Global Cloud AI in Fintech Market 2024 by Company, Regions, Type and Application, Forecast to 2030
Page: 87
Published Date: 15 Jan 2024
Category: New Technology
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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags
Description
According to our latest research, the global Cloud AI in Fintech market size will reach USD million in 2030, growing at a CAGR of % over the analysis period.
AI helps Fintech companies in resolving human problems, by enhancing efficiency.
The Cloud AI in Fintech 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 ¥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.
Market segmentation
Cloud AI in Fintech 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
Solutions
Services
Market segment by Application, can be divided into
Chatbots
Credit Scoring
Quantitative and Asset Management
Fraud Detection
Others
Market segment by players, this report covers
Autodesk
IBM
SAP
Fanuc
Hanson Robotics
Oracle
Microsoft
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 Cloud AI in Fintech product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Cloud AI in Fintech, with recent developments and future plans
Chapter 3, the Cloud AI in Fintech 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 Cloud AI in Fintech 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 Cloud AI in Fintech research findings and conclusion, appendix and data source.
Table of Contents
1 Market Overview
1.1 Product Overview and Scope of Cloud AI in Fintech
1.2 Classification of Cloud AI in Fintech by Type
1.2.1 Overview: Global Cloud AI in Fintech Market Size by Type: 2024 Versus 2030
1.2.2 Global Cloud AI in Fintech Revenue Market Share by Type in 2030
1.2.3 Solutions
1.2.4 Services
1.3 Global Cloud AI in Fintech Market by Application
1.3.1 Overview: Global Cloud AI in Fintech Market Size by Application: 2024 Versus 2030
1.3.2 Chatbots
1.3.3 Credit Scoring
1.3.4 Quantitative and Asset Management
1.3.5 Fraud Detection
1.3.6 Others
1.4 Global Cloud AI in Fintech Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 Cloud AI in Fintech Market Drivers
1.5.2 Cloud AI in Fintech Market Restraints
1.5.3 Cloud AI in Fintech Trends Analysis
2.1 Autodesk
2.1.1 Autodesk Details
2.1.2 Autodesk Major Business
2.1.3 Autodesk Cloud AI in Fintech Product and Solutions
2.1.4 Autodesk Recent Developments and Future Plans
2.2 IBM
2.2.1 IBM Details
2.2.2 IBM Major Business
2.2.3 IBM Cloud AI in Fintech Product and Solutions
2.2.4 IBM Recent Developments and Future Plans
2.3 SAP
2.3.1 SAP Details
2.3.2 SAP Major Business
2.3.3 SAP Cloud AI in Fintech Product and Solutions
2.3.4 SAP Recent Developments and Future Plans
2.4 Fanuc
2.4.1 Fanuc Details
2.4.2 Fanuc Major Business
2.4.3 Fanuc Cloud AI in Fintech Product and Solutions
2.4.4 Fanuc Recent Developments and Future Plans
2.5 Hanson Robotics
2.5.1 Hanson Robotics Details
2.5.2 Hanson Robotics Major Business
2.5.3 Hanson Robotics Cloud AI in Fintech Product and Solutions
2.5.4 Hanson Robotics Recent Developments and Future Plans
2.6 Oracle
2.6.1 Oracle Details
2.6.2 Oracle Major Business
2.6.3 Oracle Cloud AI in Fintech Product and Solutions
2.6.4 Oracle Recent Developments and Future Plans
2.7 Microsoft
2.7.1 Microsoft Details
2.7.2 Microsoft Major Business
2.7.3 Microsoft Cloud AI in Fintech Product and Solutions
2.7.4 Microsoft Recent Developments and Future Plans
3.1 Global Cloud AI in Fintech Revenue and Share by Players (2024 & 2030)
3.2 Cloud AI in Fintech Players Head Office, Products and Services Provided
3.3 Cloud AI in Fintech Mergers & Acquisitions
3.4 Cloud AI in Fintech New Entrants and Expansion Plans
4.1 Global Cloud AI in Fintech Market Size by Region: 2024 VS 2030
4.2 Global Cloud AI in Fintech Market Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of Cloud AI in Fintech in North America
4.3.2 Current Situation and Forecast of Cloud AI in Fintech in North America
4.3.3 North America Cloud AI in Fintech Market Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of Cloud AI in Fintech in Europe
