Clinical Risk Grouping Solution Market – By Component (Software {Private & Public Cloud}, Service), Application (Population Health, Chronic Disease Management, Clinical Decision Support), End-use (ASC, Hospital & Clinic), Global Forecast (2024 – 2032)

Clinical Risk Grouping Solution Market – By Component (Software {Private & Public Cloud}, Service), Application (Population Health, Chronic Disease Management, Clinical Decision Support), End-use (ASC, Hospital & Clinic), Global Forecast (2024 – 2032)


Clinical risk grouping solution market size is anticipated to witness 11.5% CAGR between 2024 and 2032 driven by the increasing need for effective risk management and patient stratification in healthcare systems. As healthcare providers are focusing on improving patient outcomes and optimizing resource allocation, clinical risk grouping solutions are favored to offer valuable tools for identifying patients at higher risk of adverse events or complications. For instance, in September 2023, Reveleer unveiled two new suites of solutions for risk-bearing providers.

These technologies are enhancing the accuracy and efficiency of risk assessments by processing vast amounts of patient data and identifying patterns that may not be apparent through traditional methods. The integration of these solutions with electronic health records (EHRs) and other healthcare IT systems is also improving their utility and accessibility for streamlining the risk management process for healthcare providers.

The overall industry growth is divided into component, application, end-use and region.

Based on component, the clinical risk grouping solution market from the services segment is slated to witness significant growth during 2024-2032. This is due to the comprehensive support and customization for implementing and optimizing risk management solutions. Services, such as consulting, training, and ongoing technical support are essential for healthcare organizations to effectively integrate clinical risk grouping solutions into their existing workflows and maximize their benefits.

Clinical risk grouping solution market size from the chronic disease management application segment will foresee considerable growth up to 2032. This is owing to the need for effective patient stratification and monitoring in managing long-term health conditions. Clinical risk grouping solutions are essential for identifying high-risk patients with chronic diseases, such as diabetes, cardiovascular disorders, and respiratory conditions, allowing healthcare providers to tailor treatment plans and interventions more precisely.

Asia Pacific clinical risk grouping solution industry is anticipated to witness substantial growth through 2032 attributed to rapid healthcare digitization and increasing emphasis on improving patient outcomes amidst rising healthcare costs. As several APAC countries are investing in advanced healthcare technologies and EHRs, there is growing demand for clinical risk grouping solutions to enhance patient stratification and optimize care delivery.


Chapter 1 Methodology & Scope
1.1 Market scope & definitions
1.2 Research design
1.2.1 Research approach
1.2.2 Data collection methods
1.3 Base estimates & calculations
1.3.1 Base year calculation
1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
1.5.1 Primary sources
1.5.2 Data mining sources
Chapter 2 Executive Summary
2.1 Industry 360º synopsis
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Increasing healthcare cost
3.2.1.2 Rise in the adoption of electronic health records (EHR)
3.2.1.3 Increasing investment in healthcare IT
3.2.2 Industry pitfalls & challenges
3.2.2.1 Data security and privacy concerns
3.2.2.2 Regulatory and legal challenges
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Porter’s analysis
3.6 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategic dashboard
Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($ Mn)
5.1 Key trends
5.2 Software
5.2.1 Private cloud
5.2.2 Public cloud
5.2.3 Hybrid cloud
5.3 Services
Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)
6.1 Key trends
6.2 Population health management
6.3 Chronic disease management
6.4 Clinical decision support
6.5 Fraud detection and prevention
6.6 Other applications
Chapter 7 Market Estimates and Forecast, By End-use, 2021 - 2032 ($ Mn)
7.1 Key trends
7.2 Hospitals & clinics
7.3 Ambulatory surgical centers
7.4 Long term care centers
7.5 Other end-users
Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)
8.1 Key trends
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 UK
8.3.3 France
8.3.4 Spain
8.3.5 Italy
8.3.6 Netherlands
8.3.7 Rest of Europe
8.4 Asia Pacific
8.4.1 Japan
8.4.2 China
8.4.3 India
8.4.4 Australia
8.4.5 South Korea
8.4.6 Rest of Asia Pacific
8.5 Latin America
8.5.1 Brazil
8.5.2 Mexico
8.5.3 Rest of Latin America
8.6 Middle East and Africa
8.6.1 South Africa
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Rest of Middle East and Africa
Chapter 9 Company Profiles
9.1 3M Corporation
9.2 4S Dawn Clinical Software
9.3 Apixio
9.4 Cotiviti Inc.
9.5 Evolent
9.6 HBI Solutions
9.7 Health Catalyst, Inc.
9.8 HealthEC LLC
9.9 Lightbeam Health Solutions
9.10 MedeAnalytics, Inc.
9.11 Nuance Communications, Inc.
9.12 Optum, Inc.
9.13 RELX (LexisNexis Risk Solution)
9.14 ZeOmega

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