½ÃÀ庸°í¼­
»óǰÄÚµå
1701821

°¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå º¸°í¼­ : ÄÄÆ÷³ÍÆ®º°, ±â¼úº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº°(2025-2033³â)

Emotion Detection and Recognition Market Report by Component, Technology, Application, End User, and Region 2025-2033

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: IMARC | ÆäÀÌÁö Á¤º¸: ¿µ¹® 139 Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

¼¼°èÀÇ °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå ±Ô¸ð´Â 2024³â¿¡ 559¾ï ´Þ·¯¿¡ ´ÞÇß½À´Ï´Ù. ÇâÈÄ IMARC GroupÀº ½ÃÀåÀÌ 2033³â±îÁö 2,270¾ï ´Þ·¯¿¡ ´ÞÇϸç, 2025-2033³â¿¡ 16.01%ÀÇ ¼ºÀå·ü(CAGR)À» º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøÇϰí ÀÖ½À´Ï´Ù.

°¨Á¤ °¨Áö ¹× ÀνÄ(EDR)Àº ¾ó±¼ÀνÄ, À½¼ºÀνÄ, ¹ÙÀÌ¿À¼¾½Ì, ¸Ó½Å·¯´×, ÆÐÅÏÀÎ½Ä µîÀÇ ±â¼úÀû ´É·ÂÀ» ÀÌ¿ëÇÏ¿© Àΰ£ÀÇ °¨Á¤À» °¨ÁöÇϰí ÀνÄÇÏ´Â ±â¼úÀ» ¸»Çϸç, EDR ±â¼úÀº Àΰ£ ¾ó±¼ÀÇ °¨Á¤À» °¨ÁöÇϱâ À§ÇØ ³Î¸® »ç¿ëµÇ´Â À̹ÌÁö ó¸® ±â¼úÀ» ±â¹ÝÀ¸·Î ÇÕ´Ï´Ù. ±â¹ÝÀ¸·Î ÇÕ´Ï´Ù. Èñ³ë¾Ö¶ôÀº ¹°·Ð °æ¸êÀ̳ª °æ¸ê°ú °°Àº ¹Ì¼¼ÇÑ Ç¥Á¤±îÁö ½ºÄµÇÕ´Ï´Ù. ÀÌ ¿Ü¿¡µµ °¨Á¤ °¨Áö ¹× ÀÎ½Ä ±â¼úÀº Çൿ ÆÐÅÏÀ» ½Äº°ÇÏ°í ½Åü Á¦½ºÃ³¿Í ÀÚ¼¼¸¦ ºÐ¼®Çϱâ À§ÇØ Ã¤Åõǰí ÀÖ½À´Ï´Ù. ±× °á°ú, ¹ý·ü, °æÂû, ¸¶ÄÉÆÃ, ±¤°í, ÀÇ·á µî ´Ù¾çÇÑ »ê¾÷ ºÐ¾ß¿¡¼­ Æø³Ð°Ô Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù.

°¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå µ¿Çâ :

