Global Cloud AI in Fintech Supply, Demand and Key Producers, 2023-2029
Page: 96
Published Date: 13 Feb 2023
Category: New Technology
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- Description
- Table of Contents
- Table of Figures
- Research Methodology
- Related Reports
- Product Tags
Description
The global Cloud AI in Fintech market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).
AI helps Fintech companies in resolving human problems, by enhancing efficiency.
This report studies the global Cloud AI in Fintech demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Cloud AI in Fintech, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Cloud AI in Fintech that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Cloud AI in Fintech total market, 2018-2029, (USD Million)
Global Cloud AI in Fintech total market by region & country, CAGR, 2018-2029, (USD Million)
U.S. VS China: Cloud AI in Fintech total market, key domestic companies and share, (USD Million)
Global Cloud AI in Fintech revenue by player and market share 2018-2023, (USD Million)
Global Cloud AI in Fintech total market by Type, CAGR, 2018-2029, (USD Million)
Global Cloud AI in Fintech total market by Application, CAGR, 2018-2029, (USD Million)
This reports profiles major players in the global Cloud AI in Fintech market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Autodesk, IBM, SAP, Fanuc, Hanson Robotics, Oracle and Microsoft, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Cloud AI in Fintech market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.
Global Cloud AI in Fintech Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Cloud AI in Fintech Market, Segmentation by Type
Solutions
Services
Global Cloud AI in Fintech Market, Segmentation by Application
Chatbots
Credit Scoring
Quantitative and Asset Management
Fraud Detection
Others
Companies Profiled:
Autodesk
IBM
SAP
Fanuc
Hanson Robotics
Oracle
Microsoft
Key Questions Answered
1. How big is the global Cloud AI in Fintech market?
2. What is the demand of the global Cloud AI in Fintech market?
3. What is the year over year growth of the global Cloud AI in Fintech market?
4. What is the total value of the global Cloud AI in Fintech market?
5. Who are the major players in the global Cloud AI in Fintech market?
6. What are the growth factors driving the market demand?
Table of Contents
1 Supply Summary
1.1 Cloud AI in Fintech Introduction
1.2 World Cloud AI in Fintech Market Size & Forecast (2018 & 2022 & 2029)
1.3 World Cloud AI in Fintech Total Market by Region (by Headquarter Location)
1.3.1 World Cloud AI in Fintech Market Size by Region (2018-2029), (by Headquarter Location)
1.3.2 United States Cloud AI in Fintech Market Size (2018-2029)
1.3.3 China Cloud AI in Fintech Market Size (2018-2029)
1.3.4 Europe Cloud AI in Fintech Market Size (2018-2029)
1.3.5 Japan Cloud AI in Fintech Market Size (2018-2029)
1.3.6 South Korea Cloud AI in Fintech Market Size (2018-2029)
1.3.7 ASEAN Cloud AI in Fintech Market Size (2018-2029)
1.3.8 India Cloud AI in Fintech Market Size (2018-2029)
1.4 Market Drivers, Restraints and Trends
1.4.1 Cloud AI in Fintech Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 Cloud AI in Fintech Major Market Trends
1.5 Influence of COVID-19 and Russia-Ukraine War
1.5.1 Influence of COVID-19
1.5.2 Influence of Russia-Ukraine War
2 Demand Summary
2.1 World Cloud AI in Fintech Consumption Value (2018-2029)
2.2 World Cloud AI in Fintech Consumption Value by Region
2.2.1 World Cloud AI in Fintech Consumption Value by Region (2018-2023)
2.2.2 World Cloud AI in Fintech Consumption Value Forecast by Region (2024-2029)
2.3 United States Cloud AI in Fintech Consumption Value (2018-2029)
2.4 China Cloud AI in Fintech Consumption Value (2018-2029)
2.5 Europe Cloud AI in Fintech Consumption Value (2018-2029)
2.6 Japan Cloud AI in Fintech Consumption Value (2018-2029)
2.7 South Korea Cloud AI in Fintech Consumption Value (2018-2029)
2.8 ASEAN Cloud AI in Fintech Consumption Value (2018-2029)
2.9 India Cloud AI in Fintech Consumption Value (2018-2029)
3 World Cloud AI in Fintech Companies Competitive Analysis
3.1 World Cloud AI in Fintech Revenue by Player (2018-2023)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global Cloud AI in Fintech Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for Cloud AI in Fintech in 2022
3.2.3 Global Concentration Ratios (CR8) for Cloud AI in Fintech in 2022
