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Synopsis
The global AI in Fintech market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.6%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for AI in Fintech, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Fintech.
Report Scope
The AI in Fintech market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global 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 AI in Fintech companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
By Company
- Microsoft
- IBM
- Intel
- Amazon Web Services
- Meta
- NVIDIA
- Salesforce
- Amelia
- Nuance Communications
- ComplyAdvantage
- Baidu
- Alibaba Cloud
- Huawei
Segment by Type
- Machine Learning
- Computer Vision
- Smart Voice and Conversational AI
- Others
Segment by Application
- Banking
- Insurance
- Securities
- Others
Consumption by Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Russia)
- Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
- Latin America (Mexico, Brazil, Argentina, Colombia)
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 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 main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Fintech Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Smart Voice and Conversational AI
1.2.5 Others
1.3 Market by Application
1.3.1 Global AI in Fintech Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Banking
1.3.3 Insurance
1.3.4 Securities
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Fintech Market Perspective (2019-2030)
2.2 AI in Fintech Growth Trends by Region
2.2.1 Global AI in Fintech Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Fintech Historic Market Size by Region (2019-2024)
2.2.3 AI in Fintech Forecasted Market Size by Region (2025-2030)
2.3 AI in Fintech Market Dynamics
2.3.1 AI in Fintech Industry Trends
2.3.2 AI in Fintech Market Drivers
2.3.3 AI in Fintech Market Challenges
2.3.4 AI in Fintech Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Fintech Players by Revenue
3.1.1 Global Top AI in Fintech Players by Revenue (2019-2024)
3.1.2 Global AI in Fintech Revenue Market Share by Players (2019-2024)
3.2 Global AI in Fintech Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Fintech Revenue
3.4 Global AI in Fintech Market Concentration Ratio
3.4.1 Global AI in Fintech Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Fintech Revenue in 2023
3.5 AI in Fintech Key Players Head office and Area Served
3.6 Key Players AI in Fintech Product Solution and Service
3.7 Date of Enter into AI in Fintech Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Fintech Breakdown Data by Type
4.1 Global AI in Fintech Historic Market Size by Type (2019-2024)
4.2 Global AI in Fintech Forecasted Market Size by Type (2025-2030)
5 AI in Fintech Breakdown Data by Application
5.1 Global AI in Fintech Historic Market Size by Application (2019-2024)
5.2 Global AI in Fintech Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Fintech Market Size (2019-2030)
6.2 North America AI in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Fintech Market Size by Country (2019-2024)
6.4 North America AI in Fintech Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Fintech Market Size (2019-2030)
7.2 Europe AI in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Fintech Market Size by Country (2019-2024)
7.4 Europe AI in Fintech Market Size by Country (2025-2030)
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 AI in Fintech Market Size (2019-2030)
8.2 Asia-Pacific AI in Fintech Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Fintech Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Fintech Market Size by Region (2025-2030)
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 AI in Fintech Market Size (2019-2030)
9.2 Latin America AI in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Fintech Market Size by Country (2019-2024)
9.4 Latin America AI in Fintech Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Fintech Market Size (2019-2030)
10.2 Middle East & Africa AI in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Fintech Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Fintech Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft AI in Fintech Introduction
11.1.4 Microsoft Revenue in AI in Fintech Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM AI in Fintech Introduction
11.2.4 IBM Revenue in AI in Fintech Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Intel
11.3.1 Intel Company Detail
11.3.2 Intel Business Overview
11.3.3 Intel AI in Fintech Introduction
11.3.4 Intel Revenue in AI in Fintech Business (2019-2024)
11.3.5 Intel Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google AI in Fintech Introduction
11.4.4 Google Revenue in AI in Fintech Business (2019-2024)
11.4.5 Google Recent Development
11.5 Amazon Web Services
11.5.1 Amazon Web Services Company Detail
11.5.2 Amazon Web Services Business Overview
11.5.3 Amazon Web Services AI in Fintech Introduction
11.5.4 Amazon Web Services Revenue in AI in Fintech Business (2019-2024)
11.5.5 Amazon Web Services Recent Development
11.6 Meta
11.6.1 Meta Company Detail
11.6.2 Meta Business Overview
11.6.3 Meta AI in Fintech Introduction
11.6.4 Meta Revenue in AI in Fintech Business (2019-2024)
11.6.5 Meta Recent Development
11.7 NVIDIA
11.7.1 NVIDIA Company Detail
11.7.2 NVIDIA Business Overview
11.7.3 NVIDIA AI in Fintech Introduction
11.7.4 NVIDIA Revenue in AI in Fintech Business (2019-2024)
11.7.5 NVIDIA Recent Development
11.8 Salesforce
11.8.1 Salesforce Company Detail
11.8.2 Salesforce Business Overview
11.8.3 Salesforce AI in Fintech Introduction
11.8.4 Salesforce Revenue in AI in Fintech Business (2019-2024)
11.8.5 Salesforce Recent Development
11.9 Amelia
11.9.1 Amelia Company Detail
11.9.2 Amelia Business Overview
11.9.3 Amelia AI in Fintech Introduction
11.9.4 Amelia Revenue in AI in Fintech Business (2019-2024)
11.9.5 Amelia Recent Development
11.10 Nuance Communications
11.10.1 Nuance Communications Company Detail
11.10.2 Nuance Communications Business Overview
11.10.3 Nuance Communications AI in Fintech Introduction
11.10.4 Nuance Communications Revenue in AI in Fintech Business (2019-2024)
11.10.5 Nuance Communications Recent Development
11.11 ComplyAdvantage
11.11.1 ComplyAdvantage Company Detail
11.11.2 ComplyAdvantage Business Overview
11.11.3 ComplyAdvantage AI in Fintech Introduction
11.11.4 ComplyAdvantage Revenue in AI in Fintech Business (2019-2024)
11.11.5 ComplyAdvantage Recent Development
11.12 Baidu
11.12.1 Baidu Company Detail
11.12.2 Baidu Business Overview
11.12.3 Baidu AI in Fintech Introduction
11.12.4 Baidu Revenue in AI in Fintech Business (2019-2024)
11.12.5 Baidu Recent Development
11.13 Alibaba Cloud
11.13.1 Alibaba Cloud Company Detail
11.13.2 Alibaba Cloud Business Overview
11.13.3 Alibaba Cloud AI in Fintech Introduction
11.13.4 Alibaba Cloud Revenue in AI in Fintech Business (2019-2024)
11.13.5 Alibaba Cloud Recent Development
11.14 Huawei
11.14.1 Huawei Company Detail
11.14.2 Huawei Business Overview
11.14.3 Huawei AI in Fintech Introduction
11.14.4 Huawei Revenue in AI in Fintech Business (2019-2024)
11.14.5 Huawei 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
Published By : QY Research
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