Cloud AI in Fintech - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511249170

Publication Date:

November 27, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

AI helps Fintech companies in resolving human problems, by enhancing efficiency.
The global market for Cloud AI in Fintech was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
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 1/105 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Cloud AI in Fintech, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Cloud AI in Fintech by region & country, by Type, and by Application.
The Cloud AI in Fintech market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Cloud AI in Fintech.
麻豆原创 Segmentation
By Company
Autodesk
IBM
SAP
Fanuc
Hanson Robotics
Oracle
Microsoft
Segment by Type:
Solutions
Services
Segment by Application
Chatbots
Credit Scoring
Quantitative and Asset Management
Fraud Detection
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Cloud AI in Fintech manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Cloud AI in Fintech in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Cloud AI in Fintech in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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

Table Of Contents:

1 麻豆原创 Overview
1.1 Cloud AI in Fintech Product Introduction
1.2 Global Cloud AI in Fintech 麻豆原创 Size Forecast
1.3 Cloud AI in Fintech 麻豆原创 Trends & Drivers
1.3.1 Cloud AI in Fintech Industry Trends
1.3.2 Cloud AI in Fintech 麻豆原创 Drivers & Opportunity
1.3.3 Cloud AI in Fintech 麻豆原创 Challenges
1.3.4 Cloud AI in Fintech 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Cloud AI in Fintech Players Revenue Ranking (2023)
2.2 Global Cloud AI in Fintech Revenue by Company (2019-2024)
2.3 Key Companies Cloud AI in Fintech Manufacturing Base Distribution and Headquarters
2.4 Key Companies Cloud AI in Fintech Product Offered
2.5 Key Companies Time to Begin Mass Production of Cloud AI in Fintech
2.6 Cloud AI in Fintech 麻豆原创 Competitive Analysis
2.6.1 Cloud AI in Fintech 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Cloud AI in Fintech Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Cloud AI in Fintech as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Solutions
3.1.2 Services
3.2 Global Cloud AI in Fintech Sales Value by Type
3.2.1 Global Cloud AI in Fintech Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Cloud AI in Fintech Sales Value, by Type (2019-2030)
3.2.3 Global Cloud AI in Fintech Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Chatbots
4.1.2 Credit Scoring
4.1.3 Quantitative and Asset Management
4.1.4 Fraud Detection
4.1.5 Others
4.2 Global Cloud AI in Fintech Sales Value by Application
4.2.1 Global Cloud AI in Fintech Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Cloud AI in Fintech Sales Value, by Application (2019-2030)
4.2.3 Global Cloud AI in Fintech Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Cloud AI in Fintech Sales Value by Region
5.1.1 Global Cloud AI in Fintech Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Cloud AI in Fintech Sales Value by Region (2019-2024)
5.1.3 Global Cloud AI in Fintech Sales Value by Region (2025-2030)
5.1.4 Global Cloud AI in Fintech Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Cloud AI in Fintech Sales Value, 2019-2030
5.2.2 North America Cloud AI in Fintech Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Cloud AI in Fintech Sales Value, 2019-2030
5.3.2 Europe Cloud AI in Fintech Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Cloud AI in Fintech Sales Value, 2019-2030
5.4.2 Asia Pacific Cloud AI in Fintech Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Cloud AI in Fintech Sales Value, 2019-2030
5.5.2 South America Cloud AI in Fintech Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Cloud AI in Fintech Sales Value, 2019-2030
5.6.2 Middle East & Africa Cloud AI in Fintech Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Cloud AI in Fintech Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Cloud AI in Fintech Sales Value
6.3 United States
6.3.1 United States Cloud AI in Fintech Sales Value, 2019-2030
6.3.2 United States Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Cloud AI in Fintech Sales Value, 2019-2030
6.4.2 Europe Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Cloud AI in Fintech Sales Value, 2019-2030
6.5.2 China Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.5.3 China Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Cloud AI in Fintech Sales Value, 2019-2030
6.6.2 Japan Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Cloud AI in Fintech Sales Value, 2019-2030
6.7.2 South Korea Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Cloud AI in Fintech Sales Value, 2019-2030
6.8.2 Southeast Asia Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Cloud AI in Fintech Sales Value, 2019-2030
6.9.2 India Cloud AI in Fintech Sales Value by Type (%), 2023 VS 2030
6.9.3 India Cloud AI in Fintech Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Autodesk
7.1.1 Autodesk Profile
7.1.2 Autodesk Main Business
7.1.3 Autodesk Cloud AI in Fintech Products, Services and Solutions
7.1.4 Autodesk Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.1.5 Autodesk Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Cloud AI in Fintech Products, Services and Solutions
7.2.4 IBM Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 SAP
7.3.1 SAP Profile
7.3.2 SAP Main Business
7.3.3 SAP Cloud AI in Fintech Products, Services and Solutions
7.3.4 SAP Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.3.5 Fanuc Recent Developments
7.4 Fanuc
7.4.1 Fanuc Profile
7.4.2 Fanuc Main Business
7.4.3 Fanuc Cloud AI in Fintech Products, Services and Solutions
7.4.4 Fanuc Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.4.5 Fanuc Recent Developments
7.5 Hanson Robotics
7.5.1 Hanson Robotics Profile
7.5.2 Hanson Robotics Main Business
7.5.3 Hanson Robotics Cloud AI in Fintech Products, Services and Solutions
7.5.4 Hanson Robotics Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.5.5 Hanson Robotics Recent Developments
7.6 Oracle
7.6.1 Oracle Profile
7.6.2 Oracle Main Business
7.6.3 Oracle Cloud AI in Fintech Products, Services and Solutions
7.6.4 Oracle Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.6.5 Oracle Recent Developments
7.7 Microsoft
7.7.1 Microsoft Profile
7.7.2 Microsoft Main Business
7.7.3 Microsoft Cloud AI in Fintech Products, Services and Solutions
7.7.4 Microsoft Cloud AI in Fintech Revenue (US$ Million) & (2019-2024)
7.7.5 Microsoft Recent Developments
8 Industry Chain Analysis
8.1 Cloud AI in Fintech Industrial Chain
8.2 Cloud AI in Fintech Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Cloud AI in Fintech Sales Model
8.5.2 Sales Channel
8.5.3 Cloud AI in Fintech Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Autodesk
IBM
SAP
Fanuc
Hanson Robotics
Oracle
Microsoft

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