ヘルスケアアナリティクスの世界市場：地域別、2024年～2031年

ヘルスケアアナリティクスの市場規模と予測

ヘルスケアアナリティクスの市場規模は、2024年に150億8,000万米ドルと評価され、2024年から2031年にかけてCAGR 2.50%で推移し、2031年には180億5,000万米ドルに達すると予測されます。ヘルスケアアナリティクスとは、医療データの分析に焦点を当て、患者の転帰を改善し、業務効率を最適化し、医療機関内の意思決定プロセスをサポートする分野を指します。ヘルスケアアナリティクスには、電子カルテ（EHR）、臨床試験、ウェアラブル、その他のヘルスケア関連ソースからのデータを活用した、記述的アナリティクス、予測的アナリティクス、処方的アナリティクスなど、さまざまなタイプのアナリティクスが含まれます。ヘルスケアアナリティクスは、病院、診療所、保険会社、公開会社、製薬会社など、さまざまな場面で採用されています。

患者管理、臨床意思決定支援、集団健康管理、財務予測、業務効率化などに利用されています。

ヘルスケアアナリティクスの主な目的は、データを活用してケアの質を高め、コストを削減し、業務プロセスを改善することです。

大量のヘルスケアデータを分析することで、組織は動向を把握し、リソース配分を最適化し、エビデンスに基づいた実践を行うことができます。

ヘルスケアアナリティクスは、規制要件の遵守をサポートし、医療分野の研究開発を促進します。

ヘルスケアアナリティクスは、データを実用的な洞察に変換し、より良い医療成果をもたらす上で重要な役割を果たします。

ヘルスケアアナリティクスの世界市場力学

ヘルスケアアナリティクスの世界市場を形成している主な市場力学

主な市場促進要因

データ量の増加：

メディケア・メディケイド・サービスセンター（CMS）によると、米国のヘルスケア支出は2020年に9.7%増加し、4兆1,000億米ドル、1人当たり1万2,530米ドルに達します。これは国内総生産（GDP）の19.7％を占める。

電子カルテ（EHR）、医療画像、ウェアラブルから生成されるヘルスケアデータの急激な増加により、効果的な管理と意思決定のための高度なアナリティクスが必要とされています。

患者アウトカムの改善に対する需要：

ヘルスケアプロバイダーは、アナリティクスを活用して患者のケアの質を高め、再入院率を低減し、全体的な健康アウトカムを改善することにますます重点を置くようになっています。

規制の遵守：

HIPAAやMACRAなど、ヘルスケアの規制や標準に準拠する必要性から、より優れたレポーティングとデータ管理のためのアナリティクス・ソリューションの導入が進んでいます。

コスト削減：

アナリティクスによって、組織は非効率性を特定し、リソース配分の最適化とプロセスの合理化によって運営コストを削減することができます。

バリュー・ベース・ケアへの移行：

フィー・フォー・サービスからバリュー・ベースのケア・モデルへの移行は、ケアの質と効果を測定するデータ分析の重要性を強調しています。

技術の進歩：

人工知能（AI）、機械学習、ビッグデータ解析の革新により、ヘルスケア・アナリティクスの機能と応用が強化されます。

主な課題

データのプライバシーとセキュリティへの懸念：

機密性の高い患者データの保護は非常に重要であり、HIPAAなどの規制を遵守することはヘルスケア組織にとって大きな課題となっています。

バラバラのデータソースの統合：

さまざまなシステムやプラットフォームでデータが断片化しているため、統一されたビューを実現することが難しく、効果的なアナリティクスの妨げとなっています。

標準化の欠如：

標準化されたデータ形式やプロトコルがないため、データ共有や相互運用性が複雑化し、アナリティクスの精度や信頼性に影響を与えます。

高い導入コスト：

高度なアナリティクスソリューションに必要な初期投資は、特に予算が限られている小規模なヘルスケアプロバイダーにとって障壁となる可能性があります。

スキル不足：

ヘルスケア分野では、データ分析や解釈に精通した熟練した専門家が不足しており、アナリティクスの効果的な活用が制限されています。

変化への抵抗：

新しいテクノロジーやワークフローの導入に対するヘルスケア専門家の文化的抵抗が、アナリティクスソリューションの導入を遅らせています。

主な動向

AIと機械学習の採用増加：

ヘルスケア組織では、人工知能（AI）や機械学習アルゴリズムを活用して、予測分析の強化、意思決定の改善、プロセスの自動化を図る動きが加速しています。

バリュー・ベース・ケアへのシフト：

フィー・フォー・サービスからバリュー・ベースのケア・モデルへの移行により、患者の転帰を評価し、コストを効果的に管理できるアナリティクス・ソリューションへの需要が高まっています。

