Clinical Risk Grouping Solution Market Size, Share & Trends Analysis Report By Product (Software, Services), By Application (Population Health Management, Chronic Disease Management), By End Use, By Region, And Segment Forecasts, 2024 - 2030

Clinical Risk Grouping Solution Market Size, Share & Trends Analysis Report By Product (Software, Services), By Application (Population Health Management, Chronic Disease Management), By End Use, By Region, And Segment Forecasts, 2024 - 2030


Clinical Risk Grouping Solution Market Growth & Trends

The global clinical risk grouping solution market size is anticipated to reach USD 1.67 billion by 2030 and is anticipated to expand at a CAGR of 13.13% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market encompasses various tools and technologies designed to assess and manage patient risk within healthcare settings effectively.

The progress made in data analytics and technology is crucial for propelling the market forward. Incorporating artificial intelligence (AI) and machine learning (ML) into clinical risk grouping solutions significantly improves their ability to predict outcomes, enabling healthcare providers to make better-informed decisions.

As healthcare providers strive to enhance patient outcomes while controlling expenses, the necessity for comprehensive population health management solutions has become increasingly important. These solutions empower healthcare organizations to analyze patient data effectively, pinpoint high-risk individuals, and implement preventive strategies.

Clinical Risk Grouping Solution Market Report Highlights
  • Based on product, software held the largest market share of 77.46% in 2023. The rising use of electronic health records (EHRs) and advanced analytics tools has driven the demand for software solutions to accurately classify patients according to their clinical risks, support personalized treatment plans, and enhance patient outcomes.
  • Based on application, Population health management held the largest market share of 33.20% in 2023. This segment consolidates patient data from diverse sources, such as electronic health records, claims data, and social determinants of health, to pinpoint high-risk individuals and devise customized interventions to enhance overall health outcomes.
  • Based on end use, hospitals and clinic dominated the market with the largest revenue share of 48.30% in 2023.These institutions employ clinical risk grouping solutions to classify patients according to their health conditions, treatment requirements, and potential risks, enabling personalized care plans that can improve patient management and lower costs.
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Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Segment Definitions
1.2.1. Product
1.2.2. Application
1.2.3. End Use
1.2.4. Regional scope
1.2.5. Estimates and forecasts timeline
1.3. Research Methodology
1.4. Information Procurement
1.4.1. Purchased database
1.4.2. GVR’s internal database
1.4.3. Secondary sources
1.4.4. Primary research
1.4.5. Details of primary research
1.4.5.1. Data for primary interviews in North America
1.4.5.2. Data for primary interviews in Europe
1.4.5.3. Data for primary interviews in Asia Pacific
1.4.5.4. Data for primary interviews in Latin America
1.4.5.5. Data for Primary interviews in MEA
1.5. Information or Data Analysis
1.5.1. Data analysis models
1.6. Market Formulation & Validation
1.7. Model Details
1.7.1. Commodity flow analysis (Model 1)
1.7.2. Approach 1: Commodity flow approach
1.8. List of Secondary Sources
1.9. List of Primary Sources
1.10. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.2.1. Product Outlook
2.2.2. Application Outlook
2.2.3. End Use Outlook
2.2.4. Regional outlook
2.3. Competitive Insights
Chapter 3. Clinical Risk Grouping Solutions Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.1.1. Rising consumer awareness regarding risk management
3.2.1.2. Implementation of big data solutions
3.2.1.3. Increasing focus on AI & Machine Learning
3.2.2. Market restraint analysis
3.2.2.1. Patient Data Privacy Concerns
3.3. Clinical Risk Grouping Solutions Market Analysis Tools
3.3.1. Industry Analysis - Porter’s Five Forces
3.3.1.1. Supplier power
3.3.1.2. Buyer power
3.3.1.3. Substitution threat
3.3.1.4. Threat of new entrant
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Technological landscape
3.3.2.3. Economic landscape
