
In theÌýfinanceÌýindustry,ÌýAI canÌýbeÌýusedÌýto examine cash accounts, credit accounts, and investment accounts to look at a person's overallÌýfinancialÌýhealth, keeping up with real-time changes and then creating customized advice based on new incoming data.Financial services companies can see how technology can improve operations, reduce costs and improve customer satisfaction.Use artificial intelligence (AI) and advanced analytics to reshape the company's image, from internal operations to customer experience to financial services and payments.
The global market for Artificial Intelligence in Finance was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with 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$432.8 billion in 2022, a year-on-year increase of 19.43%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Finance, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Finance by region & country, by Type, and by Application.
The Artificial Intelligence in Finance market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 in Finance.
Market Segmentation
By Company
AlphaSense
Artificial Solutions
Boosted.ai
Behavioral Signals
Clinc
DataRobot
Interactions
Kavout
LenddoEFL
Personetics
Symphony Ayasdi
Underwrite.ai
Zest AI
Kokopelli Inc
Scienaptic Systems Inc
Kasisto
Segment by Type:
Hardware
Software
Services
Segment by Application
Finance
Investment
Insurance
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in Finance manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial Intelligence in Finance in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in Finance in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Artificial Intelligence in Finance Product Introduction
1.2 Global Artificial Intelligence in Finance Market Size Forecast
1.3 Artificial Intelligence in Finance Market Trends & Drivers
1.3.1 Artificial Intelligence in Finance Industry Trends
1.3.2 Artificial Intelligence in Finance Market Drivers & Opportunity
1.3.3 Artificial Intelligence in Finance Market Challenges
1.3.4 Artificial Intelligence in Finance Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Finance Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in Finance Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in Finance Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Finance Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Finance
2.6 Artificial Intelligence in Finance Market Competitive Analysis
2.6.1 Artificial Intelligence in Finance Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Finance Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Finance as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Services
3.2 Global Artificial Intelligence in Finance Sales Value by Type
3.2.1 Global Artificial Intelligence in Finance Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in Finance Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in Finance Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Finance
4.1.2 Investment
4.1.3 Insurance
4.1.4 Others
4.2 Global Artificial Intelligence in Finance Sales Value by Application
4.2.1 Global Artificial Intelligence in Finance Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in Finance Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in Finance Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in Finance Sales Value by Region
5.1.1 Global Artificial Intelligence in Finance Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in Finance Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in Finance Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in Finance Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in Finance Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in Finance Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in Finance Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in Finance Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Finance Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in Finance Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in Finance Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in Finance Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Finance Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in Finance Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Finance Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in Finance Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in Finance Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in Finance Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in Finance Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in Finance Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Finance Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Finance Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in Finance Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in Finance Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in Finance Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 AlphaSense
