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세계의 감정 감지 및 감정 인식 시장(2020-2026년)

Global Emotion Detection and Recognition Market 2020-2026

리서치사 Orion Market Research Pvt Ltd
발행일 2020년 06월 상품 코드 949631
페이지 정보 영문
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세계의 감정 감지 및 감정 인식 시장(2020-2026년) Global Emotion Detection and Recognition Market 2020-2026
발행일 : 2020년 06월 페이지 정보 : 영문

세계 감정 감지 및 감정 인식 시장은 예측기간 중 최고의 성장을 나타낼 것으로 예측됩니다. 시장 성장을 촉진하는 몇 가지 중요 요인으로는 얼굴 인식 기술 응용 확대와 AI 기술 도입 확대가 있습니다. 환자 상태를 보다 잠재적으로 추적/감시하는 AI 기반 테크놀러지를 향한 새로운 움직임이 있습니다. AI 테크놀러지는 소프트웨어와 알고리즘을 이용하여 복잡한 의료 데이터를 분석하기 위해 헬스케어 업계에서 필수적인 툴임이 증명되고 있습니다. AI 기반 애플리케이션과 테크놀러지는 당뇨병성 안질환이나 심장병 등의 질환을 탐지하기 위해서 폭넓게 채택되고 있습니다. 진단, 치료, 의약품 개발, 환자 건강 상태 모니터링을 지원하고, 맞춤형 의료에 기여합니다.

지역별로는 아시아태평양이 스마트폰 보급률 상승과 첨단 웨어러블 기기 수요 증가에 의해 예측기간 중 시장에서 잠재적인 성장을 볼 수 있을 것으로 추정됩니다. 스마트폰 제조업체는 아시아태평양 대규모 소비자 기반 모아 두어 아시아태평양 국가에서의 제품 발매 강화에 중점을 두고 있습니다. 예를 들어, 2018년 4월에 인도에서 Oppo는 AI 테크놀러지를 탑재한 F7를 발매했습니다. 이것은 보다 정확한 얼굴 인식 기능, 사용자 선호에 근거한 자기 학습 기능과 즐거운 기능을 제공합니다. 얼굴 인식 기술 응용 확대와 1인당 소득 증가, 첨단 스마트폰 수요 증가가 이 지역 시장의 성장에 기여하고 있습니다.

세계의 감정 감지(Emotion Detection) 및 감정 인식(Emotion Recognition) 시장에 대해 조사했으며, 시장 개요, 소프트웨어별, 최종사용자별, 지역별 동향, 경쟁 동향 및 시장 진출기업 프로파일 등의 정보를 정리하여 전해드립니다.

목차

제1장 보고서 개요

제2장 시장 개요 및 인사이트

  • 조사 범위
  • 애널리스트 인사이트와 현재 시장 동향

제3장 경쟁 구도

  • 기업 점유율 분석
  • 주요 전략 분석
  • 주요 기업 분석
    • Microsoft Corp.
    • Google LLC
    • IBM Corp.
    • Tobii AB
    • Affectiva Inc.

제4장 시장 결정요인

동기

억제요인

기회

제5장 시장 세분화

  • 소프트웨어별 시장
    • 얼굴 인식
    • 언어/음성 인식
    • 바이오센싱
    • 기타
  • 최종사용자별 시장
    • 상업
    • 방위
    • 산업
    • 기타

제6장 지역 분석

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 이탈리아
    • 스페인
    • 프랑스
    • 기타 유럽 국가
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 기타 아시아태평양
  • 기타 지역

제7장 기업 개요

  • Affectiva, Inc.
  • Amazon Web Services, Inc.
  • Apple Inc.
  • audEERING GmbH
  • Ayonix Corp.
  • Cognitec Systems GmbH
  • Element Human Ltd(a Crowd Emotion Company)
  • Emotibot Technologies Ltd.
  • Eyeris
  • Eyesight Technologies Ltd.
  • Google LLC
  • IBM Corp.
  • iMotions A/S
  • Kairos AR, Inc.
  • Kia Motors Corp.
  • Microsoft Corp.
  • NEC Corp.
  • Noldus Information Technology BV
  • NVISO SA
  • Realeyes OU
  • Sentiance NV
  • Sightcorp B.V.
  • Tobii AB
  • Vocalis Health
LSH 20.08.06