Chapter 4. Clinical Risk Grouping Solutions Market: Product Estimates & Trend Analysis
4.1. Global Clinical Risk Grouping Solutions Market: Product Dashboard
4.2. Global Clinical Risk Grouping Solutions Market: Product Movement Analysis
4.3. Global Clinical Risk Grouping Solutions Market Estimates and Forecasts, by Product, Revenue (USD Million)
4.4. Software
4.4.1. Software market estimates and forecasts 2018 to 2030 (USD Million)
4.4.2. Private cloud
4.4.2.1. Private cloud market estimates and forecasts 2018 to 2030 (USD Million)
4.4.3. Public cloud
4.4.3.1. Public cloud market estimates and forecasts 2018 to 2030 (USD Million)
4.4.4. Hybrid cloud
4.4.4.1. Hybrid cloud market estimates and forecasts 2018 to 2030 (USD Million)
4.5. Services
4.5.1. Services market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 5. Clinical Risk Grouping Solutions Market: Application Estimates & Trend Analysis
5.1. Global Clinical Risk Grouping Solutions Market: Application Dashboard
5.2. Global Clinical Risk Grouping Solutions Market: Application Movement Analysis
5.3. Global Clinical Risk Grouping Solutions Market by Application, Revenue
5.4. Population health management
5.4.1. Population health management market estimates and forecasts 2018 to 2030 (USD Million)
5.5. Chronic disease management
5.5.1. Chronic disease management market estimates and forecasts 2018 to 2030 (USD Million)
5.6. Clinical decision support
5.6.1. Clinical decision support market estimates and forecasts 2018 to 2030 (USD Million)
5.7. Fraud detection and prevention
5.7.1. Fraud detection and prevention market estimates and forecasts 2018 to 2030 (USD Million)
5.8. Other
5.8.1. Other market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 6. Clinical Risk Grouping Solutions Market: End Use Estimates & Trend Analysis
6.1. Global Clinical Risk Grouping Solutions Market: End Use Dashboard
6.2. Global Clinical Risk Grouping Solutions Market: End Use Movement Analysis
6.3. Global Clinical Risk Grouping Solutions Market Estimates and Forecasts, By End Use, Revenue (USD Million)
6.4. Hospitals & Clinics
6.4.1. Hospitals & clinics market estimates and forecasts 2018 to 2030 (USD Million)
6.5. Ambulatory surgical centers
6.5.1. Ambulatory surgical centers market estimates and forecasts 2018 to 2030 (USD Million)
6.6. Long term care centers
6.6.1. Long term care centers market estimates and forecasts 2018 to 2030 (USD Million)
6.7. Others
6.7.1. Others market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 7. Clinical Risk Grouping Solutions Market: Regional Estimates & Trend Analysis by Product, Application and End Use
7.1. Regional Dashboard
7.2. Market Size, & Forecasts Trend Analysis, 2018 to 2030:
7.3. North America
7.3.1. U.S.
7.3.1.1. Key country dynamics
7.3.1.2. Regulatory framework/ reimbursement structure
7.3.1.3. Competitive scenario
7.3.1.4. U.S. market estimates and forecasts 2018 to 2030 (USD Million)
7.3.2. Canada
7.3.2.1. Key country dynamics
7.3.2.2. Regulatory framework/ reimbursement structure
7.3.2.3. Competitive scenario
7.3.2.4. Canada market estimates and forecasts 2018 to 2030 (USD Million)
7.3.3. Mexico
7.3.3.1. Key country dynamics
7.3.3.2. Regulatory framework/ reimbursement structure
7.3.3.3. Competitive scenario
7.3.3.4. Mexico market estimates and forecasts 2018 to 2030 (USD Million)
7.4. Europe
7.4.1. UK
7.4.1.1. Key country dynamics
7.4.1.2. Regulatory framework/ reimbursement structure
7.4.1.3. Competitive scenario
7.4.1.4. UK market estimates and forecasts 2018 to 2030 (USD Million)
7.4.2. Germany
7.4.2.1. Key country dynamics
7.4.2.2. Regulatory framework/ reimbursement structure
7.4.2.3. Competitive scenario
7.4.2.4. Germany market estimates and forecasts 2018 to 2030 (USD Million)
7.4.3. France
7.4.3.1. Key country dynamics
7.4.3.2. Regulatory framework/ reimbursement structure
7.4.3.3. Competitive scenario
7.4.3.4. France market estimates and forecasts 2018 to 2030 (USD Million)
7.4.4. Italy
7.4.4.1. Key country dynamics
7.4.4.2. Regulatory framework/ reimbursement structure
7.4.4.3. Competitive scenario
7.4.4.4. Italy market estimates and forecasts 2018 to 2030 (USD Million)
7.4.5. Spain
7.4.5.1. Key country dynamics
7.4.5.2. Regulatory framework/ reimbursement structure
7.4.5.3. Competitive scenario
7.4.5.4. Spain market estimates and forecasts 2018 to 2030 (USD Million)
7.4.6. Norway
7.4.6.1. Key country dynamics
7.4.6.2. Regulatory framework/ reimbursement structure
7.4.6.3. Competitive scenario
