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市场调查报告书
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1641639

2025 年巨量资料医疗保健全球市场报告

Big Data Healthcare Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年巨量资料医疗保健市场规模将呈指数级增长。到 2029 年，这一数字将成长至 761 亿美元，年复合成长率（CAGR）为 22.3%。预测期内的成长可归因于法律规范和合规性、医疗保健服务和业务效率的改善、全球扩张和市场渗透、基于价值的护理以及人口健康管理措施。预测期内的主要趋势包括医疗保健资料量的增加、分析和人工智慧的进步、对预测和预防医疗保健的需求、基于价值的护理和人口健康管理以及个人化医疗保健的兴起。

医疗保健资讯系统的采用预计将推动巨量资料医疗保健市场的成长。医疗资讯系统是管理医疗资料、支援医院营运管理和医疗政策制定的系统。这些系统收集、储存、管理和传输患者电子健康记录(EMR)。医疗保健领域的巨量资料分析正用于分析这些电子记录，以帮助降低医疗保健成本并协助人口健康管理。这种医疗保健资料的检验最终将改善患者护理。例如，美国政府机构国家卫生资讯科技协调办公室的一份报告预测，2020年至2022年间，患者门户网站的使用量将激增，造访入口网站的病患数量将增加50%。到 2022 年，全国超过一半的个人将使用其医疗保健提供者或保险公司提供的应用程式或患者门户网站在线访问他们的健康信息，64% 的患者正在使用这些门户网站来增加与医疗保健提供者讯息的频率。因此，预计医疗保健资讯系统的日益普及将推动未来巨量资料医疗保健市场的发展。

预计人工智慧（AI）的日益普及将在未来几年推动巨量资料医疗保健市场的成长。人工智慧是电脑科学的一个分支，致力于创建系统和演算法，使机器能够执行通常需要人类智慧的任务，例如学习、解决问题和决策。人工智慧的日益普及是由技术进步、资料可用性的提高、提高效率的自动化需求以及各个领域对个人化体验的需求所推动的。医疗保健领域的巨量资料透过提供大量患者资讯、医疗记录和即时健康资料来加速人工智慧的采用，使人工智慧能够创建更准确的预测模型、个人化治疗和高效的诊断工具。例如，英国政府机构国家统计局的一份报告发现，公众对人工智慧的认识在过去一年中有所提高。根据英国国家统计局 2023 年 5 月进行的观点和生活方式调查，72% 的成年人可以对人工智慧做出至少部分解释，而数据伦理与创新中心在 2022 年 6 月至 7 月进行的「公众对数据和人工智慧态度追踪调查」中，这一比例为 56%。谈到日常人工智慧的使用，5% 的成年人表示他们经常使用，45% 的人表示他们偶尔会使用。如此看来，AI的普及正在推动巨量资料医疗市场的成长。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、通膨、地缘政治、新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球巨量资料医疗PESTEL分析（政治、社会、科技、环境、法律、驱动因素、阻碍因素）
  • 最终用途产业分析
  • 全球巨量资料医疗市场成长率分析
  • 全球巨量资料医疗保健市场表现：规模与成长，2019 年至 2024 年
  • 全球巨量资料医疗保健市场预测：规模与成长，2024-2029 年，2034 年
  • 全球巨量资料医疗总潜在市场 (TAM)

第六章 市场细分

  • 全球巨量资料医疗保健市场组成部分、绩效与预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 服务
  • 全球巨量资料医疗保健市场（按部署、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 云
  • 全球巨量资料医疗保健市场分析类型、表现及预测，2019-2024、2024-2029、2034
  • 说明分析
  • 预测分析
  • 指示性分析
  • 全球巨量资料医疗保健市场的应用、表现与预测，2019-2024 年、2024-2029 年、2034 年
  • 财务分析
  • 临床资料分析
  • 营运分析
  • 人口健康分析
  • 全球巨量资料医疗保健市场（按最终用户、绩效和预测），2019-2024 年、2024-2029 年、2034 年
  • 医院和诊所
  • 金融及保险代理
  • 研究设施
  • 全球巨量资料医疗市场、软体细分、类型、效能与预测，2019-2024 年、2024-2029 年、2034 年
  • 资料分析软体
  • 资料管理软体
  • 视觉化工具
  • 电子健康纪录（EHR）系统
  • 临床决策支援系统 (CDSS)
  • 全球巨量资料医疗保健市场、服务细分、类型、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 资料整合服务
  • 资料保全服务
  • 託管服务
  • 培训和支援服务

第七章 区域和国家分析

  • 全球巨量资料医疗保健市场各地区、表现及预测，2019-2024、2024-2029、2034
  • 全球巨量资料医疗保健市场：按国家/地区、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第 17 章 德国市场

第 18 章 法国市场

第 19 章：义大利市场

第 20 章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第 25 章：加拿大市场

第26章 南美洲市场

第 27 章：巴西市场

第28章 中东市场

第 29 章：非洲市场

第 30 章竞争格局与公司概况

  • 巨量资料医疗市场：竞争格局
  • 巨量资料医疗市场：公司简介
    • McKesson Corporation
    • Cognizant
    • Epic Systems Corporation
    • Cerner Corporation
    • Dell Inc.

