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市场调查报告书
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1197110

基于云的医疗保健分析市场——增长、趋势、COVID-19 影响和预测 (2023-2028)

Healthcare Cloud Based Analytics Market - Growth, Trends, and Forecasts (2023 - 2028)
出版日期: | 出版商: Mordor Intelligence | 英文 116 Pages | 商品交期: 2-3个工作天内

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简介目录

医疗保健云分析市场预计在预测期内（2022 年至 2027 年）以 10.2% 的复合年增长率增长。

在 COVID-19 大流行期间，分析在医疗保健行业的作用大大增强。 例如，分析工具在大流行期间被广泛用于预测全球传染病的发病率和严重程度，并在控制大流行和开发针对 COVID-19 的疫苗方面发挥了重要作用。 例如，根据 2021 年 3 月公布的一项题为“应用大数据分析来控制 COVID-19 大流行”的研究报告，大数据分析技术是针对所有疾病和大流行的判断和预防措施所必需的。数据量已经随着时间的推移显着增长，特别是关于 COVID-19 带来的大流行，这对于了解该流行病以及如何快速阻止其传播至关重要。此外，大量数据需要使用大数据分析工具和人工智能技术。 此外，随着 COVID-19 新变种的发现，分析工具的作用有望增加，COVID-19 有望对基于云的医疗保健分析市场产生重大影响。

医疗行业日益数字化（电子病历、临床数据、医疗索赔等）正在产生大量数据。 因此，大数据分析正在被采用和整合，生成的数据必须经过处理才能产生可操作的见解，而数据分析工具在这个过程中发挥着关键作用。 因此，预计在预测期内对医疗保健分析工具的需求将增加，其中基于云的解决方案预计将占据主导地位，因为它们比非云解决方案具有显着优势。

例如，根据 2022 年 7 月发布的题为“可持续医疗保健系统中的大数据分析”的研究，大数据分析 (BDA) 可以识别趋势并将电子医疗保健数据转化为可操作的信息，以便做出明智的决策加强患者护理，以及用户医疗保健数据的数据分析和处理、存储和控制 医疗保健将成为一个可持续发展的平台，这是灵活技术发展的结果

同样，2022 年 1 月发表的一项题为“在医疗保健中使用大数据分析”的研究调查了波兰医疗机构是否正在使用大数据分析。医疗机构正在处理结构化和非结构化数据，并且已经转向分析以更好地了解临床以及行政和业务领域。 此外，根据同一消息来源，大数据分析可以改善全球医疗保健，并对患者护理和改善医疗设施的运作产生重大影响。 因此，大数据分析在医疗保健领域的巨大优势有望在预测期内增加其采用率，从而推动基于云的医疗保健分析市场的增长。

此外，这一领域的技术进步导致在市场上运营的公司推出新产品，并且他们在併购、合作和许可协议等发展和扩张方面处于领先地位。从事各种其他商业活动为了 预计这些活动将在预测期内进一步推动市场增长。 例如，2022 年 3 月，COPE Health Solutions 及其 Analytics for Risk Contracting (ARC) 子公司与 CareJourney 签订了合作协议，根据该协议，CareJourney 的一套源自医疗保险和医疗补助数据集的成本和使用基准将启用 COPE Health Solutions及其 Analytics for Risk Contracting (ARC) 子公司提供健康分析平台和解决方案，这些平台和解决方案集成了来自医疗保健提供者的索赔、电子病历、实验室、社会决定因素和其他数据。它看起来像

此外，政府在医疗保健领域引入和利用大数据分析方面的举措预计将进一步促进所研究市场的增长。 例如，印度政府已经建立了一个公共仪表板，以提供关于 Ayushman Bharat Digital Mission (ABDM) 的近乎实时的信息，这是国家卫生局 (NHA) 的一项旗舰计划。帐户 (ABHA) 号码、健康从业者註册 (HPR) 和医疗机构註册现在在 ABDM 公共仪表板 (HFR) 上有详细说明。 因此，由于上述因素，医疗保健云分析市场有望在预测期内增长。 然而，有关数据隐私、初始部署成本、软件复杂性等的安全问题预计将在预测期内限制所研究市场的增长。

