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市場調查報告書
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1914638

醫療保健分析市場 - 全球產業規模、佔有率、趨勢、機會和預測：按組件、部署模式、類型、應用、最終用戶、地區和競爭格局分類，2021-2031 年

Healthcare Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Hardware, Software, Service ), By Deployment Mode, By Type, By Application, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球醫療保健分析市場預計將從2025年的493.3億美元顯著成長至2031年的1,949.6億美元，複合年成長率（CAGR）將達到25.74%。該市場依賴系統性地運用計算分析、統計建模和數據聚合技術，以提取可操作的洞察，從而推動營運、財務和臨床方面的改進。推動這一成長的關鍵因素包括降低不斷上漲的醫療保健成本的迫切需求，以及整個行業向基於價值的醫療模式的轉變，後者需要對患者療效進行精確衡量。此外，醫療記錄的廣泛數位化正在建立必要的底層基礎設施，從而部署強大的分析工具，以改善醫療服務提供者的決策並最佳化資源分配。

市場概覽
預測期 2027-2031
市場規模：2025年 493.3億美元
市場規模：2031年 1949.6億美元
複合年成長率：2026-2031年 25.74%
成長最快的細分市場 雲
最大的市場 北美洲

儘管取得了這些進展，但與資料互通性和嚴格的隱私法規相關的重大障礙仍然阻礙著不同系統之間敏感資訊的順暢交換。然而，隨著醫療機構尋求利用技術簡化臨床和行政運營，先進數據工具的採用率正在加速成長。美國醫學會 (AMA) 2024 年的一項調查發現，66% 的醫生表示目前在實踐中使用人工智慧工具，較前一年的 38% 顯著成長。這項數據凸顯了醫療保健領域對先進分析能力的快速應用。

市場促進因素

人工智慧 (AI) 與巨量資料融合是全球醫療分析市場的關鍵驅動力，從根本上改變了醫療機構提升營運效率和提供臨床決策支援的方式。借助複雜的資料集，醫療機構現在可以利用預測模型更準確地預測患者預後並分配資源。在應對日益成長的數據量需求的推動下，這項技術正迅速從理論試點階段邁向實際應用階段。根據醫療集團管理協會 (MGMA) 於 2024 年 10 月進行的一項調查，43% 的醫療集團表示今年將採用或擴大人工智慧的應用，這標誌著醫療行業正朝著利用自動化智慧處理複雜醫療資訊的方向邁出堅實的一步。

同時，基於雲端的分析解決方案的蓬勃發展為這些先進功能奠定了基礎。傳統的本地部署系統正迅速被敏捷的雲端平台所取代，這些平台能夠實現無縫的互通性和資料交換，這對人口健康管理至關重要。經營團隊正優先考慮這種現代化轉型，以建立能夠滿足未來分析需求的強巨量資料系統。根據Hackoda於2024年3月發布的《2024年醫療保健數據現狀報告》，74%的醫療機構計劃在未來兩年內將資料集中遷移到雲端平台，這顯示醫療產業正在發生顯著的結構性轉變。持續的資本投資進一步推動了這一發展勢頭。根據Rock Health的數據顯示，光是2024年上半年，美國數位醫療Start-Ups就透過266筆交易籌集了57億美元，凸顯了該市場的雄厚財力。

市場挑戰

全球醫療保健分析市場擴張面臨的主要障礙之一是資料互通性持續不足以及嚴格的隱私法規。該行業產生大量的健康訊息，但專有標準和不相容的軟體系統往往將這些數據孤立地儲存在各自獨立的系統中。為了使分析能夠提供準確的預測模型和可操作的洞察，演算法必須能夠存取全面、縱向的患者記錄。當數據無法在不同的財務和臨床系統之間無縫流動時，最終得到的資料集往往不完整或不一致，從而削弱分析結果的可靠性，並降低醫療服務提供者對數據驅動策略的信心。

此外，應對複雜的合規環境和彌合技術差距所需的營運資源給機構預算帶來了巨大壓力。醫療機構往往被迫將資金用於監管合規和人工數據核對，而不是投資先進的分析能力。這種行政負擔十分沉重；2024 年醫療集團管理協會 (MGMA) 的一項調查發現，89% 的醫療機構領導者表示，過去 12 個月中，其機構的監管負擔總體有所增加。非臨床工作的增加直接限制了可用於實施強大分析解決方案的財務資源，從而有效地減緩了市場成長。

