アフェクティブコンピューティングのアジア太平洋市場2020-2026:コンポーネント別(ソフトウェア、ハードウェア)、技術別、エンドユーザー別、地域別

【英語タイトル】Asia Pacific Affective Computing Market By Component (Software and Hardware), By Technology (Touch Based and Touchless), By End User (Healthcare, Media & Entertainment, BFSI, Automotive, IT & Telecom, Retail & E-commerce and Others), By Country, Industry Analysis and Forecast, 2020 - 2026

KBV Researchが出版した調査資料(KBV20OCT231)・商品コード:KBV20OCT231
・発行会社(調査会社):KBV Research
・発行日:2020年8月31日
・ページ数:130
・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、アフェクティブコンピューティング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、コンポーネント別(ソフトウェア、ハードウェア)分析、技術別分析、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
・アフェクティブコンピューティングのアジア太平洋市場規模:コンポーネント別(ソフトウェア、ハードウェア)
・アフェクティブコンピューティングのアジア太平洋市場規模:技術別
・アフェクティブコンピューティングのアジア太平洋市場規模:エンドユーザー別
・アフェクティブコンピューティング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 Affective Computing Market would witness market growth of 38.5% CAGR during the forecast period (2020-2026).

Affective computing is being utilized over a horde of end-use enterprises to check the emotional conditions of clients and examine how these emotional states can impact the purchasing and selling choices. The expanding pace of crime and terrorism has especially expanded the adoption of Affective computing for security and surveillance purposes. The developing fame of smart devices and wearables among people also looks good for the development of the market.

The Asia Pacific is home to developing economies, for example, India and China. In addition, a few nations in the region are seeking different initiatives for electronic ID generation of their respective residents. For example, initiatives such as the UIDAI venture in India and the e-KTP venture in Indonesia, are opening new open doors for the acceptance of affective computing in the region. On the other hand, the developing popularity of smartwatches and smart wearable gadgets in China is inspiring significant market players to reinforce their footprint in the Asia Pacific. Affective computing is widely utilized by law requirement organizations for investigation purposes.

Facial recognition ensures a significant level of safety and has henceforth been increasing wide acknowledgment in recent years. Facial recognition uses an associated camera or a digital camera to distinguish the faces in the captured pictures and contrast the characteristics of those faces with those available in the database. Authorities are especially utilizing facial recognition to confirm the tourist’s identity, especially in air terminals. Agencies of Law enforcement are utilizing facial recognition to filter faces trapped in the surveillance cameras to find the targeted individual. The developing need for an elevated level of safety and security and the ability of facial recognition technology to give the equivalent is anticipated to drive the development of the market over the forecast period.

Based on Component, the market is segmented into Software and Hardware. Software segment is further classified across Speech Recognition, Enterprise Software, Face Recognition, Analytics Software and Others. Hardware segment is further segmented into Sensors, Storage Devices & Processors and Cameras & Others. Based on Technology, the market is segmented into Touch Based and Touchless. Based on End User, the market is segmented into Healthcare, Media & Entertainment, BFSI, Automotive, IT & Telecom, Retail & E-commerce 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, Google, Inc., Apple, Inc., Qualcomm, Inc., Elliptic Laboratories A/S, Congnitec Systems GmbH, GestureTek, Inc., Eyesight Technologies Ltd., and Vocalis Health.

Scope of the Study
Market Segmentation:

By Component
• Software
o Speech Recognition
o Enterprise Software
o Face Recognition
o Analytics Software
o Others
• Hardware
o Sensors
o Storage Devices & Processors
o Cameras & Others

By Technology
• Touch Based
• Touchless

By End User
• Healthcare
• Media & Entertainment
• BFSI
• Automotive
• IT & Telecom
• Retail & E-commerce
• Others

By Country
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific

Companies Profiled
• IBM Corporation
• Microsoft Corporation
• Google, Inc.
• Apple, Inc.
• Qualcomm, Inc.
• Elliptic Laboratories A/S
• Congnitec Systems GmbH
• GestureTek, Inc.
• Eyesight Technologies Ltd.
• Vocalis Health

