日本の画像認識市場レポート：コンポーネント別、展開モード別、技術別、用途別、業界別、地域別、2025年～2033年

日本の画像認識の市場規模は2024年に19億米ドルに達しました。今後、IMARC Groupは、同市場は2033年までに68億米ドルに達し、2025～2033年の成長率（CAGR）は14.2％になると予測しています。画像認識システムの精度と性能を大幅に向上させた畳み込みニューラルネットワーク（CNN）などのディープラーニング技術の人気が高まっていることが、主に市場を牽引しています。

本レポートで扱う主な質問

• 日本の画像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していくのか？
• COVID-19が日本の画像認識市場に与えた影響は？
• 日本の画像認識市場のコンポーネント別区分は？
• 日本の画像認識市場の展開モード別区分は？
• 日本の画像認識市場の技術別区分は？
• 日本の画像認識市場の用途別区分は？
• 日本の画像認識市場の業界別区分は？
• 日本の画像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？
• 日本の画像認識の主な促進要因と課題は？
• 日本の画像認識市場の構造と主要プレーヤーは？
• 日本の画像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 日本の画像認識市場- 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 日本の画像認識市場情勢

• 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 日本の画像認識市場- コンポーネント別の内訳

• ハードウェア
• ソフトウェア
• サービス

第7章 日本の画像認識市場- 展開モード別の内訳

• オンプレミス
• クラウドベース

第8章 日本の画像認識市場- 技術別の内訳

• 物体認識
• QR/バーコード認識
• 顔認識
• パターン認識
• 光学文字認識

第9章 日本の画像認識市場- 用途別の内訳

• スキャンとイメージング
• セキュリティと監視
• 画像検索
• 拡張現実
• マーケティングと広告

第10章 日本の画像認識市場- 業界別の内訳

• ITおよび通信
• BFSI
• ヘルスケア
• 小売業とeコマース
• 政府
• メディアとエンターテイメント
• 運輸・物流
• 製造
• その他

第11章 日本の画像認識市場- 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12章 主要企業のプロファイル

第13章 日本の画像認識市場- 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14章 付録

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