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세계의 AI 기반 감정 분석 플랫폼 시장 규모, 점유율, 업계 분석 리포트 : 배포별, 기술별, 최종사용자별, 지역별 전망 및 예측(2025-2032년)

Global AI-powered Emotion Analytics Platform Market Size, Share & Industry Analysis Report By Deployment, By Technology, By End-User, By Regional Outlook and Forecast, 2025 - 2032
발행일: | 리서치사: KBV Research | 페이지 정보: 영문 636 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 AI 기반 감정 분석 플랫폼 시장 규모는 예측 기간 중 17.7%의 CAGR로 시장 성장하며, 2032년까지 265억 4,000만 달러에 달할 것으로 예상되고 있습니다.

주요 하이라이트:

  • 북미 시장은 2024년 세계 시장을 장악하고, 2024년에는 38%의 매출 점유율을 차지했습니다.
  • 미국의 AI 서버 시장은 북미에서 계속 우위를 점할 것으로 예상되며, 2032년까지 시장 규모는 4억 6,710만 달러에 달할 것으로 전망됩니다.
  • 다양한 최종사용자 부문 중 헬스케어 부문이 2024년 매출 점유율 23.13%를 차지하며 세계 시장을 독점했습니다.
  • 기술별로는 얼굴인식 부문이 2032년 26.71%의 매출 점유율을 차지하며 세계 시장을 독점할 것으로 예측됩니다.
  • 클라우드는 2024년 도입 부문을 주도하며 63.63%의 매출 점유율을 차지하며, 예측 기간 중에도 우위를 유지할 것으로 예측됩니다.

감정 컴퓨팅으로도 알려진 인공지능(AI) 감정 분석은 감정 분석과 얼굴 인식의 초창기부터 지금까지 먼 길을 걸어왔습니다. 현재는 얼굴, 음성, 생리적, 행동적 신호를 사용하여 사람의 감정을 파악할 수 있습니다. 이 기술은 실험으로 시작되었지만 지금은 헬스케어, 자동차 안전, 고객 서비스, 미디어, 교육 등의 분야에서 실제 응용에 사용되고 있습니다. 딥러닝, 컴퓨터 비전, 자연 언어 처리, 센서 기술이 모두 향상되었습니다. 이를 통해 자동차, 스마트 기기, 디지털 플랫폼에 강력하고 실시간으로 프라이버시를 보호할 수 있는 시스템을 탑재할 수 있게 되었습니다. 중요한 동향 중 하나는 보다 정확하고 빠르며 프라이버시가 보장되는 멀티모달, 엣지 기반 분석으로 전환하는 것입니다. 동시에 프라이버시, 동의, 편견과 관련된 윤리적, 법적 문제가 개발에 영향을 미치고 있습니다. 정부와 기업은 개방성, 공정성, 책임성을 더욱 중시하고 있습니다.

개인화와 적응형 경험은 시장을 정의하는 또 다른 두 가지 방법입니다. 예를 들어 감정 분석은 헬스케어 개입, 소매업의 고객 여정, 자동차의 안전과 편안함에 변화를 가져옵니다. 전문 알고리즘에 접근하고 기능을 하드웨어에 통합하기 위해 주요 기업은 인수, 제휴 등의 전략을 활용하고 있습니다. 또한 모델의 견고성을 높이고 신뢰를 구축하기 위한 적극적인 거버넌스를 강화하기 위해 연구개발에 투자하고 있습니다. 대형 기술 OEM, 틈새 시장 스타트업, 센서 제조업체, 수직계열화 전문업체들은 모두 치열한 경쟁을 벌이고 있습니다. 성공의 열쇠는 정확성, 규칙 준수, 그리고 사용자의 신뢰 확보에 있습니다. 업계 전반의 파트너십, 적응형 피드백, 멀티모달 분석, 엣지 컴퓨팅의 급속한 발전은 감정 데이터 처리에 대한 도전에 대응하는 동시에 새로운 가능성을 열어가고 있습니다.

COVID-19의 영향 분석

COVID-19 팬데믹 기간 중 기업이 재택근무와 온라인 고객 대응에 적응하면서 감정 분석의 활용이 가속화되었습니다. 기업은 AI 기반 플랫폼을 사용하여 디지털로 감정을 읽음으로써 대면 접촉이 제한적이었던 직원과 고객 간의 커뮤니케이션을 개선할 수 있게 되었습니다. 이러한 툴들은 사람들의 온라인 행동에 대한 유용한 정보를 수집하고, 개인화된 서비스를 제공하고, 직원들의 성과를 파악할 수 있게 해주었습니다. 이 기술은 학교와 병원으로 확산되어 온라인 학습에 대한 학생들의 열정을 측정하고 원격의료에서 의사와 환자 간의 커뮤니케이션을 개선하는 데 도움이 되었습니다. 실시간 감정 데이터는 마케팅, 인사, 고객 서비스에서 신속하고 현명한 의사결정을 내리기 위해 매우 중요해졌습니다. 전반적으로 팬데믹으로 인해 감정 분석이 더욱 가시화되고, 수요가 증가하고, 많은 분야에서 유용하게 사용될 수 있게 되었습니다. 이처럼 COVID-19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.

