HOME Top Market Reports Emotion Detection and Recognition Market by Technology (Bio-Sensor, NLP, Machine Learning), Software Tool (Facial Expression, Voice Recognition), Service, Application Area, End User, and Region - Global Forecast to 2021

Emotion Detection and Recognition Market by Technology (Bio-Sensor, NLP, Machine Learning), Software Tool (Facial Expression, Voice Recognition), Service, Application Area, End User, and Region - Global Forecast to 2021

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

 

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MarketsandMarkets estimates the emotion detection and recognition market to grow from USD 6.72 Billion in 2016 to USD 36.07 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 39.9% from 2016 to 2021.

Objectives of the Study:

The main objective of this report is to define, describe, and forecast the emotion detection and recognition market on the basis of segments, which include technologies, services, software tools, application areas, end users, and regions. The report provides detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges). The report attempts to forecast the market size with respect to five main regions, namely, North America, Europe, Asia-Pacific (APAC), the Middle East, and Rest of the World (RoW), which includes Latin America and Southern Africa). The report strategically profiles key players and comprehensively analyzes their core competencies. This report also tracks and analyzes competitive developments such as Mergers and Acquisitions (M&A), new product developments, and Research & Development (R&D) activities in the market.

The research methodology used to estimate and forecast the emotion detection and recognition market begins with collection and analysis of data on key vendor product offerings and business strategy through secondary research such as press releases, investor presentations of companies, conferences and associations such as International Conference on Natural Language Processing and Knowledge Engineering, International Society for Emotional Intelligence, Society of Emotional Intelligence,  white papers, technology journals, certified publications, and articles from recognized authors, directories, and databases. The vendor offerings have also been taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the total market size of the global emotion detection and recognition market from the revenue of the key software tool providers and service providers in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key people, such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and to arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of primary is depicted in the below figure:

Emotion Detection and Recognition Market

To know about the assumptions considered for the study, download the pdf brochure

Industry Ecosystem

Some of the key software vendors in the market ecosystem that offer major emotion recognition software are given below:

  • Facial Expression Recognition: Affectiva (U.S.), Emotient, an Apple Company (U.S.), Eyeris (U.S.), Kairos Ar. Inc. (U.S.), Realeyes (U.K.), Sightcorp, Noldus (Netherlands), Tobii (Sweden), and Crowd Emotion (U.K.)
  • Bio-sensing Tools and Apps: Emotient, an Apple Company (U.S.), Sentiance (Belgium), Noldus (Netherlands), and Tobii (Sweden).
  • Speech and Voice Recognition: Emospeech (U.S.), BeyondVerbal (Israel), and Good Vibrations (Netherlands)

Key Target Audience

  • Enterprise users
  • Defense and security agencies
  • Commercial users  
  • Industrial users
  • Others (personal users)

Scope of the Report

The research report segments the emotion detection and recognition market into the following submarkets:

  • 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.

    • Storage and maintenance
    • Consulting and integration
  • By Application Area

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

    • Medical emergency and healthcare
    • Marketing and advertisement
    • Law enforcement, surveillance, and monitoring
    • Entertainment and consumer electronics
    • Other (robotics and e-learning)
  • By End User

    The report includes the following end users of 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 American emotion detection and recognition market
  • Further breakdown of the European market
  • Further breakdown of the APAC market
  • Further breakdown of the RoW market

Company Information

  • Detailed analysis and profiling of additional market players

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 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


List of Tables (81 Tables)