リアルタイム分析の台頭：

ダイナミックな臨床環境において即時の意思決定をサポートし、患者ケアを改善するために、リアルタイムのデータ分析が重視されるようになっています。

ウェアラブルデバイスの統合：

ウェアラブル端末の普及により膨大な量のデータが生成され、これらの情報を解釈し、患者のモニタリングとエンゲージメントを改善するための高度なアナリティクスが必要とされています。

集団健康管理の重視：

組織はアナリティクスを活用して、健康動向の特定、慢性疾患の管理、特定集団の健康アウトカムの改善に取り組んでいます。

相互運用性ソリューションの強化：

さまざまなヘルスケアシステム間でのデータ共有と相互運用性を向上させる取り組みが、より統合されたアナリティクス・プラットフォームの開発を促進しています。

目次

第1章 世界のヘルスケアアナリティクス市場：イントロダクション

• 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
• 検証
• プライマリーインタビュー
• データソース一覧

第4章 ヘルスケアアナリティクスの世界市場展望

• 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
• 規制の枠組み

第5章 ヘルスケアアナリティクスの世界市場、展開モード別

• 概要
• オンプレミスモデル
• オンデマンドモデル

第6章 ヘルスケアアナリティクスの世界市場：タイプ別

• 概要
• 記述分析
• 予測分析
• 処方的アナリティクス
• 認知分析

第7章 ヘルスケアアナリティクスの世界市場、コンポーネント別

• 概要
• サービス
• ソフトウェア
• ハードウェア

第8章 ヘルスケアアナリティクスの世界市場：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
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第9章 世界のヘルスケアアナリティクス市場の競合情勢

• 概要
• 企業市場ランキング
• ベンダー情勢
• 主な発展戦略

第10章 企業プロファイル

• IBM Corporation
• Optum, Inc.
• Cerner Corporation
• SAS Institute, Inc.
• Allscripts Health Solutions
• Flatiron Health
• Epic Systems Corporation
• Health Catalyst
• Inovalon

第11章 主な発展

• 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12章 付録

• 関連調査

Healthcare Analytics Market Size And Forecast

Healthcare Analytics Market size was valued at USD 15.08 Billion in 2024 and is projected to reach USD 18.05 Billion by 2031, g rowing at a CAGR of 2.50% from 2024 to 2031. Healthcare analytics refers to the sector that focuses on the analysis of healthcare data to improve patient outcomes, optimize operational efficiency, and support decision-making processes within healthcare organizations. It encompasses various types of analytics, including descriptive, predictive, and prescriptive analytics, utilizing data from electronic health records (EHRs), clinical trials, wearables, and other healthcare-related sources. Healthcare analytics is employed across multiple settings, including hospitals, clinics, insurance companies, public health organizations, and pharmaceutical firms.

It is used for patient management, clinical decision support, population health management, financial forecasting, and operational efficiency.

The primary purpose of healthcare analytics is to leverage data to enhance the quality of care, reduce costs, and improve operational processes.

By analyzing large volumes of healthcare data, organizations can identify trends, optimize resource allocation, and implement evidence-based practices.

Healthcare analytics supports compliance with regulatory requirements and facilitates research and development in medical fields.

It plays a critical role in transforming data into actionable insights for better health outcomes.

Global Healthcare Analytics Market Dynamics

The key market dynamics that are shaping the global healthcare analytics market include:

Key Market Drivers

Increasing Data Volume:

According to the Centers for Medicare & Medicaid Services (CMS), U.S. healthcare spending grew 9.7% in 2020, reaching $4.1 trillion or $12,530 per person. This accounted for 19.7% of the nation's Gross Domestic Product (GDP).

The exponential growth of healthcare data generated from electronic health records (EHRs), medical imaging, and wearables necessitates advanced analytics for effective management and decision-making.

Demand for Improved Patient Outcomes:

Healthcare providers are increasingly focusing on leveraging analytics to enhance patient care quality, reduce readmission rates, and improve overall health outcomes.

Regulatory Compliance:

The need to comply with healthcare regulations and standards, such as HIPAA and MACRA, drives the adoption of analytics solutions for better reporting and data management.

Cost Reduction:

Analytics enable organizations to identify inefficiencies and reduce operational costs by optimizing resource allocation and streamlining processes.

Shift to Value-Based Care:

The transition from fee-for-service to value-based care models emphasizes the importance of data analytics in measuring the quality and effectiveness of care.

Technological Advancements:

Innovations in artificial intelligence (AI), machine learning, and big data analytics enhance the capabilities and applications of healthcare analytics.

Key Challenges

Data Privacy and Security Concerns:

Protecting sensitive patient data is critical, and compliance with regulations like HIPAA poses significant challenges for healthcare organizations.

Integration of Disparate Data Sources:

The fragmentation of data across various systems and platforms makes it difficult to achieve a unified view, hindering effective analytics.

