封面
市场调查报告书
商品编码
1905112

日本影像辨识市场报告(按组件、部署模式、技术、应用、产业垂直领域和地区划分,2026-2034 年)

Japan Image Recognition Market Report by Component, Deployment Mode, Technology, Application, Industry Vertical, 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,日本图像辨识市场规模达22亿美元。展望未来, IMARC Group预计到2034年,该市场规模将达到70亿美元,2026年至2034年间的复合年增长率(CAGR)为14.06%。深度学习技术(例如卷积神经网路(CNN))的日益普及,显着提高了影像辨识系统的准确性和性能,是推动市场成长的主要因素。

本报告解答的关键问题

  • 1.日本影像辨识市场规模有多大?
  • 2.日本图像辨识市场前景如何?
  • 3.哪些因素正在推动日本图像辨识市场的成长?

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:日本影像辨识市场概况

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

第六章:日本图像辨识市场-按组件细分

  • 硬体
  • 软体
  • 服务

第七章:日本影像辨识市场-依部署模式划分

  • 现场
  • 基于云端的

第八章:日本图像辨识市场-依技术划分

  • 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

第九章:日本图像辨识市场-按应用领域划分

  • 扫描和成像
  • 安全与监控
  • 图片搜寻
  • 扩增实境
  • 行销与广告

第十章:日本图像辨识市场-依产业垂直领域划分

  • 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
  • 运输与物流
  • 製造业
  • 其他的

第十一章:日本图像辨识市场-按地区划分

  • 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

第十二章:日本图像辨识市场-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

第十三章:关键参与者简介

第十四章:日本影像辨识市场-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

第十五章:附录

简介目录
Product Code: SR112026A18029

Japan image recognition market size reached USD 2.2 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 7.0 Billion by 2034, exhibiting a growth rate (CAGR) of 14.06% during 2026-2034. 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

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

  • 1.How big is the image recognition market in Japan?
  • 2.What is the forecast for the image recognition market in Japan?
  • 3.What factors are driving the growth of 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 (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Image Recognition Market - Breakup by Component

  • 6.1 Hardware
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Software
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)
  • 6.3 Service
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2020-2025)
    • 6.3.3 Market Forecast (2026-2034)

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 (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 Cloud-based
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)

8 Japan Image Recognition Market - Breakup by Technology

  • 8.1 Object Recognition
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 QR/Barcode Recognition
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)
  • 8.3 Facial Recognition
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2020-2025)
    • 8.3.3 Market Forecast (2026-2034)
  • 8.4 Pattern Recognition
    • 8.4.1 Overview
    • 8.4.2 Historical and Current Market Trends (2020-2025)
    • 8.4.3 Market Forecast (2026-2034)
  • 8.5 Optical Character Recognition
    • 8.5.1 Overview
    • 8.5.2 Historical and Current Market Trends (2020-2025)
    • 8.5.3 Market Forecast (2026-2034)

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 (2020-2025)
    • 9.1.3 Market Forecast (2026-2034)
  • 9.2 Security and Surveillance
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Forecast (2026-2034)
  • 9.3 Image Search
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2020-2025)
    • 9.3.3 Market Forecast (2026-2034)
  • 9.4 Augmented Reality
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2020-2025)
    • 9.4.3 Market Forecast (2026-2034)
  • 9.5 Marketing and Advertising
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2020-2025)
    • 9.5.3 Market Forecast (2026-2034)

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 (2020-2025)
    • 10.1.3 Market Forecast (2026-2034)
  • 10.2 BFSI
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2020-2025)
    • 10.2.3 Market Forecast (2026-2034)
  • 10.3 Healthcare
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2020-2025)
    • 10.3.3 Market Forecast (2026-2034)
  • 10.4 Retail and E-Commerce
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2020-2025)
    • 10.4.3 Market Forecast (2026-2034)
  • 10.5 Government
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2020-2025)
    • 10.5.3 Market Forecast (2026-2034)
  • 10.6 Media and Entertainment
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2020-2025)
    • 10.6.3 Market Forecast (2026-2034)
  • 10.7 Transportation and Logistics
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2020-2025)
    • 10.7.3 Market Forecast (2026-2034)
  • 10.8 Manufacturing
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2020-2025)
    • 10.8.3 Market Forecast (2026-2034)
  • 10.9 Others
    • 10.9.1 Historical and Current Market Trends (2020-2025)
    • 10.9.2 Market Forecast (2026-2034)

