ヘルスケアデータ分析市場：タイプ、用途、コンポーネント、展開、エンドユーザー、地域別、2026～2032年

ヘルスケアデータ分析市場の評価-2026～2032年

EHRの普及により膨大な量のデジタルヘルスデータが作成され、先進的分析の必要性が高まっています。そのため、電子カルテの導入が増加し、市場規模は2024年に328億7,000万米ドルを突破し、2032年には1,735億7,000万米ドルの評価額に達する見込みです。

フィーフォーサービスからバリューベースのケアモデルへのシフトは、転帰の改善とコスト削減のためにデータ主導の意思決定を必要とします。したがって、金額ベースのケアへの注目が高まることで、市場は2026～2032年にかけて23.12%のCAGRで成長することが可能になります。

ヘルスケアデータ分析市場定義/概要

ヘルスケアデータ分析には、大量の医療データを調査・解釈し、実用的な洞察を導き出すプロセスが含まれます。先進的統計モデルや機械学習アルゴリズムを活用することで、ヘルスケアデータ分析は、電子カルテ（EHR）、保険請求、患者調査などのソースからのデータを受動的に分析します。これら洞察は、ヘルスケアプロバイダが患者ケアを改善し、業務を合理化し、潜在的な健康リスクを予測するのに役立ちます。

この分析プロセスは、ヘルスケア提供におけるパターンと動向を特定し、より多くの情報に基づいた意思決定と個別化された治療計画を可能にします。病状の早期発見、予防医療の強化、リソース配分の最適化をサポートし、運営コストの削減を実現します。非効率な点や改善すべき点を特定することで、ヘルスケア機関はサービスの質と患者の転帰を改善することができます。

慢性疾患の増加と人工知能（AI）と機械学習（ML）の進歩がヘルスケアデータ分析市場の成長をどのように押し上げるか？

慢性疾患の増加は、予測分析と集団健康管理の必要性を促進しています。米国疾病予防管理センター（CDC）によると、2022年時点で米国の成人の10人に6人が慢性疾患に罹患しており、10人に4人が2つ以上の慢性疾患に罹患しています。AIとML技術はヘルスケアデータ分析の能力を強化し、より先進的洞察を可能にしています。米国病院協会（AHA）による2021年の調査では、病院の67％が今後1年以内に臨床上の意思決定をサポートするためにAIを使用、または使用する予定であることがわかりました。

高騰するヘルスケア費用を抑制する必要性から、コストの最適化とリソース配分のためのデータ分析の導入が進んでいます。メディケア＆メディケイドサービスセンター（CMS）によると、米国の国民医療費は9.7％増加し、2020年には4兆1,000億米ドルに達し、GDPの19.7％を占めます。ヘルスケア技術への資金と投資の増加が、データ分析市場の成長に拍車をかけています。ONC（Office of the National Coordinator for Health Information Technology）によると、2021年時点で、連邦政府以外の急性期病院の96％が認定EHR技術を導入しています。メディケア＆メディケイドサービスセンター（CMS）は、2022年にはメディケア・アドバンテージのバリュー・ベースケアモデルに1,100万人の受益者が登録され、2021年から9.4％増加したと報告しています。

データのセキュリティとプライバシーに関する懸念は、ヘルスケアデータ分析市場の成長をどのように阻害するか？

米国のHIPAAのような患者データのプライバシーに関する厳しい規制は、組織が自由にデータを共有し分析することを困難にしています。強固なセキュリティ対策と分析のためのデータアクセスの円滑化のバランスを取ることは、依然として複雑な問題です。米国保健福祉省公民権局によると、2020年に500件以上のレコードに影響を与えた医療データ漏洩は642件で、2,900万件以上の個人レコードに影響を与えました。ヘルスケアセグメントの知識を持つ有能なデータサイエンティストやアナリストが不足しており、産業がデータ分析を十分に活用する能力を制限しています。米国医療情報管理協会（AHIMA）による2021年の調査では、医療機関の59％が適格な医療情報専門家の採用が困難であると回答しています。

異なるヘルスケアITシステムがシームレスにデータを交換できないことが、ヘルスケアエコシステム全体での包括的なデータ分析を妨げています。ONC（Office of the National Coordinator for Health Information Technology）は2022年に、外部ソースからの患者データを手入力なしでEHRシステムに統合できる病院は55%に過ぎないと報告しています。先進的分析ツールとインフラに必要な多額の先行投資は、特に小規模なヘルスケア組織にとって障壁となり得る。ヘルスケア財務管理協会（HFMA）の2020年のレポートによると、包括的なヘルスケア分析システムの導入にかかる平均コストは、中規模病院では200万米ドルから1,000万米ドルでした。

目次

第1章 世界のヘルスケアデータ分析市場の導入

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 ヘルスケアデータ分析の世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 ヘルスケアデータ分析の世界市場：タイプ別

• 概要
• 記述的分析
• 予測的分析
• 記述的分析

第6章 ヘルスケアデータ分析の世界市場：コンポーネント別

• 概要
• ソフトウェア
• ハードウェア
• サービス

第7章 ヘルスケアデータ分析の世界市場：展開別

• 概要
• オンプレミス
• ウェブホスティング
• クラウドベース

第8章 ヘルスケアデータ分析の世界市場：エンドユーザー別

• 概要
• ヘルスケア事業者
• ヘルスケアプロバイダ
• ライフサイエンス企業

第9章 ヘルスケアデータ分析の世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他の欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他のアジア太平洋
• その他
  • ラテンアメリカ
  • 中東・アフリカ

第10章 世界のヘルスケアデータ分析市場の競合情勢

• 概要
• 各社の市場ランキング
• 主要開発戦略

第11章 企業プロファイル

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

第12章 主要開発

• 製品の上市/開発
• 合併と買収
• 事業拡大
• パートナーシップと提携

第13章 付録

• 関連調査

Healthcare Data Analytics Market Valuation - 2026-2032

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.

Healthcare Data Analytics Market, By Category

• Type:
• Descriptive
• Predictive
• Prescriptive
• Application:
• Clinical Analytics
• Financial Analytics
• Operational Analytics
• Component:
• Software
• Services
• Hardware
• Deployment:
• On-premises
• Cloud-based
• End-User:
• Hospitals & Clinics
• Healthcare Payers
• Pharmaceutical & Biotechnology Companies
• Research Institutions & Academia
• Government Agencies
• Healthcare IT Vendors
• Region:
• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

TABLE OF CONTENTS

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

12 KEY DEVELOPMENTS

• 12.1 Product Launches/Developments
• 12.2 Mergers and Acquisitions
• 12.3 Business Expansions
• 12.4 Partnerships and Collaborations

13 Appendix

• 13.1 Related Research