3.3 Cloud AI in Fintech Company Evaluation Quadrant
3.4 Cloud AI in Fintech Market: Overall Company Footprint Analysis
3.4.1 Cloud AI in Fintech Market: Region Footprint
3.4.2 Cloud AI in Fintech Market: Company Product Type Footprint
3.4.3 Cloud AI in Fintech Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: Cloud AI in Fintech Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: Cloud AI in Fintech Market Size Comparison (2018 & 2022 & 2029) (by Headquarter Location)
4.1.2 United States VS China: Cloud AI in Fintech Revenue Market Share Comparison (2018 & 2022 & 2029)
4.2 United States Based Companies VS China Based Companies: Cloud AI in Fintech Consumption Value Comparison
4.2.1 United States VS China: Cloud AI in Fintech Consumption Value Comparison (2018 & 2022 & 2029)
4.2.2 United States VS China: Cloud AI in Fintech Consumption Value Market Share Comparison (2018 & 2022 & 2029)
4.3 United States Based Cloud AI in Fintech Companies and Market Share, 2018-2023
4.3.1 United States Based Cloud AI in Fintech Companies, Headquarters (States, Country)
4.3.2 United States Based Companies Cloud AI in Fintech Revenue, (2018-2023)
4.4 China Based Companies Cloud AI in Fintech Revenue and Market Share, 2018-2023
4.4.1 China Based Cloud AI in Fintech Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies Cloud AI in Fintech Revenue, (2018-2023)
4.5 Rest of World Based Cloud AI in Fintech Companies and Market Share, 2018-2023
4.5.1 Rest of World Based Cloud AI in Fintech Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies Cloud AI in Fintech Revenue, (2018-2023)
5 Market Analysis by Type
5.1 World Cloud AI in Fintech Market Size Overview by Type: 2018 VS 2022 VS 2029
5.2 Segment Introduction by Type
5.2.1 Solutions
5.2.2 Services
5.3 Market Segment by Type
5.3.1 World Cloud AI in Fintech Market Size by Type (2018-2023)
5.3.2 World Cloud AI in Fintech Market Size by Type (2024-2029)
5.3.3 World Cloud AI in Fintech Market Size Market Share by Type (2018-2029)
6 Market Analysis by Application
6.1 World Cloud AI in Fintech Market Size Overview by Application: 2018 VS 2022 VS 2029
6.2 Segment Introduction by Application
6.2.1 Chatbots
6.2.2 Credit Scoring
6.2.3 Quantitative and Asset Management
6.2.4 Fraud Detection
6.2.5 Fraud Detection
6.3 Market Segment by Application
6.3.1 World Cloud AI in Fintech Market Size by Application (2018-2023)
6.3.2 World Cloud AI in Fintech Market Size by Application (2024-2029)
6.3.3 World Cloud AI in Fintech Market Size by Application (2018-2029)
7 Company Profiles
7.1 Autodesk
7.1.1 Autodesk Details
7.1.2 Autodesk Major Business
7.1.3 Autodesk Cloud AI in Fintech Product and Services
7.1.4 Autodesk Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.1.5 Autodesk Recent Developments/Updates
7.1.6 Autodesk Competitive Strengths & Weaknesses
7.2 IBM
7.2.1 IBM Details
7.2.2 IBM Major Business
7.2.3 IBM Cloud AI in Fintech Product and Services
7.2.4 IBM Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.2.5 IBM Recent Developments/Updates
7.2.6 IBM Competitive Strengths & Weaknesses
7.3 SAP
7.3.1 SAP Details
7.3.2 SAP Major Business
7.3.3 SAP Cloud AI in Fintech Product and Services
7.3.4 SAP Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.3.5 SAP Recent Developments/Updates
7.3.6 SAP Competitive Strengths & Weaknesses
7.4 Fanuc
7.4.1 Fanuc Details
7.4.2 Fanuc Major Business
7.4.3 Fanuc Cloud AI in Fintech Product and Services
7.4.4 Fanuc Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.4.5 Fanuc Recent Developments/Updates
7.4.6 Fanuc Competitive Strengths & Weaknesses
7.5 Hanson Robotics
7.5.1 Hanson Robotics Details
7.5.2 Hanson Robotics Major Business
7.5.3 Hanson Robotics Cloud AI in Fintech Product and Services
7.5.4 Hanson Robotics Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.5.5 Hanson Robotics Recent Developments/Updates
7.5.6 Hanson Robotics Competitive Strengths & Weaknesses
7.6 Oracle
7.6.1 Oracle Details
7.6.2 Oracle Major Business
7.6.3 Oracle Cloud AI in Fintech Product and Services
7.6.4 Oracle Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.6.5 Oracle Recent Developments/Updates
7.6.6 Oracle Competitive Strengths & Weaknesses
7.7 Microsoft
7.7.1 Microsoft Details
7.7.2 Microsoft Major Business
7.7.3 Microsoft Cloud AI in Fintech Product and Services
7.7.4 Microsoft Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023)
