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市场调查报告书
商品编码
1878285

情绪侦测与辨识市场－2025-2030年预测

Emotion Detection and Recognition Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 160 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计到 2025 年，情绪侦测和识别市场规模将达到 387.4 亿美元，到 2030 年将达到 738.78 亿美元，复合年增长率为 13.78%。

受用于识别和解读人类情绪状态的技术开发和应用推动，情绪检测与识别 (EDR) 市场正经历显着增长。这些系统采用多面向方法来侦测情绪，结合了脸部表情分析、生理讯号监测、语音分析和自然语言处理等辨识技术。未来几年，EDR 功能与消费性电子产品的日益整合将成为推动市场显着成长的关键因素。

EDR市场的主要驱动力在于其在多元化终端应用领域的不断扩展。这项技术在穿戴式装置中正发挥着越来越效用，这些装置能够追踪心率、皮肤温度和血压等生物特征数据。这些生理资讯能够提供有关使用者情绪和情绪状态的重要线索。此外，物联网(IoT)设备的广泛发展和普及也加速了市场扩张。不断壮大的智慧型设备生态系统为EDR系统的整合创造了有利环境。这一趋势的驱动力源于消费者对使用智慧穿戴装置监测日常活动的兴趣日益浓厚，例如在健身房和瑜伽中心等场所。创新产品的推出，以及消费者对能够提供个人化洞察的技术的日益关注，都在刺激着市场需求，随着新的、多样化的应用案例不断涌现，市场正呈现出成长的迹象。

从地理角度来看，美国是情绪检测和识别技术的重要且持续成长的市场。这一增长得益于多种因素，包括人工智慧（AI）技术的快速发展。同时，消费者对智慧型手錶和虚拟实境头戴式装置等先进穿戴式装置的接受度不断提高，这些装置配备了感测器和追踪器，有助于情绪侦测。这种环境进一步推动了对语音分析、脸部表情辨识和心理讯号解读等底层技术的需求。

除了消费性电子领域，美国市场也受到商业领域不断变化的需求的驱动。市场对能够分析客户情绪和情感的先进行销和广告工具的需求日益增长，这些工具能够帮助行销人员打造高度个人化的宣传活动，优化广告效率，并提升整体客户体验。该地区的竞争格局充满活力，市场参与者之间纷纷建立策略联盟，寻求开发全面的情感分析解决方案。此外，专注于情感识别软体的新兴人工智慧技术Start-Ups的涌现，为市场多元化和扩张提供了广泛的机会，并有助于建立更广泛、更完善的情感人工智慧解决方案组合。

EDR技术的持续开发和完善是支撑市场发展势头的核心因素。面向製造商的先进软体开发工具包和AI应用目录的发布，凸显了这一进展。这些工具旨在协助创建尖端的AI人机互动介面，其中整合了诸如眼动追踪和精细脸部动作单元侦测等功能。这些进步对于拓展EDR技术的实际应用范围至关重要，并有望加速其在众多终端用户产业的应用，进而维持市场成长动能。

本报告的主要优势：

  • 深入分析：提供对主要和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、行业垂直领域和其他细分市场。
  • 竞争格局：了解全球主要参与者的策略倡议，并了解透过正确的策略实现市场渗透的潜力。
  • 市场驱动因素与未来趋势：探讨影响市场的动态因素和关键趋势及其对未来市场发展的影响。
  • 可操作的建议：利用这些见解，在动态环境中做出策略决策，并开拓新的商机和收入来源。
  • 受众广泛：适用于Start-Ups、研究机构、顾问公司、中小企业和大型企业，且经济实惠。

公司如何使用我们的报告范例

产业与市场分析、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法规结构及影响、新产品开发、竞争情报

报告范围：

  • 2022年至2024年的历史数据和2025年至2030年的预测数据
  • 成长机会、挑战、供应链前景、法规结构与趋势分析
  • 竞争定位、策略和市场占有率分析
  • 按业务板块和地区分類的收入成长和预测评估，包括国家/地区
  • 公司概况（策略、产品、财务资讯、关键发展等）

