헬스케어 애널리틱스 시장 : 컴포넌트, 유형, 전개 모델, 용도, 최종사용자별 - 세계 예측(2025-2030년)

The Healthcare Analytics Market was valued at USD 36.29 billion in 2023 and is projected to grow to USD 44.93 billion in 2024, with a CAGR of 24.07%, reaching USD 164.33 billion by 2030.

In the rapidly evolving world of healthcare analytics, this report provides a foundational overview that sets the stage for a deep dive into market dynamics and emerging trends. The healthcare industry has long been driven by the need for innovative solutions that can enhance patient outcomes, streamline operations, and reduce costs. As data becomes more accessible and analytical tools more sophisticated, organizations are transitioning from intuition-based to evidence-driven decision-making.

This document outlines a comprehensive approach to understanding the current state and future potential of healthcare analytics, with a particular focus on actionable insights tailored for key industry stakeholders. The content presented here is designed for experts and decision-makers who are keen to harness the power of data to drive operational excellence and sustainable growth.

Our exploration begins with an introduction to the vital role analytics plays in transforming patient care, operational efficiency, and financial management. The discussion highlights how advanced technology and innovative services have shifted the market dynamics over the past few years, setting the stage for unprecedented growth. By shedding light on both opportunities and challenges, this report serves as a guiding document for healthcare organizations aiming to adapt quickly in a fierce competitive landscape.

Transformative Shifts in the Landscape: A New Era in Healthcare Analytics

Healthcare analytics is undergoing transformative shifts, fundamentally changing the way organizations strategize, operate, and deliver patient care. Driven by rapid advancements in information technology and the integration of complex data sets, the market is now witnessing a confluence of innovative tools and methodologies that are redefining industry norms.

At the heart of these changes is the growing adoption of big data and cloud computing, which have ushered in a new era of real-time insights. Organizations now have the capability to process vast amounts of information, allowing them to predict trends, identify inefficiencies, and deploy proactive measures even before challenges materialize. This evolution is not only facilitating better decision-making but is also fostering an environment where continuous improvement is the standard.

Additionally, the integration of artificial intelligence and machine learning algorithms into traditional data systems has unlocked predictive and prescriptive analytical capabilities. These technologies enable healthcare providers to forecast patient needs, optimize resource allocation, and reduce operational costs significantly. As the market embraces these transformative technologies, there is a renewed focus on enhancing patient safety and achieving quality improvements that resonate across every facet of healthcare delivery. The resulting landscape is one that is adaptive, streamlined, and significantly more resilient in the face of ongoing industry disruptions.

Key Segmentation Insights: A Detailed Breakdown

Diving deeper into segmentation insights, the market is increasingly being dissected along multiple dimensions that highlight its complexity and broad applicability. One key area of segmentation revolves around the component stage, with a clear differentiation between services and software offerings. Within the services category, further granular analysis has been carried out across consulting services, professional services, and support and maintenance, each contributing uniquely to market growth and operational efficiency. Beyond this, market segmentation based on type reveals a comprehensive breakdown into descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. These facets not only determine the technological progression but also dictate the strategic priorities of many healthcare institutions.

Moreover, the deployment model segmentation underscores a critical decision point for organizations, as it contrasts cloud-based solutions with on-premise systems. This decision is central to balancing scalability with control over sensitive data. When analyzing the application dimension, the market displays a rich tapestry of focus areas, including clinical analytics, financial analytics, operational and administrative analytics, and population health management. Each of these areas is further delineated - for instance, clinical analytics extends to patient safety and quality improvement, while financial analytics focuses on claims management and revenue cycle management. Operational and administrative analytics provide insights into strategic analytics, supply chain analytics, and workforce analytics, and population health management addresses chronic disease management and patient engagement.

Finally, end-user segmentation offers a snapshot of the market's diverse client base, ranging from healthcare payers and providers to entities in the medical device and pharmaceutical industries, as well as pharmacies. This layered segmentation analysis equips stakeholders with a nuanced view of the market, ensuring that solutions are tailored precisely to the distinct needs of different segments and driving targeted innovation across the board.

