Clinical Decision Support Market By Type (Knowledge-based CDSS and Non-knowledge CDSS), By Mode of Delivery (Cloud-based and On-premise), By Product (Integrated CDSS and Standalone CDSS), By Application (Medical Diagnosis, Alerts and Reminders, Prescription Decision Support, Information Retrieval, and Other), Global Analysis to 2023
Published on: 2024-06-12 | No of Pages : 260 | Industry : Healthcare
Publisher : MIR | Format : PDF & Excel
Clinical Decision Support Market By Type (Knowledge-based CDSS and Non-knowledge CDSS), By Mode of Delivery (Cloud-based and On-premise), By Product (Integrated CDSS and Standalone CDSS), By Application (Medical Diagnosis, Alerts and Reminders, Prescription Decision Support, Information Retrieval, and Other), Global Analysis to 2023
Clinical Decision Support Systems (CDSS) Market Valuation – 2024-2031
According to the new report titled " Clinical Decision Support Market By Type (Knowledge-based CDSS and Non-knowledge CDSS), By Mode of Delivery (Cloud-based and On-premise), By Product (Integrated CDSS and Standalone CDSS), By Application (Medical Diagnosis, Alerts and Reminders, Prescription Decision Support, Information Retrieval, and Other), Global Analysis to 2023"
The valuation of the Clinical Decision Support market was $1.68 Billion in 2023 and is projected to reach $2.73 Billion by 2032, at a CAGR of 7.68% from 2021 to 2032.
The Clinical Decision Support Market was valued at $1.68 Billion by 2023 and expected to grow at CAGR of 7.68% over forecast period. Clinical Decision Support (CDS) refers to a variety of tools and processes that aid healthcare professionals in making clinical decisions. These tools are typically integrated into electronic health record (EHR) systems or standalone software applications, providing timely and relevant information to clinicians at the point of care. The primary goal of clinical decision support is to improve patient care by ensuring that clinicians have access to the most current evidence-based guidelines, best practices, and patient-specific information when making diagnostic and treatment decisions. Healthcare delivery is becoming increasingly complex, with a vast amount of medical knowledge and information available. Clinicians often face challenges in staying up-to-date with the latest evidence-based practices and guidelines. CDS systems help bridge this gap by providing timely access to relevant information at the point of care. Healthcare organizations are under pressure to improve patient safety and outcomes while reducing medical errors. CDS tools can help by providing alerts for potential medication errors, reminders for preventive care measures, and guidance on evidence-based treatment protocols. Technological advancements, particularly in artificial intelligence (AI), machine learning, and natural language processing, have enabled the development of more sophisticated CDS tools. These tools can analyze large datasets, detect patterns, and provide personalized recommendations tailored to individual patients.
Knowledge-based CDSS held the largest share in the Clinical Decision Support market
By Type (Knowledge-based CDSS and Non-knowledge CDSS) where Knowledge-based CDSS plays a crucial role in the Clinical Decision Support market. Knowledge-based Clinical Decision Support Systems (CDSS) are a type of CDSS that rely on a repository of medical knowledge, rules, and algorithms to provide decision support to healthcare providers. Healthcare providers face increasingly complex decision-making processes due to the rapid expansion of medical knowledge and the growing array of treatment options. Knowledge-based CDSS helps clinicians navigate this complexity by providing access to evidence-based guidelines, best practices, and expert knowledge at the point of care. Improving patient safety and outcomes is a top priority for healthcare organizations. Knowledge-based CDSS can help reduce medical errors, prevent adverse events, and enhance the quality of care by providing alerts for potential drug interactions, reminders for preventive care, and adherence to clinical guidelines. Technological advancements, particularly in artificial intelligence (AI), machine learning, and natural language processing, have enabled the development of more sophisticated knowledge-based CDSS. These systems can analyze large datasets, detect patterns, and provide personalized recommendations tailored to individual patient characteristics. There is a growing emphasis on patient-centered care, which involves engaging patients in shared decision-making and tailoring treatment plans to their preferences and needs. Knowledge-based CDSS can facilitate this by providing decision support tools and educational materials that empower patients to participate actively in their healthcare decisions.
North America headed the Clinical Decision Support market in 2023
In the United States and Canada, regulatory bodies such as the Centers for Medicare & Medicaid Services (CMS), the Food and Drug Administration (FDA), and Health Canada play a significant role in shaping healthcare policies and regulations. Meaningful Use (now known as Promoting Interoperability) requirements in the U.S., for instance, have incentivized healthcare organizations to adopt and implement CDS systems. The shift towards value-based care models, which prioritize quality of care and patient outcomes over volume of services provided, has spurred the adoption of CDS systems. These systems help healthcare providers deliver more efficient, evidence-based care and align with payment models that incentivize positive patient outcomes and cost containment. North America boasts advanced healthcare IT infrastructure, with widespread adoption of electronic health records (EHRs) and interoperability standards. This infrastructure provides a solid foundation for integrating CDS systems into clinical workflows, enabling seamless access to patient data and decision support tools. North America faces significant challenges related to the rising prevalence of chronic diseases such as diabetes, cardiovascular disease, and cancer. CDS systems can help manage these complex conditions by providing personalized treatment recommendations, monitoring patient progress, and facilitating care coordination among multidisciplinary healthcare teams.
