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市場調查報告書

商品編碼

1746507

日本醫療保健人工智慧市場報告（按產品、技術、應用、最終用戶和地區）2025-2033

Japan Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End User, and Region 2025-2033

出版日期: 2025年06月02日 | 出版商:

IMARC | 英文 116 Pages | 商品交期: 5-7個工作天內

價格

簡介目錄

預計2025年至2033年期間，日本醫療保健領域人工智慧市場規模的複合年成長率（CAGR）將達到18.2%。該市場的發展受到多個關鍵因素的驅動，包括對客製化藥物日益成長的需求、對遠端患者監控服務日益成長的興趣，以及機器學習（ML）方法的持續進步，這些方法能夠有效分析醫學影像、識別異常情況並準確預測患者結果。

醫療保健領域的人工智慧 (AI) 運用複雜的演算法和計算模型來分析複雜的醫療資料，輔助診斷和治療，並促進醫療決策過程。該領域涵蓋多種人工智慧技術，包括機器學習 (ML)、自然語言處理 (NLP)、電腦視覺和專家系統。它處理大量患者資料，包括電子健康記錄 (EHR)、醫學影像和基因組資訊，以辨別模式並提供預測。它的貢獻延伸到疾病的早期發現、個人化治療策略的發展以及臨床決策支援。此外，它還透過提供有價值的見解和數據驅動的建議來協助醫療從業者，從而促進循證決策。

日本醫療保健人工智慧市場趨勢：

日本的人工智慧市場正在經歷顯著的成長和各行各業的創新。憑藉對技術進步的高度重視和強大的研發實力，日本已成為人工智慧領域的重要參與者。市場發展受到多種因素的驅動，包括人工智慧日益融入醫療、製造、金融和機器人等產業。日本人口老化刺激了對人工智慧驅動的醫療解決方案的投資，包括診斷工具、遠距醫療和老年護理支援系統。此外，日本政府一直積極推動人工智慧的應用，並提出了「社會5.0」願景等計劃，旨在利用人工智慧和其他技術促進社會進步。日本在災害應變和自動駕駛領域的尖端人工智慧技術的開發，進一步證明了其對人工智慧的承諾。此外，日本還擁有一個蓬勃發展的專注於人工智慧創新的新創企業生態系統。許多新創公司正在與成熟企業合作，實施這些解決方案，以提高效率、生產力和客戶體驗。除了國內成長外，日本也持續參與研究活動，促進國際合作與夥伴關係。隨著人工智慧的不斷發展，區域市場預計將在預測期內持續擴張。

日本醫療保健人工智慧市場細分：

提供見解：

硬體
軟體
服務

技術洞察：

機器學習
情境感知計算
自然語言處理
其他

應用程式洞察：

機器人輔助手術
虛擬護理助理
行政工作流程協助
詐欺偵測
減少劑量誤差
臨床試驗參與者識別符
初步診斷
其他

最終用戶洞察：

醫療保健提供者
製藥和生物技術公司
患者
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、競爭儀錶板和公司評估象限等競爭分析。此外，報告還提供了所有主要公司的詳細資料。

本報告回答的關鍵問題：

日本醫療保健人工智慧市場迄今表現如何，未來幾年將如何表現？
COVID-19 對日本醫療保健人工智慧市場有何影響？
日本醫療保健人工智慧市場在產品提供上如何細分？
日本醫療人工智慧市場在技術層面的分佈如何？
日本醫療保健人工智慧市場在應用方面的分佈如何？
日本醫療保健人工智慧市場的最終用戶分佈如何？
日本醫療保健人工智慧市場的價值鏈分為哪些階段？
日本醫療保健人工智慧的主要促進因素和挑戰是什麼？
日本醫療保健人工智慧市場的結構是怎樣的？主要參與者有哪些？
日本醫療人工智慧市場的競爭程度如何？

本報告回答的關鍵問題：

日本醫療保健人工智慧市場迄今表現如何，未來幾年將如何表現？
COVID-19 對日本醫療保健人工智慧市場有何影響？
日本醫療保健人工智慧市場在產品提供上如何細分？
日本醫療人工智慧市場在技術層面的分佈如何？
日本醫療保健人工智慧市場在應用方面的分佈如何？
日本醫療保健人工智慧市場的最終用戶分佈如何？
日本醫療保健人工智慧市場的價值鏈分為哪些階段？
日本醫療保健人工智慧的主要促進因素和挑戰是什麼？
日本醫療保健人工智慧市場的結構是怎樣的？主要參與者有哪些？
日本醫療人工智慧市場的競爭程度如何？

Japan artificial intelligence in healthcare market size is projected to exhibit a growth rate (CAGR) of 18.2% during 2025-2033. The market is being driven by several key factors, including the increasing need for customized medications, the surging interest in remote patient monitoring services, and the continuous advancements in machine learning (ML) methods for effectively analyzing medical images, identifying irregularities, and accurately forecasting patient results.

Artificial intelligence (AI) in healthcare involves the utilization of sophisticated algorithms and computational models to examine intricate medical data, aid in diagnosis and treatment, and facilitate healthcare decision-making processes. This field encompasses a variety of AI techniques, including machine learning (ML), natural language processing (NLP), computer vision, and expert systems. It processes extensive sets of patient data, encompassing electronic health records (EHR), medical imagery, and genomic information, to discern patterns and offer predictions. Its contributions extend to the early detection of diseases, the formulation of personalized treatment strategies, and support for clinical decision-making. Furthermore, it assists healthcare practitioners by providing valuable insights and data-driven recommendations, contributing to evidence-based decision-making.

