Global Artificial Intelligence in Finance 麻豆原创 Research Report 2024

Publication ID:

PB506242234

Publication Date:

June 11, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

In the听finance听industry,听AI can听be听used听to examine cash accounts, credit accounts, and investment accounts to look at a person's overall听financial听health, 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 Artificial Intelligence in Finance 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 鈧�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$432.8 billion in 2022, a year-on-year increase of 19.43%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Finance, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Finance.
Report Scope
The Artificial Intelligence in Finance market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence in Finance 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 in Finance 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.
麻豆原创 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
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
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 Artificial Intelligence in Finance 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 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.

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 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence in Finance 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence in Finance 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Finance
1.3.3 Investment
1.3.4 Insurance
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Finance 麻豆原创 Perspective (2019-2030)
2.2 Artificial Intelligence in Finance Growth Trends by Region
2.2.1 Global Artificial Intelligence in Finance 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in Finance Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence in Finance Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence in Finance 麻豆原创 Dynamics
2.3.1 Artificial Intelligence in Finance Industry Trends
2.3.2 Artificial Intelligence in Finance 麻豆原创 Drivers
2.3.3 Artificial Intelligence in Finance 麻豆原创 Challenges
2.3.4 Artificial Intelligence in Finance 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in Finance Players by Revenue
3.1.1 Global Top Artificial Intelligence in Finance Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence in Finance Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence in Finance 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in Finance Revenue
3.4 Global Artificial Intelligence in Finance 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence in Finance 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Finance Revenue in 2023
3.5 Artificial Intelligence in Finance Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Finance Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Finance 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Finance Breakdown Data by Type
4.1 Global Artificial Intelligence in Finance Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence in Finance Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence in Finance Breakdown Data by Application
5.1 Global Artificial Intelligence in Finance Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence in Finance Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Finance 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in Finance 麻豆原创 Size by Country (2019-2024)
6.4 North America Artificial Intelligence in Finance 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Finance 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in Finance 麻豆原创 Size by Country (2019-2024)
7.4 Europe Artificial Intelligence in Finance 麻豆原创 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 Artificial Intelligence in Finance 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in Finance 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in Finance 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence in Finance 麻豆原创 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 Artificial Intelligence in Finance 麻豆原创 Size (2019-2030)
9.2 Latin America Artificial Intelligence in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in Finance 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in Finance 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Finance 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in Finance 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in Finance 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AlphaSense
11.1.1 AlphaSense Company Detail
11.1.2 AlphaSense Business Overview
11.1.3 AlphaSense Artificial Intelligence in Finance Introduction
11.1.4 AlphaSense Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.1.5 AlphaSense Recent Development
11.2 Artificial Solutions
11.2.1 Artificial Solutions Company Detail
11.2.2 Artificial Solutions Business Overview
11.2.3 Artificial Solutions Artificial Intelligence in Finance Introduction
11.2.4 Artificial Solutions Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.2.5 Artificial Solutions Recent Development
11.3 Boosted.ai
11.3.1 Boosted.ai Company Detail
11.3.2 Boosted.ai Business Overview
11.3.3 Boosted.ai Artificial Intelligence in Finance Introduction
11.3.4 Boosted.ai Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.3.5 Boosted.ai Recent Development
11.4 Behavioral Signals
11.4.1 Behavioral Signals Company Detail
11.4.2 Behavioral Signals Business Overview
11.4.3 Behavioral Signals Artificial Intelligence in Finance Introduction
11.4.4 Behavioral Signals Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.4.5 Behavioral Signals Recent Development
11.5 Clinc
11.5.1 Clinc Company Detail
11.5.2 Clinc Business Overview
11.5.3 Clinc Artificial Intelligence in Finance Introduction
11.5.4 Clinc Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.5.5 Clinc Recent Development
11.6 DataRobot
11.6.1 DataRobot Company Detail
11.6.2 DataRobot Business Overview
11.6.3 DataRobot Artificial Intelligence in Finance Introduction
11.6.4 DataRobot Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.6.5 DataRobot Recent Development
11.7 Interactions
11.7.1 Interactions Company Detail
11.7.2 Interactions Business Overview
11.7.3 Interactions Artificial Intelligence in Finance Introduction
11.7.4 Interactions Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.7.5 Interactions Recent Development
11.8 Kavout
11.8.1 Kavout Company Detail
11.8.2 Kavout Business Overview
11.8.3 Kavout Artificial Intelligence in Finance Introduction
11.8.4 Kavout Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.8.5 Kavout Recent Development
11.9 LenddoEFL
11.9.1 LenddoEFL Company Detail
11.9.2 LenddoEFL Business Overview
11.9.3 LenddoEFL Artificial Intelligence in Finance Introduction
11.9.4 LenddoEFL Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.9.5 LenddoEFL Recent Development
11.10 Personetics
11.10.1 Personetics Company Detail
11.10.2 Personetics Business Overview
11.10.3 Personetics Artificial Intelligence in Finance Introduction
11.10.4 Personetics Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.10.5 Personetics Recent Development
11.11 Symphony Ayasdi
11.11.1 Symphony Ayasdi Company Detail
11.11.2 Symphony Ayasdi Business Overview
11.11.3 Symphony Ayasdi Artificial Intelligence in Finance Introduction
11.11.4 Symphony Ayasdi Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.11.5 Symphony Ayasdi Recent Development
11.12 Underwrite.ai
11.12.1 Underwrite.ai Company Detail
11.12.2 Underwrite.ai Business Overview
11.12.3 Underwrite.ai Artificial Intelligence in Finance Introduction
11.12.4 Underwrite.ai Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.12.5 Underwrite.ai Recent Development
11.13 Zest AI
11.13.1 Zest AI Company Detail
11.13.2 Zest AI Business Overview
11.13.3 Zest AI Artificial Intelligence in Finance Introduction
11.13.4 Zest AI Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.13.5 Zest AI Recent Development
11.14 Kokopelli Inc
11.14.1 Kokopelli Inc Company Detail
11.14.2 Kokopelli Inc Business Overview
11.14.3 Kokopelli Inc Artificial Intelligence in Finance Introduction
11.14.4 Kokopelli Inc Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.14.5 Kokopelli Inc Recent Development
11.15 Scienaptic Systems Inc
11.15.1 Scienaptic Systems Inc Company Detail
11.15.2 Scienaptic Systems Inc Business Overview
11.15.3 Scienaptic Systems Inc Artificial Intelligence in Finance Introduction
11.15.4 Scienaptic Systems Inc Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.15.5 Scienaptic Systems Inc Recent Development
11.16 Kasisto
11.16.1 Kasisto Company Detail
11.16.2 Kasisto Business Overview
11.16.3 Kasisto Artificial Intelligence in Finance Introduction
11.16.4 Kasisto Revenue in Artificial Intelligence in Finance Business (2019-2024)
11.16.5 Kasisto 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:

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

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