Market Analysis and Insights:
By 2031, the market for clinical risk grouping solutions was valued at USD 0.5 billion in 2021 and is expected to have grown to USD 1.8 billion, with a CAGR of 14.9% from 2022 to 2031.
.jpg "The Global Clinical Risk Grouping Solutions Market 2021-2031 (USD Billion)")
Expanding the executive risk center around patients and the execution of massive information in the medical care sector to modify clinical outcomes are essentially driving market development.
Clinical Risk Grouping Solutions Market Scope:
| Metrics | Details |
| Base Year | 2023 |
| Historic Data | 2018-2022 |
| Forecast Period | 2024-2031 |
| Study Period | 2018-2031 |
| Forecast Unit | Value (USD) |
| Revenue forecast in 2031 | USD 1.8 billion |
| Growth Rate | CAGR of 14.9% during 2022-2031 |
| Segment Covered | by Type,By Application, by Region . |
| Regions Covered | North America, Europe, Asia Pacific, South America, Middle East and Africa |
| Key Players Profiled | 3M, Light Beam Health Solution, Nuance Communications, Dynamic Healthcare System, Johns Hopkins University, 4S Information System, Cerner Corporation, Health Catalyst, HBI Solutions, Per Health, and Evolent Health. |
Market Definition
Clinical Risk Grouping Solutions (CRGS) are a kind of population health management service. categorization system that assigns each person to a single, severity-adjusted group based on inpatient and ambulatory diagnostic and treatment codes, pharmacological data, and functional health status.
Delivering healthcare more effectively and efficiently may be accomplished with the help of CRGS. But it's critical to understand their limits and combine them with other sources of information.
Key Market Segmentation:
Insights on Type:
The Public Cloud is growing at the fastest growth rate
During the forecast period, the public cloud segment is predicted to expand the quickest, followed by the private cloud sector and the hybrid cloud segment.
The clinical risk grouping solutions market's public cloud segment is anticipated to grow at the fastest rate during the forecast period. This is owing to healthcare organizations’ increased use of cloud-based technologies. Cloud-based solutions provide many advantages over traditional systems, including agility, adaptability, and the effectiveness of costs.
The virtual private cloud sector is predicted to develop at a slower pace than the public cloud segment throughout the projection period. This is due to the higher setup and maintenance costs associated with private clouds compared to public clouds. Private clouds, on the other hand, provide a greater degree of protection and control, which is vital for certain healthcare organizations.
Insights on Application:
The Healthcare Segment is boosting
During the projected period, the clinical risk grouping solutions market is predicted to increase considerably. The rising acceptance of these solutions by healthcare organizations and other stakeholders is driving the development of this market.
The healthcare service providers sector of the clinical risk grouping solutions market is expected to grow at the fastest rate during the projected period. This is because hospitals, clinics, and other healthcare organizations are increasingly using these solutions to enhance the efficiency and effectiveness of their operations.
Insights on Region Analysis:
The Asia-Pacific Ample Financing Opportunities
Over the course of the forecast period, the clinical risk grouping solutions market is anticipated to develop at the quickest rate in the Asia-Pacific region. This is attributable to a variety of causes, including an increase in the incidence of chronic illnesses, increased government attempts to encourage value-based care, and increased awareness of the advantages of clinical risk grouping solutions.
Chronic disease prevalence is increasing: The Asia-Pacific area has a vast and expanding population, and chronic illness prevalence is likewise high. This is due to a variety of issues, including an aging population, poor lifestyles, and pollution in the environment. Chronic illnesses account for a significant portion of healthcare expenditures, and clinical risk grouping solutions may assist in identifying individuals who are at high risk for these diseases.
Government activities to promote value-based care are increasing:
Governments in the Asia-Pacific region are actively pushing value-based care, which is a healthcare delivery system that pays providers for delivering high-quality treatment at a reduced cost. Clinical risk grouping solutions may assist clinicians in identifying individuals at high risk for high-cost care and targeting these patients with treatments that can help lower their risk.
Company Profiles:
The Clinical Risk Grouping Solutions market is dominated by 3M, Light Beam Health Solution, Nuance Communications, Dynamic Healthcare System, Johns Hopkins University, 4S Information System, Cerner Corporation, Health Catalyst, HBI Solutions, Per Health, and Evolent Health.
COVID-19 Impact and Market Status
Increase in demand of the market
The COVID-19 pandemic has had a major effect on the clinical risk grouping solutions market. The pandemic has increased demand for these solutions as healthcare organizations seek to better identify their patients' risk and focus care management measures appropriately.
COVID-19 has had the following effects on the clinical risk grouping solutions market:
• Increased demand: As healthcare organizations attempted to better identify the risks of their patients and focus care management treatments appropriately, the pandemic has increased demand for clinical risk grouping solutions.
• emphasis shift: The pandemic has altered the emphasis of clinical risk grouping solutions away from forecasting future healthcare use and towards predicting the risk of COVID-19 infection and sequelae.
