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Pulished Date February, 2020
ID: 9809
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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 2025

Pulished: February, 2020
ID: 9809
Pages: 150

Global AI in FinTech Market Size & Growth (2020 – 2025)

The global AI in Fintech market is determined to progress from $ 5.3 billion in 2019 to $ 13.6 million in 2025, at a stunning compound annual growth rate (CAGR) of 40.4% 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 segmentation:

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.

Based on the deployment model, 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 (2019-2024)   

                                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 (2019-2024)   

                                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 (2019-2024)   

                                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 (2018 - 2024)                            

                                7.2.1 By Country              

                                                7.2.1.1 USA

                                                7.2.1.2 Canada

                                7.2.2 By Component      

                                7.2.3 By Application        

                                7.2.4 By Deployment Mode        

                7.3 Europe                         

                                7.3.1 By Country              

                                                7.3.1.1 UK

                                                7.3.1.2 France

                                                7.3.1.3 Germany

                                                7.3.1.4 Spain

                                                7.3.1.5 Italy

                                                7.3.1.6 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              

                                                7.4.1.1 China

                                                7.4.1.2 India

                                                7.4.1.3 Japan

                                                7.4.1.4 South Korea

                                                7.4.1.5 South East Asia

                                                7.4.1.6 Australia & NZ

                                                7.4.1.7 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              

                                                7.5.1.1 Brazil

                                                7.5.1.2 Argentina

                                                7.5.1.3 Mexico

                                                7.5.1.4 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              

                                                7.6.1.1 Middle East

                                                7.6.1.2 Africa

                                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                                

Appendix                                           

                List of Tables                     

                List of Figures                   

  • Global, regional and country-level analysis and forecasts of the study market; providing Insights on the major countries/regions in which this industry is blooming and to also identify the regions that are still untapped
  • Segment-level analysis in terms of Component, Application Area, Deployment Mode along with market size forecasts and estimations to detect key areas of industry growth in detail
  • Identification of key drivers, restraints, opportunities, and challenges (DROC) in the market and their impact on shifting market dynamics
  • Study of the effect of exogenous and endogenous factors that affect the global market; which includes broadly demographic, economics, and political, among other macro-environmental factors presented in an extensive PESTLE Analysis
  • Study the micro environment factors that determine the overall profitability of an Industry, using Porter’s five forces analysis for analysing the level of competition and business strategy development
  • A comprehensive list of key market players along with their product portfolio, current strategic interests, key financial information, legal issues, SWOT analysis and analyst overview to study and sustain the market environment
  • Competitive landscape analysis listing out the mergers, acquisitions, collaborations in the field along with new product launches, comparative financial studies and recent developments in the market by the major companies
  • An executive summary, abridging the entire report in such a way that decision-making personnel can rapidly become acquainted with background information, concise analysis and main conclusions
  • Expertly devised analyst overview along with Investment opportunities to provide both individuals and organizations a strong financial foothold in the market
  1. Global AI in FinTech Market By Region, From 2020-2025 ( USD Billion )
  2. Global AI in FinTech Market By Component, From 2020-2025 ( USD Billion )
  3. Global Solution Market By Region, From 2020-2025 ( USD Billion )
  4. Global Service Market By Region, From 2020-2025 ( USD Billion )
  5. Global AI in FinTech Market By Application, From 2020-2025 ( USD Billion )
  6. Global Virtual Assistant Market By Region, From 2020-2025 ( USD Billion )
  7. Global Business Analytics & Reporting Market By Region, From 2020-2025 ( USD Billion )
  8. Global Customer Behavioral Analytics Market By Region, From 2020-2025 ( USD Billion )
  9. Global AI in FinTech Market By Deployment Mode, From 2020-2025 ( USD Billion )
  10. Global On-Premises Market By Region, From 2020-2025 ( USD Billion )
  11. Global Cloud Market By Region, From 2020-2025 ( USD Billion )

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