시장 점유율 분석

기술 전망

기술을 기반으로 AI 기반 감정 분석 플랫폼 시장은 얼굴 인식, 멀티모달 감정 인식, 음성 분석, 텍스트 기반 감정 감지(NLP), 생리적 모니터링(웨어러블, 생체인식)으로 분류됩니다. 멀티모달 감정 인식 부문은 2024년 시장에서 24%의 매출 점유율을 기록할 것으로 예측됩니다. 멀티모달 감정 인식은 얼굴 표정, 목소리 톤, 텍스트 입력, 생리적 신호 등 여러 소스의 데이터를 통합하는 첨단 접근 방식으로 등장했습니다. 이 기술은 감정에 대한 종합적인 뷰를 제공하고 단일 감지 채널에 의존하는 한계를 극복했습니다. 조직은 특히 의료, 교육, 인사 등 복잡한 환경에서 멀티모달 신호를 결합하여 보다 정확한 해석을 실현하는 데 큰 가치를 발견했습니다. 다양한 데이터 포인트 세트를 활용하면 기업은 복잡한 감정, 말투와 얼굴 표정의 미묘한 불일치와 같은 뉘앙스를 감지할 수 있습니다.

최종사용자 전망

AI 기반 감정 분석 플랫폼 시장은 최종사용자를 기준으로 헬스케어, 소매 및 E-Commerce, 자동차 및 운송, 미디어 및 엔터테인먼트, IT(기술 기업, CX 플랫폼, 기업 앱), 교육, 정부 및 공공안전, 은행, 금융서비스 및 보험(BFSI), 기타로 분류됩니다. 분류되어 있습니다. 소매 및 E-Commerce 부문은 2024년 시장에서 20%의 매출 점유율을 기록할 것으로 예측됩니다. 소매 및 E-Commerce 기업은 감정 분석을 통해 디지털 및 물리적 접점 전반에서 고객의 행동, 선호도, 반응에 대한 더 심층 인사이트를 얻고 있습니다. 온라인 쇼핑 플랫폼은 텍스트, 음성, 얼굴 분석을 활용하여 만족도를 측정하고 제품 추천을 개인화하고 있습니다. 물리적 소매 공간에서는 비디오 기반 감정 인식을 통합하여 매장 레이아웃, 제품 디스플레이 또는 광고에 대한 고객의 반응을 추적하고 있습니다.

지역 전망

지역별로 AI 기반 감정 분석 플랫폼 시장은 북미, 유럽, 아시아태평양, LAMEA로 분석되고 있습니다. 북미 부문은 2024년 시장에서 38%의 매출 점유율을 기록했습니다. 북미와 유럽은 AI 감정 분석 시장의 선두 지역입니다. 이는 강력한 기술 인프라가 있고, 많은 사람들이 고급 AI 시스템을 사용하고 있으며, 데이터 프라이버시에 대한 엄격한 규칙이 있기 때문입니다. 북미, 특히 미국에서 감정 분석은 주요 기술 기업과 스타트업의 지원을 받아 헬스케어, 자동차 안전, 고객 경험, 미디어 등의 분야에서 널리 사용되고 있습니다. 한편, 유럽은 규제가 엄격한 환경이며, EU는 윤리적 AI, 데이터 보호, 개방성에 중점을 두고 책임감 있는 사용을 장려하고 있습니다. 독일, 영국, 프랑스는 모두 GDPR(EU 개인정보보호규정)과 새로운 AI 규칙을 준수하면서 자동차, 의료, 공공 서비스에 감정 분석을 통합하기 위한 노력을 기울이고 있습니다.

아시아태평양 및 LAMEA(멕시코 제외)는 기술 사용 인구가 증가하고 이러한 시스템 시장이 확대됨에 따라 빠르게 성장하고 있습니다. 아시아태평양에서는 중국, 일본, 한국, 인도 등의 국가에서 자동차, 학교, 매장, 정신건강 앱 등에서 감정 분석을 활용하고 있습니다. 이는 정부 주도의 AI 프로젝트와 강력한 가전제품 산업 덕분입니다. 브라질, 사우디아라비아, UAE, 남아프리카공화국에서는 도시를 더 스마트하게 만들고, 고객 참여를 높이고, 사람들의 안전을 지키기 위한 프로젝트에서 감정 AI가 점점 더 많이 활용되고 있습니다. 이들 지역에서의 도입은 여전히 증가하고 있지만, 북미와 유럽만큼 빠르지는 않습니다. 그러나 AI 기반 혁신에 대한 관심이 높아지고 디지털 인프라에 대한 투자가 증가함에 따라 이들 지역은 감정 분석 프로바이더들이 성장하기에 최적의 장소가 되고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 시장 동향 - 세계의 AI 기반 감정 분석 플랫폼 시장

