查看购物车
  • Traditional Chinese
  • English
封面
市场调查报告书
商品编码
1469164

医疗保健市场大数据 - 全球产业规模、份额、趋势、机会和预测，按组件、应用、最终用户、地区和竞争细分，2019-2029F

Big Data in Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Application, By End User, By Region and Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 188 Pages | 商品交期: 2-3个工作天内

价格

We offer 8 hour analyst time for an additional research. Please contact us for the details.

简介目录

2023 年，全球医疗保健市场大数据价值为 257.4 亿美元，预计在预测巨量资料将出现令人印象深刻的成长，到 2029 年复合年增长率为 18.21%。复杂性的增加，分析服务的增加，以及向最终用户提供低成本巨量资料解决方案和服务。巨量资料产业扩张的根本驱动力是商业环境变化导致多个产业产生的资料量。从复杂的异质患者来源获取知识、平均患者记录、正确理解未管理的临床记录、有效处理大量医学成像资料以及与标准临床资料关联增加了额外的难度，了解患者的行为资料和个人资料，通过各种来源获取社会资讯。

主要市场驱动因素

人口健康管理分析解决方案的需求不断增长

医疗保健领域大数据的使用增加

对具有成本效益的大数据软体和服务的需求不断增长

主要市场挑战

资料隐私和安全问题

监理合规性和道德考虑

主要市场趋势

电子健康记录 (EHR) 的快速采用

疾病预防与管理中预测分析的出现

细分市场洞察

组件洞察

最终使用者见解

区域洞察

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：全球大数据医疗保健市场展望

  • 市场规模预测
    • 按价值
  • 市占率预测
    • 依组件（硬体、软体、分析服务）
    • 按应用（财务分析、临床分析、营运分析、人口健康分析）
    • 按最终使用者（医院、诊所、学术研究组织、其他）
    • 按地区
    • 按公司划分 (2023)
  • 市场地图

第 5 章：北美医疗保健大数据市场展望

  • 市场规模预测
    • 按价值
  • 市占率预测
    • 按组件
    • 按申请
    • 按最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 6 章：欧洲医疗保健大数据市场展望

  • 市场规模预测
    • 按价值
  • 市占率预测
    • 按组件
    • 按申请
    • 按最终用户
    • 按国家/地区
  • 欧洲：国家分析
    • 法国
    • 英国
    • 义大利
    • 德国
    • 西班牙

第 7 章：亚太地区医疗保健大数据市场展望

  • 市场规模预测
    • 按价值
  • 市占率预测
    • 按组件
    • 按申请
    • 按最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国

第 8 章：南美洲医疗保健市场大数据展望

  • 市场规模预测
    • 按价值
  • 市占率预测
    • 按组件
    • 按申请
    • 按最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 9 章：中东和非洲医疗保健大数据市场展望

  • 市场规模预测
    • 按价值
  • 市占率预测
    • 按组件
    • 按申请
    • 按最终用户
    • 按国家/地区
  • MEA：国家分析
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋

第 10 章：市场动态

  • 司机
  • 挑战

第 11 章：市场趋势发展

  • 併购（如有）
  • 产品发布（如有）
  • 最近的发展

第 12 章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的力量
  • 客户的力量
  • 替代产品的威胁

第13章：竞争格局

  • GE HealthCare Technologies, Inc
  • IBM Corporation
  • McKesson Corporation
  • MedeAnalytics, Inc.
  • Oracle Corporation
  • Premier, Inc.
  • Koninklijke Philips NV
  • Siemens Healthineers AG
  • Tableau Software, Inc.
  • Optum Inc.

第 14 章：策略建议

第 15 章：关于我们免责声明

简介目录
Product Code: 4009

Global Big Data in Healthcare Market was valued at USD 25.74 Billion in 2023 and is anticipated to project impressive growth in the forecast period with a CAGR of 18.21% through 2029. The growth is attributed to an increase in the complexity of big data analytics management, an increase in analytics services, and the availability of low-cost big data solutions and services to end users. The fundamental driver for the expansion of the big data sector is the volume of data created across several industries as a result of changes in the business environment. Gaining knowledge from complex heterogeneous patient sources, averaging the patient records, understanding unmanaged clinical notes correctly, efficiently handling a large volume of medical imaging data, and relating with standard clinical data adds additional layers of difficulty, understanding the patient's behavioral data and personal data, social information through various sources.