4.4.2 Current Situation and Forecast of Cloud AI in Fintech in Europe
4.4.3 Europe Cloud AI in Fintech Market Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of Cloud AI in Fintech in Asia-Pacific
4.5.2 Current Situation and Forecast of Cloud AI in Fintech in Asia-Pacific
4.5.3 Asia-Pacific Cloud AI in Fintech 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 Cloud AI in Fintech in South America
4.6.2 Current Situation and Forecast of Cloud AI in Fintech in South America
4.6.3 South America Cloud AI in Fintech Market Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of Cloud AI in Fintech in Middle East & Africa
4.7.2 Current Situation and Forecast of Cloud AI in Fintech in Middle East & Africa
4.7.3 Middle East & Africa Cloud AI in Fintech Market Size and Prospect (2024-2030)
5.1 Global Cloud AI in Fintech Market Forecast by Type (2024-2030)
5.2 Global Cloud AI in Fintech Market Share Forecast by Type (2024-2030)
6.1 Global Cloud AI in Fintech Market Forecast by Application (2024-2030)
6.2 Global Cloud AI in Fintech Market Share Forecast by Application (2024-2030)
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
Table of Figures
List of Tables
Table 1. Global Cloud AI in Fintech Revenue by Type, (USD Million), 2024 VS 2030
Table 2. Global Cloud AI in Fintech Revenue by Application, (USD Million), 2024 VS 2030
Table 3. Autodesk Corporate Information, Head Office, and Major Competitors
Table 4. Autodesk Major Business
Table 5. Autodesk Cloud AI in Fintech Product and Solutions
Table 6. IBM Corporate Information, Head Office, and Major Competitors
Table 7. IBM Major Business
Table 8. IBM Cloud AI in Fintech Product and Solutions
Table 9. SAP Corporate Information, Head Office, and Major Competitors
Table 10. SAP Major Business
Table 11. SAP Cloud AI in Fintech Product and Solutions
Table 12. Fanuc Corporate Information, Head Office, and Major Competitors
Table 13. Fanuc Major Business
Table 14. Fanuc Cloud AI in Fintech Product and Solutions
Table 15. Hanson Robotics Corporate Information, Head Office, and Major Competitors
Table 16. Hanson Robotics Major Business
Table 17. Hanson Robotics Cloud AI in Fintech Product and Solutions
Table 18. Oracle Corporate Information, Head Office, and Major Competitors
Table 19. Oracle Major Business
Table 20. Oracle Cloud AI in Fintech Product and Solutions
Table 21. Microsoft Corporate Information, Head Office, and Major Competitors
Table 22. Microsoft Major Business
Table 23. Microsoft Cloud AI in Fintech Product and Solutions
Table 24. Global Cloud AI in Fintech Revenue (USD Million) by Players (2024 & 2030)
Table 25. Global Cloud AI in Fintech Revenue Share by Players (2024 & 2030)
Table 26. Cloud AI in Fintech Players Head Office, Products and Services Provided
Table 27. Cloud AI in Fintech Mergers & Acquisitions in the Past Five Years
Table 28. Cloud AI in Fintech New Entrants and Expansion Plans
Table 29. Global Market Cloud AI in Fintech Revenue (USD Million) Comparison by Region (2024 VS 2030)
Table 30. Global Cloud AI in Fintech Revenue Market Share by Region (2024-2030)
Table 31. Key Companies of Cloud AI in Fintech in North America
Table 32. Current Situation and Forecast of Cloud AI in Fintech in North America
Table 33. Key Companies of Cloud AI in Fintech in Europe
Table 34. Current Situation and Forecast of Cloud AI in Fintech in Europe
Table 35. Key Companies of Cloud AI in Fintech in Asia-Pacific
Table 36. Current Situation and Forecast of Cloud AI in Fintech in Asia-Pacific
Table 37. Key Companies of Cloud AI in Fintech in China
Table 38. Key Companies of Cloud AI in Fintech in Japan
Table 39. Key Companies of Cloud AI in Fintech in South Korea
Table 40. Key Companies of Cloud AI in Fintech in South America
Table 41. Current Situation and Forecast of Cloud AI in Fintech in South America
Table 42. Key Companies of Cloud AI in Fintech in Middle East & Africa
Table 43. Current Situation and Forecast of Cloud AI in Fintech in Middle East & Africa
Table 44. Global Cloud AI in Fintech Revenue Forecast by Type (2024-2030)