Lack of Standardization:

The absence of standardized data formats and protocols complicates data sharing and interoperability, impacting the accuracy and reliability of analytics.

High Implementation Costs:

The initial investment required for advanced analytics solutions can be a barrier, especially for smaller healthcare providers with limited budgets.

Skill Shortages:

There is a shortage of skilled professionals proficient in data analytics and interpretation within the healthcare sector, limiting the effective utilization of analytics.

Resistance to Change:

Cultural resistance among healthcare professionals to adopt new technologies and workflows can slow down the implementation of analytics solutions.

Key Trends

Increased Adoption of AI and Machine Learning:

Healthcare organizations are increasingly leveraging artificial intelligence (AI) and machine learning algorithms to enhance predictive analytics, improve decision-making, and automate processes.

Shift Towards Value-Based Care:

The movement from fee-for-service to value-based care models is driving the demand for analytics solutions that can assess patient outcomes and manage costs effectively.

Rise of Real-Time Analytics:

There is a growing emphasis on real-time data analysis to support immediate decision-making and improve patient care in dynamic clinical environments.

Integration of Wearable Devices:

The proliferation of wearable health devices is generating vast amounts of data, prompting the need for advanced analytics to interpret this information and improve patient monitoring and engagement.

Focus on Population Health Management:

Organizations are utilizing analytics to identify health trends, manage chronic diseases, and improve health outcomes for specific populations.

Enhanced Interoperability Solutions:

Efforts to improve data sharing and interoperability among various healthcare systems are driving the development of more integrated analytics platforms.

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Global Healthcare Analytics Market Regional Analysis

Here is a more detailed regional analysis of the global healthcare analytics market:

North America

North America stands out as a leading region in the Global Healthcare Analytics Market, driven by technological innovation, robust healthcare infrastructure, and significant investment in data analytics solutions.

The Office of the National Coordinator for Health Information Technology (ONC) reports that as of 2021, 93% of office-based physicians in the United States have adopted certified EHR systems.

The United States, in particular, leads the region, with healthcare providers increasingly adopting analytics to enhance patient care, streamline operations, and improve financial performance.

The emphasis on value-based care and the need for improved patient outcomes have pushed healthcare organizations to leverage analytics for better decision-making.

The North American market benefits from the presence of numerous key players, including software vendors and consulting firms, which provide advanced analytics solutions tailored to the healthcare sector.

Regulatory pressures, such as those from the Affordable Care Act, further encourage healthcare entities to adopt analytics for compliance and performance improvement.

The integration of artificial intelligence (AI) and machine learning into healthcare analytics solutions is transforming how data is utilized, allowing for predictive analytics that can forecast patient needs and improve resource allocation.

As healthcare costs continue to rise, the demand for effective analytics solutions in North America is expected to grow, positioning the region as a leader in the global healthcare analytics landscape.

Asia Pacific

The Asia-Pacific region is anticipated to witness the fastest growth in the Global Healthcare Analytics Market during the forecast period, driven by increasing investments in healthcare infrastructure, rising healthcare costs, and a growing emphasis on patient-centric care.

According to a report by the Asia eHealth Information Network (AeHIN), the adoption of electronic health records (EHRs) in Southeast Asian countries increased from an average of 30% in 2016 to 55% in 2020.

A study published in The Lancet Global Health in 2023 found that the prevalence of diabetes in adults in Southeast Asia increased from 4.1% in 1990 to 9.2% in 2021, affecting approximately 96 million people in the region.

Countries such as China, India, and Japan are at the forefront of this growth, as they seek to improve healthcare delivery through data-driven insights.

In Asia-Pacific, healthcare providers are increasingly adopting analytics solutions to enhance operational efficiency, reduce costs, and improve patient outcomes.

The region's large population and diverse healthcare needs necessitate advanced analytics to manage resources effectively and deliver high-quality care.

The proliferation of electronic health records (EHRs) and digital health technologies is facilitating the collection and analysis of vast amounts of healthcare data, further fueling the demand for analytics solutions.

Government initiatives aimed at digitizing healthcare and promoting telemedicine are also contributing to the expansion of the healthcare analytics market.

The challenges such as data privacy concerns, a lack of skilled professionals, and varying regulatory frameworks across countries may hinder the market's growth.

Despite these challenges, the Asia-Pacific region is poised for significant advancements in healthcare analytics, making it a vital area for investment and development.

Global Healthcare Analytics Market: Segmentation Analysis

The Global Healthcare Analytics Market is segmented based on Component, Deployment, Application, End User, And Geography.

