Emotion Detection and Recognition Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Emotion Detection and Recognition Technology Market is segmented by Software and Services (Software (Facial Recognition, Speech and Voice Recognition, and Bio-sensing), Services), by End-user Vertical (Government, Healthcare, Retail, Entertainment, Transportation), by Geography (North America, Europe, Asia Pacific, Rest of the World). The market sizes and forecasts are provided in terms of value in USD billion for all the above segments.

Emotion Detection and Recognition Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Emotion Detection and Recognition (EDR) Market Size

Emotion Detection And Recognition (EDR) Market Summary
Study Period 2019 - 2030
Market Size (2025) USD 68.41 Billion
Market Size (2030) USD 166.63 Billion
CAGR (2025 - 2030) 19.49 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Medium

Major Players

Emotion Detection And Recognition (EDR) Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Emotion Detection And Recognition (EDR) Market with other markets in Technology, Media and Telecom Industry

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Emotion Detection and Recognition (EDR) Market Analysis

The Emotion Detection And Recognition Market size is estimated at USD 68.41 billion in 2025, and is expected to reach USD 166.63 billion by 2030, at a CAGR of 19.49% during the forecast period (2025-2030).

The Emotion Detection and Recognition (EDR) market is a rapidly growing sector that involves developing and implementing technologies capable of identifying and analyzing human emotions. EDR systems utilize various techniques such as facial expression recognition, speech analysis, physiological signals, and natural language processing to detect and interpret emotional states.

  • Businesses increasingly recognize the importance of understanding customer emotions to enhance their products, services, and overall customer experience. EDR technologies enable companies to gather valuable insights by analyzing customer emotions and sentiments.
  • The widespread use of wearable devices, such as smartwatches and fitness trackers, has created new opportunities for EDR technology. These devices can collect physiological data, such as heart rate and skin conductance, which can be used in emotion detection algorithms.
  • The increasing need for advanced marketing tools drives the Emotion Detection and Recognition (EDR) market significantly. Emotion detection and recognition technology enables marketers to gain deeper insights into customer emotions, sentiments, and preferences. Marketers can understand how customers engage with their brand by analyzing emotional responses to marketing campaigns, advertisements, and product experiences. This data helps create more personalized and targeted marketing strategies, improving customer engagement and conversion rates.
  • Emotion detection and recognition systems collect and analyze personal data, including facial expressions, voice recordings, physiological signals, and textual data. The collection and use of such sensitive personal information raise privacy concerns. Individuals are becoming increasingly aware of their data rights and are demanding greater control over their personal information.
  • Due to COVID-19, the market is slowdown because wearing masks has become necessary for social engagement, interfering with emotional recognition in everyday life. Furthermore, it hindered detection rates because identification rates were lowest under mask settings, and different emotion types were associated with different parts of the face. Post-pandemic, the market is growing rapidly due to increased connected devices.

Emotion Detection and Recognition (EDR) Industry Overview

The emotion detection and recognition market is semi-consolidated owing to the presence of multiple vendors in the market. Moreover, market entry for new entrants remains challenging due to higher investment and demand for skilled technicians. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

  • January 2023 - nViso SA (NVISO), one of the leading Human Behavioural Analytics AI businesses, announced that its Neuro SDK would be presented at the Socionext display at CES2023. NVISO has expanded the spectrum of Human Behavioural AI Apps that it supports on the BrainChip Akida event-based, fully digital neuromorphic processing platform by transferring new AI Apps from its portfolio. These features include Action Units, Body Pose, and Gesture Recognition, in addition to the previously announced Headpose, Facial Landmark, Gaze, and Emotion AI Apps with the release of the Evaluation Kit (EVK) version.

Emotion Detection and Recognition (EDR) Market Leaders

  1. Affectiva Inc. (Smart Eye)

  2. Emotibot Technologies Limited

  3. iMotions

  4. Noldus

  5. Sightcorp.

  6. *Disclaimer: Major Players sorted in no particular order
Emotion Detection And Recognition (EDR) Market Concentration
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Emotion Detection and Recognition (EDR) Market News

  • September 2022 - CyberLink Corporation, a provider of AI and facial recognition technology, integrated its FaceMe AI face recognition engine into MediaTek's new Genio AIoT platform. FaceMe now has precise facial recognition capabilities for flexible deployment across different sectors and use cases, including security, smart banking, access control, public safety, and smart retail, owing to the recent MediaTek Genio 1200 integration.
  • July 2022 - Secunet, a security and biometrics corporation in Germany, revealed plans to equip Zurich Airport with technology to make the facility compliant with the European Entry/Exit System (EES). Third-country nationals are required to register with a face image and four fingerprints to pass the Schengen area's land, sea, and air borders under the EES program.

