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市場調查報告書

商品編碼

1616820

醫療保健分析的全球市場:各地區，2024年～2031年

Global Healthcare Analytics Market by Component, Deployment, Application, End User & Region for 2024-2031

出版日期: 2024年11月24日 | 出版商:

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

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簡介目錄

醫療保健分析市場規模與預測

2024 年醫療保健分析市場規模為 150.8 億美元，預計到 2031 年將達到 180.5 億美元，2024 年至 2031 年複合年增長率為 2.50%。醫療保健分析是指專注於分析醫療數據以改善患者治療結果、優化營運效率並支援醫療保健組織內的決策流程的領域。醫療保健分析包括各種類型的分析，包括利用電子健康記錄 (EHR)、臨床試驗、穿戴式裝置和其他醫療保健相關來源的數據的描述性分析、預測性分析和規範性分析。醫療保健分析應用於多種環境，包括醫院、診所、保險公司、上市公司和製藥公司。

用於病患管理、臨床決策支援、人口健康管理、財務預測、營運效率等。

醫療保健分析的主要目的是利用數據來提高護理品質、降低成本並改善業務流程。

分析大量醫療保健數據使組織能夠了解趨勢、優化資源分配並實施基於證據的實踐。

醫療保健分析支持遵守監管要求並促進醫療領域的研究和發展。

醫療保健分析在將數據轉化為可行的見解和提供更好的醫療保健結果方面發揮關鍵作用。

醫療保健分析的全球市場動態

塑造全球醫療保健分析市場的關鍵市場動態

主要市場驅動因子

資料量增加：

根據醫療保險和醫療補助服務中心 (CMS) 的數據，2020 年美國醫療保健支出將增加 9.7%，達到 4.1 兆美元，即人均 12,530 美元。這佔國內生產毛額（GDP）的19.7%。

電子健康記錄 (EHR)、醫學影像和穿戴式裝置產生的醫療保健資料呈指數級增長，需要先進的分析來進行有效的管理和決策。

改善病患治療效果的需求：

醫療保健提供者越來越注重利用分析來提高病患照護品質、降低再入院率並改善整體健康結果。

監理合規性：

遵守 HIPAA 和 MACRA 等醫療保健法規和標準的需求正在推動分析解決方案的採用，以實現更好的報告和資料管理。

降低成本：

分析使組織能夠透過優化資源分配和簡化流程來識別效率低下的情況並降低營運成本。

向基於價值的護理過渡：

從按服務收費到基於價值的護理模式的轉變強調了數據分析對於衡量護理品質和有效性的重要性。

技術進步：

人工智慧 (AI)、機器學習和大數據分析的創新將增強醫療保健分析的功能和應用。

主要問題

資料隱私與安全問題：

保護敏感的患者資料至關重要，遵守 HIPAA 等法規是醫療保健組織面臨的一項重大挑戰。

整合不同的資料來源：

跨不同系統和平台的碎片化資料使得難以實現統一視圖並阻礙有效分析。

缺乏標準化：

缺乏標準化資料格式和協定使資料共享和互通性變得複雜，影響分析的準確性和可靠性。

實施成本高：

高級分析解決方案所需的初始投資可能是一個障礙，特別是對於預算有限的小型醫療保健提供者。

缺乏技能：

醫療保健產業缺乏擅長數據分析和解釋的專業人士，限制了分析的有效使用。

抗拒改變：

醫療保健專業人員對採用新技術和工作流程的文化抵制減緩了分析解決方案的採用。

主要趨勢

擴大採用人工智慧和機器學習：

醫療保健組織越來越多地利用人工智慧 (AI) 和機器學習演算法來增強預測分析、改進決策和自動化流程。

轉向以價值為基礎的照護：

從按服務收費到基於價值的護理模式的轉變正在推動對能夠評估患者治療結果並有效管理成本的分析解決方案的需求。

即時分析的興起：

人們越來越重視即時數據分析，以支援即時決策並改善動態臨床環境中的病患照護。

穿戴式裝置整合：

穿戴式裝置的激增正在產生大量數據，需要高級分析來解釋這些資訊並改善患者監測和參與。

聚焦人口健康管理：

組織使用分析來識別健康趨勢、管理慢性病並改善特定族群的健康結果。

增強的互通性解決方案：

改善不同醫療保健系統之間的資料共享和互通性的努力正在推動更整合的分析平台的開發。

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.

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