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1797979

2032 年情感 AI 市場預測：按產品、檢測方式、部署模式、公司規模、技術、應用、最終用戶和地區進行的全球分析

Emotion AI Market Forecasts to 2032 - Global Analysis By Offering, Detection Modality, Deployment Mode, Enterprise Size, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球情緒 AI 市場預計在 2025 年達到 33.1 億美元，到 2032 年將達到 137 億美元，預測期內的複合年成長率為 22.6%。

情感人工智慧（Emotion AI），又稱情感運算，是人工智慧的一個專業領域，旨在使機器能夠偵測、解讀和回應人類的情感。它利用臉部辨識、語音分析和自然語言處理等技術，分析來自文字、語音和視覺數據的情緒線索。透過模擬情緒智商，情緒人工智慧可以增強人機交互，支援心理健康監測，並提升醫療保健、教育、行銷和客戶服務等領域的使用者體驗。

根據《發現應用科學》（2025 年）發表的科學計量分析，2004 年至 2023 年間，有關情緒辨識的學術論文超過 39,686 篇，反映出學術興趣的顯著增加。

企業對加強客戶互動的需求不斷增加

情緒人工智慧 (Emotion AI) 能夠分析各種情感線索，從客服中心的語氣、零售環境中的面部表情，到基於文字的交流中的情緒，使企業能夠超越傳統分析。這項技術能夠以前所未有的規模實現客戶旅程的個人化，從而帶來更有意義的互動、更高的滿意度並顯著提升品牌忠誠度。這在電子商務和零售等行業尤其如此，因為正面的情感連結會直接影響購買決策和回頭客。

隱私和道德問題

高度敏感的生物特徵數據（例如即時面部表情和語音調製）的收集和分析引發了人們對監控和潛在數據濫用的擔憂。消費者和倡導團體越來越擔心他們的情緒數據可能在未經明確同意的情況下被儲存、使用和出售，從而導致不信任的氛圍。這也促使政府和監管機構考慮並實施更嚴格的資料保護法，這可能會使情緒人工智慧解決方案的部署和應用變得更加複雜。

與物聯網、AR/VR 和人工智慧主導的心理健康護理相結合

在智慧家庭和聯網汽車，情感人工智慧可以根據使用者的情緒調整環境，提升舒適度和安全性。在擴增實境/虛擬實境 (AR/VR) 應用中，情緒回饋可個人化虛擬體驗，使遊戲、訓練和治療更具回應性和沈浸感。此外，情緒人工智慧在心理健康診斷領域也日益受到關注，有助於識別情緒困擾和行為異常。透過支援早期療育和個人化護理，這些整合正在為建立即時回應人類需求的情感智慧生態系統鋪平道路。

標準化程度有限、存在偏見和誤解

文化表達、個人行為和情境線索的差異可能導致對情緒的解讀不一致或不準確。偏見，尤其是在缺乏多樣性的訓練資料集中，會進一步扭曲結果，並削弱人們對情緒人工智慧系統的信任。對情緒狀態的誤解可能導致判斷錯誤，尤其是在招募、執法和心理健康等敏感領域。這些風險凸顯了透明檢驗通訊協定、全面資料實踐和跨產業協作的迫切需求，以確保部署符合倫理道德且準確無誤。

COVID-19的影響：

新冠疫情加速了各行各業的數位轉型，並為情感人工智慧的應用開闢了新的途徑。隨著遠距辦公、虛擬學習和遠端醫療成為主流，企業紛紛尋求在虛擬環境中衡量同理心和幸福感的工具。情感人工智慧透過在視訊通話、線上治療和遠端客戶互動中實現即時情緒分析，幫助彌合了數位溝通中的同理心缺口。同時，人們日益成長的心理健康意識也激發了人們對用於壓力檢測和情緒追蹤的情緒感知應用的興趣。