Japan Artificial Intelligence in Healthcare Market Trends:

The artificial intelligence market in Japan is experiencing remarkable growth and innovation across various sectors. With a strong emphasis on technological advancements and a robust research and development landscape, Japan has positioned itself as a major player in the AI arena. The market is driven by a multitude of factors, including the increasing integration of artificial intelligence into industries such as healthcare, manufacturing, finance, and robotics. Japan's aging population has spurred investments in AI-driven healthcare solutions, including diagnostic tools, telemedicine, and elder care support systems. Moreover, the Japanese government has been actively promoting AI adoption through initiatives like the "Society 5.0" vision, which seeks to harness AI and other technologies for societal advancement. The country's commitment to AI is further evidenced by the development of cutting-edge AI technologies for disaster response and autonomous transportation. Besides this, Japan is also home to a thriving startup ecosystem focused on AI innovation. Many startups are collaborating with established enterprises to implement these solutions that enhance efficiency, productivity, and customer experiences. In addition to its domestic growth, Japan is increasingly participating in the research activities, fostering international collaborations and partnerships. As AI continues to evolve, regional market is poised for sustained expansion over the forecasted period.

Japan Artificial Intelligence in Healthcare Market Segmentation:

Offering Insights:

Hardware
Software
Services

Technology Insights:

Machine Learning
Context-Aware Computing
Natural Language Processing
Others

Application Insights:

Robot-Assisted Surgery
Virtual Nursing Assistant
Administrative Workflow Assistance
Fraud Detection
Dosage Error Reduction
Clinical Trial Participant Identifier
Preliminary Diagnosis
Others

End User Insights:

Healthcare Providers
Pharmaceutical and Biotechnology Companies
Patients
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 artificial intelligence in healthcare market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the Japan artificial intelligence in healthcare market?
What is the breakup of the Japan artificial intelligence in healthcare market on the basis of offering?
What is the breakup of the Japan artificial intelligence in healthcare market on the basis of technology?
What is the breakup of the Japan artificial intelligence in healthcare market on the basis of application?
What is the breakup of the Japan artificial intelligence in healthcare market on the basis of end user?
What are the various stages in the value chain of the Japan artificial intelligence in healthcare market?
What are the key driving factors and challenges in the Japan artificial intelligence in healthcare?
What is the structure of the Japan artificial intelligence in healthcare market and who are the key players?
What is the degree of competition in the Japan artificial intelligence in healthcare 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 Artificial Intelligence in Healthcare Market - Introduction

4.1 Overview
4.2 Market Dynamics
4.3 Industry Trends
4.4 Competitive Intelligence

5 Japan Artificial Intelligence in Healthcare Market Landscape

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

6 Japan Artificial Intelligence in Healthcare Market - Breakup by Offering

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 Services
- 6.3.1 Overview
- 6.3.2 Historical and Current Market Trends (2019-2024)
- 6.3.3 Market Forecast (2025-2033)

7 Japan Artificial Intelligence in Healthcare Market - Breakup by Technology

7.1 Machine Learning
- 7.1.1 Overview
- 7.1.2 Historical and Current Market Trends (2019-2024)
- 7.1.3 Market Forecast (2025-2033)
7.2 Context-Aware Computing
- 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 Others
- 7.4.1 Historical and Current Market Trends (2019-2024)
- 7.4.2 Market Forecast (2025-2033)

8 Japan Artificial Intelligence in Healthcare Market - Breakup by Application

8.1 Robot-Assisted Surgery
- 8.1.1 Overview
- 8.1.2 Historical and Current Market Trends (2019-2024)
- 8.1.3 Market Forecast (2025-2033)
8.2 Virtual Nursing Assistant
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2019-2024)
- 8.2.3 Market Forecast (2025-2033)
8.3 Administrative Workflow Assistance
- 8.3.1 Overview
- 8.3.2 Historical and Current Market Trends (2019-2024)
- 8.3.3 Market Forecast (2025-2033)
8.4 Fraud Detection
- 8.4.1 Overview
- 8.4.2 Historical and Current Market Trends (2019-2024)
- 8.4.3 Market Forecast (2025-2033)
8.5 Dosage Error Reduction
- 8.5.1 Overview
- 8.5.2 Historical and Current Market Trends (2019-2024)
- 8.5.3 Market Forecast (2025-2033)
8.6 Clinical Trial Participant Identifier
- 8.6.1 Overview
- 8.6.2 Historical and Current Market Trends (2019-2024)
- 8.6.3 Market Forecast (2025-2033)
8.7 Preliminary Diagnosis
- 8.7.1 Overview
- 8.7.2 Historical and Current Market Trends (2019-2024)
- 8.7.3 Market Forecast (2025-2033)
8.8 Others
- 8.8.1 Historical and Current Market Trends (2019-2024)
- 8.8.2 Market Forecast (2025-2033)

9 Japan Artificial Intelligence in Healthcare Market - Breakup by End User

9.1 Healthcare Providers
- 9.1.1 Overview
- 9.1.2 Historical and Current Market Trends (2019-2024)
- 9.1.3 Market Forecast (2025-2033)
9.2 Pharmaceutical and Biotechnology Companies
- 9.2.1 Overview
- 9.2.2 Historical and Current Market Trends (2019-2024)
- 9.2.3 Market Forecast (2025-2033)
9.3 Patients
- 9.3.1 Overview
- 9.3.2 Historical and Current Market Trends (2019-2024)
- 9.3.3 Market Forecast (2025-2033)
9.4 Others
- 9.4.1 Historical and Current Market Trends (2019-2024)
- 9.4.2 Market Forecast (2025-2033)

10 Japan Artificial Intelligence in Healthcare 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 Artificial Intelligence in Healthcare 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