HOME Top Market Reports Emotion Detection and Recognition Market by Technology (Bio-Sensors, NLP, Machine Learning, and Others), Software Tools (Facial Expression, Voice Recognition and Others), Services, Application Areas, End Users,and Regions - Global forecast to 2020

Emotion Detection and Recognition Market by Technology (Bio-Sensors, NLP, Machine Learning, and Others), Software Tools (Facial Expression, Voice Recognition and Others), Services, Application Areas, End Users,and Regions - Global forecast to 2020

By: marketsandmarkets.com
Publishing Date: January 2016
Report Code: TC 4016

 

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The emotion detection and recognition market has grown considerably over the past few years and is expected to grow further with increasing demand and day-to-day technological changes. The major areas of opportunities for this technology include feature extraction and 3D modelling, bio-sensors, pattern recognition, NLP, machine learning, and others. Increasing customer awareness and tremendous technology implementation in the developing geographic regions, such as APAC and RoW, have also poised the growth of the emotion detection and recognition technology. The overall market has been segmented by technology, software tool, service, application area, and end user. This study has been done on a global level, broadly covering four regions, namely, North Americas, Europe, APAC, and RoW. The overall market is expected to grow from USD 5.66 Billion in 2015 to USD 22.65 Billion by 2020, at a CAGR of 31.9%.

The emotion detection and recognition technology market is segmented on the basis of systems and technology, services, software tools, application areas, and end users.

  • Estimated Year - 2015
  • Projected Year – 2020
  • Forecast Period – 2015 to 2020

For company profiles in the report, 2014 has been considered as the base year.

The rapidly growing market for emotion detection and recognition technology is expected to influence affective computing thereby considerably increasing market competitiveness. Moreover, technological advancements are expected to increase applications in numerous industry sectors like medical emergency and healthcare, marketing & advertisement, law enforcement & surveillance, entertainment & consumer electronics, and others.

This research study involved the usage of extensive secondary sources, directories, and databases such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource, to identify and collect information useful for this technical, market-oriented, and commercial study of the global market. The primary sources are mainly several industry experts from core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of this industry’s value chain. In-depth interviews were conducted with various primary respondents that include key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, among other experts, to obtain and verify critical qualitative and quantitative information as well as to assess future prospects. The following illustrative figure shows the market research methodology applied in making this report on the global emotion detection and recognition market.

The breakdown of profiles of primary is depicted in the below figure:

Emotion Detection and Recognition Market

Industry Ecosystem

Some of the key software vendors in the market ecosystem that offer major Emotion recognition software mapped to key product offering are given below:

  • Facial Expression Recognition: Emotient, Affectiva, nViso, Eyeris, Kairos AR, RealEyes, Sightcorp, Noldus Information Technology, Tobii, Crowd Emotions
  • Biosensing Tools and Apps: Emotient, Sentiance, Noldus Information Technology, Xovia, Tobii.
  • Speech & Voice Recognition: Emospeech, BeyondVerbal, Good Vibrations.

Key Target Audience

  • Enterprise users
  • Defense and Security Agencies
  • Commercial users
  • Industrial users
  • Others (personal users)

Report Scope

The report scope covers the following submarkets of Emotion Detection and Recognition Technology Market:

  • By Technology

    The following technologies are included in the report with detailed market size and analysis.

    • Feature extraction and 3-D modelling
    • Bio-sensors technology (ECG, EEG, EMG, GSR, eye tracking, wearable)
    • Pattern Recognition
    • Natural Language Processing (NLP)
    • Machine Learning
    • Other (Records management technology, big data analytics, and middleware tech)
  • By Software Tool

    The report includes the following software tools and forecast with detailed analysis

    • Facial expression recognition
    • Bio-sensing software tools and apps
    • Speech and voice recognition
  • By Service

    The following services play a major role in emotion detection and recognition technology

    • Storage and Maintenance
    • Consulting and Integration
  • By Application Area

    Detailed statistics and further elaboration about application areas

    • Medical Emergency and Healthcare
    • Marketing and advertisement
    • Law Enforcement, Surveillance, and Monitoring
    • Entertainment and Consumer Electronics
    • Other (Robotics and e-learning)
  • By End User

    Various end users using the emotion detection and recognition technology and their market size.

