Global Artificial Intelligence for Financial 麻豆原创 Research Report 2025

Publication ID:

PB503255763

Publication Date:

March 7, 2025

Pages:

106

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence for Financial was valued at US$ 65160 million in the year 2024 and is projected to reach a revised size of US$ 128220 million by 2031, growing at a CAGR of 10.3% during the forecast period.
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 1/88 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Financial, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Financial.
The Artificial Intelligence for Financial market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Artificial Intelligence for Financial market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence for Financial companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
IBM Corporation
Intel Corporation
Bloomberg
Amazon
Microsoft Corporation
NVIDIA
Oracle
SAP
H2O.ai
HighRadius
Kensho
AlphaSense
Enova
Scienaptic AI
Socure
Vectra AI
Iflytek Co., Ltd.
Hithink RoyalFlush Information Network
Hundsun Technologies
Sensetme
Megvii
Segment by Type
Software
Service
Other
Segment by Application
Bank
Securities Investment
Insurance Company
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence for Financial company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence for Financial 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Software
1.2.3 Service
1.2.4 Other
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence for Financial 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Bank
1.3.3 Securities Investment
1.3.4 Insurance Company
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence for Financial 麻豆原创 Perspective (2020-2031)
2.2 Global Artificial Intelligence for Financial Growth Trends by Region
2.2.1 Global Artificial Intelligence for Financial 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Artificial Intelligence for Financial Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Artificial Intelligence for Financial Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Artificial Intelligence for Financial 麻豆原创 Dynamics
2.3.1 Artificial Intelligence for Financial Industry Trends
2.3.2 Artificial Intelligence for Financial 麻豆原创 Drivers
2.3.3 Artificial Intelligence for Financial 麻豆原创 Challenges
2.3.4 Artificial Intelligence for Financial 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence for Financial Players by Revenue
3.1.1 Global Top Artificial Intelligence for Financial Players by Revenue (2020-2025)
3.1.2 Global Artificial Intelligence for Financial Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Artificial Intelligence for Financial 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Artificial Intelligence for Financial Revenue
3.4 Global Artificial Intelligence for Financial 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence for Financial 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence for Financial Revenue in 2024
3.5 Global Key Players of Artificial Intelligence for Financial Head office and Area Served
3.6 Global Key Players of Artificial Intelligence for Financial, Product and Application
3.7 Global Key Players of Artificial Intelligence for Financial, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence for Financial Breakdown Data by Type
4.1 Global Artificial Intelligence for Financial Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Artificial Intelligence for Financial Forecasted 麻豆原创 Size by Type (2026-2031)
5 Artificial Intelligence for Financial Breakdown Data by Application
5.1 Global Artificial Intelligence for Financial Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Artificial Intelligence for Financial Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Artificial Intelligence for Financial 麻豆原创 Size (2020-2031)
6.2 North America Artificial Intelligence for Financial 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Artificial Intelligence for Financial 麻豆原创 Size by Country (2020-2025)
6.4 North America Artificial Intelligence for Financial 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence for Financial 麻豆原创 Size (2020-2031)
7.2 Europe Artificial Intelligence for Financial 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Artificial Intelligence for Financial 麻豆原创 Size by Country (2020-2025)
7.4 Europe Artificial Intelligence for Financial 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence for Financial 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Artificial Intelligence for Financial 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Artificial Intelligence for Financial 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Artificial Intelligence for Financial 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence for Financial 麻豆原创 Size (2020-2031)
9.2 Latin America Artificial Intelligence for Financial 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Artificial Intelligence for Financial 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Artificial Intelligence for Financial 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence for Financial 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Artificial Intelligence for Financial 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Artificial Intelligence for Financial 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Artificial Intelligence for Financial 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM Corporation
11.1.1 IBM Corporation Company Details
11.1.2 IBM Corporation Business Overview
11.1.3 IBM Corporation Artificial Intelligence for Financial Introduction
11.1.4 IBM Corporation Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.1.5 IBM Corporation Recent Development
