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市场调查报告书

针对医疗的巨量数据的全球市场

Big Data in Global Healthcare Market 2021

出版商 NAVADHI Market Research Pvt Ltd 商品编码 636765
出版日期 内容信息 英文 66 Pages
商品交期: 最快1-2个工作天内
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针对医疗的巨量数据的全球市场 Big Data in Global Healthcare Market 2021
出版日期: 2018年05月04日 内容信息: 英文 66 Pages
简介

本报告提供全球医疗产业的巨量数据的市场相关分析,医疗机关/产业上巨量数据的需求大小、趋势,及巨量数据产业的价值链整体与有关,主要的推动及阻碍市场要素,主要企业的简介,代表性实例,今后的市场机会预测等调查,加上产业相关人员应采取行动相关建议,为您概述为以下内容。

第1章 摘要整理

第2章 医疗产业上巨量数据的需求

  • 事业规模的把握
  • 市场多样性的理解
  • 市场变化的速度的理解
  • 事业报告的正确性的理解
  • 商务价值的实现化

第3章 针对医疗的巨量数据的价值链

第4章 全球针对医疗的巨量数据市场预测

  • 医疗的巨量数据市场预测 (到2021年)
  • 全球各地区的医疗的巨量数据市场
  • 亚太地区市场预测 (到2021年)
  • 北美市场预测 (到2021年)
  • 欧洲市场预测 (到2021年)
  • 南美市场预测 (到2021年)
  • 中东、非洲市场预测 (到2021年)

第5章 全球针对医疗的巨量数据市场:成长促进、阻碍因素

  • 成长促进因素
  • 成长促进因素

第6章 巨量数据市场主要企业的简介

  • Tableau Software
    • 企业简介
    • 巨量数据的价值链的存在
    • 财务成果
    • 事业策略:产品等级/服务水准
    • SWOT分析
    • 主要客户
  • Tata Consultancy Services
  • McKesson Corporation
  • Verisk Analytics

第7章 案例研究

  • John Hopkins Hospital的情况
  • Carolina Healthcare for patient population
  • Beth Israel ICU Care的情况

第8章 分析模式

  • 大环境分析
  • 波特的五力分析
  • SWOT分析

第9章 市场机会

  • 医疗的巨量数据
  • 基因研究的巨量数据
  • 在医疗领域的诈欺检测、管理上的巨量数据
  • 个性化医疗
  • m-医疗保健 (行动医疗)

第10章 建议

  • 对医疗机关/企业
  • 对巨量数据、供应商

第11章 附录

目录
Product Code: NAV0518008

Global big data market in healthcare is facing a major shift from past few years. Dependence on data analysis for operational excellence and improving decision management system has seen a significant raise through time. This industry is on positive lines for growth in future periods.

Global big data market in healthcare is expected to grow at CAGR of 21.67% till 2021. North American market performance with major players establishment and government support, majorly in US is expected to be highest among all markets. Industry trends towards increasing features of advanced technology developments in big data for healthcare.

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This sector offers huge opportunity for firms to grow in future as there is consistent increase in pressure on medical centers and hospitals to improve standards of patient management systems. This acts as driver to rise the need for data analytics implementation for healthcare. Major players have witnessed many challenges which have great impact on volumes and revenue. Strategies made on the basis on pain point areas succeeded and provided results on a positive line. Key players have worked on those strategies to overcome unanticipated effects of big data implementation in healthcare.

The main talking point in the industry is the decrease it had over the past 2 years. This is due to the reason that the many physicians throughout the world are still facing challenges in implementation of big data and relying on these results for decision making. The experts say that the bottom level has been reached and now the industry will flatten out and are showing signs of recovery.

The industry is expected to move with much more growth levels compared to past period. Geographically, things would be different, North America would grow at a rapid pace, considering many top players are centered in US for global operations. South America and Africa is going to show steady growth. Europe is the after North America to stand in terms of growth rate. considering its advancements and policies on healthcare sector.

Scope of the Global Big Data Healthcare Market 2021 Report

  • This report provides a detailed view of Global Big Data in Healthcare market scenario.
  • This report identifies the need for focusing on Big Data in Healthcare Market
  • This report provides detailed information on Global Big Data in Healthcare market with growth forecasts up to 2021.
  • This report also focuses on developing a better understanding of the current state of the Big Data in Healthcare Technology.
  • This study also identifies various policies related Global Big Data in Healthcare market.
  • The report identifies the growth drivers and inhibitors for the global Big Data in Healthcare market.
  • This report profiles four global big data service providers for healthcare market.
  • This report provides market opportunities for the Global Big Data in Healthcare market.
  • This report also provides recommendations for Healthcare firms and big data suppliers.