預計軟體部門將成為預測期內最大的部門

由於軟體的多功能性和跨平台擴充性，預計在預測期內將佔據最大的市場佔有率。情緒辨識軟體嵌入行動應用程式、企業系統和雲端基礎分析工具中，可與現有工作流程無縫整合。它能夠處理語音、面部表情和文字等多模態數據，這對於即時情緒追蹤至關重要。人工智慧模型的持續更新和改進進一步提升了效能，使軟體解決方案成為情緒人工智慧應用的支柱。

預計自然語言處理 (NLP) 在預測期內將以最高複合年成長率成長

自然語言處理 (NLP) 領域預計將在預測期內實現最高成長率，這得益於其在解讀文字和語音中的情緒線索方面發揮的關鍵作用。隨著對話式人工智慧日益複雜，NLP 使系統能夠更準確地偵測情緒、語氣和意圖。這種能力對於客戶服務、心理健康聊天機器人和虛擬助理等應用至關重要，因為理解情緒情境可以提升使用者體驗。轉換模型和語境嵌入的進步正在突破情緒感知語言處理的界限。

佔比最大的地區：

由於強大的數位基礎設施和日益成長的技術應用，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、日本和韓國等國正大力投資人工智慧研究，情感人工智慧正被納入教育、零售和公共領域。該地區龐大的人口和以行動為先的消費者群體，使其成為電子商務和娛樂領域情感識別應用的沃土。政府支持的人工智慧專案和良好的法規環境正在進一步加速其部署。

複合年成長率最高的地區：

由於強大的創新生態系統和各行業的早期應用，北美預計將在預測期內實現最高的複合年成長率。美國和加拿大在醫療保健、汽車和企業溝通領域擴大採用情感人工智慧，這些領域的情感洞察可以增強決策能力和使用者參與度。領先的人工智慧公司、學術機構和創業投資的支援正在推動技術的快速進步。此外，日益成長的心理健康意識和對情緒響應型數位工具的需求也在推動該技術的成長。

免費客製化服務：

此報告的訂閱者可以使用以下免費自訂選項之一：

  • 公司簡介
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  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 二手研究資料
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章：情感人工智慧市場（按產品）

  • 軟體
    • 情緒辨識軟體
    • 情緒分析工具
    • 臉部、語音和 NLP 工具
  • 服務
    • 專業服務
    • 託管服務
    • 諮詢/整合/培訓
  • 其他服務

6. 全球情感人工智慧市場（按檢測方式）

  • 臉部表情辨識
  • 語音辨識
  • 基於文本/NLP的檢測
  • 手勢和姿勢
  • 生理訊號
  • 其他檢測方法

第7章 全球情感人工智慧市場（按部署模式）

  • 雲端基礎
  • 本地
  • 混合

第 8 章：全球情感 AI 市場（依公司規模）

  • 主要企業
  • 小型企業

9. 全球情感人工智慧市場（按技術）

  • 深度學習
  • 神經網路
  • 肢體語言與手勢姿態分析
  • 情緒分析
  • 以文字為主的情緒檢測
  • 生物識別感測器
  • 聲帶生物標記分析
  • 其他技術

第 10 章全球情感人工智慧市場（按應用）

  • 客服中心分析
  • 客戶回饋和調查
  • 零售與電子商務個人化
  • 心理健康與幸福
  • 患者照護和遠端醫療
  • 駕駛員安全和疲勞檢測
  • 個性化的車內體驗
  • 廣告宣傳效果分析
  • 情感驅動的內容創作
  • 虛擬助理和聊天機器人
  • 其他用途

第 11 章 全球情感人工智慧市場（按最終用戶）

  • 車
  • 醫療保健和生命科學
  • 銀行、金融服務和保險（BFSI）
  • 資訊科技/通訊
  • 媒體與娛樂
  • 政府和國防
  • 教育
  • 其他最終用戶

第12章 全球情感人工智慧市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第13章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第14章 公司概況

