封面
市场调查报告书
商品编码
1905134

日本情绪检测与识别市场报告(按组件、技术、应用、最终用户和地区划分,2026-2034 年)

Japan Emotion Detection and Recognition Market Report by Component, Technology, Application, End User, and Region 2026-2034

出版日期: | 出版商: IMARC | 英文 120 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2025年,日本情绪侦测与辨识市场规模达36亿美元。展望未来, IMARC Group预计到2034年,该市场规模将达到137亿美元,2026年至2034年间的复合年增长率(CAGR)为16.09%。企业对了解客户情绪和偏好的需求日益增长,是推动市场成长的主要因素。

本报告解答的关键问题:

  • 日本情绪检测与辨识市场目前的表现如何?未来几年又将如何发展?
  • 新冠疫情对日本情绪侦测与辨识市场产生了哪些影响?
  • 日本情绪侦测与辨识市场依组件分類的组成是怎样的?
  • 日本情绪检测与辨识市场依技术分類的组成是怎样的?
  • 日本情绪侦测与辨识市场依应用领域分類的组成是怎样的?
  • 日本情绪侦测与辨识市场依最终使用者分類的组成是怎样的?
  • 日本情绪检测与辨识市场价值链的各个阶段有哪些?
  • 日本情绪检测与辨识的关键驱动因素与挑战是什么?
  • 日本情绪检测与辨识市场的结构是怎样的?主要参与者有哪些?
  • 日本情绪侦测与辨识市场的竞争程度如何?

目录

第一章:序言

第二章:范围与方法

  • 研究目标
  • 利害关係人
  • 数据来源
  • 市场估算
  • 预测方法

第三章:执行概要

第四章:日本情绪侦测与辨识市场-简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章:日本情绪侦测与辨识市场概况

  • 历史及当前市场趋势(2020-2025)
  • 市场预测(2026-2034)

第六章:日本情绪侦测与辨识市场-依组件细分

  • 软体工具
  • 服务

第七章:日本情绪侦测与辨识市场-依技术划分

  • 模式识别网络
  • 机器学习
  • 自然语言处理
  • 生物感测器技术
  • 特征提取和三维建模
  • 其他的

第八章:日本情绪侦测与辨识市场-依应用领域划分

  • 执法、监视和监控
  • 行销与广告
  • 媒体与娱乐
  • 其他的

第九章:日本情绪侦测与辨识市场-依最终用户划分

  • 政府
  • 卫生保健
  • 零售
  • 娱乐
  • 运输
  • 国防与安全局
  • 教育
  • 其他的

第十章:日本情绪侦测与辨识市场-依地区划分

  • 关东地区
  • 关西/近畿地区
  • 中部/中部地区
  • 九州·冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

第十一章:日本情绪侦测与辨识市场-竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争格局分析
  • 公司评估象限

第十二章:关键参与者简介

第十三章:日本情绪侦测与辨识市场-产业分析

  • 驱动因素、限制因素和机会
  • 波特五力分析
  • 价值链分析

第十四章:附录

简介目录
Product Code: SR112026A18289

Japan emotion detection and recognition market size reached USD 3.6 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 13.7 Billion by 2034, exhibiting a growth rate (CAGR) of 16.09% during 2026-2034. The inflating need among businesses for understanding customer emotions and preferences is primarily driving the market growth.

Emotion detection and recognition refer to the process of identifying and understanding human emotions through the analysis of various cues, such as facial expressions, voice tone, body language, and physiological signals. This technology leverages artificial intelligence, machine learning, and deep learning algorithms to interpret and categorize emotions accurately. By detecting emotions like happiness, sadness, anger, fear, and surprise, it aims to provide valuable insights into an individual's emotional state and psychological well-being. Emotion recognition has diverse applications, ranging from market research and customer feedback analysis to mental health monitoring and human-computer interaction. It plays a significant role in improving human-machine communication, creating empathetic virtual assistants, and enhancing user experiences in fields like healthcare, education, and entertainment.

