日本影像辨识市场报告（按组件、部署模式、技术、应用、行业垂直和地区）2025-2033

2024年日本影像辨识市场规模达19亿美元。展望未来， IMARC Group预计到2033年市场规模将达到68亿美元，2025-2033年期间的成长率（CAGR）为14.2%。卷积神经网路 (CNN) 等深度学习技术的日益普及显着提高了影像辨识系统的准确性和性能，是推动市场发展的主要动力。

图像识别，也称为电脑视觉，是人工智慧 (AI) 的一个领域，它使机器能够理解和解释来自图像或视讯的视觉讯息。它涉及使用演算法和深度学习模型来分析和识别这些视觉输入中的物件、模式或特征。这个过程通常从影像预处理开始，在此过程中清理和增强资料以提高准确性。然后，应用特征提取技术从图像中捕获相关讯息，例如边缘、纹理或颜色图案。机器学习模型，尤其是卷积神经网路（CNN），通常用于影像辨识任务。这些模型透过对大型资料集进行训练来学习识别模式和物体。影像辨识具有广泛的实际应用，包括脸部辨识、医学影像分析、自动驾驶汽车、监控和製造业的品质控制。随着深度学习的出现，它取得了显着的进步，达到了惊人的准确性，使机器能够执行曾经专属于人类视觉的任务，使其成为现代人工智慧系统的重要组成部分。

日本图像辨识市场趋势：

日本的图像辨识市场正在快速成长，主要受几个关键因素的推动。首先，智慧型手机的普及和先进相机技术的整合推动了对影像辨识解决方案的需求。随着消费者越来越依赖行动装置完成购物和社群媒体等各种任务，企业渴望利用影像辨识来增强使用者体验并推动销售。此外，电子商务活动的激增进一步推动了影像辨识技术的采用。线上零售商正在利用图像识别来促进视觉搜索，使客户只需上传图像即可更轻鬆地找到产品。这不仅改善了购物体验，而且提高了转换率和客户满意度。此外，医疗保健领域在影像辨识应用方面取得了长足的进步。医疗专业人员正在利用影像辨识进行诊断、疾病检测和治疗计划，加速该产业的发展。此外，汽车产业正在整合影像识别，以增强驾驶辅助系统和自动驾驶汽车等安全功能。反过来，预计这将在预测期内推动日本图像识别市场的发展。

日本图像辨识市场细分：

组件洞察：

• 硬体
• 软体
• 服务

部署模式洞察：

• 本地
• 基于云端

技术洞察：

• 物体辨识
• 二维码/条码识别
• 脸部辨识
• 模式识别
• 光学字元辨识

应用程式洞察：

• 扫描和成像
• 安全与监控
• 图片搜寻
• 扩增实境
• 行销和广告

产业垂直洞察：

• 资讯科技和电信
• 金融服务业
• 卫生保健
• 零售与电子商务
• 政府
• 媒体与娱乐
• 运输和物流
• 製造业
• 其他的

竞争格局：

市场研究报告也对竞争格局进行了全面的分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪表板和公司评估象限等竞争分析。此外，也提供了所有主要公司的详细资料。

本报告回答的关键问题：

• 日本图像辨识市场目前表现如何？未来几年将如何表现？
• COVID-19 对日本影像辨识市场有何影响？
• 日本图像辨识市场按组件分類的分布是怎样的？
• 日本影像辨识市场依照部署模式的划分是怎样的？
• 日本图像辨识市场依技术分類的分布是怎样的？
• 日本图像辨识市场按应用分類的分布是怎样的？
• 日本图像辨识市场依产业垂直分類的分布是怎样的？
• 日本图像辨识市场的价值链分为哪些阶段？
• 日本影像辨识的关键驱动因素和挑战是什么？
• 日本图像辨识市场的结构是怎么样的？主要参与者是谁？
• 日本图像辨识市场的竞争程度如何？

本报告回答的关键问题：

• 日本图像辨识市场目前表现如何？未来几年将如何表现？
• COVID-19 对日本影像辨识市场有何影响？
• 日本图像辨识市场按组件分類的分布是怎样的？
• 日本影像辨识市场依照部署模式的划分是怎样的？
• 日本图像辨识市场依技术分類的分布是怎样的？
• 日本图像辨识市场按应用分類的分布是怎样的？
• 日本图像辨识市场依产业垂直分類的分布是怎样的？
• 日本图像辨识市场的价值链分为哪些阶段？
• 日本影像辨识的关键驱动因素和挑战是什么？
• 日本图像辨识市场的结构是怎么样的？主要参与者是谁？
• 日本图像辨识市场的竞争程度如何？

