日本の感情検出・認識市場レポート：コンポーネント、テクノロジー、用途、エンドユーザー、地域別、2025年～2033年

日本の感情検出・認識市場規模は2024年に31億米ドルに達しました。今後、IMARC Groupは、同市場が2033年までに133億米ドルに達し、2025年から2033年にかけて16.2%の成長率（CAGR）を示すと予測しています。顧客の感情や嗜好を理解したいという企業間のニーズの高まりが、主に市場成長の原動力となっています。

本レポートで扱う主な質問

• 日本の感情検出・認識市場はこれまでどのように推移し、今後どのように推移するのか？
• COVID-19が日本の感情検出・認識市場に与えた影響は？
• 日本の感情検出・認識市場のコンポーネント別区分は？
• 日本の感情検出・認識市場のテクノロジー別区分は？
• 日本の感情検出・認識市場の用途別区分は？
• 日本の感情検出・認識市場のエンドユーザー別区分は？
• 日本の感情検出・認識市場のバリューチェーンにおける様々なステージとは？
• 日本の感情検出・認識の主要な促進要因と課題は何か？
• 日本の感情検出・認識市場の構造と主要企業は？
• 日本の感情検出・認識市場における競合の程度は？

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査の目的
• ステークホルダー
• データソース
• 市場推定
• 調査手法

第3章 エグゼクティブサマリー

第4章 日本の感情検出・認識市場-イントロダクション

• 概要
• 市場力学
• 業界動向
• 競合情報

第5章 日本の感情検出・認識市場情勢

• 過去および現在の市場動向（2019～2024年）
• 市場予測（2025～2033年）

第6章 日本の感情検出・認識市場- コンポーネント別の内訳

• ソフトウェアツール
• サービス

第7章 日本の感情検出・認識市場- テクノロジー別の内訳

• パターン認識ネットワーク
• 機械学習
• 自然言語処理
• バイオセンサー技術
• 特徴抽出と3Dモデリング
• その他

第8章 日本の感情検出・認識市場- 用途別の内訳

• 法執行、監視、モニタリング
• マーケティングと広告
• メディアとエンターテイメント
• その他

第9章 日本の感情検出・認識市場- エンドユーザー別の内訳

• 政府
• ヘルスケア
• 小売り
• エンターテインメント
• 輸送機関
• 国防安全保障局
• 教育
• その他

第10章 日本の感情検出・認識市場-競合情勢

• 概要
• 市場構造
• 市場企業のポジショニング
• 主要成功戦略
• 競合ダッシュボード
• 企業評価象限

第11章 主要企業のプロファイル

第12章 日本の感情検出・認識市場- 業界分析

• 促進要因・抑制要因・機会
• ポーターのファイブフォース分析
• バリューチェーン分析

第13章 付録

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?

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 (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

13 Appendix