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【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 Affective Computing Market, by Component
1.4.2 Asia Pacific Affective Computing Market, by Technology
1.4.3 Asia Pacific Affective Computing Market, by End User
1.4.4 Asia Pacific Affective Computing 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 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, Jun) Leading Players
Chapter 4. Asia Pacific Affective Computing Market by Component
4.1 Asia Pacific Affective Computing Software Market by Country
4.2 Asia Pacific Affective Computing Market by Software Type
4.2.1 Asia Pacific Speech Recognition Affective Computing Market by Country
4.2.2 Asia Pacific Enterprise Software Affective Computing Market by Country
4.2.3 Asia Pacific Face Recognition Affective Computing Market by Country
4.2.4 Asia Pacific Analytics Software Affective Computing Market by Country
4.2.5 Asia Pacific Other Software Type Affective Computing Market by Country
4.3 Asia Pacific Affective Computing Hardware Market by Country
4.4 Asia Pacific Affective Computing Market by Hardware Type
4.4.1 Asia Pacific Affective Computing Sensors Market by Country
4.4.2 Asia Pacific Affective Computing Storage Devices & Processors Market by Country
4.4.3 Asia Pacific Affective Computing Cameras & Others Market by Country
Chapter 5. Asia Pacific Affective Computing Market by Technology
5.1 Asia Pacific Touch Based Affective Computing Market by Country
5.2 Asia Pacific Touchless Affective Computing Market by Country
Chapter 6. Asia Pacific Affective Computing Market by End Use
6.1 Asia Pacific Healthcare Affective Computing Market by Country
6.2 Asia Pacific Media & Entertainment Affective Computing Market by Country
6.3 Asia Pacific BFSI Affective Computing Market by Country
6.4 Asia Pacific Automotive Affective Computing Market by Country
6.5 Asia Pacific IT & Telecom Affective Computing Market by Country
6.6 Asia Pacific Retail & E-commerce Affective Computing Market by Country
6.7 Asia Pacific Others Affective Computing Market by Country
Chapter 7. Asia Pacific Affective Computing Market by Country
7.1 China Affective Computing Market
7.1.1 China Affective Computing Market by Component
7.1.1.1 China Affective Computing Market by Software Type
7.1.1.2 China Affective Computing Market by Hardware Type
7.1.2 China Affective Computing Market by Technology
7.1.3 China Affective Computing Market by End Use
7.2 Japan Affective Computing Market
7.2.1 Japan Affective Computing Market by Component
7.2.1.1 Japan Affective Computing Market by Software Type
7.2.1.2 Japan Affective Computing Market by Hardware Type
7.2.2 Japan Affective Computing Market by Technology
7.2.3 Japan Affective Computing Market by End Use
7.3 India Affective Computing Market
7.3.1 India Affective Computing Market by Component
7.3.1.1 India Affective Computing Market by Software Type
7.3.1.2 India Affective Computing Market by Hardware Type
7.3.2 India Affective Computing Market by Technology
7.3.3 India Affective Computing Market by End Use
7.4 South Korea Affective Computing Market
7.4.1 South Korea Affective Computing Market by Component
7.4.1.1 South Korea Affective Computing Market by Software Type
7.4.1.2 South Korea Affective Computing Market by Hardware Type
7.4.2 South Korea Affective Computing Market by Technology
7.4.3 South Korea Affective Computing Market by End Use
7.5 Singapore Affective Computing Market
7.5.1 Singapore Affective Computing Market by Component
7.5.1.1 Singapore Affective Computing Market by Software Type
7.5.1.2 Singapore Affective Computing Market by Hardware Type
7.5.2 Singapore Affective Computing Market by Technology
7.5.3 Singapore Affective Computing Market by End Use
7.6 Malaysia Affective Computing Market
7.6.1 Malaysia Affective Computing Market by Component
7.6.1.1 Malaysia Affective Computing Market by Software Type
7.6.1.2 Malaysia Affective Computing Market by Hardware Type
7.6.2 Malaysia Affective Computing Market by Technology
7.6.3 Malaysia Affective Computing Market by End Use
7.7 Rest of Asia Pacific Affective Computing Market
7.7.1 Rest of Asia Pacific Affective Computing Market by Component
7.7.1.1 Rest of Asia Pacific Affective Computing Market by Software Type
7.7.1.2 Rest of Asia Pacific Affective Computing Market by Hardware Type
7.7.2 Rest of Asia Pacific Affective Computing Market by Technology
7.7.3 Rest of Asia Pacific Affective Computing Market by End Use
Chapter 8. Company Profiles
8.1 IBM Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Regional & Segmental Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.6 SWOT Analysis
8.2 Microsoft Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent strategies and developments:
8.2.5.1 Product Launches and Product Expansions:
8.2.5.2 Acquisition and Mergers:
8.2.6 SWOT Analysis
8.3 Google, Inc.
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Product Launches and Product Expansions:
8.3.6 SWOT Analysis
8.4 Apple, Inc.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Product and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments:
8.4.5.1 Acquisition and Mergers:
8.4.6 SWOT Analysis
8.5 Qualcomm, Inc.
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 Recent strategies and developments:
8.5.5.1 Partnerships, Collaborations, and Agreements:
8.5.6 SWOT Analysis
8.6 Elliptic Laboratories A/S
8.6.1 Company Overview
8.6.2 Recent strategies and developments:
8.6.2.1 Partnerships, Collaborations, and Agreements:
8.7 Cognitec Systems GmbH
8.7.1 Company Overview
8.7.2 Recent strategies and developments:
8.7.2.1 Product Launches and Product Expansions:
8.8 GestureTek, Inc.
8.8.1 Company Overview
8.9 Eyesight Technologies Ltd.
8.9.1 Company Overview
8.9.2 Recent strategies and developments:
8.9.2.1 Partnerships, Collaborations, and Agreements:
8.10. Vocalis Health
8.10.1 Company Overview
8.10.2 Recent strategies and developments:
8.10.2.1 Product Launches and Product Expansions:



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