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1746511

2025-2033年日本情緒檢測與識別市場報告（按組件、技術、應用、最終用戶和地區）

Japan Emotion Detection and Recognition Market Report by Component, Technology, Application, End User, and Region 2025-2033

出版日期: 2025年06月02日 | 出版商:

IMARC | 英文 117 Pages | 商品交期: 5-7個工作天內

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簡介目錄

2024年，日本情緒偵測與辨識市場規模達31億美元。展望未來， IMARC Group預計到2033年，該市場規模將達到133億美元，2025-2033年期間的複合年成長率（CAGR）為16.2%。企業對了解客戶情緒和偏好的需求日益成長，是推動市場成長的主要動力。

情緒偵測與辨識是指透過分析各種線索（例如臉部表情、語調、肢體語言和生理訊號）來辨識和理解人類情緒的過程。這項技術利用人工智慧、機器學習和深度學習演算法來準確地解讀和分類情緒。透過檢測快樂、悲傷、憤怒、恐懼和驚訝等情緒，它旨在提供關於個人情緒狀態和心理健康的寶貴見解。情緒辨識的應用範圍廣泛，從市場研究和客戶回饋分析到心理健康監測和人機交互，不一而足。它在改善人機溝通、打造富有同理心的虛擬助理以及提升醫療保健、教育和娛樂等領域的用戶體驗方面發揮著重要作用。

日本情緒檢測與識別市場趨勢：

日本情緒檢測與識別市場正經歷顯著成長，這主要得益於幾個關鍵因素。其中一個主要促進因素是各行各業對情緒智商應用的興趣日益濃厚。情緒偵測技術廣泛應用於零售、醫療保健、客戶服務和娛樂等領域，了解客戶情緒和偏好對於提升使用者體驗和做出明智的商業決策至關重要。此外，新冠疫情加速了日本情緒辨識技術的普及。由於面對面互動受限，市場對能夠衡量情緒的虛擬平台和數位解決方案的需求日益成長，以確保在線上會議、教育和遠距醫療諮詢期間的互動性。日本政府致力於促進創新和技術進步，這進一步推動了市場的發展。推動人工智慧和機器學習研發的措施為更複雜的情緒辨識系統鋪平了道路，使其更加準確、高效。情緒檢測技術與穿戴式裝置和智慧型手機的整合也推動了市場的成長，使用戶能夠監測自己的情緒健康狀況，並在心理健康支援方面提供了潛在的應用。隨著技術的不斷發展和獲得認可，日本情緒檢測和識別市場預計將大幅擴張，機會涵蓋各個行業和應用。

日本情緒檢測與識別市場區隔：

組件洞察：

軟體工具
- 臉部表情辨識
- 生物感測軟體工具和應用程式
- 語音和聲音識別
服務
- 儲存和維護
- 諮詢與整合

技術洞察：

模式識別網路
機器學習
自然語言處理
生物感測器技術
特徵提取和3D建模
其他

應用程式洞察：

執法、監視和監控
行銷和廣告
媒體和娛樂
其他

最終用戶洞察：

政府
衛生保健
零售
娛樂
運輸
國防安全局
教育
其他

競爭格局：

市場研究報告也對競爭格局進行了全面的分析。報告涵蓋了市場結構、關鍵參與者定位、最佳制勝策略、競爭儀錶板和公司評估象限等競爭分析。此外，報告還提供了所有主要公司的詳細資料。

本報告回答的關鍵問題：

日本情緒檢測和識別市場迄今為止表現如何，未來幾年將如何表現？
COVID-19 對日本情緒偵測與辨識市場有何影響？
日本情緒偵測和辨識市場依組成部分的分佈是怎樣的？
日本情緒偵測與辨識市場在技術基礎上的分佈如何？
日本情緒偵測與辨識市場根據應用的分佈是怎樣的？
日本情緒偵測和辨識市場根據最終用戶的分佈是怎樣的？
日本情緒偵測與辨識市場的價值鏈分為哪些階段？
日本情緒檢測和識別的關鍵促進因素和挑戰是什麼？
日本情緒偵測和辨識市場的結構是怎麼樣的？主要參與者是誰？
日本情緒偵測與辨識市場的競爭程度如何？

本報告回答的關鍵問題：

日本情緒檢測和識別市場迄今為止表現如何，未來幾年將如何表現？
COVID-19 對日本情緒偵測與辨識市場有何影響？
日本情緒偵測和辨識市場依組成部分的分佈是怎樣的？
日本情緒偵測與辨識市場在技術基礎上的分佈如何？
日本情緒偵測與辨識市場根據應用的分佈是怎樣的？
日本情緒偵測和辨識市場根據最終用戶的分佈是怎樣的？
日本情緒偵測與辨識市場的價值鏈分為哪些階段？
日本情緒檢測和識別的關鍵促進因素和挑戰是什麼？
日本情緒偵測和辨識市場的結構是怎麼樣的？主要參與者是誰？
日本情緒偵測與辨識市場的競爭程度如何？

Japan emotion detection and recognition market size reached USD 3.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 13.3 Billion by 2033, exhibiting a growth rate (CAGR) of 16.2% during 2025-2033. 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

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?

