Emotion Detection and Recognition Market Development Factors and Analysis, Growth Rate and Prediction with Excellent CAGR of 40.1% Forecast by 2024

According to the report, the Emotion Detection and Recognition Market is expected to keep rising at a substantial rate throughout the forecast period owing to the massive influx of trade and favorable conditions in the market. This is expected to keep boosting the Emotion Detection and Recognition Market through the period as international trade is picking up, along with lots of SMEs venturing into the Global Emotion Detection and Recognition Market.

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Global Emotion Detection and Recognition Market accounted for USD 7.3 billion in 2016 growing at a CAGR of 40.1% during the forecast period of 2017 to 2024.

Global Emotion Detection and Recognition Market, By Geography; Technology (Feature Extraction and 3D Modeling, Bio-Sensors Technology, Pattern Recognition, Natural Language Processing, Machine Learning); Software Tool (Bio-Sensing Software Tools & Apps Speech & Voice Recognition); Service; Application Area; End User – Industry Trends and Forecast to 2024

Definition of Global Emotion Detection and Recognition Market:

Emotion detection and recognition is a technique used in software that allows a program to read the emotions on a human face with the help of advanced image processing technologies. Not only this technology is capable of going through facial expression such as anger, sadness, happiness, and others but also capture subtle body language. It is widely applicable in enterprises, defense and security agency, commercial, industrial, and others. Advancements in enabling technologies and robust data repository, and strong need to understand consumer behavior may act as the major driver the growth of emotion detection and recognition market. On the others side, misinterpretation in analysis of emotions may hamper the market.

Segmentation of Global Emotion Detection and Recognition Market:

On the basis of technology:

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

On the basis of software tool:

  • Bio-Sensing Software Tools and Apps
  • Speech And Voice Recognition

On the basis of service:

  • Storage and Maintenance
  • Consulting
  • Integration

On the basis of application area:

  • Marketing and Advertising
  • Law Enforcement
  • Surveillance and Monitoring
  • Entertainment and Consumer Electronics.

On the basis of end user:

  • Enterprises
  • Defense and Security Agency
  • Commercial
  • Industrial
  • Others

On the basis of geography:

  • North America
  • South America
  • Europe
  • Asia-Pacific
  • Middle East & Africa

Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others. In 2017, North America is expected to dominate the market.

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Competitive Analysis:

The report for emotion detection and recognition market include detailed vendor level analysis for market shares in 2016 for Global, North America, Europe, Asia Pacific, Middle East and Africa and South America specifically. Also impact and development analysis of key vendors is registered in the market and factored on the basis of Vendor Positioning Grid Analysis which measures the vendors strengths and opportunities against present market challenges, measure providers ability to identify or satisfy present market needs, map providers market vision to current and upcoming market dynamics among others. The report also measures technology life line curve and market time line to analyze and do more affective investments.

Major Market Competitors:

  • Affectiva
  • Beyond Verbal
  • CrowdEmotion
  • Emotient (Apple Inc.)
  • Eyeris Medical Center Pvt. Ltd.
  • Kairos AR, Inc.
  • Noldus Information Technology
  • nViso SA
  • Realeyes
  • Sentiance
  • Sightcorp
  • SkyBiometry
  • Tobii AB, and others.

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Report Drivers and Restraints:

  • Advancements in enabling technologies and robust data repository
  • Strong need to understand consumer behavior
  • Increasing adoption of wearable technology
  • Increasing applications in numerous industry sectors
  • Misinterpretation in analysis of emotions

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