According to recent findings, 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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Artificial Intelligence (AI) in Fintech Overview:

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.

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Global Artificial Intelligence (AI) in Fintech Segmentation Analysis:

By Component

• Solution
  • Software Tools
    • Data Discovery
    • Data Quality and Data Governance
    • Data Visualization
  • Platforms
• Services
  • Professional
  • Managed

According to reports,Of both, services are projected to witness notable demand growth in the Global Artificial Intelligence (AI) in Fintech Market during 2023-28, owing to their crucial role in administering AI-enabled fintech apps.

By Deployment

• On-Premise
• Cloud

By Application

• Business Analytics and Reporting
• Virtual Assistants (Chatbots)
• Fraud Detection
• Others

According to reports,Here, Business Analytics & Reporting is projected to witness an upward demand trend in the Global Artificial Intelligence (AI) in Fintech Market during 2023-28. 

By End User

• Stock Trading Firms
• Hedge Funds
• Retail Banking
• Investment Banking
• Other

By Region

• North America
• South America
• Europe
• Middle East & Africa
• Asia-Pacific.

According to reports, North America is projected to continue dominating the Artificial Intelligence (AI) in Fintech Market during 2023-28.

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Some of the Market players in the Global Artificial Intelligence (AI) in Fintech are:

• 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.

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• Company Strategies & Developments – Discover recent mergers, acquisitions, partnerships, and innovations.
• Key Stakeholders & Value Chain Insights – Identify the main players and their roles within the industry ecosystem.
• Import & Export Dynamics – Analyze global trade flows, regional export trends, and supply chain movements.
• Competitive Benchmarking – Gain a clear view of the leading companies and their market positioning.
• Emerging Growth Opportunities – Spot untapped areas and niche markets for potential investment.
• Market Trends & Growth Drivers – Stay ahead with insights into evolving consumer behavior and industry indicators.

Research Methodology Summary

A systematic approach is used to ensure accurate market insights, combining both bottom-up and top-down methods. Data triangulation validates findings from multiple angles.

Key Steps:

• Define objectives and research design
• Collect data through surveys and interviews
• Analyze and validate data using reliable tools
• Forecast trends and deliver actionable insights

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