Key Market Drivers

Growing Demand for Analytics Solutions for Population Health Management

The demand for the deployment of big data in the healthcare sector for disease trend and analysis prediction has resulted in recent years due to emergence of healthcare challenges related to the analysis of massive data amount. The market has been stabilizing in recent years as digital transformation of healthcare settings has increased, which is expected to drive market growth over the projected period.

An increase in demand for analytics solutions for population health management, an increase in the need for business intelligence to optimize health administration and strategy, are the main driving factors in the global big data in healthcare market growth.

Increased Use of Big Data in the Healthcare Sector

Big data analytics in healthcare refers to the intricate process of examining over large amounts of data to explore information such as hidden patterns, market trends, unknown correlations, and consumer preferences. Organizations can use this to make smart clinical and business decisions. Healthcare is a complex industry with a wide range of stakeholders, including patients, physicians, hospitals, pharmaceutical firms, and decision-makers. Strict laws and regulations also place restrictions on this industry. However, there may be a global shift away from the standard doctor-patient relationship. The healthcare system could possibly undergo a change due to health monitoring and collaboration with medical professionals to avoid diseases. By placing the patient at the center of the system is one of the most crucial components of the shift that healthcare needs to undergo. Technology is insufficient to accomplish these goals.

Companies are using big data analytics more and more frequently. However, medical enterprises are still unable to meet the demands of patients, doctors, administrators, and the creator's policy in terms of information. The use of personalized and accurate medicine based on personalized information, supplied in real time and customized to particular patients, would be made possible by the adoption of a big data strategy. Additionally, a number of market participants are investing in research and development while also launching new products and forming collaborations, all of which are driving market expansion.

Global big data in healthcare market is therefore expected to increase during the course of the analysis period as a result of the increasing adoption and business expansion of companies across the globe. However, security issues involving private patient medical information and expensive implementation and deployment costs are expected to hinder the global big data in healthcare market expansion.

Growing Demand for Cost-Effective Big Data Software and Services

One of the factors propelling the market for big data in healthcare is the rising demand for affordable big data software and services because digitalization is occurring more often, healthcare providers are implementing big data solutions with a focus on reducing clinical errors. The need for big data solutions in healthcare has expanded as a result of the greater affordability of high-quality big data services and software. The demand for cost-effective big data software and services has also increased due to the necessity to manage disorganized data and eliminate on-premises contact in medical hospitals, pharmacies, vaccine depots, and research facilities to avoid overcrowding in small spaces.

Key Market Challenges

Data Privacy and Security Concerns

One of the foremost challenges facing the Global Big Data in Healthcare Market is the issue of data privacy and security. With the massive volumes of sensitive patient data being generated and stored, maintaining confidentiality and safeguarding against unauthorized access or breaches is paramount. Healthcare organizations must adhere to stringent regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the United States and GDPR (General Data Protection Regulation) in Europe to ensure the privacy and security of patient information. However, as data breaches continue to occur globally, concerns regarding data privacy and security remain a significant challenge for the adoption and expansion of big data solutions in healthcare. Addressing these concerns requires ongoing investments in robust cybersecurity measures, encryption technologies, access controls, and employee training programs to mitigate the risks associated with data breaches and unauthorized access.

Regulatory Compliance and Ethical Considerations

Regulatory compliance and ethical considerations pose significant challenges for the Global Big Data in Healthcare Market. Healthcare organizations must navigate a complex landscape of regulations, guidelines, and ethical principles governing the collection, storage, analysis, and sharing of patient data. Compliance with regulations such as HIPAA, GDPR, and ethical frameworks such as the Belmont Report and the Declaration of Helsinki is essential to protect patient privacy, ensure data security, and uphold ethical standards in research and clinical practice. However, navigating the regulatory landscape while leveraging big data technologies for healthcare innovation requires a delicate balance between compliance, innovation, and ethical considerations. Organizations must invest in robust compliance programs, ethical guidelines, and governance frameworks to navigate regulatory complexities and uphold the highest standards of data privacy, security, and ethics in healthcare.