Healthcare Analytics Market, By Component

• Software
• Services

Based on the Component, the Global Healthcare Analytics Market is categorized into Software and Services. The Software segment is experiencing significant growth due to the increasing demand for data management solutions that enhance clinical decision-making and operational efficiency. Advanced analytics software is pivotal in processing large volumes of health data, enabling healthcare providers to derive actionable insights and improve patient outcomes. The rise in electronic health records (EHRs) and the push for value-based care are propelling the adoption of sophisticated analytics tools.

Healthcare Analytics Market, By Deployment

• On-Premise
• Cloud

Based on the Deployment, the Global Healthcare Analytics Market is categorized into On-Premise and Cloud deployment models. The Cloud segment is witnessing substantial growth driven by the rising demand for scalable and flexible solutions that allow healthcare organizations to access data and analytics tools remotely. Cloud-based analytics platforms offer enhanced collaboration, lower upfront costs, and seamless updates, making them attractive to healthcare providers looking to improve efficiency and patient outcomes.

Healthcare Analytics Market, By Application

• Clinical Analytics
• Financial Analytics
• Operational Analytics
• Population Health Analytics

Based on the Application, the Global Healthcare Analytics Market is categorized into Clinical Analytics, Financial Analytics, Operational Analytics, and Population Health Analytics. The Clinical Analytics segment is experiencing significant growth as healthcare providers increasingly leverage data to enhance patient care, improve treatment outcomes, and support clinical decision-making.

Healthcare Analytics Market, By End User

• Payers
• Providers

Based on the End User, the Global Healthcare Analytics Market is categorized into Payers and Providers. The Payers segment is experiencing substantial growth as insurance companies and managed care organizations utilize analytics to improve risk assessment, optimize claims processing, and enhance fraud detection. By leveraging data analytics, payers can make informed decisions that lead to better financial outcomes and improved customer satisfaction.

Healthcare Analytics Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Based on Geography, the Global Healthcare Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America stands out as a leading region in the Global Healthcare Analytics Market, driven by technological innovation, robust healthcare infrastructure, and significant investment in data analytics solutions. The Office of the National Coordinator for Health Information Technology (ONC) reports that as of 2021, 93% of office-based physicians in the United States have adopted certified EHR systems.The United States, in particular, leads the region, with healthcare providers increasingly adopting analytics to enhance patient care, streamline operations, and improve financial performance.

Key Players

• The "Global Healthcare Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are
• IBM Corporation, Oracle Corporation, SAS Institute Inc., Optum, Inc. (part of UnitedHealth Group), Cerner Corporation, McKesson Corporation, MedeAnalytics, Inc., Inovalon, Inc., Allscripts Healthcare Solutions, Inc., Health Catalyst, Inc., Cotiviti, Inc., Wipro Limited.
• This section offers in-depth analysis through a company overview, position analysis, the regional and industrial footprint of the company, and the ACE matrix for insightful competitive analysis. The section also provides an exhaustive analysis of the financial performances of mentioned players in the given market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Healthcare Analytics Market Key Developments

• In January 2024, Optum announced the acquisition of Change Healthcare, a leading provider of healthcare technology and analytics solutions, to enhance its capabilities in value-based care, revenue cycle management, and population health management.
• In September 2023, Oracle announced the launch of Oracle Health Insights, a suite of healthcare analytics solutions that leveraged AI and machine learning to provide actionable insights for improving patient outcomes and reducing costs.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL HEALTHCARE 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 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
• 4.5 Regulatory Framework

5 GLOBAL HEALTHCARE ANALYTICS MARKET, BY DELIVERY MODE

• 5.1 Overview
• 5.2 On-Premise Model
• 5.3 On-Demand Model

6 GLOBAL HEALTHCARE ANALYTICS MARKET, BY TYPE

• 6.1 Overview
• 6.2 Descriptive Analytics
• 6.3 Predictive Analytics
• 6.4 Prescriptive Analytics
• 6.5 Cognitive Analytics

7 GLOBAL HEALTHCARE ANALYTICS MARKET, BY COMPONENT

• 7.1 Overview
• 7.2 Services
• 7.3 Software
• 7.4 Hardware

8 GLOBAL HEALTHCARE ANALYTICS MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East & Africa

9 GLOBAL HEALTHCARE ANALYTICS MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market ranking
• 9.3 Vendor Landscape
• 9.4 Key Development Strategies

10 COMPANY PROFILES

• 10.1 IBM Corporation
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 Optum, Inc.
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 Cerner Corporation
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 SAS Institute, Inc.
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Allscripts Health Solutions
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Flatiron Health
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 Epic Systems Corporation
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Health Catalyst
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 Inovalon
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments

11 KEY DEVELOPMENTS

• 11.1 Product Launches/Developments
• 11.2 Mergers and Acquisitions
• 11.3 Business Expansions
• 11.4 Partnerships and Collaborations

12 APPENDIX

• 12.1 Related Research