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市場調查報告書

商品編碼

1738541

2026 年至 2032 年醫療數據分析市場（按類型、應用、組件、部署、最終用戶和地區分類）

Healthcare Data Analytics Market By Type, Application, Component, Deployment, End-Users, Region for 2026-2032

出版日期: 2025年05月12日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

醫療數據分析市場評估-2026-2032

EHR 的廣泛採用導致了大量數位健康數據的產生，需要高級電子健康記錄，預計這將推動市場在 2024 年超過 328.7 億美元，到 2032 年達到 1735.7 億美元的估值。

從按服務收費模式轉向基於價值的醫療模式的轉變，需要以數據主導的決策，以改善療效並降低成本。因此，增加對以金額為準的醫療的關注度，將推動市場在2026年至2032年期間實現23.12%的複合年成長率。

醫療數據分析市場定義/概述

醫療數據分析涉及檢查和解讀大量醫療數據，以得出切實可行的見解。醫療數據分析利用先進的統計模型和機器學習演算法，被動分析來自電子健康記錄(EHR)、保險理賠和病患調查等來源的資料。這些洞察有助於醫療服務提供者改善患者照護、簡化業務並預測潛在的健康風險。

這個分析流程能夠識別醫療服務中的模式和趨勢，從而幫助做出更明智的決策並制定個人化治療方案。它有助於更早發現疾病，加強預防保健，最佳化資源配置，最終降低營運成本。透過識別效率低下和有待改進的領域，醫療機構可以提升服務品質和病患治療效果。

慢性病的增加以及人工智慧 (AI) 和機器學習 (ML) 的進步將如何推動醫療數據分析市場的成長？

慢性病的增加推動了對預測分析和人口健康管理的需求。根據美國疾病管制與預防中心 (CDC) 的數據，截至 2022 年，美國美國中將有 6 人患有慢性病，每 10 人中將有 4 人患有兩種或兩種以上的慢性病。人工智慧 (AI) 和機器學習 (ML) 技術正在增強醫療數據分析的能力，從而帶來更深入的見解。美國醫院協會 (AHA) 2021 年的一項調查發現，67% 的醫院正在使用或計劃在未來一年內使用人工智慧來支援臨床決策。

抑制醫療成本上漲的需求推動了數據分析在成本最佳化和資源配置的應用。根據美國醫療保險和醫療補助服務中心 (CMS) 的數據，美國全國醫療保健支出增加了 9.7%，2020 年達到 4.1 兆美元，佔 GDP 的 19.7%。醫療技術領域的資金和投資不斷增加，推動了數據分析市場的成長。根據美國國家衛生資訊科技協調辦公室 (ONC) 的數據，截至 2021 年，96% 的非聯邦急診醫院已實施經過認證的 EHR 技術。美國醫療保險和醫療補助服務中心 (CMS) 報告稱，2022 年將有 1,100 萬名受益人加入 Medicare Advantage 價值型醫療模式，比 2021 年成長 9.4%。

資料安全和隱私問題將如何阻礙醫療資料分析市場的成長？

美國《健康保險流通與責任法》等對病患資料隱私的嚴格規定，使組織難以自由地共用和分析資料。在強力的安全措施與方便資料存取以進行分析之間取得平衡仍然是一個複雜的問題。根據美國衛生與公眾服務部民權辦公室的數據，2020 年發生了 642 起醫療保健資料外洩事件，影響了 500 多筆記錄，共超過 2,900 萬筆個人記錄。缺乏具備醫療保健領域知識的合格數據科學家和分析師，限制了該行業充分利用數據分析的能力。在美國醫療保健資訊管理協會 (AHIMA) 2021 年的一項調查中，59% 的醫療保健組織表示他們難以招募到合格的醫療保健資訊專業人員。

不同的醫療IT系統無法無縫交換數據，阻礙了整個醫療生態系統的全面數據分析。 2022年，美國國家健康資訊科技協調員辦公室 (ONC) 報告稱，只有55%的醫院能夠將外部來源的病患資料整合到其電子健康記錄 (EHR) 系統中，而無需人工輸入。進階分析工具和基礎設施所需的大量前期投資可能是一個障礙，尤其對於規模較小的醫療機構。根據美國醫療保健財務管理協會 (HFMA) 2020年的報告，中型醫院實施一套全面的醫療分析系統的平均成本在200萬美元到1000萬美元之間。

The widespread implementation of EHRs has created vast amounts of digital health data, driving the need for advanced analytics. Thus, the rising adoption of electronic health records surged the growth of market size surpassing USD 32.87 Billion in 2024 to reach a valuation of USD 173.57 Billion by 2032.

