Emotion Detection And Recognition (EDR) Market - Growth, Trends, and Forecast (2019 - 2024)

The market is segmented by Software and Services, End-user Vertical, and Geography.

Market Snapshot

emotion detection and recognition edr market
Study Period:

2018-2024

Base Year:

2018

Fastest Growing Market:

Asia Pacific

Largest Market:

North America

CAGR:

40.46%

Key Players:

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Market Overview

The emotion detection and recognition market was valued at USD 12.37 billion in 2018 and is expected to reach a value of USD 91.67 billion by 2024, at a CAGR of 40.46% over the forecast period, 2019 - 2024. Understanding emotions holds significance during the interaction process between humans and machine communication systems. EDR not only improves human and computer interfaces, but also enhances the feedback mechanism actions taken by computers from the users.

  • Though artificial intelligence (AI) is expected to unleash the next wave of digital disruption, the limitation of AI to understand human emotion still remains a challenge. However in the past few years, increased access to data, low-cost computing power, and evolving NLP combined with digital learning is enabling the systems to analyze human emotions.
  • Key influencers of the market are the rising need for better customer experience, as emotional connection also plays a key role along with customer satisfaction, the rising need for a human touch in digital communications (Chatbots), and challenges in language context and facial recognition.
  • The key areas where emotion detection and recognition are expected to gain traction include entertainment (majorly gaming), transportation (autonomous cars), healthcare (various kinds of diagnostics), and retail (to enhance customer experience).

Scope of the Report

Emotion detection and recognition (EDR) is typically identifying human emotion from facial or verbal expression. Now, with the help of AI, NLP, and ML, the machine is made to understand human emotion through various software and act according to it. Various types of software and services are used by different end-user industries to help them understand human emotion in their industry environment without the physical presence of a human being.

 

By Software and Services
Software
Facial Recognition
Speech and Voice Recognition
Bio Sensing
Services
By End-user Vertical
Government
Healthcare
Retail
Entertainment
Transportation
Other End-user Verticals
Geography
North America
Europe
Asia-Pacific
Rest of the World

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Key Market Trends

Growing Adoption of Wearable Devices to Drive the EDR Market

  • The growing adoption of wearable devices, which includes smart watches, fitness bands, smart glasses, and smart textiles will enable the growth of the EDR market.
  • According to the Consumer Technology Association, the sales of smart wearables in the United States reached 49.3 million units in 2018 and earned USD 6.4 billion.
  • High investments in the industry and large industry collaborations are resulting in innovations in wearable technology. 
  • These wearable devices are equipped with biological sensors to monitor the heartbeat and temperature, along with other components, such as microphones and cameras to capture human emotions, such as gestures, body postures, tone of voice, and facial expressions.
  • Wearable devices continuously collect data from these sources and analyze the data to monitor the health and other aspects of the user. Thus, the growing number of wearable devices is expected to drive the growth of the market over the coming years.
  • According to Cisco, the connected wearable device was 325 million in 2016 and expected to reach 1105 million in 2022. This is due to the growing awareness among the people regarding smart devices and technology like IoT that are boosting the market.
emotion detection and recognition edr market

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North America to Dominate the EDR Market

  • North America has the largest share in the market. High investments and growing support from several end-user verticals to provide better services and security are driving the growth of the market in this region.
  • The governments in this region are hosting several R&D activities in the field of EDR. The Feature Extraction and 3D modeling techniques are being used in the North American region and the bio-sensors technology is expected to attain a better growth rate by 2022.
emotion detection and recognition edr market

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Competitive Landscape

The emotion detection and recognition market is consolidated due to a few players accounting for the major market share. Moreover, due to higher investment and demand for skilled technical people, this market entry for new entrants remains challenging. Some of the key players in the market are Affectiva Inc., Emotient Inc. (Apple, Inc.), Tobii AB (Publ), Noldus, Realeyes OU, Kairos.

  • April 2019 - Affectiva announced the close of a USD 26 million funding round to advance its emotion and object detection AI for monitoring vehicle passengers. The funding round was led by automotive supplier Aptiv. Affectiva wants its solution to be incorporated into cameras used in car safety systems to recognize when a driver is happy, sad, drowsy, or frustrated.
  • March 2019 - Tobii unveiled New Eye Tracking Tools and Resources for VR, AR, and PC development. The new developer guides and tools ease eye tracking integration in a variety of important ways, from providing new libraries and APIs for intuitive object mapping and selection to delivering example code and implementation tutorials.

Major Players

  1. Affectiva Inc.
  2. Emotient Inc. (Apple Inc.)
  3. Tobii AB
  4. Noldus
  5. Realeyes OU

* Complete list of players covered available in the table of contents below

emotion detection and recognition edr market

Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Deliverables

    2. 1.2 Study Assumptions

    3. 1.3 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Industry Attractiveness - Porter's Five Forces Analysis

      1. 4.2.1 Bargaining Power of Suppliers

      2. 4.2.2 Bargaining Power of Buyers/Consumers

      3. 4.2.3 Threat of New Entrants

      4. 4.2.4 Threat of Substitute Products

      5. 4.2.5 Intensity of Competitive Rivalry

    3. 4.3 Market Drivers

      1. 4.3.1 Growing Internet of Things (IoT) Applications

      2. 4.3.2 Need for Advanced Marketing Tools

      3. 4.3.3 Growing Adoption of Wearable Devices

    4. 4.4 Market Restraints

      1. 4.4.1 Privacy Concerns Relating to the Deployment of this Technology

      2. 4.4.2 Need for Specialized Hardware

    5. 4.5 Technology Snapshot

      1. 4.5.1 Machine Learning

      2. 4.5.2 Pattern Recognition

      3. 4.5.3 Bio Sensors Technology

      4. 4.5.4 3D Modelling

      5. 4.5.5 Natural Language Processing

  5. 5. MARKET SEGMENTATION

    1. 5.1 By Software and Services

      1. 5.1.1 Software

        1. 5.1.1.1 Facial Recognition

        2. 5.1.1.2 Speech and Voice Recognition

        3. 5.1.1.3 Bio Sensing

      2. 5.1.2 Services

    2. 5.2 By End-user Vertical

      1. 5.2.1 Government

      2. 5.2.2 Healthcare

      3. 5.2.3 Retail

      4. 5.2.4 Entertainment

      5. 5.2.5 Transportation

      6. 5.2.6 Other End-user Verticals

    3. 5.3 Geography

      1. 5.3.1 North America

      2. 5.3.2 Europe

      3. 5.3.3 Asia-Pacific

      4. 5.3.4 Rest of the World

  6. 6. COMPETITIVE LANDSCAPE

    1. 6.1 Company Profiles

      1. 6.1.1 Affectiva Inc.

      2. 6.1.2 Emotient Inc. (Apple Inc.)

      3. 6.1.3 Tobii AB

      4. 6.1.4 Noldus

      5. 6.1.5 Sight Corp.

      6. 6.1.6 Realeyes OU

      7. 6.1.7 Kairos

    2. *List Not Exhaustive
  7. 7. INVESTMENT ANALYSIS

  8. 8. MARKET OPPORTUNITIES AND FUTURE TRENDS

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