目录

第一章：前言

第二章：范围与方法

• 研究目标
• 利害关係人
• 资料来源
  • 主要来源
  • 次要来源
• 市场评估
  • 自下而上的方法
  • 自上而下的方法
• 预测方法

第三章：执行摘要

第四章：日本影像辨识市场-简介

• 概述
• 市场动态
• 产业趋势
• 竞争情报

第五章：日本图像辨识市场格局

• 历史与当前市场趋势（2019-2024）
• 市场预测（2025-2033）

第六章：日本图像辨识市场-细分：按组件

• 硬体
  • 概述
• 软体
  • 概述
• 服务
  • 概述

第七章：日本影像辨识市场-细分：依部署模式

• 本地
  • 概述
• 基于云端
  • 概述

第 8 章：日本图像辨识市场 - 细分：按技术

• 物体辨识
  • 概述
• 二维码/条码识别
  • 概述
• 脸部辨识
  • 概述
• 模式识别
  • 概述
• 光学字元辨识
  • 概述

第九章：日本图像辨识市场-细分：依应用

• 扫描和成像
  • 概述
• 安全与监控
  • 概述
• 图片搜寻
  • 概述
• 扩增实境
  • 概述
• 行销和广告
  • 概述

第 10 章：日本图像辨识市场 - 细分：按产业垂直

• 资讯科技和电信
  • 概述
• 金融服务业
  • 概述
• 卫生保健
  • 概述
• 零售与电子商务
  • 概述
• 政府
  • 概述
• 媒体与娱乐
  • 概述
• 运输和物流
  • 概述
• 製造业
  • 概述
• 其他的

第 11 章：日本影像辨识市场 - 竞争格局

• 概述
• 市场结构
• 市场参与者定位
• 最佳获胜策略
• 竞争仪錶板
• 公司评估象限

第 12 章：关键参与者简介

• Company A
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company B
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company C
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company D
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company E
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events

第十三章：日本影像辨识市场-产业分析

• 驱动因素、限制因素和机会
  • 概述
  • 驱动程式
  • 限制
  • 机会
• 波特五力分析
  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁
• 价值链分析

第 14 章：附录

Japan image recognition market size reached USD 1.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 6.8 Billion by 2033, exhibiting a growth rate (CAGR) of 14.2% during 2025-2033. The increasing popularity of deep learning techniques, such as convolutional neural networks (CNNs), which have significantly improved the accuracy and performance of image recognition systems, is primarily driving the market.

Image recognition, also known as computer vision, is a field of artificial intelligence (AI) that enables machines to understand and interpret visual information from images or videos. It involves the use of algorithms and deep learning models to analyze and identify objects, patterns, or features within these visual inputs. The process typically starts with image preprocessing, where data is cleaned and enhanced to improve accuracy. Then, feature extraction techniques are applied to capture relevant information from the image, such as edges, textures, or color patterns. Machine learning models, particularly convolutional neural networks (CNNs), are commonly used for image recognition tasks. These models learn to recognize patterns and objects through training on large datasets. Image recognition has a wide range of practical applications, including facial recognition, medical image analysis, autonomous vehicles, surveillance, and quality control in manufacturing. It has significantly advanced with the advent of deep learning, achieving remarkable accuracy and enabling machines to perform tasks that were once exclusive to human vision, making it a crucial component of modern AI systems.

Japan Image Recognition Market Trends:

The image recognition market in Japan is experiencing rapid growth, primarily driven by several key factors. Firstly, the proliferation of smartphones and the integration of advanced camera technology have propelled the demand for image recognition solutions. As consumers increasingly rely on their mobile devices for various tasks, including shopping and social media engagement, businesses are eager to harness image recognition to enhance user experiences and drive sales. Moreover, the surge in e-commerce activities has further fueled the adoption of image recognition technologies. Online retailers are leveraging image recognition to facilitate visual search, enabling customers to find products more easily by simply uploading images. This has not only improved the shopping experience but also increased conversion rates and customer satisfaction. Furthermore, the healthcare sector has witnessed substantial advancements in image recognition applications. Medical professionals are employing image recognition for diagnostics, disease detection, and treatment planning, accelerating the industry's growth. Additionally, the automotive industry is integrating image recognition for enhanced safety features such as driver assistance systems and autonomous vehicles. This, in turn, is expected to drive the image recognition market in Japan during the forecast period.

Japan Image Recognition Market Segmentation:

Component Insights:

• Hardware
• Software
• Service

Deployment Mode Insights:

• On-premises
• Cloud-based

Technology Insights:

• Object Recognition
• QR/Barcode Recognition
• Facial Recognition
• Pattern Recognition
• Optical Character Recognition

Application Insights:

• Scanning and Imaging
• Security and Surveillance
• Image Search
• Augmented Reality
• Marketing and Advertising

Industry Vertical Insights:

• IT and Telecom
• BFSI
• Healthcare
• Retail and E-Commerce
• Government
• Media and Entertainment
• Transportation and Logistics
• Manufacturing
• 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 image 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 image recognition market?
• What is the breakup of the Japan image recognition market on the basis of component?
• What is the breakup of the Japan image recognition market on the basis of deployment mode?
• What is the breakup of the Japan image recognition market on the basis of technology?
• What is the breakup of the Japan image recognition market on the basis of application?
• What is the breakup of the Japan image recognition market on the basis of industry vertical?
• What are the various stages in the value chain of the Japan image recognition market?
• What are the key driving factors and challenges in the Japan image recognition?
• What is the structure of the Japan image recognition market and who are the key players?
• What is the degree of competition in the Japan image 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 Image Recognition Market - Introduction

