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人工智慧情感分析平台市场规模、占有率、成长及全球产业分析：依类型、应用和地区划分的洞察，以及2024-2032年预测

AI-powered Emotion Analytics Platform Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 120 Pages | 商品交期: 请询问到货日

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人工智慧情感分析平台市场成长推动因素

由于人工智慧技术的进步、对以人为本的数位体验日益增长的关注以及情感识别技术在各行业的广泛应用，全球人工智慧情感分析平台市场正在快速扩张。根据最近的一份报告，该市场预计将在2024年达到75.2亿美元，并在2025年达到87.7亿美元。预计到2032年，该市场将进一步成长至281亿美元，在预测期内实现18.1%的显着复合年增长率。北美地区凭藉其强大的人工智慧基础设施和对情感识别计算解决方案的早期应用，在2024年以30.45%的市场占有率引领全球市场。

以客户为中心的数位转型正在推动市场成长

企业越来越重视个人化、同理心和即时客户互动。传统的调查和满意度评分无法完全捕捉使用者的真实情绪。人工智慧驱动的情绪分析透过分析脸部表情、语气、手势、文字情绪和生理讯号来解决这个难题。这使得品牌能够了解客户的潜在情绪，例如不满、兴奋、困惑和满足。

一个值得注意的例子是，必胜客于2023年6月在其门市部署了情感人工智慧，推出了一套分析顾客面部表情以推荐菜单项目的系统。随着零售、银行、娱乐、远距医疗和客户服务等各个领域对高度个人化互动的期望不断增长，情感分析平台持续获得强劲发展。

生成式人工智慧正在加速市场扩张，实现具有情感感知能力的即时聊天机器人、合成训练资料集和类人沟通。例如，Talkdesk 于 2024 年 6 月发布了 Navigator，这是一款基于生成式人工智慧的应用程序，能够根据用户的情绪状态自订内容和建议。

监理合规限制

儘管发展迅速，但市场在资料隐私和政府监管方面仍面临重大挑战。生物特征情绪资料被归类为敏感个人讯息，并受到 GDPR 和 CCPA 等框架的严格监管。 2025 年 2 月，欧盟人工智慧立法正式禁止在工作场所和线上互动场景中使用情绪追踪工具，进一步限制了其在欧洲的部署。

此外，影响半导体和感测器组件的互惠关税给製造商带来了成本挑战，尤其是在不同地区之间进口关键硬体时。

零售、医疗和汽车领域的机会

体验式零售和智慧商店的兴起为市场参与者提供了最具吸引力的机会之一。情绪感知镜、人工智慧驱动的产品展示和情绪驱动的产品推荐正在改变店内顾客互动方式。零售商也正在部署情绪辨识技术，以优化店铺布局、减少顾客放弃排队的情况，并提供个人化的售后优惠。

医疗保健领域正成为人工智慧技术的主要应用领域。分析微表情、语音生物标记和微妙情绪线索的人工智慧工具正在重塑患者评估和心理健康诊断。 2025年3月，伊利诺大学的研究人员开发了一种基于语音的人工智慧模型，该模型能够透过一分钟的录音检测忧郁和焦虑。

汽车製造商正在将情绪感测器整合到下一代汽车中，以提高驾驶安全性。这些系统会根据即时情绪讯号调整照明、音乐和驾驶辅助功能，加速多模态分析技术的应用。

细分市场洞察

依部署类型

预计云端部署将在 2024 年占主导地位，成长速度最快，这得益于其可扩展性、成本效益和易于整合等优势。云端模式支援电子商务、银行和呼叫中心环境中的大规模即时情绪运算。

