Market Size in 2024 | Market Forecast in 2034 | CAGR (in %) | Base Year |
---|---|---|---|
USD 25.41 Billion | USD 84.75 Billion | 12.8% | 2024 |
The global emotion detection and recognition market size was worth around USD 25.41 Billion in 2024 and is predicted to grow to around USD 84.75 Billion by 2034 with a compound annual growth rate (CAGR) of roughly 12.8% between 2025 and 2034. The report analyzes the global emotion detection and recognition market's drivers, restraints/challenges, and the effect they have on the demands during the projection period. In addition, the report explores emerging opportunities in the emotion detection and recognition industry.
Emotion detection & recognition is a technique for detecting as well as recognizing human emotions through incorporating technical abilities such as bio-sensing, pattern recognition, facial recognition, machine learning, and speech & voice recognition. Furthermore, the EDR or emotion detection & recognition device helps in determining the key human emotions such as fear, happiness, anger, joy, and disgust through the use of machine learning algorithms & sensors. These devices are utilized in myriad domains such as marketing, robotics, education, and entertainment requiring human emotions. With new computing technologies and IoT, the market for emotion detection and recognition is projected to gain traction over the assessment period.
Furthermore, emotion detection & recognition tools make use of EEG, ECG, GSR or Galvanic Skin Response, Heart Rate Variability, Respiration Rate Analysis, Skin Temperature Measurements, EMG, and EOG for measuring electric impulses occurring in the human nervous system due to emotions along with assessing the changes occurring in the human nervous system cause as a result of emotions.
With the growing trend of using smart systems and the demand for novel technologies having the ability for assessing the emotional quotient of consumers to judge their buying behavior & purchasing patterns as well as preferences will drive the market growth. Emotion detection and recognition tools are used in robotics for creating service robots that can understand human emotions and interact with them effectively. Additionally, these tools make use of machine learning, AI, NLP techniques, deep learning techniques, and other algorithms for creating such smart robots. Apparently, emotion detection & recognition systems are used in education for enhancing the learning curve of the students & their perception, thereby helping the teacher effectively transfer the knowledge to students.
All these aforementioned aspects are anticipated to create lucrative growth avenues for the emotion detection and recognition industry over the projected timeframe.Furthermore, these technologies are used by the promoters for marketing their services or products by developing special advertisements based on the emotional state of the potential consumer during different intervals of time. In the entertainment sector, emotion detection and recognition tools assist the players in targeting the audience for optimizing their profit margins. This, in turn, will boost the market trends.
The global emotion detection and recognition market is segmented based on Technology, Software Tool, Application, End-user, and region.
Based on Technology, the global emotion detection and recognition market is divided into Feature Extraction & 3D Modeling, Bio-sensors Technology, NLP, Machine Learning, Pattern Recognition.
On the basis of Software Tool, the global emotion detection and recognition market is bifurcated into Facial Expression Recognition, Speech & Voice Recognition, Gesture & Posture Recognition.
By Application, the global emotion detection and recognition market is split into Law Enforcement, Marketing & Advertising, Healthcare, Automotive, Education, Others.
In terms of End-user, the global emotion detection and recognition market is categorized into Commercial, Industrial, Defense & Security.
Report Attributes | Report Details |
---|---|
Report Name | Emotion Detection and Recognition Market |
Market Size in 2024 | USD 25.41 Billion |
Market Forecast in 2034 | USD 84.75 Billion |
Growth Rate | CAGR of 12.8% |
Number of Pages | 124 |
Key Companies Covered | NEC Global (Japan), Sony Depthsense (Belgium), Numenta (U.S.), Beyond Verbal (Israel), Ayonix (Japan), Elliptic Labs (Norway), IBM (U.S.), Intel (U.S.), Cognitec Systems (Germany), Eyeris (U.S.), Microsoft (U.S.), Apple (U.S.), Crowd Emotion (UK), Kairos (U.S.), GestureTek (Canada), Noldus Technology (Netherlands), Google (U.S.), Sentiance (Belgium), Tobii (Sweden), Cipia Vision Ltd (Formerly Eyesight Technologies) (Israel), Sightcorp (Holland), iMotions (Denmark), PointGrab (U.S.), Affectiva (U.S.), nViso (Switzerland), and Pyreos (UK)., and others. |
Segments Covered | By Technology, By Software Tool, By Application, By End-user, and By Region |
Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, The Middle East and Africa (MEA) |
Base Year | 2024 |
Historical Year | 2020 to 2023 |
Forecast Year | 2025 - 2034 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
North America To Embellish Market Size Over 2020-2026
The regional market growth during the assessment period is credited to the massive use of speech & voice recognizing tools by customers & firms in the countries like Canada and the U.S. In addition to this, breakthroughs in voice recognition systems for effectively detecting & analyzing emotional states in the people along with its use for diagnosing autism in children as well as emotional disturbances in them will drive the regional market trends. The presence of giant players in the countries such as the U.S. will steer the expansion of the emotion detection and recognition industry in North America over the years ahead.
The report provides a company market share analysis to give a broader overview of the key market players. In addition, the report also covers key strategic developments of the market, including acquisitions & mergers, new product launches, agreements, partnerships, collaborations & joint ventures, research & development, and regional expansion of major participants involved in the emotion detection and recognition market on a global and regional basis.
The global emotion detection and recognition market is dominated by players like:
The global emotion detection and recognition market is segmented as follows;
By Technology
By Software Tool
By Application
By End-user
By Region
FrequentlyAsked Questions
Emotion detection & recognition is a technique for detecting as well as recognizing human emotions through incorporating technical abilities such as bio-sensing, pattern recognition, facial recognition, machine learning, and speech & voice recognition.
The global emotion detection and recognition market is expected to grow due to Advances in AI and growing use in security, marketing, and healthcare drive the market. Demand for personalized user experiences further supports growth.
According to a study, the global emotion detection and recognition market size was worth around USD 25.41 Billion in 2024 and is expected to reach USD 84.75 Billion by 2034.
The global emotion detection and recognition market is expected to grow at a CAGR of 12.8% during the forecast period.
North America is expected to dominate the emotion detection and recognition market over the forecast period.
Leading players in the global emotion detection and recognition market include NEC Global (Japan), Sony Depthsense (Belgium), Numenta (U.S.), Beyond Verbal (Israel), Ayonix (Japan), Elliptic Labs (Norway), IBM (U.S.), Intel (U.S.), Cognitec Systems (Germany), Eyeris (U.S.), Microsoft (U.S.), Apple (U.S.), Crowd Emotion (UK), Kairos (U.S.), GestureTek (Canada), Noldus Technology (Netherlands), Google (U.S.), Sentiance (Belgium), Tobii (Sweden), Cipia Vision Ltd (Formerly Eyesight Technologies) (Israel), Sightcorp (Holland), iMotions (Denmark), PointGrab (U.S.), Affectiva (U.S.), nViso (Switzerland), and Pyreos (UK)., among others.
The report explores crucial aspects of the emotion detection and recognition market, including a detailed discussion of existing growth factors and restraints, while also examining future growth opportunities and challenges that impact the market.
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