11 Japan Image Recognition Market - Breakup by Region

  • 11.1 Kanto Region
    • 11.1.1 Overview
    • 11.1.2 Historical and Current Market Trends (2020-2025)
    • 11.1.3 Market Breakup by Component
    • 11.1.4 Market Breakup by Deployment Mode
    • 11.1.5 Market Breakup by Technology
    • 11.1.6 Market Breakup by Application
    • 11.1.7 Market Breakup by Industry Vertical
    • 11.1.8 Key Players
    • 11.1.9 Market Forecast (2026-2034)
  • 11.2 Kansai/Kinki Region
    • 11.2.1 Overview
    • 11.2.2 Historical and Current Market Trends (2020-2025)
    • 11.2.3 Market Breakup by Component
    • 11.2.4 Market Breakup by Deployment Mode
    • 11.2.5 Market Breakup by Technology
    • 11.2.6 Market Breakup by Application
    • 11.2.7 Market Breakup by Industry Vertical
    • 11.2.8 Key Players
    • 11.2.9 Market Forecast (2026-2034)
  • 11.3 Central/Chubu Region
    • 11.3.1 Overview
    • 11.3.2 Historical and Current Market Trends (2020-2025)
    • 11.3.3 Market Breakup by Component
    • 11.3.4 Market Breakup by Deployment Mode
    • 11.3.5 Market Breakup by Technology
    • 11.3.6 Market Breakup by Application
    • 11.3.7 Market Breakup by Industry Vertical
    • 11.3.8 Key Players
    • 11.3.9 Market Forecast (2026-2034)
  • 11.4 Kyushu-Okinawa Region
    • 11.4.1 Overview
    • 11.4.2 Historical and Current Market Trends (2020-2025)
    • 11.4.3 Market Breakup by Component
    • 11.4.4 Market Breakup by Deployment Mode
    • 11.4.5 Market Breakup by Technology
    • 11.4.6 Market Breakup by Application
    • 11.4.7 Market Breakup by Industry Vertical
    • 11.4.8 Key Players
    • 11.4.9 Market Forecast (2026-2034)
  • 11.5 Tohoku Region
    • 11.5.1 Overview
    • 11.5.2 Historical and Current Market Trends (2020-2025)
    • 11.5.3 Market Breakup by Component
    • 11.5.4 Market Breakup by Deployment Mode
    • 11.5.5 Market Breakup by Technology
    • 11.5.6 Market Breakup by Application
    • 11.5.7 Market Breakup by Industry Vertical
    • 11.5.8 Key Players
    • 11.5.9 Market Forecast (2026-2034)
  • 11.6 Chugoku Region
    • 11.6.1 Overview
    • 11.6.2 Historical and Current Market Trends (2020-2025)
    • 11.6.3 Market Breakup by Component
    • 11.6.4 Market Breakup by Deployment Mode
    • 11.6.5 Market Breakup by Technology
    • 11.6.6 Market Breakup by Application
    • 11.6.7 Market Breakup by Industry Vertical
    • 11.6.8 Key Players
    • 11.6.9 Market Forecast (2026-2034)
  • 11.7 Hokkaido Region
    • 11.7.1 Overview
    • 11.7.2 Historical and Current Market Trends (2020-2025)
    • 11.7.3 Market Breakup by Component
    • 11.7.4 Market Breakup by Deployment Mode
    • 11.7.5 Market Breakup by Technology
    • 11.7.6 Market Breakup by Application
    • 11.7.7 Market Breakup by Industry Vertical
    • 11.7.8 Key Players
    • 11.7.9 Market Forecast (2026-2034)
  • 11.8 Shikoku Region
    • 11.8.1 Overview
    • 11.8.2 Historical and Current Market Trends (2020-2025)
    • 11.8.3 Market Breakup by Component
    • 11.8.4 Market Breakup by Deployment Mode
    • 11.8.5 Market Breakup by Technology
    • 11.8.6 Market Breakup by Application
    • 11.8.7 Market Breakup by Industry Vertical
    • 11.8.8 Key Players
    • 11.8.9 Market Forecast (2026-2034)

12 Japan Image Recognition Market - Competitive Landscape

  • 12.1 Overview
  • 12.2 Market Structure
  • 12.3 Market Player Positioning
  • 12.4 Top Winning Strategies
  • 12.5 Competitive Dashboard
  • 12.6 Company Evaluation Quadrant

13 Profiles of Key Players

  • 13.1 Company A
    • 13.1.1 Business Overview
    • 13.1.2 Product Portfolio
    • 13.1.3 Business Strategies
    • 13.1.4 SWOT Analysis
    • 13.1.5 Major News and Events
  • 13.2 Company B
    • 13.2.1 Business Overview
    • 13.2.2 Product Portfolio
    • 13.2.3 Business Strategies
    • 13.2.4 SWOT Analysis
    • 13.2.5 Major News and Events
  • 13.3 Company C
    • 13.3.1 Business Overview
    • 13.3.2 Product Portfolio
    • 13.3.3 Business Strategies
    • 13.3.4 SWOT Analysis
    • 13.3.5 Major News and Events
  • 13.4 Company D
    • 13.4.1 Business Overview
    • 13.4.2 Product Portfolio
    • 13.4.3 Business Strategies
    • 13.4.4 SWOT Analysis
    • 13.4.5 Major News and Events
  • 13.5 Company E
    • 13.5.1 Business Overview
    • 13.5.2 Product Portfolio
    • 13.5.3 Business Strategies
    • 13.5.4 SWOT Analysis
    • 13.5.5 Major News and Events

14 Japan Image Recognition Market - Industry Analysis

  • 14.1 Drivers, Restraints, and Opportunities
    • 14.1.1 Overview
    • 14.1.2 Drivers
    • 14.1.3 Restraints
    • 14.1.4 Opportunities
  • 14.2 Porters Five Forces Analysis
    • 14.2.1 Overview
    • 14.2.2 Bargaining Power of Buyers
    • 14.2.3 Bargaining Power of Suppliers
    • 14.2.4 Degree of Competition
    • 14.2.5 Threat of New Entrants
    • 14.2.6 Threat of Substitutes
  • 14.3 Value Chain Analysis

15 Appendix