查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1802986

全球情緒辨識人工智慧市場：未來預測（至 2032 年）—按組件、部署模式、技術、應用、最終用戶和地區進行分析

Emotional Recognition AI Market Forecasts to 2032 - Global Analysis By Component (Software, Hardware and Services), Deployment Mode, 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，全球情緒辨識 AI 市場預計在 2025 年達到 36 億美元，到 2032 年將達到 149 億美元，預測期內的複合年成長率為 22.7%。

情緒感知人工智慧是人工智慧的一個高級分支，旨在透過分析面部表情、語調、肢體語言和生理訊號來檢測、解讀和回應人類情緒。透過利用機器學習演算法和深度神經網路，可以即時評估快樂、憤怒、悲傷和壓力等情緒狀態。這項技術正擴大應用於醫療保健、教育、客戶服務和行銷等領域，以增強人機互動、提升用戶體驗並提供個人化解決方案。雖然它功能強大，但也引發了隱私、知情同意和資料安全方面的倫理問題，因此需要負責任地實施。

增強客戶參與

增強的客戶參與正推動情緒辨識人工智慧市場的成長，推動零售、醫療保健和娛樂整體超個人化體驗的需求。隨著品牌透過即時情緒分析和自適應介面深化其情緒智商，人工智慧解決方案也不斷發展，能夠更準確地解讀人類細微的表情。這種反饋循環加速了創新，增強了消費者信任，並擴大了各行業的應用範圍。最終，參與度將推動資料豐富化，從而打造更具同理心和情境感知能力的人工智慧系統，重新定義人機互動。

隱私和道德問題

隱私和倫理問題對情緒辨識人工智慧市場的成長構成了重大障礙。圍繞著資料收集、知情同意以及敏感情緒資訊濫用日益嚴格的審查，引發了監管機構和公眾的擔憂。企業在贏得使用者信任、遵守嚴格的隱私法規以及確保符合倫理道德的部署方面面臨挑戰。這些問題減緩了人工智慧的普及，增加了營運成本，並阻礙了全球市場的整體擴張。

技術進步

深度學習、邊緣運算和多模態感知技術的進步正在顯著加速市場發展。臉部微表情分析、語音語調檢測和情境情緒映射的準確性提升，正在推動醫療保健、汽車和消費技術領域的採用。即時情緒追蹤可實現個人化使用者體驗、心理健康診斷和自適應學習平台。隨著人工智慧越來越以人性化，這些創新正在再形成機器的情緒智商，釋放新的商業性和治療領域，並帶來顯著的影響。

實施成本高

高昂的實施成本是情感辨識人工智慧應用的一大障礙。尤其是中小企業，他們難以承受昂貴的硬體、軟體和整合成本，限制了其廣泛應用。這些經濟負擔減緩了市場滲透，減少了創新投資，並阻礙了潛在用戶採用先進的情感感知技術，最終抑制了整個情感識別人工智慧市場的成長和擴張。

COVID-19的影響

隨著遠距辦公、虛擬通訊和遠端醫療在全球的激增，新冠疫情顯著加速了情緒辨識人工智慧的應用。各組織機構紛紛尋求人工智慧主導的工具來衡量情緒、增強客戶參與，並在保持社交距離的環境中監測心理健康。然而，研究中斷、資金籌措延遲和供應鏈限制暫時減緩了硬體和軟體的開發，以各種方式影響了市場發展，但總體上推動了市場成長。

語音辨識部分預計將成為預測期內最大的部分

語音和語音辨識領域預計將在預測期內佔據最大的市場佔有率，因為它能夠基於聲調和語調進行即時情緒分析。這種協同效應將增強人機互動，並為醫療保健、客戶服務和行銷等領域的情緒識別系統提供支援。透過解讀語音中微妙的情緒狀態，這些人工智慧模型可以提供個人化的回應，從而提高用戶參與度和滿意度。該領域的發展將推動可擴展且適應不同文化的情緒檢測解決方案的發展，從而顯著提升其商業性潛力。

預計零售和電子商務領域在預測期內將以最高複合年成長率成長

在預測期內，零售和電子商務領域預計將實現最高成長率，因為該領域正在提升客戶參與和個人化體驗。透過分析臉部表情和情緒線索，品牌可以客製化產品推薦、最佳化使用者體驗設計，並即時最佳化廣告定位。這種情緒智商能夠加深消費者的信任和忠誠度，提高轉換率並減少客戶流失。隨著數位購物的發展，情感人工智慧將成為零售商在全球市場尋求競爭差異化和超個人化體驗的策略資產。

