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封面
市场调查报告书
商品编码
1905297

日本医疗保健云端运算市场报告（按服务模式、云端部署模式、应用程式、最终用户和地区划分，2026-2034 年）

Japan Healthcare Cloud Computing Market Report by Service Model, Cloud Deployment Model, Application, End User, and Region 2026-2034
出版日期: | 出版商: IMARC | 英文 117 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2025年，日本医疗保健云端运算市场规模达25亿美元。展望未来， IMARC Group预计到2034年，该市场规模将达到63亿美元，2026年至2034年间的复合年增长率（CAGR）为10.51%。推动市场成长的主要因素是云端平台的日益普及，这些平台使医疗服务提供者能够安全地存取患者资讯并提供远距医疗服务，从而改善患者预后并提高医疗服务的可近性。

本报告解答的关键问题：

  • 日本医疗保健云端运算市场目前的表现如何？未来几年又将如何发展？
  • 新冠疫情对日本医疗云端运算市场产生了哪些影响？
  • 日本医疗云端运算市场按服务模式分類的组成是怎样的？
  • 日本医疗保健云端运算市场按云端部署模式分類的组成是怎样的？
  • 日本医疗保健云端运算市场按应用领域分類的组成是怎样的？
  • 日本医疗保健云端运算市场以最终用户分類的组成是怎样的？
  • 日本医疗云端运算市场价值链的各个阶段有哪些？
  • 日本医疗云端运算的关键驱动因素和挑战是什么？
  • 日本医疗云端运算市场的结构是怎么样的？主要参与者有哪些？
  • 日本医疗云端运算市场的竞争程度如何？

目录

第一章：序言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 数据来源
  • 市场估算
  • 预测方法

第三章：执行概要

第四章：日本医疗保健云端运算市场－简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章：日本医疗保健云端运算市场概况

  • 历史及当前市场趋势（2020-2025）
  • 市场预测（2026-2034）

第六章：日本医疗保健云端运算市场－依服务模式划分

  • 软体即服务
  • 基础设施即服务
  • 平台即服务

第七章：日本医疗保健云端运算市场－按云端部署模式划分

  • 私有云端
  • 公共云端
  • 混合云端

第八章：日本医疗保健云端运算市场－按应用领域细分

  • 临床资讯系统
  • 非临床资讯系统

第九章：日本医疗保健云端运算市场－以最终用户划分

  • 医疗保健提供者
  • 医疗保健支付方

第十章：日本医疗保健云端运算市场－按地区划分

  • 关东地区
  • 关西/近畿地区
  • 中部/中部地区
  • 九州·冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

第十一章：日本医疗保健云端运算市场—竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争格局分析
  • 公司评估象限

第十二章：关键参与者简介

第十三章：日本医疗保健云端运算市场—产业分析

  • 驱动因素、限制因素和机会
  • 波特五力分析
  • 价值链分析

第十四章：附录

简介目录
Product Code: SR112026A19915

Japan healthcare cloud computing market size reached USD 2.5 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 6.3 Billion by 2034, exhibiting a growth rate (CAGR) of 10.51% during 2026-2034. The increasing utilization of cloud-based platforms, which enable healthcare providers to securely access patient information and provide remote healthcare services, thereby improving patient outcomes and accessibility to care, is driving the market.

Healthcare cloud computing refers to the utilization of cloud-based services and platforms in the healthcare industry to store, manage, and analyze health-related data and information. It enables healthcare providers, such as hospitals, clinics, and medical practitioners, to access and share patient records, medical images, and other critical data securely and efficiently. Healthcare cloud computing offers scalable and cost-effective solutions, facilitating the seamless integration of various healthcare applications and services. It allows for the rapid deployment of new healthcare technologies, such as telemedicine and remote patient monitoring, enhancing the delivery of healthcare services and promoting better patient outcomes. Moreover, it ensures data security and compliance with healthcare regulations, mitigating the risks associated with data breaches and unauthorized access. By leveraging cloud computing, the healthcare industry can improve operational efficiency, promote collaboration among healthcare professionals, and ultimately enhance the overall quality of patient care.

Japan Healthcare Cloud Computing Market Trends:

The healthcare cloud computing market in Japan is burgeoning, primarily driven by several key factors. Firstly, the ever-increasing demand for cost-effective and efficient healthcare services has paved the way for the adoption of cloud computing solutions. Additionally, the rapid advancements in technology, such as the integration of artificial intelligence and big data analytics, have spurred the demand for scalable and flexible cloud-based infrastructures in the healthcare sector. Moreover, the need for secure storage and management of massive volumes of patient data, including electronic health records and medical imaging, has propelled the migration towards cloud-based platforms. Furthermore, the heightened focus on interoperability and seamless data exchange among healthcare providers has intensified the implementation of cloud solutions to facilitate streamlined collaboration and communication. Notably, the emergence of telemedicine and remote patient monitoring as integral components of modern healthcare has further catalyzed the growth of the healthcare cloud computing market in Japan, enabling remote access to critical medical information and facilitating real-time patient care delivery.

