AI in Banking Market, Global Outlook and Forecast 2024-2030
Report Code: KNJ1766110 No. of Pages: 92 Category: Security and Intelligence Systems
Publisher: Date of Publish:
Publisher: Date of Publish:
The global AI in Banking market is projected to reach US$ 31820 million by 2030.
AI in Banking refers to a trend and practice of applying artificial intelligence technology in the banking industry. Banking AI can cover all aspects of banking operations to increase efficiency, improve customer service, manage risk, and innovate products and services.
This report contains market size and forecasts of AI in Banking in Global, including the following market information:
Global AI in Banking Market Size 2025-2030, ($ millions)
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/42 of that of the United States.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the AI in Banking companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global AI in Banking Market, by Type, 2025-2030 ($ millions)
Global AI in Banking Market Segment Percentages, by Type
Hardware
Software
Services
Global AI in Banking Market, by Application, 2025-2030 ($ millions)
Global AI in Banking Market Segment Percentages, by Application
Analytics
Chatbots
Robotic process automation (RPA)
Global AI in Banking Market, By Region and Country, 2025-2030 ($ Millions)
Global AI in Banking Market Segment Percentages, by region and country
United States
Europe
Asia
China
Rest of World
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Blue Frog Robotics
Bsh Hausgeräte
Fanuc
AWS
SAP
IBM
Intel
Cisco Systems
NVIDIA
Hewlett Packard Enterprise
JD
Baidu
Alibaba
Huawei
ByteDance
Yusys Technologies
Yusys Technologies
1 Introduction to Research & Analysis Reports
1.1 AI in Banking Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global AI in Banking Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global AI in Banking Overall Market Size
2.1 Global AI in Banking Market Size: 2024 VS 2030
2.2 Global AI in Banking Market Size, Prospects & Forecasts: 2024-2030
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Key AI in Banking Players in Global Market
3.2 Global Companies AI in Banking Product & Technology
4 AI in Banking Companies Profiles
4.1 Blue Frog Robotics
4.1.1 Blue Frog Robotics Company Summary
4.1.2 Blue Frog Robotics Business Overview
4.1.3 Blue Frog Robotics AI in Banking Product Offerings & Technology
4.1.4 Blue Frog Robotics AI in Banking R&D, and Plans
4.2 Bsh Hausgeräte
4.2.1 Bsh Hausgeräte Company Summary
4.2.2 Bsh Hausgeräte Business Overview
4.2.3 Bsh Hausgeräte AI in Banking Product Offerings & Technology
4.2.4 Bsh Hausgeräte AI in Banking R&D, and Plans
4.3 Fanuc
4.3.1 Fanuc Company Summary
4.3.2 Fanuc Business Overview
4.3.3 Fanuc AI in Banking Product Offerings & Technology
4.3.4 Fanuc AI in Banking R&D, and Plans
4.4 AWS
4.4.1 AWS Company Summary
4.4.2 AWS Business Overview
4.4.3 AWS AI in Banking Product Offerings & Technology
4.4.4 AWS AI in Banking R&D, and Plans
4.5 SAP
4.5.1 SAP Company Summary
4.5.2 SAP Business Overview
4.5.3 SAP AI in Banking Product Offerings & Technology
4.5.4 SAP AI in Banking R&D, and Plans
4.6 IBM
4.6.1 IBM Company Summary
4.6.2 IBM Business Overview
4.6.3 IBM AI in Banking Product Offerings & Technology
4.6.4 IBM AI in Banking R&D, and Plans
4.7 Intel
4.7.1 Intel Company Summary
4.7.2 Intel Business Overview
4.7.3 Intel AI in Banking Product Offerings & Technology
4.7.4 Intel AI in Banking R&D, and Plans
4.8 Cisco Systems
4.8.1 Cisco Systems Company Summary
4.8.2 Cisco Systems Business Overview
4.8.3 Cisco Systems AI in Banking Product Offerings & Technology
4.8.4 Cisco Systems AI in Banking R&D, and Plans
4.9 NVIDIA
4.9.1 NVIDIA Company Summary
4.9.2 NVIDIA Business Overview
4.9.3 NVIDIA AI in Banking Product Offerings & Technology
4.9.4 NVIDIA AI in Banking R&D, and Plans
4.10 Hewlett Packard Enterprise
4.10.1 Hewlett Packard Enterprise Company Summary
4.10.2 Hewlett Packard Enterprise Business Overview
4.10.3 Hewlett Packard Enterprise AI in Banking Product Offerings & Technology
4.10.4 Hewlett Packard Enterprise AI in Banking R&D, and Plans
4.11 JD
4.11.1 JD Company Summary
4.11.2 JD Business Overview
4.11.3 JD AI in Banking Product Offerings & Technology
4.11.4 JD AI in Banking R&D, and Plans
4.12 Baidu
4.12.1 Baidu Company Summary
4.12.2 Baidu Business Overview
4.12.3 Baidu AI in Banking Product Offerings & Technology
4.12.4 Baidu AI in Banking R&D, and Plans
4.13 Alibaba
4.13.1 Alibaba Company Summary
4.13.2 Alibaba Business Overview
4.13.3 Alibaba AI in Banking Product Offerings & Technology
4.13.4 Alibaba AI in Banking R&D, and Plans
4.14 Huawei
4.14.1 Huawei Company Summary
4.14.2 Huawei Business Overview
4.14.3 Huawei AI in Banking Product Offerings & Technology
4.14.4 Huawei AI in Banking R&D, and Plans
4.15 ByteDance
4.15.1 ByteDance Company Summary
4.15.2 ByteDance Business Overview
4.15.3 ByteDance AI in Banking Product Offerings & Technology
4.15.4 ByteDance AI in Banking R&D, and Plans
4.16 Yusys Technologies
4.16.1 Yusys Technologies Company Summary
4.16.2 Yusys Technologies Business Overview
4.16.3 Yusys Technologies AI in Banking Product Offerings & Technology
4.16.4 Yusys Technologies AI in Banking R&D, and Plans
4.17 Yusys Technologies
4.17.1 Yusys Technologies Company Summary
4.17.2 Yusys Technologies Business Overview
4.17.3 Yusys Technologies AI in Banking Product Offerings & Technology
4.17.4 Yusys Technologies AI in Banking R&D, and Plans
5 Sights by Region
5.1 By Region - Global AI in Banking Market Size, 2025 & 2030
5.2 By Region - Global AI in Banking Revenue, (2025-2030)
5.3 United States
5.3.1 Key Players of AI in Banking in United States
5.3.2 United States AI in Banking Development Current Situation and Forecast
5.4 Europe
5.4.1 Key Players of AI in Banking in Europe
5.4.2 Europe AI in Banking Development Current Situation and Forecast
5.5 China
5.5.1 Key Players of AI in Banking in China
5.5.2 China AI in Banking Development Current Situation and Forecast
5.6 Rest of World
6 Sights by Product
6.1 By Type - Global AI in Banking Market Size Markets, 2025 & 2030
6.2 Hardware
6.3 Software
6.4 Services
7 Sights by Application
7.1 By Application - Global AI in Banking Market Size, 2025 & 2030
7.2 Analytics
7.3 Chatbots
7.4 Robotic process automation (RPA)
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer
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