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市場調查報告書

商品編碼

1905130

日本醫療保健人工智慧市場報告（按產品、技術、應用、最終用戶和地區分類，2026-2034 年）

Japan Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End User, and Region 2026-2034

出版日期: 2026年01月01日 | 出版商:

IMARC | 英文 121 Pages | 商品交期: 5-7個工作天內

價格

簡介目錄

2025年，日本醫療保健人工智慧市場規模達5.453億美元。展望未來， IMARC Group預計到2034年，該市場規模將達到22.906億美元，2026年至2034年間的複合年成長率（CAGR）為17.29%。推動市場成長的關鍵因素包括：對個人化藥物需求的不斷成長、對遠距患者監護服務的日益關注，以及機器學習（ML）方法在有效分析醫學影像、識別異常情況和準確預測患者預後方面的持續進步。

本報告解答的關鍵問題：

日本醫療保健領域的人工智慧市場目前表現如何？未來幾年又將如何發展？
日本醫療保健領域人工智慧市場按產品和服務分類的組成是怎樣的？
日本醫療保健領域人工智慧市場按技術分類的組成是怎樣的？
日本醫療保健領域人工智慧市場按應用領域分類的組成是怎樣的？
日本醫療保健領域人工智慧市場按最終用戶分類的組成是怎樣的？
日本醫療保健人工智慧市場價值鏈的各個階段有哪些？
日本醫療保健領域人工智慧發展的關鍵促進因素和挑戰是什麼？
日本醫療保健領域人工智慧市場的結構是怎麼樣的？主要參與者有哪些？
日本醫療保健領域人工智慧市場的競爭程度如何？

Japan artificial intelligence in healthcare market size reached USD 545.3 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 2,290.6 Million by 2034, exhibiting a growth rate (CAGR) of 17.29% during 2026-2034. 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

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:

How has the Japan artificial intelligence in healthcare market performed so far and how will it perform in the coming years?
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 (2020-2025)
5.2 Market Forecast (2026-2034)

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 (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 Services
- 6.3.1 Overview
- 6.3.2 Historical and Current Market Trends (2020-2025)
- 6.3.3 Market Forecast (2026-2034)

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 (2020-2025)
- 7.1.3 Market Forecast (2026-2034)
7.2 Context-Aware Computing
- 7.2.1 Overview
- 7.2.2 Historical and Current Market Trends (2020-2025)
- 7.2.3 Market Forecast (2026-2034)
7.3 Natural Language Processing
- 7.3.1 Overview
- 7.3.2 Historical and Current Market Trends (2020-2025)
- 7.3.3 Market Forecast (2026-2034)
7.4 Others
- 7.4.1 Historical and Current Market Trends (2020-2025)
- 7.4.2 Market Forecast (2026-2034)

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 (2020-2025)
- 8.1.3 Market Forecast (2026-2034)
8.2 Virtual Nursing Assistant
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2020-2025)
- 8.2.3 Market Forecast (2026-2034)
8.3 Administrative Workflow Assistance
- 8.3.1 Overview
- 8.3.2 Historical and Current Market Trends (2020-2025)
- 8.3.3 Market Forecast (2026-2034)
8.4 Fraud Detection
- 8.4.1 Overview
- 8.4.2 Historical and Current Market Trends (2020-2025)
- 8.4.3 Market Forecast (2026-2034)
8.5 Dosage Error Reduction
- 8.5.1 Overview
- 8.5.2 Historical and Current Market Trends (2020-2025)
- 8.5.3 Market Forecast (2026-2034)
8.6 Clinical Trial Participant Identifier
- 8.6.1 Overview
- 8.6.2 Historical and Current Market Trends (2020-2025)
- 8.6.3 Market Forecast (2026-2034)
8.7 Preliminary Diagnosis
- 8.7.1 Overview
- 8.7.2 Historical and Current Market Trends (2020-2025)
- 8.7.3 Market Forecast (2026-2034)
8.8 Others
- 8.8.1 Historical and Current Market Trends (2020-2025)
- 8.8.2 Market Forecast (2026-2034)