제5장 경쟁 상황 - 세계의 AI 기반 감정 분석 플랫폼 시장

제6장 AI 기반 감정 분석 플랫폼 시장의 밸류체인 분석

제7장 제품수명주기(PLC) - AI 기반 감정 분석 플랫폼 시장

제8장 시장 통합 - AI 기반 감정 분석 플랫폼 시장

제9장 주요 고객 기준 - AI 기반 감정 분석 플랫폼 시장

제10장 경쟁 분석 - 세계

  • 시장 점유율 분석 2024
  • Porter's Five Forces 분석

제11장 세계의 AI 기반 감정 분석 플랫폼 시장 : 배포별

  • 세계의 클라우드 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제12장 세계의 AI 기반 감정 분석 플랫폼 시장 : 기술별

  • 세계의 얼굴 인식 시장 : 지역별
  • 세계의 멀티모달 감정 인식 시장 : 지역별
  • 세계의 음성 분석 시장 : 지역별
  • 세계의 텍스트 기반 감정 감지(NLP) 시장 : 지역별
  • 세계의 생리학적 모니터링(웨어러블, 생체인식) 시장 : 지역별

제13장 세계의 AI 기반 감정 분석 플랫폼 시장 : 최종사용자별

  • 세계의 헬스케어 시장 : 지역별
  • 세계의 소매·E-Commerce 시장 : 지역별
  • 세계의 자동차·운송 시장 : 지역별
  • 세계의 미디어 & 엔터테인먼트 시장 : 지역별
  • 글로벌 IT(테크놀러지 기업, CX 플랫폼, 기업 앱) 시장 : 지역별
  • 세계의 교육 시장 : 지역별
  • 세계의 정부 및 공공안전 시장 : 지역별
  • 세계의 BFSI 시장 : 지역별
  • 세계의 기타 최종사용자 시장 : 지역별

제14장 세계의 AI 기반 감정 분석 플랫폼 시장 : 지역별

  • 북미
  • 시장에 영향을 미치는 주요 요인
    • 북미의 AI 기반 감정 분석 플랫폼 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미 지역
  • 유럽
  • 시장에 영향을 미치는 주요 요인
    • 유럽의 AI 기반 감정 분석 플랫폼 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽 지역
  • 아시아태평양
  • 시장에 영향을 미치는 주요 요인
    • 아시아태평양의 AI 기반 감정 분석 플랫폼 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 호주
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
  • 시장에 영향을 미치는 주요 요인
    • 라틴아메리카·중동 및 아프리카의 AI 기반 감정 분석 플랫폼 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카 지역

제15장 기업 개요

  • Runtime Collective Limited(Brandwatch)
  • Sprout Social, Inc
  • IBM Corporation
  • Apple, Inc
  • NEC Corporation
  • Open Text Corporation
  • iMotions A/S(Smart Eye A/S)
  • Lexalytics, Inc(InMoment, Inc.)
  • NVISO SA
  • Emotibot Technologies Limited
  • Microsoft Corporation

제16장 AI 기반 감정 분석 플랫폼 시장의 성공 필수 조건

KSA 25.10.24

The Global AI-powered Emotion Analytics Platform Market size is expected to reach USD 26.54 billion by 2032, rising at a market growth of 17.7% CAGR during the forecast period.

Key Highlights:

  • The North America market dominated the Global Market in 2024, accounting for a 38% revenue share in 2024.
  • The US AI server market is expected to continue its dominance in North America region thereby reaching a market size of 467.1 million by 2032.
  • Among the various End-User segments, the Healthcare dominated the global market contributing a revenue share of 23.13% in 2024.
  • In terms of the Technology segmentation, the Facial Recognition segment is projected to dominate the global market with the projected revenue share of 26.71% in 2032.
  • Cloud led the deployment segments in 2024, capturing a 63.63% revenue share and is projected to continue its dominance during projected period.

Artificial intelligence (AI) emotion analytics, also known as affective computing, has come a long way since the early days of sentiment analysis and facial recognition. Now, it can use facial, voice, physiological, and behavioral signals to figure out how someone is feeling. Technology started out as an experiment, but now it's used in real-world applications in fields like healthcare, automotive safety, customer service, media, and education. Deep learning, computer vision, natural language processing, and sensor technology have all improved. This has made it possible to put strong, real-time, and privacy-aware systems in cars, smart devices, and digital platforms. One important trend is the shift toward multimodal, edge-based analytics that make things more accurate, faster, and private. At the same time, ethical and legal issues about privacy, consent, and bias are affecting development. Governments and businesses are putting more emphasis on openness, fairness, and accountability.

