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

Date: May 20, 2019
Pages: 67
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US$ 3,500.00
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Publisher: Infoholic Research
Report type: Strategic Report
Delivery: E-mail Delivery (PDF), Hard Copy Mail Delivery
ID: A02199B0875EN
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AI in Financial Asset Management Market – Global Forecast up to 2025
Global AI in Financial Asset Management Market – Drivers, Restraints, Opportunities, Trends, and Forecast up to 2025

In recent years, financial institutions are adopting the artificial intelligence (AI) technology for managing their financial assets and reducing operating cost, thereby increasing the revenue. Several fintech companies and banks are rapidly deploying voice assistants and chatbots to manage customer interactions and resolve issues (queries) with minimal human involvement. Machine learning, computer vision, and speech recognition technologies are in demand and major number of acquisitions in the recent years were associated with these technologies, and the same technologies will dominate the investment patterns in the coming years

Major areas where AI could be deployed in manging financial assets include fraud detection, personal financial management, and investment banking. With the implementation of financial asset management, the financial institutions can effectively manage their financial assets and meet expectations of the changing customer behavior by leveraging technologies, including AI, predictive analytics, and machine learning. This will assist organizations in automation and improves business processes, thus resulting in enhanced customer’s experience.

The global AI in financial asset management market is categorized based on the presence of diversified small and large vendors. Genpact, IBM, Infosys, and Synechron are among the key vendors increasing their global footprint in this space. However, various vendors such as IPsoft and Lexalytics are competing with them in the global market by providing solutions at a competitive price with the customized product offering. The market growth is fuelled by key vendors entering into strategic partnerships with suppliers and third-party vendors in the ecosystem to increase the global footprint and customer service capabilities.

Natural language processing (NLP) is the fastest growing technology in the global AI in financial asset management market owing to the increasing deployment of chatbots and virtual personal assistants in the banking sector. Additionally, increasing demand for sentiment analysis and management of huge volumes of contracts, will drive the NLP segment during the forecasted period.

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 theses datasets for decision making. Investment banks are implementing AI in the areas such as investment decisions, alternative investment strategies, managing hedge funds and others.

According to Infoholic Research, the global AI in financial asset management market is expected to grow at a CAGR of 33.84% 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.

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 Americas, Europe, APAC, and RoW (RoW includes 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 vendors 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 data-driven financial sector
    3.5.1.2 Rapid proliferation of new investment vehicles
    3.5.1.3 Changing customer behavior 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
9.5 Abbreviations

TABLES

TABLE 1 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2025 ($BILLION)
TABLE 2 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2025 ($BILLION)
TABLE 3 GLOBAL AI IN FAM MARKET REVENUE, BY GEOGRAPHY, 2018–2025 ($BILLION)
TABLE 4 PRODUCT/OFFERINGS PORTFOLIO ANALYSIS: AI IN FINANCIAL ASSET MANAGEMENT MARKET
TABLE 5 SWOT ANALYSIS: AI IN FINANCIAL ASSET MANAGEMENT MARKET
TABLE 6 MERGER & ACQUISITION, 2013–2017
TABLE 7 EXPANSIONS, 2013–2017
TABLE 8 PRODUCT LAUNCHES & EXHIBITIONS, 2013–2017
TABLE 9 GENPACT: OVERVIEW
TABLE 10 GENPACT: STRATEGIC SNAPSHOT
TABLE 11 GENPACT: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 12 GENPACT: OPERATIONAL SNAPSHOT
TABLE 13 GENPACT: PRODUCT/SERVICE PORTFOLIO
TABLE 14 IBM: OVERVIEW
TABLE 15 IBM: STRATEGIC SNAPSHOT
TABLE 16 IBM: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 17 IBM: OPERATIONAL SNAPSHOT
TABLE 18 IBM: PRODUCT/SERVICE PORTFOLIO
TABLE 19 INFOSYS: OVERVIEW
TABLE 20 INFOSYS: STRATEGIC SNAPSHOT
TABLE 21 INFOSYS: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 22 INFOSYS: OPERATIONAL SNAPSHOT
TABLE 23 INFOSYS: PRODUCT/SERVICE PORTFOLIO
TABLE 24 SYNECHRON: OVERVIEW
TABLE 25 SYNECHRON: STRATEGIC SNAPSHOT
TABLE 26 SYNECHRON: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 27 SYNECHRON: OPERATIONAL SNAPSHOT
TABLE 28 SYNECHRON: PRODUCT/SERVICE PORTFOLIO
TABLE 29 TREND MICRO: OVERVIEW
TABLE 30 TREND MICRO: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 31 TREND MICRO: OPERATIONAL SNAPSHOT
TABLE 32 NEXT IT: PRODUCT/SERVICE PORTFOLIO
TABLE 33 IPSOFT: OVERVIEW
TABLE 34 IPSOFT: STRATEGIC SNAPSHOT
TABLE 35 IPSOFT: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 36 IPSOFT: OPERATIONAL SNAPSHOT
TABLE 37 IPSOFT: PRODUCT/SERVICE PORTFOLIO
TABLE 38 LEXALYTICS: OVERVIEW
TABLE 39 LEXALYTICS: STRATEGIC SNAPSHOT
TABLE 40 LEXALYTICS: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 41 LEXALYTICS: OPERATIONAL SNAPSHOT
TABLE 42 LEXALYTICS: PRODUCT/SERVICE PORTFOLIO
TABLE 43 NARRATIVE SCIENCE: OVERVIEW
TABLE 44 NARRATIVE SCIENCE: STRATEGIC SNAPSHOT
TABLE 45 NARRATIVE SCIENCE: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 46 NARRATIVE SCIENCE: OPERATIONAL SNAPSHOT
TABLE 47 NARRATIVE SCIENCE: PRODUCT/SERVICE PORTFOLIO
TABLE 48 RESEARCH METHODOLOGY OF GLOBAL AI IN FAM MARKET: TRIANGULATION

