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.
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.
o Technology includes Predictive Analytics, Machine Learning, NLP, and Others
o Application includes Conversational Platforms, Data Analysis, Risk & Compliance, Portfolio Optimization, Process Automation, and Others
o 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 9
2 Industry Outlook 12
2.1 Industry Snapshot 12
2.1.1 Industry Overview 12
2.1.2 Industry Trends 13
3 Market Snapshot 14
3.1 Total Addressable Market 14
3.2 Segment Addressable Market 14
3.2.1 PEST Analysis 16
3.2.2 Porter’s Five Force Analysis 17
3.3 Related Markets 17
3.4 Market Segmentation 18
3.5 Market Dynamics 19
3.5.1 Drivers 20
3.5.1.1 Adoption of intelligent systems in data-driven financial sector 20
3.5.1.2 Rapid proliferation of new investment vehicles 20
3.5.1.3 Changing customer behavior and expectation 20
3.5.2 Restraints 21
3.5.2.1 Reluctance among financial institutions to deploy fully autonomous systems 21
3.5.2.2 Workforce inability to react to AI outcomes while managing financial assets 21
3.5.3 Opportunities 22
3.5.3.1 Implementation of AI for Merger & Acquisition 22
3.5.3.2 Adoption of cognitive systems in core banking operations 22
3.5.4 DRO – Impact Analysis 23
4 AI in FAM Market, By Technology 24
4.1 Overview 24
4.2 Predictive Analytics 26
4.3 Machine Learning 27
4.4 NLP 28
4.5 Others 29
5 AI in FAM Market, By Application 30
5.1 Overview 30
5.2 Conversational Platform 32
5.3 Data Analysis 33
5.4 Risk & Compliance 34
5.5 Portfolio Optimization 35
5.6 Process Automation 36
5.7 Others 37
6 AI in FAM Market, By Geography 38
6.1 Overview 38
6.2 Americas 39
6.3 Europe 40
6.4 APAC 41
6.5 RoW 42
7 Competitive Landscape 43
7.1 Competitor Analysis 43
7.2 Product/Offerings Portfolio Analysis 43
7.3 SWOT Analysis 44
7.4 Market Developments 46
7.4.1 Mergers & Acquisitions (M&A) 46
7.4.2 Expansions 46
7.4.3 Product Launches & Exhibitions 46
8 Vendor Profiles 48
8.1 Genpact 48
8.1.1 Analyst Opinion 48
8.1.2 Business Analysis 49
8.1.2.1 Strategic Snapshot 49
8.1.2.2 Business Impact Analysis 49
8.1.2.3 Operational Snapshot 49
8.1.2.4 Product/Service Portfolio 50
8.2 IBM 50
8.2.1 Analyst Opinion 50
8.2.2 Business Analysis 51
8.2.2.1 Strategic Snapshot 51
8.2.2.2 Business Impact Analysis 51
8.2.2.3 Operational Snapshot 51
8.2.2.4 Product/Service Portfolio 52
8.3 Infosys 52
8.3.1 Analyst Opinion 52
8.3.2 Business Analysis 53
8.3.2.1 Strategic Snapshot 53
8.3.2.2 Business Impact Analysis 53
8.3.2.3 Operational Snapshot 54
8.3.2.4 Product/Service Portfolio 54
8.4 SYNECHRON 54
8.4.1 Analyst Opinion 54
8.4.2 Business Analysis 55
8.4.2.1 Strategic Snapshot 55
8.4.2.2 Business Impact Analysis 55
8.4.2.3 Operational Snapshot 55
8.4.2.4 Product/Service Portfolio 56
8.5 Next IT 56
8.5.1 Analyst Opinion 56
8.5.2 Business Analysis 56
8.5.2.1 Business Impact Analysis 56
8.5.2.2 Operational Snapshot 57
8.5.2.3 Product/Service Portfolio 57
8.6 IPsoft 57
8.6.1 Analyst Opinion 57
8.6.2 Business Analysis 58
8.6.2.1 Strategic Snapshot 58
8.6.2.2 Business Impact Analysis 58
8.6.2.3 Operational Snapshot 58
8.6.2.4 Product/Service Portfolio 58
8.7 Lexalytics 59
8.7.1 Analyst Opinion 59
8.7.2 Business Analysis 59
8.7.2.1 Strategic Snapshot 59
8.7.2.2 Business Impact Analysis 59
8.7.2.3 Operational Snapshot 60
8.7.2.4 Product/Service Portfolio 60
8.8 Narrative Science 60
8.8.1 Analyst Opinion 60
8.8.2 Business Analysis 61
8.8.2.1 Strategic Snapshot 61
8.8.2.2 Business Impact Analysis 61
8.8.2.3 Operational Snapshot 62
8.8.2.4 Product/Service Portfolio 62
9 Annexure 63
9.1 Report Scope 63
9.2 Research Methodology 63
9.2.1 Data Collation & In-house Estimation 63
9.2.2 Market Triangulation 64
9.2.3 Forecasting 64
9.3 Study Declarations 64
9.4 Report Assumptions 65
9.5 Abbreviations 65


