking market faces several challenges. Data privacy and security concerns are paramount, as banks deal with sensitive financial information that must be protected from breaches. Additionally, the integration of AI with existing legacy banking systems can be complex and costly. There is also a shortage of skilled professionals who can develop and manage AI technologies, which can hinder implementation. Furthermore, regulatory compliance presents a challenge, as banks must ensure that their AI systems adhere to all relevant laws and guidelines. Finally, the ethical implications of AI decision-making processes must be carefully managed to maintain customer trust and avoid potential biases.

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Artificial Intelligence in Banking Market Companies

  • 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

Recent Developments

  • In May 2024, The Ministry of Industry and Advanced Technology (MoIAT) announced the collaboration with the Emirates Development Bank (EDB), a major financial engine of industrial advancements and economic development in the UAE, for providing AED 370 million in financing solutions for the development of new AI Innovation Program.
  • In May 2024, Sterling Bank collaborated with AI in Nigeria to introduce the ‘Nigeria AI Landscape and Startup Report’, providing a diversified view of Nigeria’s ecosystem and startup scene.

Segments Covered in the Report

By Component

  • Service
  • Solution

By Application

  • Risk Management
  • Customer Service
  • Virtual Assistant
  • Financial Advisory
  • Others

By Technology

  • Natural Language Processing (NLP)
  • Machine Learning & Deep Learning
  • Computer Vision
  • Other

By Enterprise Size

  • Large Enterprise
  • SMEs

By Geography

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • Middle East & Africa

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