  • Visage Technologies AB
  • Tobii AB
  • Sighthound, Inc.
  • Realeyes OU
  • nViso SA
  • Neurodata Lab LLC
  • Microsoft Corporation
  • Kairos AR, Inc
  • iMotions A/S
  • IBM Corporation
  • Google LLC
  • Eyeris Technologies, Inc.
  • Emotient, Inc.
  • Cognitec Systems GmbH
  • Beyond Verbal Communication Ltd.
  • Amazon Web Services, Inc.
  • Affectiva, Inc.
  • Affect Lab
Product Code: SMRC30349

According to Stratistics MRC, the Global Emotion AI Market is accounted for $3.31 billion in 2025 and is expected to reach $13.7 billion by 2032 growing at a CAGR of 22.6% during the forecast period. Emotion AI, also known as affective computing, is a specialized branch of artificial intelligence that enables machines to detect, interpret, and respond to human emotions. It utilizes technologies such as facial recognition, voice analysis, and natural language processing to analyze emotional cues from text, speech, and visual data. By simulating emotional intelligence, Emotion AI enhances human-computer interaction, supports mental health monitoring, and improves user experience across sectors like healthcare, education, marketing, and customer service.

According to a scientometric analysis published in Discover Applied Sciences (2025), over 39,686 scholarly articles on emotion recognition were indexed between 2004 and 2023, reflecting a substantial growth in academic interest.

Market Dynamics:

Driver:

Increasing demand from businesses to enhance customer interactions

Companies are leveraging Emotion AI to move beyond traditional analytics by analyzing a wide range of emotional cues from tone of voice in call centers to facial expressions in retail environments and sentiment in text-based communications. This technology enables the personalization of customer journeys on an unprecedented scale, leading to more meaningful engagements, improved satisfaction scores, and a significant boost in brand loyalty. This is especially true for industries like e-commerce and retail, where a positive emotional connection can directly influence purchasing decisions and repeat business.

Restraint:

Privacy and ethical concerns

The collection and analysis of highly sensitive biometric data, such as real-time facial expressions and voice modulations, raises substantial concerns about surveillance and the potential for data misuse. Consumers and advocacy groups are increasingly wary of how their emotional data might be stored, used, or sold without explicit consent, leading to a climate of distrust. This has also prompted governments and regulatory bodies to consider and implement stricter data protection laws, which could complicate the deployment and adoption of Emotion AI solutions.

Opportunity:

Integration with IoT and AR/VR & AI-driven mental healthcare

In smart homes and connected vehicles, Emotion AI can adapt environments based on user mood, enhancing comfort and safety. In AR/VR applications, emotional feedback can personalize virtual experiences, making gaming, training, and therapy more responsive and immersive. Moreover, Emotion AI is gaining traction in mental health diagnostics, where it helps identify emotional distress and behavioral anomalies. By supporting early intervention and personalized care, these integrations are paving the way for emotionally intelligent ecosystems that respond to human needs in real time.

Threat:

Limited standardization & bias & misinterpretation

Variations in cultural expression, individual behavior, and contextual cues can lead to inconsistent or inaccurate emotional interpretations. Bias in training datasets especially those lacking diversities can further skew results, undermining trust in Emotion AI systems. Misinterpretation of emotional states may result in flawed decisions, particularly in sensitive domains like recruitment, law enforcement, or mental health. These risks highlight the urgent need for transparent validation protocols, inclusive data practices, and cross-industry collaboration to ensure ethical and accurate deployment.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation across industries, creating new avenues for Emotion AI adoption. With remote work, virtual learning, and telehealth becoming mainstream, organizations sought tools to gauge emotional engagement and well-being in virtual settings. Emotion AI helped bridge the empathy gap in digital communication by enabling real-time sentiment analysis during video calls, online therapy sessions, and remote customer interactions. At the same time, heightened awareness around mental health drove interest in emotion-sensing applications for stress detection and mood tracking.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period driven by its versatility and scalability across platforms. Emotion recognition software is being embedded into mobile apps, enterprise systems, and cloud-based analytics tools, enabling seamless integration with existing workflows. Its ability to process multimodal data such as voice, facial expressions, and text makes it indispensable for real-time emotion tracking. Continuous updates and AI model improvements further enhance performance, making software solutions the backbone of Emotion AI deployments.