Key Market Trends

Rapid Adoption of Electronic Health Records (EHRs)

The global healthcare industry is witnessing a rapid adoption of electronic health records (EHRs), driven by the increasing digitization of healthcare data and the need for efficient data management systems. EHRs enable healthcare providers to store, retrieve, and share patient information electronically, leading to improved clinical decision-making, streamlined workflows, and enhanced patient care outcomes. With the proliferation of EHR systems, healthcare organizations are generating vast amounts of data, including patient demographics, medical history, diagnostic test results, and treatment plans. This influx of data presents opportunities for leveraging big data analytics to extract valuable insights, identify trends, and improve healthcare delivery processes.

Emergence of Predictive Analytics in Disease Prevention and Management

Another prominent trend in the global big data in healthcare market is the emergence of predictive analytics tools and techniques for disease prevention and management. Healthcare organizations are leveraging advanced analytics algorithms to analyze large datasets containing clinical, genomic, demographic, and environmental data to predict disease onset, progression, and outcomes. Predictive analytics enables early detection of diseases, personalized treatment recommendations, and targeted interventions, leading to better patient outcomes and cost savings for healthcare systems. Moreover, predictive analytics plays a crucial role in population health management initiatives by identifying high-risk patient populations, prioritizing preventive care interventions, and optimizing resource allocation.

Segmental Insights

Component Insights

Based on the Component, software segment dominated the Global Big Data in Healthcare Market in 2023. Software plays a pivotal role in facilitating data management, processing, analysis, and visualization in healthcare organizations. With the exponential growth of healthcare data, there is a rising demand for robust software solutions capable of handling large volumes of data efficiently and extracting actionable insights. Healthcare software encompasses a wide range of applications, including electronic health record (EHR) systems, clinical decision support systems, data integration platforms, and analytics software. These software solutions enable healthcare providers to streamline workflows, improve patient care outcomes, and optimize resource allocation.

End User Insights

Based on the end-user segment, Hospitals Clinics dominated the global Big Data in Healthcare Market in 2023. Hospitals and clinics play a central role in healthcare delivery, generating vast amounts of patient data through clinical encounters, diagnostic tests, treatment procedures, and administrative processes. As healthcare organizations increasingly adopt electronic health record (EHR) systems and other digital health technologies, the volume and complexity of data generated within hospitals and clinics continue to grow exponentially. This wealth of data presents opportunities for leveraging big data analytics to improve patient care outcomes, enhance operational efficiency, and optimize resource utilization. Hospitals and clinics are investing in advanced analytics tools and technologies to extract actionable insights from their data, enabling clinical decision support, predictive modeling, population health management, and performance monitoring. Additionally, hospitals and clinics are collaborating with technology vendors, research institutions, and government agencies to develop innovative big data solutions tailored to the specific needs and challenges of healthcare delivery settings. As the demand for data-driven healthcare solutions continues to rise, hospitals and clinics are expected to maintain their dominance in the global Big Data in Healthcare Market.

Regional Insights

North America is dominating the Global Big Data in Healthcare Market. The region boasts a mature healthcare infrastructure, significant investments in healthcare technology, and advanced research and development capabilities. The United States, in particular, leads the global market with its large-scale adoption of electronic health records (EHRs), robust data analytics platforms, and a thriving ecosystem of healthcare startups and technology companies. Additionally, favorable government initiatives, such as the implementation of the Health Information Technology for Economic and Clinical Health (HITECH) Act and the Affordable Care Act (ACA), have spurred the adoption of big data analytics in healthcare, driving market growth. Furthermore, North America benefits from strong collaborations between healthcare providers, research institutions, and technology vendors, fostering innovation and accelerating the development and deployment of big data solutions across the healthcare continuum. While North America currently holds the largest market share, other regions, including Europe and Asia-Pacific, are also witnessing significant growth opportunities in the global Big Data in Healthcare Market.

Key Market Players

GE HealthCare Technologies, Inc

IBM Corporation

McKesson Corporation

MedeAnalytics, Inc.

Oracle Corporation

Premier, Inc.

Koninklijke Philips N.V.

Siemens Healthineers AG

Tableau Software, Inc.

Optum Inc.

Report Scope:

In this report, the Global Big Data in Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Big Data in Healthcare Market,By Component:

  • Hardware
    • Data Storage
    • Servers
    • Networking
  • Software
    • Electronic Health Records
    • Practice Management Software
    • Revenue Cycle Management Software
    • Workforce Management Software
    • Others
  • Analytics Service
    • Descriptive Analytics
    • Prescriptive Analytics
    • Predictive Analytics

Big Data in Healthcare Market,By Application:

  • Financial Analytics
  • Clinical Analytics
  • Operational Analytics
  • Population Health Analytics

Big Data in Healthcare Market,By End User:

  • Hospitals Clinics
  • Academic Research Organizations
  • Others

Big Data in Healthcare Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data in Healthcare Market.

