Emotion Detection Recognition Edr Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032

  • Report ID: ME_00125109
  • Format: Electronic (PDF)
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  • Number of Pages: 250
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Market Snapshot

CAGR:6.02
2023
2032

Source: Market Expertz

RND-Favicon
Study Period 2019-2032
Base Year 2023
Forcast Year 2023-2032
CAGR 6.02
Information & Technology-companies
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Report Overview


Emotion Detection Recognition (EDR) Market Analysis Report 2023-2032

The Emotion Detection Recognition (EDR) Market is witnessing substantial growth, with an expected Compound Annual Growth Rate (CAGR) of 15.72% from 2022 to 2032. This growth is projected to result in an expansion of the market size by USD 20.98 billion. The EDR market's growth is driven by factors such as increasing applications in healthcare, marketing, and entertainment, as well as advancements in artificial intelligence and facial recognition technology.

Emotion Detection Recognition (EDR) Market Overview

Drivers

The EDR market is propelled by the rising demand for real-time emotion analysis and understanding in various sectors. Organizations are utilizing EDR technologies to gauge consumer sentiment, improve customer experiences, and enhance decision-making processes.

Furthermore, the integration of EDR with artificial intelligence and machine learning algorithms contributes to the accurate recognition and interpretation of human emotions, leading to broader applications.

Trends

Cross-industry adoption and multimodal emotion recognition are key trends in the EDR market. EDR technologies are being adopted across industries such as healthcare, retail, and education to gain insights into human emotions and behaviors.

Moreover, multimodal emotion recognition, which combines multiple data sources like facial expressions, voice tone, and physiological signals, improves the accuracy of emotion detection, making it more robust and reliable.

Restraints

Privacy concerns, ethical considerations, and challenges in accurately interpreting complex emotions pose hurdles in the EDR market. Collecting and analyzing personal emotional data raises privacy concerns, necessitating the development of transparent and ethical EDR solutions.

Additionally, accurately detecting and interpreting complex emotions, such as sarcasm or irony, remains a challenge for EDR technologies.

EDR Market Segmentation By Technology

Among the EDR technologies, the Facial Expression Recognition segment is anticipated to experience significant growth during the forecast period. Facial expression recognition technologies analyze facial features and expressions to identify and categorize emotions accurately.

Moreover, the Voice Recognition segment is also relevant. Voice-based EDR technologies analyze speech patterns and tonal changes to infer emotions, making them valuable in applications like customer service and call centers.

EDR Market Segmentation By End-Use Industry

Within the EDR end-use industry segment, the Healthcare segment is expected to play a substantial role in market growth. EDR technologies find applications in healthcare settings, aiding in the assessment of patient emotions, pain levels, and mental health.

Additionally, the Marketing & Advertising segment remains relevant. Marketers use EDR technologies to gauge consumer responses to advertisements, enabling more targeted and effective campaigns.

Regional Overview:

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North America is projected to be a significant contributor to the global EDR market growth, accounting for approximately 40% of the market share during the forecast period. The region's leadership is attributed to its strong technological innovation, widespread adoption of artificial intelligence, and presence of major technology companies.

The Asia-Pacific region is also witnessing substantial growth, driven by the region's emerging economies, increasing digitalization, and adoption of new technologies.

The EDR market transforms industries by enabling the analysis and interpretation of human emotions, offering insights into human behavior.

EDR Market Customer Landscape

The EDR market report encompasses an analysis of the customer landscape, from healthcare providers and marketers to entertainment companies and educational institutions. It delves into adoption rates across industries and user preferences, providing insights into customer behaviors and trends. Additionally, the report identifies key factors influencing EDR adoption, aiding businesses in devising effective growth strategies.

Major EDR Market Companies

Companies in the EDR market are implementing various strategies to enhance their market presence, including improving accuracy through machine learning, expanding applications to new industries, and addressing privacy concerns.

  • Affectiva: Affectiva specializes in emotion recognition software that analyzes facial expressions and voice tones. The company focuses on providing accurate and actionable insights into human emotions.
  • Emotient (Apple Inc.): Emotient, acquired by Apple Inc., developed technologies for emotion detection using facial expression analysis. The company's solutions contribute to improving user experiences and interactions with technology.
  • nViso: nViso offers facial analytics and emotion recognition solutions for various industries, including retail, healthcare, and entertainment. The company emphasizes the use of artificial intelligence to enhance emotion analysis accuracy.

The competitive landscape analysis in the report offers comprehensive insights into market players, assessing their strengths, weaknesses, and positioning. The qualitative and quantitative data aids in categorizing companies based on their focus and dominance in the market.

Segment Overview

The EDR market report forecasts revenue growth at global, regional, and country levels and provides a comprehensive analysis of trends and growth opportunities from 2019 to 2032.