°í°´ °æÇè Çâ»ó¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿Í µðÁöÅÐ »óÈ£ ÀÛ¿ë¿¡¼­ ÈÞ¸Õ ÅÍÄ¡¿¡ ´ëÇÑ ¿ä±¸°¡ Áõ°¡Çϸ鼭 ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. ÀÌ¿¡ µû¶ó ´Ù¾çÇÑ »ê¾÷¿¡¼­ ¹Ì¼¼ÇÑ Ç¥Á¤À» ±â·ÏÇϰí Á¦Ç° ¹× ¼­ºñ½º¿¡ ´ëÇÑ °í°´ÀÇ Çǵå¹éÀ» Æò°¡Çϱâ À§ÇØ EDRÀÇ »ç¿ëÀÌ È®´ëµÇ°í ÀÖ´Â °Íµµ ½ÃÀå ¼ºÀåÀ» °¡¼ÓÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¿þ¾î·¯ºí µð¹ÙÀ̽º¿Í EDRÀÇ ÅëÇÕÀÌ Áõ°¡Çϸ鼭 »ý¸®Àû ¹× Çൿ µ¥ÀÌÅ͸¦ ĸóÇÏ¿© °¨Á¤À» ±â¹ÝÀ¸·Î ºÐ¼®Çϰí ÀÚµ¿ ÀÀ´äÀ» »ý¼ºÇϱâ À§ÇÑ ¿þ¾î·¯ºí µð¹ÙÀ̽º¿Í EDRÀÇ ÅëÇÕÀÌ Áõ°¡Çϰí ÀÖ´Â °Íµµ ¶Ç ´Ù¸¥ ¼ºÀå ÃËÁø¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù. ÀÌ ¿Ü¿¡µµ ±ºÁß ÇൿÀ» ¸ð´ÏÅ͸µÇϰí ÀáÀçÀûÀÎ À§ÇùÀ» °¨ÁöÇϱâ À§ÇØ ¿©·¯ Á¤ºÎ ±â°ü¿¡¼­ °¨Á¤ °¨Áö ¹× ÀÎ½Ä ¼Ö·ç¼ÇÀ» ³Î¸® äÅÃÇϰí ÀÖ´Â °Íµµ ¼¼°è ½ÃÀåÀ» ÀÚ±ØÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ½º¸¶Æ® ÀÚµ¿Â÷¿¡¼­ EDR ¼ÒÇÁÆ®¿þ¾î ½Ã½ºÅÛÀÇ »ç¿ëÀÌ È®´ëµÇ°í ÀÖÀ¸¸ç, ½Ç½Ã°£À¸·Î ¾ó±¼ ºÐ¼®À» ÅëÇØ ÇൿÀ» ¸ð´ÏÅ͸µÇϰí ÇÊ¿äÇÒ ¶§ ¾ðÁ¦µçÁö ¿îÀüÀÚ¿¡°Ô °æ°í¸¦ º¸³»´Â ½º¸¶Æ® ÀÚµ¿Â÷ÀÇ µîÀåµµ ½ÃÀå Àü¸ÁÀ» ´õ¿í ¹à°Ô Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ µö·¯´× ¹× AI ¾Ë°í¸®ÁòÀ» äÅÃÇÏ¿© ¼º°ú¸¦ °³¼±ÇÏ´Â µî ´Ù¾çÇÑ ±â¼ú ¹ßÀüÀÌ ¿¹Ãø ±â°£ Áß Àü ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀ» ÃËÁøÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

ÀÌ º¸°í¼­¿¡¼­ ´äº¯ÇÑ ÁÖ¿ä Áú¹®

  • 2024³â ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå ±Ô¸ð´Â?
  • 2025-2033³â ¼¼°èÀÇ °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå ¿¹Ãø ¼ºÀå·üÀº?
  • ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀ» ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀº?
  • COVID-19°¡ Àü ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå¿¡ ¹ÌÄ¡´Â ¿µÇâÀº?
  • ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀÇ ±¸¼º ¿ä¼Òº° ºÐ¼®Àº?
  • Àü ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀÇ ±â¼úº° ÇöȲÀº?
  • ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀÇ ÁÖ¿ä Áö¿ªÀº?
  • ¼¼°è °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷Àº?

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹üÀ§¿Í Á¶»ç ¹æ¹ý

  • Á¶»çÀÇ ¸ñÀû
  • ÀÌÇØ°ü°èÀÚ
  • µ¥ÀÌÅÍ ¼Ò½º
    • 1Â÷ Á¤º¸
    • 2Â÷ Á¤º¸
  • ½ÃÀå ÃßÁ¤
    • º¸ÅÒ¾÷ ¾îÇÁ·ÎÄ¡
    • Åé´Ù¿î ¾îÇÁ·ÎÄ¡
  • Á¶»ç ¹æ¹ý

Á¦3Àå °³¿ä

Á¦4Àå ¼­·Ð

  • °³¿ä
  • ÁÖ¿ä ¾÷°è µ¿Çâ

Á¦5Àå ¼¼°èÀÇ °¨Á¤ °¨Áö ¹× ÀÎ½Ä ½ÃÀå

  • ½ÃÀå °³¿ä
  • ½ÃÀå ½ÇÀû
  • COVID-19ÀÇ ¿µÇâ
  • ½ÃÀå ¿¹Ãø

Á¦6Àå ½ÃÀå ³»¿ª : ÄÄÆ÷³ÍÆ®º°

  • ¼ÒÇÁÆ®¿þ¾î Åø
    • ÁÖ¿ä ºÎ¹®
      • Ç¥Á¤ÀνÄ
      • ¹ÙÀÌ¿À¼¾½Ì ¼ÒÇÁÆ®¿þ¾î Åø°ú ¾Û
      • À½¼ºÀνÄ
  • ¼­ºñ½º
    • ÁÖ¿ä ºÎ¹®
      • º¸°ü°ú Á¤ºñ
      • ÄÁ¼³ÆÃ°ú ÅëÇÕ

