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Global Artificial Intelligence (AI) in Fintech Market Research Report: Forecast (2023-2028)

By Components (Solution [Software Tools {Data Discovery, Data Quality and Data Governance, Data Visualization}, Platforms], Services [Managed Services, Professional Services]), By Deployment (Cloud, O... ... Deployment (Cloud, On-Premise), By Application (Business Analytics, Reporting Virtual Assistants (Chatbots), Fraud Detection, Others), By End User (Stock Trading Firms, Hedge Funds, Retail Banking, Investment Banking, Other), By Region (North America, South America, Europe, Asia-Pacific, Middle East & Africa), By Company (Google, IBM, Intel, Inbenta Technologies, Nuance Communications, Complyadvantage.Com, Salesforce.Com, Amazon Web Services, Samsung, Ipsoft, Next It Corp., Microsoft, Onfido, Active.Ai, TIBCO Software etc.) Read more

FinTech
Jul 2023
Pages 198
Report Format: PDF, Excel, PPT

Market Definition

Financial technology, or FinTech, involves the use of modern technologies in order to enhance or automate banking & investing activities. The world is witnessing an increasing adoption of Artificial intelligence (AI) services by financial institutions to detect & prevent fraudulent acts done by attackers through online banking channels. With this, more and more organizations operating in the domain are adopting AI-based fintech solutions to enable robust security of their assets and improve customer experiences.

Market Insights & Analysis: Global Artificial Intelligence (AI) in Fintech Market

The Global Artificial Intelligence (AI) in Fintech Market is expected to grow at a CAGR around 44% during the forecast period, i.e., 2023-28. The growth of the market is likely to be driven primarily by the rise in automation trends in banks & financial institutions and the growing emphasis of such enterprises on customer account safety against cybercrimes & online banking frauds.

Report Coverage	Details
Study Period	Historical Data: 2018-21
	Base Year: 2022
	Forecast Period: 2023-28
CAGR (2023-2028)	44%
Regions Covered	North America: The US, Canada, Mexico
	Europe: Germany, The UK, France, Spain, Italy, The Netherlands, Rest of Europe
	Asia-Pacific: China, India, Japan, South Korea, Australia, Rest of Asia-Pacific
	South America: Brazil, Argentina, Rest of South America
	Middle East & Africa: The UAE, Saudi Arabia, South Africa, Rest of MEA
Key Companies Profiled	Google, IBM, Intel, Inbenta Technologies, Nuance Communications, Complyadvantage.Com, Salesforce.Com, Amazon Web Services, Samsung, Ipsoft, Next It Corp., Microsoft, Onfido, Active.Ai, and TIBCO Software
Unit Denominations	USD Million/Billion

One of the most prominent growth drivers for the market is AI's ability to prevent frauds & cyberattacks, as customers prefer banks & financial institutions that offer secure banking experiences. Several companies operating in the industry are actively working on explicitly offering next-gen AI-based solutions, like AI Chatbots for bank applications. For instance:

In June 2021, Talisma Corporation Pvt. Ltd. ( a leading provider of customer service solutions) announced its partnership with Singapore-based Active Intelligence Pte Ltd. (Active.Ai) to enable improved customer experience in BFSI using conversation AI-enabled Chatbot. The partnership aimed to strengthen Talisma's technology products & solutions for integrating a state-of-the-art conversational AI chatbot into its platform and offering it to its BFSI customers.

AI has benefited several banks & fintech firms in the fast processing of a large amount of customer data, i.e., then compared in order to indicate results about the timely services/products required by customers. Moreover, AI also has the ability to examine & identify pattern abnormalities that typically might be missed by humans. Hence, these aspects are projected to stimulate the expansion of Global Artificial Intelligence (AI) in Fintech Market through 2028.

