Cover Image
市場調查報告書

醫療技術領域的雲端市場:各國 (美國·加拿大·印度·中國·日本·英國) 市場,企業簡介,佔有率,趨勢,分析,規模,機會,分類和2015年∼2021年的預測

Global Cloud Market In Healthcare Technologies, Insights, Opportunity Analysis, Market Shares and Forecast 2016 - 2022

出版商 Occams Business Research & Consulting Pvt. Ltd. 商品編碼 345620
出版日期 內容資訊 英文 165 Pages
商品交期: 請詢問到貨日
價格
Back to Top
醫療技術領域的雲端市場:各國 (美國·加拿大·印度·中國·日本·英國) 市場,企業簡介,佔有率,趨勢,分析,規模,機會,分類和2015年∼2021年的預測 Global Cloud Market In Healthcare Technologies, Insights, Opportunity Analysis, Market Shares and Forecast 2016 - 2022
出版日期: 2016年02月22日 內容資訊: 英文 165 Pages
簡介

消費者已習於網絡和行動等裝置,在醫療方面也希望得到即時的線上資訊及產品,以及服務。傳統的IT系統難以解決這個課題。一般認為雲端企業可活用於醫療領域上這樣的市場機會。此外醫療機關可透過引進雲端、整合化來提升醫療業務上的機動性、配合消費者需求並致力於發展患者照護。

本報告涵括醫療領域雲端的全球市場,依各種角度概括性驗証推動市場成長要素,阻礙因素,課題,市場機會,市場競爭情形等,提供現行市場分析與到2021年前的市場預測,市場雲端可以各商用領域,各引進模式,服務模式,以及各地區市場,各主要國家加以分類,闡明詳細的市場分析與未來預測。

第1章 市場預算手法

第2章 摘要整理

第3章 市場概要

  • 市場定義
  • 重要的調查結果
    • 醫療保健從一般用轉朝個人用方向發展
    • 醫療IT的投資劇增
    • SaaS型的雲端服務急速擴大
    • 醫療的全球混合·雲端掌握未來
    • 由於穿戴式設備市場成長,醫療領域擴大採用雲端
    • HITaaS (醫療IT as a Service)的需求今後將高漲
  • 主要的購買標準
    • 遵守政府法規
    • 有助於財務成本
    • 隱私及安全相關的疑慮
    • 資料的儲存容量的條件
    • 服務供應商的穩定性
  • 終端用戶分析
  • 法律規章遵守
    • 美國
    • 歐洲
  • 醫療用雲端的革新
    • 健康的行動相關實際·Reality mining及社群網路
    • 老年人的居家護理
    • 感情感測器
    • Philips的健康套件·數位化基礎
    • Athenahealth的創新的EHR (電子健康記錄)計劃

第4章 產業部門分析

  • 雲端運算

第5章 市場競爭情形

  • 市場佔有率分析
  • 主要市場策略
    • 透過企業聯盟擴大醫療用雲端市場
    • 藉由革新促進醫療用雲端市場成長
    • 藉由新產品的投入促進企業的成長
    • 醫療用雲端的地區市場擴張
    • 合作關係到更佳的服務和利益

第6章 市場決策因素

  • 推動市場成長要素
    • 醫療IT帶來雲端運算模式的轉變
    • 醫療領域的商務上機敏性
    • 從醫院到家庭醫療保健的轉變
    • 能積蓄巨量資料的醫療機關重要性
    • 政府為了推廣新技術引進的獎勵策略
    • 醫療IT投資劇增
  • 阻礙市場成長要素
    • 安全風險
    • 法律規章的障礙
    • 倫理問題
  • 市場機會
    • 雲端企業發現醫療用雲端巨大的未來性
    • 虛擬·整合
    • 個人化的醫療小工具
    • 保險業者為了調查客戶詳細資訊活用醫療雲端
  • 市場課題
    • 資料的固定化
    • 數據傳送的瓶頸

第7章 醫療用雲端的各商用領域市場分類

  • 臨床資訊系統
  • EHR市場
    • EHR供應商
    • 對EHR的雲端引進推動因素
    • 電子病歷設備 (EMR)
  • 臨床檢驗資訊系統 (LIS)
    • 臨床檢驗資訊系統 (LIS)的雲端優點
    • 地區市場分析
    • 法律規章的控制
    • 標準化
  • 藥局資訊系統 (PIS)
  • 影像儲存及通信系統 (PACS)
  • 雲端基礎的生物資訊學市場

