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到 2030 年的医疗保健预测分析市场预测 - 按组件、产品模型、用途、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1339984

到 2030 年的医疗保健预测分析市场预测 - 按组件、产品模型、用途、最终用户和地区进行的全球分析

Healthcare Predictive Analytics Market Forecasts to 2030 - Global Analysis By Component, Delivery Model, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球医疗保健预测分析市场规模将达到 143.2 亿美元，预计到 2030 年将达到 589.4 亿美元，预测期内年复合成长率为 22.4%。

预测分析是高级分析的一个子集，用于预测未知的未来事件。医疗保健预测分析用于从现有临床和财务资料集中提取资料，以预测潜在的资料并确定可用于提供适当护理的趋势。预测分析不仅可以预测患者的潜在医学结果，还可以帮助保险公司为其客户提供更好、更相关的健康保险优惠。

根据世界卫生组织（WHO）公布的资料，2021年全球共註册临床研究59,964项。

市场动态：

促进因素

  • 预测分析在医疗保健领域的重要性日益增加。
  • 医疗保健分析预计将从预测医疗分析市场的扩张中受益。预测分析使医疗保健专业人员能够快速识别潜在的健康问题并采取预防措施。医疗保健提供商可以利用来自医疗传感器、临床实验室、药房资讯系统等的资料为患者提供专业的个性化护理。医疗保健提供者可以使用预测分析来预测未来的健康趋势、识别高危患者併计划有效的干预措施。

抑制因素

  • 医疗保健基础设施不足；
  • 预计市场增长将因缺乏强大的医疗基础设施而受到限制。由于缺乏可靠的基础设施和更新投资的需要，对更准确、更可靠的预测模型的需求不断增长。有效的运营和项目的可扩展性取决于强大的基础设施。目前，这已被证明是市场的主要製约因素。

机会：

  • 扩大电子健康记录的使用。
  • 近年来，电子健康记录（EHR）对患者资料的使用有所增加。在美国，诊所医生的 EHR比例从 2008 年的 42% 增加到 2017 年的近 86%。基于 EHR 的医疗保健预测分析为任何医疗程序或药物提供最佳治疗策略。这不仅显着降低了患者的费用，而且提供了更好的结果。分析工具、人工智能和电子医疗系统的利用预计将推动市场扩张。

威胁：

  • 资料隐私问题。
  • 数字医疗解决方案采用率较低的主要原因是最近的资料洩露和患者隐私问题。医疗机构保存着完整的患者记录，包括患者姓名、出生日期、地址、社会安全号码、支付账户资讯等，这使得它们成为网络攻击的目标。患者不愿意向在线服务和项目提供他们的医疗记录。因此，医疗保健预测分析等数字健康解决方案的采用预计在不久的将来会因医疗保健资料洩露频率的增加而受到阻碍。

COVID-19 的影响：

  • COVID-19 大流行给该行业带来了巨大成本。预测分析在应对与 COVID-19 相关的挑战、减少不良患者结果的数量以及解决危机期间的资源管理方面发挥了重要作用。疫情期间产生的大量患者资料不仅为分析公司和医疗保健行业提供了正确分析疾病传播的资料，还为正确分配资源提供了数据。此外，对数字健康的投资增加以及预测医疗分析在临床研究和药物开发中的新用途支持了大流行期间的市场增长。
  • 预计金融领域在预测期内将是最大的
  • 预计金融领域在预测期内将占据最大的市场份额。医疗保健行业欺诈发生率的上升以及医疗保健机构对财务分析解决方案的需求不断增长预计将在预测期内推动对财务分析领域的需求。例如，根据 Etropics, Inc. 的数据，2021 年美国医疗保健诈骗犯罪的损失中位数超过 100 万美元。随着世界各地医疗保健欺诈案件的增加，对财务分析解决方案的需求不断增加。
  • 预计付款人细分市场在预测期内的年复合成长率最高。
  • 预计供应商细分市场在预测期内将以最高年复合成长率增长。医院数量的增加以及医疗机构中医疗分析软件的实施可能会推动该领域的增长。例如，欧洲医院登记册估计，到 2020 年，欧洲将有超过 19,000 家医院。因此，新医院的开业和医疗保健分析软件的使用增加进一步推动了这一领域的增长。

