Emotion Detection and Recognition (EDR) Market by Component, Software (Facial Expression Recognition, Biosensing Solutions, Speech and Voice Recognition, Gesture and Posture Recognition), End User, Vertical - Global Forecast to 2031

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USD 72.21 BN
MARKET SIZE, 2031
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CAGR 13.8%
(2026-2031)
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400
REPORT PAGES
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500
MARKET TABLES

OVERVIEW

emotion-detection-recognition-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The emotion detection and recognition market is projected to reach USD 72.21 billion by 2031 from USD 37.80 billion in 2026, at a CAGR of 13.8% from 2026 to 2031. The constant development of new algorithms in artificial intelligence, particularly in deep learning and neural networks, is improving the accuracy, flexibility, and scalability of emotion recognition technology. This is improving the accuracy of emotion analysis for different data sets in real-time environments. Moreover, over 58% of enterprises have already started using AI-based sentiment analysis tools, thus showing the growth of affective computing technology and EDR technology integration.

KEY TAKEAWAYS

  • BY REGION
    North America is estimated to account for the largest share (36.6%) of the emotion detection and recognition market in 2026.
  • BY COMPONENT
    By component, the software segment is estimated to dominate the market in 2026 with a market share of 76.2%.
  • BY APPLICATION AREA
    By application area, the law enforcement, surveillance, and monitoring segment is estimated to account for the largest market share of 31.4% in 2026.
  • BY END USER
    By end user, the commercial segment is estimated to lead the market during the forecast period.
  • BY VERTICAL
    By vertical, the media & entertainment segment is projected to register the highest CAGR of 18% during the forecast period.
  • COMPETITIVE LANDSCAPE - KEY PLAYERS
    The key players in the emotion detection and recognition market are NEC, IBM, and Microsoft. The market players offer artificial intelligence-based solutions for facial expression recognition, voice emotion recognition, and sentiment analysis. The technology is helping organizations to derive emotional insights from data, improving human-machine interaction and enhancing customer experiences.
  • COMPETITIVE LANDSCAPE - STARTUPS
    Startups in the emotion detection and recognition market include iMotions, Numenta, and Pyreos. These startups improve the emotional detection and recognition ecosystem through advancements in multimodal emotion analytics, neuroscience-based artificial intelligence technology, and sensor-based emotion detection technology.

The increased focus on the analysis of customer sentiment in real-time has led to the development of emotion detection and recognition technology. Organizations are adopting this technology to provide a better customer experience through different digital, voice, and text-based interfaces.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The emotion detection and recognition market is shifting from standalone tools to multimodal, real-time AI platforms. The technology is being used in different industries, such as BFSI, healthcare, retail, automobile, and education. Organizations are adopting this technology to provide a better customer experience. The emotion detection and recognition technology is also being used for personalization, behavioral analysis, human health improvement, safety enhancement, and establishing trust in artificial intelligence technology.

emotion-detection-recognition-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Rising demand for emotion-aware intelligent systems
  • Increasing adoption of wearable and IoT devices
RESTRAINTS
Impact
Level
  • Limited and inconsistent emotion datasets impacting accuracy
  • High implementation and system development costs
OPPORTUNITIES
Impact
Level
  • Expansion of IoT enabling real-time emotion monitoring use cases
  • Growing government support for AI and emotion recognition technologies
CHALLENGES
Impact
Level
  • Data privacy and security concerns
  • Complexity in deployment and integration of EDR solutions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rising demand for emotion-aware intelligent systems

The increasing necessity of emotion recognition in various systems is creating a significant demand for emotion-aware intelligent systems. Organizations are incorporating emotion recognition in digital systems and virtual assistants to improve decision-making and offer more intuitive interactions in different industries.

Restraint: Limited and inconsistent emotion datasets impacting accuracy

Emotion recognition systems heavily rely on accurate data sets, which are limited and inconsistent in different regions and cultures. The difference in facial expressions, speech patterns, and behavioral patterns can significantly affect the accuracy of emotion recognition systems.

Opportunity: Expansion of IoT enabling real-time emotion monitoring use cases

The rapid growth of IoT devices and connected ecosystems is enabling the continuous collection of physiological and behavioral data, supporting real-time emotion monitoring. Integration with wearables, smart devices, and sensors is expanding EDR applications across healthcare, automotive, and workplace environments, creating new opportunities for proactive insights and adaptive system responses.

