Emotion Detection and Recognition Market Size, Competitive Landscape and Market Forecast - 2029

SKU: DMICT1196 | Last Updated On: Jun 21 2022 | Available Formats

> Global Emotion Detection and Recognition Market Expected to reach a high CAGR of 32% By 2029: DataM Intelligence

Global Emotion Detection and Recognition Market is segmented By Software Tool (Facial Emotion Recognition, Vocal Recognition, Others (Image, Biometrics)), By Technology (Machine Learning, Natural Language Processing, Pattern Recognition networks, Others), By Application (E-learning, Marketing & Advertisement, Others (Medical, Entertainment, Monitoring, Law)), and By Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa) – Share, Size, Outlook, and Opportunity Analysis, 2022-2029

Emotion Detection and Recognition Market Size Share Growth Insights

The Emotion Detection and Recognition Market size is expected to reach USD XX billion by the end of 2029, with growth at a CAGR of  32.22% during the forecast period 2022-2029. North American region was controlled the global market share in 2020, and the region is projected to maintain its position over the forecast periods because of the countries present in this region, such as Canada, and the United States which are the primary places for the biggest retail markets with demand for Internet of Things and smart wearables. A country in North America such as the United States is one of the biggest retail markets in the globe, which boosts a prominent share of world retails consisting of e-commerce.

Emotion recognition is a technique used to provide advanced image processing and allows a program to read different types of emotions from a human face, such as anger, sadness, joy, disgust, surprise, fear, and trust. Emotion detection recognition is a technique implemented for the detection and recognition of human emotions with the technological incorporation of competencies such as face recognition, voice and speech identification, machine learning, and recognition of patterns. Increasing acceptance and innovations in wearable devices are expected to boost the growth of the emotion detection and recognition market. Major companies have been working on emerging voice-activated wearable devices which will identify human emotions.

Now a day’s extensive use of emotional detection and recognition in smart cars have been increased. Using these detection devices in the car will help to alert if the driver feels drowsy, and also it will help in interviews, to screen the candidate’s facial expressions and calculate his personality behaviors. Few companies also adopt emotional detection and recognition, to understand their clients more exactly, and it will give clear data which will help the companies to analyze a detailed understanding of how the consumer think about products and services.

In recent, emotion detection and recognition have obtained significance owing to the speedy growth I machine learning and Artificial Intelligence. Emotion detection and recognition is software depended technology, linked with computer vision and deep learning algorithms that allow the company to identify the emotions on a human’s face.

Major driving factors of the emotional detection and recognition market are the rise in popularity of wearable technology, extensive technology growth of the IoT, and remarkable growth in the implementation of smartphones. Additionally, the expensive application requirements and misapprehension in the analysis of emotions hamper the emotional detection and recognition market growth. Acceptance of cloud-based technology gives growth opportunities for the global market

Considerable growth of the IoT technology, upsurge in approval of wearable technology, and incredible rise in the usage of smartphones drive the global emotion detection and recognition market growth. Likewise, progression in technologies benefits the market to accomplish better. Though, the high cost of application & functional requirements, and misapprehension in an analysis of emotions restrict the growth of the market. The adoption of cloud-based technology provides growth opportunities for the market. To get benefit several major companies are implementing the emotion detection and recognition method. This method enables consumer behavior detection and assists in donating importance to customer behavior studies.

Market Segmentation

According to the research study, the global market is segmented into Software Tools, By Technology, and By Applications.

Various market players are experimenting with using powerful and sophisticated image processing algorithms that have emerged over the last decades. The technique has been implemented to understand more about a person's feelings with the help of a facial image or video. Based on software tools, facial expression tools hold a dominating position in the market. Facial expressions are motions that might assist the response to a given speech. Facial recognition software is an important emotion detection and recognition system. It makes recognizing emotions and responses from facial expressions easier and provides real-time findings.

Voice recognition is the most widely used technology in this space due to the relatively widespread use of microphones on connected devices.

