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Global AI in FinTech Market Research Report - Segmentation By Component (Solution, Service), Application Area (Virtual Assistant, Business Analytics & Reporting, Customer Behavioral Analytics), Deployment Mode (Cloud, On-Premises), and Region - Forecast to 2027

Published: January, 2022
ID: 9809
Pages: 150

Global AI in FinTech Market Size & Growth (2021 – 2026)

The global AI in Fintech market is determined to progress from $6.7 billion in 2020 to $15.8 billion in 2026, at a stunning compound annual growth rate (CAGR) of 41.2% during the conjecture timeframe.

AI computers perform various functions like humans, such as learning, decision-making, planning, and speech recognition. In the financial technology sector, artificial intelligence plays a very important role. It reduces time, increases efficiency and also decreases the risk of error. AI is very useful for generating a large volume of reports. Market research includes type, which includes solutions and services with a type of implementation that provides assistance to applications such as chatbots, credit ratings, and others.

Financial companies were the first to adopt a social database and a centralized server PC, and the industry is one of the first integrators of counterfeit combinations in their daily activity to improve the customer experience and manage the development of a lot of information. Taking into account, the computerized reasoning improves the results because of the use of modern calculations and understanding of the behavior of the buyer.

Recent Developments:

  • April 2020: Fenergo, a renowned digital transformation provider, along with IBM Corporation signed an original equipment manufacturing (OEM) deal will enable both these companies to collaborate on solutions that can help offer customers with the multitude of financial risks in marketplace.
  • April 2020: Verient System INC, the parent company of Next IT Corporation, has reached an agreement to provide its new standard solution for fraud and corporate security investigations to the world's largest banking organizations. The Verient Systems AI platform will help banks detect fraud, cybersecurity and deployment management requirements.
  • In June 2019, Microsoft Corporation entered into collaboration with Deutsche Bank, a law firm specializing in financial services and technology. Microsoft Corporation has implemented novel AI Principles in Asia project mainly for offering assistance to the financial services sector.

Impact of Covid-19 on the global AI in Fintech Market:

The COVID-19 pandemic allows all organizations to offer work from home, increasing demand from the trendy financial service provider due to unstable market positioning. However, the lack of qualified consultants to deploy AI in Fintech is the main factor holding back the growth of global artificial intelligence (AI) in the Fintech market during the forecast period.

Market growth and trends:

Quantitative and wealth management is experiencing significant growth

Fintech has experienced a continuous evolution in the landscape of investment management. Adopting advanced technologies and solutions, including the use of big data, artificial intelligence and machine learning (ML) to help companies assess investment opportunities, optimize their investment portfolios and mitigate the associated risks, have been the subject of clinical adoption of the technology.

Investment advisory services, for example, are undergoing radical changes with the growth and evolution of automated wealth advisers. These advisers have the capacity to assist investors without the intervention of a human adviser, and can also be used in combination with a human adviser. It increases the ability to provide personalized and practical advice to investors with ease of access, at a partially lower cost.

In addition, in the area of financial record keeping, blockchain technology and distributed ledger is increasing AI adoption by creating new ways to record, track and store asset transactions. For example, Sentifi, a Swiss financial technology company founded in 2012, uses AI and ML to allow investors and other financial market stakeholders to access financial information available online from millions of people and organizations.

Besides, asset management companies are registering various advantages with the adoption of AI and ML technologies. These technologies can help provide actionable information in real time and facilitate portfolio management decisions. Artificial intelligence subsets can enable asset managers to streamline processes to streamline investment decisions and processes.

Market Drivers and Restraints:

The growing demand for process automation among financial organizations is stimulating the market. Process automation is among the main drivers of artificial intelligence in financial organizations. However, it is moving further towards the automation of cognitive processes, where AI systems can perform even more complex automation processes.

The Fintech space is one of the fastest growing industries worldwide due to the increasing penetration of Internet users. Users are rapidly switching to mobile devices for transactions or related actions due to the growing ease and growing Internet user base. Third-party apps have embedded in-app transaction systems in various areas like the Asia-Pacific. This will raise the bar for cyber-attacks and the potential for fraud with which the integration of artificial intelligence is expected to gain ground and drive market growth during the forecast period. The increasing number of frauds in this industry is mitigated by using artificial intelligence by collecting big data in which the machine learns the pattern and monitors user behavior and takes action or reports accordingly.




Market Size Available

2020 – 2026

Base Year


Forecast Period

2022 - 2027



Segments Covered

By Component, Application, Deployment Mode, and Region

Various Analyses Covered

Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities

Regions Covered

North America, Europe, APAC, Latin America, Middle East & Africa

Market Leaders Profiled

Microsoft (Washington, United States), Google (California, United States), Salesforce.com (California, United States), IBM (New York), United States), Intel (California, United States), Amazon Web Services (Washington, United States), Inbenta Technologies (California, United States), IPsoft (New York, United States), Nuance Communications (Massachusetts, United States), and ComplyAdvantage.com (New York, USA) and Others.


Market segmentation:

Global AI in FinTech Market - By Component:

  • Solution
  • Service

Global AI in FinTech Market - By Application:

Application-based business analytics and reporting is the leading segment in the global AI in financial technology market and is poised to grow at a rapid rate over the next five years as Consumer Behavior Analytics plays a crucial role.

Global AI in FinTech Market - By Deployment Mode:

the cloud segment is expected to experience the highest CAGR in the coming years, as it offers a wide range of solutions to meet AI in the global Fintech market.

Regional Analysis:

Regionally, North America has the largest share in the global AI in financial technology market. The lead of North America in this business is due to the significant R&D investments in developed countries like the United States and Canada. North America is considered the most competitive and rapidly developing market for artificial intelligence technology in the financial sector even in the foreseen years. Asia Pacific, among all regions, is likely to register the highest adoption of AI in Fintech solutions due to increasing implementation in most application areas.