Available Customizations:

Global Big Data in Healthcare marketreport with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1.Service Overview

  • 1.1.Market Definition
  • 1.2.Scope of the Market
    • 1.2.1.Markets Covered
    • 1.2.2.Years Considered for Study
    • 1.2.3.Key Market Segmentations

2.Research Methodology

  • 2.1.Objective of the Study
  • 2.2.Baseline Methodology
  • 2.3.Key Industry Partners
  • 2.4.Major Association and Secondary Sources
  • 2.5.Forecasting Methodology
  • 2.6.Data Triangulation Validation
  • 2.7.Assumptions and Limitations

3.Executive Summary

  • 3.1.Overview of the Market
  • 3.2.Overview of Key Market Segmentations
  • 3.3.Overview of Key Market Players
  • 3.4.Overview of Key Regions/Countries
  • 3.5.Overview of Market Drivers, Challenges, Trends

4.Global Big Data in Healthcare Market Outlook

  • 4.1.Market Size Forecast
    • 4.1.1.By Value
  • 4.2.Market Share Forecast
    • 4.2.1.By Component (Hardware, Software, Analytics Services)
      • 4.2.1.1.By Hardware (Data Storage, Servers, Networking)
      • 4.2.1.2.By Software (Electronic Health Records, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, Others)
      • 4.2.1.3.By Analytics Service (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics)
    • 4.2.2.By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 4.2.3.By End User (Hospitals Clinics, Academic Research Organizations, Others)
    • 4.2.4.By Region
    • 4.2.5.By Company (2023)
  • 4.3.Market Map

5.North America Big Data in Healthcare Market Outlook

  • 5.1.Market Size Forecast
    • 5.1.1.By Value
  • 5.2.Market Share Forecast
    • 5.2.1.By Component (Hardware, Software, Analytics Services)
      • 5.2.1.1.By Hardware (Data Storage, Servers, Networking)
      • 5.2.1.2.By Software (Electronic Health Records, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, Others)
      • 5.2.1.3.By Analytics Service (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics)
    • 5.2.2.By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 5.2.3.By End User (Hospitals Clinics, Academic Research Organizations, Others)
    • 5.2.4.By Country
  • 5.3.North America: Country Analysis
    • 5.3.1.United States Big Data in Healthcare Market Outlook
      • 5.3.1.1.Market Size Forecast
        • 5.3.1.1.1.By Value
      • 5.3.1.2.Market Share Forecast
        • 5.3.1.2.1.By Component
        • 5.3.1.2.2.By Application
        • 5.3.1.2.3.By End User
    • 5.3.2.Canada Big Data in Healthcare Market Outlook
      • 5.3.2.1.Market Size Forecast
        • 5.3.2.1.1.By Value
      • 5.3.2.2.Market Share Forecast
        • 5.3.2.2.1.By Component
        • 5.3.2.2.2.By Application
        • 5.3.2.2.3.By End User
    • 5.3.3.Mexico Big Data in Healthcare Market Outlook
      • 5.3.3.1.Market Size Forecast
        • 5.3.3.1.1.By Value
      • 5.3.3.2.Market Share Forecast
        • 5.3.3.2.1.By Component
        • 5.3.3.2.2.By Application
        • 5.3.3.2.3.By End User