Personalization and adaptive experiences are two more ways to define the market. For example, emotion analytics changes healthcare interventions, customer journeys in retail, and vehicle safety and comfort. To get access to specialized algorithms and embed capabilities into hardware, leading companies use strategies like acquisitions and partnerships. They also invest in research and development to make their models more robust and proactive governance to build trust. Large technology OEMs, niche startups, sensor makers, and vertical specialists are all competing more fiercely with each other. Success depends on being accurate, following the rules, and gaining the trust of users. Cross-industry partnerships and quick progress in adaptive feedback, multimodal analytics, and edge computing keep opening new possibilities while also dealing with the challenges of working with emotional data.

COVID 19 Impact Analysis

As companies adjusted to working from home and dealing with customers online during the COVID-19 pandemic, the use of emotion analytics grew faster. Businesses used AI-powered platforms to read emotions digitally, which improved communication between employees and customers because face-to-face contact was limited. These tools gave us useful information about how people behave online, which let us offer personalized services and keep an eye on how well employees are doing. The technology spread to schools and hospitals, where it helped measure how engaged students were in online learning and improve communication between doctors and patients in telemedicine. Real-time emotional data became very important for making quick, smart decisions in marketing, HR, and customer service. Overall, the pandemic made emotion analytics much more visible, in demand, and useful in many fields. Thus, the COVID -19 pandemic had a Positive impact on the market.

Market Share Analysis

Technology Outlook

Based on Technology, the AI-powered Emotion Analytics Platform Market is segmented into Facial Recognition, Multimodal Emotion Recognition, Speech & Voice Analysis, Text-based Emotion Detection (NLP), and Physiological Monitoring (wearables, biometrics). The Multimodal Emotion Recognition segment witnessed 24% revenue share in the market in 2024. Multimodal emotion recognition emerged as a sophisticated approach by integrating data from multiple sources such as facial expressions, voice tone, text inputs, and physiological signals. This technology provided a holistic view of emotions, overcoming the limitations of relying on a single channel of detection. Organizations found immense value in combining multimodal signals to achieve more accurate interpretations, particularly in complex environments like healthcare, education, and human resources. By leveraging a diverse set of data points, businesses could detect nuances such as mixed emotions or subtle discrepancies between spoken words and facial expressions.

End-User Outlook

Based on End-User, the AI-powered Emotion Analytics Platform Market is segmented into Healthcare, Retail & E-commerce, Automotive & Transportation, Media & Entertainment, IT (tech firms, CX platforms, enterprise apps), Education, Government & Public Safety, BFSI, and Others. The Retail & E-commerce segment witnessed 20% revenue share in the market in 2024. Retail and e-commerce enterprises utilized emotion analytics to gain deeper insight into customer behavior, preferences, and reactions across digital and physical touchpoints. Online shopping platforms leveraged text, voice, and facial analytics to measure satisfaction levels and personalize product recommendations. Physical retail spaces integrated video-based emotion recognition to track customer responses to store layouts, product displays, or advertisements.

Regional Outlook

Region-wise, the AI-powered Emotion Analytics Platform Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 38% revenue share in the market in 2024. North America and Europe are the top regions in the AI emotion analytics market. This is because they have strong technology infrastructure, a lot of people use advanced AI systems, and there are strict rules about data privacy. In North America, especially the US, emotion analytics is widely used in areas like healthcare, automotive safety, customer experience, and media, with support from both big tech companies and new businesses. On the other hand, Europe has a well-regulated environment, and the EU's focus on ethical AI, data protection, and openness encourages responsible use. Germany, the UK, and France are all working to include emotion analytics in their cars, healthcare, and public services while also making sure they follow GDPR and new AI rules.

Asia-Pacific and LAMEA (not including Mexico) are growing quickly because more people are using technology and the markets for these systems are getting bigger. In Asia-Pacific, countries like China, Japan, South Korea, and India are using emotion analytics in cars, schools, stores, and mental health apps. This is possible because of government-led AI projects and strong consumer electronics industries. Brazil, Saudi Arabia, the UAE, and South Africa are all using emotion AI more and more in projects to make cities smarter, engage customers, and keep people safe. Adoption is still growing here, but not as quickly as in North America and Europe. However, the growing focus on AI-driven innovation and the growing investments in digital infrastructure make these areas great places for emotion analytics providers to grow.

