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市场调查报告书
商品编码
1456936

情感人工智慧市场－2024年至2029年预测

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个工作天内

价格
简介目录

情感人工智慧市场预计将以 13.19% 的复合年增长率成长，从 2022 年的 294.12 亿美元增加到 2029 年的 700.33 亿美元。

情感人工智慧是指利用软体应用程式和人类智慧来分析和解释使用者的情感。它可以破解脸部动作、分析声音调变并检测身体动作以深入了解您的情绪。 AI技术的软体和功能的技术进步导致了这项功能在AI市场的采用。情感人工智慧可以大大帮助企业了解使用者及其偏好。接收情感回馈的能力有助于公司改进产品以满足使用者需求。随着各领域对情感人工智慧的需求不断增加，情感人工智慧市场预计将扩大。

市场驱动力

  • 增加对聊天机器人的投资正在推动市场成长。

全球主要企业都在投资开发成功的人工智慧辅助对话聊天机器人，以产生更高的收益和报酬率。例如，苹果正在添加和增强其语音援助聊天机器人 Siri 的功能，以便为客户提供更好的体验。消费者对创新聊天机器人的兴趣日益浓厚，促使企业投资并探索新的聊天机器人产品。透过在人工智慧辅助聊天机器人中采用情感人工智慧，您可以更了解使用者所经历的情绪，并提高聊天机器人的整体功能和效能。因此，情感AI在聊天机器人设计中的运用将是推动情感AI市场开拓的关键因素。

  • 教育机构采用情感人工智慧正在对市场成长产生正面影响。

在学校和课堂活动中采用情感人工智慧，为了解教学环境和课堂上幼儿的情感健康提供了机会。例如，Find Solutions AI 正在与香港的一所学校合作，透过分析脸部肌肉运动来解读小学生情绪的负面和正面变化。这使得教师和学校可以检查学生是否在课堂上集中註意力并理解课程内容。因此，考虑到推动情绪人工智慧软体需求的关键因素，可以预测情绪人工智慧市场将在预测期内见证市场扩张。

预计北美地区将出现显着成长

北美在情感人工智慧市场中占有重要份额，并且在预测期内占有重要份额，因为北美领先的科技公司正在积极投资于包括情感人工智慧在内的所有领域的人工智慧软体的创新新开发。 。谷歌、IBM、微软和苹果等公司不断努力改进其产品系列併更好地服务客户。为了改善客户体验，他们正在将人工智慧软体扩展到会话聊天机器人和情绪检测领域。这些发展应用于客户服务、对话式聊天机器人和游戏领域。因此，考虑到北美对情感人工智慧的高投资以及多个细分领域对人工智慧的需求，预计北美人工智慧市场在预测期内将出现显着扩张。

市场挑战

  • 人类情感的复杂性和个体差异可能会限制情感AI市场的发展。

情感人工智慧软体产生偏见和不准确情感的风险很高。情绪人工智慧软体分析您的肢体语言、脸部表情和言语，以了解您的情绪状态。除此之外，情感AI应用只能模仿情感，不具备自己产生情感的能力。拥有情绪可以让人类更理解其他人所感受到的情绪。因此，情绪AI有时会侦测到错误的情绪，通常无法使用自己的情绪与客户互动。随着人工智慧技术的进一步研发和进步，可能会在很大程度上克服这些限制，但在这种发展发生之前，情感人工智慧市场可能会面临一些客户群的阻力和怀疑。

主要进展：

  • 2023 年 7 月：安通林推出了GENIUS计划，旨在开发人工智慧，利用即时感测透过与生物特征参数进行比较来确定情绪、认知状态和心情。
  • 2023年1月，针对导师细分市场的对话式情绪AI公司Cogito在其情绪AI软体中加入了转录功能，并引入了新功能来提高其情绪AI能力。
  • 2022 年 7 月，印度情感人工智慧新兴企业Lightbulb Ai 获得 150 万美元的额外投资，用于扩展资料集并增强其机器学习演算法。
  • 2021 年 6 月，瑞典人工智慧技术公司 Smart Eye 收购了情绪人​​工智慧公司 Affectiva，该公司的程式可以在 1.3 秒内侦测语音笔记中的愤怒情绪。

目录

第一章 简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章情感人工智慧市场：按发展划分

  • 介绍
  • 云
  • 本地

第六章情感人工智慧市场：依应用分类

  • 介绍
  • 车
  • 家用电器
  • 客户服务
  • 游戏
  • 医疗保健
  • 其他的

第七章情感人工智慧市场：按地区

  • 介绍
  • 北美洲
  • 南美洲
  • 欧洲
  • 中东/非洲
  • 亚太地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • Entropik Tech
  • Google Inc.
  • IBM Corporation
  • Amazon Inc.
  • Elokence
  • Hopelab
  • Emotibot（Zhujian Intelligent Technology Co., Ltd.）
  • Affectiva
简介目录
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