시장보고서 | 연간정보서비스 | 맞춤형시장조사 | 메일링 | 샘플 요청 목록
세계의 감정 감지 및 인식 시장 보고서(2025년)
Emotion Detection And Recognition Global Market Report 2025
상품코드 : 1675219
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
 라이선스 & 가격 (부가세 별도)
US $ 4,490 ￦ 6,527,000
PDF (Single User License) help
PDF 보고서를 1명만 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 6,490 ￦ 9,434,000
PDF (Site License) help
PDF 보고서를 동일 사업장의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 8,490 ￦ 12,341,000
PDF (Enterprise License) help
PDF 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.


ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
ㅁ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송기일은 문의해 주시기 바랍니다.

한글목차

감정 감지 및 인식 시장 규모는 향후 몇 년동안 연평균 16.9%의 성장률을 보이며 2029년에는 587억 3,000만 달러에 달할 것으로 예상됩니다. 예측 기간 동안의 성장은 원격 및 가상 상호작용 증가, 정신 건강 용도에 대한 관심, 교육에의 적용, 자동차 산업에서의 활용 확대, 프라이버시 보호 솔루션 등에 기인하는 것으로 보입니다. 예측 기간의 주요 동향으로는 인공지능(AI) 및 머신러닝(ML)과의 통합, 얼굴 인식 기술의 발전, 웨어러블 기술과의 통합, 얼굴 인식 알고리즘의 발전, 인간과 컴퓨터의 상호 작용에 대한 응용 등을 들 수 있습니다.

감정 감지 및 인식(EDR) 시장의 성장은 IoT 용도 증가와 웨어러블 기기의 채택 증가로 인해 촉진될 것으로 예상됩니다. 이러한 IoT 용도과 웨어러블 기기 채택의 급증은 디지털 프로세스로의 전환, 비용 절감을 통한 생산성 향상, 효율성 향상, 정확한 데이터 수집 및 분석 등의 요인에 의해 이루어지며, IoT와 웨어러블 기기의 보급이 확대됨에 따라 감정 감지 및 인식 기술의 통합이 중요해지고 있습니다. EDR을 IoT 용도과 웨어러블 기기에 원활하게 통합하여 생리적, 행동적 데이터를 수집하고, 반응을 분석하고, 감정에 기반한 자동화된 반응을 생성할 수 있습니다. 이러한 통합은 더 나은 의사결정을 촉진하고 비즈니스 및 제품의 성능과 기능을 향상시킬 수 있는 잠재력을 가지고 있습니다. 예를 들어, 독립적인 리뷰 사이트 DataProt가 2022년 5월에 발표한 데이터에 따르면, 2030년까지 활성 IoT 기기의 수는 254억 대를 넘어설 것으로 예상됩니다. 또한, 2025년까지 매분 15만 2,200개의 IoT 기기가 인터넷에 연결될 것으로 예상되며, IoT 솔루션은 4조-11조 달러의 경제적 가치를 창출할 것으로 예상됩니다. 주목할 만한 점은 83%의 조직이 IoT 기술을 통해 효율성 향상을 경험하고 있다는 점입니다. 이러한 통계는 전 세계적으로 IoT 용도 증가를 뒷받침합니다. 결과적으로 IoT 용도의 확산과 웨어러블 기기의 광범위한 채택은 감정 감지 및 인식(EDR) 시장의 성장을 가속할 태세를 갖추고 있습니다.

디지털화의 급속한 진전은 감정 감지 및 인식(EDR) 시장의 확대를 촉진할 것으로 예상됩니다. 디지털화란 아날로그 정보를 디지털 형식으로 변환하여 데이터, 미디어, 객체를 이산적인 수치로 표현하는 것을 말합니다. 이러한 디지털 환경에서 감정 감지 및 인식(EDR)은 사용자 경험을 개선하고 디지털 상호작용을 조정하는 데 중요한 역할을 합니다. 감정적 단서를 식별하고 이해함으로써 EDR은 보다 개인화되고 공감적인 인간과 컴퓨터의 상호 작용을 가능하게 합니다. 예를 들어, 미국에 본사를 둔 뉴스 서비스 회사 Augusta Free Press의 데이터에 따르면, 2022년 12월 전 세계 디지털 전환에 대한 지출은 약 1조 8,500억 달러로 전년 대비 16% 증가했습니다. 이 데이터는 전 세계적으로 디지털화에 대한 막대한 투자와 집중이 이루어지고 있음을 강조합니다. 조직과 업계가 디지털화를 계속 수용함에 따라 감정 감지 및 인식 기술의 통합이 필수적이며, 이는 전체 EDR 시장의 성장에 기여하고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, Covid와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

LSH
영문 목차

영문목차

Emotion detection and recognition involve the use of technologies such as facial recognition, speech and voice recognition, machine learning, biosensing, and pattern recognition to detect and recognize human emotions. This technique aims to improve decision-making, enhance focus and performance at work, manage stress, and promote healthier and more productive working styles.

