Global Applied AI in Finance 麻豆原创 Research Report 2024

Publication ID:

PB508246906

Publication Date:

August 5, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Applied artificial intelligence (AI) in finance uses AI and machine learning technologies to solve real-world business problems in the financial industry. For example, AI can be used to automate tasks like processing loans and insurance claims, which can help to reduce costs and improve efficiency. AI can also be used to analyze large amounts of customer data to identify patterns and make predictions, which can help to improve risk management and customer service. Financial services AI involves the incorporation of AI technologies and algorithms in different financial operations to automate tasks, analyze data, make predictions, and offer valuable insights. AI-driven finance, on the other hand, refers to the integration of AI technologies in financial systems, allowing organizations to streamline operations like risk assessment, fraud detection, customer service, and investment management. These AI solutions utilize machine learning, natural language processing, and predictive analytics to process large amounts of data and identify patterns, trends, and anomalies in real-time. Investment AI solutions are revolutionizing the investment landscape by equipping investors with advanced tools to make data-driven decisions.
The global Applied AI in Finance market was valued at US$ 8110 million in 2023 and is anticipated to reach US$ 26500 million by 2030, witnessing a CAGR of 18.0% during the forecast period 2024-2030.
Artificial intelligence has streamlined programs and procedures, automated routine tasks, improved the customer service experience and helped businesses with their bottom line. In fact, Business Insider predicts that artificial intelligence applications will save banks and financial institutions $447 billion by 2023. The majority of banks (80%) understand the potential benefits of AI, but now it鈥檚 more important than ever with the widespread impact of COVID-19, which has affected the finance industry and pushed more people to embrace the digital experience. Artificial intelligence can free up personnel, improve security measures and ensure that the business is moving in the right technology-advanced, innovative direction. According to Forbes, 70% of financial firms are using machine learning to predict cash flow events, adjust credit scores and detect fraud.
This report aims to provide a comprehensive presentation of the global market for Applied AI in Finance, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Applied AI in Finance.
The Applied AI in Finance market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Applied AI 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 Applied AI in Finance 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.
麻豆原创 Segmentation
By Company
Anthropic PBC
BlackRock, Inc.
The Charles Schwab Corporation
Citigroup Inc.
Credit Suisse Group AG
Goldman Sachs Group, Inc.
HSBC Holdings plc
JPMorgan Chase & Co.
Morgan Stanley
Nasdaq, Inc.
Segment by Type
On-premises
Cloud
Segment by Application
Virtual Assistants (Chatbots)
Business Analytics and Reporting
Customer Behavioral Analytics
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Applied AI in Finance company 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 Applied AI in Finance 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premises
1.2.3 Cloud
1.3 麻豆原创 by Application
1.3.1 Global Applied AI in Finance 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Virtual Assistants (Chatbots)
1.3.3 Business Analytics and Reporting
1.3.4 Customer Behavioral Analytics
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Applied AI in Finance 麻豆原创 Perspective (2019-2030)
2.2 Global Applied AI in Finance Growth Trends by Region
2.2.1 Global Applied AI in Finance 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Applied AI in Finance Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Applied AI in Finance Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Applied AI in Finance 麻豆原创 Dynamics
2.3.1 Applied AI in Finance Industry Trends
2.3.2 Applied AI in Finance 麻豆原创 Drivers
2.3.3 Applied AI in Finance 麻豆原创 Challenges
2.3.4 Applied AI in Finance 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Applied AI in Finance Players by Revenue
3.1.1 Global Top Applied AI in Finance Players by Revenue (2019-2024)
3.1.2 Global Applied AI in Finance Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Applied AI in Finance 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Applied AI in Finance Revenue
3.4 Global Applied AI in Finance 麻豆原创 Concentration Ratio
3.4.1 Global Applied AI in Finance 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Applied AI in Finance Revenue in 2023
3.5 Global Key Players of Applied AI in Finance Head office and Area Served
3.6 Global Key Players of Applied AI in Finance, Product and Application
3.7 Global Key Players of Applied AI in Finance, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Applied AI in Finance Breakdown Data by Type
4.1 Global Applied AI in Finance Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Applied AI in Finance Forecasted 麻豆原创 Size by Type (2025-2030)
5 Applied AI in Finance Breakdown Data by Application
5.1 Global Applied AI in Finance Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Applied AI in Finance Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Applied AI in Finance 麻豆原创 Size (2019-2030)
6.2 North America Applied AI in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Applied AI in Finance 麻豆原创 Size by Country (2019-2024)
6.4 North America Applied AI in Finance 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Applied AI in Finance 麻豆原创 Size (2019-2030)
7.2 Europe Applied AI in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Applied AI in Finance 麻豆原创 Size by Country (2019-2024)
7.4 Europe Applied AI 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 Applied AI in Finance 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Applied AI in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Applied AI in Finance 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Applied AI 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 Applied AI in Finance 麻豆原创 Size (2019-2030)
9.2 Latin America Applied AI in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Applied AI in Finance 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Applied AI 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 Applied AI in Finance 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Applied AI in Finance 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Applied AI in Finance 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Applied AI 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 Anthropic PBC
11.1.1 Anthropic PBC Company Details
11.1.2 Anthropic PBC Business Overview
11.1.3 Anthropic PBC Applied AI in Finance Introduction
11.1.4 Anthropic PBC Revenue in Applied AI in Finance Business (2019-2024)
11.1.5 Anthropic PBC Recent Development
11.2 BlackRock, Inc.
11.2.1 BlackRock, Inc. Company Details
11.2.2 BlackRock, Inc. Business Overview
11.2.3 BlackRock, Inc. Applied AI in Finance Introduction
11.2.4 BlackRock, Inc. Revenue in Applied AI in Finance Business (2019-2024)
11.2.5 BlackRock, Inc. Recent Development
11.3 The Charles Schwab Corporation
11.3.1 The Charles Schwab Corporation Company Details
11.3.2 The Charles Schwab Corporation Business Overview
11.3.3 The Charles Schwab Corporation Applied AI in Finance Introduction
11.3.4 The Charles Schwab Corporation Revenue in Applied AI in Finance Business (2019-2024)
11.3.5 The Charles Schwab Corporation Recent Development
11.4 Citigroup Inc.
11.4.1 Citigroup Inc. Company Details
11.4.2 Citigroup Inc. Business Overview
11.4.3 Citigroup Inc. Applied AI in Finance Introduction
11.4.4 Citigroup Inc. Revenue in Applied AI in Finance Business (2019-2024)
11.4.5 Citigroup Inc. Recent Development
11.5 Credit Suisse Group AG
11.5.1 Credit Suisse Group AG Company Details
11.5.2 Credit Suisse Group AG Business Overview
11.5.3 Credit Suisse Group AG Applied AI in Finance Introduction
11.5.4 Credit Suisse Group AG Revenue in Applied AI in Finance Business (2019-2024)
11.5.5 Credit Suisse Group AG Recent Development
11.6 Goldman Sachs Group, Inc.
11.6.1 Goldman Sachs Group, Inc. Company Details
11.6.2 Goldman Sachs Group, Inc. Business Overview
11.6.3 Goldman Sachs Group, Inc. Applied AI in Finance Introduction
11.6.4 Goldman Sachs Group, Inc. Revenue in Applied AI in Finance Business (2019-2024)
11.6.5 Goldman Sachs Group, Inc. Recent Development
11.7 HSBC Holdings plc
11.7.1 HSBC Holdings plc Company Details
11.7.2 HSBC Holdings plc Business Overview
11.7.3 HSBC Holdings plc Applied AI in Finance Introduction
11.7.4 HSBC Holdings plc Revenue in Applied AI in Finance Business (2019-2024)
11.7.5 HSBC Holdings plc Recent Development
11.8 JPMorgan Chase & Co.
11.8.1 JPMorgan Chase & Co. Company Details
11.8.2 JPMorgan Chase & Co. Business Overview
11.8.3 JPMorgan Chase & Co. Applied AI in Finance Introduction
11.8.4 JPMorgan Chase & Co. Revenue in Applied AI in Finance Business (2019-2024)
11.8.5 JPMorgan Chase & Co. Recent Development
11.9 Morgan Stanley
11.9.1 Morgan Stanley Company Details
11.9.2 Morgan Stanley Business Overview
11.9.3 Morgan Stanley Applied AI in Finance Introduction
11.9.4 Morgan Stanley Revenue in Applied AI in Finance Business (2019-2024)
11.9.5 Morgan Stanley Recent Development
11.10 Nasdaq, Inc.
11.10.1 Nasdaq, Inc. Company Details
11.10.2 Nasdaq, Inc. Business Overview
11.10.3 Nasdaq, Inc. Applied AI in Finance Introduction
11.10.4 Nasdaq, Inc. Revenue in Applied AI in Finance Business (2019-2024)
11.10.5 Nasdaq, Inc. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Anthropic PBC
BlackRock, Inc.
The Charles Schwab Corporation
Citigroup Inc.
Credit Suisse Group AG
Goldman Sachs Group, Inc.
HSBC Holdings plc
JPMorgan Chase & Co.
Morgan Stanley
Nasdaq, Inc.

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