第31章 其他大型创新企业

  • International Business Machines Corporation
  • Oracle Corporation
  • SAP SE
  • Splunk Inc.
  • Alteryx Inc.
  • BigPanda Inc.
  • Health Catalyst Inc.
  • Optum Inc.
  • Koninklijke Philips NV
  • SAS Institute Inc.
  • Allscripts Healthcare Solutions Inc.
  • General Electric Company
  • Hewlett Packard Enterprise Company LP
  • Microsoft Corporation
  • Siemens Healthineers

第 32 章 全球竞争基准化分析与仪錶板

第33章 重大併购

第 34 章 近期市场趋势

第 35 章：市场潜力大的国家与策略

  • 2029 年巨量资料医疗保健市场 - 提供最多新机会的国家
  • 2029 年巨量资料医疗市场 - 提供最新兴机会的细分市场
  • 巨量资料医疗保健市场 2029-成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第 36 章 附录

简介目录
Product Code: r21138

Big data healthcare refers to big data analytics solutions for the healthcare industry, which helps organizations to make informed decisions and optimize healthcare management by use of big data solutions. Big data analytics allows for examining massive datasets from thousands of patients, identifying clusters and correlations across datasets, and developing predictive models using data mining techniques. In the healthcare market, big data analytics combines research from various fields, including bioinformatics, medical imaging, sensor informatics, medical informatics, and health informatics.

The main components in the big data healthcare market are software and services. Software refers to the use of big data by healthcare practitioners to make prescriptive decisions that influence patient outcomes and operational efficiencies. The big data healthcare is deployed on-premise and cloud. The big data healthcare uses analytics types such as descriptive analytics, predictive analytics, and prescriptive analytics and have applications in financial analytics, clinical data analytics, operational analytics, and population health analytics. The end users of big data healthcare are hospitals and clinics, finance and insurance agents, and a research organization.

The big data healthcare market research report is one of a series of new reports from The Business Research Company that provides big data healthcare market statistics, including big data healthcare industry global market size, regional shares, competitors with a big data healthcare market share, detailed big data healthcare market segments, market trends and opportunities, and any further data you may need to thrive in the big data healthcare industry. This big data healthcare market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The big data healthcare market size has grown rapidly in recent years. It will grow from $28.39 billion in 2024 to $34.04 billion in 2025 at a compound annual growth rate (CAGR) of 19.9%. The growth in the historic period can be attributed to increased adoption of electronic health records (EHRs), rise in health data generation, demand for data-driven insights, shift towards value-based care, early adopters and success stories.

The big data healthcare market size is expected to see exponential growth in the next few years. It will grow to $76.1 billion in 2029 at a compound annual growth rate (CAGR) of 22.3%. The growth in the forecast period can be attributed to regulatory frameworks and compliance, improved healthcare delivery and operational efficiency, global expansion and market penetration, value-based care and population health management initiatives. Major trends in the forecast period include increasing health data volume, advancements in analytics and ai, demand for predictive and preventive healthcare, value-based care and population health management, rise of personalized medicine.

The adoption of healthcare information systems is anticipated to propel the growth of the big data healthcare market. A healthcare information system refers to a system that manages healthcare data, encompassing the operational administration of hospitals and supporting the formulation of healthcare policy. These systems gather, store, manage, and transmit patients' electronic medical records (EMRs). Big data analytics in healthcare is utilized to analyze these electronic records, helping to reduce healthcare costs and assist in population health management. This examination of healthcare data ultimately enhances patient care. For instance, a report from the Office of the National Coordinator for Health Information Technology, a US-based government agency, noted that between 2020 and 2022, the usage of patient portals surged, with a 50% increase in the number of patients accessing their portals. By 2022, over half of individuals nationwide reported using an app or patient portal provided by their healthcare provider or insurer to access health information online, and 64% of patients utilized these portals to message their providers more frequently. Therefore, the growing adoption of healthcare information systems is expected to drive the big data healthcare market in the future.