6.Europe Big Data in Healthcare Market Outlook

  • 6.1.Market Size Forecast
    • 6.1.1.By Value
  • 6.2.Market Share Forecast
    • 6.2.1.By Component (Hardware, Software, Analytics Services)
      • 6.2.1.1.By Hardware (Data Storage, Servers, Networking)
      • 6.2.1.2.By Software (Electronic Health Records, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, Others)
      • 6.2.1.3.By Analytics Service (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics)
    • 6.2.2.By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 6.2.3.By End User (Hospitals Clinics, Academic Research Organizations, Others)
    • 6.2.4.By Country
  • 6.3.Europe: Country Analysis
    • 6.3.1.France Big Data in Healthcare Market Outlook
      • 6.3.1.1.Market Size Forecast
        • 6.3.1.1.1.By Value
      • 6.3.1.2.Market Share Forecast
        • 6.3.1.2.1.By Component
        • 6.3.1.2.2.By Application
        • 6.3.1.2.3.By End User
    • 6.3.2.United Kingdom Big Data in Healthcare Market Outlook
      • 6.3.2.1.Market Size Forecast
        • 6.3.2.1.1.By Value
      • 6.3.2.2.Market Share Forecast
        • 6.3.2.2.1.By Component
        • 6.3.2.2.2.By Application
        • 6.3.2.2.3.By End User
    • 6.3.3.Italy Big Data in Healthcare Market Outlook
      • 6.3.3.1.Market Size Forecast
        • 6.3.3.1.1.By Value
      • 6.3.3.2.Market Share Forecast
        • 6.3.3.2.1.By Component
        • 6.3.3.2.2.By Application
        • 6.3.3.2.3.By End User
    • 6.3.4.Germany Big Data in Healthcare Market Outlook
      • 6.3.4.1.Market Size Forecast
        • 6.3.4.1.1.By Value
      • 6.3.4.2.Market Share Forecast
        • 6.3.4.2.1.By Component
        • 6.3.4.2.2.By Application
        • 6.3.4.2.3.By End User
    • 6.3.5.Spain Big Data in Healthcare Market Outlook
      • 6.3.5.1.Market Size Forecast
        • 6.3.5.1.1.By Value
      • 6.3.5.2.Market Share Forecast
        • 6.3.5.2.1.By Component
        • 6.3.5.2.2.By Application
        • 6.3.5.2.3.By End User

7.Asia-Pacific Big Data in Healthcare Market Outlook

  • 7.1.Market Size Forecast
    • 7.1.1.By Value
  • 7.2.Market Share Forecast
    • 7.2.1.By Component (Hardware, Software, Analytics Services)
      • 7.2.1.1.By Hardware (Data Storage, Servers, Networking)
      • 7.2.1.2.By Software (Electronic Health Records, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, Others)
      • 7.2.1.3.By Analytics Service (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics)
    • 7.2.2.By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 7.2.3.By End User (Hospitals Clinics, Academic Research Organizations, Others)
    • 7.2.4.By Country
  • 7.3.Asia-Pacific: Country Analysis
    • 7.3.1.China Big Data in Healthcare Market Outlook
      • 7.3.1.1.Market Size Forecast
        • 7.3.1.1.1.By Value
      • 7.3.1.2.Market Share Forecast
        • 7.3.1.2.1.By Component
        • 7.3.1.2.2.By Application
        • 7.3.1.2.3.By End User
    • 7.3.2.India Big Data in Healthcare Market Outlook
      • 7.3.2.1.Market Size Forecast
        • 7.3.2.1.1.By Value
      • 7.3.2.2.Market Share Forecast
        • 7.3.2.2.1.By Component
        • 7.3.2.2.2.By Application
        • 7.3.2.2.3.By End User
    • 7.3.3.Japan Big Data in Healthcare Market Outlook
      • 7.3.3.1.Market Size Forecast
        • 7.3.3.1.1.By Value
      • 7.3.3.2.Market Share Forecast
        • 7.3.3.2.1.By Component
        • 7.3.3.2.2.By Application
        • 7.3.3.2.3.By End User
    • 7.3.4.Australia Big Data in Healthcare Market Outlook
      • 7.3.4.1.Market Size Forecast
        • 7.3.4.1.1.By Value
      • 7.3.4.2.Market Share Forecast
        • 7.3.4.2.1.By Component
        • 7.3.4.2.2.By Application
        • 7.3.4.2.3.By End User
    • 7.3.5.South Korea Big Data in Healthcare Market Outlook
      • 7.3.5.1.Market Size Forecast
        • 7.3.5.1.1.By Value
      • 7.3.5.2.Market Share Forecast
        • 7.3.5.2.1.By Component
        • 7.3.5.2.2.By Application
        • 7.3.5.2.3.By End User