Based on Component, market is studied across Services and Software. The Services is further studied across Consulting Services, Professional Services, and Support & Maintenance.

Based on Type, market is studied across Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics.

Based on Deployment Model, market is studied across Cloud-Based and On-Premise.

Based on Application, market is studied across Clinical Analytics, Financial Analytics, Operational & Administrative Analytics, and Population Health Management. The Clinical Analytics is further studied across Patient Safety and Quality Improvement. The Financial Analytics is further studied across Claims Management and Revenue Cycle Management. The Operational & Administrative Analytics is further studied across Strategic Analytics, Supply Chain Analytics, and Workforce Analytics. The Population Health Management is further studied across Chronic Disease Management and Patient Engagement.

Based on End User, market is studied across Healthcare Payers, Healthcare Providers, Medical Device & Pharmaceutical Industries, and Pharmacies.

Key Regional Insights: Global Perspectives

Regional insights reveal that the transformative impact of healthcare analytics is global in scope. In the Americas, market adoption is rapidly accelerating, bolstered by robust funding environments, a high degree of digital maturity, and a strong commitment to healthcare innovation. European, Middle Eastern, and African regions offer a distinct combination of regulatory challenges and technological advancements, with a clear focus on integrating data compliance with cutting-edge solutions to improve patient care outcomes. In the Asia-Pacific region, the landscape is marked by both burgeoning opportunities and significant challenges, as rapidly expanding economies and evolving healthcare infrastructures create a dynamic environment ripe for digital transformation.

Each region faces its own specific challenges and opportunities, yet the universal thread is a drive toward more efficient, data-driven healthcare systems. This global perspective underscores the importance of tailoring strategies to meet regional needs while maintaining a unified vision to harness the full potential of healthcare analytics worldwide.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Companies Insights: Leaders Driving Innovation

The market is significantly influenced by a cadre of leading companies that are at the forefront of driving innovation in healthcare analytics. Several industry giants are making noteworthy contributions, leveraging their extensive technological expertise and extensive market reach to lead transformative initiatives. Prominent players such as Alteryx, Inc. and Apixio, Inc. are known for their analytics platforms that streamline data processing and deliver actionable insights. Moreover, companies including Arcadia Solutions, LLC and Athenahealth, Inc. are setting benchmarks in integrating analytics into everyday healthcare operations, thereby enhancing clinical and operational outcomes.

Technology powerhouses like Cisco Systems, Inc. and Epic Systems Corporation have redefined the parameters of data security and interoperability, ensuring that analytical tools are both robust and scalable. Firms such as CitiusTech Inc. and Clarify Health Solutions, Inc. are deepening the analytical capabilities of healthcare providers by innovating in areas like predictive modeling and real-time data integration. Other influential organizations such as ClosedLoop.ai Inc., Cloudticity, L.L.C, and Cotiviti, Inc. are expanding the sphere of analytical applications to include aspects like risk management and revenue optimization.

Additional market leaders like GE HealthCare Technologies Inc., Google LLC by Alphabet Inc., Health Catalyst, Inc., and HealthVerity, Inc. continue to push the envelope by pioneering breakthroughs in machine learning and artificial intelligence. Notably, companies such as HOKUTO Inc., Inovalon Holdings, Inc., and International Business Machines Corporation have contributed significantly to the development of innovative, data-driven business models. The blend of established giants like IQVIA Inc., McKesson Corporation, MedeAnalytics, Inc., and Microsoft Corporation with forward-thinking players like Optum, Inc., Oracle Corporation, RIB Datapine GmbH, SAP SE, SAS Institute, Inc., Veradigm LLC, and Verinovum has created a rich, competitive landscape. This competitive environment encourages continuous innovation, ensuring that the latest analytical tools and strategies are leveraged to enhance both patient outcomes and operational efficiencies. Lastly, emerging innovators such as Virgin Pulse and Wipro are rapidly capturing market attention with their novel approaches, signifying a robust and diverse industry ecosystem dedicated to driving forward the analytics agenda.