The rising adoption of artificial intelligence (AI) is expected to drive the growth of the big data healthcare market in the future. AI is a branch of computer science dedicated to creating systems and algorithms that enable machines to perform tasks that usually require human intelligence, such as learning, problem-solving, and decision-making. The increasing adoption of AI is fueled by advancements in technology, greater data availability, the need for automation to improve efficiency, and the demand for personalized experiences across various sectors. Big data in healthcare facilitates AI adoption by providing extensive patient information, medical records, and real-time health data, which enables AI to create more accurate predictive models, personalized treatments, and efficient diagnostic tools. For example, a report from the Office for National Statistics, a UK-based government department, indicated that public awareness of AI has increased over the past year. According to the ONS Opinions and Lifestyle Survey conducted in May 2023, 72% of adults could offer at least a partial explanation of AI, compared to 56% in the Centre for Data Ethics and Innovation's Public Attitudes to Data and AI Tracker Survey from June to July 2022. Regarding everyday AI usage, 5% of adults reported using it frequently, while 45% used it occasionally. Thus, the rising adoption of AI is driving growth in the big data healthcare market.

Technological advancements are a significant trend gaining traction in the big data healthcare market. Numerous companies in this sector are developing new products and technologies to enhance their market position. For example, in March 2022, Microsoft Corporation, a US-based technology company, launched Azure Health Data Services. This service is designed to unify healthcare data management, enabling organizations to upload, store, manage, and analyze healthcare data using open standards such as FHIR and DICOM. Azure Health Data Services supports both transactional and analytical workloads from the same data store, allowing organizations to utilize advanced analytics and machine learning tools to extract insights from healthcare data, ultimately improving patient outcomes and operational efficiencies.

Major companies operating in the big data healthcare market are focusing on strategic partnerships and collaborations to improve their big data healthcare offerings. Big data healthcare companies are partnering with each other to develop advanced platforms for accessing big data for healthcare. For instance, in September 2023, LifePoint Health, a US-based provider of diversified healthcare delivery network partnered with Google, a US-based technology and data analytics company, to develop Healthcare Data Engine (HDE) to enhance data interoperability, patient monitoring, and virtual care. This help healthcare providers provide better treatment, HDE compiles and organizes data from clinical trials, research, and other sources.

In April 2022, Omega Healthcare, a US-based provider of healthcare administrative services, acquired ApexonHealth for an undisclosed amount. This acquisition is expected to enhance Omega's existing payor-focused offerings and strengthen its position in the healthcare market by incorporating ApexonHealth's cognitive and automation capabilities, which have notably improved accuracy in claims adjudication. ApexonHealth is a US-based provider of big data solutions in the healthcare sector.

Major companies operating in the big data healthcare market include McKesson Corporation, Cognizant, Epic Systems Corporation, Cerner Corporation, Dell Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Splunk Inc., Alteryx Inc., BigPanda Inc., Health Catalyst Inc., Optum Inc., Koninklijke Philips N. V., SAS Institute Inc., Allscripts Healthcare Solutions Inc., General Electric Company, Hewlett Packard Enterprise Company LP, Microsoft Corporation, Siemens Healthineers, Teradata, Amazon Web Services Inc., Cloudera Inc., Hortonworks Inc., MapR Technologies Inc., MongoDB Inc., Palantir Technologies Inc., QlikTech International AB, Tableau Software Inc., Talend Inc., TIBCO Software Inc.

North America was the largest region in the big data healthcare market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the big data healthcare market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the big data healthcare market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The big data healthcare market includes revenues earned by entities by providing analytics solutions for understanding of clinical facts and helping the formulation of well-informed decisions regarding the diagnosis and treatment. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Healthcare Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on big data healthcare market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for big data healthcare ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The big data healthcare market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Services
  • 2) By Deployment: On-Premise; Cloud
  • 3) By Analytics Type: Descriptive Analytics; Predictive Analytics; Prescriptive Analytics
  • 4) By Application: Financial Analytics; Clinical Data Analytics; Operational Analytics; Population Health Analytics
  • Subsegments:
  • 1) By Software: Data Analytics Software; Data Management Software; Visualization Tools; Electronic Health Record (EHR) Systems; Clinical Decision Support Systems (CDSS)
  • 2) By Services: Consulting Services; Data Integration Services; Data Security Services; Managed Services; Training And Support Services
  • Companies Mentioned: McKesson Corporation; Cognizant; Epic Systems Corporation; Cerner Corporation; Dell Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Big Data Healthcare Market Characteristics