List Of Tables

TABLE 1 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2025 ($BILLION) 25
TABLE 2 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2025 ($BILLION) 31
TABLE 3 GLOBAL AI IN FAM MARKET REVENUE, BY GEOGRAPHY, 2018–2025 ($BILLION) 39
TABLE 4 PRODUCT/OFFERINGS PORTFOLIO ANALYSIS: AI IN FINANCIAL ASSET MANAGEMENT MARKET 43
TABLE 5 SWOT ANALYSIS: AI IN FINANCIAL ASSET MANAGEMENT MARKET 44
TABLE 6 MERGER & ACQUISITION, 2013–2017 46
TABLE 7 EXPANSIONS, 2013–2017 46
TABLE 8 PRODUCT LAUNCHES & EXHIBITIONS, 2013–2017 46
TABLE 9 GENPACT: OVERVIEW 48
TABLE 10 GENPACT: STRATEGIC SNAPSHOT 49
TABLE 11 GENPACT: BUSINESS OPPORTUNITIES AND OUTLOOK 49
TABLE 12 GENPACT: OPERATIONAL SNAPSHOT 49
TABLE 13 GENPACT: PRODUCT/SERVICE PORTFOLIO 50
TABLE 14 IBM: OVERVIEW 50
TABLE 15 IBM: STRATEGIC SNAPSHOT 51
TABLE 16 IBM: BUSINESS OPPORTUNITIES AND OUTLOOK 51
TABLE 17 IBM: OPERATIONAL SNAPSHOT 51
TABLE 18 IBM: PRODUCT/SERVICE PORTFOLIO 52
TABLE 19 INFOSYS: OVERVIEW 52
TABLE 20 INFOSYS: STRATEGIC SNAPSHOT 53
TABLE 21 INFOSYS: BUSINESS OPPORTUNITIES AND OUTLOOK 53
TABLE 22 INFOSYS: OPERATIONAL SNAPSHOT 54
TABLE 23 INFOSYS: PRODUCT/SERVICE PORTFOLIO 54
TABLE 24 SYNECHRON: OVERVIEW 54
TABLE 25 SYNECHRON: STRATEGIC SNAPSHOT 55
TABLE 26 SYNECHRON: BUSINESS OPPORTUNITIES AND OUTLOOK 55
TABLE 27 SYNECHRON: OPERATIONAL SNAPSHOT 55
TABLE 28 SYNECHRON: PRODUCT/SERVICE PORTFOLIO 56
TABLE 29 TREND MICRO: OVERVIEW 56
TABLE 30 TREND MICRO: BUSINESS OPPORTUNITIES AND OUTLOOK 56
TABLE 31 TREND MICRO: OPERATIONAL SNAPSHOT 57
TABLE 32 NEXT IT: PRODUCT/SERVICE PORTFOLIO 57
TABLE 33 IPSOFT: OVERVIEW 57
TABLE 34 IPSOFT: STRATEGIC SNAPSHOT 58
TABLE 35 IPSOFT: BUSINESS OPPORTUNITIES AND OUTLOOK 58
TABLE 36 IPSOFT: OPERATIONAL SNAPSHOT 58
TABLE 37 IPSOFT: PRODUCT/SERVICE PORTFOLIO 58
TABLE 38 LEXALYTICS: OVERVIEW 59
TABLE 39 LEXALYTICS: STRATEGIC SNAPSHOT 59
TABLE 40 LEXALYTICS: BUSINESS OPPORTUNITIES AND OUTLOOK 59
TABLE 41 LEXALYTICS: OPERATIONAL SNAPSHOT 60
TABLE 42 LEXALYTICS: PRODUCT/SERVICE PORTFOLIO 60
TABLE 43 NARRATIVE SCIENCE: OVERVIEW 60
TABLE 44 NARRATIVE SCIENCE: STRATEGIC SNAPSHOT 61
TABLE 45 NARRATIVE SCIENCE: BUSINESS OPPORTUNITIES AND OUTLOOK 61
TABLE 46 NARRATIVE SCIENCE: OPERATIONAL SNAPSHOT 62
TABLE 47 NARRATIVE SCIENCE: PRODUCT/SERVICE PORTFOLIO 62
TABLE 48 RESEARCH METHODOLOGY OF GLOBAL AI IN FAM MARKET: TRIANGULATION 64