Key market players operating in the market that are profiled in the report are
Wolters Kluwer N.V. (Netherlands), Oracle (US), Merative (US), Change Healthcare (US), Veradigm Inc. (US), athenahealth (US), Epic Systems Corporation (US), Elsevier B.V. (Netherlands), Zynx Health (US) etc.
Report Scope
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| STUDY PERIOD |
2021-2031 |
| GROWTH RATE |
CAGR of ~11.90% from 2024 to 2031 |
| BASE YEAR FOR VALUATION |
2024 |
| HISTORICAL PERIOD |
2021-2023 |
| FORECAST PERIOD |
2024-2031 |
| QUANTITATIVE UNITS |
Value in USD Billion |
| REPORT COVERAGE |
Historical and Forecast Revenue Forecast, Historical and Forecast Volume, Growth Factors, Trends, Competitive Landscape, Key Players, Segmentation Analysis |
| SEGMENTS COVERED |
|
| REGIONS COVERED |
|
| KEY PLAYERS |
Cerner Corporation, McKesson Corporation, Epic Systems Corporation, IBM Watson Health, Allscripts Healthcare Solutions, Inc., MEDITECH, Wolters Kluwer Health, Zynx Health, a subsidiary of Hearst Corporation, Siemens Healthineers, Elsevier B.V., Oracle (Cerner Corporation), NextGen Healthcare Inc., Koninklijke Philips N.V, Agfa-Gevaert Group |
| CUSTOMIZATION |
Report customization along with purchase available upon request |
KEYPLAYER
- Cerner Corporation
- McKesson Corporation
- Epic Systems Corporation
- IBM Watson Health
- Allscripts Healthcare Solutions, Inc.
- MEDITECH
- Wolters Kluwer Health
- Zynx Health, a subsidiary of Hearst Corporation
- Siemens Healthineers
- Elsevier B.V.
- Oracle (Cerner Corporation)
- NextGen Healthcare Inc.
- Koninklijke Philips N.V
- Agfa-Gevaert Group
Decision Support Systems (CDSS) Market, By Category
Component
- Service
- Hardware
- Software
Delivery Mode
- Web Based
- Standalone
- Integrated
Application
- Medical Diagnosis
- Alerts and Reminders
- Prescription Decision Support
- Information Retrieval
Region
- North America
- Europe
- Asia-Pacific
- South America
- Middle East & Africa
Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post-sales analyst support
Table of Content
1. Introduction
• Market Definition
• Market Segmentation
• Research Methodology
2. Executive Summary
• Key Findings
• Market Overview
• Market Highlights
3. Market Overview
• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis
4. Clinical Decision Support System (CDSS) Market, By Components
- Hardware
- Software
- Services
5. Clinical Decision Support System (CDSS) Market, By Delivery Mode
- Web-based CDSS
- Standalone CDSS
- Integrated CDSS
6. Clinical Decision Support System (CDSS) Market, By Application
- Order Entry
- Diagnosis
- Medication Management
- Clinical Guidelines
- Quality Improvement
7. Regional Analysis
• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE
8. Market Dynamics
• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market
9. Competitive Landscape
• Key Players
• Market Share Analysis
10. Company Profiles
- Cerner Corporation
- McKesson Corporation
- Epic Systems Corporation
- IBM Watson Health
- Allscripts Healthcare Solutions,Inc.
- MEDITECH
- Wolters Kluwer Health
- Zynx Health,a subsidiary of Hearst Corporation
- Siemens Healthineers
- Elsevier B.V.
11. Market Outlook and Opportunities
• Emerging Technologies
• Future Market Trends
• Investment Opportunities
12. Appendix
• List of Abbreviations
• Sources and References
KEYPLAYER
- Cerner Corporation
- McKesson Corporation
- Epic Systems Corporation
- IBM Watson Health
- Allscripts Healthcare Solutions, Inc.
- MEDITECH
- Wolters Kluwer Health
- Zynx Health, a subsidiary of Hearst Corporation
- Siemens Healthineers
- Elsevier B.V.
- Oracle (Cerner Corporation)
- NextGen Healthcare Inc.
- Koninklijke Philips N.V
- Agfa-Gevaert Group