
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.
Highlights
The global Artificial Intelligence (AI) in Fintech market was valued at US$ 4963.8 million in 2022 and is anticipated to reach US$ 11890 million by 2029, witnessing a CAGR of 15.7% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Artificial Intelligence (AI) in Fintech is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Artificial Intelligence (AI) in Fintech is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Artificial Intelligence (AI) in Fintech in Customer Service is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Artificial Intelligence (AI) in Fintech include Autodesk, IBM, Microsoft, Oracle, SAP, Fanuc and Hanson Robotics, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Fintech, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Fintech.
The Artificial Intelligence (AI) in Fintech market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence (AI) in Fintech market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Fintech companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Autodesk
IBM
Microsoft
Oracle
SAP
Fanuc
Hanson Robotics
Segment by Type
Hardware
Software
Services
Segment by Application
Customer Service
Credit Scores
Insurance Support
Financial Âé¶¹Ô´´ Prediction
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Fintech companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Customer Service
1.3.3 Credit Scores
1.3.4 Insurance Support
1.3.5 Financial Âé¶¹Ô´´ Prediction
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Perspective (2018-2029)
2.2 Artificial Intelligence (AI) in Fintech Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence (AI) in Fintech Historic Âé¶¹Ô´´ Size by Region (2018-2023)
2.2.3 Artificial Intelligence (AI) in Fintech Forecasted Âé¶¹Ô´´ Size by Region (2024-2029)
2.3 Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Dynamics
2.3.1 Artificial Intelligence (AI) in Fintech Industry Trends
2.3.2 Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Drivers
2.3.3 Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Challenges
2.3.4 Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Fintech Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Fintech Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence (AI) in Fintech Revenue Âé¶¹Ô´´ Share by Players (2018-2023)
3.2 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence (AI) in Fintech Revenue
3.4 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Fintech Revenue in 2022
3.5 Artificial Intelligence (AI) in Fintech Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence (AI) in Fintech Product Solution and Service
3.7 Date of Enter into Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Fintech Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Fintech Historic Âé¶¹Ô´´ Size by Type (2018-2023)
4.2 Global Artificial Intelligence (AI) in Fintech Forecasted Âé¶¹Ô´´ Size by Type (2024-2029)
5 Artificial Intelligence (AI) in Fintech Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Fintech Historic Âé¶¹Ô´´ Size by Application (2018-2023)
5.2 Global Artificial Intelligence (AI) in Fintech Forecasted Âé¶¹Ô´´ Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size (2018-2029)
6.2 North America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2018-2023)
6.4 North America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size (2018-2029)
7.2 Europe Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2018-2023)
7.4 Europe Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size (2018-2029)
9.2 Latin America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence (AI) in Fintech Âé¶¹Ô´´ Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Autodesk
11.1.1 Autodesk Company Detail
11.1.2 Autodesk Business Overview
11.1.3 Autodesk Artificial Intelligence (AI) in Fintech Introduction
11.1.4 Autodesk Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.1.5 Autodesk Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Artificial Intelligence (AI) in Fintech Introduction
11.2.4 IBM Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.2.5 IBM Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Artificial Intelligence (AI) in Fintech Introduction
11.3.4 Microsoft Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.3.5 Microsoft Recent Development
11.4 Oracle
11.4.1 Oracle Company Detail
11.4.2 Oracle Business Overview
11.4.3 Oracle Artificial Intelligence (AI) in Fintech Introduction
11.4.4 Oracle Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.4.5 Oracle Recent Development
11.5 SAP
11.5.1 SAP Company Detail
11.5.2 SAP Business Overview
11.5.3 SAP Artificial Intelligence (AI) in Fintech Introduction
11.5.4 SAP Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.5.5 SAP Recent Development
11.6 Fanuc
11.6.1 Fanuc Company Detail
11.6.2 Fanuc Business Overview
11.6.3 Fanuc Artificial Intelligence (AI) in Fintech Introduction
11.6.4 Fanuc Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.6.5 Fanuc Recent Development
11.7 Hanson Robotics
11.7.1 Hanson Robotics Company Detail
11.7.2 Hanson Robotics Business Overview
11.7.3 Hanson Robotics Artificial Intelligence (AI) in Fintech Introduction
11.7.4 Hanson Robotics Revenue in Artificial Intelligence (AI) in Fintech Business (2018-2023)
11.7.5 Hanson Robotics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Autodesk
IBM
Microsoft
Oracle
SAP
Fanuc
Hanson Robotics
Ìý
Ìý
*If Applicable.