Introduction
1. Product Definition
2. Research Process
3. Market Segmentation
4. Assumptions
Executive Summary
Case Study
Global Artificial Intelligence (AI) in Fintech Market Startups Ecosystem
Customer Survey
1. Adoption of AI enabled Data Analytics by Application
2. Adoption of AI by Application
3. Others
Impact of Covid-19 on the Global Artificial Intelligence (AI) in Fintech Market
Expert Verbatim-Interview Excerpts of industry experts
Global Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Component
    1. Solution
      1. Software Tools
        
        Data Discovery
        
        Data Quality and Data Governance
        
        Data Visualization
      2. Platforms
    2. Services
      1. Professional
      2. Managed
  2. By Deployment
    1. On-Premise
    2. Cloud
  3. By Application
    1. Business Analytics and Reporting
    2. Virtual Assistants (Chatbots)
    3. Fraud Detection
    4. Others
  4. By End User
    1. Stock Trading Firms
    2. Hedge Funds
    3. Retail Banking
    4. Investment Banking
    5. Other
  5. By Region
    1. North America
    2. South America
    3. Europe
    4. Middle East & Africa
    5. Asia-Pacific
  6. By Company
    1. Market Shares, By Revenue
    2. Strategic Factorial Indexing
    3. Competitor Placement in MarkNtel Quadrant
3. Market Attractiveness Index
  1. By Component
  2. By Deployment
  3. By Application
  4. By End User
  5. By Region
North America Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Component
  2. By Deployment
  3. By Application
  4. By End User
  5. By Country
    1. The US
    2. Canada
    3. Mexico
3. The US Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
4. Canada Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
South America Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Component
  2. By Deployment
  3. By Application
  4. By End User
  5. By Country
    1. Brazil
    2. Argentina
    3. Others
3. Brazil Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
Europe Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Component
  2. By Deployment
  3. By Application
  4. By End User
  5. By Country
    1. Germany
    2. The UK
    3. France
    4. Italy
    5. Spain
    6. The Netherlands
    7. Others
3. Germany Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
4. The UK Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
5. France Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
6. Italy Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
7. Spain Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
8. The Netherlands Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
Middle East & Africa Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Component
  2. By Deployment
  3. By Application
  4. By End User
  5. By Country
    1. UAE
    2. Saudi Arabia
    3. South Africa
    4. Others
3. UAE Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
4. Saudi Arabia Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
5. South Africa Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
Asia-Pacific Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
1. Market Size & Analysis
  1. Revenues
2. Market Share & Analysis
  1. By Component
  2. By Deployment
  3. By Application
  4. By End User
  5. By Country
    1. China
    2. India
    3. Japan
    4. South Korea
    5. Australia
    6. Others
3. China Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
4. India Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
5. Japan Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
6. South Korea Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
7. Australia Artificial Intelligence (AI) in Fintech Market Outlook, 2018-2028
  1. Market Size & Analysis
    1. Revenues
  2. Market Share & Analysis
    1. By Component
    2. By Deployment
    3. By Application
Global Artificial Intelligence (AI) in Fintech Market Policies, Regulations, Product Standards
Global Artificial Intelligence (AI) in Fintech Market Trends & Insights
Global Artificial Intelligence (AI) in Fintech Market Dynamics
1. Growth Drivers
2. Challenges
3. Impact Analysis
Global Artificial Intelligence (AI) in Fintech Market Hotspot & Opportunities
Global Artificial Intelligence (AI) in Fintech Market Key Strategic Imperatives for Success & Growth
Competition Outlook
1. Competition Matrix
  1. Solution Portfolio
  2. Target Markets
  3. Research & Development
  4. Strategic Alliances
  5. Strategic Initiatives
2. Company Profiles of Top Companies (Business Description, Product Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
  1. Google
  2. IBM
  3. Intel
  4. Inbenta Technologies
  5. Nuance Communications
  6. Complyadvantage.Com
  7. Salesforce.Com
  8. Amazon Web Services
  9. Samsung
  10. Ipsoft
  11. Next It Corp.
  12. Microsoft
  13. Onfido
  14. Active.Ai
  15. TIBCO Software
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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