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市场调查报告书

商品编码

1616054

情绪运算市场机会、成长动力、产业趋势分析与预测 2024 - 2032

Affective Computing Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年09月16日 | 出版商:

Global Market Insights Inc. | 英文 250 Pages | 商品交期: 2-3个工作天内

价格

简介目录

全球情感运算市场到2023 年价值将达到620 亿美元，预计从2024 年到2032 年将以25% 的复合年增长率成长。体验的需求不断增长推动的。随着人们寻求更量身定制的交互，情感计算技术在利用情感资料客製化服务方面发挥关键作用。这些系统透过适应个人情绪来增强使用者参与度，使体验更加相关和有意义。市场成长的一个重要动力是人们对情感人工智慧的兴趣日益浓厚，这涉及开发能够解释和回应人类情感的系统。

对于那些希望透过聊天机器人和虚拟助理提供更具同理心的互动来改善客户服务的企业来说，情感人工智慧已经变得至关重要。这些技术旨在捕捉情绪线索，提供更个人化和有效的回应。透过情感人工智慧增强用户体验的重点预计将为情感运算市场的扩张做出重大贡献。就组件而言，市场分为硬体、软体和服务。

软体领域正在迅速发展，到 2023 年将占据超过 45% 的市场。在人工智慧和机器学习进步的推动下，软体在分析面部表情、语气和生理讯号等输入以解释情绪状态方面发挥关键作用。随着企业寻求创造更具吸引力和同理心的技术，对复杂软体演算法的需求持续成长，使该细分市场成为关键成长领域。该市场还按部署模型进行分类，提供本地和基于云端的解决方案选项。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	620 亿美元
预测值	4,466 亿美元
复合年增长率	25%

云端部署因其能够即时处理情感资料、同时提供可扩展性和可访问性而受到关注。企业可以根据需求轻鬆调整资源并无缝整合更新，从而从云端基础设施中受益。这种灵活性支持情感计算技术在各行业的更广泛采用。到2023年，北美将占据全球情感运算市场约30%的份额，主导全球情感运算市场。此外，对心理健康个人化体验和应用的需求也有助于该地区的市场领导地位。

产业生态系统分析
供应商格局
- 硬体提供者
- 软体供应商
- 服务提供者
- 科技
- 终端用户
利润率分析
技术与创新格局
案例研究
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 对个人化体验的需求不断增长
  - 人们对情感人工智慧的兴趣日益浓厚
  - 物联网设备的采用不断增加
  - 人机互动的扩展
- 产业陷阱与挑战
  - 隐私和道德问题
  - 技术挑战
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021-2032 年

主要趋势
硬体
软体
- 分析软体
- 企业软体
- 人脸辨识
- 手势识别
- 语音辨识
服务

第 6 章：市场估计与预测：按部署模型，2021-2032 年

主要趋势
本地
云

第 7 章：市场估计与预测：按技术划分，2021-2032 年

主要趋势
触控式
非接触式

第 8 章：市场估计与预测：按最终用户，2021-2032 年

主要趋势
卫生保健
汽车
消费性电子产品
零售与电子商务
教育
游戏和娱乐
行销和广告
其他的

第 9 章：市场估计与预测：按地区，2021-2032 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 荷兰
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 沙乌地阿拉伯
- 南非
- MEA 的其余部分

第 10 章：公司简介

Affectiva
Amazon, Inc
Cognitec Systems
Emotibot Technologies Limited
EmoVu
EyeTech Digital Systems
Google LLC
Hanson Robotics
IBM Corporation
Intel Corporation
Kairos
Kairos AR Inc.
Microsoft Corporation
NeuroSky
Nviso
Qualcomm
Realeyes
Samsung Electronics
Sensory Inc.
Xilinx Inc.

简介目录

Product Code: 11446

The Global Affective Computing Market, valued at USD 62 billion in 2023, is projected to grow at a CAGR of 25% from 2024 to 2032. This rapid expansion is largely fueled by the increasing demand for personalized experiences across both consumer and business platforms. As people seek more tailored interactions, affective computing technologies play a critical role in customizing services by utilizing emotional data. These systems enhance user engagement by adapting to individual emotions, making experiences more relevant and meaningful. A significant driver of market growth is the rising interest in emotional AI, which involves the development of systems that can interpret and respond to human emotions.

Emotional AI has become crucial for businesses aiming to improve customer service by offering more empathetic interactions through chatbots and virtual assistants. These technologies are designed to pick up on emotional cues, delivering more personalized and effective responses. The focus on enhancing user experience through emotional AI is expected to contribute significantly to the expansion of the affective computing market. In terms of components, the market is segmented into hardware, software, and services.

The software segment, which accounted for over 45% of the market share in 2023, is evolving rapidly. Driven by advancements in artificial intelligence and machine learning, software plays a pivotal role in analyzing inputs like facial expressions, vocal tones, and physiological signals to interpret emotional states. As businesses seek to create more engaging and empathetic technology, the demand for sophisticated software algorithms continues to rise, making this segment a key growth area. The market is also categorized by deployment models, with options for on-premises and cloud-based solutions.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$62 Billion
Forecast Value	$446.6 Billion
CAGR	25%

Cloud deployment is gaining traction due to its ability to offer real-time processing of emotional data while providing scalability and accessibility. Businesses benefit from cloud infrastructure by easily adjusting resources according to demand and integrating updates seamlessly. This flexibility supports the wider adoption of affective computing technologies across industries. North America, holding around 30% of the market share in 2023, dominates the global affective computing market.The region's strong technological infrastructure and substantial investments in AI and machine learning drive the rapid deployment of these solutions. Additionally, the demand for personalized experiences and applications for mental health contributes to the region's market leadership.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates & calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope & definition

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Hardware providers
- 3.2.2 Software providers
- 3.2.3 Service providers
- 3.2.4 Technology
- 3.2.5 End-user
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Case study
3.6 Patent analysis
3.7 Key news and initiatives
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Increasing demand for personalized experiences
  - 3.9.1.2 Rising interest in emotional AI
  - 3.9.1.3 Increasing adoption of IoT devices
  - 3.9.1.4 Expansion of human-computer interaction
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 Privacy and ethical concerns
  - 3.9.2.2 Technical challenges
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021-2032 ($Bn)

5.1 Key trends
5.2 Hardware
5.3 Software
- 5.3.1 Analytics software
- 5.3.2 Enterprise software
- 5.3.3 Facial recognition
- 5.3.4 Gesture recognition
- 5.3.5 Speech recognition
5.4 Services

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021-2032 ($Bn)

6.1 Key trends
6.2 On-premises
6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Technology, 2021-2032 ($Bn)

7.1 Key trends
7.2 Touch-based
7.3 Touchless

Chapter 8 Market Estimates & Forecast, By End-user, 2021-2032 ($Bn)

8.1 Key trends
8.2 Healthcare
8.3 Automotive
8.4 Consumer electronics
8.5 Retail & e-commerce
8.6 Education
8.7 Gaming and entertainment
8.8 Marketing and advertising
8.9 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021-2032 ($Bn)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Netherlands
- 9.3.8 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Southeast Asia
- 9.4.7 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.5.4 Rest of LATAM
9.6 MEA
- 9.6.1 UAE
- 9.6.2 Saudi Arabia
- 9.6.3 South Africa
- 9.6.4 Rest of MEA