The shift from fee-for-service to value-based care models necessitates data-driven decision-making to improve outcomes and reduce costs. Thus, the increasing focus on value-based care enables the market to grow at a CAGR of 23.12% from 2026 to 2032.

Healthcare Data Analytics Market: Definition/ Overview

Healthcare data analytics involves the process of examining and interpreting large volumes of medical data to derive actionable insights. By utilizing advanced statistical models and machine learning algorithms, healthcare data analytics passively analyzes data from sources such as electronic health records (EHRs), insurance claims, and patient surveys. These insights help healthcare providers improve patient care, streamline operations, and forecast potential health risks.

This analytical process identifies patterns and trends in healthcare delivery, allowing for more informed decision-making and personalized treatment plans. It supports the early detection of medical conditions, enhances preventive care, and helps optimize resource allocation, which can reduce operational costs. By identifying inefficiencies and areas for improvement, healthcare institutions can improve service quality and patient outcomes.

How the Growing Prevalence of Chronic Diseases and Advancements in Artificial Intelligence (AI) and Machine Learning (ML) Surge the Growth of the Healthcare Data Analytics Market?

The rise in chronic conditions is driving the need for predictive analytics and population health management. In The Centers for Disease Control and Prevention (CDC) stated that as of 2022, 6 in 10 adults in the US had a chronic disease, and 4 in 10 had two or more. AI and ML technologies are enhancing the capabilities of healthcare data analytics, enabling more sophisticated insights. A 2021 survey by the American Hospital Association (AHA) found that 67% of hospitals were using or planning to use AI to support clinical decision-making within the next year.

The need to control rising healthcare expenses is driving the adoption of data analytics for cost optimization and resource allocation. According to the Centers for Medicare & Medicaid Services (CMS), national health spending in the US grew 9.7% to reach USD 4.1 Trillion in 2020, accounting for 19.7% of GDP. Increased funding and investment in healthcare technology are fueling the growth of the data analytics market. According to the Office of the National Coordinator for Health Information Technology (ONC), as of 2021, 96% of all non-federal acute care hospitals had adopted certified EHR technology. The Centers for Medicare & Medicaid Services (CMS) reported that in 2022, 11 million beneficiaries were enrolled in Medicare Advantage value-based care models, representing a 9.4% increase from 2021.

How the Data Security and Privacy Concerns Impede the Growth of the Healthcare Data Analytics Market?

Stringent regulations regarding patient data privacy, like HIPAA in the US, make it difficult for organizations to share and analyze data freely. Balancing robust security measures with facilitating data access for analytics remains a complex issue. According to the U.S. Department of Health and Human Services Office for Civil Rights, there were 642 healthcare data breaches affecting 500 or more records in 2020, impacting over 29 million individual records. There is a shortage of qualified data scientists and analysts with healthcare domain knowledge, limiting the industry's ability to fully leverage data analytics. A 2021 survey by the American Health Information Management Association (AHIMA) found that 59% of healthcare organizations reported difficulty in recruiting qualified health information professionals.

The inability of different healthcare IT systems to seamlessly exchange data hinders comprehensive data analysis across the healthcare ecosystem. The Office of the National Coordinator for Health Information Technology (ONC) reported in 2022 that only 55% of hospitals could integrate patient data from external sources into their EHR systems without manual entry. The significant upfront investment required for advanced analytics tools and infrastructure can be a barrier, especially for smaller healthcare organizations. A 2020 report by the Healthcare Financial Management Association (HFMA) indicated that the average cost of implementing a comprehensive healthcare analytics system ranged from USD 2 Million to USD 10 Million for mid-sized hospitals.

Category-Wise Acumens

How the Increasing Demand for Historical Data Analysis Surge the Growth of Descriptive Analytics Segment?

The descriptive analytics segment is dominant in the healthcare data analytics market, especially as its capabilities have been widely recognized during the pandemic. By leveraging historical data and patient records, descriptive analytics has been pivotal in understanding the spread of the virus, contributing significantly to its increased adoption. This surge in demand for historical data analysis has helped healthcare providers track virus trends and patient outcomes and support informed decision-making.

