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日本医疗保健人工智慧市场报告（按产品、技术、应用、最终用户和地区划分，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个工作天内

价格

简介目录

2025年，日本医疗保健人工智慧市场规模达5.453亿美元。展望未来， IMARC Group预计到2034年，该市场规模将达到22.906亿美元，2026年至2034年间的复合年增长率（CAGR）为17.29%。推动市场成长的关键因素包括：对个人化药物需求的不断增长、对远距患者监护服务的日益关注，以及机器学习（ML）方法在有效分析医学影像、识别异常情况和准确预测患者预后方面的持续进步。

本报告解答的关键问题：

日本医疗保健领域的人工智慧市场目前表现如何？未来几年又将如何发展？
日本医疗保健领域人工智慧市场按产品和服务分類的组成是怎样的？
日本医疗保健领域人工智慧市场按技术分類的组成是怎样的？
日本医疗保健领域人工智慧市场按应用领域分類的组成是怎样的？
日本医疗保健领域人工智慧市场按最终用户分類的组成是怎样的？
日本医疗保健人工智慧市场价值链的各个阶段有哪些？
日本医疗保健领域人工智慧发展的关键驱动因素和挑战是什么？
日本医疗保健领域人工智慧市场的结构是怎么样的？主要参与者有哪些？
日本医疗保健领域人工智慧市场的竞争程度如何？

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

14 Appendix

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License/价格

日本医疗保健人工智慧市场报告（按产品、技术、应用、最终用户和地区划分，2026-2034 年）

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

本报告解答的关键问题：

目录

第一章：序言

第二章：范围与方法

第三章：执行概要

第四章：日本医疗保健人工智慧市场——引言

第五章：日本医疗保健人工智慧市场概况

第六章：日本医疗保健人工智慧市场－按产品和服务细分

第七章：日本医疗保健人工智慧市场－按技术细分

第八章：日本医疗保健人工智慧市场－按应用领域细分

第九章：日本医疗保健人工智慧市场－按最终用户划分

第十章：日本医疗保健人工智慧市场－按地区划分

第十一章：日本医疗保健人工智慧市场—竞争格局

第十二章：关键参与者简介

第十三章：日本医疗保健人工智慧市场—产业分析

第十四章：附录