基于医疗保健云的分析市场趋势

在基于云的医疗保健分析市场中，预测分析部分预计将占据很大的市场份额

预测分析是医疗保健分析的第二阶段，相信自己拥有完整、准确的描述性分析程序的组织可以进入下一阶段的分析。 预测分析使用数据挖掘、机器学习、预测建模、统计技术和其他高级计算技术，根据可用的描述性数据确定可能的未来。 预测分析可以通过更好的管理帮助降低多种成本，减少再次入院，消除不必要的诊断测试和治疗程序，并减少不必要的急诊室就诊。

例如，根据 2020 年 3 月发表的题为“医疗保健中的大数据分析”的研究论文，“医疗保健中的大数据分析：系统文献综述”指出，数据分析将被建议用于资源医生的分配、患者概况分析以及护士对特定疾病患者的协助。 因此，越来越多地采用预测分析解决方案有望促进市场的增长。

不断上升的全球医疗保健成本预计将成为预测分析领域增长的主要驱动力，因为这些解决方案可以显着降低医疗保健成本。 例如，根据 Destatis 2022 年的更新，德国的医疗保健支出随着该国慢性病负担的增加而增加，估计 2021 年为 4658 亿欧元，而 2020 年为 4406 亿欧元。

此外，预计对开发和推出新的预测分析工具的新投资将对所研究的细分市场产生积极影响。 例如，2021 年 3 月，Health Catalyst, Inc. 宣布推出 Healthcare.AI，旨在解决医疗保健行业在收入、成本和质量方面的商机和挑战。 因此，由于上述因素，预测分析部分预计将在预测期内占据研究市场的很大份额。

在预测期内，北美将占据重要的市场份额

北美地区是基于云的医疗保健分析市场的主要参与者，原因是疾病负担高导致医疗保健成本高、电子健康记录 (EHR) 等数字解决方案的采用率高以及主要市场的存在该地区的玩家，有望分一杯羹。 例如，加拿大初创公司Bluedot在中国武汉爆发大流行病时是第一批发出警告的公司之一，这得益于其在传染病、大数据分析和数字技术方面的专业知识。我能够做到这一点是因为我在那里。 此外，该地区国家的医疗保健支出正在增加，预计这将进一步推动基于云的医疗保健分析平台的采用，旨在简化医疗保健部门并减少不必要的成本。 例如，根据加拿大健康信息研究所发布的《2021年国民健康支出趋势》报告，加拿大的医疗保健支出从2020年的3015亿美元增加到2021年的3081亿美元。 因此，随着医疗保健成本的增加和大数据分析在医疗保健中的作用越来越大，预计该地区对分析工具的采用将会增加，这有望在预测期内推动市场。

在北美地区，美国的医疗保健设施是数字化程度最高的地区之一，医疗保健信息技术投资不断增加，医疗保健成本高，以及在该地区运营的公司的市场渗透率。美国有望成为领先者由于预计将推出 20 种新产品，因此在基于云的医疗保健分析市场占有一席之地。 例如，根据 2020 年 12 月发表的题为“评估美国和非美国卫生系统对电子健康记录的使用”的研究，美国临床医生与其他国家/地区的同行相比，由于 EHR 在许多临床中得到积极使用运营和 EHR 往往会产生大量的医疗数据，因此预计该国对基于云的医疗分析工具的需求将增加。，正在推动调查市场的增长。

除此之外，几家主要国内市场参与者的存在以及产品发布、併购以及与其他公司的合作伙伴关係等业务扩张努力有望进一步推动市场增长。 例如，2022 年 6 月，WTW 将推出 HPL Quantified，这是一种针对医疗保健行业客户的新风险和分析工具，专门针对与医院专业责任相关的风险。为客户提供一套独特的评估选项，以优化风险转移重点（HPL ). 因此，由于上述因素，预计北美地区将在预测期内占据所研究市场的很大份额，其中美国是该地区的主要市场。

医疗保健云分析市场的竞争对手分析

医疗保健云分析市场的竞争很低，因为市场存在多个参与者，因此市场分散。 大多数基于云的医疗保健分析服务由世界领先的公司提供。 市场上的主要参与者包括 IBM、Allscripts Healthcare Solutions、Oracle（Cerner Corporation）、Mckesson Corporation、Koninklijke Philips N.V.等。