Table 1 Global Emotion Detection and Recognition Market Size, By Component, 2014–2021 (USD Million)
Table 2 Emotion Detection and Recognition Market Size, By Technology, 2014–2021 (USD Million)
Table 3 Facial Extraction and 3D Modeling: Market Size, By Application Area, 2014–2021 (USD Million)
Table 4 Facial Extraction and 3D Modeling: Market Size, By End User, 2014–2021 (USD Million)
Table 5 Facial Extraction and 3D Modeling: Market Size, By Region, 2014–2021 (USD Million)
Table 6 Bio-Sensors Technology: Market Size, By Application Area, 2014–2021 (USD Million)
Table 7 Bio-Sensors Technology: Market Size, By End User, 2014–2021 (USD Million)
Table 8 Bio-Sensors Technology: Market Size, By Region, 2014–2021 (USD Million)
Table 9 Pattern Recognition: Market Size, By Application Area, 2014–2021 (USD Million)
Table 10 Pattern Recognition: Market Size, By End User, 2014–2021 (USD Million)
Table 11 Pattern Recognition: Market Size, By Region, 2014–2021 (USD Million)
Table 12 Natural Language Processing: Market Size, By Application Area, 2014–2021 (USD Million)
Table 13 Natural Language Processing: Market Size, By End User, 2014–2021 (USD Million)
Table 14 Natural Language Processing: Market Size, By Region, 2014–2021 (USD Million)
Table 15 Machine Learning: Market Size, By Application Area, 2014–2021 (USD Million)
Table 16 Machine Learning: Market Size, By End User, 2014–2021 (USD Million)
Table 17 Machine Learning: Market Size, By Region, 2014–2021 (USD Million)
Table 18 Others: Market Size, By Application Area, 2014–2021 (USD Million)
Table 19 Others: Market Size, By End User, 2014–2021 (USD Million)
Table 20 Others: Market Size, By Region, 2014–2021 (USD Million)
Table 21 Emotion Detection and Recognition Market Size, By Software Tool, 2014–2021 (USD Million)
Table 22 Facial Expression Recognition: Market Size, By Application Area, 2014–2021 (USD Million)
Table 23 Facial Expression Recognition: Market Size, By End User, 2014–2021 (USD Million)
Table 24 Facial Expression Recognition: Market Size, By Region, 2014–2021 (USD Million)
Table 25 Bio-Sensing Software Tools and Apps: Market Size, By Application Area, 2014–2021 (USD Million)
Table 26 Bio-Sensing Software Tools and Apps: Market Size, By End User, 2014–2021 (USD Million)
Table 27 Bio-Sensing Software Tools and Apps: Market Size, By Region, 2014–2021 (USD Million)
Table 28 Speech and Voice Recognition: Market Size, By Application Area, 2014–2021 (USD Million)
Table 29 Speech and Voice Recognition: Market Size, By End User, 2014–2021 (USD Million)
Table 30 Speech and Voice Recognition: Market Size, By Region, 2014–2021 (USD Million)
Table 31 Emotion Detection and Recognition Market Size, By Service, 2014–2021 (USD Million)
Table 32 Storage and Maintenance: Market Size, By Application Area, 2014–2021 (USD Million)
Table 33 Storage and Maintenance: Market Size, By End User, 2014-2021 (USD Million)
Table 34 Storage and Maintenance: Market Size, By Region, 2014-2021 (USD Million)
Table 35 Consulting and Integration: Market Size, By Application Area, 2014-2021 (USD Million)
Table 36 Consulting and Integration: Market Size, By End User, 2014-2021 (USD Million)
Table 37 Consulting and Integration: Market Size, By Region, 2014-2021 (USD Million)
Table 38 Emotion Detection and Recognition Market Size, By Application Area, 2014–2021 (USD Million)
Table 39 Medical Emergency and Healthcare: Market Size, By Region, 2014–2021 (USD Million)
Table 40 Marketing and Advertising: Market Size, By Region, 2014-2021 (USD Million)
Table 41 Law Enforcement, Surveillance, and Monitoring: Market Size, By Region, 2014-2021 (USD Million)
Table 42 Entertainment and Consumer Electronics: Market Size, By Region, 2014-2021 (USD Million)
Table 43 Others: Market Size, By Region, 2014–2021 (USD Million)
Table 44 Emotion Detection and Recognition Market Size, By End User, 2014–2021 (USD Million)
Table 45 Enterprises: Market Size, By Region, 2014–2021 (USD Million)
Table 46 Defense and Security Agency: Market Size, By Region, 2014-2021 (USD Million)
Table 47 Commercial: Market Size, By Region, 2014-2021 (USD Million)
Table 48 Industrial: Market Size, By Region, 2014-2021 (USD Million)
Table 49 Others: Market Size, By Region, 2014-2021 (USD Million)
Table 50 Emotion Detection and Recognition Market Size, By Region, 2014–2021 (USD Million)
Table 51 North America: Emotion Detection and Recognition Market Size, By Technology, 2014–2021 (USD Million)
Table 52 North America: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 53 North America: Market Size, By Service, 2014–2021 (USD Million)
Table 54 North America: Market Size, By Application Area, 2014–2021 (USD Million)
Table 55 North America: Market Size, By End User, 2014–2021
Table 56 Europe: Emotion Detection and Recognition Market Size, By Technology, 2014–2021 (USD Million)
Table 57 Europe: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 58 Europe: Market Size, By Service, 2014–2021 (USD Million)
Table 59 Europe: Market Size, By Application Area, 2014–2021 (USD Million)
Table 60 Europe: Market Size, By End User, 2014–2021 (USD Million)
Table 61 Asia-Pacific: Emotion Detection and Recognition Market Size, By Technology, 2014–2021 (USD Million)
Table 62 Asia-Pacific: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 63 Asia-Pacific: Market Size, By Service, 2014–2021 (USD Million)
Table 64 Asia-Pacific: Market Size, By Application Area, 2014–2021 (USD Million)
Table 65 Asia-Pacific: Market Size, By End User, 2014–2021 (USD Million)
Table 66 Middle East: Emotion Detection and Recognition Market Size, By Technology, 2014–2021 (USD Million)
Table 67 Middle East: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 68 Middle East: Market Size, By Service, 2014–2021 (USD Million)
Table 69 Middle East: Market Size, By Application Area, 2014–2021 (USD Million)
Table 70 Middle East: Market Size, By End User, 2014–2021 (USD Million)
Table 71 Rest of the World: Emotion Detection and Recognition Market Size, By Technology, 2014–2021 (USD Million)
Table 72 Rest of the World: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 73 Rest of the Wold: Market Size, By Service, 2014–2021(USD Million)
Table 74 Rest of the World: Market Size, By Application Area, 2014–2021 (USD Million)
Table 75 Rest of the World: Market Size, By End User, 2014–2021(USD Million)
Table 76 Emotion Recognition Software Mapped to Key Product Offerings
Table 77 Emotion Detection By Application Areas & Key Players in the Market
Table 78 Venture Funding for Key Players in the Emotion Detection and Recognition Market
Table 79 New Product Launches, 2014-2016
Table 80 Mergers and Acquisitions, 2014-2016
Table 81 Partnerships and Collaborations, 2014 – 2016


