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人工智慧情感分析平台市場規模、佔有率、成長及全球產業分析：依類型、應用和地區劃分的洞察，以及2024-2032年預測

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: 請詢問到貨日

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人工智慧情感分析平台市場成長推動因素

由於人工智慧技術的進步、對以人為本的數位體驗日益增長的關注以及情感識別技術在各行業的廣泛應用，全球人工智慧情感分析平台市場正在快速擴張。根據最近的一份報告，該市場預計將在2024年達到75.2億美元，並在2025年達到87.7億美元。預計到2032年，該市場將進一步成長至281億美元，在預測期內實現18.1%的顯著複合年增長率。北美地區憑藉其強大的人工智慧基礎設施和對情感識別計算解決方案的早期應用，在2024年以30.45%的市場佔有率引領全球市場。

以客戶為中心的數位轉型正在推動市場成長

企業越來越重視個人化、同理心和即時客戶互動。傳統的調查和滿意度評分無法完全捕捉使用者的真實情緒。人工智慧驅動的情緒分析透過分析臉部表情、語氣、手勢、文字情緒和生理訊號來解決這個難題。這使得品牌能夠了解客戶的潛在情緒，例如不滿、興奮、困惑和滿足。

一個值得注意的例子是，必勝客於2023年6月在其門市部署了情感人工智慧，推出了一套分析顧客面部表情以推薦菜單項目的系統。隨著零售、銀行、娛樂、遠距醫療和客戶服務等各個領域對高度個人化互動的期望不斷增長，情感分析平台持續獲得強勁發展。

生成式人工智慧正在加速市場擴張，實現具有情感感知能力的即時聊天機器人、合成訓練資料集和類人溝通。例如，Talkdesk 於 2024 年 6 月發布了 Navigator，這是一款基於生成式人工智慧的應用程序，能夠根據用戶的情緒狀態自訂內容和建議。

監理合規限制

儘管發展迅速，但市場在資料隱私和政府監管方面仍面臨重大挑戰。生物特徵情緒資料被歸類為敏感個人訊息，並受到 GDPR 和 CCPA 等框架的嚴格監管。 2025 年 2 月，歐盟人工智慧立法正式禁止在工作場所和線上互動場景中使用情緒追蹤工具，進一步限制了其在歐洲的部署。

此外，影響半導體和感測器組件的互惠關稅給製造商帶來了成本挑戰，尤其是在不同地區之間進口關鍵硬體時。

零售、醫療和汽車領域的機會

體驗式零售和智慧商店的興起為市場參與者提供了最具吸引力的機會之一。情緒感知鏡、人工智慧驅動的產品展示和情緒驅動的產品推薦正在改變店內顧客互動方式。零售商也正在部署情緒辨識技術，以優化店鋪佈局、減少顧客放棄排隊的情況，並提供個人化的售後優惠。

醫療保健領域正成為人工智慧技術的主要應用領域。分析微表情、語音生物標記和微妙情緒線索的人工智慧工具正在重塑患者評估和心理健康診斷。 2025年3月，伊利諾大學的研究人員開發了一種基於語音的人工智慧模型，該模型能夠透過一分鐘的錄音檢測憂鬱和焦慮。

汽車製造商正在將情緒感測器整合到下一代汽車中，以提高駕駛安全性。這些系統會根據即時情緒訊號調整照明、音樂和駕駛輔助功能，加速多模態分析技術的應用。

細分市場洞察

依部署類型

預計雲端部署將在 2024 年佔主導地位，成長速度最快，這得益於其可擴展性、成本效益和易於整合等優勢。雲端模式支援電子商務、銀行和呼叫中心環境中的大規模即時情緒運算。

依科技

人臉辨識技術憑藉其低硬體要求和即插即用的部署方式，在 2024 年佔了最大的市場佔有率。

然而，多模態情緒辨識（一種結合了臉部、語音、文字和生物特徵認證的技術）由於其檢測誤差更低且對情緒的上下文理解能力更強，預計將擁有最高的成長率。

依最終使用者劃分

2024年，醫療保健領域引領市場，這主要得益於遠距醫療的成長以及對情感感知診斷日益增長的需求。

隨著銀行採用情感感知互動語音應答（IVR）、詐欺偵測和客戶互動系統，銀行業（BFSI）領域預計將實現最高的複合年增長率（CAGR）。

區域展望

預計到2024年，北美市場規模將維持在22.9億美元，這主要得益於強大的AI生態系統、麻省理工學院和史丹佛大學等研究機構，以及Affectiva、Cognovi Labs和Raydiant等領先的情感AI公司。由於醫療保健客戶服務領域廣泛採用倫理AI，預計歐洲市場也將強勁成長。亞太地區預計將以最高的複合年增長率成長，這主要得益於中國、日本和韓國的數位轉型以及行動支付的廣泛應用，這些都將為情感AI產生最佳的行為數據。在政府主導的數位化措施推動下，中東和南美洲的數位化進程正在穩步推進。

目錄

第一章：引言

第二章：摘要整理

第三章：市場動態

  • 宏觀與微觀經濟指標
  • 推動因素、阻礙因素、機會與趨勢
  • 生成式人工智慧的影響
  • 互惠關稅的影響

第四章：競爭格局

  • 主要公司採用的商業策略
  • 主要公司的綜合SWOT分析
  • 全球前3-5大人工智慧情感分析平台公司市佔率/排名（2024年）

第五章 全球人工智慧情緒分析平台市場規模依細分市場劃分、估算與預測 (2019-2032)

  • 主要研究結果
  • 依部署類型劃分
    • 本地部署
    • 雲端部署
  • 依技術劃分
    • 人臉辨識
    • 語音分析
    • 以文字為主的情緒偵測
    • 多模態情緒識別
    • 生理監測
  • 最終用戶劃分
    • 醫療保健
    • 汽車與交通運輸
    • 零售與電子商務
    • 教育
    • 媒體與娛樂
    • IT
    • 政府與公共安全
    • 銀行、金融與保險
    • 其他（學術與研究、旅遊、其他）
  • 依區域
    • 北美洲
    • 歐洲
    • 亞太地區
    • 中東和非洲
    • 南美洲

第六章 北美人工智慧情緒分析平台市場規模估算與預測（依細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 美國
    • 加拿大
    • 墨西哥

第七章 歐洲人工智慧情感分析平台市場規模估算與預測（依細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 美國王國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 比荷盧經濟聯盟
    • 北歐國家
    • 歐洲其他地區

第八章：亞太地區人工智慧情緒分析平台市場規模估算與預測（依細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 中國
    • 日本
    • 印度
    • 韓國
    • 東協
    • 大洋洲
    • 亞太其他地區

第九章：中東與非洲人工智慧情感分析平台市場規模估計與預測（依細分市場劃分， 2019-2032)

  • 依國家劃分
    • 土耳其
    • 以色列
    • 海灣合作委員會
    • 北非
    • 南非
    • 中東和非洲其他地區

第十章：南美洲人工智慧情緒分析平台市場規模、估計與預測（依細分市場劃分，2019-2032）

  • 依國家劃分
    • 巴西
    • 阿根廷
    • 南美洲其他地區

第十一章：十大公司簡介

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

第 12 章：要點

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