Challenge: Data privacy and security concerns

Emotion recognition systems and data collected by these systems are raising significant concerns regarding data privacy and security. Data privacy concerns are affecting the widespread adoption of emotion recognition systems in different industries.

EMOTION DETECTION AND RECOGNITION (EDR) MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Affectiva’s emotion AI is used by global brands and automotive OEMs to analyze facial expressions and in-cabin behavior, enabling driver monitoring and measuring consumer reactions to media and advertisements. Improved road safety through driver state detection, enhanced ad effectiveness, deeper consumer insights, and optimized user experiences
IBM applies emotion and sentiment analysis through its AI platforms to evaluate customer interactions across chat, voice, and digital channels, helping enterprises understand user intent and emotional tone. Enhanced customer experience, improved service quality, better decision-making, and increased customer retention
Microsoft integrates emotion-related capabilities within Azure AI services, enabling developers to analyze facial expressions, speech tone, and sentiment for applications such as virtual assistants and enterprise analytics. Improved human-machine interaction, more responsive AI systems, and enhanced personalization across applications
NVISO provides computer vision-based emotion recognition solutions used in automotive, healthcare, and research to detect facial emotions and behavioral cues in real time. Accurate emotion detection, improved safety and monitoring, and enhanced behavioral analytics for decision-making

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The emotion detection and recognition market ecosystem comprises biometrics, linguistic analysis, computer vision, and neural networks that enable emotion sensing across modalities. Vendors develop integrated AI platforms combining facial, speech, and behavioral analytics, supporting applications in customer experience, healthcare, automotive, and security, while advancing real-time, multimodal, and data-driven emotion intelligence capabilities.

emotion-detection-recognition-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

emotion-detection-recognition-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Emotion Detection and Recognition Market, By Component

The software segment is estimated to lead the emotion detection and recognition market due to the rising adoption of AI-based platforms for the detection of emotions through facial, voice, and text-based analysis. Organizations are increasingly adopting advanced analytics software for the detection of emotions in order to enhance customer engagement and support business decisions.

Emotion Detection and Recognition Market, By Application Area

The medical emergency segment is predicted to witness the highest growth in the emotion detection and recognition market due to the rising adoption of emotion recognition technology for monitoring patient stress levels, diagnosing mental health issues, and improving timely interventions. The integration of wearable devices and AI-based monitoring technology is improving patient assessment, thus improving healthcare services.

Emotion Detection and Recognition Market, By End User

The commercial segment is estimated to account for the largest share of the emotion detection and recognition market due to the rising adoption of emotion AI for improving customer experiences. Organizations are leveraging emotion-based insights for improving customer experiences, thus enhancing customer satisfaction.

Emotion Detection and Recognition Market, By Vertical

The healthcare and social assistance vertical holds the largest share of the emotion detection and recognition market due to increasing adoption for patient monitoring, mental health assessment, and clinical decision support. Integration with telehealth platforms, wearables, and AI-driven analytics enables continuous emotional insights, improving patient outcomes and enhancing personalized, data-driven healthcare delivery.

REGION

Asia Pacifc to be fastest-growing region in global emotion detection and recognition market during forecast period.

The Asia Pacific region will have the highest growth in the emotion detection and recognition market due to the rising adoption of AI-based platforms for improving emotional intelligence. The market growth in this region is also attributed to rising investments in the healthcare, retail, and automotive industries. Governments are also promoting AI-based innovations in the region.

emotion-detection-recognition-market Region

EMOTION DETECTION AND RECOGNITION (EDR) MARKET: COMPANY EVALUATION MATRIX

Google (Star Player) is a significant player in the emotion detection and recognition market with a robust portfolio of artificial intelligence-based offerings, which include sentiment analysis, speech recognition, and computer vision technologies, along with strong cloud and data processing capabilities. Tobii (Emerging Player) is a growing player in this market with its advanced eye tracking and attention computing technologies, which provide emotion-aware applications in research, healthcare, automotive, and consumer experiences.

emotion-detection-recognition-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

