Global Cloud AI in Fintech Market 2023 by Company, Regions, Type and Application, Forecast to 2029

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Published Date: 04 Jan 2023

Category: New Technology

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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags

Description

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.

According to our latest research, the global Cloud AI in Fintech market size will reach USD million in 2029, growing at a CAGR of % over the analysis period.

Market segmentation
Cloud AI in Fintech market is split by Type and by Application. For the period 2023-2029, 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 2023 to 2029.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2023 to 2029.
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: 2022 Versus 2028
        1.2.2 Global Cloud AI in Fintech Revenue Market Share by Type in 2029
        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: 2023 Versus 2029
        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 Company Profiles
    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 Market Competition, by Players
    3.1 Global Cloud AI in Fintech Revenue and Share by Players (2023 & 2029)
    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 Global Cloud AI in Fintech Forecast by Region
    4.1 Global Cloud AI in Fintech Market Size by Region: 2023 VS 2029
    4.2 Global Cloud AI in Fintech Market Size by Region, (2023-2029)
    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 (2023-2029)
    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 (2023-2029)
    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 (2023-2029)
        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 (2023-2029)
    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 (2023-2029)

5 Market Size Segment by Type
    5.1 Global Cloud AI in Fintech Market Forecast by Type (2023-2029)
    5.2 Global Cloud AI in Fintech Market Share Forecast by Type (2023-2029)

6 Market Size Segment by Application
    6.1 Global Cloud AI in Fintech Market Forecast by Application (2023-2029)
    6.2 Global Cloud AI in Fintech Market Share Forecast by Application (2023-2029)

7 Research Findings and Conclusion

8 Appendix
    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), 2023 VS 2029
Table 2. Global Cloud AI in Fintech Revenue by Application, (USD Million), 2023 VS 2029
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 (2023 & 2029)
Table 25. Global Cloud AI in Fintech Revenue Share by Players (2023 & 2029)
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 (2023 VS 2029)
Table 30. Global Cloud AI in Fintech Revenue Market Share by Region (2023-2029)
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 (2023-2029)
Table 45. Global Cloud AI in Fintech Revenue Forecast by Application (2023-2029)
List of Figures
Figure 1. Cloud AI in Fintech Picture
Figure 2. Global Cloud AI in Fintech Revenue Market Share by Type in 2029
Figure 3. Solutions
Figure 4. Services
Figure 5. Cloud AI in Fintech Revenue Market Share by Application in 2029
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): 2023 VS 2029
Figure 12. Global Cloud AI in Fintech Revenue and Forecast (2023-2029) & (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 (2023-2029)
Figure 24. Global Cloud AI in Fintech Revenue Market Share by Region in 2029
Figure 25. North America Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 26. Europe Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 27. Asia-Pacific Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 28. South America Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 29. Middle East & Africa Cloud AI in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 30. Global Cloud AI in Fintech Market Share Forecast by Type (2023-2029)
Figure 31. Global Cloud AI in Fintech Market Share Forecast by Application (2023-2029)
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.
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.

Companies Mentioned

Autodesk
IBM
SAP
Fanuc
Hanson Robotics
Oracle
Microsoft

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Product Tags

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