Japan Emotion Detection and Recognition Market Trends:

The Japan emotion detection and recognition market are experiencing significant growth driven by several key factors. One of the primary drivers is the increasing interest in emotional intelligence applications across various industries. Emotion detection technology finds widespread use in fields like retail, healthcare, customer service, and entertainment, where understanding customer emotions and preferences is crucial for enhancing user experiences and making informed business decisions. Moreover, the COVID-19 pandemic has accelerated the adoption of emotion recognition technology in Japan. With the limitations on in-person interactions, there is a growing need for virtual platforms and digital solutions that can gauge emotions, ensuring better engagement during online meetings, education, and telehealth consultations. The Japanese government's commitment to fostering innovation and technological advancements further fuels the market. Initiatives promoting research and development in AI and machine learning have paved the way for more sophisticated emotion recognition systems, making them more accurate and efficient. The market's growth is also propelled by the integration of emotion detection in wearable devices and smartphones, enabling users to monitor their emotional well-being and offering potential applications in mental health support. As the technology continues to evolve and gain acceptance, the Japan emotion detection and recognition market are expected to witness substantial expansion, with opportunities spanning various sectors and applications.

Japan Emotion Detection and Recognition Market Segmentation:

Component Insights:

  • Software Tools
    • Facial Expression Recognition
    • Bio-Sensing Software Tools and Apps
    • Speech and Voice Recognition
  • Services
    • Storage and Maintenance
    • Consulting and Integration

Technology Insights:

  • Pattern Recognition Network
  • Machine Learning
  • Natural Language Processing
  • Bio-Sensors Technology
  • Feature Extraction and 3D Modelling
  • Others

Application Insights:

  • Law Enforcement, Surveillance and Monitoring
  • Marketing and Advertising
  • Media and Entertainment
  • Others

End User Insights:

  • Government
  • Healthcare
  • Retail
  • Entertainment
  • Transportation
  • Defence and Security Agency
  • Education
  • Others

Regional Insights:

  • Kanto Region
  • Kansai/Kinki Region
  • Central/ Chubu Region
  • Kyushu-Okinawa Region
  • Tohoku Region
  • Chugoku Region
  • Hokkaido Region
  • Shikoku Region
  • The report has also provided a comprehensive analysis of all the major regional markets, which include Kanto Region, Kansai/Kinki Region, Central/ Chubu Region, Kyushu-Okinawa Region, Tohoku Region, Chugoku Region, Hokkaido Region, and Shikoku Region.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Key Questions Answered in This Report:

  • How has the Japan emotion detection and recognition market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan emotion detection and recognition market?
  • What is the breakup of the Japan emotion detection and recognition market on the basis of component?
  • What is the breakup of the Japan emotion detection and recognition market on the basis of technology?
  • What is the breakup of the Japan emotion detection and recognition market on the basis of application?
  • What is the breakup of the Japan emotion detection and recognition market on the basis of end user?
  • What are the various stages in the value chain of the Japan emotion detection and recognition market?
  • What are the key driving factors and challenges in the Japan emotion detection and recognition?
  • What is the structure of the Japan emotion detection and recognition market and who are the key players?
  • What is the degree of competition in the Japan emotion detection and recognition market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Japan Emotion Detection and Recognition Market - Introduction

  • 4.1 Overview
  • 4.2 Market Dynamics
  • 4.3 Industry Trends
  • 4.4 Competitive Intelligence

5 Japan Emotion Detection and Recognition Market Landscape

  • 5.1 Historical and Current Market Trends (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Emotion Detection and Recognition Market - Breakup by Component