List of Key Companies Profiled

  • Runtime Collective Limited (Brandwatch)
  • Sprout Social, Inc.
  • IBM Corporation
  • Apple, Inc.
  • NEC Corporation
  • OpenText Corporation
  • iMotions A/S (Smart Eye A/S)
  • Lexalytics, Inc.
  • NVISO SA
  • Emotibot Technologies Limited
  • Microsoft Corporation

Global AI-powered Emotion Analytics Platform Market Report Segmentation

By Deployment

  • Cloud
  • On-premises

By Technology

  • Facial Recognition
  • Multimodal Emotion Recognition
  • Speech & Voice Analysis
  • Text-based Emotion Detection (NLP)
  • Physiological Monitoring (wearables, biometrics)

By End User

  • Healthcare
  • Retail & E-commerce
  • Automotive & Transportation
  • Media & Entertainment
  • IT (tech firms, CX platforms, enterprise apps)
  • Education
  • Government & Public Safety
  • BFSI
  • Other End-Users

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global AI-powered Emotion Analytics Platform Market, by Deployment
    • 1.4.2 Global AI-powered Emotion Analytics Platform Market, by Technology
    • 1.4.3 Global AI-powered Emotion Analytics Platform Market, by End User
    • 1.4.4 Global AI-powered Emotion Analytics Platform Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - Global AI-powered Emotion Analytics Platform Market

Chapter 5. State of Competition - Global AI-powered Emotion Analytics Platform Market

Chapter 6. Value Chain Analysis of AI-powered Emotion Analytics Platform Market

Chapter 7. Product Life Cycle (PLC) - AI-powered Emotion Analytics Platform Market

Chapter 8. Market Consolidation - AI-powered Emotion Analytics Platform Market

Chapter 9. Key Customer Criteria - AI-powered Emotion Analytics Platform Market

Chapter 10. Competition Analysis - Global

  • 10.1 Market Share Analysis, 2024
  • 10.2 Porter Five Forces Analysis

Chapter 11. Global AI-powered Emotion Analytics Platform Market by Deployment

  • 11.1 Global Cloud Market by Region
  • 11.2 Global On-premises Market by Region

Chapter 12. Global AI-powered Emotion Analytics Platform Market by Technology

  • 12.1 Global Facial Recognition Market by Region
  • 12.2 Global Multimodal Emotion Recognition Market by Region
  • 12.3 Global Speech & Voice Analysis Market by Region
  • 12.4 Global Text-based Emotion Detection (NLP) Market by Region
  • 12.5 Global Physiological Monitoring (wearables, biometrics) Market by Region

Chapter 13. Global AI-powered Emotion Analytics Platform Market by End-User

  • 13.1 Global Healthcare Market by Region
  • 13.2 Global Retail & E-commerce Market by Region
  • 13.3 Global Automotive & Transportation Market by Region
  • 13.4 Global Media & Entertainment Market by Region
  • 13.5 Global IT (tech firms, CX platforms, enterprise apps) Market by Region
  • 13.6 Global Education Market by Region
  • 13.7 Global Government & Public Safety Market by Region
  • 13.8 Global BFSI Market by Region
  • 13.9 Global Other End-Users Market by Region