7.7.5 Microsoft Recent Developments/Updates
7.7.6 Microsoft Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 Cloud AI in Fintech Industry Chain
8.2 Cloud AI in Fintech Upstream Analysis
8.3 Cloud AI in Fintech Midstream Analysis
8.4 Cloud AI in Fintech Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
Table of Figures
List of Tables
Table 1. World Cloud AI in Fintech Revenue by Region (2018, 2022 and 2029) & (USD Million), (by Headquarter Location)
Table 2. World Cloud AI in Fintech Revenue by Region (2018-2023) & (USD Million), (by Headquarter Location)
Table 3. World Cloud AI in Fintech Revenue by Region (2024-2029) & (USD Million), (by Headquarter Location)
Table 4. World Cloud AI in Fintech Revenue Market Share by Region (2018-2023), (by Headquarter Location)
Table 5. World Cloud AI in Fintech Revenue Market Share by Region (2024-2029), (by Headquarter Location)
Table 6. Major Market Trends
Table 7. World Cloud AI in Fintech Consumption Value Growth Rate Forecast by Region (2018 & 2022 & 2029) & (USD Million)
Table 8. World Cloud AI in Fintech Consumption Value by Region (2018-2023) & (USD Million)
Table 9. World Cloud AI in Fintech Consumption Value Forecast by Region (2024-2029) & (USD Million)
Table 10. World Cloud AI in Fintech Revenue by Player (2018-2023) & (USD Million)
Table 11. Revenue Market Share of Key Cloud AI in Fintech Players in 2022
Table 12. World Cloud AI in Fintech Industry Rank of Major Player, Based on Revenue in 2022
Table 13. Global Cloud AI in Fintech Company Evaluation Quadrant
Table 14. Head Office of Key Cloud AI in Fintech Player
Table 15. Cloud AI in Fintech Market: Company Product Type Footprint
Table 16. Cloud AI in Fintech Market: Company Product Application Footprint
Table 17. Cloud AI in Fintech Mergers & Acquisitions Activity
Table 18. United States VS China Cloud AI in Fintech Market Size Comparison, (2018 & 2022 & 2029) & (USD Million)
Table 19. United States VS China Cloud AI in Fintech Consumption Value Comparison, (2018 & 2022 & 2029) & (USD Million)
Table 20. United States Based Cloud AI in Fintech Companies, Headquarters (States, Country)
Table 21. United States Based Companies Cloud AI in Fintech Revenue, (2018-2023) & (USD Million)
Table 22. United States Based Companies Cloud AI in Fintech Revenue Market Share (2018-2023)
Table 23. China Based Cloud AI in Fintech Companies, Headquarters (Province, Country)
Table 24. China Based Companies Cloud AI in Fintech Revenue, (2018-2023) & (USD Million)
Table 25. China Based Companies Cloud AI in Fintech Revenue Market Share (2018-2023)
Table 26. Rest of World Based Cloud AI in Fintech Companies, Headquarters (States, Country)
Table 27. Rest of World Based Companies Cloud AI in Fintech Revenue, (2018-2023) & (USD Million)
Table 28. Rest of World Based Companies Cloud AI in Fintech Revenue Market Share (2018-2023)
Table 29. World Cloud AI in Fintech Market Size by Type, (USD Million), 2018 & 2022 & 2029
Table 30. World Cloud AI in Fintech Market Size by Type (2018-2023) & (USD Million)
Table 31. World Cloud AI in Fintech Market Size by Type (2024-2029) & (USD Million)
Table 32. World Cloud AI in Fintech Market Size by Application, (USD Million), 2018 & 2022 & 2029
Table 33. World Cloud AI in Fintech Market Size by Application (2018-2023) & (USD Million)
Table 34. World Cloud AI in Fintech Market Size by Application (2024-2029) & (USD Million)
Table 35. Autodesk Basic Information, Area Served and Competitors
Table 36. Autodesk Major Business
Table 37. Autodesk Cloud AI in Fintech Product and Services
Table 38. Autodesk Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 39. Autodesk Recent Developments/Updates
Table 40. Autodesk Competitive Strengths & Weaknesses
Table 41. IBM Basic Information, Area Served and Competitors
Table 42. IBM Major Business
Table 43. IBM Cloud AI in Fintech Product and Services
Table 44. IBM Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 45. IBM Recent Developments/Updates
Table 46. IBM Competitive Strengths & Weaknesses
Table 47. SAP Basic Information, Area Served and Competitors
Table 48. SAP Major Business
Table 49. SAP Cloud AI in Fintech Product and Services
Table 50. SAP Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 51. SAP Recent Developments/Updates
Table 52. SAP Competitive Strengths & Weaknesses
Table 53. Fanuc Basic Information, Area Served and Competitors