CHARTS

CHART 1 AIOPS MARKET SIZE AND GROWTH RATE 2019–2025
CHART 2 AIOPS MARKET SHARE BY REGION, 2018
CHART 3 VENDORS LANDSCAPE OF AI IN FAM MARKET
CHART 4 GLOBAL AI IN FAM MARKET REVENUE, 2018–2025 ($BILLION)
CHART 5 PEST ANALYSIS: AI IN FAM MARKET
CHART 6 PORTER’S 5 FORCE ANALYSIS: AI IN FAM MARKET
CHART 7 SEGMENTATION: AI IN FAM MARKET
CHART 8 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
CHART 9 DRO – IMPACT ANALYSIS: AI IN FAM MARKET
CHART 10 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2021 ($BILLION)
CHART 11 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2022–2025 ($BILLION)
CHART 12 GLOBAL AI IN FAM MARKET, BY PREDICTIVE ANALYTICS, 2018–2025 (BILLIONS)
CHART 13 GLOBAL AI IN FAM MARKET, BY MACHINE LEARNING, 2018–2025 (BILLIONS)
CHART 14 GLOBAL AI IN FAM MARKET, BY NLP, 2018–2025 (BILLIONS)
CHART 15 GLOBAL AI IN FAM MARKET, BY OTHERS, 2018–2025 (BILLIONS)
CHART 16 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2021 ($BILLION)
CHART 17 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2022–2025 ($BILLION)
CHART 18 GLOBAL AI IN FAM MARKET, BY CONVERSATIONAL PLATFORM, 2018–2025 (BILLIONS)
CHART 19 GLOBAL AI IN FAM MARKET, BY DATA ANALYSIS, 2018–2025 (BILLIONS)
CHART 20 GLOBAL AI IN FAM MARKET, BY RISK & COMPLIANCE, 2018–2025 (BILLIONS)
CHART 21 GLOBAL AI IN FAM MARKET, BY PORTFOLIO OPTIMIZATION, 2018–2025 (BILLIONS)
CHART 22 GLOBAL AI IN FAM MARKET, BY PROCESS AUTOMATION, 2018–2025 (BILLIONS)
CHART 23 GLOBAL AI IN FAM MARKET, BY OTHERS, 2018–2025 (BILLIONS)
CHART 24 GLOBAL AI IN FAM MARKET REVENUE, BY GEOGRAPHY, 2018–2025 ($BILLION)
CHART 25 AI IN FAM MARKET REVENUE IN AMERICAS, 2018–2025 ($BILLION)
CHART 26 AI IN FAM MARKET REVENUE IN EUROPE, 2018–2025 ($BILLION)
CHART 27 AI IN FAM MARKET REVENUE IN APAC, 2018–2025 ($BILLION)
CHART 28 AI IN FAM MARKET REVENUE IN ROW, 2018–2025 ($BILLION)
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