占比最大的地区：

由于该地区存在大型竞争，预计北美将在 2022 年在全球医疗保健预测分析市场中占据最大份额，并在预测期内保持主导地位。医疗保健组织也越来越意识到健康的社会要素因素对患者福祉比医学问题具有更大的积极影响。此外，医疗保健系统的进步、训练有素的预测分析人员的可用性以及培训员工使用这些分析工具的资金筹措便利性正在推动市场增长。

复合年复合成长率最高的地区：

预计亚太地区在预测期内復合年复合成长率最高。由于中国和印度等国家电子医疗计划的不断发展，以及医疗机构对医疗保健分析管理大量患者资料的需求不断增长，该地区正在不断扩张。我是。在不久的将来，随着 EHR 相关产品的不断推出，预计亚太地区医疗保健预测分析解决方案的采用将会加速。

免费定制服务：

订阅此报告的客户将收到以下免费定制选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（注：基于可行性检查）
  • 竞争标杆管理
    • 根据产品系列、地域分布和战略联盟对主要企业进行基准测试

目录

第1章执行摘要

第2章前言

  • 概述
  • 利益相关者
  • 调查范围
  • 调查方法
    • 资料挖掘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球医疗保健预测分析市场：按组成部分

  • 硬体
  • 服务
  • 软体

第6章全球医疗保健预测分析市场：按提供模式划分

  • 独立
  • 整合的

第7章全球医疗保健预测分析市场：按用途

  • 金融
    • 欺诈侦测
    • 收入周期管理
    • 其他财务用途
  • 人口健康
    • 患者参与
    • 集体风险管理
    • 团体治疗管理
    • 其他用途
  • 临床
    • 质量基准
    • 改善患者照护
    • 临床结果分析和管理
  • 经营管理
    • 需求预测
    • 住院安排
    • 劳动力规划和调度
    • 门诊排班

第8章全球医疗保健预测分析市场：按最终用户分类

  • 付款人
    • 私人保险公司
    • 政府机关
    • 雇主和私人交易所
  • 提供者
    • 门诊
    • 医院、医生诊所、IDN
    • 急性后组织
    • 其他最终用户

第9章全球医疗保健预测分析市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第10章进展

  • 合同、伙伴关係、联盟和合资企业
  • 收购和合併
  • 新产品上市
  • 业务扩展
  • 其他关键策略

第11章公司简介

  • Allscripts Healthcare Solutions, Inc.
  • Cerner Corporation
  • Health Catalyst
  • IBM Corporation
  • Information Builders Inc.
  • Inovalon
  • Linguamatics
  • Mckesson Corporation
  • Medeanalytics, Inc
  • Optum Inc
  • Oracle Corporation
  • SAS Institute Inc.
  • SCIO Health Analytics
  • Verisk Analytics, Inc.
  • VitreosHealth
  • Wipro Limited
Product Code: SMRC23691

According to Stratistics MRC, the Global Healthcare Predictive Analytics Market is accounted for $14.32 billion in 2023 and is expected to reach $58.94 billion by 2030 growing at a CAGR of 22.4% during the forecast period. Predictive analytics is a subset of advanced analytics that is used to forecast unknowable future events. Healthcare predictive analytics is used to extract data from already-existing clinical and financial data sets in order to identify trends that could be used to predict potential treatments and help deliver appropriate care. Predictive analytics assists insurance companies in offering their clients better and more suitable health insurance policies in addition to forecasting potential medical outcomes for the patients.

According to the data published by the World Health Organization (WHO), in 2021, 59,964 clinical studies were registered worldwide.

Market Dynamics:

Driver:

  • Growing relevance of predictive analytics in healthcare.
  • Healthcare analytics is expected to benefit from the growing market for predictive healthcare analytics. Using predictive analytics, healthcare professionals can quickly identify potential health problems and take preventive action. Healthcare providers can provide specialized and individualized patient care with the aid of data from medical sensors, clinical laboratories, pharmacy information systems, and other sources. The healthcare provider can forecast future health trends using predictive analytics, identify patients who are at risk, and create effective intervention plans.

