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세계의 감정 인식용 인공지능(AI) 시장 보고서(2025년)
Artificial Intelligence In Emotion Recognition Global Market Report 2025
상품코드 : 1681796
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

감정 인식용 인공지능(AI) 시장 규모는 향후 수년간 급성장이 전망됩니다. 2029년까지 CAGR 17.8%로 성장할 전망이며, 27억 8,000만 달러로 성장이 예측됩니다. 예측 기간의 성장은, 웨어러블 디바이스와의 통합, 자동차 산업 용도 확대, 이문화 적응의 강화, 인적 자원에 있어서 사용 증가, 버추얼 어시스턴트에 대한 짜임새 등에 기인할 것으로 보입니다. 예측 기간 주요 동향으로는 얼굴 인식 기술의 진보, 멀티모달 감정 인식, 실시간 감정 분석, AI 주도의 개인화, 휴먼 컴퓨터 인터랙션에서의 감정 인식 등이 있습니다.

정교한 마케팅 도구에 대한 수요 증가는 감정 인식용 인공지능의 성장을 당분간 견인할 태세입니다. 세련된 마케팅 툴은 마케팅 전략, 캠페인, 전체적인 퍼포먼스의 다양한 측면을 향상시키도록 설계된 기술적으로 고도의 솔루션 범위를 포함합니다. 이러한 상황에서 중요한 요소인 감정 인식 기술은 마케팅 담당자가 개인의 감정적인 반응을 이해함으로써 개인화된 캠페인을 만들 수 있도록 합니다. 이 기능을 통해 특정 시청자층의 감정 프로파일에 맞춘 콘텐츠 및 광고가 가능해져 보다 효과적이고 공명적인 커뮤니케이션이 촉진됩니다. 2024년 1월 발표된 인플루언서 마케팅 허브에서 보고된 바와 같이 60% 이상의 기업이 마케팅에 AI를 활용하고 44%가 콘텐츠 제작에 AI를 채용하고 있습니다. 이번 예측에서는, 2030년까지 약 70%의 기업이 다양한 형태의 AI 기술을 도입할 것이라고 예측하고 있습니다. 따라서 고도의 마케팅 툴에 대한 요구가 높아지는 것이 감정인식용 인공지능의 활용을 촉진할 것으로 예상됩니다.

감정 인식용 인공지능(AI) 시장에 종사하는 저명한 기업은 AI 기반 시청자 세분화의 개발로 대표되는 AI의 기술적 진보에 앞장서고 있습니다. 이 접근법은 감정 인식의 정밀도 및 개인화를 강화하여 보다 효과적이고 맞춤형 감정 인식 제품을 가능하게 하는 것을 목적으로 하고 있습니다. AI 기반 오디언스 부문은 인공지능 알고리즘을 활용해 타깃 오디언스를 다양한 기준에 따라 명확하고 의미 있는 그룹으로 분류합니다. 2023년 9월, 프랑스를 거점으로 하는 고객 체험 최적화 기업 AB Tasty는, 감정적 요구에 근거하는 AI 주도의 오디언스 세분화를 실시하기 위한 기술 Emotions AI를 발표했습니다. 이 혁신적인 제품은 AB Tasty가 디지털 체험을 강화하기 위해 AI를 활용하는 최초의 벤처이며, 브랜드에 대해 감정적인 수준으로 인터랙션을 개인화하는 기능을 제공합니다. Emotions AI는 승률 향상과 고객 경험을 개인화하기 위한 보다 효과적인 전략 수립을 촉진하고 수익을 촉진하는 방법임을 증명합니다. 이 기술은 감정적인 요구에 초점을 맞춤으로써 고객 경험을 커스터마이징하는 브랜드의 능력에 혁명을 가져옵니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

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

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 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 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Artificial Intelligence (AI) in emotion recognition involves the utilization of advanced technologies, algorithms, and machine learning techniques to analyze and interpret human emotions. The primary objective is to equip machines with the capability to recognize, understand, and respond to human emotions, relying on various cues such as facial expressions, voice tones, gestures, and physiological signals.

The primary components of artificial intelligence in emotion recognition consist of software and services. Emotion recognition or emotion detection software encompasses technology that utilizes AI and machine learning algorithms to analyze and interpret facial expressions and emotions. Various tools within this domain include facial expression recognition, speech and voice recognition, gesture recognition, and posture recognition, integrated with technologies such as machine learning, biosensor technology, natural language processing, feature extraction, and pattern recognition. These tools find applications in diverse fields such as marketing and advertising, surveillance and monitoring, medical emergencies, robotics and eLearning, and other sectors. End-use verticals benefiting from these applications include banking, financial services, and insurance (BFSI), healthcare and life sciences, IT and telecommunication, retail and eCommerce, education, media and entertainment, automotive, among others.

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

The artificial intelligence in emotion recognition market size has grown rapidly in recent years. It will grow from $1.22 billion in 2024 to $1.44 billion in 2025 at a compound annual growth rate (CAGR) of 17.9%. The growth in the historic period can be attributed to increased availability of diverse datasets, rise in the adoption of deep learning, integration with human-computer interaction, demand for customer experience enhancement, applications in mental health.

The artificial intelligence in emotion recognition market size is expected to see rapid growth in the next few years. It will grow to $2.78 billion in 2029 at a compound annual growth rate (CAGR) of 17.8%. The growth in the forecast period can be attributed to integration with wearable devices, expansion in automotive industry applications, enhanced cross-cultural adaptation, rising use in human resources, incorporation into virtual assistants. Major trends in the forecast period include advancements in facial recognition technology, multimodal emotion recognition, real-time emotion analysis, ai-driven personalization, emotion recognition in human-computer interaction.

