資産管理におけるAIのアジア太平洋市場2020-2026:技術別(機械学習、自然言語処理、その他)、展開別、用途別、エンドユーザー別、地域別

【英語タイトル】Asia Pacific AI in Asset Management Market By Technology (Machine Learning, Natural Language Processing and Others), By Deployment Mode (On-Premise and Cloud), By Application (Portfolio Optimization, Risk & Compliance, Conversational Platform, Process Automation, Data Analysis and Others), By End User (BFSI, Automotive, Healthcare, Retail & eCommerce, Energy & Utilities, Media & Entertainment and Others), By Country, Industry Analysis and Forecast, 2020 - 2026

KBV Researchが出版した調査資料(KBV20OCT230)・商品コード:KBV20OCT230
・発行会社(調査会社):KBV Research
・発行日:2020年8月31日
・ページ数:142
・レポート言語:英語
・レポート形式:PDF
・納品方法:Eメール
・調査対象地域:中国、日本、インド、韓国、シンガポール、マレーシア
・産業分野:技術&IT
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本市場調査レポートでは、資産管理におけるAIのアジア太平洋市場について、市場範囲・調査手法、市場概要、競争分析、技術別(機械学習、自然言語処理、その他)分析、展開別分析、用途別分析、エンドユーザー別分析、地域別分析、企業概要などを総合的、多面的に調査・分析しました。
・市場範囲・調査手法
・市場概要
・競争分析
・資産管理におけるAIのアジア太平洋市場規模:技術別(機械学習、自然言語処理、その他)
・資産管理におけるAIのアジア太平洋市場規模:展開別
・資産管理におけるAIのアジア太平洋市場規模:用途別
・資産管理におけるAIのアジア太平洋市場規模:エンドユーザー別
・資産管理におけるAIのアジア太平洋市場規模:地域別
・企業概要
【レポートの概要】

The Asia Pacific AI In Asset Management Market would witness market growth of 44% CAGR during the forecast period (2020-2026).

From the past few years, financial institutions are implementing artificial intelligence (AI) technology in order to manage their financial assets and minimizing the operating cost, thus growing the revenue. Numerous banks and fintech companies are swiftly deploying voice chatbots and assistants to manage the interactions with the customer and try to resolve issues (queries) with the least human involvement. Machine learning, speech recognition, and computer vision technologies are currently in demand, and the majority of acquisitions in the past few years were accompanied by these technologies. The same technologies will lead the investment patterns in the forecast period.

The main areas in which AI is deployed in financial assets management embrace personal financial management, fraud detection, and investment banking. The financial institutions can effectively manage their financial assets with the use of financial asset management, and it is also beneficial in meeting the expectations of the changing behavior of the customers by leveraging these technologies, such as AI, machine learning, and predictive analytics. This will help the organizations in automation and improves business processes, thus resulting in enhanced customer experience.

Artificial intelligence (AI) has proven to have a potential impact on the wealth and assets management industry from the past few decades. For example, AI-enabled solutions such as Chabot or conversational platforms that have enhanced interactions with the customers and related services. Fintech organizations in the Business-to-Consumer (B2C) domain, offer the end-use industries with an extensive range of AI-supported advisor services that promote the automated investment decisions. Though, the applications of AI in Business-to-Business (B2B) markets, like fixed-income asset management, currently rely on more on traditional data processing that is based on human interactions.
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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers theanalysis 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
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific

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 KBV Research
• 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

