Industry: Service & Software
Published Date: 2024-07-28
Pages: 104 Pages
Report ld: 3260709
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Applied AI in Finance Market Size(US$)

CAGR 2024-2030
18%
Market Size,2030
USD 26,500
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
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 revenue was US$ 8110 million in 2023 and is forecast to a readjusted size of US$ 26500 million by 2030 with a CAGR of 18.0% during the review period (2024-2030).
In United States the Applied AI in Finance revenue is expected to grow from US$ million in 2023 to US$ million by 2030, at a CAGR of % during the forecast period (2024-2030).
This report focuses on global and United States Applied AI in Finance market, also covers the segmentation data of other regions in regional level and county level.
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’s 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.
Global Applied AI in Finance Scope and Market Size
Applied AI in Finance market is segmented in regional and country level, by players, by Type, and by Application. Players, stakeholders, and other participants in the global Applied AI in Finance market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2019-2030.
For United States market, this report focuses on the Applied AI in Finance market size by players, by Type, and by Application, for the period 2019-2030. The key players include the global and local players which play important roles in United States.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces Applied AI in Finance definition, global market size, United States market size, United States percentage in global market. 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 2: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 3: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 4: Detailed analysis of Applied AI in Finance companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Revenue of Applied AI in Finance in global and 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 of each country in the world.
Chapter 6: Americas by Type, by Application and by country, revenue for each segment.
Chapter 7: EMEA by Type, by Application and by region, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: APAC (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Applied AI in Finance revenue, gross margin, and recent development, etc.
Chapter 11: Analyst's Viewpoints/Conclusion
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 Applied AI in Finance Product Introduction
1.2 Global Applied AI in Finance Outlook, 2019 VS 2023 VS 2030
1.2.1 Global Applied AI in Finance Market Size for the Year 2019-2030
1.2.2 United States Applied AI in Finance Market Size for the Year 2019-2030
1.3 Applied AI in Finance Market Size, United States VS Global, 2019 VS 2023 VS 2030
1.3.1 The Market Share of United States Applied AI in Finance in Global, 2019 VS 2023 VS 2030
1.3.2 The Growth Rate of Applied AI in Finance Market Size, United States VS Global, 2019 VS 2023 VS 2030
1.4 Applied AI in Finance Market Dynamics
1.4.1 Applied AI in Finance Industry Trends
1.4.2 Applied AI in Finance Market Drivers
1.4.3 Applied AI in Finance Market Challenges
1.4.4 Applied AI in Finance Market Restraints
1.5 Assumptions and Limitations
1.6 Study Objectives
1.7 Years Considered
2 Applied AI in Finance by Type
2.1 Applied AI in Finance Market by Type
2.1.1 On-premises
2.1.2 Cloud
2.2 Global Applied AI in Finance Market Size by Type (2019, 2023 & 2030)
2.3 Global Applied AI in Finance Market Size by Type (2019-2030)
2.4 United States Applied AI in Finance Market Size by Type (2019, 2023 & 2030)
2.5 United States Applied AI in Finance Market Size by Type (2019-2030)
3 Applied AI in Finance by Application
3.1 Applied AI in Finance Market by Application
3.1.1 Virtual Assistants (Chatbots)
3.1.2 Business Analytics and Reporting
3.1.3 Customer Behavioral Analytics
3.1.4 Others
3.2 Global Applied AI in Finance Market Size, by Application (2019, 2023 & 2030)
3.3 Global Applied AI in Finance Market Size by Application (2019-2030)
3.4 United States Applied AI in Finance Market Size by Application (2019, 2023 & 2030)
3.5 United States Applied AI in Finance Market Size by Application (2019-2030)
4 Global Applied AI in Finance Competitor Landscape by Company
4.1 Global Applied AI in Finance Market Size by Company
4.1.1 Global Key Companies of Applied AI in Finance, Ranked by Revenue (2023)
4.1.2 Global Applied AI in Finance Revenue by Player (2019-2024)
4.2 Global Applied AI in Finance Concentration Ratio (CR)
4.2.1 Applied AI in Finance Market Concentration Ratio (CR) (2019-2024)
4.2.2 Global Top 5 and Top 10 Largest Companies of Applied AI in Finance in 2023
4.2.3 Global Applied AI in Finance Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.3 Global Key Players of Applied AI in Finance Head office and Area Served
