Global Emotion Detection and Recognition Market Size, Status and Forecast 2021-2027

SKU ID : QYR-17217284 | Publishing Date : 19-Jan-2021 | No. of pages : 90

The emotion detection and recognition 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.
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.

Market Analysis and Insights: Global Emotion Detection and Recognition Market
The global Emotion Detection and Recognition market size is projected to reach US$ 46560 million by 2026, from US$ 11070 million in 2019, at a CAGR of 22.6% during 2021-2026.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Emotion Detection and Recognition market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Emotion Detection and Recognition market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Emotion Detection and Recognition market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Emotion Detection and Recognition market.

Global Emotion Detection and Recognition Scope and Market Size
Emotion Detection and Recognition market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Emotion Detection and Recognition market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Feature Extraction and 3D Modeling
Bio-Sensors Technology
Pattern Recognition
Natural Language Processing
Machine Learning
Others

Segment by Application
Enterprises
Defense and Security Agency
Commercial
Industrial
Others

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
AffectivA
Beyond Verbal
Crowdemotion Ltd.
Emotient
Eyeris
Kairos Ar
Noldus
Nviso
Realeyes
Emotient

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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