  • NEC (Japan)
  • IBM (US)
  • Microsoft (US)
  • Apple (US)
  • Google (US)
  • Tobii (Sweden)
  • Affectiva (US)
  • Elliptic Labs (Norway)
  • Intel (US)
  • Cognitec (Germany)
  • NVISO (Switzerland)
  • Noldus (Netherlands)
  • Gesturetek (Canada)
  • iMotions (Denmark)
  • Numenta (US)
  • PointGrab (Israel)
  • Ayonix (Japan)
  • Pyreos (UK)
  • Eyeris (US)
  • Beyond Verbal (Israel)
  • Kairos (US)
  • Sentiance (Belgium)
  • Raydiant (US)
  • Sony Depthsensing Solutions (Belgium)

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2026 (Value) USD 37.80 Billion
Market Forecast in 2031 (Value) USD 72.21 Billion
Growth Rate CAGR of 13.8% from 2026 to 2031
Years Considered 2019-2031
Base Year 2025
Forecast Period 2026-2031
Units Considered Value (USD Billion)
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered
  • By Component:
    • Software (Facial Expression Recognition
    • Biosensing Solutions and Apps
    • Speech and Voice Recognition
    • Gesture and Posture Recognition)
    • Services
  • By Application Area:
    • Medical Emergency
    • Marketing and Advertising
    • Law Enforcement
    • Surveillance
    • and Monitoring
    • Entertainment and Consumer Electronics
    • Other Application Areas (Robotics
    • eLearning)
  • By End User:
    • Enterprises
    • Defense and Security Agency
    • Commercial
    • Industrial
    • Other End Users
  • By Vertical:
    • Academia and Research
    • Media and Entertainment
    • IT and ITeS
    • Healthcare and Social Assistance
    • Telecommunications
    • Retail and eCommerce
    • Automotive
    • BFSI
    • Other Verticals
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

WHAT IS IN IT FOR YOU: EMOTION DETECTION AND RECOGNITION (EDR) MARKET REPORT CONTENT GUIDE

emotion-detection-recognition-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Solution Provider (US) Product analysis of the emotion detection and recognition market, including a detailed comparison of vendors’ capabilities across facial expression recognition, speech and voice emotion analysis, text-based sentiment analysis, and multimodal emotion AI platforms, along with deployment capabilities across customer experience, healthcare, and automotive applications. Enhanced understanding of competitive positioning in emotion AI technologies, depth of multimodal analytics capabilities, AI model accuracy, and integration maturity across platforms, supporting strategic investment decisions, product portfolio alignment, and long-term AI-driven customer engagement and experience strategies.
Leading Service Provider (EU) Comprehensive profiling and evaluation of emotion detection and recognition vendors and service providers, covering emotion AI platforms, behavioral analytics solutions, integration services, deployment models, and strategic collaborations across industries such as BFSI, healthcare, retail, and media. Clear view of the evolving emotion AI landscape, highlighting growth in multimodal emotion recognition, increasing demand for real-time sentiment analysis, vendor differentiation in AI capabilities, and expansion opportunities driven by digital transformation, human-centric AI adoption, and enhanced customer experience initiatives.

RECENT DEVELOPMENTS

  • March 2024 : IBM partnered with Samsung to co-develop AI-powered solutions, including emotion recognition capabilities for consumer electronics and smart devices.
  • January 2024 : Smart Eye partnered with Forvia and showcased an advanced Emotion AI integration for automotive systems at CES 2024, focusing on in-cabin sensing and driver monitoring.

 

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW
Highlights the market structure, growth drivers, restraints, and near-term inflection points influencing performance.
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
4.2.4
CHALLENGES
 
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
5
INDUSTRY TRENDS
Provides a snapshot of current market scenario, value chain context, and factors impacting competitive intensity.
 
 
 
 
 
5.1
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
5.2
MACROECONOMIC OUTLOOK
 
 
 
 
 
5.2.1
INTRODUCTION
 
 
 
 
5.2.2
GDP TRENDS AND FORECAST
 
 
 
 
5.2.3
TRENDS IN GLOBAL ICT INDUSTRY
 
 
 
 
5.2.4
TRENDS IN GLOBAL CYBERSECURITY INDUSTRY
 
 
 
5.3
VALUE CHAIN ANALYSIS
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE OF EMOTION DETECTION AND RECOGNITION, BY KEY PLAYER (2025)
 
 
 
 
5.5.2
INDICATIVE PRICING ANALYSIS, BY COMPONENT (2025)
 
 
 
