The Artificial Intelligence (AI) in Fintech Market reports delivers an in-depth assessment of market size, share, and emerging trends, offering valuable insights into growth opportunities. It examines market segmentation and definitions, highlighting core components and key drivers of expansion. By applying SWOT and PESTEL analyses, the study evaluates the sector’s strengths, weaknesses, opportunities, and threats, while also considering political, economic, social, technological, environmental, and legal factors. Expert reviews of competitor strategies and recent developments provide a clearer view of regional dynamics and future market trajectories, establishing a strong foundation for strategic planning and informed investment decisions.
What will be the market size of Artificial Intelligence (AI) in Fintech market 2028?
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.
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Who are the top companies operating in the Artificial Intelligence (AI) in Fintech market?
The report features prominent companies operating in the Artificial Intelligence (AI) in Fintech market and the successful strategies they have adopted. It also provides detailed insights into each company’s market share and their role in driving the industry’s growth. As per MarkNtel Advisors, top companies in Artificial Intelligence (AI) in Fintech market: 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.
Artificial Intelligence (AI) in Fintech Market - Segmentation Analysis
- By Components (Solution [Software Tools {Data Discovery, Data Quality and Data Governance, Data Visualization}, Platforms], Services [Managed Services, Professional Services]),
- By 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.)
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How does the Artificial Intelligence (AI) in Fintech Market vary across different geography?
By Region
- North America
- South America
- Europe
- The Middle East & Africa
- Asia-Pacific
North America is projected to continue dominating the Artificial Intelligence (AI) in Fintech Market during 2023-28.
This Section cover detailed analysis of revenue, market share and growth rate, historical data (2020-23) and forecast (2025-2028) of the following segmentation and geography.
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Comprehensive Table of Contents – Artificial Intelligence (AI) in Fintech Market Analysis and Forecast, 2028
- Table 1: Introduction
- Table 2: Executive Summary
- Table 3: Market Regulations, Policies & Standards
- Table 4: Artificial Intelligence (AI) in Fintech Market Size, Share & Scope, 2020-2028F
- Table 5: Market Trends & Developments
- Table 6: Market Dynamics (Key Drivers, and Challenges)
- Table 7: Market Hotspots & Opportunities
- Table 8: Market Value Chain Analysis
- Table 9: Market Outlook, 2020-2028F
- Table 10: Market Size & Analysis by Revenues (USD Million):
- Table 11: Market Size & Forecast 2020–2028 by Segmentation
- Table 12: Market Size & Forecast 2020–2028 by Geography
- Table 13: Key Strategic Imperatives for Success & Growth
- Table 14: Competitor Analysis of Artificial Intelligence (AI) in Fintech Companies
Key Benefits for Industry Participants and Stakeholders
- Insight into emerging market trends and investment opportunities
- Understanding of regional market dynamics and competitive landscapes
- Data-driven forecasts to support strategic decision-making
- Access to industry benchmarks for performance evaluation
- Identification of potential risks and growth challenges
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