Emotion Detection & Recognition (EDR) Market Size, Share, Growth, and Industry Analysis, By Type (Software and Services), By Application (Government, Healthcare, Retail, Entertainment, Transportation and Other), Regional Insights, and Forecast From 2024 To 2031

Updated On: 15 April 2024

Emotion Detection & Recognition (EDR) Market Report Overview

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The global emotion detection & recognition (EDR) market size was USD 20920 million in 2021 and is expected to reach USD 91597.03 million by 2031, exhibiting a CAGR of 15.7% during the forecast period.

A system known as emotion detection and recognition (EDR) analyses and interprets human emotions based on a variety of indications, including facial expressions, speech tones, gestures, and physiological signs. EDR systems seek to recognize and comprehend human emotions in order to enhance user interaction, communication, and decision-making across a variety of areas. EDR technology uses methods including affective computing, machine learning, natural language processing, and computer vision to identify and detect emotions. In fields like customer experience management, market research, healthcare, human-computer interface, and robotics, it can be applied.

Companies are becoming more aware of how crucial it is to comprehend customer emotions in order to customize their goods and services accordingly. EDR gives businesses the chance to learn important things about the preferences and attitudes of their customers, which improves their satisfaction and loyalty. The effectiveness and dependability of emotion detection and recognition systems have significantly increased because to the quick development of AI and machine learning algorithms. This has created new opportunities for the use of EDR in practical applications. EDR has found use in the medical field, particularly in the diagnosis and treatment of mental illness. It can assist with emotional state detection, patient wellbeing monitoring, and the provision of individualized interventions and therapies.

COVID-19 Impact: Increased Use of Remote Work to Hinder Market Growth

The COVID-19 pandemic has been unprecedented and staggering, with experiencing lower-than-anticipated demand across all regions compared to pre-pandemic levels. The sudden decline in CAGR is attributable to the market’s growth and demand returning to pre-pandemic levels.

There has been a heightened requirement for remote deployment EDR systems as a result of the pandemic's widespread use of remote work and social isolation tactics. There has been a substantial increase in interest in and implementation of EDR technology that can analyses emotions from video conversations, virtual meetings, or online interactions. The pandemic has pushed contactless technology adoption across a number of businesses. EDR can help eliminate the requirement for physical touchpoints and enable touchless interactions, such the ability to recognize emotions from facial expressions without making physical contact. As a result, there is now more interest in and funding for EDR technology. Face mask usage, which increased during the epidemic, presents difficulties for EDR systems based on facial expression analysis. Wearing a mask can mask facial clues and impact the accuracy of emotion recognition. As a result, EDR solutions relying solely on facial expressions may experience reduced effectiveness in certain contexts.

LATEST TRENDS

"Real-Time and Continuous Emotion Monitoring to Enhance Market Growth"

In order to increase the precision and robustness of emotion recognition, emotion detection & recognition (EDR) systems are increasingly adopting a multimodal approach, incorporating several data sources such facial expressions, voice tone, body language, and physiological signals. Integrating many modalities enables a more thorough understanding of human emotions, resulting in more accurate and nuanced outcomes. Across several industries, there is an increasing demand for real-time emotion monitoring. In order to continuously monitor emotions during interactions, whether in customer service, healthcare, or other applications, EDR systems are being created. The fast interventions, personalised experiences, and immediate feedback made possible by real-time monitoring result in improved outcomes and higher user satisfaction.

EDR is becoming more prevalent in areas outside than labs and well-regulated situations. The goal of researchers and developers is to create EDR models that can recognise emotions while taking into account variables like various lighting conditions, background noise, and various cultural expressions in real-world circumstances. This development intends to increase the practicality and dependability of EDR technology.

Emotion Detection & Recognition (EDR) Market Segmentation

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• By Type

Based on type market is classified as software and services.

• By Application

Based on application market is classified as government, healthcare, retail, entertainment, transportation and other.

DRIVING FACTORS

"Increasing demand for personalized experiences to Augment Market Growth"

Businesses from a variety of industries understand how important it is to comprehend client emotions in order to provide individualised experiences. Organisations can obtain information on client preferences, sentiment, and emotional responses thanks to EDR technology. Customising goods, services, and marketing tactics based on this data can increase consumer pleasure, brand loyalty, and engagement. The quality of the customer experience has emerged as a key differentiator for companies. At various client touchpoints, including customer care contacts, online reviews, and social media, EDR technology aids businesses in analysing customer emotions. Businesses may improve their customer experience initiatives, swiftly address concerns, and forge better bonds with their clients by comprehending the emotions of their clients.

"Advancements in AI and machine learning to Propel Market Growth"

The accuracy and capacities of EDR systems have substantially improved because to the quick development of AI and machine learning algorithms. EDR systems can now deliver more trustworthy and accurate insights into human emotions because to these technical breakthroughs, which have made it possible for more advanced emotion detection and recognition procedures. EDR technology is being used in the medical and mental health fields. It can help with patient emotional health monitoring, mental health diagnosis, and individualised interventions and therapy. Healthcare EDR systems can enhance patient care, treatment results, and general wellbeing.

RESTRAINING FACTORS

"Ethical and Privacy Concerns to Impede Market Expansion"

The use of EDR technology creates ethical questions and privacy issues. Consent, openness, and data protection can all be questioned in relation to the gathering and analysis of personal emotional data. In order to safeguard people's privacy and ensure the ethical use of their emotional data, it is imperative to address these concerns as EDR systems spread.

Even though EDR technology has advanced significantly, achieving high standards of accuracy and reliability still presents difficulties. The precision of emotion detection and recognition algorithms can be impacted by elements including changes in facial expressions, cultural differences, and environmental circumstances. It is still difficult to increase the resilience and generalizability of EDR systems in many circumstances.

Emotion Detection & Recognition (EDR) Market Regional Insights

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"North America to Dominate the Market Due to the Existence of Significant Technological Businesses"

Due to the existence of significant technological businesses, research institutions, and early adopters of innovative technologies, North America has been a leader in the emotion detection & recognition (EDR) market share. Particularly in terms of EDR improvements and application development, the US has been at the forefront. User experience, market research, and healthcare are strongly prioritised in the region, which aids in the uptake of EDR solutions. The adoption of EDR technology in APAC is being influenced by the region's vast population, expanding consumer demand, and growing interest in personalised experiences.

KEY INDUSTRY PLAYERS

"Key Players Focus on Partnerships to Gain a Competitive Advantage"

Prominent market players of emotion detection & recognition (EDR) are making collaborative efforts by partnering with other companies to stay ahead of the competition. Many companies are also investing in new product launches to expand their product portfolio. Mergers and acquisitions are also among the key strategies used by players to expand their product portfolios.

List of Market Players Profiled

• Affectiva (U.S.)
• Apple (U.S.)
• Tobii AB (Sweden)
• Noldus (Netherlands)
• Sightcorp (Netherlands)
• Realeyes (U.K.)
• nViso (Canada)
• Kairos (U.S.)

REPORT COVERAGE

The emotion detection & recognition (EDR) report anticipates a detailed analysis of the global market size at the regional and national level, the ssegmentation market growth and market share. The prime objective of the report is to help user understand the market in terms of definition, market potential, influencing trends, and the challenges faced by the market. Aanalysis of sales, the impact of the market players, recent developments, opportunity analysis, strategic market growth analysis, territorial market expansion, and technological innovations are the subject matter explained in the report.