情绪检测与识别市场区隔及分析如下：

  • 按类型分類的情绪侦测与识别市场
  • 脸部辨识
  • 手势姿态辨识
  • 语音辨识
  • 按应用分類的情绪检测与识别市场
  • 游戏
  • 虚拟助手
  • 监测
  • 招募
  • 其他的
  • 按技术分類的情绪检测与识别市场
  • 生物感测器
  • 自然语言处理
  • 机器学习
  • 按最终用户分類的情绪检测与识别市场
  • 车
  • 消费性电子产品
  • 政府机构
  • 卫生保健
  • 教育
  • 其他的
  • 按地区分類的情绪侦测与识别市场
  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 其他的
  • 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 印尼
  • 泰国
  • 其他的

目录

第一章执行摘要

第二章 市场概览

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场区隔

第三章 商业情境

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策与法规
  • 策略建议

第四章 技术展望

第五章 依类型分類的情绪侦测与辨识市场

  • 介绍
  • 脸部辨识
  • 手势姿态辨识
  • 语音辨识

第六章 依应用分類的情绪侦测与辨识市场

  • 介绍
  • 游戏
  • 虚拟助手
  • 监测
  • 招募
  • 其他的

第七章 依技术分類的情绪侦测与辨识市场

  • 介绍
  • 生物感测器
  • 自然语言处理
  • 机器学习

第八章 依最终使用者分類的情绪侦测与辨识市场

  • 介绍
  • 车
  • 消费性电子产品
  • 政府机构
  • 卫生保健
  • 教育
  • 其他的

9. 按地区分類的情绪侦测与辨识市场

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他的
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 印尼
    • 泰国
    • 其他的

第十章 竞争格局与分析

  • 主要企业和策略分析
  • 市占率分析
  • 合併、收购、协议和合作
  • 竞争对手仪錶板

第十一章 公司简介

  • Smart Eye
  • Apple Inc
  • Microsoft Corporation
  • Noldus Information Technology BV
  • MorphCast
  • AritaWeb
  • NVISO SA
  • Paravision
  • audEERING GmbH
  • Kairos AR, Inc.

第十二章附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要收益
  • 调查方法
  • 简称
简介目录
Product Code: KSI061614872

The emotion detection and recognition market is projected to expand at a 13.78% CAGR, attaining USD 73.878 billion by 2030 from USD 38.740 billion in 2025.

The Emotion Detection and Recognition (EDR) market is experiencing significant expansion, driven by the development and implementation of technologies capable of identifying and interpreting human emotional states. These systems utilize a multifaceted approach, drawing upon recognition techniques such as facial expression analysis, physiological signal monitoring, speech analysis, and natural language processing to detect emotions. The increasing integration of EDR capabilities into consumer electronic products is a key factor underpinning the market's anticipated substantial growth in the coming years.

A primary driver for the EDR market is the proliferation of its applications across diverse end-use sectors. The technology is finding growing utility in wearable technology, where devices track biometric data such as heart rate, skin temperature, and blood pressure. This physiological information provides valuable clues about a user's mood and emotional state. The market expansion is further accelerated by the broader advancement and adoption of Internet of Things (IoT) devices. The growing ecosystem of smart devices creates a fertile environment for the incorporation of EDR systems. This trend is propelled by increasing consumer interest in using smart wearables to monitor daily activities in settings like gyms and yoga centers. The convergence of innovative product launches and rising consumer engagement with technology that offers personal insights is fueling demand, with the market poised for growth as new and diverse use cases continue to emerge.

From a geographical standpoint, the United States represents a significant and steadily growing market for emotion detection and recognition. This growth is underpinned by several factors, including the rapid advancement of Artificial Intelligence (AI) technology. This technological progress is coupled with the increasing consumer adoption of sophisticated wearable devices, such as smartwatches and virtual reality headsets, which are increasingly equipped with sensors and trackers capable of aiding in emotion detection. This environment fosters greater demand for the underlying technologies, including speech analysis, facial expression recognition, and psychological signal interpretation.

