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市場調查報告書
商品編碼
1456936

情感人工智慧市場－2024年至2029年預測

Emotional AI Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 138 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

情感人工智慧市場預計將以 13.19% 的複合年成長率成長，從 2022 年的 294.12 億美元增加到 2029 年的 700.33 億美元。

情感人工智慧是指利用軟體應用程式和人類智慧來分析和解釋使用者的情感。它可以破解臉部動作、分析聲音調變並檢測身體動作以深入了解您的情緒。 AI技術的軟體和功能的技術進步導致了這項功能在AI市場的採用。情感人工智慧可以大大幫助企業了解使用者及其偏好。接收情感回饋的能力有助於公司改進產品以滿足使用者需求。隨著各領域對情感人工智慧的需求不斷增加，情感人工智慧市場預計將擴大。

市場驅動力

  • 增加對聊天機器人的投資正在推動市場成長。

全球主要企業都在投資開發成功的人工智慧輔助對話聊天機器人，以產生更高的收益和報酬率。例如，蘋果正在添加和增強其語音援助聊天機器人 Siri 的功能，以便為客戶提供更好的體驗。消費者對創新聊天機器人的興趣日益濃厚，促使企業投資並探索新的聊天機器人產品。透過在人工智慧輔助聊天機器人中採用情感人工智慧，您可以更了解使用者所經歷的情緒，並提高聊天機器人的整體功能和效能。因此，情感AI在聊天機器人設計中的運用將是推動情感AI市場開拓的關鍵因素。

  • 教育機構採用情感人工智慧正在對市場成長產生正面影響。

在學校和課堂活動中採用情感人工智慧，為了解教學環境和課堂上幼兒的情感健康提供了機會。例如，Find Solutions AI 正在與香港的一所學校合作，透過分析臉部肌肉運動來解讀小學生情緒的負面和正面變化。這使得教師和學校可以檢查學生是否在課堂上集中註意力並理解課程內容。因此，考慮到推動情緒人工智慧軟體需求的關鍵因素，可以預測情緒人工智慧市場將在預測期內見證市場擴張。

預計北美地區將出現顯著成長

北美在情感人工智慧市場中佔有重要佔有率，並且在預測期內佔有重要佔有率，因為北美領先的科技公司正在積極投資於包括情感人工智慧在內的所有領域的人工智慧軟體的創新新開發。 。谷歌、IBM、微軟和蘋果等公司不斷努力改進其產品系列併更好地服務客戶。為了改善客戶體驗，他們正在將人工智慧軟體擴展到會話聊天機器人和情緒檢測領域。這些發展應用於客戶服務、對話式聊天機器人和遊戲領域。因此，考慮到北美對情感人工智慧的高投資以及多個細分領域對人工智慧的需求，預計北美人工智慧市場在預測期內將出現顯著擴張。

市場挑戰

  • 人類情感的複雜性和個體差異可能會限制情感AI市場的發展。

情感人工智慧軟體產生偏見和不準確情感的風險很高。情緒人工智慧軟體分析您的肢體語言、臉部表情和言語，以了解您的情緒狀態。除此之外，情感AI應用只能模仿情感，不具備自己產生情感的能力。擁有情緒可以讓人類更理解其他人所感受到的情緒。因此，情緒AI有時會偵測到錯誤的情緒，通常無法使用自己的情緒與客戶互動。隨著人工智慧技術的進一步研發和進步，可能會在很大程度上克服這些限制，但在這種發展發生之前，情感人工智慧市場可能會面臨一些客戶群的阻力和懷疑。

主要進展：

  • 2023 年 7 月：安通林推出了GENIUS計劃，旨在開發人工智慧，利用即時感測透過與生物特徵參數進行比較來確定情緒、認知狀態和心情。
  • 2023年1月，針對導師細分市場的對話式情緒AI公司Cogito在其情緒AI軟體中加入了轉錄功能，並引入了新功能來提高其情緒AI能力。
  • 2022 年 7 月，印度情感人工智慧新興企業Lightbulb Ai 獲得 150 萬美元的額外投資，用於擴展資料集並增強其機器學習演算法。
  • 2021 年 6 月，瑞典人工智慧技術公司 Smart Eye 收購了情緒人​​工智慧公司 Affectiva，該公司的程式可以在 1.3 秒內偵測語音筆記中的憤怒情緒。

目錄

第1章 簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • 分析師觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章情感人工智慧市場：按發展分類

  • 介紹
  • 雲
  • 本地

第6章情感人工智慧市場：依應用分類

  • 介紹
  • 車
  • 家用電器
  • 客戶服務
  • 遊戲
  • 醫療保健
  • 其他

第7章情感人工智慧市場：按地區

  • 介紹
  • 北美洲
  • 南美洲
  • 歐洲
  • 中東/非洲
  • 亞太地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第9章 公司簡介

  • Entropik Tech
  • Google Inc.
  • IBM Corporation
  • Amazon Inc.
  • Elokence
  • Hopelab
  • Emotibot（Zhujian Intelligent Technology Co., Ltd.）
  • Affectiva
簡介目錄
Product Code: KSI061614649

The emotional AI market is projected to grow at a CAGR of 13.19% to reach US$70.033 billion in 2029 from US$29.412 billion in 2022.