The increasing demand for sophisticated marketing tools is poised to drive the growth of artificial intelligence in the emotion recognition market in the foreseeable future. Sophisticated marketing tools encompass a range of technologically advanced solutions designed to elevate various facets of marketing strategies, campaigns, and overall performance. Emotion recognition technology, a key component in this landscape, empowers marketers to craft personalized campaigns by comprehending individual emotional responses. This capability allows for tailored content and advertisements that align with the emotional profiles of specific audience segments, facilitating more effective and resonant communication. As reported in a January 2024 Influencer Marketing Hub publication, over 60% of businesses utilize AI in marketing, with 44% employing AI for content production. The forecast anticipates that by 2030, approximately 70% of companies will likely embrace diverse forms of AI technology. Hence, the growing need for advanced marketing tools is expected to steer the utilization of artificial intelligence in the emotion recognition market.

Prominent companies engaged in the artificial intelligence in emotion recognition market are spearheading technological advancements in AI, exemplified by the development of AI-based audience segmentation. This approach aims to enhance the precision and personalization of emotion recognition, enabling more effective and customized emotion recognition products. AI-based audience segmentation involves utilizing artificial intelligence algorithms to categorize a target audience into distinct and meaningful groups based on various criteria. In September 2023, AB Tasty, a France-based customer experience optimization company, unveiled EmotionsAI, a technology empowering customers to implement AI-driven audience segmentation based on emotional needs. This innovative product marks AB Tasty's inaugural venture into leveraging AI for enhanced digital experiences, providing brands the capability to personalize interactions on an emotional level. EmotionsAI facilitates improved win rates and the formulation of more effective strategies for personalizing customer experiences, proving to be a method conducive to driving revenue. This technology revolutionizes brands' ability to tailor customer experiences by focusing on emotional needs.

In February 2024, SynSense, a China-based leader in ultra-low-power neuromorphic processing, acquired iniVation AG, a Switzerland-based neuromorphic vision company, for an undisclosed amount. This acquisition aims to advance the development of low-power, high-speed eye-tracking devices, leveraging both companies' expertise to create real-time tracking solutions for augmented and virtual reality (AR and VR) applications. Building on previous innovations, including their work with the Speck platform, SynSense plans to integrate iniVation's neuromorphic vision technology to enhance accuracy and responsiveness in eye-tracking, thus improving user experience and expanding the possibilities for AR and VR interfaces.

Major companies operating in the artificial intelligence in emotion recognition market report are Apple Inc., Google LLC, Microsoft Corporation, Intel Corporation, International Business Machines Corporation, NEC Corporation, SoftBank Robotics Group Corp., Tobii AB, Entropik Technologies Pvt. Ltd., Kairos Inc., Raydiant Corporation, Neurotechnology, Noldus Information Technology BV, Cognitec Systems GmbH, Affectiva Inc., GestureTek Inc., Ayonix Corporation, iMotions Inc., Sony Depthsense Solutions, Elliptic Labs AS

North America was the largest region in the artificial intelligence in emotion recognition market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in emotion recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The artificial intelligence in the emotion recognition market consists of revenues earned by entities by providing services such as emotion recognition software development, sentiment analysis services, training and consultancy, maintenance, and support. 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 artificial intelligence in the emotion recognition market consists of sales of human-computer interaction devices and consumer electronics with emotion recognition features. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Artificial Intelligence In Emotion 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 artificial intelligence in emotion 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 artificial intelligence in emotion recognition ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in emotion 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

4) By Application; Marketing And Advertising; Surveillance And Monitoring; Medical Emergency; Robotics And eLearning; Other Applications

Table of Contents

1. Executive Summary

2. Artificial Intelligence In Emotion Recognition Market Characteristics

3. Artificial Intelligence In Emotion Recognition Market Trends And Strategies

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

5. Global Artificial Intelligence In Emotion Recognition Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence In Emotion Recognition Market Segmentation

7. Artificial Intelligence In Emotion Recognition Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence In Emotion Recognition Market

9. China Artificial Intelligence In Emotion Recognition Market

10. India Artificial Intelligence In Emotion Recognition Market

11. Japan Artificial Intelligence In Emotion Recognition Market

12. Australia Artificial Intelligence In Emotion Recognition Market

13. Indonesia Artificial Intelligence In Emotion Recognition Market

14. South Korea Artificial Intelligence In Emotion Recognition Market

15. Western Europe Artificial Intelligence In Emotion Recognition Market

16. UK Artificial Intelligence In Emotion Recognition Market

17. Germany Artificial Intelligence In Emotion Recognition Market

18. France Artificial Intelligence In Emotion Recognition Market

19. Italy Artificial Intelligence In Emotion Recognition Market

20. Spain Artificial Intelligence In Emotion Recognition Market

21. Eastern Europe Artificial Intelligence In Emotion Recognition Market

22. Russia Artificial Intelligence In Emotion Recognition Market

23. North America Artificial Intelligence In Emotion Recognition Market

24. USA Artificial Intelligence In Emotion Recognition Market

25. Canada Artificial Intelligence In Emotion Recognition Market

26. South America Artificial Intelligence In Emotion Recognition Market

27. Brazil Artificial Intelligence In Emotion Recognition Market

28. Middle East Artificial Intelligence In Emotion Recognition Market

29. Africa Artificial Intelligence In Emotion Recognition Market

30. Artificial Intelligence In Emotion Recognition Market Competitive Landscape And Company Profiles

31. Artificial Intelligence In Emotion Recognition Market Other Major And Innovative Companies

32. Global Artificial Intelligence In Emotion Recognition Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence In Emotion Recognition Market

34. Recent Developments In The Artificial Intelligence In Emotion Recognition Market

35. Artificial Intelligence In Emotion Recognition Market High Potential Countries, Segments and Strategies

36. Appendix

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