Restraint:

  • Inadequate healthcare infrastructure.
  • The growth of the market is anticipated to be constrained by the absence of a strong healthcare infrastructure. The need for more precise and reliable prediction models is growing along with the lack of reliable infrastructure and the expanding need for renewal investments. Effective operations and project scalability depend on a strong infrastructure. This is currently proving to be a key market constraint.

Opportunity:

  • Rising use of electronic health records.
  • The use of Electronic Health Records (EHRs) for patient data has increased in recent years. In the US, office-based physicians adopted EHRs at a rate of nearly 86% in 2017, up from 42% in 2008. The best course of action for any medical procedure or medication is provided by healthcare predictive analytics using EHRs. This not only significantly lowers the costs for patients but also produces better results. The use of analytics tools, AI, and electronic health systems is expected to drive the market's expansion.

Threat:

  • Data privacy issues.
  • The lower adoption of digital health solutions is primarily due to recent data breaches and patient privacy concerns. Healthcare institutions keep thorough patient records that include the patient's name, date of birth, address, social security number, and payment account information, making them targets for cyberattacks. The patients are reluctant to give their medical records to online services and programs. Therefore, the adoption of digital health solutions, such as healthcare predictive analytics, is expected to be hampered in the near future by the rising frequency of healthcare data breaches.

COVID-19 Impact:

  • The COVID-19 pandemic resulted in massive costs for the industry. Predictive analytics has played a major role in combating issues related to COVID-19, reducing the number of poor outcomes for patients, and addressing the management of resources during the crisis. The enormous amount of patient data generated during the pandemic not only provided analytics companies and the healthcare industry with data to correctly analyze the spread of disease but also helped in the correct allocation of resources. Additionally, growing investments in digital health and new uses for healthcare predictive analytics in clinical research and drug development helped the market grow during the pandemic.
  • The financial segment is expected to be the largest during the forecast period
  • During the forecast period, the financial segment is anticipated to hold the largest market share. The demand for the financial analytics segment is anticipated to be driven during the forecast period by the rising incidence of financial fraud in the healthcare sector and the rising demand for financial analytics solutions in healthcare facilities. The median loss for healthcare fraud offenses in the U.S. in 2021, for example, was more than USD 1.0 million, according to Etactics, Inc. As healthcare fraud cases across the globe rise, there is a growing need for financial analytical solutions.
  • The payers segment is expected to have the highest CAGR during the forecast period
  • Over the forecast period, the provider segment is anticipated to grow at the highest CAGR. The rise in hospitals and the adoption of healthcare analytic software in healthcare facilities are credited with driving the segment's growth. For instance, the European Hospital Register estimates that there will be over 19,000 hospitals in Europe by the year 2020. As a result, the growth of the segment is being further fueled by the opening of new hospitals and the expanding use of healthcare analytics software.

Region with largest share:

Due to the presence of significant competitors in the region, North America held the largest share of the global healthcare predictive analytics market in 2022 and is anticipated to continue dominating during the forecast period. Healthcare organizations are also becoming aware of the fact that social determinants of health have a greater positive impact on a patient's wellbeing than do medical problems. Moreover, the developed healthcare system, the accessibility of trained personnel for predictive analysis, and the accessibility of funding for staff training in the use of these analytics tools have all aided in the market's growth.

Region with highest CAGR:

During the forecast period, Asia-Pacific is anticipated to have the highest CAGR. This region is expanding as a result of the expansion of e-health initiatives in nations like China and India as well as the rising demand for healthcare analytics in healthcare facilities to manage a large amount of patient data. In the near future, it is anticipated that this, along with an increase in EHR-related product launches, will drive the adoption of healthcare predictive analytics solutions in this Asia-Pacific region.

Key players in the market:

Some of the key players profiled in the Healthcare Predictive Analytics Market include: Allscripts Healthcare Solutions, Inc., Cerner Corporation, Health Catalyst, IBM Corporation, Information Builders Inc., Inovalon , Linguamatics, Mckesson Corporation, Medeanalytics, Inc, Optum Inc, Oracle Corporation, SAS Institute Inc., SCIO Health Analytics, Verisk Analytics, Inc., VitreosHealth and Wipro Limited.

Key Developments:

  • In June 2023, The National Association of Boards of Pharmacy® (NABP®) and IBM Consulting are pleased to announce their collaboration to build Pulse by NABP™, a new digital platform that is intended to bring visibility to the drug supply chain and help protect patients from counterfeit or substandard prescription medications.
  • In July 2023, Veradigm Inc. announced the signing of two multi-year healthcare provider agreements during the second quarter. One of Veradigm's largest Veradigm EHR clients, State of Franklin Healthcare Associates (SOFHA), a physician-owned and led primary care and multi-specialty healthcare system in upper East Tennessee and Southwest Virginia, expanded its agreement with Veradigm to include Veradigm Revenue Cycle Services.
  • In May 2022, IBM announced the expansion of its roadmap for achieving large-scale, practical quantum computing. This roadmap details plans for new modular architectures and networking that will allow IBM quantum systems to have larger qubit-counts - up to hundreds of thousands of qubits.

Components Covered:

  • Hardware
  • Services
  • Software

Delivery Models Covered:

  • Stand Alone
  • Integrated

Applications Covered:

  • Financial
  • Population Health
  • Clinical
  • Operational and Administrative

End Users Covered:

  • Payers
  • Providers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026 and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Healthcare Predictive Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Services
  • 5.4 Software

6 Global Healthcare Predictive Analytics Market, By Delivery Model

  • 6.1 Introduction
  • 6.2 Stand Alone
  • 6.3 Integrated

7 Global Healthcare Predictive Analytics Market, By Application

  • 7.1 Introduction
  • 7.2 Financial
    • 7.2.1 Fraud Detection
    • 7.2.2 Revenue Cycle Management
    • 7.2.3 Other Financial Applications
  • 7.3 Population Health
    • 7.3.1 Patient Engagement
    • 7.3.2 Population Risk Management
    • 7.3.3 Population Therapy Management
    • 7.3.4 Other Applications
  • 7.4 Clinical
    • 7.4.1 Quality Benchmarking
    • 7.4.2 Patient Care Enhancement
    • 7.4.3 Clinical Outcome Analysis and Management
  • 7.5 Operational and Administrative
    • 7.5.1 Demand Forecasting
    • 7.5.2 Inpatient Scheduling
    • 7.5.3 Workforce Planning and Scheduling
    • 7.5.4 Outpatient Scheduling

8 Global Healthcare Predictive Analytics Market, By End User

  • 8.1 Introduction
  • 8.2 Payers
    • 8.2.1 Private Insurance Companies
    • 8.2.2 Government Agencies
    • 8.2.3 Employers and Private Exchanges
  • 8.3 Providers
    • 8.3.1 Ambulatory Settings
    • 8.3.2 Hospitals, Physician Practices and IDNs
    • 8.3.3 Post-acute Organizations
    • 8.3.4 Other End Users

9 Global Healthcare Predictive Analytics Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Allscripts Healthcare Solutions, Inc.
  • 11.2 Cerner Corporation
  • 11.3 Health Catalyst
  • 11.4 IBM Corporation
  • 11.5 Information Builders Inc.
  • 11.6 Inovalon
  • 11.7 Linguamatics
  • 11.8 Mckesson Corporation
  • 11.9 Medeanalytics, Inc
  • 11.10 Optum Inc
  • 11.11 Oracle Corporation
  • 11.12 SAS Institute Inc.
  • 11.13 SCIO Health Analytics
  • 11.14 Verisk Analytics, Inc.
  • 11.15 VitreosHealth
  • 11.16 Wipro Limited

List of Tables

  • Table 1 Global Healthcare Predictive Analytics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Healthcare Predictive Analytics Market Outlook, By Country (2021-2030) ($MN)
  • Table 3 Global Healthcare Predictive Analytics Market Outlook, By Component (2021-2030) ($MN)
  • Table 4 Global Healthcare Predictive Analytics Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 5 Global Healthcare Predictive Analytics Market Outlook, By Services (2021-2030) ($MN)
  • Table 6 Global Healthcare Predictive Analytics Market Outlook, By Software (2021-2030) ($MN)
  • Table 7 Global Healthcare Predictive Analytics Market Outlook, By Delivery Model (2021-2030) ($MN)
  • Table 8 Global Healthcare Predictive Analytics Market Outlook, By Stand Alone (2021-2030) ($MN)
  • Table 9 Global Healthcare Predictive Analytics Market Outlook, By Integrated (2021-2030) ($MN)
  • Table 10 Global Healthcare Predictive Analytics Market Outlook, By Application (2021-2030) ($MN)
  • Table 11 Global Healthcare Predictive Analytics Market Outlook, By Financial (2021-2030) ($MN)
  • Table 12 Global Healthcare Predictive Analytics Market Outlook, By Fraud Detection (2021-2030) ($MN)
  • Table 13 Global Healthcare Predictive Analytics Market Outlook, By Revenue Cycle Management (2021-2030) ($MN)
  • Table 14 Global Healthcare Predictive Analytics Market Outlook, By Other Financial Applications (2021-2030) ($MN)
  • Table 15 Global Healthcare Predictive Analytics Market Outlook, By Population Health (2021-2030) ($MN)
  • Table 16 Global Healthcare Predictive Analytics Market Outlook, By Patient Engagement (2021-2030) ($MN)
  • Table 17 Global Healthcare Predictive Analytics Market Outlook, By Population Risk Management (2021-2030) ($MN)
  • Table 18 Global Healthcare Predictive Analytics Market Outlook, By Population Therapy Management (2021-2030) ($MN)
  • Table 19 Global Healthcare Predictive Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 20 Global Healthcare Predictive Analytics Market Outlook, By Clinical (2021-2030) ($MN)
  • Table 21 Global Healthcare Predictive Analytics Market Outlook, By Quality Benchmarking (2021-2030) ($MN)
  • Table 22 Global Healthcare Predictive Analytics Market Outlook, By Patient Care Enhancement (2021-2030) ($MN)
  • Table 23 Global Healthcare Predictive Analytics Market Outlook, By Clinical Outcome Analysis and Management (2021-2030) ($MN)
  • Table 24 Global Healthcare Predictive Analytics Market Outlook, By Operational and Administrative (2021-2030) ($MN)
  • Table 25 Global Healthcare Predictive Analytics Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 26 Global Healthcare Predictive Analytics Market Outlook, By Inpatient Scheduling (2021-2030) ($MN)
  • Table 27 Global Healthcare Predictive Analytics Market Outlook, By Workforce Planning and Scheduling (2021-2030) ($MN)
  • Table 28 Global Healthcare Predictive Analytics Market Outlook, By Outpatient Scheduling (2021-2030) ($MN)
  • Table 29 Global Healthcare Predictive Analytics Market Outlook, By End User (2021-2030) ($MN)
  • Table 30 Global Healthcare Predictive Analytics Market Outlook, By Payers (2021-2030) ($MN)
  • Table 31 Global Healthcare Predictive Analytics Market Outlook, By Private Insurance Companies (2021-2030) ($MN)
  • Table 32 Global Healthcare Predictive Analytics Market Outlook, By Government Agencies (2021-2030) ($MN)
  • Table 33 Global Healthcare Predictive Analytics Market Outlook, By Employers and Private Exchanges (2021-2030) ($MN)
  • Table 34 Global Healthcare Predictive Analytics Market Outlook, By Providers (2021-2030) ($MN)
  • Table 35 Global Healthcare Predictive Analytics Market Outlook, By Ambulatory Settings (2021-2030) ($MN)
  • Table 36 Global Healthcare Predictive Analytics Market Outlook, By Hospitals, Physician Practices and IDNs (2021-2030) ($MN)
  • Table 37 Global Healthcare Predictive Analytics Market Outlook, By Post-acute Organizations (2021-2030) ($MN)
  • Table 38 Global Healthcare Predictive Analytics Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.