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

5 Japan Image Recognition Market Landscape

• 5.1 Historical and Current Market Trends (2019-2024)
• 5.2 Market Forecast (2025-2033)

6 Japan Image Recognition Market - Breakup by Component

• 6.1 Hardware
  • 6.1.1 Overview
  • 6.1.2 Historical and Current Market Trends (2019-2024)
  • 6.1.3 Market Forecast (2025-2033)
• 6.2 Software
  • 6.2.1 Overview
  • 6.2.2 Historical and Current Market Trends (2019-2024)
  • 6.2.3 Market Forecast (2025-2033)
• 6.3 Service
  • 6.3.1 Overview
  • 6.3.2 Historical and Current Market Trends (2019-2024)
  • 6.3.3 Market Forecast (2025-2033)

7 Japan Image Recognition Market - Breakup by Deployment Mode

• 7.1 On-premises
  • 7.1.1 Overview
  • 7.1.2 Historical and Current Market Trends (2019-2024)
  • 7.1.3 Market Forecast (2025-2033)
• 7.2 Cloud-based
  • 7.2.1 Overview
  • 7.2.2 Historical and Current Market Trends (2019-2024)
  • 7.2.3 Market Forecast (2025-2033)

8 Japan Image Recognition Market - Breakup by Technology

• 8.1 Object Recognition
  • 8.1.1 Overview
  • 8.1.2 Historical and Current Market Trends (2019-2024)
  • 8.1.3 Market Forecast (2025-2033)
• 8.2 QR/Barcode Recognition
  • 8.2.1 Overview
  • 8.2.2 Historical and Current Market Trends (2019-2024)
  • 8.2.3 Market Forecast (2025-2033)
• 8.3 Facial Recognition
  • 8.3.1 Overview
  • 8.3.2 Historical and Current Market Trends (2019-2024)
  • 8.3.3 Market Forecast (2025-2033)
• 8.4 Pattern Recognition
  • 8.4.1 Overview
  • 8.4.2 Historical and Current Market Trends (2019-2024)
  • 8.4.3 Market Forecast (2025-2033)
• 8.5 Optical Character Recognition
  • 8.5.1 Overview
  • 8.5.2 Historical and Current Market Trends (2019-2024)
  • 8.5.3 Market Forecast (2025-2033)

9 Japan Image Recognition Market - Breakup by Application

• 9.1 Scanning and Imaging
  • 9.1.1 Overview
  • 9.1.2 Historical and Current Market Trends (2019-2024)
  • 9.1.3 Market Forecast (2025-2033)
• 9.2 Security and Surveillance
  • 9.2.1 Overview
  • 9.2.2 Historical and Current Market Trends (2019-2024)
  • 9.2.3 Market Forecast (2025-2033)
• 9.3 Image Search
  • 9.3.1 Overview
  • 9.3.2 Historical and Current Market Trends (2019-2024)
  • 9.3.3 Market Forecast (2025-2033)
• 9.4 Augmented Reality
  • 9.4.1 Overview
  • 9.4.2 Historical and Current Market Trends (2019-2024)
  • 9.4.3 Market Forecast (2025-2033)
• 9.5 Marketing and Advertising
  • 9.5.1 Overview
  • 9.5.2 Historical and Current Market Trends (2019-2024)
  • 9.5.3 Market Forecast (2025-2033)

10 Japan Image Recognition Market - Breakup by Industry Vertical

• 10.1 IT and Telecom
  • 10.1.1 Overview
  • 10.1.2 Historical and Current Market Trends (2019-2024)
  • 10.1.3 Market Forecast (2025-2033)
• 10.2 BFSI
  • 10.2.1 Overview
  • 10.2.2 Historical and Current Market Trends (2019-2024)
  • 10.2.3 Market Forecast (2025-2033)
• 10.3 Healthcare
  • 10.3.1 Overview
  • 10.3.2 Historical and Current Market Trends (2019-2024)
  • 10.3.3 Market Forecast (2025-2033)
• 10.4 Retail and E-Commerce
  • 10.4.1 Overview
  • 10.4.2 Historical and Current Market Trends (2019-2024)
  • 10.4.3 Market Forecast (2025-2033)
• 10.5 Government
  • 10.5.1 Overview
  • 10.5.2 Historical and Current Market Trends (2019-2024)
  • 10.5.3 Market Forecast (2025-2033)
• 10.6 Media and Entertainment
  • 10.6.1 Overview
  • 10.6.2 Historical and Current Market Trends (2019-2024)
  • 10.6.3 Market Forecast (2025-2033)
• 10.7 Transportation and Logistics
  • 10.7.1 Overview
  • 10.7.2 Historical and Current Market Trends (2019-2024)
  • 10.7.3 Market Forecast (2025-2033)
• 10.8 Manufacturing
  • 10.8.1 Overview
  • 10.8.2 Historical and Current Market Trends (2019-2024)
  • 10.8.3 Market Forecast (2025-2033)
• 10.9 Others
  • 10.9.1 Historical and Current Market Trends (2019-2024)
  • 10.9.2 Market Forecast (2025-2033)

11 Japan Image 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 Image 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