The natural language processing (NLP) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the natural language processing (NLP) segment is predicted to witness the highest growth rate fuelled by its critical role in interpreting emotional cues from text and speech. As conversational AI becomes more sophisticated, NLP enables systems to detect sentiment, tone, and intent with increasing accuracy. This capability is vital for applications in customer service, mental health chatbots, and virtual assistants, where understanding emotional context enhances user experience. Advances in transformer models and contextual embeddings are pushing the boundaries of emotion-aware language processing.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share supported by robust digital infrastructure and growing tech adoption. Countries like China, Japan, and South Korea are investing heavily in AI research, with Emotion AI being integrated into education, retail, and public safety initiatives. The region's large population and mobile-first consumer base offer fertile ground for emotion-aware applications in e-commerce and entertainment. Government-backed AI programs and favorable regulatory environments are further accelerating deployment.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR attributed to strong innovation ecosystems and early adoption across sectors. The U.S. and Canada are witnessing increased use of Emotion AI in healthcare, automotive, and enterprise communication, where emotional insights enhance decision-making and user engagement. The presence of leading AI firms, academic institutions, and venture capital support is fostering rapid technological advancement. Additionally, rising mental health awareness and demand for emotionally responsive digital tools are propelling growth.

Key players in the market

Some of the key players in Emotion AI Market include Visage Technologies AB, Tobii AB, Sighthound, Inc., Realeyes OU, nViso SA, Neurodata Lab LLC, Microsoft Corporation, Kairos AR, Inc, iMotions A/S, IBM Corporation, Google LLC, Eyeris Technologies, Inc., Emotient, Inc., Cognitec Systems GmbH, Beyond Verbal Communication Ltd., Amazon Web Services, Inc., Affectiva, Inc., and Affect Lab

Key Developments:

In June 2025, Tobii renewed and strengthened its existing agreement to supply Dynavox Group with eye-tracking components, involving a volume deal worth approximately SEK 100 million. This multi-year partnership ensures long-term collaboration in assistive communication technology.

In June 2025, Visage Imaging Visage showcased its top offerings such as Visage 7 | CloudPACS, GenAI, Visage Chat, and efficiency-driven imaging workflows reinforcing its leadership in cloud-based medical imaging.

In January 2025, iMotions will incorporate Affectiva's Media Analytics into its platform, forming a unified global behavioral research unit under the Smart Eye Group. The integration enhances multimodal research capabilities for academia, brands, and agencies.

Offerings Covered:

  • Software
  • Services
  • Other Offerings

Detection Modalities Covered:

  • Facial Expression Recognition
  • Speech & Voice Recognition
  • Text / NLP-based Detection
  • Gesture & Body Posture
  • Physiological Signals
  • Other Detection Modalities

Deployment Modes Covered:

  • Cloud-based
  • On-premise
  • Hybrid

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium-sized Enterprises

Technologies Covered:

  • Deep Learning
  • Neural Networks
  • Body Language and Gesture Analysis
  • Sentiment Analysis
  • Text-based Emotion Detection
  • Biometric Sensors
  • Vocal Biomarker Analysis
  • Other Technologies

Applications Covered:

  • Call Center Analytics
  • Customer Feedback and Surveys
  • Retail & E-commerce Personalization
  • Mental Health & Well-being
  • Patient Care & Telemedicine
  • Driver Safety & Fatigue Detection
  • In-cabin Experience Personalization
  • Ad Campaign Performance Analysis
  • Emotion-based Content Creation
  • Virtual Assistants and Chatbots
  • Other Applications