依科技

人脸辨识技术凭藉其低硬体要求和即插即用的部署方式，在 2024 年占了最大的市场占有率。

然而，多模态情绪辨识（一种结合了脸部、语音、文字和生物特征认证的技术）由于其检测误差更低且对情绪的上下文理解能力更强，预计将拥有最高的成长率。

依最终使用者划分

2024年，医疗保健领域引领市场，这主要得益于远距医疗的成长以及对情感感知诊断日益增长的需求。

随着银行采用情感感知互动语音应答（IVR）、诈欺侦测和客户互动系统，银行业（BFSI）领域预计将实现最高的复合年增长率（CAGR）。

区域展望

预计到2024年，北美市场规模将维持在22.9亿美元，这主要得益于强大的AI生态系统、麻省理工学院和史丹佛大学等研究机构，以及Affectiva、Cognovi Labs和Raydiant等领先的情感AI公司。由于医疗保健客户服务领域广泛采用伦理AI，预计欧洲市场也将强劲成长。亚太地区预计将以最高的复合年增长率成长，这主要得益于中国、日本和韩国的数位转型以及行动支付的广泛应用，这些都将为情感AI产生最佳的行为数据。在政府主导的数位化措施推动下，中东和南美洲的数位化进程正在稳步推进。

目录

第一章：引言

第二章：摘要整理

第三章：市场动态

  • 宏观与微观经济指标
  • 推动因素、阻碍因素、机会与趋势
  • 生成式人工智慧的影响
  • 互惠关税的影响

第四章：竞争格局

  • 主要公司采用的商业策略
  • 主要公司的综合SWOT分析
  • 全球前3-5大人工智慧情感分析平台公司市占率/排名（2024年）

第五章 全球人工智慧情绪分析平台市场规模依细分市场划分、估算与预测 (2019-2032)

  • 主要研究结果
  • 依部署类型划分
    • 本地部署
    • 云端部署
  • 依技术划分
    • 人脸辨识
    • 语音分析
    • 以文字为主的情绪侦测
    • 多模态情绪识别
    • 生理监测
  • 最终用户划分
    • 医疗保健
    • 汽车与交通运输
    • 零售与电子商务
    • 教育
    • 媒体与娱乐
    • IT
    • 政府与公共安全
    • 银行、金融与保险
    • 其他（学术与研究、旅游、其他）
  • 依区域
    • 北美洲
    • 欧洲
    • 亚太地区
    • 中东和非洲
    • 南美洲

第六章 北美人工智慧情绪分析平台市场规模估算与预测（依细分市场划分，2019-2032 年）

  • 依国家划分
    • 美国
    • 加拿大
    • 墨西哥

第七章 欧洲人工智慧情感分析平台市场规模估算与预测（依细分市场划分，2019-2032 年）

  • 依国家划分
    • 美国王国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 比荷卢经济联盟
    • 北欧国家
    • 欧洲其他地区

第八章：亚太地区人工智慧情绪分析平台市场规模估算与预测（依细分市场划分，2019-2032 年）

  • 依国家划分
    • 中国
    • 日本
    • 印度
    • 韩国
    • 东协
    • 大洋洲
    • 亚太其他地区

第九章：中东与非洲人工智慧情感分析平台市场规模估计与预测（依细分市场划分， 2019-2032)

  • 依国家划分
    • 土耳其
    • 以色列
    • 海湾合作委员会
    • 北非
    • 南非
    • 中东和非洲其他地区

第十章：南美洲人工智慧情绪分析平台市场规模、估计与预测（依细分市场划分，2019-2032）

  • 依国家划分
    • 巴西
    • 阿根廷
    • 南美洲其他地区

第十一章：十大公司简介

  • Affectiva
  • Entropik Technologies Pvt.有限公司
  • Morphcast 公司
  • 表情机器人
  • 艾里斯
  • Realeyes
  • Uniphore
  • Wayvee 分析
  • 雷迪安特
  • 托比伊

第 12 章：要点

Product Code: FBI112940

Growth Factors of AI-powered emotion analytics platform Market

The global AI-powered emotion analytics platform market is expanding rapidly due to advancements in artificial intelligence, growing focus on human-centered digital experiences, and increasing adoption of emotion-aware technologies across industries. According to the latest report, the market was valued at USD 7.52 billion in 2024, is expected to reach USD 8.77 billion in 2025, and is projected to surge to USD 28.10 billion by 2032, registering an impressive CAGR of 18.1% during the forecast period. North America led the global landscape in 2024 with a 30.45% market share, driven by its strong AI infrastructure and early adoption of affective computing solutions.

