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市場調查報告書
商品編碼
1905297

日本醫療保健雲端運算市場報告（按服務模式、雲端部署模式、應用程式、最終用戶和地區分類，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個工作天內

價格
簡介目錄

2025年，日本醫療保健雲端運算市場規模達25億美元。展望未來， IMARC Group預計到2034年，該市場規模將達到63億美元，2026年至2034年間的複合年成長率（CAGR）為10.51%。推動市場成長的主要因素是雲端平台的日益普及，這些平台使醫療服務提供者能夠安全地存取患者資訊並提供遠距醫療服務，從而改善患者預後並提高醫療服務的可近性。

本報告解答的關鍵問題：

  • 日本醫療保健雲端運算市場目前的表現如何？未來幾年又將如何發展？
  • 新冠疫情對日本醫療雲端運算市場產生了哪些影響？
  • 日本醫療雲端運算市場按服務模式分類的組成是怎樣的？
  • 日本醫療保健雲端運算市場按雲端部署模式分類的組成是怎樣的？
  • 日本醫療保健雲端運算市場按應用領域分類的組成是怎樣的？
  • 日本醫療保健雲端運算市場以最終用戶分類的組成是怎樣的？
  • 日本醫療雲端運算市場價值鏈的各個階段有哪些？
  • 日本醫療雲端運算的關鍵促進因素和挑戰是什麼？
  • 日本醫療雲端運算市場的結構是怎麼樣的？主要參與者有哪些？
  • 日本醫療雲端運算市場的競爭程度如何？

目錄

第1章：序言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 數據來源
  • 市場估算
  • 預測方法

第3章：執行概要

第4章：日本醫療保健雲端運算市場－簡介

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭情報

第5章：日本醫療保健雲端運算市場概況

  • 歷史及當前市場趨勢（2020-2025）
  • 市場預測（2026-2034）

第6章：日本醫療保健雲端運算市場－依服務模式分類

  • 軟體即服務
  • 基礎設施即服務
  • 平台即服務

第7章：日本醫療保健雲端運算市場－按雲端部署模式分類

  • 私有雲端
  • 公共雲端
  • 混合雲端

第8章：日本醫療保健雲端運算市場－按應用領域細分

  • 臨床資訊系統
  • 非臨床資訊系統

第9章：日本醫療保健雲端運算市場－以最終用戶分類

  • 醫療保健提供者
  • 醫療保健支付方

第10章：日本醫療保健雲端運算市場－按地區分類

  • 關東地區
  • 關西/近畿地區
  • 中部/中部地區
  • 九州·沖繩地區
  • 東北部地區
  • 中國地區
  • 北海道地區
  • 四國地區

第11章：日本醫療保健雲端運算市場—競爭格局

  • 概述
  • 市場結構
  • 市場參與者定位
  • 最佳制勝策略
  • 競爭格局分析
  • 公司評估象限

第12章：關鍵參與者簡介

第13章：日本醫療保健雲端運算市場—產業分析

  • 促進因素、限制因素和機遇
  • 波特五力分析
  • 價值鏈分析

第14章：附錄

簡介目錄
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