比最大的地區

在預測期內，亞太地區預計將佔據最大的市場佔有率，這得益於其在醫療保健和零售領域的轉型。解碼臉部和聲音線索可以增強心理健康診斷、駕駛安全性和個人化消費者參與。智慧型手機的高普及率正在推動情緒辨識應用的發展，而中國和新加坡的智慧城市計畫正在加速其應用。行銷公司正在利用即時情緒分析來最佳化宣傳活動，提高投資回報率和品牌共鳴。這種激增反映了亞太地區對以情感主導、人性化的人工智慧創新的積極接受。

複合年成長率最高的地區：

預計北美將在預測期內實現最高的複合年成長率，因為先進的情緒識別系統能夠增強心理健康診斷、實現遠端醫療個人化，並透過疲勞檢測提高駕駛員安全性。科技巨頭和新興企業都在利用人工智慧和物聯網的融合，提供自適應情緒感知解決方案。在矽谷創新生態系統和日益成長的同理心界面需求的推動下，該地區在符合道德且具影響力的部署方面處於世界領先地位。

免費客製化服務：

此報告的訂閱者可以從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 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
    • 次級研究資訊來源
    • 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

5. 全球情緒辨識人工智慧市場（按組件）

  • 軟體
  • 硬體
  • 服務

6. 全球情緒辨識AI市場（依部署模式）

  • 雲端基礎
  • 本地

7. 全球情緒辨識人工智慧市場（按技術）

  • 臉部表情辨識
  • 語音辨識
  • 生物感測（EEG、ECG、fNIRS、GSR 等）
  • 自然語言處理（NLP）

第8章 全球情緒辨識人工智慧市場（按應用）

  • 行銷和廣告
  • 安全與監控
  • 人機交互
  • 醫療保健和醫療診斷
  • 娛樂和遊戲
  • 客戶服務

第9章 全球情緒辨識人工智慧市場（按最終用戶）

  • 銀行、金融服務和保險（BFSI）
  • 零售與電子商務
  • 資訊科技/通訊
  • 車
  • 政府和國防
  • 教學
  • 其他最終用戶

第 10 章全球情緒辨識人工智慧市場（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
    • 其他南美
  • 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11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12章 公司概況

  • Affectiva
  • Realeyes
  • Beyond Verbal
  • nViso
  • Kairos
  • Tobii AB
  • NEC Corporation
  • Microsoft Corporation
  • Apple Inc.
  • Amazon Web Services（AWS）
  • IBM Corporation
  • Google LLC
  • Cognitec Systems GmbH
  • Sentiance
  • Emotibot Technologies
  • Eyeris Technologies Inc.
  • Noldus Information Technology
  • Sightcorp
  • Elliptic Labs
  • Aural Analytics
Product Code: SMRC30512

According to Stratistics MRC, the Global Emotional Recognition AI Market is accounted for $3.6 billion in 2025 and is expected to reach $14.9 billion by 2032 growing at a CAGR of 22.7% during the forecast period. Emotional Recognition AI is an advanced branch of artificial intelligence designed to detect, interpret, and respond to human emotions through analysis of facial expressions, vocal tones, body language, and physiological signals. By leveraging machine learning algorithms and deep neural networks, it can assess emotional states such as happiness, anger, sadness, or stress in real time. This technology is increasingly applied in sectors like healthcare, education, customer service, and marketing to enhance human-computer interaction, improve user experience, and provide personalized solutions. While powerful, it raises ethical considerations around privacy, consent, and data security, requiring responsible implementation.

Market Dynamics:

Driver:

Enhanced Customer Engagement

Enhanced customer engagement is catalyzing growth in the Emotional Recognition AI market by driving demand for hyper-personalized experiences across retail, healthcare, and entertainment. As brands deepen emotional intelligence through real-time sentiment analysis and adaptive interfaces, AI solutions are evolving to decode nuanced human expressions with greater accuracy. This feedback loop accelerates innovation, boosts consumer trust, and expands adoption across sectors. Ultimately, engagement fuels data richness, enabling more empathetic, context-aware AI systems that redefine human-machine interaction.

Restraint:

Privacy and Ethical Concerns

Privacy and ethical concerns pose a significant barrier to the growth of the Emotional Recognition AI market. Increasing scrutiny over data collection, consent, and misuse of sensitive emotional information raises regulatory and public apprehension. Companies face challenges in gaining user trust, complying with strict privacy laws, and ensuring ethical deployment. These issues slow adoption, increase operational costs, and hinder overall market expansion globally.