5.6
KEY CONFERENCES AND EVENTS IN 2026–2027
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
5.8
INVESTMENT AND FUNDING SCENARIO
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
 
5.9.1
CASE STUDY
 
 
 
 
5.9.2
CASE STUDY
 
 
 
 
5.9.3
CASE STUDY
 
 
 
5.10
IMPACT OF 2025 US TARIFF – EMOTION DETECTION AND RECOGNITION MARKET
 
 
 
 
 
 
5.10.1
INTRODUCTION
 
 
 
 
5.10.2
KEY TARIFF RATES
 
 
 
 
5.10.3
PRICE IMPACT ANALYSIS
 
 
 
 
5.10.4
IMPACT ON COUNTRIES/REGIONS
 
 
 
 
 
5.10.4.1
US
 
 
 
 
5.10.4.2
EUROPE
 
 
 
 
5.10.4.3
ASIA PACIFIC
 
 
 
5.10.5
IMPACT ON END-USE INDUSTRIES
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
6.1
KEY TECHNOLOGIES/KEY EMERGING TECHNOLOGIES
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
6.4
TECHNOLOGY/PRODUCT ROADMAP
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
6.6
FUTURE APPLICATIONS
 
 
 
 
6.7
IMPACT OF AI/GEN AI ON EMOTION DETECTION AND RECOGNITION MARKET
 
 
 
 
 
 
6.7.1
TOP USE CASES AND MARKET POTENTIAL
 
 
 
 
6.7.2
BEST PRACTICES FOLLOWED BY OEMS IN EMOTION DETECTION AND RECOGNITION MARKET
 
 
 
 
6.7.3
CASE STUDIES OF AI IMPLEMENTATION IN EMOTION DETECTION AND RECOGNITION MARKET
 
 
 
 
6.7.4
INTERCONNECTED ECOSYSTEM AND IMPACT ON MARKET PLAYERS
 
 
 
 
6.7.5
CLIENTS’ READINESS TO ADOPT AI-INTEGRATED EMOTION DETECTION AND RECOGNITION
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
7.1
REGIONAL REGULATIONS AND COMPLIANCE
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
8
CUSTOMER LANDSCAPE AND BUYER BEHAVIOR
 
 
 
 
 
8.1
DECISION-MAKING PROCESS
 
 
 
 
8.2
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
8.2.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
8.2.2
BUYING CRITERIA
 
 
 
8.3
ADOPTION BARRIERS AND INTERNAL CHALLENGES
 
 
 
 
8.4
UNMET NEEDS FROM VARIOUS END-USE INDUSTRIES
 
 
 
9
EMOTION DETECTION AND RECOGNITION MARKET, BY COMPONENT (COMPONENT-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING EMOTION DETECTION AND RECOGNITION ADOPTION ACROSS INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
9.1.1
COMPONENT: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS
 
 
 
9.2
SOFTWARE
 
 
 
 
9.3
SERVICES
 
 
 
10
EMOTION DETECTION AND RECOGNITION MARKET, BY APPLICATION AREA (APPLICATION-WISE SEGMENTATION AND ADOPTION ACROSS INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
10.1.1
APPLICATION AREA: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS
 
 
 
10.2
MEDICAL EMERGENCY
 
 
 
 
10.3
MARKETING AND ADVERTISING
 
 
 
 
10.4
LAW ENFORCEMENT, SURVEILLANCE, AND MONITORING
 
 
 
 
10.5
ENTERTAINMENT AND CONSUMER ELECTRONICS
 
 
 
 
10.6
OTHER APPLICATION AREAS
 
 
 
11
EMOTION DETECTION AND RECOGNITION MARKET, BY END USER (ADOPTION TRENDS, DEMAND DYNAMICS, AND GROWTH PATHWAYS ACROSS END-USER SEGMENTS)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
 
11.1.1
END USER: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS
 
 
 
11.2
PROFESSIONAL SERVICES
 
 
 
 
11.3
ENTERPRISES
 
 
 
 
11.4
DEFENSE AND SECURITY AGENCY
 
 
 
 
11.5
COMMERCIAL
 
 
 
 
11.6
INDUSTRIAL
 
 
 
12
EMOTION DETECTION AND RECOGNITION MARKET, BY VERTICAL (SECTOR-SPECIFIC ADOPTION DRIVERS, DEMAND DYNAMICS, AND MARKET POTENTIAL ACROSS INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
 
