Cover Image
市場調查報告書

醫療的巨量資料分析市場解決方案(軟體,服務),引進模式(內部部署,雲端),終端用戶(醫院·診所,金融·保險代理店,調查機關)的市場機會分析與預測

Big Data Analytics in Healthcare Market By Solution (Software, Service), Deployment (On-premise, Cloud), End User (Hospitals & Clinics, Finance & Insurance Agencies, Research Organization) - Global Opportunity Analysis and Industry Forecast, 2016-2023

出版商 Allied Market Research 商品編碼 529346
出版日期 內容資訊 英文 123 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
醫療的巨量資料分析市場解決方案(軟體,服務),引進模式(內部部署,雲端),終端用戶(醫院·診所,金融·保險代理店,調查機關)的市場機會分析與預測 Big Data Analytics in Healthcare Market By Solution (Software, Service), Deployment (On-premise, Cloud), End User (Hospitals & Clinics, Finance & Insurance Agencies, Research Organization) - Global Opportunity Analysis and Industry Forecast, 2016-2023
出版日期: 2017年06月01日 內容資訊: 英文 123 Pages
簡介

本報告網羅醫療的巨量資料分析市場的各解決方案,各引進模式,各終端用戶,各地區分析,及主要供應商簡介等資訊。

第1章 簡介

  • 報告的概要
  • 主要的優點
  • 調查手法

第2章 摘要整理

  • CXO的見解

第3章 市場概要

  • 調查定義和範圍
  • 主要調查結果
    • 主要的勝利策略
    • 主要的投資源
    • 主要的影響因素
  • 波特的五力分析
  • 企業的地位
  • 市場動態
    • 促進要素
    • 抑制因素
    • 市場機會

第4章 醫療的巨量資料分析的全球市場分析:各解決方案

  • 概要
  • 軟體
    • 主要的市場趨勢
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 服務

第5章 醫療的巨量資料分析的全球市場分析:各引進模式

  • 概要
  • 內部部署
  • 雲端

第6章 醫療的巨量資料分析的全球市場分析:各終端用戶

  • 概要
  • 醫院·診所
  • 金融·保險代理店
  • 調查機關

第7章 醫療的巨量資料分析的全球市場分析:各地區

  • 概要
  • 北美
  • 歐洲
  • 亞太地區
  • 南美·中東·非洲

第8章 企業簡介

目錄
Product Code: IC 172308

Big data analytics in healthcare is an analytic solution that derives insights on patient information and improves treatment techniques by enabling evidence-based disease prevention modeling and diagnostic analysis. The key players, such as IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., and others, provide analytic solutions for healthcare end users through innovative analytical solutions such as finance & risk management, population health management, biometric analysis, value-based analytics, and others. In addition, big data analytics optimizes process-oriented expenditures in the healthcare industry by improving the population health, integrating performance modeling with financial and predictive care monitoring, and others. In the recent past, big data analytics in healthcare has changed the business and operation process of end users including hospitals & clinics, insurance agencies, and research organizations by providing solutions on workforce planning, performance management, and patient cost analysis, which in turn is expected to augment big data analytics adoption in the healthcare domain.

The global big data analytics in healthcare market is expected to witness a high growth rate during the forecast period, owing to a rise in ICT expenditure by governments in several developed and the developing regions including North America, Europe, and Asia-Pacific. In addition, surge in digitalization of medical procedures and demand for analytic solutions to derive patient-centric insights on treatment procedures are anticipated to fuel the big data analytics in healthcare market growth. However, security concerns over patient information among end users and slow adoption of healthcare analytic solutions in the underdeveloped regions, including Latin America and Africa, obstruct the big data analytics in healthcare market growth.

The global big data analytics in healthcare market is segmented based on solution, deployment, end user, and geography. Based on solution, it is categorized into software and service. Considering deployment, it is bifurcated into on-premise and cloud deployment. Based on end user, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA. North America is expected to hold a major share of the market share due to advancements in IoT and increase in the demand for analytical models on patient information for better service delivery.

The key players that operate in the big data analytics in healthcare market include Microsoft Corporation, Oracle Corporation, Cisco Systems Inc., SAS Institute Inc., IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., McKesson Corporation, and Vizient, Inc. These players have adopted strategies such as geographical expansion, mergers & acquisitions, product portfolio expansion, and collaborations to enhance their penetration in the global big data analytics in healthcare market.

