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到 2030 年的醫療保健預測分析市場預測 - 按組件、產品模型、用途、最終用戶和地區進行的全球分析
市場調查報告書
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1339984

到 2030 年的醫療保健預測分析市場預測 - 按組件、產品模型、用途、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球醫療保健預測分析市場規模將達到 143.2 億美元，預計到 2030 年將達到 589.4 億美元，預測期內年複合成長率為 22.4%。

預測分析是高級分析的一個子集，用於預測未知的未來事件。醫療保健預測分析用於從現有臨床和財務資料集中提取資料，以預測潛在的資料並確定可用於提供適當護理的趨勢。預測分析不僅可以預測患者的潛在醫學結果，還可以幫助保險公司為其客戶提供更好、更相關的健康保險優惠。

根據世界衛生組織（WHO）公佈的資料，2021年全球共註冊臨床研究59,964項。

市場動態：

促進因素

  • 預測分析在醫療保健領域的重要性日益增加。
  • 醫療保健分析預計將從預測醫療分析市場的擴張中受益。預測分析使醫療保健專業人員能夠快速識別潛在的健康問題並採取預防措施。醫療保健提供商可以利用來自醫療感測器、臨床實驗室、藥房資訊系統等的資料為患者提供專業的個性化護理。醫療保健提供者可以使用預測分析來預測未來的健康趨勢、識別高危患者併計劃有效的干涉措施。

抑制因素

  • 醫療保健基礎設施不足；
  • 預計市場成長將因缺乏強大的醫療基礎設施而受到限制。由於缺乏可靠的基礎設施和更新投資的需要，對更準確、更可靠的預測模型的需求不斷成長。有效的營運和項目的可擴展性取決於強大的基礎設施。目前，這已被證明是市場的主要阻礙因素。

機會：

  • 擴大電子健康記錄的使用。
  • 近年來，電子健康記錄（EHR）對患者資料的使用有所增加。在美國，診所醫生的 EHR比例從 2008 年的 42% 增加到 2017 年的近 86%。基於 EHR 的醫療保健預測分析為任何醫療程序或藥物提供最佳治療策略。這不僅顯著降低了患者的費用，而且提供了更好的結果。分析工具、人工智慧和電子醫療系統的利用預計將推動市場擴張。

威脅：

  • 資料隱私問題。
  • 數位醫療解決方案採用率較低的主要原因是最近的資料洩露和患者隱私問題。醫療機構保存著完整的患者記錄，包括患者姓名、出生日期、地址、社會安全號碼、支付賬戶資訊等，這使得它們成為網路攻擊的目標。患者不願意向線上服務和項目提供他們的醫療記錄。因此，醫療保健預測分析等數位健康解決方案的採用預計在不久的將來會因醫療保健資料洩露頻率的增加而受到阻礙。

COVID-19 的影響：

  • COVID-19 大流行給該行業帶來了巨大成本。預測分析在應對與 COVID-19 相關的挑戰、減少不良患者結果的數量以及解決危機期間的資源管理方面發揮了重要作用。疫情期間產生的大量患者資料不僅為分析公司和醫療保健行業提供了正確分析疾病傳播的資料，還為正確分配資源提供了數據。此外，對數位健康的投資增加以及預測醫療分析在臨床研究和藥物開發中的新用途支持了大流行期間的市場成長。
  • 預計金融領域在預測期內將是最大的
  • 預計金融領域在預測期內將佔據最大的市場佔有率。醫療保健行業欺詐發生率的上升以及醫療保健機構對財務分析解決方案的需求不斷成長預計將在預測期內推動對財務分析領域的需求。例如，根據 Etropics, Inc. 的數據，2021 年美國醫療保健詐騙犯罪的損失中位數超過 100 萬美元。隨著世界各地醫療保健欺詐案件的增加，對財務分析解決方案的需求不斷增加。
  • 預計付款人細分市場在預測期內的年複合成長率最高。
  • 預計供應商細分市場在預測期內將以最高年複合成長率成長。醫院數量的增加以及醫療機構中醫療分析軟體的實施可能會推動該領域的成長。例如，歐洲醫院登記冊估計，到 2020 年，歐洲將有超過 19,000 家醫院。因此，新醫院的開業和醫療保健分析軟體的使用增加進一步推動了這一領域的成長。

佔比最大的地區：

由於該地區存在大型競爭，預計北美將在 2022 年在全球醫療保健預測分析市場中佔據最大佔有率，並在預測期內保持主導地位。醫療保健組織也越來越意識到健康的社會要素因素對患者福祉比醫學問題具有更大的積極影響。此外，醫療保健系統的進步、訓練有素的預測分析人員的可用性以及培訓員工使用這些分析工具的資金籌措便利性正在推動市場成長。

複合年複合成長率最高的地區：

預計亞太地區在預測期內復合年複合成長率最高。由於中國和印度等國家電子醫療計劃的不斷發展，以及醫療機構對醫療保健分析管理大量患者資料的需求不斷成長，該地區正在不斷擴張。我是。在不久的將來，隨著 EHR 相關產品的不斷推出，預計亞太地區醫療保健預測分析解決方案的採用將會加速。

免費客製化服務：

訂閱此報告的客戶將收到以下免費客製化選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（注：基於可行性檢查）
  • 競爭標杆管理
    • 根據產品系列、地域分佈和戰略聯盟對主要企業進行基準測試

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 資料挖掘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球醫療保健預測分析市場：按組成部分

  • 硬體
  • 服務
  • 軟體

第6章 全球醫療保健預測分析市場：按提供模式分類

  • 獨立
  • 整合的

第7章 全球醫療保健預測分析市場：按用途

  • 金融
    • 欺詐偵測
    • 收入周期管理
    • 其他財務用途
  • 人口健康
    • 患者參與
    • 集體風險管理
    • 團體治療管理
    • 其他用途
  • 臨床
    • 品質基準
    • 改善患者照護
    • 臨床結果分析和管理
  • 經營管理
    • 需求預測
    • 住院安排
    • 勞動力規劃和調度
    • 門診排班

第8章 全球醫療保健預測分析市場：按最終用戶分類

  • 付款人
    • 私人保險公司
    • 政府機關
    • 雇主和私人交易所
  • 提供者
    • 門診
    • 醫院、醫生診所、IDN
    • 急性後組織
    • 其他最終用戶

第9章 全球醫療保健預測分析市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第10章 進展

  • 契約、夥伴關係、聯盟和合資企業
  • 收購和合併
  • 新產品上市
  • 業務擴展
  • 其他關鍵策略

第11章公司簡介

  • 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.