End Users Covered:

  • Automotive
  • Healthcare & Life Sciences
  • Banking, Financial Services, and Insurance (BFSI)
  • IT & Telecom
  • Media & Entertainment
  • Government & Defense
  • Education
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Emotion AI Market, By Offering

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Emotion Recognition Software
    • 5.2.2 Sentiment Analysis Tools
    • 5.2.3 Facial, Speech, and NLP Tools
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services
    • 5.3.3 Consulting / Integration / Training
  • 5.4 Other Offerings

6 Global Emotion AI Market, By Detection Modality

  • 6.1 Introduction
  • 6.2 Facial Expression Recognition
  • 6.3 Speech & Voice Recognition
  • 6.4 Text / NLP-based Detection
  • 6.5 Gesture & Body Posture
  • 6.6 Physiological Signals
  • 6.7 Other Detection Modalities

7 Global Emotion AI Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-based
  • 7.3 On-premise
  • 7.4 Hybrid

8 Global Emotion AI Market, By Enterprise Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 Small & Medium-sized Enterprises

9 Global Emotion AI Market, By Technology

  • 9.1 Introduction
  • 9.2 Deep Learning
  • 9.3 Neural Networks
  • 9.4 Body Language and Gesture Analysis
  • 9.5 Sentiment Analysis
  • 9.6 Text-based Emotion Detection
  • 9.7 Biometric Sensors
  • 9.8 Vocal Biomarker Analysis
  • 9.9 Other Technologies

10 Global Emotion AI Market, By Application

  • 10.1 Introduction
  • 10.2 Call Center Analytics
  • 10.3 Customer Feedback and Surveys
  • 10.4 Retail & E-commerce Personalization
  • 10.5 Mental Health & Well-being
  • 10.6 Patient Care & Telemedicine
  • 10.7 Driver Safety & Fatigue Detection
  • 10.8 In-cabin Experience Personalization
  • 10.9 Ad Campaign Performance Analysis
  • 10.10 Emotion-based Content Creation
  • 10.11 Virtual Assistants and Chatbots
  • 10.12 Other Applications

11 Global Emotion AI Market, By End User

  • 11.1 Introduction
  • 11.2 Automotive
  • 11.3 Healthcare & Life Sciences
  • 11.4 Banking, Financial Services, and Insurance (BFSI)
  • 11.5 IT & Telecom
  • 11.6 Media & Entertainment
  • 11.7 Government & Defense
  • 11.8 Education
  • 11.9 Other End Users

12 Global Emotion AI Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Visage Technologies AB
  • 14.2 Tobii AB
  • 14.3 Sighthound, Inc.
  • 14.4 Realeyes OU
  • 14.5 nViso SA
  • 14.6 Neurodata Lab LLC
  • 14.7 Microsoft Corporation
  • 14.8 Kairos AR, Inc
  • 14.9 iMotions A/S
  • 14.10 IBM Corporation
  • 14.11 Google LLC
  • 14.12 Eyeris Technologies, Inc.
  • 14.13 Emotient, Inc.
  • 14.14 Cognitec Systems GmbH
  • 14.15 Beyond Verbal Communication Ltd.
  • 14.16 Amazon Web Services, Inc.
  • 14.17 Affectiva, Inc.
  • 14.18 Affect Lab