The report delves into recent significant developments in the Healthcare Analytics Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Apixio, Inc., Arcadia Solutions, LLC, Athenahealth, Inc., Cisco Systems, Inc., CitiusTech Inc., Clarify Health Solutions, Inc., ClosedLoop.ai Inc., Cloudticity, L.L.C, Cotiviti, Inc., Epic Systems Corporation, GE HealthCare Technologies Inc., Google LLC by Alphabet Inc., Health Catalyst, Inc., HealthVerity, Inc., HOKUTO Inc., Inovalon Holdings, Inc., International Business Machines Corporation, IQVIA Inc., McKesson Corporation, MedeAnalytics, Inc., Microsoft Corporation, Optum, Inc., Oracle Corporation, RIB Datapine GmbH, SAP SE, SAS Institute, Inc., Veradigm LLC, Verinovum, Virgin Pulse, and Wipro. Actionable Recommendations for Industry Leaders: Strategic Steps Forward

For industry leaders aiming to navigate the evolving terrain of healthcare analytics, a proactive and adaptive strategy is essential. It is recommended that organizations regularly evaluate their current analytical capabilities and integrate scalable solutions that align with their strategic vision. Emphasizing the need for a balanced portfolio that includes both software and services, decision-makers should invest in diversified offerings to ensure comprehensive support across all analytical needs.

Leaders are encouraged to take advantage of the rapid evolution in cloud-based technologies to enhance data accessibility and security, while also exploring the potential of on-premise solutions that offer a higher degree of control. Additionally, focusing on the entire spectrum from descriptive to prescriptive analytics ensures that organizations are well-equipped to transform raw data into actionable insights. Aligning investments with a well-articulated end-user strategy can also facilitate more targeted and effective implementations, ultimately resulting in operational efficiencies, improved patient outcomes, and sustainable competitive advantages.

Conclusion: Charting a Course for Future Success

In conclusion, the current landscape of healthcare analytics is defined by rapid technological innovation and deep market segmentation. Organizations that embrace these changes are better positioned to drive improvements in patient care, operational efficiency, and financial performance. Through a detailed analysis spanning transformative shifts, segmented insights, and regional trends, the report highlights that successful navigation requires not only adoption of advanced analytics but also strategic investments in technology and talent.

As technology continues to push boundaries and redefine operational norms, the ability to adapt and innovate will remain crucial. This comprehensive overview serves as both a roadmap and a call for action, pushing stakeholders to reimagine their strategies and invest in the tools and insights necessary to thrive in an increasingly competitive market.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising government focus on healthcare fraud detection and control
    • 5.1.1.2. Adoption of electronic health records (EHR) to streamline healthcare processes
  • 5.1.2. Restraints
    • 5.1.2.1. Complexities in integration and interoperability with existing models
  • 5.1.3. Opportunities
    • 5.1.3.1. Growing funding and investment activities to provide innovative data solutions for healthcare providers
    • 5.1.3.2. Harnessing artificial intelligence in diagnostics to transform precision and efficiency in healthcare
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns associated data privacy and security breaches
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Growing adoption of software in healthcare analytics owing to a rising need for advanced data processing
  • 5.2.2. Type: Rising preference for prescriptive analytics to optimize decision-making processes
  • 5.2.3. Deployment Model: Growing preference for cloud-based deployment owing to its cost-effectiveness and increased flexibility
  • 5.2.4. Application: Increasing utilization of healthcare analytics in clinical analytics for improving patient outcomes and ensuring safety
  • 5.2.5. End User: Increasing usage of healthcare analytics by healthcare payers to analyze risk and enhance claim management processes
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Healthcare Analytics Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Consulting Services
  • 6.2.2. Professional Services
  • 6.2.3. Support & Maintenance
• 6.3. Software

7. Healthcare Analytics Market, by Type

• 7.1. Introduction
• 7.2. Descriptive Analytics
• 7.3. Diagnostic Analytics
• 7.4. Predictive Analytics
• 7.5. Prescriptive Analytics