3. Big Data Healthcare Market Trends And Strategies

4. Big Data Healthcare Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Big Data Healthcare Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Big Data Healthcare PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Big Data Healthcare Market Growth Rate Analysis
  • 5.4. Global Big Data Healthcare Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Big Data Healthcare Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Big Data Healthcare Total Addressable Market (TAM)

6. Big Data Healthcare Market Segmentation

  • 6.1. Global Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • 6.4. Global Big Data Healthcare Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Financial Analytics
  • Clinical Data Analytics
  • Operational Analytics
  • Population Health Analytics
  • 6.5. Global Big Data Healthcare Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hospitals And Clinics
  • Finance And Insurance Agents
  • Research Organization
  • 6.6. Global Big Data Healthcare Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Analytics Software
  • Data Management Software
  • Visualization Tools
  • Electronic Health Record (EHR) Systems
  • Clinical Decision Support Systems (CDSS)
  • 6.7. Global Big Data Healthcare Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Data Integration Services
  • Data Security Services
  • Managed Services
  • Training And Support Services

7. Big Data Healthcare Market Regional And Country Analysis

  • 7.1. Global Big Data Healthcare Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Big Data Healthcare Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Big Data Healthcare Market

  • 8.1. Asia-Pacific Big Data Healthcare Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Big Data Healthcare Market

  • 9.1. China Big Data Healthcare Market Overview
  • 9.2. China Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Big Data Healthcare Market

  • 10.1. India Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Big Data Healthcare Market

  • 11.1. Japan Big Data Healthcare Market Overview
  • 11.2. Japan Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Big Data Healthcare Market

  • 12.1. Australia Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Big Data Healthcare Market

  • 13.1. Indonesia Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Big Data Healthcare Market

  • 14.1. South Korea Big Data Healthcare Market Overview
  • 14.2. South Korea Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Big Data Healthcare Market

  • 15.1. Western Europe Big Data Healthcare Market Overview
  • 15.2. Western Europe Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Big Data Healthcare Market

  • 16.1. UK Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Big Data Healthcare Market

  • 17.1. Germany Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Big Data Healthcare Market

  • 18.1. France Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Big Data Healthcare Market

  • 19.1. Italy Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Big Data Healthcare Market

  • 20.1. Spain Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Big Data Healthcare Market

  • 21.1. Eastern Europe Big Data Healthcare Market Overview
  • 21.2. Eastern Europe Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Big Data Healthcare Market

  • 22.1. Russia Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Big Data Healthcare Market

  • 23.1. North America Big Data Healthcare Market Overview
  • 23.2. North America Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Big Data Healthcare Market

  • 24.1. USA Big Data Healthcare Market Overview
  • 24.2. USA Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Big Data Healthcare Market

  • 25.1. Canada Big Data Healthcare Market Overview
  • 25.2. Canada Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Big Data Healthcare Market

  • 26.1. South America Big Data Healthcare Market Overview
  • 26.2. South America Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Big Data Healthcare Market

  • 27.1. Brazil Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Big Data Healthcare Market

  • 28.1. Middle East Big Data Healthcare Market Overview
  • 28.2. Middle East Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Big Data Healthcare Market

  • 29.1. Africa Big Data Healthcare Market Overview
  • 29.2. Africa Big Data Healthcare Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Big Data Healthcare Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Big Data Healthcare Market, Segmentation By Analytics Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Big Data Healthcare Market Competitive Landscape And Company Profiles

  • 30.1. Big Data Healthcare Market Competitive Landscape
  • 30.2. Big Data Healthcare Market Company Profiles
    • 30.2.1. McKesson Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Cognizant Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Epic Systems Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Cerner Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Dell Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Big Data Healthcare Market Other Major And Innovative Companies

  • 31.1. International Business Machines Corporation
  • 31.2. Oracle Corporation
  • 31.3. SAP SE
  • 31.4. Splunk Inc.
  • 31.5. Alteryx Inc.
  • 31.6. BigPanda Inc.
  • 31.7. Health Catalyst Inc.
  • 31.8. Optum Inc.
  • 31.9. Koninklijke Philips N. V.
  • 31.10. SAS Institute Inc.
  • 31.11. Allscripts Healthcare Solutions Inc.
  • 31.12. General Electric Company
  • 31.13. Hewlett Packard Enterprise Company LP
  • 31.14. Microsoft Corporation
  • 31.15. Siemens Healthineers

32. Global Big Data Healthcare Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Big Data Healthcare Market

34. Recent Developments In The Big Data Healthcare Market

35. Big Data Healthcare Market High Potential Countries, Segments and Strategies

  • 35.1 Big Data Healthcare Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Big Data Healthcare Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Big Data Healthcare Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer