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AI in Fintech Market, by Component (Solution, Service), Deployment Mode (Cloud, On-Premises), Application Area (Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioral Analytics, Others) – Global Revenue, Trends, Growth, Share, Size and Forecast to 2022

ICT284 September 2017 100+ FREE 10% CUSTOMIZATION

Artificial Intelligence (AI) is helping fintech companies to solve human problems, by increasing business efficiency and by methods derived from human intelligence. AI in fintech is improving the business processes of the financial service providers. Technologies like Machine Learning, Artificial Intelligence (AI), Neural Networks, Big Data Analytics, evolutionary algorithms, and much more have allowed computers to crunch huge varied, and extensive datasets. The AI in Fintech Market is growing substantially because of growing internet usage and availability of spatial data. AI helps to analyze business and customer behavior, and aids in regulatory and compliance management. This report studies the current and future aspects of AI in Fintech Market.

The report on the global AI in Fintech Market uses the top-down and bottom-up approaches to define, analyze, and describe the market trends for the next five years. The report also tracks the emerging applications, innovative technologies, and mergers & acquisitions. It also focuses on the growth drivers and restraints for the key market players during the forecast period.

KEY BENEFITS OF THE REPORT

  • In-depth analysis of the market ecosystem and its impact on the revenue growth
  • Understanding of the strategies that are being adopted by the key players in this market to stay competitive
  • Valuable insights into the key technological and market trends impacting this market

KEY PREMIUM INDUSTRY INSIGHTS

  • The global AI in fintech market is gaining popularity worldwide during the forecasted period because of increasing data usage, rise in number of business collaborations and improved financial operations. The software tools are used in the financial sector to extract a large amount of data, which is required to be accurate, hence this feature is promoting the market growth.
  • The maintenance of AI in fintech is managed by service providers, who enable the usage of AI up to its full potential; hence, this feature is creating newer growth opportunities for the market. However, the growth of the AI in fintech market is being hampered due to increasing need for the improved financial operations, cost reductions, and customer engagement. Due to these factors, there is a high risk of failure of the AI in fintech market.

The global AI in fintech market is divided into five major geographical segments which are North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. The North America region holds the highest market share and is the largest revenue contributor for the AI in fintech market. The region continues to dominate during the forecasted period because of use of AI in developed economies like U.S. and Canada, and focus on R&D for innovations in AI technology. Next in line is the Asia-Pacific region which is witnessing a rapid market growth because of the advancement in technology and rapid expansion of domestic enterprises across the financial sector.

RESEARCH METHODOLOGY

The research methodology for Scalar Market Research’s AI in Fintech Market report utilizes a combination of top-down and bottom-up research formats. Our primary focus on continuous market tracking, rigorous fact-checking, data-triangulation, and multiple layers of quality control ensures high-quality data that can be leveraged for actionable research insights.

To know about the assumptions considered for the study, Download PDF Sample.

MARKET SEGMENTATION

This report analyzes the AI in Fintech Market by the following segments:

  • AI in Fintech Market, by Component
    • Solutions
    • Services
  • AI in Fintech Market, by Deployment Mode
    • Cloud
    • On-premises
  • AI in Fintech Market, by Application Area
    • Virtual Assistant (Chatbots)
    • Business Analytics and Reporting
    • Customer Behavioral Analytics
    • Others

KEY MARKET PLAYERS

Key players in the AI in Fintech Market include:

  • Microsoft
  • Google
  • IBM
  • Intel
  • Inbenta Technologies
  • Nuance Communications
  • Complyadvantage.Com
  • Salesforce.Com
  • Amazon Web Services
  • Samsung

GEOGRAPHIC COVERAGE AND ANALYSIS

This granular market research report covers the following geographic regions in great detail:

  • NORTH AMERICA
    • U.S.
    • Rest of North America
  • EUROPE
    • France
    • Germany
    • U.K.
    • Rest of Europe
  • ASIA-PACIFIC
    • China
    • India
    • Japan
    • Rest of Asia-Pacific
  • MIDDLE EAST & AFRICA
    • GCC
    • North Africa
    • South Africa
    • Rest of Middle East & Africa
  • LATIN AMERICA
    • Brazil
    • Rest of Latin America

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  1. MARKET OVERVIEW
    1. Market Definitions
    2. Research Methodology
    3. Market Segmentation
  2. EXECUTIVE SUMMARY
  3. MARKET DYNAMICS
    1. Drivers
    2. Restraints
    3. Opportunities
    4. Premium Industry Trends
  4. INDUSTRY ANALYSIS
    1. Value Chain Analysis
    2. Technology Roadmap
  5. AI IN FINTECH MARKET, BY COMPONENT
    1. Segment Share
    2. By Component
      1. Solutions
      2. Services
  6. AI IN FINTECH MARKET, BY DEPLOYMENT MODE
    1. Segment Share
    2. By Deployment Mode
      1. Cloud
      2. On-premises
  7. AI IN FINTECH MARKET, BY APPLICATION AREA
    1. Segment Share
    2. By Application Area
      1. Virtual Assistant (Chatbots)
      2. Business Analytics and Reporting
      3. Customer Behavioral Analytics
      4. Others
  8. AI IN FINTECH MARKET, BY GEOGRAPHY
    1. Segment Share
    2. North America
      1. By Regions
        1. U.S.
        2. Rest of North America
      2. By Component
      3. By Deployment Mode
      4. By Application Area
    3. Europe
      1. By Region
        1. France
        2. Germany
        3. U.K.
        4. Rest of Europe
      2. By Component
      3. By Deployment Mode
      4. By Application Area
    4. Asia-Pacific
      1. By Region
        1. China
        2. India
        3. Japan
        4. Rest of Asia-Pacific
      2. By Component
      3. By Deployment Mode
      4. By Application Area
    5. Middle East & Africa
      1. By Region
        1. GCC
        2. North Africa
        3. South Africa
        4. Rest of Middle East & Africa
      2. By Component
      3. By Deployment Mode
      4. By Application Area
    6. Latin America
      1. By Region
        1. Brazil
        2. Rest of Latin America
      2. By Component
      3. By Deployment Mode
      4. By Application Area
  9. COMPETITIVE LANDSCAPE
    1. Market Positioning of Key Players, 2016
    2. Key Innovators
  10. KEY MARKET PLAYERS
    1. Microsoft
      1. Overview
      2. Key Strategies
      3. Key Developments
    2. Google
      1. Overview
      2. Key Strategies
      3. Key Developments
    3. IBM
      1. Overview
      2. Key Strategies
      3. Key Developments
    4. Intel
      1. Overview
      2. Key Strategies
      3. Key Developments
    5. Inbenta Technologies
      1. Overview
      2. Key Strategies
      3. Key Developments
    6. Nuance Communications
      1. Overview
      2. Key Strategies
      3. Key Developments
    7. Complyadvantage.Com
      1. Overview
      2. Key Strategies
      3. Key Developments
    8. Salesforce.Com
      1. Overview
      2. Key Strategies
      3. Key Developments
    9. Amazon Web Services
      1. Overview
      2. Key Strategies
      3. Key Developments
    10. Samsung
      1. Overview
      2. Key Strategies
      3. Key Developments
  11. SCALAR 360 DEGREE MARKET PERSPECTIVE
  12. APPENDIX
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