Japan Healthcare Cloud Computing Market Segmentation:

Service Model Insights:

  • Software as a Service
  • Infrastructure as a Service
  • Platform as a Service

Cloud Deployment Model Insights:

  • Private Cloud
  • Public Cloud
  • Hybrid Cloud

Application Insights:

  • Clinical Information System
    • Computerized Physician Order Entry
    • Electronic Medical Records
    • Radiology Information System
    • Pharmacy Information System
    • Others
  • Non-Clinical Information System
    • Automatic Patient Billing
    • Revenue Cycle Management
    • Claims Management
    • Others

End User Insights:

  • Healthcare Providers
  • Healthcare Payers

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 healthcare cloud computing market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan healthcare cloud computing market?
  • What is the breakup of the Japan healthcare cloud computing market on the basis of service model?
  • What is the breakup of the Japan healthcare cloud computing market on the basis of cloud deployment model?
  • What is the breakup of the Japan healthcare cloud computing market on the basis of application?
  • What is the breakup of the Japan healthcare cloud computing market on the basis of end user?
  • What are the various stages in the value chain of the Japan healthcare cloud computing market?
  • What are the key driving factors and challenges in the Japan healthcare cloud computing?
  • What is the structure of the Japan healthcare cloud computing market and who are the key players?
  • What is the degree of competition in the Japan healthcare cloud computing 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 Healthcare Cloud Computing Market - Introduction

  • 4.1 Overview
  • 4.2 Market Dynamics
  • 4.3 Industry Trends
  • 4.4 Competitive Intelligence

5 Japan Healthcare Cloud Computing Market Landscape

  • 5.1 Historical and Current Market Trends (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Healthcare Cloud Computing Market - Breakup by Service Model

  • 6.1 Software as a Service
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Infrastructure as a Service
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)
  • 6.3 Platform as a Service
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2020-2025)
    • 6.3.3 Market Forecast (2026-2034)

7 Japan Healthcare Cloud Computing Market - Breakup by Cloud Deployment Model

  • 7.1 Private Cloud
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 Public Cloud
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)
  • 7.3 Hybrid Cloud
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2020-2025)
    • 7.3.3 Market Forecast (2026-2034)

8 Japan Healthcare Cloud Computing Market - Breakup by Application

  • 8.1 Clinical Information System
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Segmentation
      • 8.1.3.1 Computerized Physician Order Entry
      • 8.1.3.2 Electronic Medical Records
      • 8.1.3.3 Radiology Information System
      • 8.1.3.4 Pharmacy Information System
      • 8.1.3.5 Others
    • 8.1.4 Market Forecast (2026-2034)
  • 8.2 Non-Clinical Information System
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Segmentation
      • 8.2.3.1 Automatic Patient Billing
      • 8.2.3.2 Revenue Cycle Management
      • 8.2.3.3 Claims Management
      • 8.2.3.4 Others
    • 8.2.4 Market Forecast (2026-2034)

9 Japan Healthcare Cloud Computing 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 Healthcare Payers
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Forecast (2026-2034)

10 Japan Healthcare Cloud Computing 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 Service Model
    • 10.1.4 Market Breakup by Cloud Deployment Model
    • 10.1.5 Market Breakup by Application
    • 10.1.6 Market Breakup by End User
    • 10.1.7 Key Players
    • 10.1.8 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 Service Model
    • 10.2.4 Market Breakup by Cloud Deployment Model
    • 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 Service Model
    • 10.3.4 Market Breakup by Cloud Deployment Model
    • 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 Service Model
    • 10.4.4 Market Breakup by Cloud Deployment Model
    • 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 Service Model
    • 10.5.4 Market Breakup by Cloud Deployment Model
    • 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 Service Model
    • 10.6.4 Market Breakup by Cloud Deployment Model
    • 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 Service Model
    • 10.7.4 Market Breakup by Cloud Deployment Model
    • 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 Service Model
    • 10.8.4 Market Breakup by Cloud Deployment Model
    • 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 Healthcare Cloud Computing 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 Services Offered
    • 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 Services Offered
    • 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 Services Offered
    • 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 Services Offered
    • 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 Services Offered
    • 12.5.3 Business Strategies
    • 12.5.4 SWOT Analysis
    • 12.5.5 Major News and Events

13 Japan Healthcare Cloud Computing 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