12.1.1
VERTICAL: EMOTION DETECTION AND RECOGNITION MARKET DRIVERS
 
 
 
12.2
ACADEMIA AND RESEARCH
 
 
 
 
12.3
MEDIA AND ENTERTAINMENT
 
 
 
 
12.4
IT AND ITES
 
 
 
 
12.5
HEALTHCARE AND SOCIAL ASSISTANCE
 
 
 
 
12.6
TELECOM
 
 
 
 
12.7
RETAIL AND E-COMMERCE
 
 
 
 
12.8
AUTOMOTIVE
 
 
 
 
12.9
BFSI
 
 
 
 
12.10
OTHER VERTICALS
 
 
 
13
EMOTION DETECTION AND RECOGNITION MARKET, BY REGION (ASSESSING GROWTH PATTERNS, INDUSTRY FORCES, REGULATORY LANDSCAPE, AND MARKET POTENTIAL ACROSS KEY GEOGRAPHIES AND COUNTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
13.2
NORTH AMERICA
 
 
 
 
 
13.2.1
NORTH AMERICA: MARKET DRIVERS
 
 
 
 
13.2.2
US
 
 
 
 
13.2.3
CANADA
 
 
 
13.3
EUROPE
 
 
 
 
 
13.3.1
EUROPE: MARKET DRIVERS
 
 
 
 
13.3.2
UK
 
 
 
 
13.3.3
GERMANY
 
 
 
 
13.3.4
FRANCE
 
 
 
 
13.3.5
ITALY
 
 
 
 
13.3.6
REST OF EUROPE
 
 
 
13.4
ASIA PACIFIC
 
 
 
 
 
13.4.1
ASIA PACIFIC: MARKET DRIVERS
 
 
 
 
13.4.2
CHINA
 
 
 
 
13.4.3
JAPAN
 
 
 
 
13.4.4
INDIA
 
 
 
 
13.4.5
REST OF ASIA PACIFIC
 
 
 
13.5
MIDDLE EAST & AFRICA
 
 
 
 
 
13.5.1
MIDDLE EAST & AFRICA: MARKET DRIVERS
 
 
 
 
13.5.2
GCC COUNTRIES
 
 
 
 
 
13.5.2.1
KSA
 
 
 
 
13.5.2.2
UAE
 
 
 
 
13.5.2.3
REST OF GCC COUNTRIES
 
 
 
13.5.3
SOUTH AFRICA
 
 
 
 
13.5.4
REST OF MIDDLE EAST & AFRICA
 
 
 
13.6
LATIN AMERICA
 
 
 
 
 
13.6.1
LATIN AMERICA: MARKET DRIVERS
 
 
 
 
13.6.2
BRAZIL
 
 
 
 
13.6.3
MEXICO
 
 
 
 
13.6.4
REST OF LATIN AMERICA
 
 
14
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKING INFLUENCING MARKET POTENTIAL)
 
 
 
 
 
14.1
OVERVIEW
 
 
 
 
14.2
KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN, 2023–2025
 
 
 
 
14.3
REVENUE ANALYSIS,
 
 
 
 
 
14.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
14.5
BRAND/PRODUCT/TECHNOLOGY COMPARISON,
 
 
 
 
 
14.5.1
IBM
 
 
 
 
14.5.2
HCLTECH
 
 
 
 
14.5.3
SYNOPSYS
 
 
 
14.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
14.6.1
STARS
 
 
 
 
14.6.2
EMERGING LEADERS
 
 
 
 
14.6.3
PERVASIVE PLAYERS
 
 
 
 
14.6.4
PARTICIPANTS
 
 
 
 
14.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
14.6.5.1
COMPANY FOOTPRINT
 
 
 
 
14.6.5.2
REGION FOOTPRINT
 
 
 
 
14.6.5.3
SOFTWARE FOOTPRINT
 
 
 
 
14.6.5.4
SERVICES FOOTPRINT
 
 
 
 
14.6.5.5
VERTICAL FOOTPRINT
 
 
14.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
14.7.1
PROGRESSIVE COMPANIES
 
 
 
 
14.7.2
RESPONSIVE COMPANIES
 
 
 
 
14.7.3
DYNAMIC COMPANIES
 
 
 