    • Enterprises
    • Defense and Security agencies
    • Commercial
    • Industrial
    • Others ( Personal users)

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix which gives a detailed comparison of product portfolio of each company

Geographic Analysis

  • Further breakdown of the North Americas market
  • Further breakdown of the Europe market
  • Further breakdown of the APAC market
  • Further breakdown of the RoW market

Table of Contents

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


List of Tables (79 Tables)

Table 1 Global Emotion Detection and Recognition Market Size, 2013–2020 (USD Million)
Table 2 Emerging Applications for End Users
Table 3 Market Size, By Technology, 2013–2020 (USD Million)
Table 4 Facial Extraction and 3D Modelling: Market Size, By Application Area, 2013–2020 (USD Million)
Table 5 Facial Extraction and 3D Modelling: Market Size, By End User, 2013–2020 (USD Million)
Table 6 Facial Extraction and 3D Modelling: Market Size, By Region, 2013–2020 (USD Million)
Table 7 Biosensors: Market Size, By Application Area, 2013–2020 (USD Million)
Table 8 Biosensors: Market Size, By End User, 2013–2020 (USD Million)
Table 9 Biosensors: Market Size, By Region, 2013–2020 (USD Million)
Table 10 Pattern Recognition: Market Size, By Application Area, 2013–2020 (USD Million)
Table 11 Pattern Recognition: Market Size, By End User, 2013–2020 (USD Million)
Table 12 Pattern Recognition: Market Size, By Region, 2013–2020 (USD Million)
Table 13 NLP: Market Size, By Application Area, 2013–2020 (USD Million)
Table 14 NLP: Market Size, By End Users, 2013–2020 (USD Million)
Table 15 NLP: Market Size, By Region, 2013–2020 (USD Million)
Table 16 Machine Learning: Market Size, By Application Area, 2013–2020 (USD Million)
Table 17 Machine Learning: Market Size, By End Users, 2013–2020 (USD Million)
Table 18 Machine Learning: Market Size, By Region, 2013–2020 (USD Million)
Table 19 Other Technologies: Market Size, By Application Area, 2013–2020 (USD Million)
Table 20 Other Technologies: Market Size, By End Users, 2013–2020 (USD Million)
Table 21 Other Technologies: Market Size, By Region, 2013–2020 (USD Million)
Table 22 Emotion Detection and Recognition Market Size, By Software Tool, 2013–2020 (USD Million)
Table 23 Facial Expression Recognition: Market Size, By Application Area, 2013–2020 (USD Million)
Table 24 Facial Expression Recognition: Market Size, By End User, 2013–2020 (USD Million)
Table 25 Facial Expression Recognition: Market Size, By Region, 2013–2020 (USD Million)
Table 26 Biosensing Software Tools and Apps: Market Size, By Application Area, 2013–2020 (USD Million)
Table 27 Bio Sensing Software Tools and Apps: Market Size, By End User, 2013–2020 (USD Million)
Table 28 Bio Sensing Software Tools and Apps: Market Size, By Region, 2013–2020 (USD Million)
Table 29 Speech and Voice Recognition: Market Size, By Application Area, 2013–2020 (USD Million)
Table 30 Speech and Voice Recognition: Market Size, By End User, 2013–2020 (USD Million)
Table 31 Speech and Voice Recognition: Market Size, By Region, 2013–2020 (USD Million)
Table 32 Emotion Detection and Recognition Market Size, By Service, 2013–2020 (USD Million)
Table 33 Storage and Maintenance: Emotion Detection Market Size, By Application Area, 2013-2020 (USD Million)
Table 34 Storage and Maintenance: Market Size, By End User, 2013-2020 (USD Million)
Table 35 Storage and Maintenance: Market Size, By Region, 2013-2020 (USD Million)