  • 6.1 Software Tools
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Segmentation
      • 6.1.3.1 Facial Expression Recognition
      • 6.1.3.2 Bio-Sensing Software Tools and Apps
      • 6.1.3.3 Speech and Voice Recognition
    • 6.1.4 Market Forecast (2026-2034)
  • 6.2 Services
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Segmentation
      • 6.2.3.1 Storage and Maintenance
      • 6.2.3.2 Consulting and Integration
    • 6.2.4 Market Forecast (2026-2034)

7 Japan Emotion Detection and Recognition Market - Breakup by Technology

  • 7.1 Pattern Recognition Network
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 Machine Learning
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)
  • 7.3 Natural Language Processing
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2020-2025)
    • 7.3.3 Market Forecast (2026-2034)
  • 7.4 Bio-Sensors Technology
    • 7.4.1 Overview
    • 7.4.2 Historical and Current Market Trends (2020-2025)
    • 7.4.3 Market Forecast (2026-2034)
  • 7.5 Feature Extraction and 3D Modelling
    • 7.5.1 Overview
    • 7.5.2 Historical and Current Market Trends (2020-2025)
    • 7.5.3 Market Forecast (2026-2034)
  • 7.6 Others
    • 7.6.1 Historical and Current Market Trends (2020-2025)
    • 7.6.2 Market Forecast (2026-2034)

8 Japan Emotion Detection and Recognition Market - Breakup by Application

  • 8.1 Law Enforcement, Surveillance and Monitoring
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 Marketing and Advertising
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)
  • 8.3 Media and Entertainment
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2020-2025)
    • 8.3.3 Market Forecast (2026-2034)
  • 8.4 Others
    • 8.4.1 Historical and Current Market Trends (2020-2025)
    • 8.4.2 Market Forecast (2026-2034)

9 Japan Emotion Detection and Recognition Market - Breakup by End User

  • 9.1 Government
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2020-2025)
    • 9.1.3 Market Forecast (2026-2034)
  • 9.2 Healthcare
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Forecast (2026-2034)
  • 9.3 Retail
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2020-2025)
    • 9.3.3 Market Forecast (2026-2034)
  • 9.4 Entertainment
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2020-2025)
    • 9.4.3 Market Forecast (2026-2034)
  • 9.5 Transportation
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2020-2025)
    • 9.5.3 Market Forecast (2026-2034)
  • 9.6 Defence and Security Agency
    • 9.6.1 Overview
    • 9.6.2 Historical and Current Market Trends (2020-2025)
    • 9.6.3 Market Forecast (2026-2034)
  • 9.7 Education
    • 9.7.1 Overview
    • 9.7.2 Historical and Current Market Trends (2020-2025)
    • 9.7.3 Market Forecast (2026-2034)
  • 9.8 Others
    • 9.8.1 Historical and Current Market Trends (2020-2025)
    • 9.8.2 Market Forecast (2026-2034)