8. Healthcare Analytics Market, by Deployment Model

• 8.1. Introduction
• 8.2. Cloud-Based
• 8.3. On-Premise

9. Healthcare Analytics Market, by Application

• 9.1. Introduction
• 9.2. Clinical Analytics
  • 9.2.1. Patient Safety
  • 9.2.2. Quality Improvement
• 9.3. Financial Analytics
  • 9.3.1. Claims Management
  • 9.3.2. Revenue Cycle Management
• 9.4. Operational & Administrative Analytics
  • 9.4.1. Strategic Analytics
  • 9.4.2. Supply Chain Analytics
  • 9.4.3. Workforce Analytics
• 9.5. Population Health Management
  • 9.5.1. Chronic Disease Management
  • 9.5.2. Patient Engagement

10. Healthcare Analytics Market, by End User

• 10.1. Introduction
• 10.2. Healthcare Payers
• 10.3. Healthcare Providers
• 10.4. Medical Device & Pharmaceutical Industries
• 10.5. Pharmacies

11. Americas Healthcare Analytics Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Healthcare Analytics Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Healthcare Analytics Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. Clarify Health and Prealize Health partnership revolutionizes predictive analytics for enhanced healthcare outcomes
  • 14.3.2. Duke Health and SAS partner for AI-driven healthcare innovation
  • 14.3.3. Healthian launches AI-driven video analysis feature for enhancing health understanding
  • 14.3.4. OMNY Health's AI platform revolutionizes data accessibility for accelerated drug development
  • 14.3.5. ABOUT Healthcare's strategic acquisition of AI analytics platform Edgility reshapes patient-management solutions
  • 14.3.6. Innovaccer revolutionizes healthcare analytics with provider AI companion launch at HIMSS24
  • 14.3.7. GE HealthCare and Biofourmis collaborate to revolutionize remote patient monitoring with virtual care-at-home solutions
  • 14.3.8. Apixio and ClaimLogiq merge to revolutionize healthcare with AI-driven connected care platform
  • 14.3.9. Google and Mayo Clinic launch generative artificial intelligence collabaration
  • 14.3.10. SAS and EBLA's strategic partnership transforming Qatar's healthcare
  • 14.3.11. Apollo Intelligence launched AI-driven rapid insights platform to revolutionize healthcare analytics
  • 14.3.12. Deloitte and Oracle partnered for patient-centric, digitally-enabled healthcare advancement
  • 14.3.13. Epic and Microsoft partner to use generative AI for better EHRs
  • 14.3.14. Arcadia raises USD 125 Million in new financing from Vista Credit Partners
  • 14.3.15. Redox and Google Cloud partnered to accelerate healthcare data interoperability
• 14.4. Strategy Analysis & Recommendation
  • 14.4.1. GE HealthCare Technologies Inc.
  • 14.4.2. Google LLC by Alphabet Inc.
  • 14.4.3. Oracle Corporation
  • 14.4.4. International Business Machines Corporation

Companies Mentioned

• 1. Alteryx, Inc.
• 2. Apixio, Inc.
• 3. Arcadia Solutions, LLC
• 4. Athenahealth, Inc.
• 5. Cisco Systems, Inc.
• 6. CitiusTech Inc.
• 7. Clarify Health Solutions, Inc.
• 8. ClosedLoop.ai Inc.
• 9. Cloudticity, L.L.C
• 10. Cotiviti, Inc.
• 11. Epic Systems Corporation
• 12. GE HealthCare Technologies Inc.
• 13. Google LLC by Alphabet Inc.
• 14. Health Catalyst, Inc.
• 15. HealthVerity, Inc.
• 16. HOKUTO Inc.
• 17. Inovalon Holdings, Inc.
• 18. International Business Machines Corporation
• 19. IQVIA Inc.
• 20. McKesson Corporation
• 21. MedeAnalytics, Inc.
• 22. Microsoft Corporation
• 23. Optum, Inc.
• 24. Oracle Corporation
• 25. RIB Datapine GmbH
• 26. SAP SE
• 27. SAS Institute, Inc.
• 28. Veradigm LLC
• 29. Verinovum
• 30. Virgin Pulse
• 31. Wipro