8.South America Big Data in Healthcare Market Outlook

  • 8.1.Market Size Forecast
    • 8.1.1.By Value
  • 8.2.Market Share Forecast
    • 8.2.1.By Component (Hardware, Software, Analytics Services)
      • 8.2.1.1.By Hardware (Data Storage, Servers, Networking)
      • 8.2.1.2.By Software (Electronic Health Records, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, Others)
      • 8.2.1.3.By Analytics Service (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics)
    • 8.2.2.By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 8.2.3.By End User (Hospitals Clinics, Academic Research Organizations, Others)
    • 8.2.4.By Country
  • 8.3.South America: Country Analysis
    • 8.3.1.Brazil Big Data in Healthcare Market Outlook
      • 8.3.1.1.Market Size Forecast
        • 8.3.1.1.1.By Value
      • 8.3.1.2.Market Share Forecast
        • 8.3.1.2.1.By Component
        • 8.3.1.2.2.By Application
        • 8.3.1.2.3.By End User
    • 8.3.2.Argentina Big Data in Healthcare Market Outlook
      • 8.3.2.1.Market Size Forecast
        • 8.3.2.1.1.By Value
      • 8.3.2.2.Market Share Forecast
        • 8.3.2.2.1.By Component
        • 8.3.2.2.2.By Application
        • 8.3.2.2.3.By End User
    • 8.3.3.Colombia Big Data in Healthcare Market Outlook
      • 8.3.3.1.Market Size Forecast
        • 8.3.3.1.1.By Value
      • 8.3.3.2.Market Share Forecast
        • 8.3.3.2.1.By Component
        • 8.3.3.2.2.By Application
        • 8.3.3.2.3.By End User

9.Middle East and Africa Big Data in Healthcare Market Outlook

  • 9.1.Market Size Forecast
    • 9.1.1.By Value
  • 9.2.Market Share Forecast
    • 9.2.1.By Component (Hardware, Software, Analytics Services)
      • 9.2.1.1.By Hardware (Data Storage, Servers, Networking)
      • 9.2.1.2.By Software (Electronic Health Records, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, Others)
      • 9.2.1.3.By Analytics Service (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics)
    • 9.2.2.By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 9.2.3.By End User (Hospitals Clinics, Academic Research Organizations, Others)
    • 9.2.4.By Country
  • 9.3.MEA: Country Analysis
    • 9.3.1.South Africa Big Data in Healthcare Market Outlook
      • 9.3.1.1.Market Size Forecast
        • 9.3.1.1.1.By Value
      • 9.3.1.2.Market Share Forecast
        • 9.3.1.2.1.By Component
        • 9.3.1.2.2.By Application
        • 9.3.1.2.3.By End User
    • 9.3.2.Saudi Arabia Big Data in Healthcare Market Outlook
      • 9.3.2.1.Market Size Forecast
        • 9.3.2.1.1.By Value
      • 9.3.2.2.Market Share Forecast
        • 9.3.2.2.1.By Component
        • 9.3.2.2.2.By Application
        • 9.3.2.2.3.By End User
    • 9.3.3.UAE Big Data in Healthcare Market Outlook
      • 9.3.3.1.Market Size Forecast
        • 9.3.3.1.1.By Value
      • 9.3.3.2.Market Share Forecast
        • 9.3.3.2.1.By Component
        • 9.3.3.2.2.By Application
        • 9.3.3.2.3.By End User

10.Market Dynamics

  • 10.1.Drivers
  • 10.2.Challenges

11.Market Trends Developments

  • 11.1.Merger Acquisition (If Any)
  • 11.2.Product Launches (If Any)
  • 11.3.Recent Developments

12.Porters Five Forces Analysis

  • 12.1.Competition in the Industry
  • 12.2.Potential of New Entrants
  • 12.3.Power of Suppliers
  • 12.4.Power of Customers
  • 12.5.Threat of Substitute Products

13.Competitive Landscape

  • 13.1.GE HealthCare Technologies, Inc
    • 13.1.1.Business Overview
    • 13.1.2.Company Snapshot
    • 13.1.3.Products Services
    • 13.1.4.Financials (As Reported)
    • 13.1.5.Recent Developments
    • 13.1.6.Key Personnel Details
    • 13.1.7.SWOT Analysis
  • 13.2.IBM Corporation
  • 13.3.McKesson Corporation
  • 13.4.MedeAnalytics, Inc.
  • 13.5.Oracle Corporation
  • 13.6.Premier, Inc.
  • 13.7.Koninklijke Philips N.V.
  • 13.8.Siemens Healthineers AG
  • 13.9.Tableau Software, Inc.
  • 13.10.Optum Inc.

14.Strategic Recommendations

15.About Us Disclaimer