1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study


2 RESEARCH METHODOLOGY


3 EXECUTIVE SUMMARY


4 MARKET DYNAMICS
4.1 Market Overview
4.2 Industry Attractiveness - Porter’s Five Force Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Buyers/Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Market Drivers
4.3.1 Growing Internet of Things (IoT) Applications
4.3.2 Need for Advanced Marketing Tools
4.3.3 Growing Adoption of Wearable Devices
4.4 Market Restraints
4.4.1 Privacy Concerns Relating to the Deployment of this Technology
4.4.2 Need for Specialized Hardware
4.5 Technology Snapshot
4.5.1 Machine Learning
4.5.2 Pattern Recognition
4.5.3 Bio Sensors Technology
4.5.4 3D Modelling
4.5.5 Natural Language Processing


5 MARKET SEGMENTATION
5.1 By Software & Services
5.1.1 Software
5.1.1.1 Facial Recognition
5.1.1.2 Speech & Voice Recognition
5.1.1.3 Bio Sensing
5.1.2 Services
5.2 By End-user Vertical
5.2.1 Government
5.2.2 Healthcare
5.2.3 Retail
5.2.4 Entertainment
5.2.5 Transportation
5.2.6 Other End-user Verticals
5.3 Geography
5.3.1 North America
5.3.2 Europe
5.3.3 Asia-Pacific
5.3.4 Rest of the World


6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Affectiva Inc.
6.1.2 Emotient Inc. (Apple Inc.)
6.1.3 Tobii AB
6.1.4 Noldus
6.1.5 Sight Corp.
6.1.6 Realeyes OU
6.1.7 Kairos


7 INVESTMENT ANALYSIS


8 MARKET OPPORTUNITIES AND FUTURE TRENDS