Emotional AI refers to the use of software applications and human intelligence to analyze and interpret the emotions of the user. It decodes facial movements, analyzes voice modulation, and detects body movements to offer insight into the emotions of the user. The technological advancements in artificial intelligence technology software and features have resulted in the adoption of this feature in the AI market. Emotional AI is very helpful for companies to understand their users and their preferences. The feature of receiving emotional feedback can help companies to work on improving their products to satisfy the requirements of their users. The rising demand for emotional AI across different sectors shall result in the expansion of the emotional AI market.

Market Drivers

  • Increasing investments in Chatbots has propelled the market growth.

Major companies across the planet are investing in developing successful AI-assisted conversational chatbots to generate higher revenue and profit margin. For instance, Apple has been adding and enhancing the features of its voice assistance chatbot Siri to offer a better experience to its customers. The growing interest in consumers for innovative chatbots is encouraging companies to invest in and research new chatbot products. The adoption of emotional AI into AI-assisted chatbots can improve the overall functioning and performance of the chatbots by gaining better knowledge about the emotions experienced by their users. Therefore, the utilization of emotional AI in designing chatbots shall be a key factor in enforcing developments in the emotional AI market.

  • Adoption of emotional AIs in educational institutions has positively impacted market growth.

The adoption of emotional artificial intelligence in the activities of schools and classrooms provides an opportunity of understanding the class environment and the emotional well-being of the children in the classroom. For instance, Find Solutions AI has collaborated with schools in Hong Kong to interpret the negative and positive changes in the emotions of school children by analyzing their facial muscle movements. This can help the teachers and school check whether the students are able to concentrate in class and understand the content of the teachings. Therefore, considering the key factors driving demand for emotional AI software, it can be anticipated that the emotional AI market will experience market expansion over the forecast period.

North America is expected to grow at a significant rate

North America is projected to hold a considerable share in the emotional AI market and is expected to grow as a significant rate during the forecast period as leading technology companies in North America are actively investing to innovate new developments in artificial intelligence software in all fields including emotional AI. Companies like Google, IBM, Microsoft, and Apple are constantly striving to improve their product portfolio and offer better services to their customers. To enhance the customer experience, they have been expanding artificial intelligence software into conversational chatbots and emotion detection fields. These developments are being applied in customer service, conversational chatbots, and gaming sectors. Therefore, considering the high amount of investment into emotional AI and the demand for AI across a few sectors in North America, it can be anticipated that the North American AI market will demonstrate significant expansion over the forecast period.

Market Challenges

  • The complexity and individual variations of some human emotions could restrain the advancement of the emotional AI market.

There is a high risk of biased and inaccurate emotional reading by emotional AI software. Emotional AI software analyses the body language, facial expressions, and words of the user to get an understanding of the emotional state of the user. Apart from this, emotional artificial intelligence applications can only mimic emotions and do not possess the capability of producing emotions on their own. The possession of emotions by humans helps them develop a better understanding of the emotions felt by other humans. As a result of this, the emotional AI might sometimes detect incorrect emotions and are generally not able to interact with its customers using its own emotions. With further research and advancements in AI technology, it might be possible to overcome these limitations to a large extent, but until such developments, the emotional AI market might face resistance and skepticism from a fraction of its customer base.

Key Developments:

  • In July 2023: Antolin launched "GENIUS" project which aimed to develop the Artificial Intelligence that would determine emotional and cognitive states and moods by corelating them to biometric parameters via real-time sensing.
  • In January 2023, Cogito, a conversational and emotional AI targeting the tutoring field introduced new features to improve its emotional AI functions by including a transcription feature in its emotional AI software.
  • In July 2022, Lightbulb Ai, an emotional AI startup in India secured an additional investment of US$1.5 million to expand its datasets and strengthen its machine learning algorithms. This startup has four clients including a Columbian company and is planning on using the investment to expand its operations to cater to the international market.
  • In June 2021, Smart Eye, a Swedish AI technology company, purchased Affectiva, an emotional AI company that has programs to detect anger from voice notes in less than 1.3 seconds.

Segmentation:

By Deployment

  • Cloud
  • On-premise

By Applications

  • Automotive
  • Consumer Electronics
  • Customer Services
  • Gaming
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Singapore
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline
  • 1.8. Key Benefits to the stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. EMOTIONAL AI MARKET BY DEPLOYMENT

  • 5.1. Introduction
  • 5.2. Cloud
    • 5.2.1. Market Trends and Opportunities
    • 5.2.2. Growth Prospects
    • 5.2.3. Geographic Lucrativeness Insight
  • 5.3. On-Premise
    • 5.3.1. Market Trends and Opportunities
    • 5.3.2. Growth Prospects
    • 5.3.3. Geographic Lucrativeness Insight

