Global Artificial Intelligence (AI) in Fintech Market 2023 by Company, Regions, Type and Application, Forecast to 2029
Page: 88
Published Date: 03 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
As FinTech applies data and technology to financial services in an effort to address industry challenges, artificial intelligence is essential to FinTech’s existence and usage.
The Artificial Intelligence (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 Artificial Intelligence (AI) in Fintech market size will reach USD 11520 million in 2029, growing at a CAGR of 15.0% over the analysis period.
Market segmentation
Artificial Intelligence (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
Hardware
Software
Services
Market segment by Application, can be divided into
Customer Service
Credit Scores
Insurance Support
Financial Market Prediction
Market segment by players, this report covers
Autodesk
IBM
Microsoft
Oracle
SAP
Fanuc
Hanson Robotics
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 Artificial Intelligence (AI) in Fintech product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Artificial Intelligence (AI) in Fintech, with recent developments and future plans
Chapter 3, the Artificial Intelligence (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 Artificial Intelligence (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 Artificial Intelligence (AI) in Fintech research findings and conclusion, appendix and data source.
Table of Contents
1 Market Overview
1.1 Product Overview and Scope of Artificial Intelligence (AI) in Fintech
1.2 Classification of Artificial Intelligence (AI) in Fintech by Type
1.2.1 Overview: Global Artificial Intelligence (AI) in Fintech Market Size by Type: 2022 Versus 2028
1.2.2 Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Type in 2029
1.2.3 Hardware
1.2.4 Software
1.2.5 Services
1.3 Global Artificial Intelligence (AI) in Fintech Market by Application
1.3.1 Overview: Global Artificial Intelligence (AI) in Fintech Market Size by Application: 2023 Versus 2029
1.3.2 Customer Service
1.3.3 Credit Scores
1.3.4 Insurance Support
1.3.5 Financial Market Prediction
1.4 Global Artificial Intelligence (AI) in Fintech Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 Artificial Intelligence (AI) in Fintech Market Drivers
1.5.2 Artificial Intelligence (AI) in Fintech Market Restraints
1.5.3 Artificial Intelligence (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 Artificial Intelligence (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 Artificial Intelligence (AI) in Fintech Product and Solutions
2.2.4 IBM Recent Developments and Future Plans
2.3 Microsoft
2.3.1 Microsoft Details
2.3.2 Microsoft Major Business
2.3.3 Microsoft Artificial Intelligence (AI) in Fintech Product and Solutions
2.3.4 Microsoft Recent Developments and Future Plans
2.4 Oracle
2.4.1 Oracle Details
2.4.2 Oracle Major Business
2.4.3 Oracle Artificial Intelligence (AI) in Fintech Product and Solutions
2.4.4 Oracle Recent Developments and Future Plans
2.5 SAP
2.5.1 SAP Details
2.5.2 SAP Major Business
2.5.3 SAP Artificial Intelligence (AI) in Fintech Product and Solutions
2.5.4 SAP Recent Developments and Future Plans
2.6 Fanuc
2.6.1 Fanuc Details
2.6.2 Fanuc Major Business
2.6.3 Fanuc Artificial Intelligence (AI) in Fintech Product and Solutions
2.6.4 Fanuc Recent Developments and Future Plans
2.7 Hanson Robotics
2.7.1 Hanson Robotics Details
2.7.2 Hanson Robotics Major Business
2.7.3 Hanson Robotics Artificial Intelligence (AI) in Fintech Product and Solutions
2.7.4 Hanson Robotics Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Artificial Intelligence (AI) in Fintech Revenue and Share by Players (2023 & 2029)
3.2 Artificial Intelligence (AI) in Fintech Players Head Office, Products and Services Provided
3.3 Artificial Intelligence (AI) in Fintech Mergers & Acquisitions
3.4 Artificial Intelligence (AI) in Fintech New Entrants and Expansion Plans
4 Global Artificial Intelligence (AI) in Fintech Forecast by Region
4.1 Global Artificial Intelligence (AI) in Fintech Market Size by Region: 2023 VS 2029
4.2 Global Artificial Intelligence (AI) in Fintech Market Size by Region, (2023-2029)
4.3 North America
4.3.1 Key Companies of Artificial Intelligence (AI) in Fintech in North America
4.3.2 Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in North America
4.3.3 North America Artificial Intelligence (AI) in Fintech Market Size and Prospect (2023-2029)
4.4 Europe
4.4.1 Key Companies of Artificial Intelligence (AI) in Fintech in Europe
4.4.2 Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Europe
4.4.3 Europe Artificial Intelligence (AI) in Fintech Market Size and Prospect (2023-2029)
4.5 Asia-Pacific
4.5.1 Key Companies of Artificial Intelligence (AI) in Fintech in Asia-Pacific
4.5.2 Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Asia-Pacific
4.5.3 Asia-Pacific Artificial Intelligence (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 Artificial Intelligence (AI) in Fintech in South America
4.6.2 Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in South America
4.6.3 South America Artificial Intelligence (AI) in Fintech Market Size and Prospect (2023-2029)
4.7 Middle East & Africa
4.7.1 Key Companies of Artificial Intelligence (AI) in Fintech in Middle East & Africa
4.7.2 Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Middle East & Africa
4.7.3 Middle East & Africa Artificial Intelligence (AI) in Fintech Market Size and Prospect (2023-2029)
5 Market Size Segment by Type
5.1 Global Artificial Intelligence (AI) in Fintech Market Forecast by Type (2023-2029)