Market Growth Driven by Customer-Centric Digital Transformation

Businesses are increasingly prioritizing personalized, empathetic, and real-time customer engagement. Traditional tools such as surveys or satisfaction scores cannot capture authentic user emotions. AI-powered emotion analytics addresses this gap by analyzing facial expressions, voice tone, gestures, text sentiment, and physiological signals. This capability enables brands to understand hidden emotions such as frustration, excitement, confusion, or satisfaction.

A notable deployment took place in June 2023, when Pizza Hut implemented emotion AI in its outlets to analyze customer facial expressions and recommend menu items accordingly. With rising expectations for hyper-personalized interactions across retail, banking, entertainment, telehealth, and customer service, emotion analytics platforms continue to gain strong traction.

Generative AI is accelerating market expansion, enabling real-time emotion-aware chatbots, synthetic training datasets, and human-like communication. For example, in June 2024, Talkdesk launched its GenAI-powered Navigator that adjusts content and suggestions based on the user's emotional state.

Market Restraints Due to Regulatory Compliance

Despite rapid advancements, the market faces crucial challenges related to data privacy and government regulations. Biometric emotion data is classified as sensitive personal information, making it subject to strict compliance under frameworks such as GDPR and CCPA. In February 2025, the EU's AI Act officially banned the use of emotion-tracking tools in workplaces and online manipulation scenarios, increasing limitations for European deployments.

Additionally, reciprocal tariffs affecting semiconductor and sensor components pose cost challenges for manufacturers, especially when critical hardware is imported across regions.

Opportunities in Retail, Healthcare & Automotive Applications

The rise of experiential retail and smart stores presents one of the strongest opportunities for market players. Emotion-aware mirrors, AI-driven product displays, and mood-based recommendations are transforming in-store engagement. Retailers are also deploying mood recognition to optimize layouts, reduce queue abandonment, and personalize post-purchase offers.

Healthcare is emerging as a leading adopter. AI tools for analyzing micro-expressions, vocal biomarkers, and subtle emotional cues are reshaping patient assessment and mental health diagnostics. In March 2025, researchers at the University of Illinois developed a voice-based AI model that detects depression and anxiety using a one-minute recording.

Automotive manufacturers are integrating emotion sensors into next-gen vehicles for enhanced driver safety. Systems adjust lighting, music, or assistance features based on real-time emotion signals-accelerating multimodal analytics adoption.

Segmentation Insights

By Deployment

The cloud segment dominated in 2024 and is set to grow fastest due to scalability, cost efficiency, and ease of integration. Cloud models support massive real-time emotion computations across e-commerce, banking, and call center environments.

By Technology

Facial recognition held the largest share in 2024 due to low hardware requirements and plug-and-play implementations.

However, multimodal emotion recognition (combining face, voice, text & biometrics) is expected to grow at the highest rate, as it reduces detection errors and enhances emotional context.

By End-User

Healthcare led the market in 2024, driven by remote therapy growth and rising need for emotion-aware diagnostics.

The BFSI segment is projected to record the highest CAGR, with banks adopting emotion-aware IVR, fraud detection, and customer interaction systems.

Regional Outlook

North America held USD 2.29 billion in 2024 due to its strong AI ecosystem, research institutions such as MIT & Stanford, and presence of major emotion AI companies including Affectiva, Cognovi Labs, and Raydiant. Europe is set for strong growth driven by ethical AI in healthcare and customer service. Asia Pacific will grow at the highest CAGR, led by digital transformation in China, Japan, and South Korea, along with widespread mobile payments generating behavioral data ideal for emotion AI. The Middle East and South America show steady adoption supported by government digitalization efforts.

Conclusion

The AI-powered emotion analytics platform market is on track for exponential growth, rising from USD 7.52 billion in 2024 to USD 8.77 billion in 2025, and projected to reach USD 28.10 billion by 2032. With advancements in multimodal sensing, generative AI, telehealth, automotive intelligence, and retail analytics, the sector is set to redefine human-machine interaction across industries.

