In this report, LP Information studies the present scenario (with the base year being 2017) and the growth prospects of global Emotion Detection & Recognition (EDR) market for 2018-2023.
Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions.
The increasing demand for wearable devices and increasing penetration of Internet of Things (IoT) are the major determinants of the growth of the global EDR solutions market. Countries, such as China, India, Japan, and South Korea, which have a massive population, are putting extra efforts to implement EDR technology to meet the growing expectations.
Over the next five years, LPI(LP Information) projects that Emotion Detection & Recognition (EDR) will register a xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.
This report presents a comprehensive overview, market shares and growth opportunities of Emotion Detection & Recognition (EDR) market by product type, application, key companies and key regions.
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To calculate the market size, LP Information considers value generated from the sales of the following segments:
Segmentation by product type:
- Software
- Services
Segmentation by application:
- Government
- Healthcare
- Retail
- Entertainment
- Transportation
We can also provide the customized separate regional or country-level reports, for the following regions:
- Americas
- United States
- Canada
- Mexico
- Brazil
- APAC
- China
- Japan
- Korea
- Southeast Asia
- India
- Australia
- Europe
- Germany
- France
- UK
- Italy
- Russia
- Spain
- Middle East & Africa
- Egypt
- South Africa
- Israel
- Turkey
- GCC Countries
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The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
- Affectiva
- Apple
- Tobii AB
- Noldus
- Sightcorp
- Realeyes
- nViso
- Kairos
- Eyeris
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
- To study and analyze the global Emotion Detection & Recognition (EDR) market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
- To understand the structure of Emotion Detection & Recognition (EDR) market by identifying its various subsegments.
- Focuses on the key global Emotion Detection & Recognition (EDR) players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
- To analyze the Emotion Detection & Recognition (EDR) with respect to individual growth trends, future prospects, and their contribution to the total market.
- To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
- To project the size of Emotion Detection & Recognition (EDR) submarkets, with respect to key regions (along with their respective key countries).
- To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
- To strategically profile the key players and comprehensively analyze their growth strategies.
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