Emotion Detection and Recognition (EDR) Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Technology Snapshot
  • 4.4 Market Drivers
    • 4.4.1 Adoption of IOT driven Wearable Devices
    • 4.4.2 Increasing Need for Advanced Marketing Tools
  • 4.5 Market Challenges
    • 4.5.1 Data Privacy Concerns and data Regulation Adoption across the World
  • 4.6 Assessment of Impact of COVID-19 on the Market

5. MARKET SEGMENTATION

  • 5.1 By Software and Services
    • 5.1.1 Software
    • 5.1.1.1 Facial Recognition
    • 5.1.1.2 Speech and Voice Recognition
    • 5.1.1.3 Bio-sensing
    • 5.1.2 Services
  • 5.2 By End-user Vertical
    • 5.2.1 Government
    • 5.2.2 Healthcare
    • 5.2.3 Retail
    • 5.2.4 Entertainment
    • 5.2.5 Transportation
    • 5.2.6 Other End-user Verticals
  • 5.3 By Geography
    • 5.3.1 North America
    • 5.3.1.1 United States
    • 5.3.1.2 Canada
    • 5.3.2 Europe
    • 5.3.2.1 Germany
    • 5.3.2.2 France
    • 5.3.2.3 United Kingdom
    • 5.3.2.4 Rest of Europe
    • 5.3.3 Asia Pacific
    • 5.3.3.1 India
    • 5.3.3.2 China
    • 5.3.3.3 Japan
    • 5.3.3.4 Rest of Asia Pacific
    • 5.3.4 Latin America
    • 5.3.4.1 Brazil
    • 5.3.4.2 Argentina
    • 5.3.4.3 Rest of Latin America
    • 5.3.5 Middle East & Africa
    • 5.3.5.1 UAE
    • 5.3.5.2 South Africa
    • 5.3.5.3 Rest of Middle East and Africa
    • 5.3.6 Rest of the world

6. COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Affectiva Inc. (Smart Eye)
    • 6.1.2 Emotibot Technologies Limited
    • 6.1.3 iMotions
    • 6.1.4 Noldus
    • 6.1.5 Sightcorp.
    • 6.1.6 Realeyes OU
    • 6.1.7 NVISO SA
    • 6.1.8 Kairos AR Inc.
    • 6.1.9 Nemesysco Ltd
    • 6.1.10 audEERING GMBH
  • *List Not Exhaustive

7. INVESTMENT ANALYSIS

8. MARKET OPPORTUNITIES AND FUTURE TRENDS

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Emotion Detection and Recognition (EDR) Industry Segmentation

Emotion detection recognition (EDR) is a method used for detection and recognition of human emotions with the incorporation of technological capabilities, such as facial recognition, speech and voice recognition, biosensing, machine learning, and pattern recognition. The study under consideration explores the global market for both EDR software and services that are capable of recognizing basic emotions (anger, contempt, disgust, fear, joy, sadness, and surprise).

The Emotion Detection and Recognition (EDR) Market is Segmented by Software and Services (Software (Facial Recognition, Speech and Voice Recognition, and Bio-sensing), Services), by End-user Vertical (Government, Healthcare, Retail, Entertainment, Transportation, Others), by Geography (North America, Europe, Asia Pacific, Rest of the World). The market sizes and forecasts are provided in terms of value in USD for all the above segments.

By Software and Services Software Facial Recognition
Speech and Voice Recognition
Bio-sensing
Services
By End-user Vertical Government
Healthcare
Retail
Entertainment
Transportation
Other End-user Verticals
By Geography North America United States
Canada
Europe Germany
France
United Kingdom
Rest of Europe
Asia Pacific India
China
Japan
Rest of Asia Pacific
Latin America Brazil
Argentina
Rest of Latin America
Middle East & Africa UAE
South Africa
Rest of Middle East and Africa
Rest of the world
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Emotion Detection and Recognition (EDR) Market Research FAQs

How big is the Emotion Detection And Recognition (EDR) Market?

The Emotion Detection And Recognition (EDR) Market size is expected to reach USD 68.41 billion in 2025 and grow at a CAGR of 19.49% to reach USD 166.63 billion by 2030.

What is the current Emotion Detection And Recognition (EDR) Market size?

In 2025, the Emotion Detection And Recognition (EDR) Market size is expected to reach USD 68.41 billion.

Who are the key players in Emotion Detection And Recognition (EDR) Market?

Affectiva Inc. (Smart Eye), Emotibot Technologies Limited, iMotions, Noldus and Sightcorp. are the major companies operating in the Emotion Detection And Recognition (EDR) Market.

Which is the fastest growing region in Emotion Detection And Recognition (EDR) Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Emotion Detection And Recognition (EDR) Market?

In 2025, the North America accounts for the largest market share in Emotion Detection And Recognition (EDR) Market.

What years does this Emotion Detection And Recognition (EDR) Market cover, and what was the market size in 2024?

In 2024, the Emotion Detection And Recognition (EDR) Market size was estimated at USD 55.08 billion. The report covers the Emotion Detection And Recognition (EDR) Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Emotion Detection And Recognition (EDR) Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Emotion Detection and Recognition Industry Report

Statistics for the 2025 Emotion Detection And Recognition (EDR) market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Emotion Detection And Recognition (EDR) analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.