Beyond consumer electronics, the market in the United States is also driven by the evolving needs of the commercial sector. There is an increasing demand for advanced marketing and advertising tools that can analyze customer emotions and sentiments. This capability allows marketers to create highly personalized campaigns, optimizing advertising efficiency and enhancing the overall customer experience. The competitive landscape in the region is dynamic, characterized by key strategic partnerships among market players aimed at developing comprehensive emotion analysis solutions. Furthermore, the emergence of new AI technology startups focused specifically on emotion recognition software presents lucrative opportunities for market diversification and expansion, contributing to a broader and more sophisticated portfolio of emotional AI solutions.

The ongoing development and refinement of EDR technologies are central to the market's momentum. The launch of sophisticated software development kits and AI application catalogs for manufacturers is a testament to this progression. These tools are designed to enable the creation of state-of-the-art, AI-enabled human-machine interfaces, incorporating capabilities such as gaze tracking and detailed facial action unit detection. Such advancements are critical for expanding the practical applications of EDR technology and are expected to accelerate its adoption across a widening range of end-user industries, thereby sustaining the market's growth trajectory.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

The Emotion Detection and Recognition Market is segmented and analyzed as:

  • EMOTION DETECTION AND RECOGNITION MARKET BY TYPE
  • Facial Recognition
  • Gesture Recognition
  • Speech Recognition
  • EMOTION DETECTION AND RECOGNITION MARKET BY APPLICATION
  • Gaming
  • Virtual Assistance
  • Surveillance
  • Recruitment
  • Others
  • EMOTION DETECTION AND RECOGNITION MARKET BY TECHOLOGY
  • Biosensors
  • Natural Language Processing
  • Machine Learning
  • EMOTION DETECTION AND RECOGNITION MARKET BY END-USER
  • Automotive
  • Consumer Electronics
  • Government
  • Healthcare
  • Education
  • Others
  • EMOTION DETECTION AND RECOGNITION MARKET BY GEOGRAPHY
  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. EMOTION DETECTION AND RECOGNITION MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Facial Recognition
  • 5.3. Gesture Recognition
  • 5.4. Speech Recognition

6. EMOTION DETECTION AND RECOGNITION MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Gaming
  • 6.3. Virtual Assistance
  • 6.4. Surveillance
  • 6.5. Recruitment
  • 6.6. Others

7. EMOTION DETECTION AND RECOGNITION MARKET BY TECHOLOGY

  • 7.1. Introduction
  • 7.2. Biosensors
  • 7.3. Natural Language Processing
  • 7.4. Machine Learning

8. EMOTION DETECTION AND RECOGNITION MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Automotive
  • 8.3. Consumer Electronics
  • 8.4. Government
  • 8.5. Healthcare
  • 8.6. Education
  • 8.7. Others

9. EMOTION DETECTION AND RECOGNITION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. USA
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. Germany
    • 9.4.2. France
    • 9.4.3. United Kingdom
    • 9.4.4. Spain
    • 9.4.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. China
    • 9.6.2. India
    • 9.6.3. Japan
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Thailand
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Smart Eye
  • 11.2. Apple Inc
  • 11.3. Microsoft Corporation
  • 11.4. Noldus Information Technology BV
  • 11.5. MorphCast
  • 11.6. AritaWeb
  • 11.7. NVISO SA
  • 11.8. Paravision
  • 11.9. audEERING GmbH
  • 11.10. Kairos AR, Inc.

12. APPENDIX

  • 12.1. Currency
  • 12.2. Assumptions
  • 12.3. Base and Forecast Years Timeline
  • 12.4. Key Benefits for the Stakeholders
  • 12.5. Research Methodology
  • 12.6. Abbreviations