第8章 就各引進模式來看的醫療用雲端市場

  • 公共雲端
    • 公共雲端的引進推動因素
    • 公共雲端的引進阻礙因素
  • 私有雲端
    • 醫療領域的私有雲端引進推動因素
  • 混合雲端

第9章 以服務模式來看的醫療用雲端市場

  • SaaS (Software as a Service)
    • 醫療領域的SaaS採用推動因素
    • SaaS引進的課題
    • 地區市場分析
  • PaaS (Platform as a Service)
    • 醫療領域的PaaS採用推動因素
  • IaaS (Infrastructure as a Service)
    • 醫療領域的IaaS採用推動因素

第10章 地區市場分析

  • 地區以及各國成長度參數
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 歐洲的雲端標準
    • 英國
    • 德國
    • 法國
    • 義大利
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 泰國
    • 其他
  • 其他地區

第11章 主要企業簡介

  • Salesforce.com
    • 概要
    • 產品系列
    • 收益分析
    • 策略性動向
    • SCOT分析
    • 策略性分析
  • Amazon Web Services
  • Microsoft
  • Oracle
  • Rackspace
  • Qualcomm Life
  • SAP AG
  • IBM
  • AT&T
  • Akamai
  • Verizon

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: HHE-450814

Healthcare sector is one of the most dynamic sectors. Healthcare companies are looking to integrate and adopt IT to achieve greater business agility by increasing adaptability and achieving cost efficiency to enable focus on consumer needs and patient care. As consumers become tech savvy they demand a higher level of interaction - such as instant online access to information, products and services through their desktops and mobile devices. However, the traditional IT systems are struggling to meet these challenges and increase system effectiveness. Cloud companies can exploit these opportunities in the healthcare sector. For instance, a recent development is cloud-based medical imaging and information management solutions that enable healthcare professionals to view and interpret patient images such as X-rays, CT scans, and MRI scans simultaneously. This significantly reduces the long-term technology cost and increases the speed of patient care management.

  • 1. Microsoft
  • 2. Qualcomm Life
  • 3. Rackspace
  • 4. Salesforce Inc.
  • 5. Verizon
  • 6. AT &T
  • 7. Amazon Web Services
  • 8. Oracle
  • 9. IBM
  • 10. SAP AG
  • 11. Akamai

This Occams Research Report covers

  • 1. Historical data
  • 2. Revenue forecasts, growth rates and CAGR upto 2021
  • 3. Industry Analysis
  • 4. Competitive Analysis
  • 5. Key geographic growth data
  • 6. Deep profiles top competitive companies

Table of Contents

This Occams Research Report covers

  • 1. Historical data
  • 2. Revenue forecasts, growth rates and CAGR upto 2022
  • 3. Industry Analysis
  • 4. Competitive Analysis
  • 5. Key geographic growth data
  • 6. Deep profiles top competitive companies

Table of Contents

Chap 1. Market Estimation Methodology

Chap 2. Executive Summary

Chap 3. Market Overview

  • 3.1. Market Definitions
  • 3.2. Key Findings
    • 3.2.1. Healthcare is shifting from general to personal
    • 3.2.2. Investments to soar in healthcare IT
    • 3.2.3. SaaS-based cloud services are soaring
    • 3.2.4. Hybrid cloud is the future in healthcare
    • 3.2.5. Growing Wearable devices market drive the adoption of cloud in healthcare
    • 3.2.6. Healthcare IT as a Service (HITaaS) will be in more demand
  • 3.3. Key Buying Criteria
    • 3.3.1. Compliance with government regulations
    • 3.3.2. Cost contribution to finance
    • 3.3.3. Privacy and security concerns
    • 3.3.4. Requirement of data storage capacity
    • 3.3.5. Stability of service provider
  • 3.4. End-user analysis
  • 3.5. Regulatory Compliance
    • 3.5.1. US
      • 3.5.1.1. HIPPA Act -1996
      • 3.5.1.2. HITECH Act
      • 3.5.1.3. Patient Protection act
    • 3.5.2. Europe
  • 3.6. Innovations in cloud healthcare: 41
    • 3.6.1. Reality mining and social networking for healthy behavior:
    • 3.6.2. Home care for elderly people
    • 3.6.3. Emotion sensors
    • 3.6.4. Philips' health suite digital platform:
    • 3.6.5. Athenahealth's innovative EHR programs:

