Report Detail

Technology AI in Financial Asset Management Market – Global Forecast up to 2025

  • RnM3518603
  • |
  • 14 June, 2019
  • |
  • Global
  • |
  • 123 Pages
  • |
  • Maia Research
  • |
  • Technology

According to the author, the global AI in financial asset management market is expected to grow at a CAGR of XX% during the forecast period 2019-2025. The aim of this report is to define, describe, segment, and forecast the AI in financial asset management market on the basis of technology, application, and regions. In addition, the report helps the venture capitalists in understanding the companies better and make well-informed decisions. The report is primarily designed to provide the company’s executives with strategically substantial competitor information, data analysis, and insights about the market, development, and implementation for an effective marketing plan.

Data analysis is having the largest market share in the application segment of the global AI in financial asset management market primarily due to availability of huge volumes of data being generated from multiple sources and need to analyse these datasets for decision making. Investment banks are implementing AI in areas such as investment decisions, alternative investment strategies, managing hedge funds and others.

The global AI in financial asset management market is categorized based on three segments – technology, application, and regions.

Technology includes Predictive Analytics, Machine Learning, NLP, and Others

Application includes Conversational Platforms, Data Analysis, Risk & Compliance, Portfolio Optimization, Process Automation, and Others

Regions include the Americas, Europe, APAC, and RoW (RoW includes the Middle East and Africa; APAC includes East Asia, South Asia, South-East Asia, and Oceania)

The report comprises an analysis of vendors, which includes financial status, business units, key business priorities, SWOT, business strategies, and views.

The report covers the competitive landscape, which includes mergers & acquisitions, joint ventures & collaborations, and competitor comparison analysis.

In the vendor's profile section, for the companies that are privately held, the financial information and revenue of segments will be limited.

The key players offering AI in financial asset management across the globe include:

Genpact

IBM

Infosys

Synechron

Next IT

IPsoft

Lexalytics

Narrative Science


1 Executive Summary 

    2 Industry Outlook 

    • 2.1 Industry Snapshot 
    • 2.1.1 Industry Overview 
  • 2.1.2 Industry Trends 
  • 3 Market Snapshot 

    • 3.1 Total Addressable Market 
    • 3.2 Segment Addressable Market 
    • 3.2.1 PEST Analysis 
  • 3.2.2 Porter’s Five Force Analysis 
  • 3.3 Related Markets 
  • 3.4 Market Segmentation 
  • 3.5 Market Dynamics 
  • 3.5.1 Drivers 
  • 3.5.1.1 Adoption of intelligent systems in the data-driven financial sector 
  • 3.5.1.2 Rapid proliferation of new investment vehicles 
  • 3.5.1.3 Changing customer behaviour and expectation 
  • 3.5.2 Restraints 
  • 3.5.2.1 Reluctance among financial institutions to deploy fully autonomous systems 
  • 3.5.2.2 Workforce inability to react to AI outcomes while managing financial assets 
  • 3.5.3 Opportunities 
  • 3.5.3.1 Implementation of AI for Merger & Acquisition 
  • 3.5.3.2 Adoption of cognitive systems in core banking operations 
  • 3.5.4 DRO – Impact Analysis 
  • 4 AI in FAM Market, By Technology 

    • 4.1 Overview 
    • 4.2 Predictive Analytics 
    • 4.3 Machine Learning 
    • 4.4 NLP 
    • 4.5 Others 

    5 AI in FAM Market, By Application 

    • 5.1 Overview 
    • 5.2 Conversational Platform 
    • 5.3 Data Analysis 
    • 5.4 Risk & Compliance 
    • 5.5 Portfolio Optimization 
    • 5.6 Process Automation 
    • 5.7 Others 

    6 AI in FAM Market, By Geography 

    • 6.1 Overview 
    • 6.2 Americas 
    • 6.3 Europe 
    • 6.4 APAC 
    • 6.5 ROW 

    7 Competitive Landscape 

    • 7.1 Competitor Analysis 
    • 7.2 Product/Offerings Portfolio Analysis 
    • 7.3 SWOT Analysis 
    • 7.4 Market Developments 
    • 7.4.1 Mergers & Acquisitions (M&A) 
  • 7.4.2 Expansions 
  • 7.4.3 Product Launches & Exhibitions 
  • 8 Vendor Profiles 

    • 8.1 Genpact 
    • 8.1.1 Analyst Opinion 
  • 8.1.2 Business Analysis 
  • 8.1.2.1 Strategic Snapshot 
  • 8.1.2.2 Business Impact Analysis 
  • 8.1.2.3 Operational Snapshot 
  • 8.1.2.4 Product/Service Portfolio 
  • 8.2 IBM 
  • 8.2.1 Analyst Opinion 
  • 8.2.2 Business Analysis 
  • 8.2.2.1 Strategic Snapshot 
  • 8.2.2.2 Business Impact Analysis 
  • 8.2.2.3 Operational Snapshot 
  • 8.2.2.4 Product/Service Portfolio 
  • 8.3 Infosys 
  • 8.3.1 Analyst Opinion 
  • 8.3.2 Business Analysis 
  • 8.3.2.1 Strategic Snapshot 
  • 8.3.2.2 Business Impact Analysis 
  • 8.3.2.3 Operational Snapshot 
  • 8.3.2.4 Product/Service Portfolio 
  • 8.4 Synechron 
  • 8.4.1 Analyst Opinion 
  • 8.4.2 Business Analysis 
  • 8.4.2.1 Strategic Snapshot 
  • 8.4.2.2 Business Impact Analysis 
  • 8.4.2.3 Operational Snapshot 
  • 8.4.2.4 Product/Service Portfolio 
  • 8.5 Next IT 
  • 8.5.1 Analyst Opinion 
  • 8.5.2 Business Analysis 
  • 8.5.2.1 Business Impact Analysis 
  • 8.5.2.2 Operational Snapshot 
  • 8.5.2.3 Product/Service Portfolio 
  • 8.6 IPsoft 
  • 8.6.1 Analyst Opinion 
  • 8.6.2 Business Analysis 
  • 8.6.2.1 Strategic Snapshot 
  • 8.6.2.2 Business Impact Analysis 
  • 8.6.2.3 Operational Snapshot 
  • 8.6.2.4 Product/Service Portfolio 
  • 8.7 Lexalytics 
  • 8.7.1 Analyst Opinion 
  • 8.7.2 Business Analysis 
  • 8.7.2.1 Strategic Snapshot 
  • 8.7.2.2 Business Impact Analysis 
  • 8.7.2.3 Operational Snapshot 
  • 8.7.2.4 Product/Service Portfolio 
  • 8.8 Narrative Science 
  • 8.8.1 Analyst Opinion 
  • 8.8.2 Business Analysis 
  • 8.8.2.1 Strategic Snapshot 
  • 8.8.2.2 Business Impact Analysis 
  • 8.8.2.3 Operational Snapshot 
  • 8.8.2.4 Product/Service Portfolio 
  • 9 Annexure 

    • 9.1 Report Scope 
    • 9.2 Research Methodology 
    • 9.2.1 Data Collation & in-house Estimation 
  • 9.2.2 Market Triangulation 
  • 9.2.3 Forecasting 
  • 9.3 Study Declarations 
  • 9.4 Report Assumptions 
  • Summary:
    Get latest Market Research Reports on AI in Financial Asset Management. Industry analysis & Market Report on AI in Financial Asset Management is a syndicated market report, published as AI in Financial Asset Management Market – Global Forecast up to 2025. It is complete Research Study and Industry Analysis of AI in Financial Asset Management market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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