Geographical Analysis

The global market is geographically divided into five major regions such as

  • North America
  • Latin America
  • Europe
  • Middle East and Africa
  • Asia Pacific
  • Rest of the world

North America Emotion Detection and Recognition Market

The region of North America is expected to hold the largest market share due to the presence of developed countries, such as the U.S. and Canada. U.S. is an early adopter of emerging technologies, especially in AI and IoT domains. Heavy commercialization of technology and a strong retail market make the U.S. a leading country in the North American region. With their growing adoption of new technologies, Europe and Asia-Pacific are also important regions for the market. North America's emotion detection and recognition market size is expected to control the largest share in terms of revenue producer in the global market. Quick updating in the IoT, rising trend of wearable devices, and with the technology advancements give lucrative opportunities for the market growth in the North American region.

Asia Pacific Emotion Detection and Recognition Market

Asia Pacific is projected to show an important growth rate over the forecast period due to the increasing requirements for heavy operational quality and the increasing requirement for socially intelligent AI agents to produce to the growth of the global market. In the Asia Pacific region, emerging countries such as India and China are projected to show a surge in demand for advanced technology deployments, and the determination to develop standardized and effective technologies will drive the emotion detection and recognition market in the Asia Pacific region. Additionally, the rising population enhanced technological centers, and the existence of strong countries such as Japan, and South Korea would boost the growth of the market in the Asia Pacific region.

Europe Emotion Detection and Recognition Market

Europe is predicted to have a noteworthy growth in the emotion detection and recognition market owing to the considerable funds of government is safety and surveillance Structure, raising public consciousness, and acceptance of progressive technologies and other vital aspects would donate to escalating the emotion detection and recognition market in the European region.

Impact of COVID-19 On the Global Market:

The global emotion detection and recognition market experienced a decline in 2020, owing to COVID-19's impact. The collapse in demand from the end-use industries caused a severe disruption in the global emotion detection and recognition market. The research and development of new technologies and the introduction and field testing of new systems were delayed. Global demand is expected to recover by the end of 2021.

At the end of 2021, Apple Inc. introduced a new version of its FaceID, which can detect faces and authenticate payments, even when wearing a mask. It was estimated that in 2020, there would be more than 1,000 stores in China, where facial recognition technology is being used for payment authentication and convenience. From 2023 onwards, the Internal Revenue Service (IRS), the main tax collection agency in the U.S., will start using facial recognition for applicants to access tax information.  Many companies are now researching new innovations and product development to increase value generation and lead new growth come out of the pandemic-induced downturn. The upcoming years will see more innovative products being fielded in this sector.

The overall long-term outlook for the market is positive. The rising adoption of new-age technologies, increasing tech literacy in developing countries and widespread digital penetration are some of the conducive factors for market growth. The demand for global emotion detection and recognition system remains strong and is expected to increase significantly in the coming years.

Major Companies Leading the Global Market:

  1. Uniphore
  2. Global Business Machines Corporation
  3. Microsoft
  4. Noldus Information Technology bv
  5. NEC Global
  6. Cipia Vision Ltd.
  7. Google
  8. Intel Corporation
  9. Apple Inc
  10. Afffectiva

Competitive Landscape

  • The global emotion detection and recognition market are competitive with various global and local marketplaces.
  • Uniphore, Global Business Machines Corporation, Microsoft, Noldus Information Technology bv., NEC Global, Cipia Vision Ltd., Google, Intel Corporation, Apple Inc., and Afffectiva are major global emotion detection recognition market players.
  • The top five companies in the global emotion detection and recognition market hold around 71.63% of the total market in 2020, wherein the top two players capture more than 35% of the total market.
  • In 2020, Apple Inc. held the majority of the market share with 17.79% of the global emotion detection and recognition market, followed by Google, with 17.59%, and Microsoft, with 13.39% of the total market, respectively.

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