AI In Asset Management Market is forecasted to value over USD 15.13 billion by 2028 end and register a CAGR of 37% from the forecast period 2021-2028.

As per the market analysis performed by research analysts at Future Market Analytics, the adoption of Artificial Intelligence and AI In Asset Management (ML) by organizations across the world has risen and it is predicted that this rate of adoption shall increase in future as well. This is due to the advantages AI and AI In Asset Management offer in risk assessment, business analytics, research, and development. Professionals are also pushing for a safer and transparent implementation of this technology which shall further propel its growth. The integration of AI and IoT can be beneficial for the industrial as well as home automation sector, thus accelerating the growth of the AI and ML industry. AI would soon help understand the functionalities of invasive bacteria and viruses and aid in curing terminal diseases like cancer thus having the potential of limiting the implementation of age-old remedies like chemotherapy.

The assessment of the AI In Asset Management Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The AI In Asset Management Market is also analyzed based on the regional segmentation, product type or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the AI In Asset Management Market:

  • BlackRock, Inc.
  • Microsoft Corporation
  • CapitalG
  • Charles Schwab & Co., Inc
  • Amazon Web Services, Inc.
  • Genpact
  • Infosys Limited
  • International Business Machines Corporation
  • IPsoft Inc.
  • Lexalytics
  • Narrative Science
  • Next IT Corp.
  • S&P Global
  • Salesforce.com, Inc.

(Note: The list of the major players will be updated with the latest market scenario and trends)

AI In Asset Management Market Segmentation:
By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Others

By Application

  • Portfolio Optimization
  • Conversational Platform
  • Risk & Compliance
  • Data Analysis
  • Process Automation
  • Others

Deployment Mode

  • Cloud
  • On-premises

By Vertical

  • BFSI
  • Healthcare
  • Retail & E-commerce
  • Energy & Utilities
  • Media & Entertainment
  • Automotive
  • Others

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

AI In Asset Management Market Competitive Analysis:

  • Tier-1 Players
  • Tier-2 Players
  • Emerging Players
  • New Entrants

Future Market Analytics Focus Points:

  • SWOT Analysis
  • Key Market Trends
  • Key Data -Points Affecting Market Growth
  • Revenue and Forecast Analysis
  • Growth Opportunities For New Entrants and Emerging Players
  • Key Player and Market Growth Matrix

Objectives of the Study:

  • To provide a comprehensive analysis on the AI In Asset Management Market by technology, by deployment mode, by application, by vertical and by region
  • To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)
  • To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa
  • To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

 
In case of any requirements or changes to the current table of content please contact us at:enquiry@futuremarketanalytics.com

Description

1. Market Introduction
    1.1. Objectives of the Study
    1.2. Market Definition
    1.3. Market Scope
         1.3.1 Years Considered for the Study
         1.3.2 Market Covered
    1.4. Currency
    1.5. Limitations
    1.6. Stakeholders

2. Research Methodology
    2.1. Research Data
         2.1.1. Secondary Data
                2.1.1.1. Key Data from Secondary Sources
         2.1.2. Primary Data
                2.1.2.1. Key Data from Primary Sources
    2.2. Market Size Estimation
    2.3. Market Breakdown and Data Triangulation
    2.4. Assumptions for the Study

3. Executive Summary
    3.1. Market Outlook
    3.2. Segment Outlook
    3.3. Competitive Insights

4. Market Variables, Trends & Scope
    4.1. Market Lineage Outlook
    4.2. Penetration and Growth Prospect Mapping
    4.3. Industry Value Chain Analysis
    4.4. Cost Analysis Breakdown
    4.5. Technology Overview
    4.6. Regulatory Framework on Country Level
         4.6.1. Reimbursement Framework
         4.6.2. Standards and Compliances

5. Market Overview
    5.1. Market Dynamics
         5.1.1. Market Driver Analysis
         5.1.2. Market Restraint Analysis
         5.1.3. Industry Challenges

6. Market Analysis Tools
    6.1. Industry Analysis – Porter’s
         6.1.1. Supplier Power
         6.1.2. Buyer Power
         6.1.3. Substitution Threat
         6.1.4. Threat from new entrants
         6.1.5. Competitive Rivalry
    6.2. Pestel Analysis
         6.2.1. Political Landscape
         6.2.2. Environmental Landscape
         6.2.3. Social landscape
         6.2.4. Technology landscape
         6.2.5. Legal Landscape

7. AI In Asset Management Market, By Technology Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    7.1. Machine Learning
    7.2. Natural Language Processing (NLP)
    7.3. Others

8. AI In Asset Management Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Portfolio Optimization
    8.2. Conversational Platform
    8.2. Risk & Compliance
    8.2. Data Analysis
    8.2. Process Automation
    8.2. Others

9. AI In Asset Management Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    9.1. Cloud
    9.2. On-Premises

10. AI In Asset Management Market, By Vertical Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. BFSI
    10.2. Healthcare
    10.2. Retail & E-commerce
    10.2. Energy & Utilities
    10.2. Media & Entertainment
    10.2. Automotive
    10.2. Others

11. North America Market Analysis 2016–2020 and Forecast 2021-2028 (USD Million)
    11.1. Introduction
    11.2. Historical Market Size (USD Mn) Analysis By Country, 2016–2020
         11.2.1. U.S.
         11.2.2. Canada
         11.2.3. Mexico
         11.2.4. Rest of North America
    11.3. Market Size (USD Mn) Forecast for North America 2021-2028