市場趨勢

生命科學領域真實世界數據（RWE）分析的蓬勃發展正在改變監管路徑和藥物研發。製藥公司擴大利用分析患者登記數據和電子健康記錄的方法來補充臨床試驗。這一趨勢使得藥物療效的快速檢驗成為可能，並透過分析非受控環境下不同人群的數據，加速上市後監測。這種數據整合的規模龐大，對支持監管決策至關重要。根據歐洲藥品管理局（EMA）於2024年3月發布的《數據分析與真實世界研究網路（DARWIN EU）報告》，該網路已擴展其訪問歐洲約1.3億患者數據的能力，使相關人員能夠在即時環境中產生關於藥物療效的可靠證據。

此外，遠端監測資料流與穿戴式物聯網的整合正在推動對能夠處理高頻患者產生健康數據的分析技術的需求。醫療服務提供者正從間歇性護理轉向持續監測，這就需要能夠解讀生理數據並檢測早期預警訊號的演算法。這種整合使臨床醫生能夠主動干預，從而減少患者再次入院，並改善患者的長期預後。隨著預測醫學價值的日益凸顯，這類監測能力的投資正在加速成長。根據皇家飛利浦於2024年6月發布的《2024年未來健康指數》報告，40%的醫療保健領導者計劃在未來三年內將遠端患者監護擴展到遠距中風護理，這凸顯了預測分析在患者照護現代化中的重要性。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球醫療保健分析市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（硬體、軟體、服務（軟體服務、商業分析服務））
    • 依部署類型（本機部署、雲端部署）
    • 按類型（預測分析、指示性分析、說明分析）
    • 按應用領域（財務分析、營運與管理分析、臨床分析、人口健康分析）
    • 依最終用戶（醫療支付者、醫療服務提供者、生命科學公司）分類
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美醫療保健分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲醫療保健分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區醫療保健分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲醫療保健分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲醫療保健分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球醫療保健分析市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Digital Reasoning Systems Inc.
  • International Business Machines Corporation（IBM）
  • Information Builders Inc.
  • Allscripts Healthcare Solutions, Inc.
  • IQVIA Holdings Inc.
  • 3M Company
  • McKesson Corporation
  • MedeAnalytics Inc.
  • Optum Inc.
  • Cerner Corporation

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 4632

The Global Healthcare Analytics Market is projected to experience substantial growth, rising from USD 49.33 Billion in 2025 to USD 194.96 Billion by 2031, representing a CAGR of 25.74%. This market involves the systematic use of computational analysis, statistical modeling, and data aggregation to extract actionable insights that drive improvements in operational, financial, and clinical areas. Key factors fueling this expansion include the urgent need to reduce rising healthcare costs and the industry-wide shift toward value-based care models, which require accurate measurement of patient outcomes. Additionally, the extensive digitization of medical records creates the foundational infrastructure needed to implement robust analytical tools that refine provider decision-making and optimize resource allocation.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 49.33 Billion
Market Size 2031USD 194.96 Billion
CAGR 2026-203125.74%
Fastest Growing SegmentCloud
Largest MarketNorth America

Despite this progress, significant hurdles regarding data interoperability and strict privacy regulations continue to obstruct the smooth exchange of sensitive information across different systems. However, adoption rates for advanced data tools are accelerating among providers aiming to utilize technology for greater clinical and administrative efficiency. According to the American Medical Association in 2024, 66% of physicians reported currently using artificial intelligence tools in their practice, a notable increase from 38% the previous year. This statistic highlights the rapid incorporation of sophisticated analytical capabilities within the healthcare sector.

Market Driver

The convergence of Artificial Intelligence (AI) and Big Data acts as a major catalyst for the Global Healthcare Analytics Market, fundamentally transforming how providers handle operational efficiency and clinical decision support. By utilizing complex datasets, healthcare institutions can now employ predictive modeling to forecast patient outcomes and allocate resources with high precision. This technological evolution is swiftly moving from theoretical pilots to practical application, driven by the necessity to manage growing volumes of data. According to the Medical Group Management Association (MGMA) in an October 2024 poll, 43% of medical groups reported adding or expanding their use of AI this year, demonstrating a tangible industry shift toward automated intelligence for handling complex medical information.