5.2 Global Artificial Intelligence (AI) in Fintech Market Share Forecast by Type (2023-2029)
6 Market Size Segment by Application
6.1 Global Artificial Intelligence (AI) in Fintech Market Forecast by Application (2023-2029)
6.2 Global Artificial Intelligence (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 Artificial Intelligence (AI) in Fintech Revenue by Type, (USD Million), 2023 VS 2029
Table 2. Global Artificial Intelligence (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 Artificial Intelligence (AI) in Fintech Product and Solutions
Table 6. IBM Corporate Information, Head Office, and Major Competitors
Table 7. IBM Major Business
Table 8. IBM Artificial Intelligence (AI) in Fintech Product and Solutions
Table 9. Microsoft Corporate Information, Head Office, and Major Competitors
Table 10. Microsoft Major Business
Table 11. Microsoft Artificial Intelligence (AI) in Fintech Product and Solutions
Table 12. Oracle Corporate Information, Head Office, and Major Competitors
Table 13. Oracle Major Business
Table 14. Oracle Artificial Intelligence (AI) in Fintech Product and Solutions
Table 15. SAP Corporate Information, Head Office, and Major Competitors
Table 16. SAP Major Business
Table 17. SAP Artificial Intelligence (AI) in Fintech Product and Solutions
Table 18. Fanuc Corporate Information, Head Office, and Major Competitors
Table 19. Fanuc Major Business
Table 20. Fanuc Artificial Intelligence (AI) in Fintech Product and Solutions
Table 21. Hanson Robotics Corporate Information, Head Office, and Major Competitors
Table 22. Hanson Robotics Major Business
Table 23. Hanson Robotics Artificial Intelligence (AI) in Fintech Product and Solutions
Table 24. Global Artificial Intelligence (AI) in Fintech Revenue (USD Million) by Players (2023 & 2029)
Table 25. Global Artificial Intelligence (AI) in Fintech Revenue Share by Players (2023 & 2029)
Table 26. Artificial Intelligence (AI) in Fintech Players Head Office, Products and Services Provided
Table 27. Artificial Intelligence (AI) in Fintech Mergers & Acquisitions in the Past Five Years
Table 28. Artificial Intelligence (AI) in Fintech New Entrants and Expansion Plans
Table 29. Global Market Artificial Intelligence (AI) in Fintech Revenue (USD Million) Comparison by Region (2023 VS 2029)
Table 30. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Region (2023-2029)
Table 31. Key Companies of Artificial Intelligence (AI) in Fintech in North America
Table 32. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in North America
Table 33. Key Companies of Artificial Intelligence (AI) in Fintech in Europe
Table 34. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Europe
Table 35. Key Companies of Artificial Intelligence (AI) in Fintech in Asia-Pacific
Table 36. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Asia-Pacific
Table 37. Key Companies of Artificial Intelligence (AI) in Fintech in China
Table 38. Key Companies of Artificial Intelligence (AI) in Fintech in Japan
Table 39. Key Companies of Artificial Intelligence (AI) in Fintech in South Korea
Table 40. Key Companies of Artificial Intelligence (AI) in Fintech in South America
Table 41. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in South America
Table 42. Key Companies of Artificial Intelligence (AI) in Fintech in Middle East & Africa
Table 43. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Middle East & Africa
Table 44. Global Artificial Intelligence (AI) in Fintech Revenue Forecast by Type (2023-2029)
Table 45. Global Artificial Intelligence (AI) in Fintech Revenue Forecast by Application (2023-2029)
List of Figures
Figure 1. Artificial Intelligence (AI) in Fintech Picture
Figure 2. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Type in 2029
Figure 3. Hardware
Figure 4. Software
Figure 5. Services
Figure 6. Artificial Intelligence (AI) in Fintech Revenue Market Share by Application in 2029
Figure 7. Customer Service Picture
Figure 8. Credit Scores Picture
Figure 9. Insurance Support Picture
Figure 10. Financial Market Prediction Picture
Figure 11. Global Artificial Intelligence (AI) in Fintech Market Size, (USD Million): 2023 VS 2029
Figure 12. Global Artificial Intelligence (AI) in Fintech Revenue and Forecast (2023-2029) & (USD Million)
Figure 13. Artificial Intelligence (AI) in Fintech Market Drivers
Figure 14. Artificial Intelligence (AI) in Fintech Market Restraints
Figure 15. Artificial Intelligence (AI) in Fintech Market Trends
Figure 16. Autodesk Recent Developments and Future Plans
Figure 17. IBM Recent Developments and Future Plans
Figure 18. Microsoft Recent Developments and Future Plans
Figure 19. Oracle Recent Developments and Future Plans
Figure 20. SAP Recent Developments and Future Plans
Figure 21. Fanuc Recent Developments and Future Plans
Figure 22. Hanson Robotics Recent Developments and Future Plans
Figure 23. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Region (2023-2029)
Figure 24. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Region in 2029
Figure 25. North America Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 26. Europe Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 27. Asia-Pacific Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 28. South America Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 29. Middle East & Africa Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2023-2029)
Figure 30. Global Artificial Intelligence (AI) in Fintech Market Share Forecast by Type (2023-2029)
Figure 31. Global Artificial Intelligence (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 Microsoft Oracle SAP Fanuc Hanson Robotics
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