7.4.6.4. Norway market estimates and forecasts 2018 to 2030 (USD Million)
7.4.7. Sweden
7.4.7.1. Key country dynamics
7.4.7.2. Regulatory framework/ reimbursement structure
7.4.7.3. Competitive scenario
7.4.7.4. Sweden market estimates and forecasts 2018 to 2030 (USD Million)
7.4.8. Denmark
7.4.8.1. Key country dynamics
7.4.8.2. Regulatory framework/ reimbursement structure
7.4.8.3. Competitive scenario
7.4.8.4. Denmark market estimates and forecasts 2018 to 2030 (USD Million)
7.5. Asia Pacific
7.5.1. Japan
7.5.1.1. Key country dynamics
7.5.1.2. Regulatory framework/ reimbursement structure
7.5.1.3. Competitive scenario
7.5.1.4. Japan market estimates and forecasts 2018 to 2030 (USD Million)
7.5.2. China
7.5.2.1. Key country dynamics
7.5.2.2. Regulatory framework/ reimbursement structure
7.5.2.3. Competitive scenario
7.5.2.4. China market estimates and forecasts 2018 to 2030 (USD Million)
7.5.3. India
7.5.3.1. Key country dynamics
7.5.3.2. Regulatory framework/ reimbursement structure
7.5.3.3. Competitive scenario
7.5.3.4. India market estimates and forecasts 2018 to 2030 (USD Million)
7.5.4. Australia
7.5.4.1. Key country dynamics
7.5.4.2. Regulatory framework/ reimbursement structure
7.5.4.3. Competitive scenario
7.5.4.4. Australia market estimates and forecasts 2018 to 2030 (USD Million)
7.5.5. South Korea
7.5.5.1. Key country dynamics
7.5.5.2. Regulatory framework/ reimbursement structure
7.5.5.3. Competitive scenario
7.5.5.4. South Korea market estimates and forecasts 2018 to 2030 (USD Million)
7.5.6. Thailand
7.5.6.1. Key country dynamics
7.5.6.2. Regulatory framework/ reimbursement structure
7.5.6.3. Competitive scenario
7.5.6.4. Thailand market estimates and forecasts 2018 to 2030 (USD Million)
7.6. Latin America
7.6.1. Brazil
7.6.1.1. Key country dynamics
7.6.1.2. Regulatory framework/ reimbursement structure
7.6.1.3. Competitive scenario
7.6.1.4. Brazil market estimates and forecasts 2018 to 2030 (USD Million)
7.6.2. Argentina
7.6.2.1. Key country dynamics
7.6.2.2. Regulatory framework/ reimbursement structure
7.6.2.3. Competitive scenario
7.6.2.4. Argentina market estimates and forecasts 2018 to 2030 (USD Million)
7.7. MEA
7.7.1. South Africa
7.7.1.1. Key country dynamics
7.7.1.2. Regulatory framework/ reimbursement structure
7.7.1.3. Competitive scenario
7.7.1.4. South Africa market estimates and forecasts 2018 to 2030 (USD Million)
7.7.2. Saudi Arabia
7.7.2.1. Key country dynamics
7.7.2.2. Regulatory framework/ reimbursement structure
7.7.2.3. Competitive scenario
7.7.2.4. Saudi Arabia market estimates and forecasts 2018 to 2030 (USD Million)
7.7.3. UAE
7.7.3.1. Key country dynamics
7.7.3.2. Regulatory framework/ reimbursement structure
7.7.3.3. Competitive scenario
7.7.3.4. UAE market estimates and forecasts 2018 to 2030 (USD Million)
7.7.4. Kuwait
7.7.4.1. Key country dynamics
7.7.4.2. Regulatory framework/ reimbursement structure
7.7.4.3. Competitive scenario
7.7.4.4. Kuwait market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 8. Competitive Landscape
8.1. Company/Competition Categorization
8.2. Vendor Landscape
8.2.1. List of key distributors and channel partners
8.2.2. Key company market share analysis, 2023
8.2.3. Conduent Inc.
8.2.3.1. Company overview
8.2.3.2. Financial performance
8.2.3.3. Product benchmarking
8.2.3.4. Strategic initiatives
8.2.4. HBI Solutions
8.2.4.1. Company overview
8.2.4.2. Financial performance
8.2.4.3. Product benchmarking
8.2.4.4. Strategic initiatives
8.2.5. 3M
8.2.5.1. Company overview
8.2.5.2. Financial performance
8.2.5.3. Product benchmarking
8.2.5.4. Strategic initiatives
8.2.6. Cerner (Oracle)
8.2.6.1. Company overview
8.2.6.2. Financial performance
8.2.6.3. Product benchmarking
8.2.6.4. Strategic initiatives
8.2.7. Optum Inc.
8.2.7.1. Company overview
8.2.7.2. Financial performance
8.2.7.3. Product benchmarking
8.2.7.4. Strategic initiatives
8.2.8. Reveleer
8.2.8.1. Company overview
8.2.8.2. Financial performance
8.2.8.3. Product benchmarking
8.2.8.4. Strategic initiatives
8.2.9. Nuance Communications, Inc.
8.2.9.1. Company overview
8.2.9.2. Financial performance
8.2.9.3. Product benchmarking
8.2.9.4. Strategic initiatives
8.2.10. Lightbeam
8.2.10.1. Company overview
8.2.10.2. Financial performance
8.2.10.3. Product benchmarking
8.2.10.4. Strategic initiatives
8.2.11. Health Catalyst
8.2.11.1. Company overview
8.2.11.2. Financial performance
8.2.11.3. Product benchmarking
8.2.11.4. Strategic initiatives

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