Table of Contents

1. Executive Summary

  • Scope of the Global Big Data Healthcare Market 2021 Report
  • Research Methodology

2. Need for Big Data in Healthcare Industry

  • 2.1 Tracking business Volume
  • 2.2 Understanding Variety
  • 2.3 Understanding Velocity
  • 2.4 Understanding Veracity of business reporting
  • 2.5 Realizing business Value

3. Big Data in Healthcare Value chain

4. Global Big Data Healthcare Market Forecast till 2021

  • 4.1 Global Big Data Market in healthcare industry till 2021
  • 4.2 Big Data Market in Healthcare Geography Wise
  • 4.3 Asia Pacific Big Data Market in healthcare industry till 2021
  • 4.4 North America Big Data Market in healthcare industry till 2021
  • 4.5 Europe Big Data Market in healthcare industry till 2021
  • 4.6 LASA Big Data Market in healthcare industry till 2021
  • 4.7 MENA Big Data Market in healthcare industry till 2021

5. Growth Drivers & Inhibitors for Big Data in healthcare industry

  • 5.1 Growth Drivers
  • 5.2 Growth Inhibitors

6. Profile of Key Players in Big Data Market

  • 6.1 Tableau Software
    • 6.1.1 Company Profile
    • 6.1.2 Tableau Software in Big Data Value Chain
    • 6.1.3 Financial Performance of Tableau Software
    • 6.1.4 Business Strategy
    • 6.1.4.1 Product Level Business Strategy
    • 6.1.4.2 Service Level Business Strategy
    • 6.1.5 SWOT Analysis for Tableau
    • 6.1.6 Key Customers
  • 6.2 Tata Consultancy Services
    • 6.2.1 Company Profile
    • 6.2.2 TCS in Big Data Market Value Chain
    • 6.2.3 Financial Performance of TCS
    • 6.2.4 Business Strategy
    • 6.2.4.1 Product Level Business Strategy
    • 6.2.4.2 Service Level Business Strategy
    • 6.2.5 SWOT Analysis for TCS
      • Strengths
      • Weaknesses
      • Opportunities
      • Threats
    • 6.2.6 Key Customers
  • 6.3 McKesson Corporation
    • 6.3.1 Company Profile
    • 6.3.2 McKesson in Big Data Value Chain
    • 6.3.3 Financial Performance of McKesson
    • 6.3.4 Business Strategy
    • 6.3.4.1 Product Level Business Strategy
    • 7.3.4.2 Service Level Business Strategy
    • 6.3.5 SWOT Analysis for McKesson
      • Strengths
      • Weaknesses
      • Opportunities
      • Threats
    • 6.3.6 Key Customers
  • 6.4. Verisk Analytics
    • 6.4.1. Company Profile
    • 6.4.2 Verisk in Big Data Value Chain
    • 6.4.3 Financial Performance of Verisk
    • 6.4.4 Business Strategy
    • 6.4.4.1 Product Level Business Strategy
    • 6.4.4.2 Service Level Business Strategy
    • 6.4.5 SWOT Analysis for Verisk
      • Strengths
      • Weaknesses
      • Opportunities
      • Threats
    • 6.4.6 Key Customers

7. Case Study

  • 7.1 Case Study on John Hopkins Hospital
  • 7.2 Case Study on Carolina Healthcare for patient population
  • 7.3 Case Study on Beth Israel ICU Care

8. Analysis Models

  • 8.1 PESTLE Analysis
  • 8.2 Porter's Five Forces
  • 8.3 SWOT Analysis
    • Strengths
    • Weaknesses
    • Opportunities
    • Threats

9. Market Opportunities

  • 9.1 Big Data in healthcare
  • 9.2 Big Data in Genomics Research
  • 9.3 Big Data in Fraud detection and management in healthcare
  • 9.4 Personalized medicine
  • 9.5 m-Healthcare