11.2 Intel Corporation
11.2.1 Intel Corporation Company Details
11.2.2 Intel Corporation Business Overview
11.2.3 Intel Corporation Artificial Intelligence for Financial Introduction
11.2.4 Intel Corporation Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.2.5 Intel Corporation Recent Development
11.3 Bloomberg
11.3.1 Bloomberg Company Details
11.3.2 Bloomberg Business Overview
11.3.3 Bloomberg Artificial Intelligence for Financial Introduction
11.3.4 Bloomberg Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.3.5 Bloomberg Recent Development
11.4 Amazon
11.4.1 Amazon Company Details
11.4.2 Amazon Business Overview
11.4.3 Amazon Artificial Intelligence for Financial Introduction
11.4.4 Amazon Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.4.5 Amazon Recent Development
11.5 Microsoft Corporation
11.5.1 Microsoft Corporation Company Details
11.5.2 Microsoft Corporation Business Overview
11.5.3 Microsoft Corporation Artificial Intelligence for Financial Introduction
11.5.4 Microsoft Corporation Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.5.5 Microsoft Corporation Recent Development
11.6 NVIDIA
11.6.1 NVIDIA Company Details
11.6.2 NVIDIA Business Overview
11.6.3 NVIDIA Artificial Intelligence for Financial Introduction
11.6.4 NVIDIA Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.6.5 NVIDIA Recent Development
11.7 Oracle
11.7.1 Oracle Company Details
11.7.2 Oracle Business Overview
11.7.3 Oracle Artificial Intelligence for Financial Introduction
11.7.4 Oracle Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.7.5 Oracle Recent Development
11.8 SAP
11.8.1 SAP Company Details
11.8.2 SAP Business Overview
11.8.3 SAP Artificial Intelligence for Financial Introduction
11.8.4 SAP Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.8.5 SAP Recent Development
11.9 H2O.ai
11.9.1 H2O.ai Company Details
11.9.2 H2O.ai Business Overview
11.9.3 H2O.ai Artificial Intelligence for Financial Introduction
11.9.4 H2O.ai Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.9.5 H2O.ai Recent Development
11.10 HighRadius
11.10.1 HighRadius Company Details
11.10.2 HighRadius Business Overview
11.10.3 HighRadius Artificial Intelligence for Financial Introduction
11.10.4 HighRadius Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.10.5 HighRadius Recent Development
11.11 Kensho
11.11.1 Kensho Company Details
11.11.2 Kensho Business Overview
11.11.3 Kensho Artificial Intelligence for Financial Introduction
11.11.4 Kensho Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.11.5 Kensho Recent Development
11.12 AlphaSense
11.12.1 AlphaSense Company Details
11.12.2 AlphaSense Business Overview
11.12.3 AlphaSense Artificial Intelligence for Financial Introduction
11.12.4 AlphaSense Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.12.5 AlphaSense Recent Development
11.13 Enova
11.13.1 Enova Company Details
11.13.2 Enova Business Overview
11.13.3 Enova Artificial Intelligence for Financial Introduction
11.13.4 Enova Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.13.5 Enova Recent Development
11.14 Scienaptic AI
11.14.1 Scienaptic AI Company Details
11.14.2 Scienaptic AI Business Overview
11.14.3 Scienaptic AI Artificial Intelligence for Financial Introduction
11.14.4 Scienaptic AI Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.14.5 Scienaptic AI Recent Development
11.15 Socure
11.15.1 Socure Company Details
11.15.2 Socure Business Overview
11.15.3 Socure Artificial Intelligence for Financial Introduction
11.15.4 Socure Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.15.5 Socure Recent Development
11.16 Vectra AI
11.16.1 Vectra AI Company Details
11.16.2 Vectra AI Business Overview
11.16.3 Vectra AI Artificial Intelligence for Financial Introduction
11.16.4 Vectra AI Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.16.5 Vectra AI Recent Development
11.17 Iflytek Co., Ltd.
11.17.1 Iflytek Co., Ltd. Company Details
11.17.2 Iflytek Co., Ltd. Business Overview
11.17.3 Iflytek Co., Ltd. Artificial Intelligence for Financial Introduction
11.17.4 Iflytek Co., Ltd. Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.17.5 Iflytek Co., Ltd. Recent Development
11.18 Hithink RoyalFlush Information Network
11.18.1 Hithink RoyalFlush Information Network Company Details
11.18.2 Hithink RoyalFlush Information Network Business Overview
11.18.3 Hithink RoyalFlush Information Network Artificial Intelligence for Financial Introduction
11.18.4 Hithink RoyalFlush Information Network Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.18.5 Hithink RoyalFlush Information Network Recent Development
11.19 Hundsun Technologies
11.19.1 Hundsun Technologies Company Details
11.19.2 Hundsun Technologies Business Overview
11.19.3 Hundsun Technologies Artificial Intelligence for Financial Introduction
11.19.4 Hundsun Technologies Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.19.5 Hundsun Technologies Recent Development
11.20 Sensetme
11.20.1 Sensetme Company Details
11.20.2 Sensetme Business Overview
11.20.3 Sensetme Artificial Intelligence for Financial Introduction
11.20.4 Sensetme Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.20.5 Sensetme Recent Development
11.21 Megvii
11.21.1 Megvii Company Details
11.21.2 Megvii Business Overview
11.21.3 Megvii Artificial Intelligence for Financial Introduction
11.21.4 Megvii Revenue in Artificial Intelligence for Financial Business (2020-2025)
11.21.5 Megvii Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

IBM Corporation
Intel Corporation
Bloomberg
Amazon
Microsoft Corporation
NVIDIA
Oracle
SAP
H2O.ai
HighRadius
Kensho
AlphaSense
Enova
Scienaptic AI
Socure
Vectra AI
Iflytek Co., Ltd.
Hithink RoyalFlush Information Network
Hundsun Technologies
Sensetme
Megvii

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.