Global AI in Fintech Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global AI in Fintech Market 2024 by Company, Regions, Type and Application, Forecast to 2030

According to our (Global Info Research) latest study, the global AI in Fintech market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.

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 19.6%, including software, hardware and services.

The Global Info Research report includes an overview of the development of the AI in Fintech industry chain, the market status of Banking (Machine Learning, Computer Vision), Insurance (Machine Learning, Computer Vision), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in Fintech.

Regionally, the report analyzes the AI in Fintech markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in Fintech market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the AI in Fintech market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in Fintech industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Machine Learning, Computer Vision).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in Fintech market.

Regional Analysis: The report involves examining the AI in Fintech market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in Fintech market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to AI in Fintech:

Company Analysis: Report covers individual AI in Fintech players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in Fintech This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Banking, Insurance).

Technology Analysis: Report covers specific technologies relevant to AI in Fintech. It assesses the current state, advancements, and potential future developments in AI in Fintech areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI in Fintech market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

Market Segmentation

AI in Fintech market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Market segment by Type
Machine Learning
Computer Vision
Smart Voice and Conversational AI
Others

Market segment by Application
Banking
Insurance
Securities
Others

Market segment by players, this report covers
Microsoft
IBM
Intel
Google
Amazon Web Services
Meta
NVIDIA
Salesforce
Amelia
Nuance Communications
ComplyAdvantage
Baidu
Alibaba Cloud
Huawei

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe AI in Fintech product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of AI in Fintech, with revenue, gross margin and global market share of AI in Fintech from 2019 to 2024.

Chapter 3, the AI in Fintech competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI in Fintech market forecast, by regions, type and application, with consumption value, from 2025 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Fintech.

Chapter 13, to describe AI in Fintech research findings and conclusion.