12. Latin America Market Analysis 2016–2020 and Forecast 2021-2028 (USD Million)
    12.1. Introduction
    12.2. Regional Market Trends
    12.3. Historical Market Size (USD Mn) Analysis By Country, 2016–2020
         12.3.1. Brazil
         12.3.2. Venezuela
         12.3.2. Argentina
         12.3.3. Rest of Latin America
    12.4 Market Size (USD Mn) Forecast for Latin America 2021-2028

13. Europe Market Analysis 2016–2020 and Forecast 2021-2028 (USD Million)
    13.1. Introduction
    13.2. Historical Market Size (USD Mn) Analysis By Country, 2016–2020
         13.2.1. Germany
         13.2.2. U.K
         13.2.3. France
         13.2.4. Italy
         13.2.5. Switzerland
         13.2.6. Spain
         13.2.7. Russia
         13.2.8. Poland
         13.2.9. Rest of Europe
    13.3. Market Size (USD Mn) Forecast for Europe 2021-2028

14. Asia Pacific Market Analysis 2016–2020 and Forecast 2021-2028 (USD Million)
    14.1. Introduction
    14.2. Historical Market Size (USD Mn) Analysis By Country, 2016–2020
         14.2.1. Japan
         14.2.2. China
         14.2.3. Singapore
         14.2.4. Korea
         14.2.5. India
         14.2.6. Australia and New Zealand
         14.2.7. ASEAN
         14.2.8. Rest of Asia Pacific
    14.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

15. Middle East and Africa Market Analysis 2016–2020 and Forecast 2021-2028 (USD Million)
    15.1. Introduction
    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016–2020
         15.2.1. UAE
         15.2.2. South Africa
         15.2.3. Egypt
         15.2.4. Saudi Arabia
         15.2.5. Rest of MEA
    15.3. Market Size (USD Mn) Forecast for MEA 2021-2028

16. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)
    16.1. BlackRock, Inc.
         16.1.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.1.2. Product Portfolio
         16.1.3. SWOT Analysis
         16.1.4. Financial Overview
         16.1.5. Strategic Overview
    16.2. Microsoft Corporation
         16.2.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.2.2. Product Portfolio
         16.2.3. SWOT Analysis
         16.2.4. Financial Overview
         16.2.5. Strategic Overview
    16.3. CapitalG
         16.3.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.3.2. Product Portfolio
         16.3.3. SWOT Analysis
         16.3.4. Financial Overview
         16.3.5. Strategic Overview
    16.4. Charles Schwab & Co., Inc
         16.4.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.4.2. Product Portfolio
         16.4.3. SWOT Analysis
         16.4.4. Financial Overview
         16.4.5. Strategic Overview
    16.5. Amazon Web Services, Inc.
         16.5.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.5.2. Product Portfolio
         16.5.3. SWOT Analysis
         16.5.4. Financial Overview
         16.5.5. Strategic Overview
    16.6. Genpact
         16.6.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.6.2. Product Portfolio
         16.6.3. SWOT Analysis
         16.6.4. Financial Overview
         16.6.5. Strategic Overview
    16.7. Infosys Limited
         16.7.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.7.2. Product Portfolio
         16.7.3. SWOT Analysis
         16.7.4. Financial Overview
         16.7.5. Strategic Overview
    16.8. International Business Machines Corporation
         16.8.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.8.2. Product Portfolio
         16.8.3. SWOT Analysis
         16.8.4. Financial Overview
         16.8.5. Strategic Overview
    16.9. IPsoft Inc.
         16.9.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.9.2. Product Portfolio
         16.9.3. SWOT Analysis
         16.9.4. Financial Overview
         16.9.5. Strategic Overview
    16.10. Lexalytics
         16.10.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.10.2. Product Portfolio
         16.10.3. SWOT Analysis
         16.10.4. Financial Overview
         16.10.5. Strategic Overview
    16.11. Narrative Science
         16.11.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.11.2. Product Portfolio
         16.11.3. SWOT Analysis
         16.11.4. Financial Overview
         16.11.5. Strategic Overview
    16.12. Next IT Corp.
         16.12.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.12.2. Product Portfolio
         16.12.3. SWOT Analysis
         16.12.4. Financial Overview
         16.12.5. Strategic Overview
    16.13. S&P Global
         16.13.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.13.2. Product Portfolio
         16.13.3. SWOT Analysis
         16.13.4. Financial Overview
         16.13.5. Strategic Overview
    16.14. Salesforce.com, Inc.
         16.14.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.14.2. Product Portfolio
         16.14.3. SWOT Analysis
         16.14.4. Financial Overview
         16.14.5. Strategic Overview
(Note: The list of the major players will be updated with the latest market scenario and trends)

17. Impact of COVID-19
    17.1. Positive influence on the industry
    17.2. The financial disruption of the sector
    17.3. Impact of COVID-19 on emerging companies
    17.4. Significant mandates in the industry regulations initiated by administrations
    17.5. The overall economic slowdown of the developing and developed nations

18. Competitive Intelligence and Competitive Matrix
    18.1. Competitive Intelligence
    18.2. Competitive Matrix

19. Major Deals and Strategic Alliances Analysis
    19.1. Joint ventures
    19.2. Mergers and acquisitions
    19.3. Licensing and partnerships
    19.4. Technology Collaborations
    19.5. Strategic Divestments
    19.6. Market Entry Strategies

20. Relevant Case Studies and Latest News Updates

21. Key Market Takeaway Points from the Market Analysts at Future Market Analytics