Descriptive analytics serves as a valuable tool in interpreting "what has happened" by transforming raw data into actionable insights. Hospitals and healthcare institutions, for instance, use descriptive analytics to enhance operational efficiency by monitoring insurance claims. By detecting anomalies and errors in claim submissions, healthcare organizations can ensure smoother administrative processes, reducing costs and improving financial performance.

Beyond healthcare providers, many organizations across the healthcare sector have also recognized the market potential of descriptive analytics. It enables them to refine their operations, detect inefficiencies, and improve patient outcomes. This wide adoption of descriptive analytics tools not only accelerates innovation within healthcare but also positions this segment as a critical driver of market growth. Its effectiveness during a global health crisis underscores its importance in modern healthcare data analytics.

How the Increasing Investment in the Healthcare Industry Accelerates the Growth of Service Segment?

The services segment has emerged as dominant in the healthcare data analytics market, driven by significant investments from the healthcare industry in IT infrastructure and data digitization. As the healthcare sector shifts towards more data-driven decision-making, the demand for sophisticated analytics platforms has increased. Many healthcare organizations, however, lack the internal resources or expertise to develop and manage comprehensive analytics solutions. In addition, they are increasingly outsourcing their data analytics needs to specialized service providers, fueling the rapid growth of the services segment.

Data analytics companies have responded to this demand by offering a complete range of services, from data integration and management to advanced analytics and reporting. These companies provide tailored solutions that help healthcare organizations harness the power of their data without the need for extensive in-house infrastructure. This outsourcing trend has allowed healthcare institutions to focus on their core competencies while benefiting from cutting-edge analytics capabilities.

Country/Region-wise Acumens

How does the Advanced Healthcare IT Infrastructure Escalate the Growth of the Healthcare Data Analytics Market in North America?

North America substantially dominates the healthcare data analytics market owing to the region's state-of-the-art healthcare facilities, and the adoption of these platforms and better technological availability have all resulted in a large market share for North America. According to the Office of the National Coordinator for Health Information Technology (ONC), as of 2021, 96% of all non-federal acute care hospitals in the United States had adopted certified EHR technology, providing a robust foundation for data analytics.

North America, particularly the United States, leads in healthcare expenditure, with a significant portion dedicated to healthcare IT and analytics. The Centers for Medicare & Medicaid Services (CMS) reported that U.S. national health expenditure grew 9.7% to $4.1 trillion in 2020, accounting for 19.7% of GDP. This high spending includes substantial investments in healthcare technology and analytics.

Government programs and regulations in North America have been driving the adoption of healthcare IT solutions, including data analytics platforms. The U.S. Department of Health and Human Services reported that as of 2022, more than 90% of office-based physicians had adopted an EHR system, largely due to incentives provided through the HITECH Act and subsequent programs.

How does the Rapid Digitalization of Healthcare Systems Surge the Growth of the Healthcare Data Analytics Market in Asia Pacific?

Asia Pacific is anticipated to witness the fastest growth in the healthcare data analytics market

during the forecast period driven by the rapid digitalization of healthcare systems. There has been significant growth and advancements in the industry in this region, which has also contributed to its growth. The increasing adoption of electronic health records (EHRs) and other digital health technologies is driving the demand for data analytics solutions. According to a 2022 report by the Asia eHealth Information Network (AeHIN), EHR adoption rates in Southeast Asian countries increased from an average of 35% in 2019 to 57% by the end of 2021, indicating a rapid digital transformation in the region's healthcare sector.

Rising healthcare spending in Asia Pacific countries is fueling investments in advanced technologies, including data analytics platforms. The World Health Organization (WHO) reported that healthcare expenditure in the Western Pacific Region, which includes much of Asia Pacific, grew at an average annual rate of 6.5% between 2020 and 2022, outpacing global averages.

The rising burden of chronic diseases and an aging population in many Asia Pacific countries is driving the need for data-driven healthcare solutions to manage population health effectively.

A 2021 study published in The Lancet Regional Health - Western Pacific found that the prevalence of chronic diseases in East and Southeast Asia increased by 18% between 2010 and 2020, with projections suggesting a further 22% increase by 2030.

Competitive Landscape

The Healthcare Data Analytics Market is highly competitive, with a mix of established technology giants, specialized healthcare analytics providers, and emerging startups. The key players in this market are constantly innovating to offer advanced solutions that cater to the specific needs of healthcare organizations.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the healthcare data analytics market include:

Allscripts
Cerner
Health Catalyst
IBM, Inovalon
McKesson
MedeAnalytics
Optum
Oracle
SAS
Wipro
Verscend
CitusTech
Cerner Corporation
Koninklijke Philips N.V.