Table 45. Global Cloud AI in Fintech Revenue Forecast by Application (2024-2030)
List of Figures
Figure 1. Cloud AI in Fintech Picture
Figure 2. Global Cloud AI in Fintech Revenue Market Share by Type in 2030
Figure 3. Solutions
Figure 4. Services
Figure 5. Cloud AI in Fintech Revenue Market Share by Application in 2030
Figure 6. Chatbots Picture
Figure 7. Credit Scoring Picture
Figure 8. Quantitative and Asset Management Picture
Figure 9. Fraud Detection Picture
Figure 10. Others Picture
Figure 11. Global Cloud AI in Fintech Market Size, (USD Million): 2024 VS 2030
Figure 12. Global Cloud AI in Fintech Revenue and Forecast (2024-2030) & (USD Million)
Figure 13. Cloud AI in Fintech Market Drivers
Figure 14. Cloud AI in Fintech Market Restraints
Figure 15. Cloud AI in Fintech Market Trends
Figure 16. Autodesk Recent Developments and Future Plans
Figure 17. IBM Recent Developments and Future Plans
Figure 18. SAP Recent Developments and Future Plans
Figure 19. Fanuc Recent Developments and Future Plans
Figure 20. Hanson Robotics Recent Developments and Future Plans
Figure 21. Oracle Recent Developments and Future Plans
Figure 22. Microsoft Recent Developments and Future Plans
Figure 23. Global Cloud AI in Fintech Revenue Market Share by Region (2024-2030)
Figure 24. Global Cloud AI in Fintech Revenue Market Share by Region in 2030
Figure 25. North America Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
Figure 26. Europe Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
Figure 27. Asia-Pacific Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
Figure 28. South America Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
Figure 29. Middle East & Africa Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
Figure 30. Global Cloud AI in Fintech Market Share Forecast by Type (2024-2030)
Figure 31. Global Cloud AI in Fintech Market Share Forecast by Application (2024-2030)
Figure 32. Methodology
Figure 33. Research Process and Data Source
Research Methodology
Client Requirements
Review and analyze client requirements
Discussion of all the project requirements and queries
Flexibility Check
Project Feasibility Analysis
Finalizing tentative research programme
Structuring project proposal with scope, timeline, and costs
Analyzing Market Dynamics
Determination of key drivers, restraints, challenge, and opportunity
Identifies market needs and trends
Market Size Estimation & Forecast
Estimation of historical data based on secondary and primary data
Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)
Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies
Consideration of geography, region-specific product/service demand for region segments
Consideration of product utilization rates, product demand outlook for segments by application or end-user.
Data Source
Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports,
paid database, press releases, blogs, newsletters,and GIR repositories.
Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts
to verify insights.
Validation
and
triangulation of
secondary and primary source.
Collection of data
Cumulating and collating the essential qualitative and quantitative data
Generation of report in client requested format by research analysts
Reviews by expert analysts
Final quality check
Clarifying queries
Receiving feedback
Ensuring satisfaction
01 Identification of data
This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
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02 Evaluation of Market Dynamic
This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
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03 Collection of Data
This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
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04 Collaboration of Data
This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis
This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.
Companies Mentioned
Autodesk IBM SAP Fanuc Hanson Robotics Oracle Microsoft
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