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市場調查報告書
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1840155

2025年巨量資料醫療保健全球市場報告

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個工作天內

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簡介目錄

近年來，巨量資料醫療市場規模快速擴張，從2024年的283.9億美元成長到2025年的336.4億美元，複合年成長率達18.5%。這段歷史時期的成長可歸因於電子健康記錄(EHR) 的普及、健康數據的不斷成長、對數據主導洞察的需求、向基於價值的醫療服務的轉變、早期採用者以及成功案例。

預計未來幾年，巨量資料醫療市場規模將呈指數級成長，到2029年將達到725.3億美元，複合年成長率為21.2%。預測期內的成長可歸因於法律規範和合規性、醫療服務和營運效率的提升、全球擴張和市場滲透、基於價值的醫療以及人口健康管理措施。預測期內的主要趨勢包括：健康數據量的增加、分析和人工智慧的進步、對預測性和預防性醫療的需求、基於價值的醫療和人口健康管理的興起以及個人化醫療。

巨量資料醫療是指醫療產業的巨量資料分析解決方案。利用巨量資料解決方案可以幫助組織做出明智的決策並最佳化醫療管理。巨量資料分析涉及檢查來自數千名患者的大量資料集，識別資料集之間的叢集和相關性，並使用資料探勘技術開發預測模型。在醫療保健市場，巨量資料分析融合了多個領域的研究成果，包括生物資訊學、醫學影像、感測器資訊學、醫學資訊學和健康資訊學。

巨量資料醫療市場主要由軟體和服務組成。軟體是指醫療專業人員利用巨量資料做出規範決策，進而影響患者治療結果和營運效率。巨量資料醫療部署在本地端和雲端。巨量資料醫療使用說明、預測性分析和指示性分析分析等分析類型，並應用於財務分析、臨床數據分析、營運分析和人口健康分析。巨量資料醫療的最終用戶包括醫院和診所、金融和保險機構以及研究機構。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

巨量資料醫療保健市場研究報告是商業研究公司 (The Business Research Company) 最新報告系列之一，提供巨量資料醫療保健市場統計數據，例如全球市場規模、各地區市場佔有率、競爭對手的巨量資料巨量資料巨量資料。這份巨量資料醫療保健市場研究報告對該行業的現狀和未來趨勢進行了詳細分析，為您提供所需的全方位觀點。

未來五年的預測成長率為21.2%，較我們先前對該市場的預測略有下降0.5%。這一下降主要源自於美國與其他國家之間關稅的影響。關稅可能會增加從全球供應商採購高通量處理設備的成本，從而加大美國醫療保健領域採用巨量資料平台的門檻。此外，由於互惠關稅以及貿易緊張局勢和限制措施加劇對全球經濟和貿易的負面影響，其影響也將更加廣泛。

醫療資訊系統的普及預計將推動巨量資料醫療市場的成長。醫療資訊系統是管理醫療數據、支援醫院運作和醫療政策制定的系統。這些系統收集、儲存、管理和傳輸患者的電子健康記錄(EMR)。醫療保健領域的巨量資料分析用於分析這些電子記錄，有助於降低醫療成本並支持人口健康管理。檢驗這些醫療數據最終將改善患者護理。例如，美國政府機構國家衛生資訊科技協調辦公室的一份報告指出，2020 年至 2022 年間，患者門戶網站的使用量將激增，造訪入口網站的病患數量將增加 50%。到 2022 年，全國超過一半的個人將透過醫療服務提供者或保險公司提供的應用程式或患者門戶網站在線訪問其健康訊息，64% 的患者將使用這些門戶網站來增加與醫療服務提供者訊息的頻率。因此，醫療資訊系統的普及預計將推動巨量資料醫療市場的未來發展。