Latest Developments:

In June 2022, Oracle Corporation announced the acquisition of Cerner Corporation, combining Cerner's clinical skills with Oracle's enterprise platform analytics and automation experience.
In January 2022, IBM announced the partnership with Francisco to reach a definitive deal in which Francisco Partners will purchase healthcare data and analytics assets from IBM that are currently part of the Watson Health business.

1 INTRODUCTION OF GLOBAL HEALTHCARE DATA ANALYTICS MARKET

1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL HEALTHCARE DATA ANALYTICS MARKET OUTLOOK

4.1 Overview
4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY TYPE

5.1 Overview
5.2 Descriptive Analysis
5.3 Predictive Analysis
5.4 Prescriptive Analysis

6 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY COMPONENT

6.1 Overview
6.2 Software
6.3 Hardware
6.4 Services

7 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY DEPLOYMENT

7.1 Overview
7.2 On-premises
7.3 Web-hosted
7.4 Cloud-based

8 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY END-USE

8.1 Overview
8.2 Healthcare Payers
8.3 Healthcare Providers
8.4 Life Science Companies

9 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY GEOGRAPHY

9.1 Overview
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
- 9.2.3 Mexico
9.3 Europe
- 9.3.1 Germany
- 9.3.2 U.K.
- 9.3.3 France
- 9.3.4 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 Japan
- 9.4.3 India
- 9.4.4 Rest of Asia Pacific
9.5 Rest of the World
- 9.5.1 Latin America
- 9.5.2 Middle East and Africa

10 GLOBAL HEALTHCARE DATA ANALYTICS MARKET COMPETITIVE LANDSCAPE

10.1 Overview
10.2 Company Market Ranking
10.3 Key Development Strategies

11 COMPANY PROFILES

11.1 Allscripts
- 11.1.1 Overview
- 11.1.2 Financial Performance
- 11.1.3 Product Outlook
- 11.1.4 Key Developments
11.2 Cerner
- 11.2.1 Overview
- 11.2.2 Financial Performance
- 11.2.3 Product Outlook
- 11.2.4 Key Developments
11.3 Health Catalyst
- 11.3.1 Overview
- 11.3.2 Financial Performance
- 11.3.3 Product Outlook
- 11.3.4 Key Developments
11.4 IBM
- 11.4.1 Overview
- 11.4.2 Financial Performance
- 11.4.3 Product Outlook
- 11.4.4 Key Developments
11.5 Inovalon
- 11.5.1 Overview
- 11.5.2 Financial Performance
- 11.5.3 Product Outlook
- 11.5.4 Key Developments
11.6 McKesson
- 11.6.1 Overview
- 11.6.2 Financial Performance
- 11.6.3 Product Outlook
- 11.6.4 Key Developments
11.7 MedeAnalytics
- 11.7.1 Overview
- 11.7.2 Financial Performance
- 11.7.3 Product Outlook
- 11.7.4 Key Developments
11.8 Optum
- 11.8.1 Overview
- 11.8.2 Financial Performance
- 11.8.3 Product Outlook
- 11.8.4 Key Developments
11.9 Oracle
- 11.9.1 Overview
- 11.9.2 Financial Performance
- 11.9.3 Product Outlook
- 11.9.4 Key Developments
11.10 Wipro
- 11.10.1 Overview
- 11.10.2 Financial Performance
- 11.10.3 Product Outlook
- 11.10.4 Key Developments
11.11 Verscend
- 11.11.1 Overview
- 11.11.2 Financial Performance
- 11.11.3 Product Outlook
- 11.11.4 Key Developments
11.11 Verscend
- 11.11.1 Overview
- 11.11.2 Financial Performance
- 11.11.3 Product Outlook
- 11.11.4 Key Developments
11.12 CitusTech
- 11.12.1 Overview
- 11.12.2 Financial Performance
- 11.12.3 Product Outlook
- 11.12.4 Key Developments
11.13 Cerner Corporation
- 11.13.1 Overview
- 11.13.2 Financial Performance
- 11.13.3 Product Outlook
- 11.13.4 Key Developments
11.14 Koninklijke Philips N.V.
- 11.14.1 Overview
- 11.14.2 Financial Performance
- 11.14.3 Product Outlook
- 11.14.4 Key Developments