Global Applied AI in Finance Market Growth (Status and Outlook) 2024-2030

Global Applied AI in Finance Market Growth (Status and Outlook) 2024-2030

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 size is projected to grow from US$ 9626 million in 2024 to US$ 26820 million in 2030; it is expected to grow at a CAGR of 18.6% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Applied AI in Finance Industry Forecast” looks at past sales and reviews total world Applied AI in Finance sales in 2022, providing a comprehensive analysis by region and market sector of projected Applied AI in Finance sales for 2023 through 2029. With Applied AI in Finance sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Applied AI in Finance industry.

This Insight Report provides a comprehensive analysis of the global Applied AI in Finance landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Applied AI in Finance portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Applied AI in Finance market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Applied AI in Finance and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Applied AI in Finance.

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.

This report presents a comprehensive overview, market shares, and growth opportunities of Applied AI in Finance market by product type, application, key players and key regions and countries.

Segmentation by Type:
On-premises
Cloud

Segmentation by Application:
Virtual Assistants (Chatbots)
Business Analytics and Reporting
Customer Behavioral Analytics
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

Segmentation by Type:
On-premises
Cloud

Segmentation by Application:
Virtual Assistants (Chatbots)
Business Analytics and Reporting
Customer Behavioral Analytics
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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.

Please note: The report will take approximately 2 business days to prepare and deliver.