Table 54. Fanuc Major Business
Table 55. Fanuc Cloud AI in Fintech Product and Services
Table 56. Fanuc Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 57. Fanuc Recent Developments/Updates
Table 58. Fanuc Competitive Strengths & Weaknesses
Table 59. Hanson Robotics Basic Information, Area Served and Competitors
Table 60. Hanson Robotics Major Business
Table 61. Hanson Robotics Cloud AI in Fintech Product and Services
Table 62. Hanson Robotics Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 63. Hanson Robotics Recent Developments/Updates
Table 64. Hanson Robotics Competitive Strengths & Weaknesses
Table 65. Oracle Basic Information, Area Served and Competitors
Table 66. Oracle Major Business
Table 67. Oracle Cloud AI in Fintech Product and Services
Table 68. Oracle Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 69. Oracle Recent Developments/Updates
Table 70. Microsoft Basic Information, Area Served and Competitors
Table 71. Microsoft Major Business
Table 72. Microsoft Cloud AI in Fintech Product and Services
Table 73. Microsoft Cloud AI in Fintech Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
Table 74. Global Key Players of Cloud AI in Fintech Upstream (Raw Materials)
Table 75. Cloud AI in Fintech Typical Customers
List of Figure
Figure 1. Cloud AI in Fintech Picture
Figure 2. World Cloud AI in Fintech Total Market Size: 2018 & 2022 & 2029, (USD Million)
Figure 3. World Cloud AI in Fintech Total Market Size (2018-2029) & (USD Million)
Figure 4. World Cloud AI in Fintech Revenue Market Share by Region (2018, 2022 and 2029) & (USD Million) , (by Headquarter Location)
Figure 5. World Cloud AI in Fintech Revenue Market Share by Region (2018-2029), (by Headquarter Location)
Figure 6. United States Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 7. China Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 8. Europe Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 9. Japan Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 10. South Korea Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 11. ASEAN Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 12. India Based Company Cloud AI in Fintech Revenue (2018-2029) & (USD Million)
Figure 13. Cloud AI in Fintech Market Drivers
Figure 14. Factors Affecting Demand
Figure 15. World Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 16. World Cloud AI in Fintech Consumption Value Market Share by Region (2018-2029)
Figure 17. United States Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 18. China Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 19. Europe Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 20. Japan Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 21. South Korea Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 22. ASEAN Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 23. India Cloud AI in Fintech Consumption Value (2018-2029) & (USD Million)
Figure 24. Producer Shipments of Cloud AI in Fintech by Player Revenue ($MM) and Market Share (%): 2022
Figure 25. Global Four-firm Concentration Ratios (CR4) for Cloud AI in Fintech Markets in 2022
Figure 26. Global Four-firm Concentration Ratios (CR8) for Cloud AI in Fintech Markets in 2022
Figure 27. United States VS China: Cloud AI in Fintech Revenue Market Share Comparison (2018 & 2022 & 2029)
Figure 28. United States VS China: Cloud AI in Fintech Consumption Value Market Share Comparison (2018 & 2022 & 2029)
Figure 29. World Cloud AI in Fintech Market Size by Type, (USD Million), 2018 & 2022 & 2029
Figure 30. World Cloud AI in Fintech Market Size Market Share by Type in 2022
Figure 31. Solutions
Figure 32. Services
Figure 33. World Cloud AI in Fintech Market Size Market Share by Type (2018-2029)
Figure 34. World Cloud AI in Fintech Market Size by Application, (USD Million), 2018 & 2022 & 2029
Figure 35. World Cloud AI in Fintech Market Size Market Share by Application in 2022
Figure 36. Chatbots
Figure 37. Credit Scoring
Figure 38. Quantitative and Asset Management
Figure 39. Fraud Detection
Figure 40. Others
Figure 41. Cloud AI in Fintech Industrial Chain
Figure 42. Methodology
Figure 43. 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.
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.
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.
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.
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