其他好处

  • Excel 格式的市场预测 (ME) 表
  • 三个月的分析师支持

内容

第1章介绍

  • 研究假设和市场定义
  • 调查范围

第2章研究方法论

第 3 章执行摘要

第4章市场动态

  • 市场概览
  • 市场驱动力
    • 将大数据整合到医疗保健中
    • 数据分析方面的技术进步
    • 积极的政府举措
  • 市场製约因素
    • 数据隐私和安□□全问题
    • 软件的初始成本和復杂性
  • 波特的五力分析
    • 新进入者的威胁
    • 买方/消费者议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争公司之间的敌对关係

第 5 章市场细分（基于价值的市场规模：百万美元）

  • 按技术类型
    • 预测分析
    • 规范分析
    • 描述性分析
  • 通过申请
    • 临床数据分析
    • 行政数据分析
    • 调查数据分析
    • 其他
  • 按组件
    • 硬件
    • 软件
  • 按地区
    • 北美
      • 美国
      • 加拿大
      • 墨西哥
    • 欧洲
      • 德国
      • 英国
      • 法国
      • 意大利
      • 西班牙
      • 其他欧洲地区
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 澳大利亚
      • 韩国
      • 其他亚太地区
    • 中东
      • 海湾合作委员会
      • 南非
      • 其他中东地区
    • 南美洲地区
      • 巴西
      • 阿根廷
      • 其他南美洲

第六章竞争格局

  • 公司简介
    • Allscripts Healthcare, LLC
    • Oracle（Cerner corporation）
    • CitiusTech
    • HP
    • IBM
    • McKesson
    • Optum Health
    • Verisk Analytics
    • UnitedHealth Group
    • McKesson Corporation
    • Microsoft
    • MedeAnalytics, Inc.
    • Health Catalyst

第7章 市场机会与今后动向

简介目录
Product Code: 49120

The healthcare cloud-based analytics market is projected to register a CAGR of 10.2% during the forecast period (2022-2027).

The role of analytics increased significantly during the COVID-19 pandemic in the healthcare sector. For example, the analytics tools were widely used during the pandemic in the prediction of the incidence and severity of the infection in different parts of the world and, they played a crucial role in the containment of the pandemic and vaccine development against COVID-19. For instance, according to the research study published in March 2021, titled "Applications of Big Data Analytics to Control COVID-19 Pandemic", the big data analytics technologies are essential for developing the knowledge needed to make judgments and take preventative action against any disease or pandemic, and amount of data grows significantly over time, particularly the data produced regarding the global epidemic brought on by COVID-19 and to make sense of the epidemic and quickly stop its spread, a large volume of data necessitates the use of big data analytics tools and artificial intelligence techniques. Further, the role of analytics tools is expected to increase as new variants of COVID-19 are being found and it is expected that COVID-19 would have a significant impact on the healthcare cloud-based analytics market.

The increasing digitalization in the healthcare industry (such as electronic health records, clinical data, and medical claims among others) is generating a huge amount of data, due to which the adoption and integration of big data analytics are increasing as the data generated need to be processed so that actionable insights can be generated and in this process, the data analytics tools play a significant role and hence, the demand for healthcare analytics tools is expected to increase over the forecast period, in which the cloud-based solutions would be a major one as they offer significant advantages over non-cloud solutions.

For instance, according to the research study published in July 2022, titled "Big Data Analytics in Sustainable Healthcare Systems", big data analytics (BDA) can identify trends and transform highly voluminous electronic healthcare data into usable information so that informed decisions can be made to enhance patient care and further, the healthcare becomes a sustainable platform as a result of the development of data analytics and flexible techniques for handling, storing, and controlling user healthcare data.

Similarly, according to the research study titled "The Use of Big Data Analytics in Healthcare", published in January 2022, the study was conducted in Poland on whether medical facilities in Poland use big data analytics and it was observed that the medical facilities work on both structured and unstructured data and in both the administrative and business realms as well as the clinical one, they turn to analytics for better insights. Also, as per the same source, big data analytics can improve healthcare globally and have a significant impact on improving patient care and the functioning of any medical facility. Hence, owing to the significant advantages of big data analytics in healthcare, their adoption is expected to increase over the forecast period and that is expected to fuel growth in the healthcare cloud-based analytics market.