7.1.1 AlphaSense Profile
7.1.2 AlphaSense Main Business
7.1.3 AlphaSense Artificial Intelligence in Finance Products, Services and Solutions
7.1.4 AlphaSense Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.1.5 AlphaSense Recent Developments
7.2 Artificial Solutions
7.2.1 Artificial Solutions Profile
7.2.2 Artificial Solutions Main Business
7.2.3 Artificial Solutions Artificial Intelligence in Finance Products, Services and Solutions
7.2.4 Artificial Solutions Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.2.5 Artificial Solutions Recent Developments
7.3 Boosted.ai
7.3.1 Boosted.ai Profile
7.3.2 Boosted.ai Main Business
7.3.3 Boosted.ai Artificial Intelligence in Finance Products, Services and Solutions
7.3.4 Boosted.ai Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.3.5 Behavioral Signals Recent Developments
7.4 Behavioral Signals
7.4.1 Behavioral Signals Profile
7.4.2 Behavioral Signals Main Business
7.4.3 Behavioral Signals Artificial Intelligence in Finance Products, Services and Solutions
7.4.4 Behavioral Signals Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.4.5 Behavioral Signals Recent Developments
7.5 Clinc
7.5.1 Clinc Profile
7.5.2 Clinc Main Business
7.5.3 Clinc Artificial Intelligence in Finance Products, Services and Solutions
7.5.4 Clinc Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.5.5 Clinc Recent Developments
7.6 DataRobot
7.6.1 DataRobot Profile
7.6.2 DataRobot Main Business
7.6.3 DataRobot Artificial Intelligence in Finance Products, Services and Solutions
7.6.4 DataRobot Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.6.5 DataRobot Recent Developments
7.7 Interactions
7.7.1 Interactions Profile
7.7.2 Interactions Main Business
7.7.3 Interactions Artificial Intelligence in Finance Products, Services and Solutions
7.7.4 Interactions Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.7.5 Interactions Recent Developments
7.8 Kavout
7.8.1 Kavout Profile
7.8.2 Kavout Main Business
7.8.3 Kavout Artificial Intelligence in Finance Products, Services and Solutions
7.8.4 Kavout Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.8.5 Kavout Recent Developments
7.9 LenddoEFL
7.9.1 LenddoEFL Profile
7.9.2 LenddoEFL Main Business
7.9.3 LenddoEFL Artificial Intelligence in Finance Products, Services and Solutions
7.9.4 LenddoEFL Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.9.5 LenddoEFL Recent Developments
7.10 Personetics
7.10.1 Personetics Profile
7.10.2 Personetics Main Business
7.10.3 Personetics Artificial Intelligence in Finance Products, Services and Solutions
7.10.4 Personetics Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.10.5 Personetics Recent Developments
7.11 Symphony Ayasdi
7.11.1 Symphony Ayasdi Profile
7.11.2 Symphony Ayasdi Main Business
7.11.3 Symphony Ayasdi Artificial Intelligence in Finance Products, Services and Solutions
7.11.4 Symphony Ayasdi Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.11.5 Symphony Ayasdi Recent Developments
7.12 Underwrite.ai
7.12.1 Underwrite.ai Profile
7.12.2 Underwrite.ai Main Business
7.12.3 Underwrite.ai Artificial Intelligence in Finance Products, Services and Solutions
7.12.4 Underwrite.ai Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.12.5 Underwrite.ai Recent Developments
7.13 Zest AI
7.13.1 Zest AI Profile
7.13.2 Zest AI Main Business
7.13.3 Zest AI Artificial Intelligence in Finance Products, Services and Solutions
7.13.4 Zest AI Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.13.5 Zest AI Recent Developments
7.14 Kokopelli Inc
7.14.1 Kokopelli Inc Profile
7.14.2 Kokopelli Inc Main Business
7.14.3 Kokopelli Inc Artificial Intelligence in Finance Products, Services and Solutions
7.14.4 Kokopelli Inc Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.14.5 Kokopelli Inc Recent Developments
7.15 Scienaptic Systems Inc
7.15.1 Scienaptic Systems Inc Profile
7.15.2 Scienaptic Systems Inc Main Business
7.15.3 Scienaptic Systems Inc Artificial Intelligence in Finance Products, Services and Solutions
7.15.4 Scienaptic Systems Inc Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.15.5 Scienaptic Systems Inc Recent Developments
7.16 Kasisto
7.16.1 Kasisto Profile
7.16.2 Kasisto Main Business
7.16.3 Kasisto Artificial Intelligence in Finance Products, Services and Solutions
7.16.4 Kasisto Artificial Intelligence in Finance Revenue (US$ Million) & (2019-2024)
7.16.5 Kasisto Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in Finance Industrial Chain
8.2 Artificial Intelligence in Finance Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in Finance Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Finance Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
AlphaSense
Artificial Solutions
Boosted.ai
Behavioral Signals
Clinc
DataRobot
Interactions
Kavout
LenddoEFL
Personetics
Symphony Ayasdi
Underwrite.ai
Zest AI
Kokopelli Inc
Scienaptic Systems Inc
Kasisto
Ìý
Ìý
*If Applicable.