 
14.7.4
STARTING BLOCKS
 
 
 
 
14.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
14.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
14.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
14.8
COMPANY VALUATION AND FINANCIAL METRICS,
 
 
 
 
14.9
COMPETITIVE SCENARIO
 
 
 
 
 
14.9.1
PRODUCT LAUNCHES
 
 
 
 
14.9.2
DEALS
 
 
 
 
14.9.3
EXPANSIONS
 
 
15
COMPANY PROFILES (IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN EMOTION DETECTION AND RECOGNITION MARKET LANDSCAPE)
 
 
 
 
 
15.1
NEC
 
 
 
 
15.2
IBM
 
 
 
 
15.3
MICROSOFT
 
 
 
 
15.4
APPLE
 
 
 
 
15.5
GOOGLE
 
 
 
 
15.6
TOBII
 
 
 
 
15.7
AFFECTIVA
 
 
 
 
15.8
ELLIPTIC LABS
 
 
 
 
15.9
INTEL
 
 
 
 
15.10
COGNITEC
 
 
 
 
15.11
NVISO
 
 
 
 
15.12
NOLDUS
 
 
 
 
15.13
GESTURETEK
 
 
 
 
15.14
IMOTIONS
 
 
 
 
15.15
NUMENTA
 
 
 
 
15.16
POINTGRAB
 
 
 
 
15.17
AYONIX
 
 
 
 
15.18
PYREOS
 
 
 
 
15.19
EYERIS
 
 
 
 
15.20
BEYOND VERBAL
 
 
 
 
15.21
KAIROS (US)
 
 
 
 
15.22
SENTIANCE (BELGIUM)
 
 
 
 
15.23
SONY DEPTHSENSING SOLUTIONS (BELGIUM)
 
 
 
 
15.24
RAYDIANT (US)
 
 
 

Methodology

The study involved major activities in estimating the current market size for the EDR market. Exhaustive secondary research was done to collect information on the EDR industry. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the EDR market.

Secondary Research

In the secondary research process, various sources were referred to for identifying and collecting information regarding the study. The secondary sources included annual reports, press releases, investor presentations of EDR software and service vendors, forums, certified publications, and white papers. The secondary research was used to obtain key information about the industry’s supply chain, the total pool of key players, market classification, and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives, all of which were further validated by primary sources. The factors considered for estimating the regional market size are technological initiatives undertaken by governments of different countries, Gross Domestic Product (GDP) growth, ICT spending, recent market developments, and market ranking analysis of major EDR solution providers.

Primary Research

Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, including Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the EDR market.

In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.

After the complete market engineering process (including calculations for market statistics, market breakups, market size estimations, market forecasts, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. The primary research was also conducted to identify the segmentation types; industry trends; the competitive landscape of EDR market players; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.

 

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches were used to estimate and validate the size of the global EDR market and estimate the size of various other dependent sub-segments in the overall EDR market. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their revenue contributions in respective regions were determined through primary and secondary research. This entire procedure included the study of the annual and financial reports of the top market players, and extensive interviews were conducted for key insights from the industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources.

Emotion Detection and Recognition (EDR) Market : Top-Down and Bottom-Up Approach

Emotion Detection and Recognition (EDR) Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Market Definition

EDR is the study of recognizing and interpreting different emotional signals, such as facial expressions, posture and movement, speech inflection, and/or other physiological dynamics, in real-time or non-real-time. It provides businesses with the ability to identify, process, and analyze data in multiple structured and unstructured forms for various business purposes.

Key Stakeholders

  • Technology Providers
  • System Integrators
  • End Users

Report Objectives

To define, describe, and forecast the EDR market based on offerings, organization sizes, offering types, verticals, and regions

  • To forecast the market size of five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To analyze the subsegments of the market with respect to individual growth trends, prospects, and contributions to the overall market
  • To provide detailed information related to the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the EDR market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the EDR market
  • To profile the key players of the EDR market and comprehensively analyze their market size and core competencies.
  • To track and analyze competitive developments, such as new product launches; mergers and acquisitions; and partnerships, agreements, and collaborations in the global EDR market.

Customization Options

With the given market data, MarketsandMarkets offers customizations based on company-specific needs. The following customization options are available for the report:

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

 

Growth Signals

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  • Any level of Personalization
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