人工智慧 (AI) 的日益普及預計將在未來幾年推動巨量資料醫療市場的成長。人工智慧是電腦科學的一個分支，專門創建系統和演算法，使機器能夠執行通常需要人類智慧才能完成的任務，例如學習、解決問題和決策。人工智慧的日益普及得益於技術進步、數據可用性的提高、提高效率的自動化需求以及各行業對個人化體驗的需求。醫療保健領域的巨量資料透過提供廣泛的患者資訊、醫療記錄和即時健康數據來促進人工智慧的普及，使人工智慧能夠創建更準確的預測模型、個人化治療和高效的診斷工具。例如，英國政府國家統計局的一份報告發現，公眾對人工智慧的認知在過去一年中有所提高。根據英國國家統計局 (ONS) 2023 年 5 月開展的“觀點與生活方式調查”，72% 的成年人至少能夠部分解釋人工智慧，而數據倫理與創新中心 2022 年 6 月至 7 月開展的“公眾對數據和人工智慧的態度追蹤調查”中，這一比例僅為 56%。在日常人工智慧使用情況方面，5% 的成年人表示經常使用，45% 的成年人表示偶爾使用。因此，人工智慧的日益普及正在推動巨量資料醫療市場的成長。

技術進步是推動巨量資料醫療市場發展的關鍵趨勢。該領域的眾多公司正在開發新產品和新技術，以鞏固其市場地位。例如，2022年3月，美國科技公司微軟公司宣布推出Azure健康數據服務。該服務旨在集中管理醫療保健數據，允許組織使用FHIR和DICOM等開放標準上傳、儲存、管理和分析醫療保健數據。 Azure健康數據服務支援來自相同資料儲存的事務性和分析性工作負載，使公司能夠利用進階分析和機器學習工具從醫療保健資料中獲取洞察，並最終改善病患治療效果和營運效率。

巨量資料醫療市場涵蓋提供分析解決方案的營業單位所產生的收益，這些解決方案旨在了解臨床情況並支持明智的診斷和治療決策。市場價值包括服務供應商銷售或包含在其服務產品中的相關商品的價值。僅包括營業單位之間交易或銷售給最終消費者的商品和服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球巨量資料醫療保健：PESTEL分析（政治、社會、科技、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球巨量資料醫療市場：成長率分析
  • 全球巨量資料醫療市場表現：規模與成長，2019-2024
  • 全球巨量資料醫療市場預測：2024-2029年及2034年規模與成長
  • 全球巨量資料醫療保健：總潛在市場（TAM）

第6章 市場細分

  • 全球巨量資料醫療市場：依組成部分、實際規模及預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 服務
  • 全球巨量資料醫療市場：依部署、表現與預測，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 雲
  • 全球巨量資料醫療市場分析（按類型、實際結果和預測），2019-2024 年、2024-2029 年、2034 年
  • 說明分析
  • 預測分析
  • 指示性分析
  • 全球巨量資料醫療市場：按應用程式、表現和預測，2019-2024 年、2024-2029 年、2034 年
  • 財務分析
  • 臨床數據分析
  • 營運分析
  • 人口健康分析
  • 全球巨量資料醫療市場：按最終用戶、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 醫院和診所
  • 金融和保險代理人
  • 研究機構
  • 全球巨量資料醫療市場：依軟體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 數據分析軟體
  • 資料管理軟體
  • 視覺化工具
  • 電子健康紀錄（EHR）系統
  • 臨床決策支援系統（CDSS）
  • 全球巨量資料醫療市場：按服務類型、績效和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 數據整合服務
  • 資料保全服務
  • 託管服務
  • 培訓和支援服務

第7章 區域和國家分析

  • 全球巨量資料醫療市場：依地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球巨量資料醫療市場：依國家/地區、績效及預測（2019-2024 年、2024-2029 年及 2034 年）

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 巨量資料醫療市場：競爭格局
  • 巨量資料醫療市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年巨量資料醫療市場：提供新機會的國家
  • 2029年巨量資料醫療市場：細分領域帶來新機會
  • 2029年巨量資料醫療市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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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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