LIST OF TABLES

  • 1. GLOBAL EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY SOFTWARE, 2019-2026 ($ MILLION)
  • 2. GLOBAL FACIAL RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 3. GLOBAL SPEECH AND VOICE RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 4. GLOBAL BIOSENSING MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 5. GLOBAL OTHER SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 6. GLOBAL EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY END-USER, 2019-2026 ($ MILLION)
  • 7. GLOBAL EMOTION DETECTION AND RECOGNITION IN COMMERCIAL MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 8. GLOBAL EMOTION DETECTION AND RECOGNITION IN DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 9. GLOBAL EMOTION DETECTION AND RECOGNITION IN INDUSTRIAL MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 10. GLOBAL EMOTION DETECTION AND RECOGNITION IN OTHER END-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2019-2026 ($ MILLION)
  • 11. GLOBAL EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2019-2026 ($ MILLION)
  • 12. NORTH AMERICAN EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2019-2026 ($ MILLION)
  • 13. NORTH AMERICAN EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY SOFTWARE, 2019-2026 ($ MILLION)
  • 14. NORTH AMERICAN EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY END-USER, 2019-2026 ($ MILLION)
  • 15. EUROPEAN EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2019-2026 ($ MILLION)
  • 16. EUROPEAN EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY SOFTWARE, 2019-2026 ($ MILLION)
  • 17. EUROPEAN EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY END-USER, 2019-2026 ($ MILLION)
  • 18. ASIA-PACIFIC EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2019-2026 ($ MILLION)
  • 19. ASIA-PACIFIC EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY SOFTWARE, 2019-2026 ($ MILLION)
  • 20. ASIA-PACIFIC EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY END-USER, 2019-2026 ($ MILLION)
  • 21. REST OF THE WORLD EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY SOFTWARE, 2019-2026 ($ MILLION)
  • 22. REST OF THE WORLD EMOTION DETECTION AND RECOGNITION MARKET RESEARCH AND ANALYSIS BY END-USER, 2019-2026 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL EMOTION DETECTION AND RECOGNITION MARKET SHARE BY SOFTWARE, 2019 VS 2026 (%)
  • 2. GLOBAL EMOTION DETECTION AND RECOGNITION MARKET SHARE BY END-USER, 2019 VS 2026 (%)
  • 3. GLOBAL EMOTION DETECTION AND RECOGNITION MARKET SHARE BY GEOGRAPHY, 2019 VS 2026 (%)
  • 4. US EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 5. CANADA EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 6. UK EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 7. FRANCE EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 8. GERMANY EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 9. ITALY EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 10. SPAIN EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 11. ROE EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 12. INDIA EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 13. CHINA EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 14. JAPAN EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 15. REST OF ASIA-PACIFIC EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)
  • 16. REST OF THE WORLD EMOTION DETECTION AND RECOGNITION MARKET SIZE, 2019-2026 ($ MILLION)

Global Emotion Detection and Recognition Market Size, Share & Trends Analysis Report, By Software (Facial Recognition, Speech and Voice Recognition, Biosensing, and Others), By End-User (Commercial, Defense, Industrial, and Others) and Forecast, 2020-2026

The global emotion detection and recognition market is estimated to witness optimal growth during the forecast period. Some crucial factors encouraging market growth include the rising application of facial recognition technology and the increasing adoption of AI technologies. There is an emerging trend towards AI-based technology to track and monitor the patients' condition more potentially. AI technology has been proved to be an essential tool in the healthcare industry as it utilizes software and algorithms to analyze complex medical data. AI-based applications and technologies are adopted with significant pace for detecting diseases, such as diabetic eye and cardiac diseases among patients. It supports the diagnosis, treatment, drug development, monitoring patient's health and contribute to personalized medicines.

The demand for advanced diagnostic tools for cardiac diseases has been increasing over the last decade. As a result, the manufacturers of AI-based tools are focusing on the development of AI-based ECG software and wearable devices that can support to track and monitor the patients' condition more effectively. These tools are capable of identifying abnormal heart rhythms and mechanical dysfunction and making critical healthcare decisions. Rising funding opportunity for AI-based wearable ECG devices is expected to offer an opportunity for the global emotion detection and recognition market. ECG is the most significantly utilized biosensor as ECG signals are less noisy and contain emotion-related information. Therefore, it has a crucial role in the diagnosis and management of the condition.

Geographically, Asia-Pacific is estimated to witness potential growth in the market during the forecast period owing to the rising penetration of smartphones and increasing demand for advanced wearable devices. The smartphone manufacturers are significantly focusing on increasing product launches in Asia-Pacific countries owing to the large consumer base in the region. For instance, in April 2018, in India, Oppo launched F7 powered by AI technology that offers more accurate facial recognition capability, self-learning capabilities based on user preferences along with added fun features. The increasing application of facial recognition technology and augmenting demand for advanced smartphones coupled with the increasing per capita income is contributing to the market growth in the region.

Some crucial players in the market include Microsoft Corp., Google LLC, IBM Corp., Tobii AB, and Affectiva Inc. Mergers and acquisitions, partnerships and collaborations, and product launches are some crucial strategies adopted by the market players to increase market share. For instance, in July 2018, Kairos AR, Inc. acquired EmotionReader, a startup in Israel that employs algorithms for the analysis of facial expressions around video content. Under the agreement, Kairo combined its R&D team into a new Singapore office and working to develop more accurate facial recognition systems in real-world conditions.