The primary software tools for emotion detection and recognition encompass facial expression and emotion recognition, gesture and posture recognition, and voice recognition. Facial Emotion Recognition (FER) is a technology that scrutinizes facial expressions in static images and videos to discern information about an individual's emotional state. The underlying technologies include pattern recognition networks, machine learning, natural language processing, and various other technologies. The main end-users in this domain span commercial, entertainment, retail, and other sectors.

The emotion detection and recognition market research report is one of a series of new reports from The Business Research Company that provides emotion detection and recognition market statistics, including emotion detection and recognition industry global market size, regional shares, competitors with an emotion detection and recognition market share, detailed emotion detection and recognition market segments, market trends and opportunities, and any further data you may need to thrive in the emotion detection and recognition industry. This emotion detection and recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The emotion detection and recognition market size has grown rapidly in recent years. It will grow from $27.64 billion in 2024 to $31.5 billion in 2025 at a compound annual growth rate (CAGR) of 13.9%. The growth in the historic period can be attributed to increasing integration in consumer electronics, rising demand for enhanced customer experience, growing awareness in healthcare.

The emotion detection and recognition market size is expected to see rapid growth in the next few years. It will grow to $58.73 billion in 2029 at a compound annual growth rate (CAGR) of 16.9%. The growth in the forecast period can be attributed to rise of remote and virtual interactions, focus on mental health applications, application in education, expanding use in automotive industry, privacy-preserving solutions. Major trends in the forecast period include integration with artificial intelligence (AI) and machine learning (ML), advancements in facial recognition technology, integration with wearable technology, advancements in facial recognition algorithms, application in human-computer interaction.

The growth of the emotion detection and recognition (EDR) market is expected to be propelled by the increasing applications of IoT and the adoption of wearable devices. This surge in IoT applications and wearable device adoption is driven by factors such as the shift towards digital processes, enhanced productivity with reduced costs, improved efficiency, and accurate data collection and analysis. As IoT and wearable devices become more prevalent, the integration of emotion detection and recognition technologies becomes crucial. EDR can be seamlessly incorporated into IoT applications and wearable devices to capture physiological and behavioral data, analyze responses, and generate automated responses based on emotions. This integration holds the potential to facilitate better decision-making and enhance the performance and functionalities of businesses or products. For example, data published in May 2022 by an independent review site, DataProt, revealed that the number of active IoT devices is anticipated to exceed 25.4 billion by 2030. Additionally, by 2025, 152,200 IoT devices are expected to connect to the internet every minute, and IoT solutions could generate $4-11 trillion in economic value. Notably, 83% of organizations have experienced improved efficiency through IoT technology. These statistics underline the global increase in IoT applications. Consequently, the growing prevalence of IoT applications and the widespread adoption of wearable devices are poised to drive the growth of the emotion detection and recognition (EDR) market.

The rapid growth in digitization is expected to drive the expansion of the emotion detection and recognition (EDR) market. Digitization involves the conversion of analog information into a digital format, representing data, media, or objects using discrete numerical values. Within this digital landscape, emotion detection and recognition (EDR) play a crucial role in enhancing user experiences and tailoring digital interactions. By discerning and understanding emotional cues, EDR enables more personalized and empathetic human-computer interactions. For example, data from Augusta Free Press, a US-based news service company, reported that global digital transformation spending reached approximately $1.85 trillion in December 2022, marking a 16% increase compared to the previous year. This data underscores the significant investment and emphasis on digitization globally. As organizations and industries continue to embrace digitization, the integration of emotion detection and recognition technologies becomes instrumental, contributing to the overall growth of the EDR market.

The widespread use of emotion detection and recognition (EDR) in smart cars stands out as a significant and increasingly popular trend in the emotion detection and recognition market. Smart cars, equipped with advanced electronics, technology, and software, aim to enhance mobility and safety. EDR plays a crucial role in these vehicles by recognizing the emotions of drivers. This application extends from detecting signs of drowsiness for driver safety to identifying whether the driver is attentive or distracted while driving, ultimately contributing to the creation of a highly personalized and intimate driving experience. In practical terms, an EDR software system installed in a device within the smart car collects real-time data on driver behavior through facial analysis. It then alerts the driver, ensuring safety on the road. As an example, Smart Eye, a Swedish AI company, offers Interior Sensing solutions based on Emotion AI through its subsidiary Affectiva. This solution integrates a camera and sensors in the car, capturing data through facial analysis of the driver to enhance road safety and elevate the overall mobility experience. This trend reflects the increasing integration of EDR in the automotive industry, particularly in smart cars, to prioritize driver safety and deliver a more personalized driving environment.

