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1520713

全球情感人工智慧市場規模研究（按組成部分、企業規模、應用程式和 2022-2032 年區域預測）

Global Emotion AI Market Size Study, by Component, by Enterprise Size, by Application, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年全球情緒人工智慧市場價值約為22.1億美元，預計在2024-2032年預測期內將以超過22.91%的健康成長率成長。情感人工智慧，也稱為情感運算，是解釋和回應人類情感的人工智慧的一個子集。該技術涵蓋自然語言處理（NLP）、情緒分析、語音情緒人工智慧和臉部運動分析，從文字、音訊和視訊來源中獲取情感洞察。情感AI的應用涵蓋各行業，透過提供即時情感分析來增強行銷、醫療保健、金融等方面的能力。將情感人工智慧與物聯網、雲端運算和進階分析等新興技術結合的趨勢，推動創新並擴大應用領域。例如，AB Tasty's 推出了 EmotionsAI，強調了 2023 年基於人工智慧的受眾基於情感需求的潛力，為個性化客戶體驗和促進市場成長鋪平了道路。

在人工智慧和機器學習技術的快速進步以及生物辨識和臉部辨識系統的廣泛採用的推動下，情感人工智慧市場正在經歷強勁成長。這些技術使電腦和設備能夠根據面部表情、語氣和手勢來檢測、解釋和回應人類情緒。醫療保健、零售、汽車和娛樂等各行業的組織正在利用情感人工智慧來增強客戶體驗、個人化互動並改善服務交付。例如，在醫療保健領域，情緒人工智慧有助於患者監測和心理健康評估，而在零售領域，它可以最佳化客戶參與和回饋分析。生物辨識技術、臉部辨識與情緒人工智慧的整合增強了安全系統，實現了更準確的識別和身份驗證過程。此外，人工智慧演算法的進步不斷完善情緒辨識能力，使其更加可靠和通用。隨著這些技術變得更加複雜和易於使用，對情感人工智慧解決方案的需求預計將進一步成長，從而推動創新並改變企業和個人以更直覺和響應更快的方式與技術互動的方式。此外，不同行業中情緒檢測解決方案的使用不斷增加推動了市場擴張。然而，與應用程式開發和資料管理相關的高成本給市場成長帶來了挑戰。

全球情感人工智慧市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲以及中東和非洲。 2023年，在優先考慮資料安全和合規性的大型企業和政府組織的強勁推動下，北美在情感人工智慧市場佔據主導地位。北美擁有蓬勃發展的科技生態系統，集中了領先的人工智慧公司、研究機構和專門從事情感識別技術的新創公司。這些實體推動創新並制定行業標準，吸引對人工智慧驅動解決方案的大量投資。北美的醫療保健、零售、汽車和娛樂等產業是情感人工智慧應用的早期採用者。這些行業利用情感識別來增強客戶體驗、個人化服務並最佳化營運效率。例如，在醫療保健領域，情緒人工智慧透過分析情緒線索和反應來幫助患者護理，而在零售領域，它可以改善行銷策略和客戶滿意度。此外，由於網路攻擊事件數量不斷增加以及該地區各行業對先進情感人工智慧解決方案的需求不斷增加，預計亞太地區在 2024 年至 2032 年預測期內將呈現最高成長。

目錄

第 1 章：全球情感人工智慧市場執行摘要

  • 全球情感人工智慧市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按組件
    • 按企業規模
    • 按申請
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球情感人工智慧市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包含與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第3章：全球情感人工智慧市場動態

  • 市場促進因素
    • 人工智慧和機器學習技術大幅成長
    • 生物辨識和臉部辨識技術的採用增加
    • 情緒檢測解決方案的使用激增
  • 市場挑戰
    • 應用開發成本高
    • 資料儲存和管理問題
  • 市場機會
    • 整合基於物聯網的技術
    • 穿戴式裝置的擴展
    • 安全資料視覺化工具的興起

第 4 章：全球情感 AI 市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：2022-2032 年全球情感 AI 市場規模及組成部分預測

  • 細分儀表板
  • 全球情感人工智慧市場：2022 年和 2032 年組件收入趨勢分析
    • 軟體
    • 服務

第 6 章：2022-2032 年全球情感 AI 市場規模與企業規模預測

  • 細分儀表板
  • 全球情感人工智慧市場：2022年及2032年企業規模收入趨勢分析
    • 大型企業
    • 中小企業

第 7 章：2022-2032 年全球情感 AI 市場規模及應用預測

  • 細分儀表板
  • 全球情感人工智慧市場：2022 年和 2032 年應用收入趨勢分析
    • BFSI
    • 衛生保健
    • 資訊科技和電信
    • 零售及電子商務
    • 政府
    • 媒體與娛樂
    • 汽車
    • 其他