Chap 4. Sector Analysis

  • 4.1. Cloud Computing

Chap 5. Competitive Landscape

  • 5.1. Market share analysis
  • 5.2. Key Market Strategies
    • 5.2.1. Partnerships enable the cloud healthcare market to expand:
    • 5.2.2. Innovation fueling growth in cloud healthcare
    • 5.2.3. Product launch enables the company to grow
    • 5.2.4. Geographic expansion in cloud healthcare
    • 5.2.5. Collaboration leads to better services and benefits

Chap 6. Market Determinants

  • 6.1. Market Drivers
    • 6.1.1. Cloud computing a paradigm shift in healthcare IT
    • 6.1.2. Business agility in healthcare segment
    • 6.1.3. Shift of healthcare from clinic to home
    • 6.1.4. Need for healthcare organizations to store big data
    • 6.1.5. Government incentives to raise adoption of new technologies
    • 6.1.6. Healthcare IT investments are soaring
  • 6.2. Market Restraints
    • 6.2.1. Security Risks
    • 6.2.2. Legal Barriers
    • 6.2.3. Ethical Issues
  • 6.3. Market Opportunities
    • 6.3.1. Cloud companies seeing huge potential in healthcare cloud
    • 6.3.2. Virtual Integration
    • 6.3.3. Personalized healthcare gadgets
    • 6.3.4. Insurers to leverage healthcare cloud for tracking client details
  • 6.4. Market Challenges
    • 6.4.1. Data lock-in
    • 6.4.2. Data transfer bottlenecks

Chap 7. Market Segmentation by Healthcare Applications of Cloud

  • 7.1. Clinical information system
  • 7.2. EHR Market
    • 7.2.1. EHR Vendors
    • 7.2.2. Drivers for adoption of cloud in EHR
      • 7.2.2.1. Government support for EHR adoption
      • 7.2.2.2. Better quality and patient care
      • 7.2.2.3. Effective management of patient data
    • 7.2.3. Electronic Medical Recorder (EMR)
  • 7.3. Laboratory Information System (LIS)
    • 7.3.1. Benefits of cloud in Laboratory Information System(LIS)
      • 7.3.1.1. Cost effectiveness
      • 7.3.1.2. Effective data sharing
      • 7.3.1.3. Improved patient outcomes
    • 7.3.2. Regional Analysis
    • 7.3.3. Regulatory control
    • 7.3.4. Standardization
  • 7.4. Pharmacy information System (PIS)
  • 7.5. Picture archiving and communication system (PACS)
  • 7.6. Cloud-based bioinformatics market

Chap 8. Cloud-based healthcare application market by deployment model

  • 8.1. Public Cloud
    • 8.1.1. Drivers of Public Cloud
      • 8.1.1.1. Improved efficiency at lower cost
      • 8.1.1.2. Increasing awareness for personal healthcare
    • 8.1.2. Restraints of Public Cloud
      • 8.1.2.1. Slower adoption due to security and privacy concerns
      • 8.1.2.2. Slow speed may interrupt clinical workflow
  • 8.2. Private Cloud
    • 8.2.1. Drivers of private cloud in healthcare
      • 8.2.1.1. Low capital cost
      • 8.2.1.2. Internal control provides better security
  • 8.3. Hybrid Cloud

Chap 9. Cloud Healthcare Market Segmentation by Service Models

  • 9.1. Software as a Service (SaaS)
    • 9.1.1. Drivers of SaaS in healthcare
      • 9.1.1.1. Lower cost of SaaS ownership
      • 9.1.1.2. SaaS scalability allows efficient use of resources
    • 9.1.2. Challenges in SaaS adoption
      • 9.1.2.1. Data security and regulatory issues
      • 9.1.2.2. Limited access control
    • 9.1.3. Regional Analysis
  • 9.2. Platform-as-a-Service (PaaS)
    • 9.2.1. Drivers of PaaS in healthcare
      • 9.2.1.1. Better security to comply with tough industry regulation
      • 9.2.1.2. Provides benefits of SaaS along with lesser implementation time
  • 9.3. Infrastructure-as-a-Service (IaaS)
    • 9.3.1. Drivers of IaaS in healthcare
      • 9.3.1.1. Cost-effective solution to comply with hospital's IT budgets

