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市場調查報告書

全球醫療部門的巨量資料的投資:2015∼2019年

Global Big Data Spending in Healthcare Industry 2015-2019

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 338867
出版日期 內容資訊 英文 75 Pages
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全球醫療部門的巨量資料的投資:2015∼2019年 Global Big Data Spending in Healthcare Industry 2015-2019
出版日期: 2015年09月02日 內容資訊: 英文 75 Pages
簡介

預計全球醫療部門的巨量資料的投資額從2014年到2019年以42%的年複合成長率擴大。

本報告提供全球醫療部門的巨量資料的投資趨勢的相關調查、市場概要與主要供應商提供的產品、市場整體及各類別、地區的投資額的變化與預測、市場成長的各種影響因素分析、競爭環境、主要供應商簡介等彙整資料。

第1章 摘要整理

第2章 調查範圍

  • 市場概要
  • 主要供應商的產品

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

  • 焦點

第5章 市場環境

  • 市場概要
  • 市場規模、預測
  • 波特的五力分析

第6章 各類別市場

  • 全球醫療部門的巨量資料投資:各類別
  • 服務
  • 軟體
  • 硬體設備

第7章 地區分析

  • 全球醫療部門的巨量資料投資:各地區
  • 南北美洲
  • 歐洲、中東、非洲
  • 亞太地區

第8章 推動市場的要素

第9章 推動市場要素的影響

第10章 市場課題

第11章 促進要素與課題的影響

第12章 市場趨勢

第13章 供應商環境

  • 競爭模式
  • 主要供應商
  • 其他的有力供應商

第14章 主要供應商分析

  • Dell
  • HP
  • IBM
  • SAP

第15章 附錄

第16章 關於Technavio

圖表

目錄
Product Code: IRTNTR7023

About big data in healthcare

Big data in the healthcare industry refers to a large and complex electronic health data that is difficult to manage with conventional software or hardware or data management tools. Big data in the healthcare industry is tremendous because of its volume, variety, and velocity required to manage it. This includes a wide variety of data ranging from patient data in electronic medical records, clinical data, data from sensors monitoring vital signs, emergency care data to news feeds. Also, it includes social media data from Facebook, Twitter, and blogs, and data from clinical decision support systems such as medical imaging, pharmacy, lab, prescriptions, and insurance. Big data in the healthcare industry is gaining traction to improve the quality of healthcare services. It also supports a wide range of healthcare functions such as disease surveillance, clinical decision support, and population health management. Also, big data analytics in the healthcare industry helps generate powerful insights about patient health and behavior and hence improve the quality of healthcare at lower costs.

Technavio's analysts forecast the global big data spending in the healthcare industry to grow at a CAGR of 42% over the period 2014-2019.

Covered in this report

The report covers the current scenario and the growth prospects of the global big data spending in the healthcare industry for the period of 2015-2019. To calculate the market size, the report considers revenue generated as a result of big data spending in the healthcare industry.

The market is segmented into the following based on category:

  • Hardware
  • Software
  • Services

Technavio's report, Global Big Data Spending in Healthcare Industry 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, APAC, and EMEA; it also covers the landscape of the global big data spending in the healthcare industry and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.

Key regions

  • Americas
  • APAC
  • EMEA

Key vendors

  • Dell
  • HP
  • IBM
  • SAP

Other Prominent Vendors

  • Accenture
  • Amazon Web Services
  • CareFusion
  • Cerner
  • Cognizant Technology
  • Epic Systems
  • Explorys
  • EMC
  • GNS Healthcare
  • Google
  • Humedica
  • InterSystems
  • McKesson
  • Microsoft
  • NTT Data
  • Oracle
  • Palantir
  • Philips Healthcare
  • PwC
  • SAS Institute
  • Siemens
  • Sogeti Healthcare
  • Teradata
  • UnitedHealth Group

Key market driver

  • Growing demand for better patient care and cost reductions
  • For a full, detailed list, view our report

Key market challenge

  • Increased complexity and cost of big data adoption
  • For a full, detailed list, view our report

Key market trend

  • Growing application of mobile technology
  • For a full, detailed list, view our report

Key questions answered in this report

  • What will the market size be in 2019 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

Table of Contents

PART 01: Executive summary

  • Highlights

PART 02: Scope of the report

  • Market overview
  • Top-vendor offerings

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights

PART 05: Market landscape

  • Market overview
  • Market size and forecast
  • Five forces analysis

PART 06: Market segmentation by category

  • Global big data spending in the healthcare industry by category
  • Services
  • Software
  • Hardware

PART 07: Geographical segmentation

  • Global big data spending in the healthcare industry by geographical segmentation
  • The Americas
  • EMEA
  • APAC

PART 08: Market drivers

PART 09: Impact of drivers

PART 10: Market challenges

PART 11: Impact of drivers and challenges

PART 12: Market trends

PART 13: Vendor landscape

  • Competitive scenario
  • Major vendors
  • Other prominent vendors

PART 14: Key vendor analysis

  • Dell
  • HP
  • IBM
  • SAP

PART 15: Appendix

  • List of abbreviations

PART 16: Explore Technavio

List of Exhibits

  • Exhibit 01: Product/solution offerings
  • Exhibit 02: Global big data spending in the healthcare industry: Category overview
  • Exhibit 03: Global big data spending in the healthcare industry 2014-2019 ($ billions)
  • Exhibit 04: Five forces analysis
  • Exhibit 05: Segmentation of global big data spending in the healthcare industry by category 2014
  • Exhibit 06: Segmentation of big data spending in the healthcare industry by category 2014-2019
  • Exhibit 07: Global big data spending in the healthcare industry on services 2014-2019 ($ billions)
  • Exhibit 08: Global big data spending in the healthcare industry on software 2014-2019 ($ billions)
  • Exhibit 09: Global big data spending in the healthcare industry on hardware 2014-2019 ($ billions)
  • Exhibit 10: Global big data spending in the healthcare industry by geographical segmentation 2014
  • Exhibit 11: Impact of drivers
  • Exhibit 12: Impact of drivers and challenges
  • Exhibit 13: HP: Business segmentation
  • Exhibit 14: SAP: Business segmentation by revenue 2014
  • Exhibit 15: SAP: Business/product segmentation by revenue 2013 and 2014
  • Exhibit 16: SAP: Geographical segmentation by revenue 2014
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