Opportunity:

Advancements in Technology

Advancements in deep learning, edge computing, and multimodal sensing have significantly accelerated the market. Enhanced accuracy in facial micro-expression analysis, voice tonality detection, and contextual sentiment mapping is driving adoption across healthcare, automotive, and consumer tech. Real-time emotion tracking is enabling personalized user experiences, mental health diagnostics, and adaptive learning platforms. As AI becomes more human-centric, these innovations are reshaping emotional intelligence in machines, unlocking new commercial and therapeutic frontiers with measurable impact.

Threat:

High Implementation Costs

High implementation costs pose a significant barrier to the adoption of Emotional Recognition AI. Small and medium enterprises, in particular, struggle with the expensive hardware, software, and integration requirements, limiting widespread deployment. These financial burdens slow market penetration, reduce investment in innovation, and deter potential users from adopting advanced emotion-sensing technologies, ultimately restraining growth and hindering the overall expansion of the Emotional Recognition AI market.

Covid-19 Impact

The Covid-19 pandemic significantly accelerated the adoption of Emotional Recognition AI, as remote work, virtual communication, and telehealth surged globally. Organizations sought AI-driven tools to gauge emotions, enhance customer engagement, and monitor mental health in socially distanced environments. However, disruptions in research, funding delays, and supply chain constraints temporarily slowed hardware and software development, creating a mixed but overall driving impact on market growth.

The speech & voice recognition segment is expected to be the largest during the forecast period

The speech & voice recognition segment is expected to account for the largest market share during the forecast period as it enables real-time sentiment analysis through vocal cues like tone and cadence. This synergy enhances human-computer interaction, empowering emotionally aware systems across healthcare, customer service, and marketing. By decoding nuanced emotional states from speech, these AI models deliver personalized responses, boosting user engagement and satisfaction. The segment's evolution is driving scalable, culturally adaptive emotion detection solutions with transformative commercial potential.

The retail & e-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & e-commerce segment is predicted to witness the highest growth rate as it enhances customer engagement and personalization. By analyzing facial expressions and sentiment cues, brands can tailor product recommendations, optimize UX design, and refine ad targeting in real time. This emotional intelligence fosters deeper consumer trust and loyalty, driving conversion rates and reducing churn. As digital shopping evolves, emotional AI becomes a strategic asset for retailers seeking competitive differentiation and hyper-personalized experiences across global markets.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to transformative change across healthcare and retail sectors. By decoding facial expressions and vocal cues, it enhances mental health diagnostics, driver safety, and personalized consumer engagement. High smartphone penetration fuels emotion-aware apps, while smart city initiatives in China and Singapore accelerate adoption. Marketing firms leverage real-time emotional analytics to optimize campaigns, boosting ROI and brand resonance. This surge reflects Asia Pacific's dynamic embrace of emotion-driven, human-centric AI innovation.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to advanced emotion-aware systems enhance mental health diagnostics, personalize telemedicine, and improve driver safety through fatigue detection. Tech giants and startups alike leverage AI and IoT integration to deliver adaptive, emotion-sensitive solutions. With Silicon Valley's innovation ecosystem and rising demand for empathetic interfaces, the region leads globally in ethical, impactful deployment-reshaping human-machine interaction with precision and emotional intelligence.

Key players in the market

Some of the key players profiled in the Emotional Recognition AI Market include Affectiva, Realeyes, Beyond Verbal, nViso, Kairos, Tobii AB, NEC Corporation, Microsoft Corporation, Apple Inc., Amazon Web Services (AWS), IBM Corporation, Google LLC, Cognitec Systems GmbH, Sentiance, Emotibot Technologies, Eyeris Technologies Inc., Noldus Information Technology, Sightcorp, Elliptic Labs and Aural Analytics.

Key Developments:

In August 2025, Coherent and Apple have deepened their alliance through a new multiyear agreement to manufacture vertical-cavity surface-emitting lasers (VCSELs) at Coherent's Sherman, Texas facility. The partnership not only strengthens Apple's domestic supply chain but also positions both companies at the forefront of cutting-edge semiconductor innovation.

In January 2025, Telefonica Tech and IBM have entered a strategic partnership to develop quantum-safe cybersecurity solutions, anticipating the risks posed by future quantum computers. The collaboration aims to safeguard critical data against potential decryption by quantum computers, aligning with NIST's post-quantum cryptography standards.

In January 2025, Microsoft and OpenAI announced an evolved partnership to advance AI innovation. Microsoft will support OpenAI's expansion with additional capacity for research and model training. The agreement grants Microsoft rights to OpenAI's intellectual property, including models and infrastructure, for integration into Microsoft's products like Copilot.