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 (2020-2025)
- 9.1.3 Market Forecast (2026-2034)
9.2 Pharmaceutical and Biotechnology Companies
- 9.2.1 Overview
- 9.2.2 Historical and Current Market Trends (2020-2025)
- 9.2.3 Market Forecast (2026-2034)
9.3 Patients
- 9.3.1 Overview
- 9.3.2 Historical and Current Market Trends (2020-2025)
- 9.3.3 Market Forecast (2026-2034)
9.4 Others
- 9.4.1 Historical and Current Market Trends (2020-2025)
- 9.4.2 Market Forecast (2026-2034)

10 Japan Artificial Intelligence in Healthcare Market - Breakup by Region

10.1 Kanto Region
- 10.1.1 Overview
- 10.1.2 Historical and Current Market Trends (2020-2025)
- 10.1.3 Market Breakup by Offering
- 10.1.4 Market Breakup by Technology
- 10.1.5 Market Breakup by Application
- 10.1.6 Market Breakup by End User
- 10.1.7 Key Players
- 10.1.10 Market Forecast (2026-2034)
10.2 Kansai/Kinki Region
- 10.2.1 Overview
- 10.2.2 Historical and Current Market Trends (2020-2025)
- 10.2.3 Market Breakup by Offering
- 10.2.4 Market Breakup by Technology
- 10.2.5 Market Breakup by Application
- 10.2.6 Market Breakup by End User
- 10.2.7 Key Players
- 10.2.8 Market Forecast (2026-2034)
10.3 Central/ Chubu Region
- 10.3.1 Overview
- 10.3.2 Historical and Current Market Trends (2020-2025)
- 10.3.3 Market Breakup by Offering
- 10.3.4 Market Breakup by Technology
- 10.3.5 Market Breakup by Application
- 10.3.6 Market Breakup by End User
- 10.3.7 Key Players
- 10.3.8 Market Forecast (2026-2034)
10.4 Kyushu-Okinawa Region
- 10.4.1 Overview
- 10.4.2 Historical and Current Market Trends (2020-2025)
- 10.4.3 Market Breakup by Offering
- 10.4.4 Market Breakup by Technology
- 10.4.5 Market Breakup by Application
- 10.4.6 Market Breakup by End User
- 10.4.7 Key Players
- 10.4.8 Market Forecast (2026-2034)
10.5 Tohoku Region
- 10.5.1 Overview
- 10.5.2 Historical and Current Market Trends (2020-2025)
- 10.5.3 Market Breakup by Offering
- 10.5.4 Market Breakup by Technology
- 10.5.5 Market Breakup by Application
- 10.5.6 Market Breakup by End User
- 10.5.7 Key Players
- 10.5.8 Market Forecast (2026-2034)
10.6 Chugoku Region
- 10.6.1 Overview
- 10.6.2 Historical and Current Market Trends (2020-2025)
- 10.6.3 Market Breakup by Offering
- 10.6.4 Market Breakup by Technology
- 10.6.5 Market Breakup by Application
- 10.6.6 Market Breakup by End User
- 10.6.7 Key Players
- 10.6.8 Market Forecast (2026-2034)
10.7 Hokkaido Region
- 10.7.1 Overview
- 10.7.2 Historical and Current Market Trends (2020-2025)
- 10.7.3 Market Breakup by Offering
- 10.7.4 Market Breakup by Technology
- 10.7.5 Market Breakup by Application
- 10.7.6 Market Breakup by End User
- 10.7.7 Key Players
- 10.7.8 Market Forecast (2026-2034)
10.8 Shikoku Region
- 10.8.1 Overview
- 10.8.2 Historical and Current Market Trends (2020-2025)
- 10.8.3 Market Breakup by Offering
- 10.8.4 Market Breakup by Technology
- 10.8.5 Market Breakup by Application
- 10.8.6 Market Breakup by End User
- 10.8.7 Key Players
- 10.8.8 Market Forecast (2026-2034)

11 Japan Artificial Intelligence in Healthcare 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 Artificial Intelligence in Healthcare 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