  • Technology Outlook (USD Billion, 2019 - 2032)
    • Facial Expression Recognition
    • Voice Recognition
    • Physiological Monitoring
    • Combined Modalities
  • End-Use Industry Outlook (USD Billion, 2019 - 2032)
    • Healthcare
    • Marketing & Advertising
    • Entertainment & Media
    • Education
    • Others
  • Geography Outlook (USD Billion, 2019 - 2032)
    • North America
      • United States
      • Canada
    • Asia-Pacific
      • China
      • Japan
      • South Korea
      • Rest of Asia-Pacific

TABLE OF CONTENTS: GLOBAL Emotion detection recognition (EDR) MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition    `

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. Emotion detection recognition (EDR) MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Emotion detection recognition (EDR) Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

    4.5.1. Power Of Suppliers

    4.5.2. Power Of Buyers

    4.5.3. Threat Of Substitutes

    4.5.4. Threat Of New Entrants

    4.5.5. Competitive Rivalry

Chapter 5. Emotion detection recognition (EDR) MARKET BY software landscape

SIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2 Facial Recognition

    5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3 Speech and Voice Recognition

    5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.4 Bio-sensing

    5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. Emotion detection recognition (EDR) MARKET BY End user INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2 Government

    6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3 Healthcare

    6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.4 Retail

    6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. Emotion detection recognition (EDR) MARKET REGIONAL OUTLOOK

7.1. Emotion detection recognition (EDR) Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

    7.2.1. North America Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.2. North America Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.3. North America Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.4. North America Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

    7.2.5.1. U.S. Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.5.2. U.S. Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.5.3. U.S. Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.5.4. U.S. Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

    7.2.6.1. Canada Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.6.2. Canada Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.6.3. Canada Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.6.4. Canada Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

    7.3.1. Europe Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.2. Europe Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.3. Europe Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.4. Europe Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

    7.3.5.1. Germany Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.5.2. Germany Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.5.3. Germany Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.5.4. Germany Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

    7.3.6.1. France Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.6.2. France Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.6.3. France Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.6.4. France Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

    7.3.7.1. U.K. Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.7.2. U.K. Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.7.3. U.K. Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.7.4. U.K. Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

    7.4.1. Asia Pacific Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.2. Asia Pacific Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.3. Asia Pacific Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.4. Asia Pacific Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

 7.4.5. CHINA

     7.4.5.1. China Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.5.2. China Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.5.3. China Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.5.4. China Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

     7.4.6.1. India Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.6.2. India Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.6.3. India Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.6.4. India Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

     7.4.7.1. Japan Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.7.2. Japan Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.7.3. Japan Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.7.4. Japan Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

    7.4.8.1. Australia Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.8.2. Australia Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.8.3. Australia Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.8.4. Australia Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

    7.5.1. Mea Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.5.2. Mea Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.5.3. Mea Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.5.4. Mea Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

     7.6.1. Latin America Emotion detection recognition (EDR) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.6.2. Latin America Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.6.3. Latin America Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.6.4. Latin America Emotion detection recognition (EDR) Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

    7.6.5. Latin America Emotion detection recognition (EDR) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

    8.2.1. New Product Launches

    8.2.2. Investment & Expansion

    8.2.3. Acquisitions

    8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

     8.3.1. North American Suppliers

     8.3.2. European Suppliers

     8.3.3. Asia-Pacific Suppliers

     8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1 Affectiva

    9.1.1. Company Overview

    9.1.2. Financial Performance

    9.1.3. Product Insights

    9.1.4. Strategic Initiatives

9.2 Tobii AB

    9.2.1. Company Overview

    9.2.2. Financial Performance

    9.2.3. Product Insights

    9.2.4. Strategic Initiatives

9.3 Noldus

    9.3.1. Company Overview

    9.3.2. Financial Performance

    9.3.3. Product Insights

    9.3.4. Strategic Initiatives

9.4 Realeyes OU

    9.4.1. Company Overview

    9.4.2. Financial Performance

    9.4.3. Product Insights

    9.4.4. Strategic Initiatives

9.5 Kairos AR Inc

    9.5.1. Company Overview

    9.5.2. Financial Performance

    9.5.3. Product Insights

    9.5.4. Strategic Initiatives

9.6 Company 6

    9.6.1. Company Overview

    9.6.2. Financial Performance

    9.6.3. Product Insights

    9.6.4. Strategic Initiatives

9.7 Company 7

   9.7.1. Company Overview

    9.7.2. Financial Performance

    9.7.3. Product Insights

    9.7.4. Strategic Initiatives

9.8 Company 8

    9.8.1. Company Overview

    9.8.2. Financial Performance

    9.8.3. Product Insights

    9.8.4. Strategic Initiatives

9.9 Company 9

    9.9.1. Company Overview

    9.9.2. Financial Performance

    9.9.3. Product Insights

    9.9.4. Strategic Initiatives

9.10 Company 10

    9.10.1. Company Overview

    9.10.2. Financial Performance

    9.10.3. Product Insights

    9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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