第 8 章：2022-2032 年全球情感 AI 市場規模及地區預測

  • 北美情感人工智慧市場
    • 美國情感人工智慧市場
      • 2022-2032 年組件細分尺寸與預測
      • 2022-2032 年企業規模細分規模與預測
      • 2022-2032 年應用細分規模與預測
    • 加拿大情感人工智慧市場
      • 2022-2032 年組件細分尺寸與預測
      • 2022-2032 年企業規模細分規模與預測
      • 2022-2032 年應用細分規模與預測
  • 歐洲情感人工智慧市場
    • 英國情感人工智慧市場
    • 德國情感人工智慧市場
    • 法國情感人工智慧市場
    • 西班牙情感人工智慧市場
    • 義大利情感人工智慧市場
    • 歐洲其他地區情感人工智慧市場
  • 亞太情感人工智慧市場
    • 中國情感人工智慧市場
    • 印度情感人工智慧市場
    • 日本情感AI市場
    • 澳洲情感人工智慧市場
    • 韓國情感AI市場
    • 亞太地區其他情感人工智慧市場
  • 拉丁美洲情感人工智慧市場
    • 巴西情感人工智慧市場
    • 墨西哥情感人工智慧市場
    • 拉丁美洲其他地區情感人工智慧市場
  • 中東和非洲情感人工智慧市場
    • 沙烏地阿拉伯情感人工智慧市場
    • 南非情感人工智慧市場
    • 中東和非洲其他地區情感人工智慧市場

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Affectiva
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • IBM Corporation
    • Microsoft Corporation
    • Beyond Verbal
    • Kairos
    • Noldus Information Technology
    • Realeyes
    • Sentiance
    • Sightcorp
    • CrowdEmotion
    • Cognitec Systems
    • Eyeris
    • NEC Corporation
    • Nuance Communications
    • Tobii AB

第 10 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Emotion AI Market is valued at approximately USD 2.21 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 22.91% over the forecast period 2024-2032. Emotion AI, also known as affective computing, is a subset of artificial intelligence that interprets and responds to human emotions. This technology encompasses natural language processing (NLP), sentiment analysis, voice emotion AI, and facial movement analysis, deriving emotional insights from text, audio, and video sources. Emotion AI's applications span various industries, enhancing capabilities in marketing, healthcare, finance, and more, by offering real-time emotional analysis. The trend towards integrating emotion AI with emerging technologies like IoT, cloud computing, and advanced analytics, driving innovation and expanding application areas. For instance, AB Tasty's launched its EmotionsAI that highlights the potential of AI-based audience based on emotional needs in 2023, paving the way for personalized customer experiences and boosting market growth.

The emotion AI market is experiencing robust growth driven by rapid advancements in AI and machine learning technologies, coupled with increased adoption of biometrics and facial recognition systems. These technologies enable computers and devices to detect, interpret, and respond to human emotions based on facial expressions, voice tones, and gestures. Organizations across various industries, including healthcare, retail, automotive, and entertainment, are leveraging emotion AI to enhance customer experiences, personalize interactions, and improve service delivery. For instance, in healthcare, emotion AI helps in patient monitoring and mental health assessment, while in retail, it optimizes customer engagement and feedback analysis. The integration of biometrics and facial recognition with emotion AI enhances security systems, enabling more accurate identification and authentication processes. Moreover, advancements in AI algorithms continually refine emotion recognition capabilities, making them more reliable and versatile. As these technologies become more sophisticated and accessible, the demand for emotion AI solutions is expected to grow further, driving innovation and transforming how businesses and individuals interact with technology in a more intuitive and responsive manner. Furthermore, the rising usage of emotion detection solutions across diverse industries propels market expansion. However, the high cost associated with application development and data management poses challenges to market growth.

The key regions considered for the Global Emotion AI Market study include Asia Pacific, North America, Europe, Latin America, and the Middle East & Africa. In 2023, North America held the dominant share in the emotion AI market, driven by the strong presence of large enterprises and government organizations prioritizing data safety and compliance. North America is home to a thriving tech ecosystem with a concentration of leading AI companies, research institutions, and startups specializing in emotion recognition technologies. These entities drive innovation and set industry standards, attracting substantial investments in AI-driven solutions. Industries in North America, including healthcare, retail, automotive, and entertainment, are early adopters of emotion AI applications. These sectors leverage emotion recognition to enhance customer experiences, personalize services, and optimize operational efficiencies. For instance, in healthcare, emotion AI aids in patient care by analyzing emotional cues and responses, while in retail, it improves marketing strategies and customer satisfaction. Furthermore, Asia-Pacific is projected to exhibit the highest growth during the forecast period 2024-2032, attributed to the rising number of cyberattack incidents and the increasing demand for advanced emotion AI solutions across various industries in the region.