10. Recommendations

  • 10.1 For Healthcare Firms
  • 10.2 For Big Data Suppliers

11. Appendix

List of Exhibits

  • Notes
  • Company Information
  • Exhibit 3.2 Big Data in healthcare Value Chain
  • Exhibit 4.1 Big Data Market in Healthcare Forecast till 2021
  • Exhibit 4.2.1 Big Data Market in Healthcare Forecast Geography wise
  • Exhibit 4.2.2 Geography wise CAGR
  • Exhibit 4.3 Asia Pacific Market Growth Forecast till 2021
  • Exhibit 4.4 North American Market Growth Forecast till 2021
  • Exhibit 4.5 Europe Market Growth Forecast till 2021
  • Exhibit 4.6 LASA Market Growth Forecast till 2021
  • Exhibit 4.7 MENA Market Growth Forecast till 2021
  • Exhibit 4.3.6 European Market Growth Forecast till 2021
  • Exhibit 4.3.7 Asia Pacific Market Growth Forecast till 2021
  • Exhibit 5.1 Growth Drivers & Inhibitors for Global Healthcare Big Data Market
  • Exhibit 6.1.1 Company Profile - Tableau Software
  • Exhibit 6.1.2 Contact Details - Tableau Software
  • Exhibit 6.1.3 Tableau Software Value Chain
  • Exhibit 6.1.4 Tableau Software from 2011-12 to 2015-16
  • Exhibit 6.1.5 Year-wise Tableau Software Revenue Growth from 2011-12 to 2015-16
  • Exhibit 6.1.6 Estimated Tableau Software in Revenue from 2015-16 to 2020-21
  • Exhibit 6.1.7 Estimated Year-wise Tableau Revenue Growth from 2015-16 to 2020-21
  • Exhibit 6.1.8 Major Products and Services of Tableau Software
  • Exhibit 6.1.9 SWOT Analysis of Tableau
  • Exhibit 6.1.10 List of Key Customers of Tableau Software
  • Exhibit 6.2.1 Company Profile - TCS
  • Exhibit 6.2.2 Contact Details - TCS
  • Exhibit 6.2.3 TCS in Global Big Data Value Chain
  • Exhibit 6.2.4 TCS Revenue from 2013-14 to 2015-16
  • Exhibit 6.2.5 Year-wise TCS Revenue Growth from 2011-12 to 2015-16
  • Exhibit 6.2.6 Estimated TCS in Revenue from 2015-16 to 2020-21
  • Exhibit 6.2.7 Estimated Year-wise TCS Revenue Growth from 2017-18 to 2020-21
  • Exhibit 6.2.8 Major Products and Services of TCS
  • Exhibit 6.2.9 SWOT Analysis of TCS
  • Exhibit 6.3.1 Company Profile - McKesson
  • Exhibit 6.3.2 Contact Details - McKesson
  • Exhibit 6.3.3 McKesson in Big Data Value Chain
  • Exhibit 6.3.4 McKesson Revenue from 2011-12 to 2015-16
  • Exhibit 6.3.5 Year-wise McKesson Revenue Growth from 2011-12 to 2015-16
  • Exhibit 6.3.6 Estimated McKesson Revenue from 2015-16 to 2020-21
  • Exhibit 6.3.7 Estimated Year-wise McKesson Revenue Growth from 2016-17 to 2020-21
  • Exhibit 6.3.8 Major Products and Services of McKesson
  • Exhibit 6.3.9 SWOT Analysis of McKesson
  • Exhibit 6.4.1 Company Profile - Verisk
  • Exhibit 6.4.2 Contact Details - Verisk
  • Exhibit 6.4.3 Verisk in Big Data Value Chain
  • Exhibit 6.4.4 Verisk Revenue from 2011-12 to 2015-16
  • Exhibit 6.4.5 Year-wise Verisk Revenue Growth from 2012-13 to 2015-16
  • Exhibit 6.4.6 Estimated ISEKI Revenue from 2016-17 to 2020-21
  • Exhibit 6.4.7 Estimated Year-wise Verisk Revenue Growth from 2016-17 to 2020-21
  • Exhibit 6.4.8 Major Products and Services of Verisk
  • Exhibit 6.4.9 SWOT Analysis of Verisk
  • Exhibit 6.4.10 List of Key Customers of Verisk
  • Exhibit 8.2 Porter's Five Forces Model
  • Exhibit 8.3 SWOT Analysis for Global Big Data in Healthcare Market

COMPANIES COVERED

  • 1. Tableau Software
  • 2. Tata Consultancy Services
  • 3. McKesson Corporation
  • 4. Verisk Analytics
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