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商品編碼

1729257

日本影像辨識市場報告（按組件、部署模式、技術、應用、行業垂直和地區）2025-2033

Japan Image Recognition Market Report by Component, Deployment Mode, Technology, Application, Industry Vertical, and Region 2025-2033

出版日期: 2025年05月01日 | 出版商:

IMARC | 英文 121 Pages | 商品交期: 5-7個工作天內

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簡介目錄

2024年日本影像辨識市場規模達19億美元。展望未來， IMARC Group預計到2033年市場規模將達到68億美元，2025-2033年期間的成長率（CAGR）為14.2%。卷積神經網路 (CNN) 等深度學習技術的日益普及顯著提高了影像辨識系統的準確性和性能，是推動市場發展的主要動力。

圖像識別，也稱為電腦視覺，是人工智慧 (AI) 的一個領域，它使機器能夠理解和解釋來自圖像或視訊的視覺訊息。它涉及使用演算法和深度學習模型來分析和識別這些視覺輸入中的物件、模式或特徵。這個過程通常從影像預處理開始，在此過程中清理和增強資料以提高準確性。然後，應用特徵提取技術從圖像中捕獲相關訊息，例如邊緣、紋理或顏色圖案。機器學習模型，尤其是卷積神經網路（CNN），通常用於影像辨識任務。這些模型透過對大型資料集進行訓練來學習識別模式和物體。影像辨識具有廣泛的實際應用，包括臉部辨識、醫學影像分析、自動駕駛汽車、監控和製造業的品質控制。隨著深度學習的出現，它取得了顯著的進步，達到了驚人的準確性，使機器能夠執行曾經專屬於人類視覺的任務，使其成為現代人工智慧系統的重要組成部分。

日本圖像辨識市場趨勢：

日本的圖像辨識市場正在快速成長，主要受幾個關鍵因素的推動。首先，智慧型手機的普及和先進相機技術的整合推動了對影像辨識解決方案的需求。隨著消費者越來越依賴行動裝置完成購物和社群媒體等各種任務，企業渴望利用影像辨識來增強使用者體驗並推動銷售。此外，電子商務活動的激增進一步推動了影像辨識技術的採用。線上零售商正在利用圖像識別來促進視覺搜索，使客戶只需上傳圖像即可更輕鬆地找到產品。這不僅改善了購物體驗，而且提高了轉換率和客戶滿意度。此外，醫療保健領域在影像辨識應用方面取得了長足的進步。醫療專業人員正在利用影像辨識進行診斷、疾病檢測和治療計劃，加速該產業的發展。此外，汽車產業正在整合影像識別，以增強駕駛輔助系統和自動駕駛汽車等安全功能。反過來，預計這將在預測期內推動日本圖像識別市場的發展。

日本圖像辨識市場細分：

組件洞察：

硬體
軟體
服務

部署模式洞察：

本地
基於雲端

技術洞察：

物體辨識
2D碼/條碼識別
臉部辨識
模式識別
光學字元辨識

應用程式洞察：

掃描和成像
安全與監控
圖片搜尋
擴增實境
行銷和廣告

產業垂直洞察：

資訊科技和電信
金融服務業
衛生保健
零售與電子商務
政府
媒體與娛樂
運輸和物流
製造業
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、競爭儀表板和公司評估象限等競爭分析。此外，也提供了所有主要公司的詳細資料。

本報告回答的關鍵問題：

日本圖像辨識市場目前表現如何？未來幾年將如何表現？
COVID-19 對日本影像辨識市場有何影響？
日本圖像辨識市場按組件分類的分佈是怎樣的？
日本影像辨識市場依照部署模式的分類是怎樣的？
日本圖像辨識市場依技術分類的分佈是怎樣的？
日本圖像辨識市場按應用分類的分佈是怎樣的？
日本圖像辨識市場依產業垂直分類的分佈是怎樣的？
日本圖像辨識市場的價值鏈分為哪些階段？
日本影像辨識的關鍵促進因素和挑戰是什麼？
日本圖像辨識市場的結構是怎麼樣的？主要參與者是誰？
日本圖像辨識市場的競爭程度如何？

本報告回答的關鍵問題：

日本圖像辨識市場目前表現如何？未來幾年將如何表現？
COVID-19 對日本影像辨識市場有何影響？
日本圖像辨識市場按組件分類的分佈是怎樣的？
日本影像辨識市場依照部署模式的分類是怎樣的？
日本圖像辨識市場依技術分類的分佈是怎樣的？
日本圖像辨識市場按應用分類的分佈是怎樣的？
日本圖像辨識市場依產業垂直分類的分佈是怎樣的？
日本圖像辨識市場的價值鏈分為哪些階段？
日本影像辨識的關鍵促進因素和挑戰是什麼？
日本圖像辨識市場的結構是怎麼樣的？主要參與者是誰？
日本圖像辨識市場的競爭程度如何？

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?

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