List of Figures (39 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 Vendor Dive Matrix: Criteria Weightage
Figure 6 Vendor Dive Matrix
Figure 7 Bio-Sensors Technology is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 8 Facial Expression Recognition Segment is Expected to Grow at the Highest CAGR Among Software Tools During the Forecast Period
Figure 9 Consulting and Integration Services Segment is Expected to Grow at the Higher CAGR During the Forecast Period
Figure 10 North America is Expected to Exhibit High Adoption of Emotion Detection and Recognition Technology During the Forecast Period
Figure 11 North America is Expected to Hold the Largest Market Share in 2016
Figure 12 Emotion Detection and Recognition Market is Expected to Witness Remarkable Growth Opportunities Backed By Substantial Innovations in Technologies
Figure 13 North America is Expected to Grow at the Highest CAGR in Global Emotion Detection and Recognition Market in the Forecast Period
Figure 14 North America is Expected to Be in High Growth Phase Followed By Europe and Asia-Pacific
Figure 15 Defense and Security Agency Expected to Account for the Largest Market Share in 2016
Figure 16 Emotion Detection and Recognition Market Segmentation: By Technology
Figure 17 Market Segmentation: By Software Tool
Figure 18 Market Segmentation: By Service
Figure 19 Market Segmentation: By Application Area
Figure 20 Market Segmentation: By End User
Figure 21 Market Segmentation: By Region
Figure 22 Market Drivers, Restraints, Opportunities, and Challenges
Figure 23 Value Chain of Emotion Detection and Recognition
Figure 24 Emotion Detection and Recognition Market Ecosystem
Figure 25 Natural Language Processing Technology is Expected to Hold the Largest Market Share During the Forecast Period
Figure 26 Feature Extraction and 3D Modeling Technique
Figure 27 Functioning of Bio-Sensors
Figure 28 Incorporating Machine Learning for Emotion Detection From Audio Input
Figure 29 Facial Expression Recognition to Exhibit Substantial Growth During the Forecast Period
Figure 30 Consulting and Integration Services Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 31 Medical Emergency and Healthcare Application Area is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 32 Industrial User Segment is Expected to Grow at the Highest CAGR During Forecast Period
Figure 33 North America is Expected to Lead in the Emotion Detection and Recognition Market in Terms of Market Size During the Forecast Period
Figure 34 North America is One of the Most Attractive Regions for Investments During the Forecast Period
Figure 35 North America is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 36 North America Market Snapshot
Figure 37 Asia-Pacific Market Snapshot
Figure 38 Product Offerings Analysis
Figure 39 Business Strategy Analysis

