感情検出および認識の世界市場：バイオセンサー、NLP、機械学習、パターン認識、特徴抽出/3Dモデリング...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 Limitations
1.6 Stakeholders

2 Research Methodology (Page No. – 18)
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 Research Assumptions

3 Executive Summary (Page No. – 26)

4 Premium Insights (Page No. – 30)
4.1 Attractive Market Opportunities in the Market
4.2 Market Geographic Analysis
4.3 Lifecycle Analysis By Region, 2015
4.4 Emotion Detection and Recognition Market, Top Application Areas vs End Users

5 Market Overview (Page No. – 34)
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 Customer 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 Absence of Governing Bodies and Set Regulations
5.3.2.2 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 Congenial Market Landscape
5.3.4 Challenges
5.3.4.1 Power Consumption of Wearable Computing Devices
5.3.4.2 Impact on Businesses Not Yet Fully Analyzed
5.3.4.3 Technical Challenges

6 Industry Trends (Page No. – 42)
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. – 46)
7.1 Introduction
7.2 Feature Extraction and 3D Modelling
7.3 Biosensors Technology
7.4 Pattern Recognition
7.5 Natural Language Processing (NLP)
7.6 Machine Learning
7.7 Other Technologies

8 Emotion Detection and Recognition Market Analysis, By Software Tool (Page No. – 61)
8.1 Introduction
8.2 Facial Expression Recognition
8.3 Biosensing Software Tools and Apps
8.4 Speech and Voice Recognition

9 Emotion Detection and Recognition Market Analysis, By Service (Page No. – 69)
9.1 Introduction
9.2 Storage and Maintenance
9.3 Consulting and Integration

10 Emotion Detection and Recognition Market Analysis, By Application Area (Page No. – 75)
10.1 Introduction
10.2 Medical Emergency and Healthcare
10.3 Marketing and Advertisement
10.4 Law Enforcement, Surveillance, and Monitoring
10.5 Entertainment and Consumer Electronics
10.6 Others

11 Emotion Detection and Recognition Market Analysis, By End User (Page No. – 81)
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. – 87)
12.1 Introduction
12.2 North America
12.3 Europe
12.4 Asia-Pacific (APAC)
12.5 Middle East
12.6 Rest of the World (RoW)

13 Competitive Landscape (Page No. – 106)
13.1 Overview

14 Key Innovators (Page No. – 109)
14.1 Affectiva
14.2 Beyond Verbal Communication Ltd.
14.3 Emotient
14.4 Emospeech
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 Tobii

15 Appendix (Page No. – 116)
15.1 Insights From Industry Experts
15.2 Discussion Guide
15.3 Introducing RT: Real Time Market Intelligence
15.4 Available Customizations
15.5 Related Reports