Table 36 Consulting and Integration: Market Size, By Application, 2013-2020 (USD Million)
Table 37 Consulting and Integration: Emotion Detection Market Size, By End User, 2013-2020 (USD Million)
Table 38 Consulting and Integration: Market Size, By Region, 2013-2020 (USD Million)
Table 39 Market Size, By Application Area, 2013–2020 (USD Million)
Table 40 Medical Emergency and Healthcare: Emotion Detection Market Size, By Region, 2013-2020 (USD Million)
Table 41 Marketing and Advertising: Market Size, By Region, 2013-2020 (USD Million)
Table 42 Law Enforcement, Surveillance, and Monitoring: Market Size, By Region, 2013-2020 (USD Million)
Table 43 Entertainment and Consumer Electronics: Market Size, By Region, 2013-2020 (USD Million)
Table 44 Others: Market Size, By Region, 2013-2020 (USD Million)
Table 45 Emotion Detection and Recognition Market Size, By End User, 2013–2020 (USD Million)
Table 46 Enterprises: Market Size, By Region, 2013-2020 (USD Million)
Table 47 Defense and Security Agency: Market Size, By Region, 2013-2020 (USD Million)
Table 48 Commercial: Market Size, By Region, 2013-2020 (USD Million)
Table 49 Industrial: Market Size, By Region, 2013-2020 (USD Million)
Table 50 Others: Market Size, By Region, 2013-2020 (USD Million)
Table 51 Emotion Detection and Recognition Market Size, By Region, 2013–2020 (USD Million)
Table 52 North America: Market Size, By Technology, 2013–2020 (USD Million)
Table 53 North America: Market Size, By Software Tool, 2013–2020 (USD Million)
Table 54 North America: Market Size, By Service, 2013–2020 (USD Million)
Table 55 North America: Market Size, By Application Area, 2013–2020 (USD Million)
Table 56 North America: Market Size, By End User, 2013–2020
Table 57 Europe: Market Size, By Technology, 2013–2020 (USD Million)
Table 58 Europe: Market Size, By Software Tool, 2013–2020 (USD Million)
Table 59 Europe: Market Size By Service, 2013–2020 (USD Million)
Table 60 Europe: Market Size, By Application Area, 2013–2020 (USD Million)
Table 61 Europe: Market Size, By End User, 2013–2020 (USD Million)
Table 62 Asia-Pacific : Market Size, By Technology, 2013–2020 (USD Million)
Table 63 Asia-Pacific : Market Size, By Software Tool, 2013–2020 (USD Million)
Table 64 Asia-Pacific : Market Size, By Service, 2013–2020 (USD Million)
Table 65 Asia-Pacific : Market Size, By Application Area, 2013–2020 (USD Million)
Table 66 Asia-Pacific : Market Size, By End User, 2013–2020 (USD Million)
Table 67 Middle East : Market Size, By Technology, 2013–2020 (USD Million)
Table 68 Middle East: Market Size, By Software Tool, 2013–2020 (USD Million)
Table 69 Middle East: Market Size, By Service, 2013–2020 (USD Million)
Table 70 Middle East: Market Size, By Application Area, 2013–2020 (USD Million)
Table 71 Middle East: Market Size, By End User, 2013–2020 (USD Million)
Table 72 RoW : Market Size, By Technology, 2013–2020 (USD Million)
Table 73 RoW : Market Size, By Software Tool, 2013–2020 (USD Million)
Table 74 RoW : Market Size, By Service, 2013–2020 (USD Million)
Table 75 RoW : Market Size, By Application Area, 2013–2020 (USD Million)
Table 76 RoW : Emotion Detection and Recognition Market Size, By End User, 2013–2020 (USD Million)
Table 77 Emotion Recognition Software Mapped to Key Product Offerings
Table 78 Emotion Detection By Application Areas & Key Players in the Market
Table 79 Venture Funding for Key Players in the Market