Components Covered:

  • Software
  • Hardware
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises

Technologies Covered:

  • Facial Expression Recognition
  • Speech & Voice Recognition
  • Bio-Sensing (EEG, ECG, fNIRS, GSR, etc.)
  • Natural Language Processing (NLP)

Applications Covered:

  • Marketing & Advertising
  • Security & Surveillance
  • Human-Computer Interaction
  • Healthcare & Medical Diagnosis
  • Entertainment & Gaming
  • Customer Service

End Users Covered:

  • Banking, Financial Services, and Insurance (BFSI)
  • Retail & E-commerce
  • IT & Telecommunication
  • Automotive
  • Government & Defense
  • Education & Learning
  • 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 Emotional Recognition AI Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Hardware
  • 5.4 Services

6 Global Emotional Recognition AI Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premises

7 Global Emotional Recognition AI Market, By Technology

  • 7.1 Introduction
  • 7.2 Facial Expression Recognition
  • 7.3 Speech & Voice Recognition
  • 7.4 Bio-Sensing (EEG, ECG, fNIRS, GSR, etc.)
  • 7.5 Natural Language Processing (NLP)

8 Global Emotional Recognition AI Market, By Application

  • 8.1 Introduction
  • 8.2 Marketing & Advertising
  • 8.3 Security & Surveillance
  • 8.4 Human-Computer Interaction
  • 8.5 Healthcare & Medical Diagnosis
  • 8.6 Entertainment & Gaming
  • 8.7 Customer Service

9 Global Emotional Recognition AI Market, By End User

  • 9.1 Introduction
  • 9.2 Banking, Financial Services, and Insurance (BFSI)
  • 9.3 Retail & E-commerce
  • 9.4 IT & Telecommunication
  • 9.5 Automotive
  • 9.6 Government & Defense
  • 9.7 Education & Learning
  • 9.8 Other End Users

10 Global Emotional Recognition AI Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Affectiva
  • 12.2 Realeyes
  • 12.3 Beyond Verbal
  • 12.4 nViso
  • 12.5 Kairos
  • 12.6 Tobii AB
  • 12.7 NEC Corporation
  • 12.8 Microsoft Corporation
  • 12.9 Apple Inc.
  • 12.10 Amazon Web Services (AWS)
  • 12.11 IBM Corporation
  • 12.12 Google LLC
  • 12.13 Cognitec Systems GmbH
  • 12.14 Sentiance
  • 12.15 Emotibot Technologies
  • 12.16 Eyeris Technologies Inc.
  • 12.17 Noldus Information Technology
  • 12.18 Sightcorp
  • 12.19 Elliptic Labs
  • 12.20 Aural Analytics

List of Tables

  • Table 1 Global Emotional Recognition AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Emotional Recognition AI Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Emotional Recognition AI Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Emotional Recognition AI Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 5 Global Emotional Recognition AI Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Emotional Recognition AI Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 7 Global Emotional Recognition AI Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 8 Global Emotional Recognition AI Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 9 Global Emotional Recognition AI Market Outlook, By Technology (2024-2032) ($MN)
  • Table 10 Global Emotional Recognition AI Market Outlook, By Facial Expression Recognition (2024-2032) ($MN)
  • Table 11 Global Emotional Recognition AI Market Outlook, By Speech & Voice Recognition (2024-2032) ($MN)
  • Table 12 Global Emotional Recognition AI Market Outlook, By Bio-Sensing (EEG, ECG, fNIRS, GSR, etc.) (2024-2032) ($MN)
  • Table 13 Global Emotional Recognition AI Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 14 Global Emotional Recognition AI Market Outlook, By Application (2024-2032) ($MN)
  • Table 15 Global Emotional Recognition AI Market Outlook, By Marketing & Advertising (2024-2032) ($MN)
  • Table 16 Global Emotional Recognition AI Market Outlook, By Security & Surveillance (2024-2032) ($MN)
  • Table 17 Global Emotional Recognition AI Market Outlook, By Human-Computer Interaction (2024-2032) ($MN)
  • Table 18 Global Emotional Recognition AI Market Outlook, By Healthcare & Medical Diagnosis (2024-2032) ($MN)
  • Table 19 Global Emotional Recognition AI Market Outlook, By Entertainment & Gaming (2024-2032) ($MN)
  • Table 20 Global Emotional Recognition AI Market Outlook, By Customer Service (2024-2032) ($MN)
  • Table 21 Global Emotional Recognition AI Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Emotional Recognition AI Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 23 Global Emotional Recognition AI Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 24 Global Emotional Recognition AI Market Outlook, By IT & Telecommunication (2024-2032) ($MN)
  • Table 25 Global Emotional Recognition AI Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 26 Global Emotional Recognition AI Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 27 Global Emotional Recognition AI Market Outlook, By Education & Learning (2024-2032) ($MN)
  • Table 28 Global Emotional Recognition AI Market Outlook, By Other End Users (2024-2032) ($MN)

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