6. EMOTIONAL AI MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Automotive
    • 6.2.1. Market Trends and Opportunities
    • 6.2.2. Growth Prospects
    • 6.2.3. Geographic Lucrativeness Insight
  • 6.3. Consumer Electronics
    • 6.3.1. Market Trends and Opportunities
    • 6.3.2. Growth Prospects
    • 6.3.3. Geographic Lucrativeness Insight
  • 6.4. Customer Services
    • 6.4.1. Market Trends and Opportunities
    • 6.4.2. Growth Prospects
    • 6.4.3. Geographic Lucrativeness Insight
  • 6.5. Gaming
    • 6.5.1. Market Trends and Opportunities
    • 6.5.2. Growth Prospects
    • 6.5.3. Geographic Lucrativeness Insight
  • 6.6. Healthcare
    • 6.6.1. Market Trends and Opportunities
    • 6.6.2. Growth Prospects
    • 6.6.3. Geographic Lucrativeness Insight
  • 6.7. Others
    • 6.7.1. Market Trends and Opportunities
    • 6.7.2. Growth Prospects
    • 6.7.3. Geographic Lucrativeness Insight

7. EMOTIONAL AI MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Deployment
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. USA
        • 7.2.3.1.1. Market Trends and Opportunities
        • 7.2.3.1.2. Growth Prospects
      • 7.2.3.2. Canada
        • 7.2.3.2.1. Market Trends and Opportunities
        • 7.2.3.2.2. Growth Prospects
      • 7.2.3.3. Mexico
        • 7.2.3.3.1. Market Trends and Opportunities
        • 7.2.3.3.2. Growth Prospects
  • 7.3. South America
    • 7.3.1. By Deployment
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
        • 7.3.3.1.1. Market Trends and Opportunities
        • 7.3.3.1.2. Growth Prospects
      • 7.3.3.2. Argentina
        • 7.3.3.2.1. Market Trends and Opportunities
        • 7.3.3.2.2. Growth Prospects
      • 7.3.3.3. Others
        • 7.3.3.3.1. Market Trends and Opportunities
        • 7.3.3.3.2. Growth Prospects
  • 7.4. Europe
    • 7.4.1. By Deployment
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. UK
        • 7.4.3.1.1. Market Trends and Opportunities
        • 7.4.3.1.2. Growth Prospects
      • 7.4.3.2. Germany
        • 7.4.3.2.1. Market Trends and Opportunities
        • 7.4.3.2.2. Growth Prospects
      • 7.4.3.3. France
        • 7.4.3.3.1. Market Trends and Opportunities
        • 7.4.3.3.2. Growth Prospects
      • 7.4.3.4. Italy
        • 7.4.3.4.1. Market Trends and Opportunities
        • 7.4.3.4.2. Growth Prospects
      • 7.4.3.5. Spain
        • 7.4.3.5.1. Market Trends and Opportunities
        • 7.4.3.5.2. Growth Prospects
      • 7.4.3.6. Others
        • 7.4.3.6.1. Market Trends and Opportunities
        • 7.4.3.6.2. Growth Prospects
  • 7.5. Middle East and Africa
    • 7.5.1. By Deployment
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
        • 7.5.3.1.1. Market Trends and Opportunities
        • 7.5.3.1.2. Growth Prospects
      • 7.5.3.2. UAE
        • 7.5.3.2.1. Market Trends and Opportunities
        • 7.5.3.2.2. Growth Prospects
      • 7.5.3.3. Others
        • 7.5.3.3.1. Market Trends and Opportunities
        • 7.5.3.3.2. Growth Prospects
  • 7.6. Asia Pacific
    • 7.6.1. By Deployment
    • 7.6.2. By Application
    • 7.6.3. By Country
      • 7.6.3.1. China
        • 7.6.3.1.1. Market Trends and Opportunities
        • 7.6.3.1.2. Growth Prospects
      • 7.6.3.2. Japan
        • 7.6.3.2.1. Market Trends and Opportunities
        • 7.6.3.2.2. Growth Prospects
      • 7.6.3.3. India
        • 7.6.3.3.1. Market Trends and Opportunities
        • 7.6.3.3.2. Growth Prospects
      • 7.6.3.4. South Korea
        • 7.6.3.4.1. Market Trends and Opportunities
        • 7.6.3.4.2. Growth Prospects
      • 7.6.3.5. Australia
        • 7.6.3.5.1. Market Trends and Opportunities
        • 7.6.3.5.2. Growth Prospects
      • 7.6.3.6. Singapore
        • 7.6.3.6.1. Market Trends and Opportunities
        • 7.6.3.6.2. Growth Prospects
      • 7.6.3.7. Indonesia
        • 7.6.3.7.1. Market Trends and Opportunities
        • 7.6.3.7.2. Growth Prospects
      • 7.6.3.8. Others
        • 7.6.3.8.1. Market Trends and Opportunities
        • 7.6.3.8.2. Growth Prospects

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Entropik Tech
  • 9.2. Google Inc.
  • 9.3. IBM Corporation
  • 9.4. Amazon Inc.
  • 9.5. Elokence
  • 9.6. Hopelab
  • 9.7. Emotibot (Zhujian Intelligent Technology Co., Ltd.)
  • 9.8. Affectiva