4.4 Global Key Players of Applied AI in Finance, Product and Application
4.5 Global Key Players of Applied AI in Finance, Date of Enter into This Industry
4.6 Companies Mergers & Acquisitions, Expansion Plans
4.7 United States Applied AI in Finance Market Size by Company
4.7.1 Key Players of Applied AI in Finance in United States, Ranked by Revenue (2023)
4.7.2 United States Applied AI in Finance Revenue by Players (2022, 2023 & 2024)
5 Global Applied AI in Finance Market Size by Region
5.1 Global Applied AI in Finance Market Size by Region: 2019 VS 2023 VS 2030
5.2 Global Applied AI in Finance Market Size by Region (2019-2030)
5.2.1 Global Applied AI in Finance Market Size by Region: 2019-2024
5.2.2 Global Applied AI in Finance Market Size by Region: 2025-2030
6 Americas
6.1 Americas Applied AI in Finance Market Size YoY Growth 2019-2030
6.2 Americas Applied AI in Finance Market Size by Type
6.2.1 Americas Applied AI in Finance Market Size by Type (2019-2024)
6.2.2 Americas Applied AI in Finance Market Size by Type (2025-2030)
6.2.3 Americas Applied AI in Finance Market Share by Type (2019-2030)
6.3 Americas Applied AI in Finance Market Size by Application
6.3.1 Americas Applied AI in Finance Market Size by Application (2019-2024)
6.3.2 Americas Applied AI in Finance Market Size by Application (2025-2030)
6.3.3 Americas Applied AI in Finance Market Share by Application (2019-2030)
6.4 Americas Applied AI in Finance Market Facts & Figures by Country (2019, 2023 & 2030)
6.4.1 United States
6.4.2 Canada
6.4.3 Mexico
6.4.4 Brazil
7 EMEA
7.1 EMEA Applied AI in Finance Market Size YoY Growth 2019-2030
7.2 EMEA Applied AI in Finance Market Size by Type
7.2.1 EMEA Applied AI in Finance Market Size by Type (2019-2024)
7.2.2 EMEA Applied AI in Finance Market Size by Type (2025-2030)
7.2.3 EMEA Applied AI in Finance Market Share by Type (2019-2030)
7.3 EMEA Applied AI in Finance Market Size by Application
7.3.1 EMEA Applied AI in Finance Market Size by Application (2019-2024)
7.3.2 EMEA Applied AI in Finance Market Size by Application (2025-2030)
7.3.3 EMEA Applied AI in Finance Market Share by Application (2019-2030)
7.4 EMEA Applied AI in Finance Market Facts & Figures by Region (2019, 2023 & 2030)
7.4.1 Europe
7.4.2 Middle East
7.4.3 Africa
8 China
8.1 China Applied AI in Finance Market Size by Type
8.1.1 China Applied AI in Finance Market Size by Type (2019-2024)
8.1.2 China Applied AI in Finance Market Size by Type (2025-2030)
8.1.3 China Applied AI in Finance Market Share by Type (2019-2030)
8.2 China Applied AI in Finance Market Size by Application
8.2.1 China Applied AI in Finance Market Size by Application (2019-2024)
8.2.2 China Applied AI in Finance Market Size by Application (2025-2030)
8.2.3 China Applied AI in Finance Market Share by Application (2019-2030)
9 APAC (excluding China)
9.1 APAC Applied AI in Finance Market Size YoY Growth 2019-2030
9.2 APAC Applied AI in Finance Market Size by Type
9.2.1 APAC Applied AI in Finance Market Size by Type (2019-2024)
9.2.2 APAC Applied AI in Finance Market Size by Type (2025-2030)
9.2.3 APAC Applied AI in Finance Market Share by Type (2019-2030)
9.3 APAC Applied AI in Finance Market Size by Application
9.3.1 APAC Applied AI in Finance Market Size by Application (2019-2024)
9.3.2 APAC Applied AI in Finance Market Size by Application (2025-2030)
9.3.3 APAC Applied AI in Finance Market Share by Application (2019-2030)
9.4 APAC Applied AI in Finance Market Facts & Figures by Region (2019, 2023 & 2030)