• Adoption of new technologies: The epidemic has also prompted the use of new technology in clinical risk assessment solutions, including artificial intelligence and machine learning. These technologies may assist in increasing risk prediction accuracy and identifying patients who are at risk for COVID-19.
• cooperation has expanded as a result of the epidemic, as has cooperation between healthcare organizations and technology suppliers. This partnership has aided in the rapid development and implementation of clinical risk grouping solutions.
In general, the COVID-19 pandemic has had a considerable influence on the market for clinical risk grouping solutions. The epidemic has boosted demand for these solutions, shifted emphasis, resulted in the adoption of new technology, and improved cooperation. These trends are predicted to persist in the future years as healthcare organizations react to the pandemic's problems.
Latest Trends and Innovation:
• 3M Corporation: In 2021, 3M Corporation announced 3M Clinical Risk Groups (CRGs), a new clinical risk grouping system. This system assigns patients to risk categories based on a range of data sources, including claims data, demographic data, and clinical data.
• Optum, Inc. announced a new cooperation with Google Cloud in 2022 to build a new clinical risk categorization solution. This solution will increase the accuracy of risk forecasts by using Google Cloud's artificial intelligence (AI) and machine learning capabilities.
• Cerner Corporation: In 2023, Cerner Corporation announced a new version of Cerner Risk Adjustment Engine (RAE), their clinical risk grouping solution. This updated version provides many new capabilities, including the ability to adjust for risk depending on patient location and to monitor patient risk over time.
• Nuance Communications bought Health Catalyst, a supplier of clinical risk grouping solutions, in 2024. This purchase will assist Nuance in expanding its clinical risk grouping solutions.
• Health Catalyst: Health Catalyst is a clinical risk grouping solution provider that combines AI and machine learning to increase risk prediction accuracy. Health Catalyst announced a new collaboration with the Mayo Clinic in 2025 to create a new clinical risk categorization solution for the Mayo Clinic.
Significant Growth Factors:
Value-based care is a healthcare delivery system that compensates providers for delivering high-quality treatment at a reduced cost. Clinical risk grouping solutions may assist clinicians in identifying individuals at high risk for high-cost care and targeting these patients with treatments that can help lower their risk.
• Increasing demand for value-based care: Value-based care is a healthcare delivery system that compensates providers for delivering high-quality treatment at a reduced cost. Clinical risk grouping solutions may assist clinicians in identifying individuals at high risk for high-cost care and targeting these patients with treatments that can help lower their risk.
• Chronic illnesses are becoming more common, and clinical risk grouping solutions may assist in identifying patients who are at high risk of developing these diseases.
• Adoption of big data and artificial intelligence (AI) in healthcare is increasing: Big data and AI are increasingly being utilized in healthcare to enhance treatment quality and cut costs. Big data and artificial intelligence (AI) may assist in increasing the accuracy of risk forecasts in clinical risk grouping systems.
• Growing awareness of the benefits of clinical risk grouping solutions: Healthcare providers and payers are becoming more aware of the advantages of clinical risk grouping solutions.
The rising acceptance of these solutions by healthcare organizations and other stakeholders is driving the development of this market.
Restraining Factors:
Data availability is a problem for clinical risk grouping methods. The healthcare system is complicated, and it creates a large amount of data, but not all of it is accessible or useable. This may make making accurate risk forecasts challenging.
• Data accessibility: Data accessibility is a difficulty for clinical risk grouping solutions. The healthcare system is complicated, and it creates a large amount of data, but not all of it is accessible or useable. This may make making accurate risk forecasts challenging.
• Accuracy of risk predictions: Another problem for clinical risk grouping methods is the accuracy of risk predictions. The healthcare system is continuously evolving, and keeping up with the newest developments may be tough. This may result in erroneous risk estimations, reducing the efficacy of care delivery.
• Cost: For some healthcare organizations, the cost of clinical risk grouping solutions is too expensive. These solutions may be costly, and some businesses may be unable to afford them.
• Clinical risk grouping solutions must adhere to several requirements, including those about privacy and security. This may be difficult for healthcare organizations since they must guarantee compliance with all relevant rules.
Key Segments Mobile Payments Market Insights Insights
by Type
• Remote
• Proximity
By Application
• Hospitality & Tourism
• IT & Telecom
Regional Overview
North America
• U.S
• Canada
Europe
• Germany
• France
• UK
• Rest of Europe
Asia Pacific
• China
• India
• Japan
• Rest of Asia Pacific
South America
• Mexico
• Brazil
• Rest of South America
Frequently Asked Questions (FAQ) :
The market value of clinical risk grouping solutions market in 2031 was USD 1.8 billion.
The clinical risk grouping solutions market is growing at a CAGR of 14.9% over the forecast period.
North America dominated the market for clinical risk grouping solutions and accounted for the largest revenue share.
The base year for the report is 2023 in clinical risk grouping solutions market.
The top companies that hold the market share in clinical risk grouping solutions market are 3M, Light Beam Health Solution, Nuance Communications, Dynamic Healthcare System, Johns Hopkins University, 4S Information System, Cerner Corporation, Health Catalyst, HBI Solutions, Per Health, and Evolent Health.