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市场调查报告书
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1840155

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 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来,巨量资料医疗市场规模快速扩张,从2024年的283.9亿美元成长到2025年的336.4亿美元,复合年增长率达18.5%。这段历史时期的成长可归因于电子健康记录(EHR) 的普及、健康数据的不断增长、对数据主导洞察的需求、向基于价值的医疗服务的转变、早期采用者以及成功案例。

预计未来几年,巨量资料医疗市场规模将呈指数级增长,到2029年将达到725.3亿美元,复合年增长率为21.2%。预测期内的成长可归因于法律规范和合规性、医疗服务和营运效率的提升、全球扩张和市场渗透、基于价值的医疗以及人口健康管理措施。预测期内的主要趋势包括:健康数据量的增加、分析和人工智慧的进步、对预测性和预防性医疗的需求、基于价值的医疗和人口健康管理的兴起以及个人化医疗。

巨量资料医疗是指医疗产业的巨量资料分析解决方案。利用巨量资料解决方案可以帮助组织做出明智的决策并优化医疗管理。巨量资料分析涉及检查来自数千名患者的大量资料集,识别资料集之间的丛集和相关性,并使用资料探勘技术开发预测模型。在医疗保健市场,巨量资料分析融合了多个领域的研究成果,包括生物资讯学、医学影像、感测器资讯学、医学资讯学和健康资讯学。

巨量资料医疗市场主要由软体和服务组成。软体是指医疗专业人员利用巨量资料做出规范决策,进而影响患者治疗结果和营运效率。巨量资料医疗部署在本地端和云端。巨量资料医疗使用说明、预测性分析和指示性分析分析等分析类型,并应用于财务分析、临床数据分析、营运分析和人口健康分析。巨量资料医疗的最终用户包括医院和诊所、金融和保险机构以及研究机构。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响,尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税,并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时,对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链,减少了海外对美国製造技术的需求。作为应对措施,该行业正在增加对国内晶片生产的投资,扩大供应商网络,并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

巨量资料医疗保健市场研究报告是商业研究公司 (The Business Research Company) 最新报告系列之一,提供巨量资料医疗保健市场统计数据,例如全球市场规模、各地区市场份额、竞争对手的巨量资料巨量资料巨量资料。这份巨量资料医疗保健市场研究报告对该行业的现状和未来趋势进行了详细分析,为您提供所需的全方位观点。

未来五年的预测成长率为21.2%,较我们先前对该市场的预测略有下降0.5%。这一下降主要源自于美国与其他国家之间关税的影响。关税可能会增加从全球供应商采购高通量处理设备的成本,从而加大美国医疗保健领域采用巨量资料平台的门槛。此外,由于互惠关税以及贸易紧张局势和限制措施加剧对全球经济和贸易的负面影响,其影响也将更加广泛。

医疗资讯系统的普及预计将推动巨量资料医疗市场的成长。医疗资讯系统是管理医疗数据、支援医院运作和医疗政策制定的系统。这些系统收集、储存、管理和传输患者的电子健康记录(EMR)。医疗保健领域的巨量资料分析用于分析这些电子记录,有助于降低医疗成本并支持人口健康管理。检验这些医疗数据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指出,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透过医疗服务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其健康讯息,64% 的患者将使用这些门户网站来增加与医疗服务提供者讯息的频率。因此,医疗资讯系统的普及预计将推动巨量资料医疗市场的未来发展。

人工智慧 (AI) 的日益普及预计将在未来几年推动巨量资料医疗市场的成长。人工智慧是电脑科学的一个分支,专门创建系统和演算法,使机器能够执行通常需要人类智慧才能完成的任务,例如学习、解决问题和决策。人工智慧的日益普及得益于技术进步、数据可用性的提高、提高效率的自动化需求以及各行业对个人化体验的需求。医疗保健领域的巨量资料透过提供广泛的患者资讯、医疗记录和即时健康数据来促进人工智慧的普及,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 (ONS) 2023 年 5 月开展的“观点与生活方式调查”,72% 的成年人至少能够部分解释人工智能,而数据伦理与创新中心 2022 年 6 月至 7 月开展的“公众对数据和人工智能的态度追踪调查”中,这一比例仅为 56%。在日常人工智慧使用情况方面,5% 的成年人表示经常使用,45% 的成年人表示偶尔使用。因此,人工智慧的日益普及正在推动巨量资料医疗市场的成长。

