Global AI in Banking Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR072413942

Publication Date:

July 22, 2024

Pages:

114

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

IT & eHealth [2]

Pharma & Healthcare [3]

Description:

According to our latest research, the global AI in Banking market size will reach USD 31820 million in 2030, growing at a CAGR of 22.8% over the analysis period.
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.
The AI in Banking market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
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 楼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 segmentation
AI in Banking market is split by Type and by Application. For the period 2024-2030, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type, covers
Hardware
Software
Services
Market segment by Application, can be divided into
Analytics
Chatbots
Robotic process automation (RPA)
Market segment by players, this report covers
Blue Frog Robotics
Bsh Hausger盲te
Fanuc
AWS
SAP
IBM
Intel
Cisco Systems
NVIDIA
Hewlett Packard Enterprise
JD
Baidu
Alibaba
Huawei
ByteDance
Yusys Technologies
Yusys Technologies
Market segment by regions, regional analysis covers
North America
Europe
Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
South America
Middle East & Africa
The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe AI in Banking product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of AI in Banking, with recent developments and future plans
Chapter 3, the AI in Banking competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and AI in Banking market forecast, by regions, with revenue, from 2024 to 2030.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2024 to 2030.
Chapter 7 and 8, to describe AI in Banking research findings and conclusion, appendix and data source.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Product Overview and Scope of AI in Banking
1.2 Classification of AI in Banking by Type
1.2.1 Overview: Global AI in Banking Market Size by Type: 2024 Versus 2030
1.2.2 Global AI in Banking Revenue Market Share by Type in 2030
1.2.3 Hardware
1.2.4 Software
1.2.5 Services
1.3 Global AI in Banking Market by Application
1.3.1 Overview: Global AI in Banking Market Size by Application: 2024 Versus 2030
1.3.2 Analytics
1.3.3 Chatbots
1.3.4 Robotic process automation (RPA)
1.4 Global AI in Banking Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 AI in Banking Market Drivers
1.5.2 AI in Banking Market Restraints
1.5.3 AI in Banking Trends Analysis
2 Company Profiles
2.1 Blue Frog Robotics
2.1.1 Blue Frog Robotics Details
2.1.2 Blue Frog Robotics Major Business
2.1.3 Blue Frog Robotics AI in Banking Product and Solutions
2.1.4 Blue Frog Robotics Recent Developments and Future Plans
2.2 Bsh Hausger盲te
2.2.1 Bsh Hausger盲te Details
2.2.2 Bsh Hausger盲te Major Business
2.2.3 Bsh Hausger盲te AI in Banking Product and Solutions
2.2.4 Bsh Hausger盲te Recent Developments and Future Plans
2.3 Fanuc
2.3.1 Fanuc Details
2.3.2 Fanuc Major Business
2.3.3 Fanuc AI in Banking Product and Solutions
2.3.4 Fanuc Recent Developments and Future Plans
2.4 AWS
2.4.1 AWS Details
2.4.2 AWS Major Business
2.4.3 AWS AI in Banking Product and Solutions
2.4.4 AWS Recent Developments and Future Plans
2.5 SAP
2.5.1 SAP Details
2.5.2 SAP Major Business
2.5.3 SAP AI in Banking Product and Solutions
2.5.4 SAP Recent Developments and Future Plans
2.6 IBM
2.6.1 IBM Details
2.6.2 IBM Major Business
2.6.3 IBM AI in Banking Product and Solutions
2.6.4 IBM Recent Developments and Future Plans
2.7 Intel
2.7.1 Intel Details
2.7.2 Intel Major Business
2.7.3 Intel AI in Banking Product and Solutions
2.7.4 Intel Recent Developments and Future Plans
2.8 Cisco Systems
2.8.1 Cisco Systems Details
2.8.2 Cisco Systems Major Business
2.8.3 Cisco Systems AI in Banking Product and Solutions
2.8.4 Cisco Systems Recent Developments and Future Plans
2.9 NVIDIA
2.9.1 NVIDIA Details
2.9.2 NVIDIA Major Business
2.9.3 NVIDIA AI in Banking Product and Solutions
2.9.4 NVIDIA Recent Developments and Future Plans
2.10 Hewlett Packard Enterprise
2.10.1 Hewlett Packard Enterprise Details
2.10.2 Hewlett Packard Enterprise Major Business
2.10.3 Hewlett Packard Enterprise AI in Banking Product and Solutions
2.10.4 Hewlett Packard Enterprise Recent Developments and Future Plans
2.11 JD
2.11.1 JD Details
2.11.2 JD Major Business
2.11.3 JD AI in Banking Product and Solutions
2.11.4 JD Recent Developments and Future Plans
2.12 Baidu
2.12.1 Baidu Details
2.12.2 Baidu Major Business
2.12.3 Baidu AI in Banking Product and Solutions
2.12.4 Baidu Recent Developments and Future Plans
2.13 Alibaba
2.13.1 Alibaba Details
2.13.2 Alibaba Major Business
2.13.3 Alibaba AI in Banking Product and Solutions
2.13.4 Alibaba Recent Developments and Future Plans
2.14 Huawei
2.14.1 Huawei Details
2.14.2 Huawei Major Business
2.14.3 Huawei AI in Banking Product and Solutions
2.14.4 Huawei Recent Developments and Future Plans
2.15 ByteDance
2.15.1 ByteDance Details
2.15.2 ByteDance Major Business
2.15.3 ByteDance AI in Banking Product and Solutions
2.15.4 ByteDance Recent Developments and Future Plans
2.16 Yusys Technologies
2.16.1 Yusys Technologies Details
2.16.2 Yusys Technologies Major Business
2.16.3 Yusys Technologies AI in Banking Product and Solutions
2.16.4 Yusys Technologies Recent Developments and Future Plans
2.17 Yusys Technologies
2.17.1 Yusys Technologies Details
2.17.2 Yusys Technologies Major Business
2.17.3 Yusys Technologies AI in Banking Product and Solutions
2.17.4 Yusys Technologies Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global AI in Banking Revenue and Share by Players (2024 & 2030)
3.2 AI in Banking Players Head Office, Products and Services Provided
3.3 AI in Banking Mergers & Acquisitions
3.4 AI in Banking New Entrants and Expansion Plans
4 Global AI in Banking Forecast by Region
4.1 Global AI in Banking Market Size by Region: 2024 VS 2030
4.2 Global AI in Banking Market Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of AI in Banking in North America
4.3.2 Current Situation and Forecast of AI in Banking in North America
4.3.3 North America AI in Banking Market Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of AI in Banking in Europe
4.4.2 Current Situation and Forecast of AI in Banking in Europe
4.4.3 Europe AI in Banking Market Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of AI in Banking in Asia-Pacific
4.5.2 Current Situation and Forecast of AI in Banking in Asia-Pacific
4.5.3 Asia-Pacific AI in Banking Market Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of AI in Banking in South America
4.6.2 Current Situation and Forecast of AI in Banking in South America
4.6.3 South America AI in Banking Market Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of AI in Banking in Middle East & Africa
4.7.2 Current Situation and Forecast of AI in Banking in Middle East & Africa
4.7.3 Middle East & Africa AI in Banking Market Size and Prospect (2024-2030)
5 Market Size Segment by Type
5.1 Global AI in Banking Market Forecast by Type (2024-2030)
5.2 Global AI in Banking Market Share Forecast by Type (2024-2030)
6 Market Size Segment by Application
6.1 Global AI in Banking Market Forecast by Application (2024-2030)
6.2 Global AI in Banking Market Share Forecast by Application (2024-2030)
7 Research Findings and Conclusion
8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer

Companies Mentioned:

Blue Frog Robotics
Bsh Hausger盲te
Fanuc
AWS
SAP
IBM
Intel
Cisco Systems
NVIDIA
Hewlett Packard Enterprise
JD
Baidu
Alibaba
Huawei
ByteDance
Yusys Technologies
Yusys Technologies

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