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Home > Global AI in Fintech Market Research Report 2023

Global AI in Fintech Market Research Report 2023

Publication ID: 
PB503231657
Publication Date: 
March 14, 2023
Pages: 
86
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 2,900.00

Please choose the suitable license type from above. More details are given under tab "Report License Types" below.

IT Services [2]
Computing & Electronics [3]
Description: 

Highlights
The global AI in Fintech market was valued at US$ 6492.3 million in 2022 and is anticipated to reach US$ 17440 million by 2029, witnessing a CAGR of 17.9% 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 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 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 AI in Fintech in Virtual Assistant 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 AI in Fintech include Microsoft (US), Google (California, US), Salesforce (US), IBM (US), Intel (US), Amazon Web Services (US), Inbenta Technologies (US), IPsoft (US) and Nuance Communications (US), 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 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.
The 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 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 for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Microsoft (US)
Google (California, US)
Salesforce (US)
IBM (US)
Intel (US)
Amazon Web Services (US)
Inbenta Technologies (US)
IPsoft (US)
Nuance Communications (US)
ComplyAdvantage (US)
Segment by Type
Software Tools
Platforms
Segment by Application
Virtual Assistant
Business Analytics and Reporting
Customer Behavioral Analytics
Others
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 AI in Fintech companies鈥� 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents: 

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: 2018 VS 2022 VS 2029
1.2.2 Software Tools
1.2.3 Platforms
1.3 Market by Application
1.3.1 Global AI in Fintech Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Virtual Assistant
1.3.3 Business Analytics and Reporting
1.3.4 Customer Behavioral Analytics
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 (2018-2029)
2.2 AI in Fintech Growth Trends by Region
2.2.1 Global AI in Fintech Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI in Fintech Historic Market Size by Region (2018-2023)
2.2.3 AI in Fintech Forecasted Market Size by Region (2024-2029)
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 (2018-2023)
3.1.2 Global AI in Fintech Revenue Market Share by Players (2018-2023)
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 2022
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 (2018-2023)
4.2 Global AI in Fintech Forecasted Market Size by Type (2024-2029)
5 AI in Fintech Breakdown Data by Application
5.1 Global AI in Fintech Historic Market Size by Application (2018-2023)
5.2 Global AI in Fintech Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI in Fintech Market Size (2018-2029)
6.2 North America AI in Fintech Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI in Fintech Market Size by Country (2018-2023)
6.4 North America AI in Fintech Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Fintech Market Size (2018-2029)
7.2 Europe AI in Fintech Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI in Fintech Market Size by Country (2018-2023)
7.4 Europe AI in Fintech Market 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 AI in Fintech Market Size (2018-2029)
8.2 Asia-Pacific AI in Fintech Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI in Fintech Market Size by Region (2018-2023)
8.4 Asia-Pacific AI in Fintech Market 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 AI in Fintech Market Size (2018-2029)
9.2 Latin America AI in Fintech Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI in Fintech Market Size by Country (2018-2023)
9.4 Latin America AI in Fintech Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Fintech Market Size (2018-2029)
10.2 Middle East & Africa AI in Fintech Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI in Fintech Market Size by Country (2018-2023)
10.4 Middle East & Africa AI in Fintech Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft (US)
11.1.1 Microsoft (US) Company Detail
11.1.2 Microsoft (US) Business Overview
11.1.3 Microsoft (US) AI in Fintech Introduction
11.1.4 Microsoft (US) Revenue in AI in Fintech Business (2018-2023)
11.1.5 Microsoft (US) Recent Development
11.2 Google (California, US)
11.2.1 Google (California, US) Company Detail
11.2.2 Google (California, US) Business Overview
11.2.3 Google (California, US) AI in Fintech Introduction
11.2.4 Google (California, US) Revenue in AI in Fintech Business (2018-2023)
11.2.5 Google (California, US) Recent Development
11.3 Salesforce (US)
11.3.1 Salesforce (US) Company Detail
11.3.2 Salesforce (US) Business Overview
11.3.3 Salesforce (US) AI in Fintech Introduction
11.3.4 Salesforce (US) Revenue in AI in Fintech Business (2018-2023)
11.3.5 Salesforce (US) Recent Development
11.4 IBM (US)
11.4.1 IBM (US) Company Detail
11.4.2 IBM (US) Business Overview
11.4.3 IBM (US) AI in Fintech Introduction
11.4.4 IBM (US) Revenue in AI in Fintech Business (2018-2023)
11.4.5 IBM (US) Recent Development
11.5 Intel (US)
11.5.1 Intel (US) Company Detail
11.5.2 Intel (US) Business Overview
11.5.3 Intel (US) AI in Fintech Introduction
11.5.4 Intel (US) Revenue in AI in Fintech Business (2018-2023)
11.5.5 Intel (US) Recent Development
11.6 Amazon Web Services (US)
11.6.1 Amazon Web Services (US) Company Detail
11.6.2 Amazon Web Services (US) Business Overview
11.6.3 Amazon Web Services (US) AI in Fintech Introduction
11.6.4 Amazon Web Services (US) Revenue in AI in Fintech Business (2018-2023)
11.6.5 Amazon Web Services (US) Recent Development
11.7 Inbenta Technologies (US)
11.7.1 Inbenta Technologies (US) Company Detail
11.7.2 Inbenta Technologies (US) Business Overview
11.7.3 Inbenta Technologies (US) AI in Fintech Introduction
11.7.4 Inbenta Technologies (US) Revenue in AI in Fintech Business (2018-2023)
11.7.5 Inbenta Technologies (US) Recent Development
11.8 IPsoft (US)
11.8.1 IPsoft (US) Company Detail
11.8.2 IPsoft (US) Business Overview
11.8.3 IPsoft (US) AI in Fintech Introduction
11.8.4 IPsoft (US) Revenue in AI in Fintech Business (2018-2023)
11.8.5 IPsoft (US) Recent Development
11.9 Nuance Communications (US)
11.9.1 Nuance Communications (US) Company Detail
11.9.2 Nuance Communications (US) Business Overview
11.9.3 Nuance Communications (US) AI in Fintech Introduction
11.9.4 Nuance Communications (US) Revenue in AI in Fintech Business (2018-2023)
11.9.5 Nuance Communications (US) Recent Development
11.10 ComplyAdvantage (US)
11.10.1 ComplyAdvantage (US) Company Detail
11.10.2 ComplyAdvantage (US) Business Overview
11.10.3 ComplyAdvantage (US) AI in Fintech Introduction
11.10.4 ComplyAdvantage (US) Revenue in AI in Fintech Business (2018-2023)
11.10.5 ComplyAdvantage (US) 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

Companies Mentioned: 

Microsoft (US)
Google (California, US)
Salesforce (US)
IBM (US)
Intel (US)
Amazon Web Services (US)
Inbenta Technologies (US)
IPsoft (US)
Nuance Communications (US)
ComplyAdvantage (US)

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