Chapter 14. Global AI-powered Emotion Analytics Platform Market by Region

  • 14.1 North America AI-powered Emotion Analytics Platform Market
  • 14.2 Key Factors Impacting the Market
    • 14.2.1 Market Drivers
    • 14.2.2 Market Restraints
    • 14.2.3 Market Opportunities
    • 14.2.4 Market Challenges
    • 14.2.5 Market Trends - North America AI-powered Emotion Analytics Platform Market
    • 14.2.6 State of Competition - North America AI-powered Emotion Analytics Platform Market
    • 14.2.7 North America AI-powered Emotion Analytics Platform Market by Deployment
      • 14.2.7.1 North America Cloud Market by Country
      • 14.2.7.2 North America On-premises Market by Country
    • 14.2.8 North America AI-powered Emotion Analytics Platform Market by Technology
      • 14.2.8.1 North America Facial Recognition Market by Country
      • 14.2.8.2 North America Multimodal Emotion Recognition Market by Country
      • 14.2.8.3 North America Speech & Voice Analysis Market by Country
      • 14.2.8.4 North America Text-based Emotion Detection (NLP) Market by Country
      • 14.2.8.5 North America Physiological Monitoring (wearables, biometrics) Market by Country
    • 14.2.9 North America AI-powered Emotion Analytics Platform Market by End-User
      • 14.2.9.1 North America Healthcare Market by Country
      • 14.2.9.2 North America Retail & E-commerce Market by Country
      • 14.2.9.3 North America Automotive & Transportation Market by Country
      • 14.2.9.4 North America Media & Entertainment Market by Country
      • 14.2.9.5 North America IT (tech firms, CX platforms, enterprise apps) Market by Country
      • 14.2.9.6 North America Education Market by Country
      • 14.2.9.7 North America Government & Public Safety Market by Country
      • 14.2.9.8 North America BFSI Market by Country
      • 14.2.9.9 North America Other End-Users Market by Country
    • 14.2.10 North America AI-powered Emotion Analytics Platform Market by Country
      • 14.2.10.1 US AI-powered Emotion Analytics Platform Market
        • 14.2.10.1.1 US AI-powered Emotion Analytics Platform Market by Deployment
        • 14.2.10.1.2 US AI-powered Emotion Analytics Platform Market by Technology
        • 14.2.10.1.3 US AI-powered Emotion Analytics Platform Market by End-User
      • 14.2.10.2 Canada AI-powered Emotion Analytics Platform Market
        • 14.2.10.2.1 Canada AI-powered Emotion Analytics Platform Market by Deployment
        • 14.2.10.2.2 Canada AI-powered Emotion Analytics Platform Market by Technology
        • 14.2.10.2.3 Canada AI-powered Emotion Analytics Platform Market by End-User
      • 14.2.10.3 Mexico AI-powered Emotion Analytics Platform Market
        • 14.2.10.3.1 Mexico AI-powered Emotion Analytics Platform Market by Deployment
        • 14.2.10.3.2 Mexico AI-powered Emotion Analytics Platform Market by Technology
        • 14.2.10.3.3 Mexico AI-powered Emotion Analytics Platform Market by End-User
      • 14.2.10.4 Rest of North America AI-powered Emotion Analytics Platform Market
        • 14.2.10.4.1 Rest of North America AI-powered Emotion Analytics Platform Market by Deployment
        • 14.2.10.4.2 Rest of North America AI-powered Emotion Analytics Platform Market by Technology
        • 14.2.10.4.3 Rest of North America AI-powered Emotion Analytics Platform Market by End-User
  • 14.3 Europe AI-powered Emotion Analytics Platform Market
  • 14.4 Key Factors Impacting the Market
    • 14.4.1 Market Drivers
    • 14.4.2 Market Restraints
    • 14.4.3 Market Opportunities
    • 14.4.4 Market Challenges
    • 14.4.5 Market Trends - Europe AI-powered Emotion Analytics Platform Market
    • 14.4.6 State of Competition - Europe AI-powered Emotion Analytics Platform Market
    • 14.4.7 Europe AI-powered Emotion Analytics Platform Market by Deployment
      • 14.4.7.1 Europe Cloud Market by Country
      • 14.4.7.2 Europe On-premises Market by Country
    • 14.4.8 Europe AI-powered Emotion Analytics Platform Market by Technology
      • 14.4.8.1 Europe Facial Recognition Market by Country
      • 14.4.8.2 Europe Multimodal Emotion Recognition Market by Country
      • 14.4.8.3 Europe Speech & Voice Analysis Market by Country
      • 14.4.8.4 Europe Text-based Emotion Detection (NLP) Market by Country
      • 14.4.8.5 Europe Physiological Monitoring (wearables, biometrics) Market by Country
    • 14.4.9 Europe AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.9.1 Europe Healthcare Market by Country
      • 14.4.9.2 Europe Retail & E-commerce Market by Country
      • 14.4.9.3 Europe Automotive & Transportation Market by Country
      • 14.4.9.4 Europe Media & Entertainment Market by Country
      • 14.4.9.5 Europe IT (tech firms, CX platforms, enterprise apps) Market by Country
      • 14.4.9.6 Europe Education Market by Country
      • 14.4.9.7 Europe Government & Public Safety Market by Country
      • 14.4.9.8 Europe BFSI Market by Country
      • 14.4.9.9 Europe Other End-Users Market by Country
    • 14.4.10 Europe AI-powered Emotion Analytics Platform Market by Country
      • 14.4.10.1 Germany AI-powered Emotion Analytics Platform Market
        • 14.4.10.1.1 Germany AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.1.2 Germany AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.1.3 Germany AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.10.2 UK AI-powered Emotion Analytics Platform Market
        • 14.4.10.2.1 UK AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.2.2 UK AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.2.3 UK AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.10.3 France AI-powered Emotion Analytics Platform Market
        • 14.4.10.3.1 France AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.3.2 France AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.3.3 France AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.10.4 Russia AI-powered Emotion Analytics Platform Market
        • 14.4.10.4.1 Russia AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.4.2 Russia AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.4.3 Russia AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.10.5 Spain AI-powered Emotion Analytics Platform Market
        • 14.4.10.5.1 Spain AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.5.2 Spain AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.5.3 Spain AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.10.6 Italy AI-powered Emotion Analytics Platform Market
        • 14.4.10.6.1 Italy AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.6.2 Italy AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.6.3 Italy AI-powered Emotion Analytics Platform Market by End-User
      • 14.4.10.7 Rest of Europe AI-powered Emotion Analytics Platform Market
        • 14.4.10.7.1 Rest of Europe AI-powered Emotion Analytics Platform Market by Deployment
        • 14.4.10.7.2 Rest of Europe AI-powered Emotion Analytics Platform Market by Technology
        • 14.4.10.7.3 Rest of Europe AI-powered Emotion Analytics Platform Market by End-User
  • 14.5 Asia Pacific AI-powered Emotion Analytics Platform Market
  • 14.6 Key Factors Impacting the Market
    • 14.6.1 Market Drivers
    • 14.6.2 Market Restraints
    • 14.6.3 Market Opportunities
    • 14.6.4 Market Challenges
    • 14.6.5 Market Trends - Asia Pacific AI-powered Emotion Analytics Platform Market