Moreover, the technological advancement in the area is leading to the launch of new products from the companies operating in the market and, they are engaged in various other business activities for the development and expansion of their such as mergers and acquisitions, collaborations, licensing agreements, and others. These activities are further expected to boost market growth over the forecast period. For example, in March 2022, COPE Health Solutions and its Analytics for Risk Contracting (ARC) subsidiary signed a partnership agreement with CareJourney, and with this agreement, with the help of CareJourney's suite of cost and utilization benchmarks derived from Medicare and Medicaid datasets, COPE Health Solutions and its Analytics for Risk Contracting (ARC) subsidiary can offer health analytics platforms and solutions that integrate claims, electronic health records, lab, social determinants, and other data from a healthcare organization.

In addition, government initiatives in the area of adoption and use of big data analytics in healthcare are further expected to augment the growth of the studied market. For instance, a public dashboard for near real-time information on the Ayushman Bharat Digital Mission (ABDM), the National Health Authority's (NHA) flagship program, has been established by the Government of India, and the Ayushman Bharat Health Account (ABHA) numbers, Healthcare Professionals Registry (HPR), and Health Facility Registry are all displayed in detail on the ABDM public dashboard (HFR). Therefore, due to the above-mentioned factors, the healthcare cloud-based analytics market is expected to grow during the forecast period. However, security concerns regarding data privacy, initial deployment cost, and complexity of software are expected to restrain the growth of the studied market over the forecast period.

Healthcare Cloud Based Analytics Market Trends

Predictive Analytics Segment is Expected to Hold a Significant Market Share in Healthcare Cloud Based Analytics Market

Predictive analytics is the second stage of analytics in healthcare and organizations that are convinced that they have a complete and accurate descriptive analytics program move to the next stage of analytics. Predictive analytics uses data mining, machine learning, predictive modeling and statistical techniques, and other advanced computing techniques, to determine the probable future, based on the available descriptive data. Predictive analytics can be instrumental in reducing costs at multiple fronts through proper management which can help in reducing hospital readmissions, eliminating unnecessary diagnostic tests and treatment procedures, and reducing unnecessary emergency room visits.

For instance, as per the research article published in March 2020 titled "Big Data Analytics in Healthcare: A Systematic Literature Review", suggested that data analytics can help in resource allocation in hospitals, doctors in patient profiling, and nurses in providing disease-specific patient facilitation. Hence, the adoption of predictive analytics solutions is expected to increase which is expected to boost the market growth.

The increasing healthcare expenditure across the globe is expected to be the major driving factor for the growth of the predictive analytics segment as these solutions can significantly reduce healthcare costs. For instance, the healthcare expenditure of Germany is increasing with the rising burden of chronic diseases in the country, and it stood at an estimated EUR 465.8 billion in 2021 as compared to EUR 440.6 billion in 2020, as per the 2022 update of the Destatis.

Further, the new investment in the development and launch of new predictive analytics tools is expected to have a positive impact on the studied segment. For instance, in March 2021, Health Catalyst, Inc. launched Healthcare.AI which is designed to address healthcare business opportunities and challenges across revenue, cost, and quality. Hence, owing to the aforementioned factors, the predictive analytics segment is expected to hold a significant share in the studied market over the forecast period.

North America Region is Expected to Occupy a Significant Market Share Over the Forecast Period

The North American region is expected to hold a significant share in the healthcare cloud-based analytics market due to the high healthcare expenditure owing to the high burden of diseases, high adoption of digital solutions like electronic health records (EHRs), and the presence of some of the key market players in the region. For example, a Canadian startup, BlueDot Inc. was one of the first to send a cautionary advisory regarding the outbreak of the pandemic in Wuhan, China, and the company was able to do with its expertise in infectious diseases, big data analytics, and digital technologies. Further, the healthcare expenditure of countries in the region is increasing which is further expected to propel the adoption of the cloud-based healthcare analytics platform to streamline the healthcare sector and cut unnecessary costs. For instance, according to the National Health Expenditure Trend 2021 report from the Canadian Institute of Health Information, Canadian health expenditure increased to USD 308.1 billion in 2021 as compared to USD 301.5 billion in 2020. Hence, it is expected that with the increasing healthcare cost and the increasing role of big data analytics in healthcare, the adoption of analytics tools is expected to increase in the region, and the market is anticipated to grow over the forecast period.

