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Global Emotion Detection & Recognition Market Size is Projected to Grow from USD 21.6 Billion in 2019 to USD 56.0 Billion by 2024, at a CAGR of 21.0% - ResearchAndMarkets.com

The "Emotion Detection and Recognition Market by Technology (Feature Extraction & 3D Modeling, NLP, ML), Software Tool (Facial Expression Recognition, Speech & Voice Recognition), Application Area, End User, and Region - Global Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.

Rising need for socially intelligent artificial agents that offer assistance to human-computer interaction and growing presence of artificial agents in social environments to drive the overall growth of the emotion detection and recognition market.

Rising need for socially intelligent artificial agents, increasing demand for speech-based biometric systems to enable multifactor authentication, technological advancements across the globe, and the growing need for high operational excellence are expected to enhance the use of emotion detection and recognition solutions across the globe. However, high production costs and integration of new emotion detection and recognition technologies with existing legacy systems are expected to restrain the market growth.

By software tool, the biosensing software tools and apps segment to hold the largest market size in 2019

Biosensing software tools and apps collect human gestures through sensors, such as Electrocardiography (ECG), Electroencephalography (EEG), Electromyography (EMG), eye-tracking sensors, and wearables. These software tools convert the collected inputs into mathematical form and interpret them for various applications, which is used in online learning systems, law enforcement sectors (applications, such as lie-detection and other threat detection), and healthcare. The use of biosensing software tools and apps to analyze growing inputs from the increasing adoption of biosensors, such as wearables, can act as a game changer for this particular market.

By end-user, the industrial segment to register the highest growth rate during the forecast period

The industrial end-user includes big manufacturing giants and heavy industrial equipment manufacturers, such as automobile, chemical industry, real estate, renting and leasing, textile industry, brewing industry, and the energy industry, which consists of the electricity industry, natural gas industry, and the petroleum industry. These end-users deploy emotion detection and recognition software to minimize or restrict fraudulent activities. Emotion detection and recognition software can also be integrated with devices and applications of other automotive industries to have an emotional connect with the users and track the data with emotion sensors to gain a deeper understanding and improve customer experiences.

Asia Pacific to register the highest growth rate during the forecast period

Asia Pacific (APAC) has witnessed an advanced and dynamic adoption of new technologies and is expected to record the highest CAGR in the global emotion detection and recognition market during the forecast period. APAC constitutes major economies, such as China, Japan, and Australia, which are expected to register high growth rates in the emotion detection and recognition market.

End users, such as industrial, commercial, and enterprises are expected to adopt emotion detection and recognition solutions at the highest rate in the region. Companies operating in APAC would benefit from the flexible economic conditions, industrialization-motivated policies of the governments, as well as from the growing digitalization, which is expected to have a significant impact on the business community.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall emotion detection and recognition market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report will also help stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

Key Topics Covered:

1 Introduction

1.1 Objectives of the Study

1.2 Market Definition

1.3 Market Scope

1.4 Years Considered for the Study

1.5 Currency Considered

1.6 Stakeholders

2 Research Methodology

2.1 Research Data

2.2 Market Size Estimation

2.3 Market Forecast

3 Executive Summary

4 Premium Insights

4.1 Attractive Market Opportunities in the Emotion Detection and Recognition Market

4.2 Market Share of Top 3 End Users and Regions, 2019

4.3 Market By Application Area, 2019-2024

4.4 Market By End User, 2019-2024

5 Market Overview and Industry Trends

5.1 Introduction

5.2 Market Dynamics

5.2.1 Drivers

5.2.2 Restraints

5.2.3 Opportunities

5.2.4 Challenges

5.3 Principles of Measuring Emotions

5.4 Use Cases

6 Emotion Detection and Recognition Market, By Technology

6.1 Introduction

6.2 Feature Extraction and 3D Modeling

6.3 Biosensors Technology

6.4 Natural Language Processing

6.5 Machine Learning

6.6 Other Technologies

7 Emotion Detection and Recognition Market, By Software Tool

7.1 Introduction

7.2 Facial Expression Recognition

7.3 Biosensing Tools and Apps

7.4 Speech and Voice Recognition

7.5 Gesture and Posture Recognition

8 Emotion Detection and Recognition Market, By Application Area

8.1 Introduction

8.2 Medical Emergency

8.3 Marketing and Advertising

8.4 Law Enforcement, Surveillance, and Monitoring

8.5 Entertainment and Consumer Electronics

8.6 Other Application Areas

9 Emotion Detection and Recognition Market, By End User

9.1 Introduction

9.2 Enterprises

9.3 Defense and Security Agency

9.4 Commercial

9.5 Industrial

9.6 Other End Users

10 Emotion Detection and Recognition Market, By Region

10.1 Introduction

10.2 North America

10.3 Europe

10.4 Asia Pacific

10.5 Rest of the World

11 Competitive Landscape

11.1 Introduction

11.2 Competitive Leadership Mapping

11.3 Competitive Scenario

12 Company Profiles

12.1 Introduction

12.2 Apple (Emotient)

12.3 Google

12.4 Microsoft

12.5 IBM

12.6 Affectiva

12.7 Beyond Verbal

12.8 Noldus Information Technology

12.9 Tobii

12.10 NEC

12.11 Sentiance

12.12 nViso

12.13 Eyesight Technologies

12.14 Ayonix

12.15 Cognitec Systems

12.16 SightCorp

12.17 CrowdEmotion

12.18 Kairos

12.19 Eyeris

12.20 iMotions

12.21 Right to Win

For more information about this report visit https://www.researchandmarkets.com/r/xi5478

View source version on businesswire.com: https://www.businesswire.com/news/home/20200213005614/en/


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