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 (2019-2024)
5.2 Market Forecast (2025-2033)

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 (2019-2024)
- 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 (2025-2033)
6.2 Services
- 6.2.1 Overview
- 6.2.2 Historical and Current Market Trends (2019-2024)
- 6.2.3 Market Segmentation
  - 6.2.3.1 Storage and Maintenance
  - 6.2.3.2 Consulting and Integration
- 6.2.4 Market Forecast (2025-2033)

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 (2019-2024)
- 7.1.3 Market Forecast (2025-2033)
7.2 Machine Learning
- 7.2.1 Overview
- 7.2.2 Historical and Current Market Trends (2019-2024)
- 7.2.3 Market Forecast (2025-2033)
7.3 Natural Language Processing
- 7.3.1 Overview
- 7.3.2 Historical and Current Market Trends (2019-2024)
- 7.3.3 Market Forecast (2025-2033)
7.4 Bio-Sensors Technology
- 7.4.1 Overview
- 7.4.2 Historical and Current Market Trends (2019-2024)
- 7.4.3 Market Forecast (2025-2033)
7.5 Feature Extraction and 3D Modelling
- 7.5.1 Overview
- 7.5.2 Historical and Current Market Trends (2019-2024)
- 7.5.3 Market Forecast (2025-2033)
7.6 Others
- 7.6.1 Historical and Current Market Trends (2019-2024)
- 7.6.2 Market Forecast (2025-2033)

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 (2019-2024)
- 8.1.3 Market Forecast (2025-2033)
8.2 Marketing and Advertising
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2019-2024)
- 8.2.3 Market Forecast (2025-2033)
8.3 Media and Entertainment
- 8.3.1 Overview
- 8.3.2 Historical and Current Market Trends (2019-2024)
- 8.3.3 Market Forecast (2025-2033)
8.4 Others
- 8.4.1 Historical and Current Market Trends (2019-2024)
- 8.4.2 Market Forecast (2025-2033)

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 (2019-2024)
- 9.1.3 Market Forecast (2025-2033)
9.2 Healthcare
- 9.2.1 Overview
- 9.2.2 Historical and Current Market Trends (2019-2024)
- 9.2.3 Market Forecast (2025-2033)
9.3 Retail
- 9.3.1 Overview
- 9.3.2 Historical and Current Market Trends (2019-2024)
- 9.3.3 Market Forecast (2025-2033)
9.4 Entertainment
- 9.4.1 Overview
- 9.4.2 Historical and Current Market Trends (2019-2024)
- 9.4.3 Market Forecast (2025-2033)
9.5 Transportation
- 9.5.1 Overview
- 9.5.2 Historical and Current Market Trends (2019-2024)
- 9.5.3 Market Forecast (2025-2033)
9.6 Defence and Security Agency
- 9.6.1 Overview
- 9.6.2 Historical and Current Market Trends (2019-2024)
- 9.6.3 Market Forecast (2025-2033)
9.7 Education
- 9.7.1 Overview
- 9.7.2 Historical and Current Market Trends (2019-2024)
- 9.7.3 Market Forecast (2025-2033)
9.8 Others
- 9.8.1 Historical and Current Market Trends (2019-2024)
- 9.8.2 Market Forecast (2025-2033)

10 Japan Emotion Detection and Recognition Market - Competitive Landscape

10.1 Overview
10.2 Market Structure
10.3 Market Player Positioning
10.4 Top Winning Strategies
10.5 Competitive Dashboard
10.6 Company Evaluation Quadrant

11 Profiles of Key Players

11.1 Company A
- 11.1.1 Business Overview
- 11.1.2 Product Portfolio
- 11.1.3 Business Strategies
- 11.1.4 SWOT Analysis
- 11.1.5 Major News and Events
11.2 Company B
- 11.2.1 Business Overview
- 11.2.2 Product Portfolio
- 11.2.3 Business Strategies
- 11.2.4 SWOT Analysis
- 11.2.5 Major News and Events
11.3 Company C
- 11.3.1 Business Overview
- 11.3.2 Product Portfolio
- 11.3.3 Business Strategies
- 11.3.4 SWOT Analysis
- 11.3.5 Major News and Events
11.4 Company D
- 11.4.1 Business Overview
- 11.4.2 Product Portfolio
- 11.4.3 Business Strategies
- 11.4.4 SWOT Analysis
- 11.4.5 Major News and Events
11.5 Company E
- 11.5.1 Business Overview
- 11.5.2 Product Portfolio
- 11.5.3 Business Strategies
- 11.5.4 SWOT Analysis
- 11.5.5 Major News and Events

12 Japan Emotion Detection and Recognition Market - Industry Analysis

12.1 Drivers, Restraints, and Opportunities
- 12.1.1 Overview
- 12.1.2 Drivers
- 12.1.3 Restraints
- 12.1.4 Opportunities
12.2 Porters Five Forces Analysis
- 12.2.1 Overview
- 12.2.2 Bargaining Power of Buyers
- 12.2.3 Bargaining Power of Suppliers
- 12.2.4 Degree of Competition
- 12.2.5 Threat of New Entrants
- 12.2.6 Threat of Substitutes
12.3 Value Chain Analysis