In the North American region, the United States is expected to be the major market for healthcare cloud-based analytics market as the healthcare facilities in the United States are one of the most digitalized ones, with growing investment in healthcare information technology, high healthcare expenditure, and launch of new products in the market by the companies present in the region. For instance, according to the research study published in December 2020, titled "Assessment of Electronic Health Record Use Between the US and Non-US Health Systems", when compared to their peers from other countries, clinicians from the United States used the EHR actively for a great deal more clinical tasks and as EHRs tends to generate a huge chunk of medical data, hence, the demand for cloud-based healthcare analytics tools is expected to increase in the country, driving growth in the studied market.

In addition to this, the presence of some key market players in the country and business expansion initiatives like product launches, mergers and acquisitions, and collaborations among others are expected to further boost the market growth. For instance, in June 2022, WTW launched a new risk and analytics tool for clients in the healthcare industry, focused particularly on risks associated with hospital professional liability, called 'HPL Quantified' that provides clients with a unique set of assessment options to optimize their risk transfer, focused on Hospital Professional Liability (HPL). Therefore, due to the above-mentioned factors, the North American region is expected to hold a significant share in the studied market over the forecast period, with the United States being the major market in the region.

Healthcare Cloud Based Analytics Market Competitor Analysis

The market is fragmented due to the presence of several players and thus, the healthcare cloud-based analytics market is moderately competitive. The majority of healthcare cloud-based analytics services are being provided by the global key players. Some of the key players operating in the market are IBM, Allscripts Healthcare Solutions, Oracle (Cerner Corporation), Mckesson Corporation, and Koninklijke Philips N.V. among others.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Integration of Big Data into Healthcare
    • 4.2.2 Technological Advancements in Data Analytics
    • 4.2.3 Favorable Government Initiatives
  • 4.3 Market Restraints
    • 4.3.1 Data Privacy and Security Concern
    • 4.3.2 Initial Cost and Complexity of Software
  • 4.4 Porter's Five Forces Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION (Market Size by Value - USD million)

  • 5.1 By Technology Type
    • 5.1.1 Predictive Analytics
    • 5.1.2 Prescriptive Analytics
    • 5.1.3 Descriptive Analytics
  • 5.2 By Application
    • 5.2.1 Clinical Data Analytics
    • 5.2.2 Administrative Data Analytics
    • 5.2.3 Research Data Analytics
    • 5.2.4 Others
  • 5.3 By Component
    • 5.3.1 Hardware
    • 5.3.2 Software
  • 5.4 Geography
    • 5.4.1 North America
      • 5.4.1.1 United States
      • 5.4.1.2 Canada
      • 5.4.1.3 Mexico
    • 5.4.2 Europe
      • 5.4.2.1 Germany
      • 5.4.2.2 United Kingdom
      • 5.4.2.3 France
      • 5.4.2.4 Italy
      • 5.4.2.5 Spain
      • 5.4.2.6 Rest of Europe
    • 5.4.3 Asia-Pacific
      • 5.4.3.1 China
      • 5.4.3.2 Japan
      • 5.4.3.3 India
      • 5.4.3.4 Australia
      • 5.4.3.5 South Korea
      • 5.4.3.6 Rest of Asia-Pacific
    • 5.4.4 Middle East
      • 5.4.4.1 GCC
      • 5.4.4.2 South Africa
      • 5.4.4.3 Rest of Middle East
    • 5.4.5 South America
      • 5.4.5.1 Brazil
      • 5.4.5.2 Argentina
      • 5.4.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Allscripts Healthcare, LLC
    • 6.1.2 Oracle (Cerner corporation)
    • 6.1.3 CitiusTech
    • 6.1.4 HP
    • 6.1.5 IBM
    • 6.1.6 McKesson
    • 6.1.7 Optum Health
    • 6.1.8 Verisk Analytics
    • 6.1.9 UnitedHealth Group
    • 6.1.10 McKesson Corporation
    • 6.1.11 Microsoft
    • 6.1.12 MedeAnalytics, Inc.
    • 6.1.13 Health Catalyst

7 MARKET OPPORTUNITIES AND FUTURE TRENDS