Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 AI in asset management market 3600 synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Technology trends
2.5 Deployment mode trends
2.6 Application trends
2.7 End-use trends
Chapter 3 AI in Asset Management Market Industry Insights
3.1 Impact on COVID-19
3.2 Russia- Ukraine war impact
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.8.1 Acquisitions & mergers
3.8.2 Partnerships & collaboration
3.8.3 Product launches
3.8.4 Government initiatives
3.8.5 Business expansion
3.9 Regulatory landscape
3.10 Impact forces
3.10.1 Growth drivers
3.10.1.1 Growing adoption of cloud-based artificial intelligence services in asset management
3.10.1.2 The growing importance of asset tracking in BFSI sector
3.10.1.3 Strong government initiatives to promote AI-based infrastructure
3.10.1.4 High investments by enterprises in AI services
3.10.1.5 Growing number of innovative startups across the globe
3.10.2 Industry pitfalls & challenges
3.10.2.1 The rising number of data privacy and cybersecurity issues
3.11 Growth potential analysis
3.12 Porter’s analysis
3.13 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 Accenture
4.3.2 Amazon web services, Inc
4.3.3 International Business Machines Corporation
4.3.4 Intel Corporation
4.3.5 Infosys Limited
4.3.6 Genpact
4.3.7 Microsoft corporation
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022
Chapter 5 AI in Asset Management Market Estimates & Forecast, By Technology (Revenue)
5.1 Key trends, by Technology
5.2 Machine Learning
5.3 Natural Language Processing (NLP)
Chapter 6 AI in Asset Management Market Estimates & Forecast, By Deployment Mode (Revenue)
6.1 Key trends, by deployment mode
6.2 On-premises
6.3 Cloud
Chapter 7 AI in Asset Management Market Estimates & Forecast, By Application (Revenue)
7.1 Key trends, by application
7.2 Portfolio Optimization
7.3 Conversational platform
7.4 Risk & compliance
7.5 Data analysis
7.6 Process automation
7.7 Others
Chapter 8 AI in Asset Management Market Estimates & Forecast, By End-Use (Revenue)
8.1 Key trends, End-use
8.2 BFSI
8.3 Retail and e-commerce
8.4 Healthcare
8.5 Energy and utilities
8.6 Others
Chapter 9 AI in Asset Management Market, By Region (Revenue)
9.1 Key trends, by region
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Netherlands
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 ANZ
9.4.5 South Korea
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.6 MEA
9.6.1 South Africa
9.6.2 UAE
9.6.3 Saudi Arabia
Chapter 10 Company Profiles
10.1 Accenture
10.2 Amazon web services, Inc
10.3 Avaamo
10.4 AXYON, AI
10.5 BlackRock, Inc
10.6 Charles Schwab & Co., Inc
10.7 Genpact
10.8 Infosys Limited
10.9 Intel Corporation
10.10 International business machines corporation
10.11 Lexalytics
10.12 Microsoft Corporation
10.13 Next IT Corp
10.14 S & P global
10.15 Salesforce, Inc