Á¦7Àå ½ÃÀå ³»¿ª : ±â¼úº°

  • ÆÐÅÏ ÀÎ½Ä ³×Æ®¿öÅ©
  • ±â°èÇнÀ
  • ÀÚ¿¬¾ð¾îó¸®
  • ¹ÙÀÌ¿À¼¾¼­ ±â¼ú
  • Ư¡ ÃßÃâ°ú 3D ¸ðµ¨¸µ
  • ±âŸ

Á¦8Àå ½ÃÀå ³»¿ª : ¿ëµµº°

  • ¹ýÁýÇà, °¨½Ã, ¸ð´ÏÅ͸µ
  • ¸¶ÄÉÆÃ°ú ±¤°í
  • ¹Ìµð¾î¿Í ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ±âŸ

Á¦9Àå ½ÃÀå ³»¿ª : ÃÖÁ¾»ç¿ëÀÚº°

  • Á¤ºÎ
  • ÇコÄɾî
  • ¼Ò¸Å
  • ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ±³Åë±â°ü
  • ±¹¹æ¡¤¾Èº¸±¹
  • ±³À°
  • ±âŸ

Á¦10Àå ½ÃÀå ³»¿ª : Áö¿ªº°

  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • Áß±¹
    • ÀϺ»
    • Àεµ
    • Çѱ¹
    • È£ÁÖ
    • Àεµ³×½Ã¾Æ
    • ±âŸ
  • À¯·´
    • µ¶ÀÏ
    • ÇÁ¶û½º
    • ¿µ±¹
    • ÀÌÅ»¸®¾Æ
    • ½ºÆäÀÎ
    • ·¯½Ã¾Æ
    • ±âŸ
  • ¶óƾ¾Æ¸Þ¸®Ä«
    • ºê¶óÁú
    • ¸ß½ÃÄÚ
    • ±âŸ
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • ½ÃÀå ³»¿ª : ±¹°¡º°

Á¦11Àå SWOT ºÐ¼®

  • °³¿ä
  • °­Á¡
  • ¾àÁ¡
  • ±âȸ
  • À§Çù

Á¦12Àå ¹ë·ùüÀÎ ºÐ¼®

Á¦13Àå Porter's Five Forces ºÐ¼®

  • °³¿ä
  • ¹ÙÀ̾îÀÇ ±³¼··Â
  • °ø±Þ ±â¾÷ÀÇ ±³¼··Â
  • °æÀïÀÇ Á¤µµ
  • ½Å±Ô ÁøÃâ¾÷üÀÇ À§Çù
  • ´ëüǰÀÇ À§Çù

Á¦14Àå °¡°Ý ºÐ¼®

Á¦15Àå °æÀï ±¸µµ

  • ½ÃÀå ±¸Á¶
  • ÁÖ¿ä ±â¾÷
  • ÁÖ¿ä ±â¾÷ÀÇ °³¿ä
    • Affectiva(Smart Eye AB)
    • Cognitec Systems GmbH(SALTO Systems)
    • Emotibot Technologies Limited
    • Eyeris Technologies Inc.
    • International Business Machines Corporation
    • Kairos AR Inc.
    • NEC Corporation(AT&T Corporation)
    • Noldus Information Technology bv
    • NVISO SA
    • Paravision
    • Realeyes
    • Sightcorp BV
    • SkyBiometry
KSA 25.04.21

The global emotion detection and recognition market size reached USD 55.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 227.0 Billion by 2033, exhibiting a growth rate (CAGR) of 16.01% during 2025-2033.

Emotion detection and recognition (EDR) refers to a method utilized for detecting and recognizing human emotions using technological capabilities, including facial recognition, speech and voice recognition, biosensing, machine learning, pattern recognition, etc. The EDR technology is based on image processing technologies that are widely used to detect the emotions of a human face. Aside from happiness, sorrow, and rage, it also scans for microexpressions like disdain and contempt. Besides this, the emotion detection and recognition technology is employed to identify behavioral patterns and analyze the gestures and postures of the body. As a result, it is extensively used across numerous industries, such as law and enforcement, marketing and advertising, medical care, etc.