9.4.1 Japan
9.4.2 South Korea
9.4.3 China Taiwan
9.4.4 ASEAN
9.4.5 India
10 Key Players Profiles
10.1 Anthropic PBC
10.1.1 Anthropic PBC Company Details
10.1.2 Anthropic PBC Business Overview
10.1.3 Anthropic PBC Applied AI in Finance Introduction
10.1.4 Anthropic PBC Revenue in Applied AI in Finance Business (2019-2024)
10.1.5 Anthropic PBC Recent Development
10.2 BlackRock, Inc.
10.2.1 BlackRock, Inc. Company Details
10.2.2 BlackRock, Inc. Business Overview
10.2.3 BlackRock, Inc. Applied AI in Finance Introduction
10.2.4 BlackRock, Inc. Revenue in Applied AI in Finance Business (2019-2024)
10.2.5 BlackRock, Inc. Recent Development
10.3 The Charles Schwab Corporation
10.3.1 The Charles Schwab Corporation Company Details
10.3.2 The Charles Schwab Corporation Business Overview
10.3.3 The Charles Schwab Corporation Applied AI in Finance Introduction
10.3.4 The Charles Schwab Corporation Revenue in Applied AI in Finance Business (2019-2024)
10.3.5 The Charles Schwab Corporation Recent Development
10.4 Citigroup Inc.
10.4.1 Citigroup Inc. Company Details
10.4.2 Citigroup Inc. Business Overview
10.4.3 Citigroup Inc. Applied AI in Finance Introduction
10.4.4 Citigroup Inc. Revenue in Applied AI in Finance Business (2019-2024)
10.4.5 Citigroup Inc. Recent Development
10.5 Credit Suisse Group AG
10.5.1 Credit Suisse Group AG Company Details
10.5.2 Credit Suisse Group AG Business Overview
10.5.3 Credit Suisse Group AG Applied AI in Finance Introduction
10.5.4 Credit Suisse Group AG Revenue in Applied AI in Finance Business (2019-2024)
10.5.5 Credit Suisse Group AG Recent Development
10.6 Goldman Sachs Group, Inc.
10.6.1 Goldman Sachs Group, Inc. Company Details
10.6.2 Goldman Sachs Group, Inc. Business Overview
10.6.3 Goldman Sachs Group, Inc. Applied AI in Finance Introduction
10.6.4 Goldman Sachs Group, Inc. Revenue in Applied AI in Finance Business (2019-2024)
10.6.5 Goldman Sachs Group, Inc. Recent Development
10.7 HSBC Holdings plc
10.7.1 HSBC Holdings plc Company Details
10.7.2 HSBC Holdings plc Business Overview
10.7.3 HSBC Holdings plc Applied AI in Finance Introduction
10.7.4 HSBC Holdings plc Revenue in Applied AI in Finance Business (2019-2024)
10.7.5 HSBC Holdings plc Recent Development
10.8 JPMorgan Chase & Co.
10.8.1 JPMorgan Chase & Co. Company Details
10.8.2 JPMorgan Chase & Co. Business Overview
10.8.3 JPMorgan Chase & Co. Applied AI in Finance Introduction
10.8.4 JPMorgan Chase & Co. Revenue in Applied AI in Finance Business (2019-2024)
10.8.5 JPMorgan Chase & Co. Recent Development
10.9 Morgan Stanley
10.9.1 Morgan Stanley Company Details
10.9.2 Morgan Stanley Business Overview
10.9.3 Morgan Stanley Applied AI in Finance Introduction
10.9.4 Morgan Stanley Revenue in Applied AI in Finance Business (2019-2024)
10.9.5 Morgan Stanley Recent Development
10.10 Nasdaq, Inc.
10.10.1 Nasdaq, Inc. Company Details
10.10.2 Nasdaq, Inc. Business Overview
10.10.3 Nasdaq, Inc. Applied AI in Finance Introduction
10.10.4 Nasdaq, Inc. Revenue in Applied AI in Finance Business (2019-2024)
10.10.5 Nasdaq, Inc. Recent Development
11 Research Findings and Conclusion
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.1.1 Research Programs/Design
12.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
12.1.2 Data Source
12.1.2.1 Secondary Sources
12.1.2.2 Primary Sources
12.2 Author Details
12.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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