【レポートの目次】

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific AI in Asset Management Market, by Technology
1.4.2 Asia Pacific AI in Asset Management Market, by Deployment Mode
1.4.3 Asia Pacific AI in Asset Management Market, by Application
1.4.4 Asia Pacific AI in Asset Management Market, by End User
1.4.5 Asia Pacific 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 KBV 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. Asia Pacific AI In Asset Management Market by Industry Vertical
4.1 Asia Pacific BFSI AI In Asset Management Market by Country
4.2 Asia Pacific Automotive AI In Asset Management Market by Country
4.3 Asia Pacific Healthcare AI In Asset Management Market by Country
4.4 Asia Pacific Retail & eCommerce AI In Asset Management Market by Country
4.5 Asia Pacific Energy & Utilities AI In Asset Management Market by Country
4.6 Asia Pacific Media & Entertainment AI In Asset Management Market by Country
4.7 Asia Pacific Other Industry Vertical AI In Asset Management Market by Country
Chapter 5. Asia Pacific AI In Asset Management Market by Technology
5.1 Asia Pacific AI In Asset Management Machine Learning Market by Country
5.2 Asia Pacific AI In Asset Management Natural Language Processing Market by Country
5.3 Asia Pacific AI In Asset Management Others Market by Country
Chapter 6. Asia Pacific AI In Asset Management Market by Deployment Mode
6.1 Asia Pacific On-Premise AI In Asset Management Market by Country
6.2 Asia Pacific Cloud AI In Asset Management Market by Country
Chapter 7. Asia Pacific AI In Asset Management Market by Application
7.1 Asia Pacific Portfolio Optimization AI In Asset Management Market by Country
7.2 Asia Pacific Risk & Compliance AI In Asset Management Market by Country
7.3 Asia Pacific Conversational Platform AI In Asset Management Market by Country
7.4 Asia Pacific Process Automation AI In Asset Management Market by Country
7.5 Asia Pacific Data Analysis AI In Asset Management Market by Country
7.6 Asia Pacific Others AI In Asset Management Market by Country
Chapter 8. Asia Pacific AI In Asset Management Market by Country
8.1 China AI In Asset Management Market
8.1.1 China AI In Asset Management Market by Industry Vertical
8.1.2 China AI In Asset Management Market by Technology
8.1.3 China AI In Asset Management Market by Deployment Mode
8.1.4 China AI In Asset Management Market by Application
8.2 Japan AI In Asset Management Market
8.2.1 Japan AI In Asset Management Market by Industry Vertical
8.2.2 Japan AI In Asset Management Market by Technology
8.2.3 Japan AI In Asset Management Market by Deployment Mode
8.2.4 Japan AI In Asset Management Market by Application
8.3 India AI In Asset Management Market
8.3.1 India AI In Asset Management Market by Industry Vertical
8.3.2 India AI In Asset Management Market by Technology
8.3.3 India AI In Asset Management Market by Deployment Mode
8.3.4 India AI In Asset Management Market by Application
8.4 South Korea AI In Asset Management Market
8.4.1 South Korea AI In Asset Management Market by Industry Vertical
8.4.2 South Korea AI In Asset Management Market by Technology
8.4.3 South Korea AI In Asset Management Market by Deployment Mode
8.4.4 South Korea AI In Asset Management Market by Application
8.5 Singapore AI In Asset Management Market
8.5.1 Singapore AI In Asset Management Market by Industry Vertical
8.5.2 Singapore AI In Asset Management Market by Technology
8.5.3 Singapore AI In Asset Management Market by Deployment Mode
8.5.4 Singapore AI In Asset Management Market by Application
8.6 Malaysia AI In Asset Management Market
8.6.1 Malaysia AI In Asset Management Market by Industry Vertical
8.6.2 Malaysia AI In Asset Management Market by Technology
8.6.3 Malaysia AI In Asset Management Market by Deployment Mode
8.6.4 Malaysia AI In Asset Management Market by Application
8.7 Rest of Asia Pacific AI In Asset Management Market
8.7.1 Rest of Asia Pacific AI In Asset Management Market by Industry Vertical
8.7.2 Rest of Asia Pacific AI In Asset Management Market by Technology
8.7.3 Rest of Asia Pacific AI In Asset Management Market by Deployment Mode
8.7.4 Rest of Asia Pacific 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:



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