Emotion Detection and Recognition Market Trends:

The escalating demand for enhanced client experiences and the increasing requirement for a human touch in digital interactions are primarily driving the global emotion detection and recognition market. In line with this, the inflating utilization of EDR across several verticals to record microexpressions and assess customer feedback about products and services is also propelling the market growth. Furthermore, the rising integration of EDR with wearable devices to capture physiological and behavioral data in order to analyze and generate automated responses based on emotion is acting as another growth-inducing factor. Besides this, the widespread adoption of emotion detection and recognition solutions by several government agencies to monitor crowd behavior and detect possible threats is also stimulating the global market. Moreover, the escalating usage of EDR software systems in smart cars to provide real-time facial analysis for monitoring behavior and alerting the driver whenever required, is further creating a positive outlook for the market. Additionally, numerous technological advancements, including the adoption of deep learning and AI algorithms to improve outcomes, are expected to drive the global emotion detection and recognition market over the forecasted period.

Key Market Segmentation:

Breakup by Component:

  • Software Tools
  • Facial Expression Recognition
  • Bio-Sensing Software Tools and Apps
  • Speech and Voice Recognition
  • Services
  • Storage and Maintenance
  • Consulting and Integration

Breakup by Technology:

  • Pattern Recognition Network
  • Machine Learning
  • Natural Language Processing
  • Bio-Sensors Technology
  • Feature Extraction and 3D Modelling
  • Others

Breakup by Application:

  • Law Enforcement, Surveillance and Monitoring
  • Marketing and Advertising
  • Media and Entertainment
  • Others

Breakup by End User:

  • Government
  • Healthcare
  • Retail
  • Entertainment
  • Transportation
  • Defence and Security Agency
  • Education
  • Others

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Affectiva (Smart Eye AB), Cognitec Systems GmbH (SALTO Systems), Emotibot Technologies Limited, Eyeris Technologies Inc., International Business Machines Corporation, Kairos AR Inc., NEC Corporation (AT&T Corporation), Noldus Information Technology bv, NVISO SA, Paravision, Realeyes, Sightcorp BV and SkyBiometry.

Key Questions Answered in This Report

  • 1.What was the size of the global emotion detection and recognition market in 2024?
  • 2.What is the expected growth rate of the global emotion detection and recognition market during 2025-2033?
  • 3.What are the key factors driving the global emotion detection and recognition market?
  • 4.What has been the impact of COVID-19 on the global emotion detection and recognition market?
  • 5.What is the breakup of the global emotion detection and recognition market based on the component?
  • 6.What is the breakup of the global emotion detection and recognition market based on the technology?
  • 7.What are the key regions in the global emotion detection and recognition market?
  • 8.Who are the key players/companies in the global emotion detection and recognition market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Emotion Detection and Recognition Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software Tools
    • 6.1.1 Market Trends
    • 6.1.2 Key Segments
      • 6.1.2.1 Facial Expression Recognition
      • 6.1.2.2 Bio-Sensing Software Tools and Apps
      • 6.1.2.3 Speech and Voice Recognition
    • 6.1.3 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Storage and Maintenance
      • 6.2.2.2 Consulting and Integration
    • 6.2.3 Market Forecast

7 Market Breakup by Technology

  • 7.1 Pattern Recognition Network
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Machine Learning
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Natural Language Processing
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Bio-Sensors Technology
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Feature Extraction and 3D Modelling
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Others
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Law Enforcement, Surveillance and Monitoring
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Marketing and Advertising
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Media and Entertainment
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Others
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast

9 Market Breakup by End User

  • 9.1 Government
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Healthcare
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Retail
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Entertainment
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Transportation
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Defence and Security Agency
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 Education
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast
  • 9.8 Others
    • 9.8.1 Market Trends
    • 9.8.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Affectiva (Smart Eye AB)
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
    • 15.3.2 Cognitec Systems GmbH (SALTO Systems)
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
    • 15.3.3 Emotibot Technologies Limited
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
    • 15.3.4 Eyeris Technologies Inc.
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 International Business Machines Corporation
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 Kairos AR Inc.
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
    • 15.3.7 NEC Corporation (AT&T Corporation)
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Noldus Information Technology bv
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
    • 15.3.9 NVISO SA
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
    • 15.3.10 Paravision
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
    • 15.3.11 Realeyes
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
    • 15.3.12 Sightcorp BV
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
    • 15.3.13 SkyBiometry
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