The North America Emotion Detection and Recognition Market is expected to witness market growth of 14.4% CAGR during the forecast period (2024-2031).
The US market dominated the North America Emotion Detection and Recognition Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $27.94 billion by 2031. The Canada market is experiencing a CAGR of 16.7% during 2024-2031. Additionally, the Mexico market is expected to exhibit a CAGR of 15.9% during 2024-2031.
Emotion detection and recognition (EDR) is a technology that allows machines and software to recognize, analyze, and interpret human emotions by analyzing a variety of inputs, including facial expressions, speech patterns, body language, and physiological signals. By leveraging artificial intelligence (AI), machine learning (ML), deep learning, computer vision, and natural language processing (NLP), EDR systems can detect emotions in real-time, helping businesses and organizations enhance human-computer interactions, improve decision-making and personalize user experiences.
EDR technology leverages sophisticated algorithms to analyze facial micro-expressions, tone of voice, speech patterns, physiological signals such as heart rate and skin conductivity, and behavioral cues to determine an individual’s emotional state. This capability is widely integrated into various applications, from virtual assistants like Amazon Alexa and Google Assistant to advanced driver monitoring systems in automotive safety.
In Canada, strong investments in digital communication platforms and 5G infrastructure fuel the growth of emotion recognition technologies. The ICT sector contributed $104.5 billion to Canada’s GDP in 2021, accounting for 5.3% of the total GDP, with 15.3% of national GDP growth between 2016 and 2021 coming from the sector. Telecommunication companies are integrating emotion detection tools to enhance customer service, improve call center efficiency, and analyze service quality based on user sentiment. As Canada advances its digital economy, the demand for emotion detection solutions is expected to rise across various sectors, ensuring sustained market expansion. Hence, the region will present lucrative growth opportunities for the market throughout the forecast period.
The US market dominated the North America Emotion Detection and Recognition Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $27.94 billion by 2031. The Canada market is experiencing a CAGR of 16.7% during 2024-2031. Additionally, the Mexico market is expected to exhibit a CAGR of 15.9% during 2024-2031.
Emotion detection and recognition (EDR) is a technology that allows machines and software to recognize, analyze, and interpret human emotions by analyzing a variety of inputs, including facial expressions, speech patterns, body language, and physiological signals. By leveraging artificial intelligence (AI), machine learning (ML), deep learning, computer vision, and natural language processing (NLP), EDR systems can detect emotions in real-time, helping businesses and organizations enhance human-computer interactions, improve decision-making and personalize user experiences.
EDR technology leverages sophisticated algorithms to analyze facial micro-expressions, tone of voice, speech patterns, physiological signals such as heart rate and skin conductivity, and behavioral cues to determine an individual’s emotional state. This capability is widely integrated into various applications, from virtual assistants like Amazon Alexa and Google Assistant to advanced driver monitoring systems in automotive safety.
In Canada, strong investments in digital communication platforms and 5G infrastructure fuel the growth of emotion recognition technologies. The ICT sector contributed $104.5 billion to Canada’s GDP in 2021, accounting for 5.3% of the total GDP, with 15.3% of national GDP growth between 2016 and 2021 coming from the sector. Telecommunication companies are integrating emotion detection tools to enhance customer service, improve call center efficiency, and analyze service quality based on user sentiment. As Canada advances its digital economy, the demand for emotion detection solutions is expected to rise across various sectors, ensuring sustained market expansion. Hence, the region will present lucrative growth opportunities for the market throughout the forecast period.
List of Key Companies Profiled
- Apple, Inc.
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Microsoft Corporation
- NEC Corporation
- Thales Group S.A.
- IBM Corporation
- Eyeris Technologies, Inc.
- Cognitec Systems GmbH (Salto Systems, S.L.)
- Realeyes OU
- Smart Eye A/S (Affectiva, Inc.)
Market Report Segmentation
By Tools
- Gesture & Posture Recognition
- Facial Recognition
- Speech & Voice Recognition
By Application
- Surveillance & Monitoring
- Marketing & Advertising
- Robotics & eLearning
- Medical Emergency
- Other Application
By Component
- Software
- Services
By Technology
- Natural Language Processing
- Bio sensors technology
- Machine Learning
- Pattern Recognition
- Feature Extraction
By End-Use
- Healthcare & Life Sciences
- Retail & eCommerces
- BFSI
- IT & Telecommunication
- Education
- Media & Entertainment
- Automotive & Other End-Use
By Country
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America Emotion Detection and Recognition Market by Tools
Chapter 6. North America Emotion Detection and Recognition Market by Application
Chapter 7. North America Emotion Detection and Recognition Market by Component
Chapter 8. North America Emotion Detection and Recognition Market by Technology
Chapter 9. North America Emotion Detection and Recognition Market by End-Use
Chapter 10. North America Emotion Detection and Recognition Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Apple, Inc.
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Microsoft Corporation
- NEC Corporation
- Thales Group S.A.
- IBM Corporation
- Eyeris Technologies, Inc.
- Cognitec Systems GmbH (Salto Systems, S.L.)
- Realeyes OU
- Smart Eye A/S (Affectiva, Inc.)
Methodology
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