    • 14.6.6 State of Competition - Asia Pacific AI-powered Emotion Analytics Platform Market
    • 14.6.7 Asia Pacific AI-powered Emotion Analytics Platform Market by Deployment
      • 14.6.7.1 Asia Pacific Cloud Market by Country
      • 14.6.7.2 Asia Pacific On-premises Market by Country
    • 14.6.8 Asia Pacific AI-powered Emotion Analytics Platform Market by Technology
      • 14.6.8.1 Asia Pacific Facial Recognition Market by Country
      • 14.6.8.2 Asia Pacific Multimodal Emotion Recognition Market by Country
      • 14.6.8.3 Asia Pacific Speech & Voice Analysis Market by Country
      • 14.6.8.4 Asia Pacific Text-based Emotion Detection (NLP) Market by Country
      • 14.6.8.5 Asia Pacific Physiological Monitoring (wearables, biometrics) Market by Country
    • 14.6.9 Asia Pacific AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.9.1 Asia Pacific Healthcare Market by Country
      • 14.6.9.2 Asia Pacific Retail & E-commerce Market by Country
      • 14.6.9.3 Asia Pacific Automotive & Transportation Market by Country
      • 14.6.9.4 Asia Pacific Media & Entertainment Market by Country
      • 14.6.9.5 Asia Pacific IT (tech firms, CX platforms, enterprise apps) Market by Country
      • 14.6.9.6 Asia Pacific Education Market by Country
      • 14.6.9.7 Asia Pacific Government & Public Safety Market by Country
      • 14.6.9.8 Asia Pacific BFSI Market by Country
      • 14.6.9.9 Asia Pacific Other End-Users Market by Country
    • 14.6.10 Asia Pacific AI-powered Emotion Analytics Platform Market by Country
      • 14.6.10.1 China AI-powered Emotion Analytics Platform Market
        • 14.6.10.1.1 China AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.1.2 China AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.1.3 China AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.10.2 Japan AI-powered Emotion Analytics Platform Market
        • 14.6.10.2.1 Japan AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.2.2 Japan AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.2.3 Japan AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.10.3 India AI-powered Emotion Analytics Platform Market
        • 14.6.10.3.1 India AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.3.2 India AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.3.3 India AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.10.4 South Korea AI-powered Emotion Analytics Platform Market
        • 14.6.10.4.1 South Korea AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.4.2 South Korea AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.4.3 South Korea AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.10.5 Australia AI-powered Emotion Analytics Platform Market
        • 14.6.10.5.1 Australia AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.5.2 Australia AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.5.3 Australia AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.10.6 Malaysia AI-powered Emotion Analytics Platform Market
        • 14.6.10.6.1 Malaysia AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.6.2 Malaysia AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.6.3 Malaysia AI-powered Emotion Analytics Platform Market by End-User
      • 14.6.10.7 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market
        • 14.6.10.7.1 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market by Deployment
        • 14.6.10.7.2 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market by Technology
        • 14.6.10.7.3 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market by End-User
  • 14.7 LAMEA AI-powered Emotion Analytics Platform Market
  • 14.8 Key Factors Impacting the Market
    • 14.8.1 Market Drivers
    • 14.8.2 Market Restraints
    • 14.8.3 Market Opportunities
    • 14.8.4 Market Challenges
    • 14.8.5 Market Trends - LAMEA AI-powered Emotion Analytics Platform Market
    • 14.8.6 State of Competition - LAMEA AI-powered Emotion Analytics Platform Market
    • 14.8.7 LAMEA AI-powered Emotion Analytics Platform Market by Deployment
      • 14.8.7.1 LAMEA Cloud Market by Country
      • 14.8.7.2 LAMEA On-premises Market by Country
    • 14.8.8 LAMEA AI-powered Emotion Analytics Platform Market by Technology
      • 14.8.8.1 LAMEA Facial Recognition Market by Country
      • 14.8.8.2 LAMEA Multimodal Emotion Recognition Market by Country
      • 14.8.8.3 LAMEA Speech & Voice Analysis Market by Country
      • 14.8.8.4 LAMEA Text-based Emotion Detection (NLP) Market by Country
      • 14.8.8.5 LAMEA Physiological Monitoring (wearables, biometrics) Market by Country
    • 14.8.9 LAMEA AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.9.1 LAMEA Healthcare Market by Country
      • 14.8.9.2 LAMEA Retail & E-commerce Market by Country
      • 14.8.9.3 LAMEA Automotive & Transportation Market by Country
      • 14.8.9.4 LAMEA Media & Entertainment Market by Country
      • 14.8.9.5 LAMEA IT (tech firms, CX platforms, enterprise apps) Market by Country
      • 14.8.9.6 LAMEA Education Market by Country
      • 14.8.9.7 LAMEA Government & Public Safety Market by Country
      • 14.8.9.8 LAMEA BFSI Market by Country
      • 14.8.9.9 LAMEA Other End-Users Market by Country
    • 14.8.10 LAMEA AI-powered Emotion Analytics Platform Market by Country
      • 14.8.10.1 Brazil AI-powered Emotion Analytics Platform Market
        • 14.8.10.1.1 Brazil AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.1.2 Brazil AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.1.3 Brazil AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.10.2 Argentina AI-powered Emotion Analytics Platform Market
        • 14.8.10.2.1 Argentina AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.2.2 Argentina AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.2.3 Argentina AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.10.3 UAE AI-powered Emotion Analytics Platform Market
        • 14.8.10.3.1 UAE AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.3.2 UAE AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.3.3 UAE AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.10.4 Saudi Arabia AI-powered Emotion Analytics Platform Market
        • 14.8.10.4.1 Saudi Arabia AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.4.2 Saudi Arabia AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.4.3 Saudi Arabia AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.10.5 South Africa AI-powered Emotion Analytics Platform Market
        • 14.8.10.5.1 South Africa AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.5.2 South Africa AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.5.3 South Africa AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.10.6 Nigeria AI-powered Emotion Analytics Platform Market
        • 14.8.10.6.1 Nigeria AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.6.2 Nigeria AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.6.3 Nigeria AI-powered Emotion Analytics Platform Market by End-User
      • 14.8.10.7 Rest of LAMEA AI-powered Emotion Analytics Platform Market
        • 14.8.10.7.1 Rest of LAMEA AI-powered Emotion Analytics Platform Market by Deployment
        • 14.8.10.7.2 Rest of LAMEA AI-powered Emotion Analytics Platform Market by Technology
        • 14.8.10.7.3 Rest of LAMEA AI-powered Emotion Analytics Platform Market by End-User