At the same time, the growth of cloud-based analytics solutions is providing the essential infrastructure needed to support these advanced capabilities. Legacy on-premise systems are increasingly being replaced by agile cloud platforms that facilitate seamless interoperability and data exchange, which are vital for population health management. Leadership teams are prioritizing this modernization to ensure their data systems are robust enough for future analytics needs. According to Hakkoda's 'Healthcare State of Data 2024' report from March 2024, 74% of healthcare organizations intend to centralize on a cloud platform within the next two years, indicating a significant structural migration. This momentum is further supported by sustained capital investment; according to Rock Health, U.S. digital health startups raised $5.7 billion across 266 deals in the first half of 2024 alone, highlighting the market's financial strength.

Market Challenge

A primary obstacle to the expansion of the Global Healthcare Analytics Market is the persistent lack of data interoperability combined with rigorous privacy regulations. Although the sector produces vast amounts of health information, this data often remains isolated in fragmented silos due to proprietary standards and incompatible software systems. For analytics to provide accurate predictive modeling and actionable insights, algorithms must have access to comprehensive, longitudinal patient records. When data cannot flow seamlessly between disparate financial and clinical systems, the resulting datasets are frequent incomplete or inconsistent, which undermines the reliability of analytical outputs and reduces provider confidence in data-driven strategies.

Moreover, the operational resources needed to navigate these complex compliance landscapes and bridge technical gaps significantly deplete organizational budgets. Instead of investing in advanced analytical capabilities, healthcare entities are often forced to divert capital toward regulatory adherence and manual data reconciliation. This administrative burden is substantial; according to the Medical Group Management Association in 2024, 89% of medical practice leaders reported that the overall regulatory burden on their practice had increased over the past 12 months. This rise in non-clinical workload directly limits the financial resources available for adopting robust analytics solutions, effectively slowing market growth.

Market Trends

The growth of Real-World Evidence (RWE) analytics in life sciences is reshaping regulatory pathways and drug development. Pharmaceutical companies are increasingly using analytics to process data from patient registries and electronic health records to supplement clinical trials. This trend enables faster validation of drug efficacy and accelerates post-market surveillance by analyzing diverse populations outside of controlled environments. The scale of this data integration is massive and crucial for supporting regulatory decisions. According to the European Medicines Agency's 'Data Analysis and Real-World Interrogation Network (DARWIN EU)' report from March 2024, the network expanded its capacity to deliver real-world evidence by accessing data from approximately 130 million patients across Europe, enabling stakeholders to generate robust evidence on medicine effectiveness in real-time settings.

Furthermore, the convergence of remote monitoring data streams and wearable IoT is driving demand for analytics capable of processing high-frequency patient-generated health data. Healthcare providers are shifting from episodic care to continuous monitoring, necessitating algorithms that can interpret physiological data to detect early warning signs. This integration empowers clinicians to intervene proactively, thereby reducing hospital readmissions and improving long-term patient outcomes. Investment in these monitoring capabilities is accelerating as organizations recognize the value of predictive care. According to the Royal Philips 'Future Health Index 2024' report from June 2024, 40% of healthcare leaders indicated plans to expand remote patient monitoring into telestroke care within the next three years, highlighting the critical role of predictive analytics in modernizing patient care delivery.

Key Market Players

  • Digital Reasoning Systems Inc.
  • International Business Machines Corporation (IBM)
  • Information Builders Inc.
  • Allscripts Healthcare Solutions, Inc.
  • IQVIA Holdings Inc.
  • 3M Company
  • McKesson Corporation
  • MedeAnalytics Inc.
  • Optum Inc.
  • Cerner Corporation

Report Scope

In this report, the Global Healthcare Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Healthcare Analytics Market, By Component

  • Hardware
  • Software
  • Service (Software Service & Business Analytics Service)

Healthcare Analytics Market, By Deployment Mode

  • On-Premises
  • Cloud

Healthcare Analytics Market, By Type

  • Predictive Analytics
  • Prescriptive Analytics
  • Descriptive Analytics

Healthcare Analytics Market, By Application

  • Financial Analysis
  • Operational & Administrative Analysis
  • Clinical Analysis
  • Population Health Analysis

Healthcare Analytics Market, By End User

  • Healthcare Payers
  • Healthcare Providers
  • Life Science Companies

Healthcare Analytics Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Healthcare Analytics Market.

