Global Artificial Intelligence (AI) in Fintech Market 2024 by Company, Regions, Type and Application, Forecast to 2030

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Published Date: 02 Jan 2024

Category: New Technology

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

Description

According to our latest research, the global Artificial Intelligence (AI) in Fintech market size will reach USD 44120 million in 2030, growing at a CAGR of 16.0% over the analysis period.

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.

There are various market drivers for artificial intelligence (AI) in the financial technology (Fintech) sector, which are driving financial institutions to adopt AI technology to improve efficiency, reduce risks and provide better services. Here are some of the key market drivers:
Data analysis and decision support: Financial institutions are faced with massive amounts of data, and AI can analyze this data and provide more accurate decision support. This helps predict market trends, identify risks, formulate investment strategies, and more.

Automation and efficiency improvements: AI can be used to automate financial processes such as loan approval, customer service, fraud detection, settlement and settlement, etc. This reduces labor costs, speeds up transaction processing, and reduces errors.

Personalized financial services: AI can provide personalized financial services and recommendations based on customer needs and preferences. This increases customer satisfaction and aids in customer retention.

Risk management: AI technology can be used to monitor market risk, credit risk and operational risk in real time. This enables financial institutions to better manage risks and take timely measures.

Anti-fraud: AI can be used to detect financial fraud and illegal activity. By analyzing transaction patterns and behavior, potential fraud can be identified.

Digital payment and virtual currency: Fintech companies are promoting the development of digital payment and virtual currency. The application of AI technology in these fields can provide more secure, efficient and convenient payment methods.

These factors co-prosper
Market segmentation
Artificial Intelligence (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
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
NVIDIA
AWS
Intel
Yusys Technologies
JD
Baidu
Alibaba
Huawei
ByteDance

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 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 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: 2024 Versus 2030
        1.2.2 Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Type in 2030
        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: 2024 Versus 2030
        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 NVIDIA
        2.7.1 NVIDIA Details
        2.7.2 NVIDIA Major Business
        2.7.3 NVIDIA Artificial Intelligence (AI) in Fintech Product and Solutions
        2.7.4 NVIDIA Recent Developments and Future Plans
    2.8 AWS
        2.8.1 AWS Details
        2.8.2 AWS Major Business
        2.8.3 AWS Artificial Intelligence (AI) in Fintech Product and Solutions
        2.8.4 AWS Recent Developments and Future Plans
    2.9 Intel
        2.9.1 Intel Details
        2.9.2 Intel Major Business
        2.9.3 Intel Artificial Intelligence (AI) in Fintech Product and Solutions
        2.9.4 Intel Recent Developments and Future Plans
    2.10 Yusys Technologies
        2.10.1 Yusys Technologies Details
        2.10.2 Yusys Technologies Major Business
        2.10.3 Yusys Technologies Artificial Intelligence (AI) in Fintech Product and Solutions
        2.10.4 Yusys Technologies Recent Developments and Future Plans
    2.11 JD
        2.11.1 JD Details
        2.11.2 JD Major Business
        2.11.3 JD Artificial Intelligence (AI) in Fintech Product and Solutions
        2.11.4 JD Recent Developments and Future Plans
    2.12 Baidu
        2.12.1 Baidu Details
        2.12.2 Baidu Major Business
        2.12.3 Baidu Artificial Intelligence (AI) in Fintech Product and Solutions
        2.12.4 Baidu Recent Developments and Future Plans
    2.13 Alibaba
        2.13.1 Alibaba Details
        2.13.2 Alibaba Major Business
        2.13.3 Alibaba Artificial Intelligence (AI) in Fintech Product and Solutions
        2.13.4 Alibaba Recent Developments and Future Plans
    2.14 Huawei
        2.14.1 Huawei Details
        2.14.2 Huawei Major Business
        2.14.3 Huawei Artificial Intelligence (AI) in Fintech Product and Solutions
        2.14.4 Huawei Recent Developments and Future Plans
    2.15 ByteDance
        2.15.1 ByteDance Details
        2.15.2 ByteDance Major Business
        2.15.3 ByteDance Artificial Intelligence (AI) in Fintech Product and Solutions
        2.15.4 ByteDance Recent Developments and Future Plans

3 Market Competition, by Players
    3.1 Global Artificial Intelligence (AI) in Fintech Revenue and Share by Players (2024 & 2030)
    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: 2024 VS 2030
    4.2 Global Artificial Intelligence (AI) in Fintech Market Size by Region, (2024-2030)
    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 (2024-2030)
    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 (2024-2030)
    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 (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 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 (2024-2030)
    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 (2024-2030)

5 Market Size Segment by Type
    5.1 Global Artificial Intelligence (AI) in Fintech Market Forecast by Type (2024-2030)
    5.2 Global Artificial Intelligence (AI) in Fintech Market Share Forecast by Type (2024-2030)

6 Market Size Segment by Application
    6.1 Global Artificial Intelligence (AI) in Fintech Market Forecast by Application (2024-2030)
    6.2 Global Artificial Intelligence (AI) in Fintech Market Share Forecast by Application (2024-2030)

