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Europe AI in Asset Management Market by Technology, by Deployment Mode, by Application, by End User, by Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 141 Pages
  • August 2020
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5146641
The Europe AI In Asset Management Market is expected to witness market growth of 39.8% CAGR during the forecast period (2020-2026).

Artificial intelligence is incorporated with the wealth and asset management for numerous purposes, like enhancing the operational efficiency and efficacy, customer interfaces and experience, and also the investment processes. Important applications of AI to raise operational efficiencies such as quality checking, monitoring, and the exception handling of the huge amount of data even in financial instruments. The data quality improvement is of the topmost importance as it diminishes operational risks and also helps in client retention.

Researchers have made remarkable signs of progress in developing the eventual human-machine interaction systems in the past few years. AI is also in capturing audio, text, and imagery data obtained from different public sources and vendor/internal databases by implementing NLP, computer vision, and voice recognition programs. For example, these programs are used for the extraction of data from issuer filings for transcription of analyst conference calls and valuation models. More widespread programs then process the information collected from different sources to make comprehensions into the investment decision-making process. This frequently requires advanced AI techniques, like that of machine learning and deep learning.

With the use of predictive maintenance technologies, these users may gain access into the predictive insights occurring at present and uncover the trends, patterns, and relationships. This further helps in making decisions that are regarding the speed of businesses. Companies might increase speed for getting better decisions along with AI (Artificial Intelligence) powered analytics, which further extracts from insights virtually and any relevant formless data irrespective of format and origin.

Based on Technology, the market is segmented into Machine Learning, Natural Language Processing and Others. Based on Deployment Mode, the market is segmented into On-Premise and Cloud. Based on Application, the market is segmented into Portfolio Optimization, Risk & Compliance, Conversational Platform, Process Automation, Data Analysis and Others. Based on End User, the market is segmented into BFSI, Automotive, Healthcare, Retail & eCommerce, Energy & Utilities, Media & Entertainment and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Genpact Limited, Infosys Limited, Amazon.com, Inc., BlackRock, Inc. (PNC Financial Services Group), IPsoft, Inc., Salesforce.com, Inc., Lexalytics, Inc. and Narrative Science, Inc.

Scope of the Study

Market Segmentation:

By Technology
  • Machine Learning
  • Natural Language Processing
  • Others

By Deployment Mode
  • On-Premise
  • Cloud

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

By End User
  • BFSI
  • Automotive
  • Healthcare
  • Retail & eCommerce
  • Energy & Utilities
  • Media & Entertainment
  • Others

By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Genpact Limited
  • Infosys Limited
  • Amazon.com, Inc.
  • BlackRock, Inc. (PNC Financial Services Group)
  • IPsoft, Inc.
  • Salesforce.com, Inc.
  • Lexalytics, Inc.
  • Narrative Science, Inc.