The emotion detection and recognition market is expected to grow from USD 6.72 Billion in 2016 to USD 36.07 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 39.9% during the forecast period. Several factors such as rising demand for sentiment mapping, especially by the marketing and advertising sector, increasing concerns for security, and growing need for application for support during emergency have bolstered the growth of emotion detection and recognition systems. Verticals such as healthcare, banking, defense, commercial security, and many more have boosted the market.

The emotion detection and recognition market is segmented by software tool, service, technology, application area, end user, and region. The consulting and integration services segment is expected to grow at the highest CAGR during the forecast period; consulting & integration in the service type is projected to witness the highest demand due to the high involvement of end users for managing and aligning the solutions according to the organizations’ business needs.

Currently, due to the increasing rate of cybercrimes and illegal trespassing, biometric authentication and deception detection systems have gained traction. These developments have cumulatively created an environment for emotion sensing software to be embedded within computing systems for enhanced computing experience, and thereby resulting in better decision making. Thus, the bio-sensing software tools and apps segment is expected to hold the largest market share in 2016.

The emotion detection and recognition systems incorporate touch and touchless technologies that capture the human emotional quotient through unique solution suites tailored to meet the end users’ environment. The suites comprise a combination of various technologies, such as facial expression recognition, speech & voice recognition, and bio-sensing software tools and apps for real-time emotion sensing. Among these, the Natural Language Processing (NLP) technology is expected to dominate the emotion detection and recognition market contributing the largest market share during the forecast period.

The emotion detection and recognition technology is being increasingly adopted by end users, such as defense and security agencies, commercial, and industrial sector, which has led to the growth of the market across the globe. The industrial user segment is expected to grow at the highest CAGR in the emotion detection and recognition market among all the end users, owing to its higher adoption in automotive industries during the forecast period.

Emotion Detection and Recognition Market

The global market has been segmented on the basis of regions into North America, Europe, Asia-Pacific (APAC), the Middle East, and Rest of the World (RoW), which includes Latin America and Southern Africa, to provide a region-specific analysis in the report. North America is expected to have the largest market share and is expected to dominate the market from 2016 to 2021. This is mainly because in the developed economies of the U.S. and Canada, there is high focus on innovations obtained from research and development and technology.

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. This has been 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 (U.S.), Emotient, an Apple company (U.S.), Noldus (Netherlands), Kairos Ar. Inc. (U.S.), and RealEyes (U.K.) 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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