List Of Figures

CHART 1 AIOPS MARKET SIZE AND GROWTH RATE 2019–2025 10
CHART 2 AIOPS MARKET SHARE BY REGION, 2018 11
CHART 3 VENDORS LANDSCAPE OF AI IN FAM MARKET 11
CHART 4 GLOBAL AI IN FAM MARKET REVENUE, 2018–2025 ($BILLION) 15
CHART 5 PEST ANALYSIS: AI IN FAM MARKET 16
CHART 6 PORTER’S 5 FORCE ANALYSIS: AI IN FAM MARKET 17
CHART 7 SEGMENTATION: AI IN FAM MARKET 18
CHART 8 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES 19
CHART 9 DRO – IMPACT ANALYSIS: AI IN FAM MARKET 23
CHART 10 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2021 ($BILLION) 24
CHART 11 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2022–2025 ($BILLION) 25
CHART 12 GLOBAL AI IN FAM MARKET, BY PREDICTIVE ANALYTICS, 2018–2025 (BILLIONS) 26
CHART 13 GLOBAL AI IN FAM MARKET, BY MACHINE LEARNING, 2018–2025 (BILLIONS) 27
CHART 14 GLOBAL AI IN FAM MARKET, BY NLP, 2018–2025 (BILLIONS) 28
CHART 15 GLOBAL AI IN FAM MARKET, BY OTHERS, 2018–2025 (BILLIONS) 29
CHART 16 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2018–2021 ($BILLION) 30
CHART 17 GLOBAL AI IN FAM MARKET VALUE, BY TECHNOLOGY, 2022–2025 ($BILLION) 31
CHART 18 GLOBAL AI IN FAM MARKET, BY CONVERSATIONAL PLATFORM, 2018–2025 (BILLIONS) 32
CHART 19 GLOBAL AI IN FAM MARKET, BY DATA ANALYSIS, 2018–2025 (BILLIONS) 33
CHART 20 GLOBAL AI IN FAM MARKET, BY RISK & COMPLIANCE, 2018–2025 (BILLIONS) 34
CHART 21 GLOBAL AI IN FAM MARKET, BY PORTFOLIO OPTIMIZATION, 2018–2025 (BILLIONS) 35
CHART 22 GLOBAL AI IN FAM MARKET, BY PROCESS AUTOMATION, 2018–2025 (BILLIONS) 36
CHART 23 GLOBAL AI IN FAM MARKET, BY OTHERS, 2018–2025 (BILLIONS) 37
CHART 24 GLOBAL AI IN FAM MARKET REVENUE, BY GEOGRAPHY, 2018–2025 ($BILLION) 38
CHART 25 AI IN FAM MARKET REVENUE IN AMERICAS, 2018–2025 ($BILLION) 39
CHART 26 AI IN FAM MARKET REVENUE IN EUROPE, 2018–2025 ($BILLION) 40
CHART 27 AI IN FAM MARKET REVENUE IN APAC, 2018–2025 ($BILLION) 41
CHART 28 AI IN FAM MARKET REVENUE IN ROW, 2018–2025 ($BILLION) 42


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