医疗保健分析的全球市场:各地区，2024年～2031年

医疗保健分析市场规模与预测

2024 年医疗保健分析市场规模为 150.8 亿美元，预计到 2031 年将达到 180.5 亿美元，2024 年至 2031 年复合年增长率为 2.50%。医疗保健分析是指专注于分析医疗数据以改善患者治疗结果、优化营运效率并支援医疗保健组织内的决策流程的领域。医疗保健分析包括各种类型的分析，包括利用电子健康记录 (EHR)、临床试验、穿戴式装置和其他医疗保健相关来源的数据的描述性分析、预测性分析和规范性分析。医疗保健分析应用于多种环境，包括医院、诊所、保险公司、上市公司和製药公司。

用于病患管理、临床决策支援、人口健康管理、财务预测、营运效率等。

医疗保健分析的主要目的是利用数据来提高护理品质、降低成本并改善业务流程。

分析大量医疗保健数据使组织能够了解趋势、优化资源分配并实施基于证据的实践。

医疗保健分析支持遵守监管要求并促进医疗领域的研究和发展。

医疗保健分析在将数据转化为可行的见解和提供更好的医疗保健结果方面发挥关键作用。

医疗保健分析的全球市场动态

塑造全球医疗保健分析市场的关键市场动态

主要市场驱动因子

资料量增加：

根据医疗保险和医疗补助服务中心 (CMS) 的数据，2020 年美国医疗保健支出将增加 9.7%，达到 4.1 兆美元，即人均 12,530 美元。这占国内生产毛额（GDP）的19.7%。

电子健康记录 (EHR)、医学影像和穿戴式装置产生的医疗保健资料呈指数级增长，需要先进的分析来进行有效的管理和决策。

改善病患治疗效果的需求：

医疗保健提供者越来越注重利用分析来提高病患照护品质、降低再入院率并改善整体健康结果。

监理合规性：

遵守 HIPAA 和 MACRA 等医疗保健法规和标准的需求正在推动分析解决方案的采用，以实现更好的报告和资料管理。

降低成本：

分析使组织能够透过优化资源分配和简化流程来识别效率低下的情况并降低营运成本。

向基于价值的护理过渡：

从按服务收费到基于价值的护理模式的转变强调了数据分析对于衡量护理品质和有效性的重要性。

技术进步：

人工智慧 (AI)、机器学习和大数据分析的创新将增强医疗保健分析的功能和应用。

主要问题

资料隐私与安全问题：

保护敏感的患者资料至关重要，遵守 HIPAA 等法规是医疗保健组织面临的一项重大挑战。

整合不同的资料来源：

跨不同系统和平台的碎片化资料使得难以实现统一视图并阻碍有效分析。

缺乏标准化：

缺乏标准化资料格式和协定使资料共享和互通性变得复杂，影响分析的准确性和可靠性。

实施成本高：

高级分析解决方案所需的初始投资可能是一个障碍，特别是对于预算有限的小型医疗保健提供者。

缺乏技能：

医疗保健产业缺乏擅长数据分析和解释的专业人士，限制了分析的有效使用。

抗拒改变：

医疗保健专业人员对采用新技术和工作流程的文化抵制减缓了分析解决方案的采用。

主要趋势

扩大采用人工智慧和机器学习：

医疗保健组织越来越多地利用人工智慧 (AI) 和机器学习演算法来增强预测分析、改进决策和自动化流程。

转向以价值为基础的照护：

从按服务收费到基于价值的护理模式的转变正在推动对能够评估患者治疗结果并有效管理成本的分析解决方案的需求。

即时分析的兴起：

人们越来越重视即时数据分析，以支援即时决策并改善动态临床环境中的病患照护。

穿戴式装置整合：

穿戴式装置的激增正在产生大量数据，需要高级分析来解释这些资讯并改善患者监测和参与。

聚焦人口健康管理：

组织使用分析来识别健康趋势、管理慢性病并改善特定族群的健康结果。

增强的互通性解决方案：

改善不同医疗保健系统之间的资料共享和互通性的努力正在推动更整合的分析平台的开发。

目录

第1章 全球医疗保健分析市场:简介

• 市场概要
• 调查范围
• 前提条件

第2章 摘要整理

第3章 VERIFIED MARKET RESEARCH的调查手法

• 资料探勘
• 检验
• 主要采访
• 资料来源一览

第4章 医疗保健分析的全球市场展望

• 概要
• 市场动态
  • 促进因素
  • 阻碍因素
  • 机会
• 波特的五力分析
• 价值链分析
• 法律规范

第5章 医疗保健分析的全球市场，各部署模式

• 概要
• 内部部署模式
• 随选模式

第6章 医疗保健分析的全球市场:各类型

• 概要
• 说明分析
• 预测分析
• 处方的分析
• 认识分析

第7章 医疗保健分析的全球市场，各零件

• 概要
• 服务
• 软体
• 硬体设备

第8章 医疗保健分析的全球市场:各地区

• 概要
• 北美
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 其他欧洲
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 全球其他地区
  • 南美
  • 中东·非洲

第9章 全球医疗保健分析市场竞争情形

• 概要
• 企业市场排行榜
• 业者情势
• 主要的发展策略

第10章 企业简介

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

第11章 主要发展

• 产品的上市/开发
• 合併和收购
• 事业扩大
• 伙伴关係和合作

第12章 附录

• 相关调查

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