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), 2024 VS 2030
    Table 2. Global Artificial Intelligence (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 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. NVIDIA Corporate Information, Head Office, and Major Competitors
    Table 22. NVIDIA Major Business
    Table 23. NVIDIA Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 24. AWS Corporate Information, Head Office, and Major Competitors
    Table 25. AWS Major Business
    Table 26. AWS Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 27. Intel Corporate Information, Head Office, and Major Competitors
    Table 28. Intel Major Business
    Table 29. Intel Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 30. Yusys Technologies Corporate Information, Head Office, and Major Competitors
    Table 31. Yusys Technologies Major Business
    Table 32. Yusys Technologies Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 33. JD Corporate Information, Head Office, and Major Competitors
    Table 34. JD Major Business
    Table 35. JD Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 36. Baidu Corporate Information, Head Office, and Major Competitors
    Table 37. Baidu Major Business
    Table 38. Baidu Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 39. Alibaba Corporate Information, Head Office, and Major Competitors
    Table 40. Alibaba Major Business
    Table 41. Alibaba Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 42. Huawei Corporate Information, Head Office, and Major Competitors
    Table 43. Huawei Major Business
    Table 44. Huawei Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 45. ByteDance Corporate Information, Head Office, and Major Competitors
    Table 46. ByteDance Major Business
    Table 47. ByteDance Artificial Intelligence (AI) in Fintech Product and Solutions
    Table 48. Global Artificial Intelligence (AI) in Fintech Revenue (USD Million) by Players (2024 & 2030)
    Table 49. Global Artificial Intelligence (AI) in Fintech Revenue Share by Players (2024 & 2030)
    Table 50. Artificial Intelligence (AI) in Fintech Players Head Office, Products and Services Provided
    Table 51. Artificial Intelligence (AI) in Fintech Mergers & Acquisitions in the Past Five Years
    Table 52. Artificial Intelligence (AI) in Fintech New Entrants and Expansion Plans
    Table 53. Global Market Artificial Intelligence (AI) in Fintech Revenue (USD Million) Comparison by Region (2024 VS 2030)
    Table 54. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Region (2024-2030)
    Table 55. Key Companies of Artificial Intelligence (AI) in Fintech in North America
    Table 56. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in North America
    Table 57. Key Companies of Artificial Intelligence (AI) in Fintech in Europe
    Table 58. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Europe
    Table 59. Key Companies of Artificial Intelligence (AI) in Fintech in Asia-Pacific
    Table 60. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Asia-Pacific
    Table 61. Key Companies of Artificial Intelligence (AI) in Fintech in China
    Table 62. Key Companies of Artificial Intelligence (AI) in Fintech in Japan
    Table 63. Key Companies of Artificial Intelligence (AI) in Fintech in South Korea
    Table 64. Key Companies of Artificial Intelligence (AI) in Fintech in South America
    Table 65. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in South America
    Table 66. Key Companies of Artificial Intelligence (AI) in Fintech in Middle East & Africa
    Table 67. Current Situation and Forecast of Artificial Intelligence (AI) in Fintech in Middle East & Africa
    Table 68. Global Artificial Intelligence (AI) in Fintech Revenue Forecast by Type (2024-2030)
    Table 69. Global Artificial Intelligence (AI) in Fintech Revenue Forecast by Application (2024-2030)
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 2030
    Figure 3. Hardware
    Figure 4. Software
    Figure 5. Services
    Figure 6. Artificial Intelligence (AI) in Fintech Revenue Market Share by Application in 2030
    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): 2024 VS 2030
    Figure 12. Global Artificial Intelligence (AI) in Fintech Revenue and Forecast (2024-2030) & (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. NVIDIA Recent Developments and Future Plans
    Figure 23. AWS Recent Developments and Future Plans
    Figure 24. Intel Recent Developments and Future Plans
    Figure 25. Yusys Technologies Recent Developments and Future Plans
    Figure 26. JD Recent Developments and Future Plans
    Figure 27. Baidu Recent Developments and Future Plans
    Figure 28. Alibaba Recent Developments and Future Plans
    Figure 29. Huawei Recent Developments and Future Plans
    Figure 30. ByteDance Recent Developments and Future Plans
    Figure 31. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Region (2024-2030)
    Figure 32. Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Region in 2030
    Figure 33. North America Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
    Figure 34. Europe Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
    Figure 35. Asia-Pacific Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
    Figure 36. South America Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
    Figure 37. Middle East & Africa Artificial Intelligence (AI) in Fintech Revenue (USD Million) and Growth Rate (2024-2030)
    Figure 38. Global Artificial Intelligence (AI) in Fintech Market Share Forecast by Type (2024-2030)
    Figure 39. Global Artificial Intelligence (AI) in Fintech Market Share Forecast by Application (2024-2030)
    Figure 40. Methodology
    Figure 41. 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
NVIDIA
AWS
Intel
Yusys Technologies
JD
Baidu
Alibaba
Huawei
ByteDance

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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.

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