Key players in the market:

The main players that offer AI solutions in Fintech market are Microsoft (Washington, United States), Google (California, United States), Salesforce.com (California, United States), IBM (New York), United States), Intel (California, United States), Amazon Web Services (Washington, United States), Inbenta Technologies (California, United States), IPsoft (New York, United States), Nuance Communications (Massachusetts, United States), and ComplyAdvantage.com (New York, USA).

1. Introduction                                 

                1.1 Market Definition                    

                1.2 Scope of the report                

                1.3 Study Assumptions                 

                1.4 Base Currency, Base Year and Forecast Periods                          

2. Research Methodology                                           

                2.1 Analysis Design                         

                2.2 Research Phases                      

                                2.2.1 Secondary Research           

                                2.2.2 Primary Research 

                                2.2.3 Data Modelling      

                                2.2.4 Expert Validation  

                2.3 Study Timeline                          

3. Report Overview                                        

                3.1 Executive Summary                

                3.2 Key Inferencees                       

4. Market Dynamics                                       

                4.1 Impact Analysis                         

                                4.1.1 Drivers      

                                4.1.2 Restaints  

                                4.1.3 Opportunities        

                4.2 Regulatory Environment                       

                4.3 Technology Timeline & Recent Trends                            

5. Competitor Benchmarking Analysis                                    

                5.1 Key Player Benchmarking                     

                                5.1.1 Market share analysis        

                                5.1.2 Products/Service  

                                5.1.3 Regional Presence               

                5.2 Mergers & Acquistion Landscape                      

                5.3 Joint Ventures & Collaborations                        

6. Market Segmentation                                              

                6.1 AI in FinTech Market, By Component                              

                                6.1.1 Solution    

                                6.1.2 Service      

                                6.1.3 Market Size Estimations & Forecasts (2022 - 2027)   

                                6.1.4 Y-o-Y Growth Rate Analysis             

                                6.1.5 Market Attractiveness Index          

                6.2 AI in FinTech Market, By Application                               

                                6.2.1 Virtual Assistant    

                                6.2.2 Business Analytics & Reporting      

                                6.2.3 Customer Behavioral Analytics       

                                6.2.4 Market Size Estimations & Forecasts (2022 - 2027)   

                                6.2.5 Y-o-Y Growth Rate Analysis             

                                6.2.6 Market Attractiveness Index          

                6.3 AI in FinTech Market, By Deployment Mode                               

                                6.3.1 On-Premises          

                                6.3.2 Cloud         

                                6.3.3 Market Size Estimations & Forecasts (2022 - 2027)   

                                6.3.4 Y-o-Y Growth Rate Analysis             

                                6.3.5 Market Attractiveness Index          

7. Geographical Landscape                                         

                7.1 Global Identity Governance and Administration Market, by Region                  

                7.2 North America - Market Analysis (2021 - 2027)                            

                                7.2.1 By Country              



                                7.2.2 By Component      

                                7.2.3 By Application        

                                7.2.4 By Deployment Mode        

                7.3 Europe                         

                                7.3.1 By Country              






                                       Rest of Europe

                                7.3.2 By Component      

                                7.3.3 By Application        

                                7.3.4 By Deployment Mode        

                7.4 Asia Pacific                  

                                7.4.1 By Country              




                                       South Korea

                                       South East Asia

                                       Australia & NZ

                                       Rest of Asia-Pacific

                                7.4.2 By Component      

                                7.4.3 By Application        

                                7.4.4 By Deployment Mode        

                7.5 Latin America                             

                                7.5.1 By Country              




                                       Rest of Latin America

                                7.5.2 By Component      

                                7.5.3 By Application        

                                7.5.4 By Deployment Mode        

                7.6 Middle East and Africa                           

                                7.6.1 By Country              

                                       Middle East


                                7.6.2 By Component      

                                7.6.3 By Application        

                                7.6.4 By Deployment Mode        

8. Key Player Analysis                                    

                8.1 Microsoft                    

                                8.1.1 Business Description           

                                8.1.2 Products/Service  

                                8.1.3 Financials 

                                8.1.4 SWOT Analysis       

                                8.1.5 Recent Developments       

                                8.1.6 Analyst Overview 

                8.2 Google                         

                8.3 IBM                

                8.4 Salesforce.com                         

                8.5 Intel Corp                    

                8.6 Amazon Web Services                           

                8.7 Ipsoft                            

                8.8 Inbenta Technologies                            

                8.9 Nuance Communications                     

                8.10 ComplyAdvantage.com                      

9. Market Outlook & Investment Opportunities                                


                List of Tables                     

                List of Figures                   

  1. Global AI in FinTech Market By Region, From 2022 - 2027 ( USD Billion )
  2. Global AI in FinTech Market By Component, From 2022 - 2027 ( USD Billion )
  3. Global Solution Market By Region, From 2022 - 2027 ( USD Billion )
  4. Global Service Market By Region, From 2022 - 2027 ( USD Billion )
  5. Global AI in FinTech Market By Application, From 2022 - 2027 ( USD Billion )
  6. Global Virtual Assistant Market By Region, From 2022 - 2027 ( USD Billion )
  7. Global Business Analytics & Reporting Market By Region, From 2022 - 2027 ( USD Billion )
  8. Global Customer Behavioral Analytics Market By Region, From 2022 - 2027 ( USD Billion )
  9. Global AI in FinTech Market By Deployment Mode, From 2022 - 2027 ( USD Billion )
  10. Global On-Premises Market By Region, From 2022 - 2027 ( USD Billion )
  11. Global Cloud Market By Region, From 2022 - 2027 ( USD Billion )

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