Segmentation By Deployment

  • Cloud
  • On-premise

By Technology

  • Facial Recognition
  • Speech & Voice Analysis
  • Text-based Emotion Detection
  • Multimodal Emotion Recognition
  • Physiological Monitoring

By End-User

  • Healthcare
  • Automotive & Transportation
  • Retail & E-commerce
  • Education
  • Media & Entertainment
  • IT
  • Government & Public Safety
  • BFSI
  • Others (Academia & Research, Travel, etc.)

By Region

  • North America (By Deployment, By Technology, By End-User, and By Country)
    • U.S.
    • Canada
    • Mexico
  • Europe (By Deployment, By Technology, By End-User, and By Country)
    • U.K.
    • Germany
    • France
    • Italy
    • Spain
    • Russia
    • Benelux
    • Nordics
    • Rest of Europe
  • Asia Pacific (By Deployment, By Technology, By End-User, and By Country)
    • China
    • India
    • Japan
    • South Korea
    • ASEAN
    • Oceania
    • Rest of Asia Pacific
  • Middle East & Africa (By Deployment, By Technology, By End-User, and By Country)
    • Turkey
    • Israel
    • GCC
    • South Africa
    • North Africa
    • Rest of Middle East & Africa
  • South America (By Deployment, By Technology, By End-User, and By Country)
    • Brazil
    • Argentina
    • Rest of South America

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of Generative AI
  • 3.4. Impact of Reciprocal Tariffs

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global AI-powered Emotion Analytics Platform Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 5.1. Key Findings
  • 5.2. By Deployment (USD)
    • 5.2.1. On-premise
    • 5.2.2. Cloud
  • 5.3. By Technology (USD)
    • 5.3.1. Facial Recognition
    • 5.3.2. Speech & Voice Analysis
    • 5.3.3. Text-based Emotion Detection
    • 5.3.4. Multimodal Emotion Recognition
    • 5.3.5. Physiological Monitoring
  • 5.4. By End-user (USD)
    • 5.4.1. Healthcare
    • 5.4.2. Automotive & Transportation
    • 5.4.3. Retail & E-commerce
    • 5.4.4. Education
    • 5.4.5. Media & Entertainment
    • 5.4.6. IT
    • 5.4.7. Government & Public Safety
    • 5.4.8. BFSI
    • 5.4.9. Others (Academia & Research, Travel, etc.)
  • 5.5. By Region (USD)
    • 5.5.1. North America
    • 5.5.2. Europe
    • 5.5.3. Asia Pacific
    • 5.5.4. Middle East & Africa
    • 5.5.5. South America

6. North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 6.1. Key Findings
  • 6.2. By Deployment (USD)
    • 6.2.1. On-premise
    • 6.2.2. Cloud
  • 6.3. By Technology (USD)
    • 6.3.1. Facial Recognition
    • 6.3.2. Speech & Voice Analysis
    • 6.3.3. Text-based Emotion Detection
    • 6.3.4. Multimodal Emotion Recognition
    • 6.3.5. Physiological Monitoring
  • 6.4. By End-user (USD)
    • 6.4.1. Healthcare
    • 6.4.2. Automotive & Transportation
    • 6.4.3. Retail & E-commerce
    • 6.4.4. Education
    • 6.4.5. Media & Entertainment
    • 6.4.6. IT
    • 6.4.7. Government & Public Safety
    • 6.4.8. BFSI
    • 6.4.9. Others (Academia & Research, Travel, etc.)
  • 6.5. By Country (USD)
    • 6.5.1. U.S.
    • 6.5.2. Canada
    • 6.5.3. Mexico

7. Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 7.1. Key Findings
  • 7.2. By Deployment (USD)
    • 7.2.1. On-premise
    • 7.2.2. Cloud
  • 7.3. By Technology (USD)
    • 7.3.1. Facial Recognition
    • 7.3.2. Speech & Voice Analysis
    • 7.3.3. Text-based Emotion Detection
    • 7.3.4. Multimodal Emotion Recognition
    • 7.3.5. Physiological Monitoring
  • 7.4. By End-user (USD)
    • 7.4.1. Healthcare
    • 7.4.2. Automotive & Transportation
    • 7.4.3. Retail & E-commerce
    • 7.4.4. Education
    • 7.4.5. Media & Entertainment
    • 7.4.6. IT
    • 7.4.7. Government & Public Safety
    • 7.4.8. BFSI
    • 7.4.9. Others (Academia & Research, Travel, etc.)
  • 7.5. By Country (USD)
    • 7.5.1. U.K.
    • 7.5.2. Germany
    • 7.5.3. France
    • 7.5.4. Italy
    • 7.5.5. Spain
    • 7.5.6. Russia
    • 7.5.7. Benelux
    • 7.5.8. Nordics
    • 7.5.9. Rest of Europe

8. Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 8.1. Key Findings
  • 8.2. By Deployment (USD)
    • 8.2.1. On-premise
    • 8.2.2. Cloud
  • 8.3. By Technology (USD)
    • 8.3.1. Facial Recognition
    • 8.3.2. Speech & Voice Analysis
    • 8.3.3. Text-based Emotion Detection
    • 8.3.4. Multimodal Emotion Recognition
    • 8.3.5. Physiological Monitoring
  • 8.4. By End-user (USD)
    • 8.4.1. Healthcare
    • 8.4.2. Automotive & Transportation
    • 8.4.3. Retail & E-commerce
    • 8.4.4. Education
    • 8.4.5. Media & Entertainment
    • 8.4.6. IT
    • 8.4.7. Government & Public Safety
    • 8.4.8. BFSI
    • 8.4.9. Others (Academia & Research, Travel, etc.)
  • 8.5. By Country (USD)
    • 8.5.1. China
    • 8.5.2. Japan
    • 8.5.3. India
    • 8.5.4. South Korea
    • 8.5.5. ASEAN
    • 8.5.6. Oceania
    • 8.5.7. Rest of Asia Pacific

9. Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 9.1. By Deployment (USD)
    • 9.1.1. On-premise
    • 9.1.2. Cloud
  • 9.2. By Technology (USD)
    • 9.2.1. Facial Recognition
    • 9.2.2. Speech & Voice Analysis
    • 9.2.3. Text-based Emotion Detection
    • 9.2.4. Multimodal Emotion Recognition
    • 9.2.5. Physiological Monitoring
  • 9.3. By End-user (USD)
    • 9.3.1. Healthcare
    • 9.3.2. Automotive & Transportation
    • 9.3.3. Retail & E-commerce
    • 9.3.4. Education
    • 9.3.5. Media & Entertainment
    • 9.3.6. IT
    • 9.3.7. Government & Public Safety
    • 9.3.8. BFSI
    • 9.3.9. Others (Academia & Research, Travel, etc.)
  • 9.4. By Country (USD)
    • 9.4.1. Turkey
    • 9.4.2. Israel
    • 9.4.3. GCC
    • 9.4.4. North Africa
    • 9.4.5. South Africa
    • 9.4.6. Rest of Middle East & Africa

10. South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 10.1. Key Findings
  • 10.2. By Deployment (USD)
    • 10.2.1. On-premise
    • 10.2.2. Cloud
  • 10.3. By Technology (USD)
    • 10.3.1. Facial Recognition
    • 10.3.2. Speech & Voice Analysis
    • 10.3.3. Text-based Emotion Detection
    • 10.3.4. Multimodal Emotion Recognition
    • 10.3.5. Physiological Monitoring
  • 10.4. By End-user (USD)
    • 10.4.1. Healthcare
    • 10.4.2. Automotive & Transportation
    • 10.4.3. Retail & E-commerce
    • 10.4.4. Education
    • 10.4.5. Media & Entertainment
    • 10.4.6. IT
    • 10.4.7. Government & Public Safety
    • 10.4.8. BFSI
    • 10.4.9. Others (Academia & Research, Travel, etc.)
  • 10.5. By Country (USD)
    • 10.5.1. Brazil
    • 10.5.2. Argentina
    • 10.5.3. Rest of South America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. Affectiva
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. Entropik Technologies Pvt. Ltd
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. Morphcast Inc.
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. Emotibot
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Eyeris
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. Realeyes
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. Uniphore
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. Wayvee Analytics
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Raydiant
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Tobii
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments

12. Key Takeaways

List of Tables

  • Table 1: Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, 2019 - 2032
  • Table 2: Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 3: Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 4: Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By End-user, 2019 - 2032
  • Table 5: Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Region, 2019 - 2032
  • Table 6: North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, 2019 - 2032
  • Table 7: North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 8: North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 9: North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By End-user, 2019 - 2032
  • Table 10: North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 11: Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, 2019 - 2032
  • Table 12: Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 13: Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 14: Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By End-user, 2019 - 2032
  • Table 15: Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 16: Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, 2019 - 2032
  • Table 17: Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 18: Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 19: Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By End-user, 2019 - 2032
  • Table 20: Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 21: Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, 2019 - 2032
  • Table 22: Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 23: Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 24: Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By End-user, 2019 - 2032
  • Table 25: Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 26: South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, 2019 - 2032
  • Table 27: South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 28: South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 29: South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By End-user, 2019 - 2032
  • Table 30: South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Country, 2019 - 2032

List of Figures

  • Figure 1: Global AI-powered Emotion Analytics Platform Market Revenue Share (%), 2024 and 2032
  • Figure 2: Global AI-powered Emotion Analytics Platform Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 3: Global AI-powered Emotion Analytics Platform Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 4: Global AI-powered Emotion Analytics Platform Market Revenue Share (%), By End-user, 2024 and 2032
  • Figure 5: Global AI-powered Emotion Analytics Platform Market Revenue Share (%), By Region, 2024 and 2032
  • Figure 6: North America AI-powered Emotion Analytics Platform Market Revenue Share (%), 2024 and 2032
  • Figure 7: North America AI-powered Emotion Analytics Platform Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 8: North America AI-powered Emotion Analytics Platform Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 9: North America AI-powered Emotion Analytics Platform Market Revenue Share (%), By End-user, 2024 and 2032
  • Figure 10: North America AI-powered Emotion Analytics Platform Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 11: Europe AI-powered Emotion Analytics Platform Market Revenue Share (%), 2024 and 2032
  • Figure 12: Europe AI-powered Emotion Analytics Platform Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 13: Europe AI-powered Emotion Analytics Platform Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 14: Europe AI-powered Emotion Analytics Platform Market Revenue Share (%), By End-user, 2024 and 2032
  • Figure 15: Europe AI-powered Emotion Analytics Platform Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 16: Asia Pacific AI-powered Emotion Analytics Platform Market Revenue Share (%), 2024 and 2032
  • Figure 17: Asia Pacific AI-powered Emotion Analytics Platform Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 18: Asia Pacific AI-powered Emotion Analytics Platform Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 19: Asia Pacific AI-powered Emotion Analytics Platform Market Revenue Share (%), By End-user, 2024 and 2032
  • Figure 20: Asia Pacific AI-powered Emotion Analytics Platform Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 21: Middle East & Africa AI-powered Emotion Analytics Platform Market Revenue Share (%), 2024 and 2032
  • Figure 22: Middle East & Africa AI-powered Emotion Analytics Platform Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 23: Middle East & Africa AI-powered Emotion Analytics Platform Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 24: Middle East & Africa AI-powered Emotion Analytics Platform Market Revenue Share (%), By End-user, 2024 and 2032
  • Figure 25: Middle East & Africa AI-powered Emotion Analytics Platform Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 26: South America AI-powered Emotion Analytics Platform Market Revenue Share (%), 2024 and 2032
  • Figure 27: South America AI-powered Emotion Analytics Platform Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 28: South America AI-powered Emotion Analytics Platform Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 29: South America AI-powered Emotion Analytics Platform Market Revenue Share (%), By End-user, 2024 and 2032
  • Figure 30: South America AI-powered Emotion Analytics Platform Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 31: Global AI-powered Emotion Analytics Platform Key Players' Market Share/Ranking (%), 2024