技术进步是推动巨量资料医疗市场发展的关键趋势。该领域的众多公司正在开发新产品和新技术,以巩固其市场地位。例如,2022年3月,美国科技公司微软公司宣布推出Azure健康数据服务。该服务旨在集中管理医疗保健数据,允许组织使用FHIR和DICOM等开放标准上传、储存、管理和分析医疗保健数据。 Azure健康数据服务支援来自相同资料储存的事务性和分析性工作负载,使公司能够利用进阶分析和机器学习工具从医疗保健资料中获取洞察,并最终改善病患治疗效果和营运效率。

巨量资料医疗市场涵盖提供分析解决方案的营业单位所产生的收益,这些解决方案旨在了解临床情况并支持明智的诊断和治疗决策。市场价值包括服务供应商销售或包含在其服务产品中的相关商品的价值。仅包括营业单位之间交易或销售给最终消费者的商品和服务。

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、贸易战和关税,以及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

  • 全球巨量资料医疗保健:PESTEL分析(政治、社会、科技、环境、法律因素、驱动因素与限制因素)
  • 最终用途产业分析
  • 全球巨量资料医疗市场:成长率分析
  • 全球巨量资料医疗市场表现:规模与成长,2019-2024
  • 全球巨量资料医疗市场预测:2024-2029年及2034年规模与成长
  • 全球巨量资料医疗保健:总潜在市场(TAM)

第六章 市场细分

  • 全球巨量资料医疗市场:依组成部分、实际规模及预测,2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 服务
  • 全球巨量资料医疗市场:依部署、表现与预测,2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 全球巨量资料医疗市场分析(按类型、实际结果和预测),2019-2024 年、2024-2029 年、2034 年
  • 说明分析
  • 预测分析
  • 指示性分析
  • 全球巨量资料医疗市场:按应用程式、表现和预测,2019-2024 年、2024-2029 年、2034 年
  • 财务分析
  • 临床数据分析
  • 营运分析
  • 人口健康分析
  • 全球巨量资料医疗市场:按最终用户、实际结果和预测,2019-2024 年、2024-2029 年、2034 年
  • 医院和诊所
  • 金融和保险代理人
  • 研究机构
  • 全球巨量资料医疗市场:依软体(类型)细分,实际及预测,2019-2024 年、2024-2029 年、2034 年
  • 数据分析软体
  • 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)
  • 全球巨量资料医疗市场:按服务类型、绩效和预测细分,2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 数据整合服务
  • 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

  • 全球巨量资料医疗市场:依地区、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 全球巨量资料医疗市场:依国家/地区、绩效及预测(2019-2024 年、2024-2029 年及 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

第十七章:德国市场

第18章:法国市场

第十九章: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 Overview, Products and Services, Strategy and Financial Analysis
    • Cognizant Overview, Products and Services, Strategy and Financial Analysis
    • Epic Systems Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Cerner Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Dell Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章:高潜力市场国家、细分市场与策略

  • 2029年巨量资料医疗市场:提供新机会的国家
  • 2029年巨量资料医疗市场:细分领域带来新机会
  • 2029年巨量资料医疗市场:成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r21138u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $33.64 billion in 2025 at a compound annual growth rate (CAGR) of 18.5%. 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 $72.53 billion in 2029 at a compound annual growth rate (CAGR) of 21.2%. 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 forecast of 21.2% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs could raise barriers to adoption for big data platforms in US healthcare by increasing the cost of high-throughput processing equipment sourced from global suppliers. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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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  • All data from the report will also be delivered in an excel dashboard format.

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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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.; 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.
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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