Available Customizations:

Global Healthcare Analytics Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Healthcare Analytics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Hardware, Software, Service (Software Service, & Business Analytics Service))
    • 5.2.2. By Deployment Mode (On-Premises, Cloud)
    • 5.2.3. By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics)
    • 5.2.4. By Application (Financial Analysis, Operational & Administrative Analysis, Clinical Analysis, Population Health Analysis)
    • 5.2.5. By End User (Healthcare Payers, Healthcare Providers, Life Science Companies)
    • 5.2.6. By Region
    • 5.2.7. By Company (2025)
  • 5.3. Market Map

6. North America Healthcare Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Type
    • 6.2.4. By Application
    • 6.2.5. By End User
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Healthcare Analytics Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Deployment Mode
        • 6.3.1.2.3. By Type
        • 6.3.1.2.4. By Application
        • 6.3.1.2.5. By End User
    • 6.3.2. Canada Healthcare Analytics Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Deployment Mode
        • 6.3.2.2.3. By Type
        • 6.3.2.2.4. By Application
        • 6.3.2.2.5. By End User
    • 6.3.3. Mexico Healthcare Analytics Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Deployment Mode
        • 6.3.3.2.3. By Type
        • 6.3.3.2.4. By Application
        • 6.3.3.2.5. By End User

7. Europe Healthcare Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Type
    • 7.2.4. By Application
    • 7.2.5. By End User
    • 7.2.6. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Healthcare Analytics Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By Type
        • 7.3.1.2.4. By Application
        • 7.3.1.2.5. By End User
    • 7.3.2. France Healthcare Analytics Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By Type
        • 7.3.2.2.4. By Application
        • 7.3.2.2.5. By End User
    • 7.3.3. United Kingdom Healthcare Analytics Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By Type
        • 7.3.3.2.4. By Application
        • 7.3.3.2.5. By End User
    • 7.3.4. Italy Healthcare Analytics Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Deployment Mode
        • 7.3.4.2.3. By Type
        • 7.3.4.2.4. By Application
        • 7.3.4.2.5. By End User
    • 7.3.5. Spain Healthcare Analytics Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Deployment Mode
        • 7.3.5.2.3. By Type
        • 7.3.5.2.4. By Application
        • 7.3.5.2.5. By End User

8. Asia Pacific Healthcare Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Type
    • 8.2.4. By Application
    • 8.2.5. By End User
    • 8.2.6. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Healthcare Analytics Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By Type
        • 8.3.1.2.4. By Application
        • 8.3.1.2.5. By End User
    • 8.3.2. India Healthcare Analytics Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By Type
        • 8.3.2.2.4. By Application
        • 8.3.2.2.5. By End User
    • 8.3.3. Japan Healthcare Analytics Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By Type
        • 8.3.3.2.4. By Application
        • 8.3.3.2.5. By End User
    • 8.3.4. South Korea Healthcare Analytics Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By Type
        • 8.3.4.2.4. By Application
        • 8.3.4.2.5. By End User
    • 8.3.5. Australia Healthcare Analytics Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By Type
        • 8.3.5.2.4. By Application
        • 8.3.5.2.5. By End User

9. Middle East & Africa Healthcare Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Type
    • 9.2.4. By Application
    • 9.2.5. By End User
    • 9.2.6. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Healthcare Analytics Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By Type
        • 9.3.1.2.4. By Application
        • 9.3.1.2.5. By End User
    • 9.3.2. UAE Healthcare Analytics Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By Type
        • 9.3.2.2.4. By Application
        • 9.3.2.2.5. By End User
    • 9.3.3. South Africa Healthcare Analytics Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By Type
        • 9.3.3.2.4. By Application
        • 9.3.3.2.5. By End User

10. South America Healthcare Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Type
    • 10.2.4. By Application
    • 10.2.5. By End User
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Healthcare Analytics Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By Type
        • 10.3.1.2.4. By Application
        • 10.3.1.2.5. By End User
    • 10.3.2. Colombia Healthcare Analytics Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By Type
        • 10.3.2.2.4. By Application
        • 10.3.2.2.5. By End User
    • 10.3.3. Argentina Healthcare Analytics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By Type
        • 10.3.3.2.4. By Application
        • 10.3.3.2.5. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Healthcare Analytics Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Digital Reasoning Systems Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. International Business Machines Corporation (IBM)
  • 15.3. Information Builders Inc.
  • 15.4. Allscripts Healthcare Solutions, Inc.
  • 15.5. IQVIA Holdings Inc.
  • 15.6. 3M Company
  • 15.7. McKesson Corporation
  • 15.8. MedeAnalytics Inc.
  • 15.9. Optum Inc.
  • 15.10. Cerner Corporation

16. Strategic Recommendations

17. About Us & Disclaimer