Chap 10. Geography Analysis

  • 10.1. North America
    • 10.1.1. The U.S.
      • 10.1.1.1. Government Regulations
    • 10.1.2. Canada
  • 10.2. Europe
    • 10.2.1. European Cloud Standards
    • 10.2.2. The UK
      • 10.2.2.1. Drivers
    • 10.2.3. Germany
      • 10.2.3.1. Driver: Increasing adoption rate
      • 10.2.3.2. Restraints: Complex government regulations
      • 10.2.3.3. Government regulations
    • 10.2.4. France
    • 10.2.5. Italy
  • 10.3. Asia Pacific (APAC)
    • 10.3.1. China
      • 10.3.1.1. Drivers
      • 10.3.1.2. Restraints
    • 10.3.2. Japan
      • 10.3.2.1. Drivers
    • 10.3.3. India
      • 10.3.3.1. Drivers
      • 10.3.3.2. Restraints
    • 10.3.4. Thailand
    • 10.3.5. Others
      • 10.3.5.1. Australia
    • 10.3.6. RoW

Chap 11. Corporate Profiling

  • 11.1. Salesforce.com
    • 11.1.1. Overview
    • 11.1.2. Product Portfolio of Salesforce.com 127
    • 11.1.3. Revenue Analysis
    • 11.1.4. Strategic Moves
    • 11.1.5. SCOT Analysis
    • 11.1.6. Strategic Analysis
  • 11.2. Amazon Web Services
    • 11.2.1. Overview
    • 11.2.2. Product Portfolio
    • 11.2.3. Revenue Analysis
    • 11.2.4. Strategic Moves
    • 11.2.5. SCOT Analysis
    • 11.2.6. Strategic Analysis
  • 11.3. Microsoft
    • 11.3.1. Overview
    • 11.3.2. Product Portfolio
    • 11.3.3. Strategic Moves
    • 11.3.4. SCOT Analysis
    • 11.3.5. Strategic Analysis
  • 11.4. Oracle
    • 11.4.1. Overview
    • 11.4.2. Product Portfolio
    • 11.4.3. Revenue Analysis
    • 11.4.4. Strategic Moves
    • 11.4.5. SCOT Analysis
    • 11.4.6. Strategic Analysis
  • 11.5. Rackspace
    • 11.5.1. Overview
    • 11.5.2. Product Portfolio
    • 11.5.3. Revenue Analysis
    • 11.5.4. Strategic Moves
    • 11.5.5. SCOT Analysis
  • 11.6. Qualcomm Life
    • 11.6.1. Overview
    • 11.6.2. Product Portfolio
    • 11.6.3. Revenue Analysis
    • 11.6.4. Strategic Moves
    • 11.6.5. SCOT Analysis
    • 11.6.6. Strategic Analysis
  • 11.7. SAP AG
    • 11.7.1. Overview
    • 11.7.2. Product Portfolio
    • 11.7.3. Revenue Analysis
    • 11.7.4. Strategic Moves
    • 11.7.5. SCOT Analysis
    • 11.7.6. Strategic Analysis
  • 11.8. IBM
    • 11.8.1. Overview
    • 11.8.2. Revenue Analysis
    • 11.8.3. Strategic Moves
    • 11.8.4. SCOT Analysis
  • 11.9. AT & T
    • 11.9.1. Overview
    • 11.9.2. Product Portfolio
    • 11.9.3. Strategic Moves
    • 11.9.4. SCOT Analysis
    • 11.9.5. Strategic Analysis
  • 11.10. Akamai
    • 11.10.1. Overview
    • 11.10.2. Product Portfolio
    • 11.10.3. Revenue Analysis
    • 11.10.4. Strategic Moves
    • 11.10.5. SCOT Analysis
  • 11.11. Verizon
    • 11.11.1. Overview
    • 11.11.2. Product Portfolio
    • 11.11.3. Strategic Moves
    • 11.11.4. SCOT Analysis
    • 11.11.5. Strategic Analysis
Back to Top