KEY BENEFITS FOR STAKEHOLDERS:

  • The report provides an in-depth market analysis of big data analytics in healthcare globally, outlining the current trends, key driving factors, and potential areas for product investments.
  • Key players are analyzed with respect to their primary offerings, recent investments, and future developmental strategies.
  • A holistic approach of segmentation is carried out through an in-depth market study and discussions with several industry experts globally.
  • The report provides highlights of the top investment pockets, key impacting factors, and winning strategies for the global big data analytics in the healthcare market.
  • Market share of the key players is derived from a thorough analysis of respective players' segment revenues and insights from industry leaders through guided discussions.

KEY MARKET SEGMENTS:

BY SOLUTION

  • Software
  • Service

BY DEPLOYMENT

  • On-premise
  • Cloud

BY END USER

  • Hospitals & Clinics
  • Finance & Insurance Agencies
  • Research Organization

BY GEOGRAPHY

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

The key players profiled in the report are as follows:

  • Cisco Systems Inc.
  • Cognizant
  • Health Catalyst
  • IBM Corporation
  • McKesson Corporation
  • MEDEANALYTICS, Inc.
  • Microsoft Corportion
  • Oracle Corporation
  • SAS Institute Inc.
  • Vizient, Inc.

Table of Contents

CHAPTER 1 INTRODUCTION

  • 1.1. REPORT DESCRIPTION
  • 1.2. KEY BENEFITS
  • 1.3. RESEARCH METHODOLOGY
    • 1.3.1. Primary research
    • 1.3.2. Secondary research
    • 1.3.3. Analyst tools and models
    • 1.3.4. Market segmentation

CHAPTER 2 EXECUTIVE SUMMARY

  • 2.1. CXO PERSPECTIVE

CHAPTER 3 MARKET OVERVIEW

  • 3.1. MARKET DEFINITION AND SCOPE
  • 3.2. KEY FINDINGS
    • 3.2.1. Top winning strategies
    • 3.2.2. Top investment pockets
    • 3.2.3. Top impacting factors
      • 3.2.3.1. Surge in the demand for analytics solutions for citizen health management
      • 3.2.3.2. Increase in the adoption of cloud analytics among several end users
      • 3.2.3.3. Growing need for business intelligence to optimize health administration and strategy
      • 3.2.3.4. Lack of IT infrastructure in underdeveloped nations
      • 3.2.3.5. Growing inclination towards cloud-based analytics solutions
  • 3.3. PORTERS FIVE FORCES ANALYSIS
    • 3.3.1. Bargaining power of suppliers
    • 3.3.2. Bargaining power of buyers
    • 3.3.3. Threat of substitutes
    • 3.3.4. Threat of new entrants
    • 3.3.5. Competitive rivalry
  • 3.4. PLAYER POSITIONING
  • 3.5. MARKET DYNAMICS
    • 3.5.1. Drivers
      • 3.5.1.1. Surge in the demand for analytics solutions for citizen health management
      • 3.5.1.2. Increase in adoption of cloud analytics among several end users
      • 3.5.1.3. Growing need for business intelligence to optimize health administration and strategy
      • 3.5.1.4. Growth in IoT adoption across several industry verticals
    • 3.5.2. Restraints
      • 3.5.2.1. Lack of IT infrastructure in underdeveloped nations
    • 3.5.3. Opportunities
      • 3.5.3.1. Growing inclination towards cloud-based analytics solutions
      • 3.5.3.2. Surge in the adoption of big data analytics among user groups

CHAPTER 4 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SOLUTION

  • 4.1. OVERVIEW
  • 4.2. SOFTWARE
    • 4.2.1. Key market trends
    • 4.2.2. Key growth factors and opportunities
    • 4.2.3. Market size and forecast
  • 4.3. SERVICE
    • 4.3.1. Key market trends
    • 4.3.2. Key growth factors and opportunities
    • 4.3.3. Market size and forecast

CHAPTER 5 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT

  • 5.1. OVERVIEW
  • 5.2. ON-PREMISE
    • 5.2.1. Key market trends
    • 5.2.2. Key growth factors and opportunities
    • 5.2.3. Market size and forecast
  • 5.3. CLOUD
    • 5.3.1. Key market trends
    • 5.3.2. Key growth factors and opportunities
    • 5.3.3. Market size and forecast

CHAPTER 6 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER

  • 6.1. OVERVIEW
  • 6.2. HOSPITALS AND CLINICS
    • 6.2.1. Key market trends
    • 6.2.2. Key growth factors and opportunities
    • 6.2.3. Market size and forecast
  • 6.3. FINANCE & INSURANCE AGENCIES
    • 6.3.1. Key market trends
    • 6.3.2. Key growth factors and opportunities
    • 6.3.3. Market size and forecast
  • 6.4. RESEARCH ORGANIZATIONS
    • 6.4.1. Key market trends
    • 6.4.2. Key growth factors and opportunities
    • 6.4.3. Market size and forecast