Leading companies in the emotion detection and recognition (EDR) market are advancing technology by developing models to identify user emotions, aiming to enhance user experience, boost customer engagement, and support personalized interactions across sectors like marketing, healthcare, and entertainment. Emotion-detection models are computational frameworks or algorithms that process data-such as facial expressions, voice tone, physiological signals, or text input-to recognize and interpret individuals' emotional states. For example, in May 2024, OpenAI, a US-based tech company, introduced GPT-4o, a model capable of detecting user emotions. GPT-4o is an advanced AI system that leverages cutting-edge machine learning techniques to analyze and interpret emotions from various inputs, including text and voice. Using deep learning algorithms, GPT-4o identifies emotional cues, enabling more empathetic and contextually aware interactions. This innovation aims to improve user experience by tailoring responses to users' emotional states, enhancing engagement in applications like customer support, mental health assistance, and interactive storytelling.

In January 2022, Raydiant, a US-based company specializing in cloud-based digital signage technology for retail businesses and restaurants, acquired Sightcorp for an undisclosed amount. This strategic move involves integrating Sightcorp's AI-powered analytics software into Raydiant's experience management platform. The objective is to provide anonymous in-store screen engagement analytics, enabling brands to enhance sales and deliver optimized content while prioritizing consumer privacy. Sightcorp, based in the Netherlands, is recognized for its expertise in AI-powered emotion recognition software.

Major companies operating in the emotion detection and recognition market include Apple Inc., IBM Corporation, Emotional AI, Emteq Limited, NVISO SA, Tobii AB, Cogito Corporation, Paravision Inc., Noldus Information Technology BV, Entropik Technologies Pvt. Ltd., Xpression Technologies Pte. Ltd., Cognitec Systems GmbH, Realeyes OU, B-Yond, Affectiva lnc., Beyond Verbal Communications Ltd., iMotions A/S, Ayonix Corporation, CrowdEmotion Ltd., Sentiance NV, Sightcorp BV, SkyBiometry, Nemesysco Ltd., Sension Technologies Inc., Vokaturi BVBA, Emotion AI Limited, Kairos AR Inc., Emotion Research Lab S.L, Eyeris Technologies Inc., EmoGraphy Private Limited, Emotion Technology Ltd.

North America was the largest region in the emotion detection and recognition market in 2024. The regions covered in the emotion detection and recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the emotion detection and recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The emotion detection and recognition market includes revenues earned by entities by identification and recognition of human emotions using technological tools such as biosensing, machine learning, speech and voice recognition, facial recognition, and pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Emotion Detection And Recognition Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on emotion detection and recognition market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for emotion detection and recognition ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The emotion detection and recognition market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Emotion Detection And Recognition Market Characteristics

3. Emotion Detection And Recognition Market Trends And Strategies

4. Emotion Detection And Recognition Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Emotion Detection And Recognition Growth Analysis And Strategic Analysis Framework

6. Emotion Detection And Recognition Market Segmentation

7. Emotion Detection And Recognition Market Regional And Country Analysis

8. Asia-Pacific Emotion Detection And Recognition Market

9. China Emotion Detection And Recognition Market

10. India Emotion Detection And Recognition Market

11. Japan Emotion Detection And Recognition Market

12. Australia Emotion Detection And Recognition Market

13. Indonesia Emotion Detection And Recognition Market

14. South Korea Emotion Detection And Recognition Market

15. Western Europe Emotion Detection And Recognition Market

16. UK Emotion Detection And Recognition Market

17. Germany Emotion Detection And Recognition Market

18. France Emotion Detection And Recognition Market

19. Italy Emotion Detection And Recognition Market

20. Spain Emotion Detection And Recognition Market

21. Eastern Europe Emotion Detection And Recognition Market

22. Russia Emotion Detection And Recognition Market

23. North America Emotion Detection And Recognition Market

24. USA Emotion Detection And Recognition Market

25. Canada Emotion Detection And Recognition Market

26. South America Emotion Detection And Recognition Market

27. Brazil Emotion Detection And Recognition Market

28. Middle East Emotion Detection And Recognition Market

29. Africa Emotion Detection And Recognition Market

30. Emotion Detection And Recognition Market Competitive Landscape And Company Profiles

31. Emotion Detection And Recognition Market Other Major And Innovative Companies

32. Global Emotion Detection And Recognition Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Emotion Detection And Recognition Market

34. Recent Developments In The Emotion Detection And Recognition Market

35. Emotion Detection And Recognition Market High Potential Countries, Segments and Strategies

36. Appendix

(주)글로벌인포메이션 02-2025-2992 kr-info@giikorea.co.kr
ⓒ Copyright Global Information, Inc. All rights reserved.
PC버전 보기