感情検知・認識の世界市場予測（～2021）：技術別（バイオセンサー、NLP、機械学習）、ソフトウェアツール別（表情、音声認識）、サービス別、用途分野別、需要先別、地域別...市場調査レポートについてご紹介

1 Introduction (Page No. – 14)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years Considered for the Study
1.4 Currency
1.5 Stakeholders

2 Research Methodology (Page No. – 17)
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
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Vendor Dive Matrix
2.4.1 Quadrant Description
2.5 Research Assumptions

3 Executive Summary (Page No. – 27)

4 Premium Insights (Page No. – 32)
4.1 Attractive Opportunities in the Market
4.2 Emotion Detection and Recognition Market Snapshot: By Region, 2016–2021
4.3 Lifecycle Analysis, By Region
4.4 Market By Application Area and By End User, 2016

5 Market Overview (Page No. – 35)
5.1 Introduction
5.2 Market Segmentation
5.2.1 By Technology
5.2.2 By Software Tool
5.2.3 By Service
5.2.4 By Application Area
5.2.5 By End User
5.2.6 By Region
5.3 Market Dynamics
5.3.1 Drivers
5.3.1.1 Strong Need to Understand Consumer Behavior
5.3.1.2 Advancements in Enabling Technologies and Robust Data Repository
5.3.1.3 Increasing Adoption of Wearable Technology
5.3.1.4 Increasing Applications in Numerous Industry Sectors
5.3.2 Restraints
5.3.2.1 Misinterpretation in Analysis of Emotions
5.3.3 Opportunities
5.3.3.1 Adoption of Cloud-Based Technology
5.3.3.2 Growing Partnerships and Compatible Market Landscape
5.3.4 Challenges
5.3.4.1 Power Consumption of Wearable Computing Devices
5.3.4.2 Lack of Knowledge and Awareness
5.3.4.3 Technical Challenges

6 Industry Trends (Page No. – 44)
6.1 Introduction
6.2 Value Chain Analysis
6.3 Emerging Technology Areas
6.3.1 E-Learning and Smart Education
6.3.2 E-Therapy
6.3.3 Marketing and Advertising
6.3.4 Surveillance Systems
6.4 Ecosystem

7 Emotion Detection and Recognition Market Analysis, By Technology (Page No. – 48)
7.1 Introduction
7.2 Feature Extraction and 3D Modeling
7.3 Bio-Sensors Technology
7.4 Pattern Recognition
7.5 Natural Language Processing
7.6 Machine Learning
7.7 Others

8 Market Analysis, By Software Tool (Page No. – 63)
8.1 Introduction
8.1.1 Facial Expression Recognition
8.2 Bio-Sensing Software Tools and Apps
8.3 Speech and Voice Recognition

9 Emotion Detection and Recognition Market Analysis, By Service (Page No. – 71)
9.1 Introduction
9.2 Storage and Maintenance
9.3 Consulting and Integration

10 Market Analysis, By Application Area (Page No. – 76)
10.1 Introduction
10.2 Marketing and Advertising
10.3 Law Enforcement, Surveillance, and Monitoring
10.4 Entertainment and Consumer Electronics
10.5 Others

11 Market Analysis, By End User (Page No. – 82)
11.1 Introduction
11.2 Enterprises
11.3 Defense and Security Agency
11.4 Commercial
11.5 Industrial
11.6 Others

12 Geographic Analysis (Page No. – 88)
12.1 Introduction
12.2 North America
12.3 Europe
12.4 Asia-Pacific
12.5 Middle East
12.6 Rest of the World

13 Competitive Landscape (Page No. – 109)
13.1 Overview
13.2 Emotion Detection and Recognition: MnM Dive – Vendor Comparison
13.3 Major Developments

14 Key Innovators (Page No. – 115)
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
14.1 Affectiva
14.2 Beyond Verbal
14.3 Crowdemotion Ltd.
14.4 Emotient, an Apple Company
14.5 Eyeris
14.6 Kairos Ar, Inc.
14.7 Noldus
14.8 Nviso
14.9 Realeyes
14.10 Sentiance
14.11 Sightcorp
14.12 Skybiometry
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
14.13 Industry Excerpts
14.14 Discussion Guide
14.15 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.16 Introducing RT: Real Time Market Intelligence
14.17 Available Customizations
14.18 Related Reports
14.19 Author Details