CHAPTER 7 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY REGION

  • 7.1. OVERVIEW
  • 7.2. NORTH AMERICA
    • 7.2.1. Key trends
    • 7.2.2. Key growth factors and opportunities
    • 7.2.3. Market size and forecast
    • 7.2.4. U.S.
    • 7.2.5. Canada
    • 7.2.6. Mexico
  • 7.3. EUROPE
    • 7.3.1. Key market trends
    • 7.3.2. Key growth factors and opportunities
    • 7.3.3. Market size and forecast
    • 7.3.4. UK
    • 7.3.5. Germany
    • 7.3.6. France
    • 7.3.7. Italy
    • 7.3.8. Rest of Europe
  • 7.4. ASIA-PACIFIC
    • 7.4.1. Key market trends
    • 7.4.2. Key growth factors and opportunities
    • 7.4.3. Market size and forecast
    • 7.4.4. China
    • 7.4.5. Singapore
    • 7.4.6. Japan
    • 7.4.7. Australia
    • 7.4.8. Rest of Asia-Pacific
  • 7.5. LAMEA
    • 7.5.1. Key market trends
    • 7.5.2. Key growth factors and opportunities
    • 7.5.3. Market size and forecast
    • 7.5.4. Latin America
    • 7.5.5. The Middle East
    • 7.5.6. Africa

CHAPTER 8 COMPANY PROFILES

  • 8.1. CISCO SYSTEMS INC.
    • 8.1.1. Company overview
    • 8.1.2. Company snapshot
    • 8.1.3. Operating business segments
    • 8.1.4. Business performance
    • 8.1.5. Key strategic moves & developments
  • 8.2. COGNIZANT
    • 8.2.1. Company overview
    • 8.2.2. Company snapshot
    • 8.2.3. Operating business segments
    • 8.2.4. Business performance
    • 8.2.5. Key strategic moves & developments
  • 8.3. HEALTH CATALYST
    • 8.3.1. Company overview
    • 8.3.2. Company snapshot
    • 8.3.3. Operating business segments
    • 8.3.4. Business performance
    • 8.3.5. Key strategic moves & developments
  • 8.4. IBM CORPORATION
    • 8.4.1. Company overview
    • 8.4.2. Company snapshot
    • 8.4.3. Operating business segments
    • 8.4.4. Business performance
    • 8.4.5. Key strategic moves & developments
  • 8.5. MCKESSON CORPORATION
    • 8.5.1. Company overview
    • 8.5.2. Company snapshot
    • 8.5.3. Operating business segments
    • 8.5.4. Business performance
    • 8.5.5. Key strategic moves & developments
  • 8.6. MEDEANALYTICS, INC.
    • 8.6.1. Company overview
    • 8.6.2. Company snapshot
    • 8.6.3. Operating business segments
    • 8.6.4. Business performance
    • 8.6.5. Key strategic moves & developments
  • 8.7. MICROSOFT CORPORTION
    • 8.7.1. Company overview
    • 8.7.2. Company snapshot
    • 8.7.3. Operating business segments
    • 8.7.4. Business performance
    • 8.7.5. Key strategic moves & developments
  • 8.8. ORACLE CORPORATION
    • 8.8.1. Company overview
    • 8.8.2. Company snapshot
    • 8.8.3. Operating business segments
    • 8.8.4. Business performance
    • 8.8.5. Key strategic moves & developments
  • 8.9. SAS INSTITUTE INC.
    • 8.9.1. Company overview
    • 8.9.2. Company snapshot
    • 8.9.3. Operating business segments
    • 8.9.4. Business performance
    • 8.9.5. Key strategic moves & developments
  • 8.10. VIZIENT, INC.
    • 8.10.1. Company overview
    • 8.10.2. Company snapshot
    • 8.10.3. Operating business segments
    • 8.10.4. Business performance
    • 8.10.5. Key strategic moves & developments