List of Figures (36 Figures)

Figure 1 Global Emotion Detection and Recognition Market: Research Design
Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
Figure 3 Market Size Estimation Methodology: Top-Down Approach
Figure 4 Market Breakdown and Data Triangulation
Figure 5 Bio-Sensors Technology is Expected to Have the Highest CAGR During the Forecast Period
Figure 6 Facial Expression Recognition Software Tool is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 7 Consulting and Integration Services are Expected to Grow at the Highest CAGR During the Forecast Period
Figure 8 North America is Expected to Exhibit High Adoption of Emotion Detection and Recognition Technology During the Forecast Period
Figure 9 North America is Expected to Hold the Largest Market Share in 2015
Figure 10 Emotion Detection and Recognition Market is Expected to Witness Remarkable Growth Opportunities Backed By Substantial Innovations in Technologies
Figure 11 Upsurge in Application Areas are Expected to Drive the Growth of the Global Market
Figure 12 North America is Expected to Be in High Growth Phase Followed By Europe and APAC
Figure 13 Defense and Security Agencies Expected to Account for the Largest Market in 2015
Figure 14 Market: By Technology
Figure 15 Market: By Software Tool
Figure 16 Market Segmentation: By Service
Figure 17 Emotion Detection and Recognition Segmentation: By Application Area
Figure 18 Emotion Detection and Recognition Segmentation: By End User
Figure 19 Market Segmentation: By Region
Figure 20 Market: Drivers, Restraints, Opportunities, and Challenges
Figure 21 Value Chain of Emotion Detection and Recognition
Figure 22 Emotion Detection and Recognition Market Ecosystem
Figure 23 NLP: the Core of Emotion Detection and Recognition Technology
Figure 24 Feature Extraction and 3D Modelling Technique
Figure 25 Functioning of Biosensors
Figure 26 Functioning of Emotion Detection System Incorporating NLP
Figure 27 Incorporating Machine Learning for Emotion Detection From Audio Input
Figure 28 Facial Expression Recognition to Exhibit Substantial Growth During the Forecast Period
Figure 29 Consulting and Integration Services are Expected to Grow at the Fastest Rate With Increasing Adoption of Emotion Detection and Recognition Technology During the Forecast Period
Figure 30 Medical Emergency and Healthcare Application Area to Exhibit the Highest Growth in the Market
Figure 31 Industrial Users are Increasingly Adopting Emotion Detection and Recognition Technology to Enhance Customer Satisfaction
Figure 32 North America Along With Increasing Investments Across Asia-Pacific and Europe is Driving the Emotion Detection and Recognition Market
Figure 33 North America is One of the Most Attractive Region for Investments
Figure 34 North America is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 35 North America: Market Snapshot
Figure 36 Asia-Pacific: Market Snapshot

The global emotion detection and recognition market is expected to grow from USD 5.66 Billion in 2015 to USD 22.65 Billion by 2020, at a CAGR of 31.9%.Several factors such as rising demand for mapping, especially by the marketing and advertising sector, increasing concerns for security, and growing need for application support during emergency situations has bolstered the growth of emotion detection and recognition systems. Verticals such as banking, defense, commercial security, and many more have contributed toward the growth of the biometrics market.

Currently, due to the increasing rate of cybercrimes and illegal trespassing, the biometric authentication and deception detection systems have gained pace in terms of growth. These developments have cumulatively created an environment for emotion sensing technologies to be embedded within the computing systems for enhanced computing experience, and thereby resulting in better decision making. Technology implementation continues in the area of marketing and advertising campaigns, capturing emotions from customers and providing in-depth analysis.The emotion detection and recognition systems incorporate touch and touchless-based technologies that capture human emotional quotient through unique solution suites, tailored to meet the end users’ environment. The suites comprise a combination of various software tools, such as facial expression recognition, speech & voice recognition, and biosensing software tools and apps for real-time emotion sensing. Natural language processing (NLP) and machine learning accounts for the major areas in the field of emotion detection technology.

Emotion Detection and Recognition Market

Among the regions, North America is expected to have the largest market share and would dominate the market from 2015 to 2020. Correspondingly, during the same period, APAC is expected to showcase a significant growth potential in the emotion detection and recognition market.This is backed by the existence of large population, increasing customer awareness, developing technology hubs, and emerging countries such as China, Japan, South Korea, and India. Moreover, the region has some of the fastest-growing economies in the world, and business organization are continuously evolving and adopting new methods to promote congenial business environments.

However, due to lack of awareness, expertise, and other operational challenges, most of the organizations struggle to optimally utilize the full potential of Emotion Detection and Recognition Technology, as a result significantly hindering the growth of the market. The technological giants such as IBM Watson and Tobii, along with some of the key innovators such as Affectiva, Emotient, Noldus Information Technology, Kairos, RealEyes and others, have created leading Emotion Detection systems and platforms. These players have adopted various growth strategies such as new product launches, partnerships, contracts, collaborations, acquisitions, and expansions to expand their global presence and increase their market shares in the global market.

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