10 Japan Emotion Detection and Recognition Market - Breakup by Region

  • 10.1 Kanto Region
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2020-2025)
    • 10.1.3 Market Breakup by Component
    • 10.1.4 Market Breakup by Technology
    • 10.1.5 Market Breakup by Application
    • 10.1.6 Market Breakup by End User
    • 10.1.7 Key Players
    • 10.1.8 Market Forecast (2026-2034)
  • 10.2 Kansai/Kinki Region
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2020-2025)
    • 10.2.3 Market Breakup by Component
    • 10.2.4 Market Breakup by Technology
    • 10.2.5 Market Breakup by Application
    • 10.2.6 Market Breakup by End User
    • 10.2.7 Key Players
    • 10.2.8 Market Forecast (2026-2034)
  • 10.3 Central/ Chubu Region
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2020-2025)
    • 10.3.3 Market Breakup by Component
    • 10.3.4 Market Breakup by Technology
    • 10.3.5 Market Breakup by Application
    • 10.3.6 Market Breakup by End User
    • 10.3.7 Key Players
    • 10.3.8 Market Forecast (2026-2034)
  • 10.4 Kyushu-Okinawa Region
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2020-2025)
    • 10.4.3 Market Breakup by Component
    • 10.4.4 Market Breakup by Technology
    • 10.4.5 Market Breakup by Application
    • 10.4.6 Market Breakup by End User
    • 10.4.7 Key Players
    • 10.4.8 Market Forecast (2026-2034)
  • 10.5 Tohoku Region
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2020-2025)
    • 10.5.3 Market Breakup by Component
    • 10.5.4 Market Breakup by Technology
    • 10.5.5 Market Breakup by Application
    • 10.5.6 Market Breakup by End User
    • 10.5.7 Key Players
    • 10.5.8 Market Forecast (2026-2034)
  • 10.6 Chugoku Region
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2020-2025)
    • 10.6.3 Market Breakup by Component
    • 10.6.4 Market Breakup by Technology
    • 10.6.5 Market Breakup by Application
    • 10.6.6 Market Breakup by End User
    • 10.6.7 Key Players
    • 10.6.8 Market Forecast (2026-2034)
  • 10.7 Hokkaido Region
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2020-2025)
    • 10.7.3 Market Breakup by Component
    • 10.7.4 Market Breakup by Technology
    • 10.7.5 Market Breakup by Application
    • 10.7.6 Market Breakup by End User
    • 10.7.7 Key Players
    • 10.7.8 Market Forecast (2026-2034)
  • 10.8 Shikoku Region
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2020-2025)
    • 10.8.3 Market Breakup by Component
    • 10.8.4 Market Breakup by Technology
    • 10.8.5 Market Breakup by Application
    • 10.8.6 Market Breakup by End User
    • 10.8.7 Key Players
    • 10.8.8 Market Forecast (2026-2034)

11 Japan Emotion Detection and Recognition Market - Competitive Landscape

  • 11.1 Overview
  • 11.2 Market Structure
  • 11.3 Market Player Positioning
  • 11.4 Top Winning Strategies
  • 11.5 Competitive Dashboard
  • 11.6 Company Evaluation Quadrant

12 Profiles of Key Players

  • 12.1 Company A
    • 12.1.1 Business Overview
    • 12.1.2 Product Portfolio
    • 12.1.3 Business Strategies
    • 12.1.4 SWOT Analysis
    • 12.1.5 Major News and Events
  • 12.2 Company B
    • 12.2.1 Business Overview
    • 12.2.2 Product Portfolio
    • 12.2.3 Business Strategies
    • 12.2.4 SWOT Analysis
    • 12.2.5 Major News and Events
  • 12.3 Company C
    • 12.3.1 Business Overview
    • 12.3.2 Product Portfolio
    • 12.3.3 Business Strategies
    • 12.3.4 SWOT Analysis
    • 12.3.5 Major News and Events
  • 12.4 Company D
    • 12.4.1 Business Overview
    • 12.4.2 Product Portfolio
    • 12.4.3 Business Strategies
    • 12.4.4 SWOT Analysis
    • 12.4.5 Major News and Events
  • 12.5 Company E
    • 12.5.1 Business Overview
    • 12.5.2 Product Portfolio
    • 12.5.3 Business Strategies
    • 12.5.4 SWOT Analysis
    • 12.5.5 Major News and Events

13 Japan Emotion Detection and Recognition Market - Industry Analysis

  • 13.1 Drivers, Restraints, and Opportunities
    • 13.1.1 Overview
    • 13.1.2 Drivers
    • 13.1.3 Restraints
    • 13.1.4 Opportunities
  • 13.2 Porters Five Forces Analysis
    • 13.2.1 Overview
    • 13.2.2 Bargaining Power of Buyers
    • 13.2.3 Bargaining Power of Suppliers
    • 13.2.4 Degree of Competition
    • 13.2.5 Threat of New Entrants
    • 13.2.6 Threat of Substitutes
  • 13.3 Value Chain Analysis

14 Appendix