List of Tables

  • Table 1 Global Emotion AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Emotion AI Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global Emotion AI Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Emotion AI Market Outlook, By Emotion Recognition Software (2024-2032) ($MN)
  • Table 5 Global Emotion AI Market Outlook, By Sentiment Analysis Tools (2024-2032) ($MN)
  • Table 6 Global Emotion AI Market Outlook, By Facial, Speech, and NLP Tools (2024-2032) ($MN)
  • Table 7 Global Emotion AI Market Outlook, By Services (2024-2032) ($MN)
  • Table 8 Global Emotion AI Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 9 Global Emotion AI Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 10 Global Emotion AI Market Outlook, By Consulting / Integration / Training (2024-2032) ($MN)
  • Table 11 Global Emotion AI Market Outlook, By Other Offerings (2024-2032) ($MN)
  • Table 12 Global Emotion AI Market Outlook, By Detection Modality (2024-2032) ($MN)
  • Table 13 Global Emotion AI Market Outlook, By Facial Expression Recognition (2024-2032) ($MN)
  • Table 14 Global Emotion AI Market Outlook, By Speech & Voice Recognition (2024-2032) ($MN)
  • Table 15 Global Emotion AI Market Outlook, By Text / NLP-based Detection (2024-2032) ($MN)
  • Table 16 Global Emotion AI Market Outlook, By Gesture & Body Posture (2024-2032) ($MN)
  • Table 17 Global Emotion AI Market Outlook, By Physiological Signals (2024-2032) ($MN)
  • Table 18 Global Emotion AI Market Outlook, By Other Detection Modalities (2024-2032) ($MN)
  • Table 19 Global Emotion AI Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 20 Global Emotion AI Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 21 Global Emotion AI Market Outlook, By On-premise (2024-2032) ($MN)
  • Table 22 Global Emotion AI Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 23 Global Emotion AI Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 24 Global Emotion AI Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 25 Global Emotion AI Market Outlook, By Small & Medium-sized Enterprises (2024-2032) ($MN)
  • Table 26 Global Emotion AI Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global Emotion AI Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 28 Global Emotion AI Market Outlook, By Neural Networks (2024-2032) ($MN)
  • Table 29 Global Emotion AI Market Outlook, By Body Language and Gesture Analysis (2024-2032) ($MN)
  • Table 30 Global Emotion AI Market Outlook, By Sentiment Analysis (2024-2032) ($MN)
  • Table 31 Global Emotion AI Market Outlook, By Text-based Emotion Detection (2024-2032) ($MN)
  • Table 32 Global Emotion AI Market Outlook, By Biometric Sensors (2024-2032) ($MN)
  • Table 33 Global Emotion AI Market Outlook, By Vocal Biomarker Analysis (2024-2032) ($MN)
  • Table 34 Global Emotion AI Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 35 Global Emotion AI Market Outlook, By Application (2024-2032) ($MN)
  • Table 36 Global Emotion AI Market Outlook, By Call Center Analytics (2024-2032) ($MN)
  • Table 37 Global Emotion AI Market Outlook, By Customer Feedback and Surveys (2024-2032) ($MN)
  • Table 38 Global Emotion AI Market Outlook, By Retail & E-commerce Personalization (2024-2032) ($MN)
  • Table 39 Global Emotion AI Market Outlook, By Mental Health & Well-being (2024-2032) ($MN)
  • Table 40 Global Emotion AI Market Outlook, By Patient Care & Telemedicine (2024-2032) ($MN)
  • Table 41 Global Emotion AI Market Outlook, By Driver Safety & Fatigue Detection (2024-2032) ($MN)
  • Table 42 Global Emotion AI Market Outlook, By In-cabin Experience Personalization (2024-2032) ($MN)
  • Table 43 Global Emotion AI Market Outlook, By Ad Campaign Performance Analysis (2024-2032) ($MN)
  • Table 44 Global Emotion AI Market Outlook, By Emotion-based Content Creation (2024-2032) ($MN)
  • Table 45 Global Emotion AI Market Outlook, By Virtual Assistants and Chatbots (2024-2032) ($MN)
  • Table 46 Global Emotion AI Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 47 Global Emotion AI Market Outlook, By End User (2024-2032) ($MN)
  • Table 48 Global Emotion AI Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 49 Global Emotion AI Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 50 Global Emotion AI Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 51 Global Emotion AI Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 52 Global Emotion AI Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 53 Global Emotion AI Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 54 Global Emotion AI Market Outlook, By Education (2024-2032) ($MN)
  • Table 55 Global Emotion AI Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.