Unique Offerings from the Publisher
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe AI in Asset Management Market, by Technology
1.4.2 Europe AI in Asset Management Market, by Deployment Mode
1.4.3 Europe AI in Asset Management Market, by Application
1.4.4 Europe AI in Asset Management Market, by End User
1.4.5 Europe AI in Asset Management Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Geographical Expansions
3.2.4 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements : 2016, May – 2020, Sep) Leading Players
Chapter 4. Europe AI In Asset Management Market by Industry Vertical
4.1 Europe BFSI AI In Asset Management Market by Country
4.2 Europe Automotive AI In Asset Management Market by Country
4.3 Europe Healthcare AI In Asset Management Market by Country
4.4 Europe Retail & eCommerce AI In Asset Management Market by Country
4.5 Europe Energy & Utilities AI In Asset Management Market by Country
4.6 Europe Media & Entertainment AI In Asset Management Market by Country
4.7 Europe Other Industry Vertical AI In Asset Management Market by Country
Chapter 5. Europe AI In Asset Management Market by Technology
5.1 Europe AI In Asset Management Machine Learning Market by Country
5.2 Europe AI In Asset Management Natural Language Processing Market by Country
5.3 Europe AI In Asset Management Others Market by Country
Chapter 6. Europe AI In Asset Management Market by Deployment Mode
6.1 Europe On-Premise AI In Asset Management Market by Country
6.2 Europe Cloud AI In Asset Management Market by Country
Chapter 7. Europe AI In Asset Management Market by Application
7.1 Europe Portfolio Optimization AI In Asset Management Market by Country
7.2 Europe Risk & Compliance AI In Asset Management Market by Country
7.3 Europe Conversational Platform AI In Asset Management Market by Country
7.4 Europe Process Automation AI In Asset Management Market by Country
7.5 Europe Data Analysis AI In Asset Management Market by Country
7.6 Europe Others AI In Asset Management Market by Country
Chapter 8. Europe AI In Asset Management Market by Country
8.1 Germany AI In Asset Management Market
8.1.1 Germany AI In Asset Management Market by Industry Vertical
8.1.2 Germany AI In Asset Management Market by Technology
8.1.3 Germany AI In Asset Management Market by Deployment Mode
8.1.4 Germany AI In Asset Management Market by Application
8.2 UK AI In Asset Management Market
8.2.1 UK AI In Asset Management Market by Industry Vertical
8.2.2 UK AI In Asset Management Market by Technology
8.2.3 UK AI In Asset Management Market by Deployment Mode
8.2.4 UK AI In Asset Management Market by Application
8.3 France AI In Asset Management Market
8.3.1 France AI In Asset Management Market by Industry Vertical
8.3.2 France AI In Asset Management Market by Technology
8.3.3 France AI In Asset Management Market by Deployment Mode
8.3.4 France AI In Asset Management Market by Application
8.4 Russia AI In Asset Management Market
8.4.1 Russia AI In Asset Management Market by Industry Vertical
8.4.2 Russia AI In Asset Management Market by Technology
8.4.3 Russia AI In Asset Management Market by Deployment Mode
8.4.4 Russia AI In Asset Management Market by Application
8.5 Spain AI In Asset Management Market
8.5.1 Spain AI In Asset Management Market by Industry Vertical
8.5.2 Spain AI In Asset Management Market by Technology
8.5.3 Spain AI In Asset Management Market by Deployment Mode
8.5.4 Spain AI In Asset Management Market by Application
8.6 Italy AI In Asset Management Market
8.6.1 Italy AI In Asset Management Market by Industry Vertical
8.6.2 Italy AI In Asset Management Market by Technology
8.6.3 Italy AI In Asset Management Market by Deployment Mode
8.6.4 Italy AI In Asset Management Market by Application
8.7 Rest of Europe AI In Asset Management Market
8.7.1 Rest of Europe AI In Asset Management Market by Industry Vertical
8.7.2 Rest of Europe AI In Asset Management Market by Technology
8.7.3 Rest of Europe AI In Asset Management Market by Deployment Mode
8.7.4 Rest of Europe AI In Asset Management Market by Application
Chapter 9. Company Profiles
9.1 IBM Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Regional & Segmental Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Microsoft Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.5.3 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Genpact Limited
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Recent strategies and developments:
9.3.4.1 Partnerships, Collaborations, and Agreements:
9.3.4.2 Product Launches and Product Expansions:
9.3.4.3 Acquisition and Mergers:
9.3.5 SWOT Analysis
9.4 Infosys Limited
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expense
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.6 SWOT Analysis
9.5 Amazon.com, Inc.
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Recent strategies and developments:
9.5.4.1 Partnerships, Collaborations, and Agreements:
9.5.4.2 Product Launches and Product Expansions:
9.5.5 SWOT Analysis
9.6 BlackRock, Inc. (PNC Financial Services Group)
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Recent strategies and developments:
9.6.4.1 Partnerships, Collaborations, and Agreements:
9.6.4.2 Acquisition and Mergers:
9.6.4.3 Geographical Expansions:
9.7 IPsoft, Inc.
9.7.1 Company Overview
9.7.2 Recent strategies and developments:
9.7.2.1 Partnerships, Collaborations, and Agreements:
9.7.2.2 Product Launches and Product Expansions:
9.8 Salesforce.com, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations, and Agreements:
9.8.5.2 Acquisition and Mergers:
9.8.5.3 Product Launches and Product Expansions:
9.8.6 SWOT Analysis
9.9 Lexalytics, Inc.
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Partnerships, Collaborations, and Agreements:
9.9.2.2 Product Launches and Product Expansions:
9.10 Narrative Science, Inc.
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Partnerships, Collaborations, and Agreements:

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Genpact Limited
  • Infosys Limited
  • Amazon.com, Inc.
  • BlackRock, Inc. (PNC Financial Services Group)
  • IPsoft, Inc.
  • Salesforce.com, Inc.
  • Lexalytics, Inc.
  • Narrative Science, Inc.

Methodology

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