Research Methodology

The market study of the global emotion detection and recognition market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders and industry experts. Primary research brings authenticity in our reports.

Secondary Sources Include:

  • Financial reports of companies involved in the market
  • Authentic public databases
  • Whitepapers, research-papers, and news blogs
  • Company websites and their product catalog

The report provides in-depth analysis on market size, intended quality of the service preferred by consumers. The report will serve as a source for 360-degree analysis of the market thoroughly integrating different models.

Market Segmentation:

  • Global Emotion Detection and Recognition Market Research and Analysis, By Software
  • Global Emotion Detection and Recognition Market Research and Analysis, By End-User

The Report Covers:

  • Comprehensive research methodology of the global emotion detection and recognition market.
  • This report also includes a detailed and extensive market overview with key analyst insights.
  • Exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
  • Analysis of regional regulations and other government policies impacting the global emotion detection and recognition market.
  • Insights about market determinants which are stimulating the global emotion detection and recognition market.
  • Detailed and extensive market segments with regional distribution of forecast revenues.
  • Extensive profiles and recent developments of market players.

Table of Contents

1. Report Summary

  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Geography

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Company Share Analysis
  • 3.2. Key Strategy Analysis
  • 3.3. Key Company Analysis
    • 3.3.1. Microsoft Corp.
      • 3.3.1.1. Overview
      • 3.3.1.2. Financial Analysis
      • 3.3.1.3. SWOT Analysis
      • 3.3.1.4. Recent Developments
    • 3.3.2. Google LLC
      • 3.3.2.1. Overview
      • 3.3.2.2. Financial Analysis
      • 3.3.2.3. SWOT Analysis
      • 3.3.2.4. Recent Developments
    • 3.3.3. IBM Corp.
      • 3.3.3.1. Overview
      • 3.3.3.2. Financial Analysis
      • 3.3.3.3. SWOT Analysis
      • 3.3.3.4. Recent Developments
    • 3.3.4. Tobii AB
      • 3.3.4.1. Overview
      • 3.3.4.2. Financial Analysis
      • 3.3.4.3. SWOT Analysis
      • 3.3.4.4. Recent Developments
    • 3.3.5. Affectiva Inc.
      • 3.3.5.1. Overview
      • 3.3.5.2. Financial Analysis
      • 3.3.5.3. SWOT Analysis
      • 3.3.5.4. Recent Developments

4. Market Determinants

  • 4.1 Motivators
  • 4.2 Restraints
  • 4.3 Opportunities

5. Market Segmentation

  • 5.1. Global Emotion Detection and Recognition Market by Software
    • 5.1.1. Facial Recognition
    • 5.1.2. Speech and Voice Recognition
    • 5.1.3. Biosensing
    • 5.1.4. Others
  • 5.2. Global Emotion Detection and Recognition Market by End-User
    • 5.2.1. Commercial
    • 5.2.2. Defense
    • 5.2.3. Industrial
    • 5.2.4. Others

6. Regional Analysis

  • 6.1. North America
    • 6.1.1. United States
    • 6.1.2. Canada
  • 6.2. Europe
    • 6.2.1. UK
    • 6.2.2. Germany
    • 6.2.3. Italy
    • 6.2.4. Spain
    • 6.2.5. France
    • 6.2.6. Rest of Europe
  • 6.3. Asia-Pacific
    • 6.3.1. China
    • 6.3.2. India
    • 6.3.3. Japan
    • 6.3.4. Rest of Asia-Pacific
  • 6.4. Rest of the World

7. Company Profiles

  • 7.1. Affectiva, Inc.
  • 7.2. Amazon Web Services, Inc.
  • 7.3. Apple Inc.
  • 7.4. audEERING GmbH
  • 7.5. Ayonix Corp.
  • 7.6. Cognitec Systems GmbH
  • 7.7. Element Human Ltd (a Crowd Emotion Company)
  • 7.8. Emotibot Technologies Ltd.
  • 7.9. Eyeris
  • 7.10. Eyesight Technologies Ltd.
  • 7.11. Google LLC
  • 7.12. IBM Corp.
  • 7.13. iMotions A/S
  • 7.14. Kairos AR, Inc.
  • 7.15. Kia Motors Corp.
  • 7.16. Microsoft Corp.
  • 7.17. NEC Corp.
  • 7.18. Noldus Information Technology BV
  • 7.19. NVISO SA
  • 7.20. Realeyes OU
  • 7.21. Sentiance NV
  • 7.22. Sightcorp B.V.
  • 7.23. Tobii AB
  • 7.24. Vocalis Health
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