Chapter 15. Company Profiles

  • 15.1 Runtime Collective Limited (Brandwatch)
    • 15.1.1 Company Overview
  • 15.2 Sprout Social, Inc.
    • 15.2.1 Company Overview
  • 15.3 IBM Corporation
    • 15.3.1 Company Overview
    • 15.3.2 Financial Analysis
    • 15.3.3 Regional & Segmental Analysis
    • 15.3.4 Research & Development Expenses
    • 15.3.5 SWOT Analysis
  • 15.4 Apple, Inc.
    • 15.4.1 Company Overview
    • 15.4.2 Financial Analysis
    • 15.4.3 Regional Analysis
    • 15.4.4 Research & Development Expense
    • 15.4.5 SWOT Analysis
  • 15.5 NEC Corporation
    • 15.5.1 Company Overview
    • 15.5.2 Financial Analysis
    • 15.5.3 Segmental and Regional Analysis
    • 15.5.4 Research & Development Expenses
    • 15.5.5 SWOT Analysis
  • 15.6 Open Text Corporation
    • 15.6.1 Company Overview
    • 15.6.2 Financial Analysis
    • 15.6.3 Segmental and Regional Analysis
    • 15.6.4 Research & Development Expenses
    • 15.6.5 SWOT Analysis
  • 15.7 iMotions A/S (Smart Eye A/S)
    • 15.7.1 Company Overview
    • 15.7.2 Financial Analysis
    • 15.7.3 Segmental and Regional Analysis
    • 15.7.4 Research & Development Expenses
  • 15.8 Lexalytics, Inc. (InMoment, Inc.)
    • 15.8.1 Company Overview
  • 15.9 NVISO SA
    • 15.9.1 Company Overview
    • 15.9.2 SWOT Analysis
  • 15.10. Emotibot Technologies Limited
    • 15.10.1 Company Overview
    • 15.10.2 SWOT Analysis
  • 15.11 Microsoft Corporation
    • 15.11.1 Company Overview
    • 15.11.2 Financial Analysis
    • 15.11.3 Segmental and Regional Analysis
    • 15.11.4 Research & Development Expenses
    • 15.11.5 SWOT Analysis

Chapter 16. Winning Imperatives of AI-powered Emotion Analytics Platform Market

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