List of Tables

  • TABLE 1. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY SOLUTION, 2016-2023 ($MILLION)
  • TABLE 2. SOFTWARE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 3. SERVICE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 4. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY DEPLOYMENT, 2016-2023 ($MILLION)
  • TABLE 5. ON-PREMISE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 6. CLOUD BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 7. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY END USER, 2016-2023 ($MILLION)
  • TABLE 8. HOSPITALS AND CLINICS BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 9. FINANCE & INSURANCE AGENCIES BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 10. RESEARCH ORGANIZATIONS BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
  • TABLE 11. BIG DATA ANALYTICS IN HEALTHCARE MARKET BY REGION, 2016-2023 ($MILLION)
  • TABLE 12. NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET BY COUNTRY, 2016-2023 ($MILLION)
  • TABLE 13. EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET BY COUNTRY, 2016-2023 ($MILLION)
  • TABLE 14. ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET BY COUNTRY, 2016-2023 ($MILLION)
  • TABLE 15. LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET BY REGION, 2016-2023 ($MILLION)
  • TABLE 16. CISCO SYSTEMS INC.: COMPANY SNAPSHOT
  • TABLE 17. CISCO SYSTEMS INC.: OPERATING SEGMENTS
  • TABLE 18. COGNIZANT: COMPANY SNAPSHOT
  • TABLE 19. COGNIZANT: OPERATING SEGMENTS
  • TABLE 20. HEALTH CATALYST: COMPANY SNAPSHOT
  • TABLE 21. HEALTH CATALYST: OPERATING SEGMENTS
  • TABLE 22. IBM CORPORATION: COMPANY SNAPSHOT
  • TABLE 23. IBM CORPORATION: OPERATING SEGMENTS
  • TABLE 24. MCKESSON CORPORATION: COMPANY SNAPSHOT
  • TABLE 25. MCKESSON CORPORATION: OPERATING SEGMENTS
  • TABLE 26. MEDEANALYTICS, INC.: COMPANY SNAPSHOT
  • TABLE 27. MEDEANALYTICS, INC.: OPERATING SEGMENTS
  • TABLE 28. MICROSOFT CORPORTION: COMPANY SNAPSHOT
  • TABLE 29. MICROSOFT CORPORTION: OPERATING SEGMENTS
  • TABLE 30. ORACLE CORPORATION: COMPANY SNAPSHOT
  • TABLE 31. ORACLE CORPORATION: OPERATING SEGMENTS
  • TABLE 32. SAS INSTITUTE INC.: COMPANY SNAPSHOT
  • TABLE 33. SAS INSTITUTE INC.: OPERATING SEGMENTS
  • TABLE 34. VIZIENT, INC.: COMPANY SNAPSHOT
  • TABLE 35. VIZIENT, INC.: OPERATING SEGMENTS

List of Figures

  • FIGURE 1. MARKET SEGMENTATION: BIG DATA ANALYTICS IN HEALTHCARE MARKET
  • FIGURE 2. TOP WINNING STRATEGIES, 2015-2017 (%)
  • FIGURE 3. TOP WINNING STRATEGIES, 2015-2017
  • FIGURE 4. TOP INVESTMENT POCKETS
  • FIGURE 5. TOP IMPACTING FACTORS
  • FIGURE 6. LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
  • FIGURE 7. MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
  • FIGURE 8. LOW THREAT OF SUBSTITUTES
  • FIGURE 9. HIGH THREAT OF NEW ENTRANTS
  • FIGURE 10. HIGH COMPETITIVE RIVALRY
  • FIGURE 11. PLAYER POSTIONING, 2016
  • FIGURE 12. DRIVERS, RESTRAINTS, AND OPPORTUNITIES
  • FIGURE 13. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SOLUTION
  • FIGURE 14. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT
  • FIGURE 15. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER
  • FIGURE 16. BIG DATA ANALYTICS IN HEALTHCARE MARKET BY REGION, MARKET SHARE AND CAGR
  • FIGURE 17. NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 18. U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 19. CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 20. MEXICO BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 21. EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 22. UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 23. GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 24. FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 25. ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 26. REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 27. ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 28. CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 29. SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 30. JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 31. AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 (MILLION)
  • FIGURE 32. REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 33. LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 34. LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 35. MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 36. AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
  • FIGURE 37. CISCO SYSTEMS INC.: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 38. COGNIZANT: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 39. HEALTH CATALYST: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 40. IBM CORPORATION: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 41. MCKESSON CORPORATION: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 42. MEDEANALYTICS, INC.: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 43. MICROSOFT CORPORTION: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 44. ORACLE CORPORATION: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 45. SAS INSTITUTE INC.: REVENUE, 2014-2016 ($MILLION)
  • FIGURE 46. VIZIENT, INC.: REVENUE, 2014-2016 ($MILLION)
Back to Top