The Artificial Intelligence in Fintech Market Report provides a comprehensive and in-depth analysis of the market landscape. It covers market size, growth trajectory, and key applications, while also providing a detailed assessment of the competitive environment. The report analyzes key market players, their product offerings, and their go-to-market strategies.

This report explores how the market is being shaped by various factors across industries, identifying both existing and emerging use cases. It segments the market by component, application, and geography, highlighting areas with the most significant growth potential. The report also addresses the key challenges and regulatory hurdles affecting market adoption, providing a balanced and realistic outlook for stakeholders.

Data Bridge Market Research analyses that the artificial intelligence in fintech market value, which was USD 13.14 billion in 2021, is expected to reach the value of USD 765.34 billion by 2029, at a CAGR of 66.20% during the forecast period. “Cloud" accounts for the largest deployment mode segment in the artificial intelligence in fintech market owing to the growing number of small and medium scale enterprises.

Get a comprehensive analysis and future outlook for the Artificial Intelligence in Fintech. Uncover all the data, analysis, and strategic recommendations in the complete report: https://www.databridgemarketresearch.com/reports/global-ai-in-fintech-market

Fintech or financial technology is the incorporation of advanced technologies such as artificial intelligence with the financial services which helps to protect against fraudulent activities. The role of artificial intelligence in fintech is to facilitate the operation of robo-advisors to provide financial planning services.  

Global Artificial Intelligence in Fintech Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers:

• Growth in investment for research and development to carve way for innovations

The rising number of strategic market collaborations has led to the rise in funds to be allocated for the growth and development of advanced and automated technology/ machinery against fraudulent activities. Further, growth in the level of investment for research and development proficiencies would carve the way for innovations in information technology. Rising integration of artificial intelligence and machine learning technologies will further prove to be a boon for the market.      

• Increased number of industries globally to induce greater demand and supply in emerging nations  

Growing number of small and medium scale enterprises all around the globe is one of the major factors fostering the growth of the market. In other words, increased number of banking, financial services, and insurance (BFSI), education, energy and utilities, government and public sector, healthcare and life sciences, manufacturing, retail and e-commerce, telecommunication, and IT industries, is directly influencing the growth rate of the market.

• Growing number of cyber-attacks to present numerous opportunities for small scale businesses

Owing to the global economic rise, there is a huge scope of growth for the information and communication technology industry. However, with the rising volume of organizational data, there is a rise in the number of cyber-criminal activities. This could hamper an organizations goodwill and manipulate the records. This will further create a good scope of growth.    

Recent Developments

• In April 2020,Fenergo, the provider of digital transformation, customer journey, and client lifecycle management (CLM) solutions for financial institutions, and IBM signed an original equipment manufacturing (OEM) agreement that may allow companies to collaborate on solutions that can help clients address the multitude of financial risks they face.?
• In May 2020,Sentifi AG announced the expanded alternative data-based analytics to surface investment opportunities and manage risks. Sentifi’s new analytics solution includes detection of the sector, industry outliers, ESG events with potential asset valuation impact, and investment themes trending real-time while offering investors the ability to detect outliers within their portfolios.

Global Artificial Intelligence in Fintech Market Scope

The artificial intelligence in fintech market is segmented on the basis of component, deployment mode and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Solutions
• Services

On the basis of components, artificial intelligence in fintech market is segmented into solutions and services. On the basis of solutions, the market is further segmented into software tools and platforms. On the basis of service, the market is further segmented into managed and professional. 

Deployment mode

• Cloud
• On-Premises

Based on deployment mode, artificial intelligence in fintech market has been segmented into cloud and on-premises.

Application

• Virtual Assistant
• Business Analytics and Reporting
• Customer Behavioural Analytics
• Others

On the basis of application, artificial intelligence in fintech market has been segmented into virtual assistant, business analytics and reporting, customer behavioural analytics and others.

Some of the major players operating in the artificial intelligence in fintech market are:

• BigML, Inc. (US)
• Cisco Systems, Inc. (US)
• FICO (US)
• Hewlett Packard Enterprise Development LP (US)
• RapidMiner, Inc. (US)
• SAP SE (Germany)
• SAS Institute Inc. (US)
• Microsoft (US)
• Google, LLC (US)
• Salesforce.com Inc. (US)
• IBM (US)
• Intel Corporation (US)
• Amazon Web Services, Inc. (US)
• Inbenta Technologies (US)
• IPsoft (US)
• Nuance Communications (US)
• ComplyAdvantage (UK)  

Report Contents

Introduction: Report Objectives and Methodology

Industry Overview & Market Dynamics

Market Segmentation & Sizing

Competitive Landscape & Player Analysis

Market Opportunities & Strategic Recommendations

Regional Market Insights

Future Outlook & Conclusion

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