Major market players included in this report are:

  • Affectiva
  • IBM Corporation
  • Microsoft Corporation
  • Beyond Verbal
  • Kairos
  • Noldus Information Technology
  • Realeyes
  • Sentiance
  • Sightcorp
  • CrowdEmotion
  • Cognitec Systems
  • Eyeris
  • NEC Corporation
  • Nuance Communications
  • Tobii AB

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Software
  • Service

By Enterprise Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

By Application:

  • BFSI
  • Healthcare
  • IT and Telecommunication
  • Retail and E-commerce
  • Government
  • Media and Entertainment
  • Automotive
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Emotion AI Market Executive Summary

  • 1.1. Global Emotion AI Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Enterprise Size
    • 1.3.3. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Emotion AI Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Emotion AI Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Substantial growth in AI and ML technologies
    • 3.1.2. Increase in adoption of biometrics and facial recognition
    • 3.1.3. Surge in usage of emotion detection solutions
  • 3.2. Market Challenges
    • 3.2.1. High cost of application and development
    • 3.2.2. Data storage and management issues
  • 3.3. Market Opportunities
    • 3.3.1. Integration in IoT-based technologies
    • 3.3.2. Expansion of wearable devices
    • 3.3.3. Rise in visualization tools for security data

Chapter 4. Global Emotion AI Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Emotion AI Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Emotion AI Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Software
    • 5.2.2. Service

Chapter 6. Global Emotion AI Market Size & Forecasts by Enterprise Size 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Emotion AI Market: Enterprise Size Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Large Enterprises
    • 6.2.2. Small and Medium-sized Enterprises

Chapter 7. Global Emotion AI Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Emotion AI Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. BFSI
    • 7.2.2. Healthcare
    • 7.2.3. IT and Telecommunication
    • 7.2.4. Retail and E-commerce
    • 7.2.5. Government
    • 7.2.6. Media and Entertainment
    • 7.2.7. Automotive
    • 7.2.8. Others

Chapter 8. Global Emotion AI Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Emotion AI Market
    • 8.1.1. U.S. Emotion AI Market
      • 8.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Enterprise Size breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Application breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Emotion AI Market
      • 8.1.2.1. Component breakdown size & forecasts, 2022-2032
      • 8.1.2.2. Enterprise Size breakdown size & forecasts, 2022-2032
      • 8.1.2.3. Application breakdown size & forecasts, 2022-2032
  • 8.2. Europe Emotion AI Market
    • 8.2.1. U.K. Emotion AI Market
    • 8.2.2. Germany Emotion AI Market
    • 8.2.3. France Emotion AI Market
    • 8.2.4. Spain Emotion AI Market
    • 8.2.5. Italy Emotion AI Market
    • 8.2.6. Rest of Europe Emotion AI Market
  • 8.3. Asia-Pacific Emotion AI Market
    • 8.3.1. China Emotion AI Market
    • 8.3.2. India Emotion AI Market
    • 8.3.3. Japan Emotion AI Market
    • 8.3.4. Australia Emotion AI Market
    • 8.3.5. South Korea Emotion AI Market
    • 8.3.6. Rest of Asia Pacific Emotion AI Market
  • 8.4. Latin America Emotion AI Market
    • 8.4.1. Brazil Emotion AI Market
    • 8.4.2. Mexico Emotion AI Market
    • 8.4.3. Rest of Latin America Emotion AI Market
  • 8.5. Middle East & Africa Emotion AI Market
    • 8.5.1. Saudi Arabia Emotion AI Market
    • 8.5.2. South Africa Emotion AI Market
    • 8.5.3. Rest of Middle East & Africa Emotion AI Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. Affectiva
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. IBM Corporation
    • 9.3.3. Microsoft Corporation
    • 9.3.4. Beyond Verbal
    • 9.3.5. Kairos
    • 9.3.6. Noldus Information Technology
    • 9.3.7. Realeyes
    • 9.3.8. Sentiance
    • 9.3.9. Sightcorp
    • 9.3.10. CrowdEmotion
    • 9.3.11. Cognitec Systems
    • 9.3.12. Eyeris
    • 9.3.13. NEC Corporation
    • 9.3.14. Nuance Communications
    • 9.3.15. Tobii AB

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes