Clinical Decision Support System Market by Mode of Advice (Active CDSS, Passive CDSS), System (Knowledge-based CDSS, Nonknowledge-based CDSS), Delivery Mode, End User, Application - Global Forecast 2024-2030

Clinical Decision Support System Market by Mode of Advice (Active CDSS, Passive CDSS), System (Knowledge-based CDSS, Nonknowledge-based CDSS), Delivery Mode, End User, Application - Global Forecast 2024-2030


The Clinical Decision Support System Market size was estimated at USD 1.84 billion in 2023 and expected to reach USD 2.06 billion in 2024, at a CAGR 12.56% to reach USD 4.22 billion by 2030.

A clinical decision support system (CDSS) works as an administrative and clinical tool that improves the operational efficiency of healthcare practices. The ongoing efforts in implementation of government regulations and initiatives increased the adoption of healthcare information technology (HCIT) solutions, significantly driving market growth. Moreover, the growing demand for intelligent software solutions to efficiently manage a rapidly increasing patient pool across the globe is boosting the growth of the global clinical decision support systems market. However, certain factors, such as the unwillingness of healthcare providers in installation and operation of clinical decision support systems, are challenging the market growth. In addition, higher costs of software installations and post-sale supports, along with a shortage of a trained and skilled workforce, are expected to limit market growth in forecast period. Nevertheless, the marketplace is anticipated to witness various innovations following R&D projects backed by significant corporate investments. Integrating cloud computing and interoperability platforms in different systems is expected to promote smooth functioning and seamless data flow further, thereby revving up the adoption of CDSS.

Regional Insights

The ongoing surge in demand for healthcare information technology solutions are responsible for market growth across North America, Europe, and the Asia-Pacific regions. The rapid technological advancements and the growing importance of providing quality healthcare services in the U.S. and Canada are making North America dominate the market, with a significant market share. Moreover, the launch of new technologies by the key vendors operating in the U.S. and Canada to integrate existing data handling systems such as electronic health records (EHR) and clinical decision systems offers predictive scenarios for patients, which is responsible for better patient experience and treatment. Moreover, Asia-Pacific is anticipated to be the fastest-growing region in the global CDSS market, attributed to increasing investments in the healthcare sector in Australia, China, India, and Japan. The governments in the APAC region are investing significantly in R&D, increasing the penetration of information technology in the medical field. Furthermore, enhanced collaboration between information technology companies and healthcare institutions is expected to boost the growth of global clinical decision support systems in the Asia-Pacific.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Clinical Decision Support System Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers

Need for improvement in the quality of care and reducing human errors in diagnostics and healthcare expenditure
Prominence of big data and mHealth solutions worldwide
Increasing adoption of cloud computing in healthcare sector

Market Restraints

Concerns associated with the privacy and security of data

Market Opportunities

Collaboration between research institutes and clinical decision support providers
Technological development in the healthcare solutions

Market Challenges

Complicated integration of CDSS within healthcare organizations

Market Segmentation Analysis

System: Significance of knowledge-based clinical decision systems
Delivery Mode: Importance of proper delivery mode for implementation of optimum clinical decision support systems
End User: Significance of clinical decision support systems across end user industries
Application: Emerging utilization of CDSS in wide scope of applications

Market Disruption Analysis

Porter’s Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Clinical Decision Support System Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Clinical Decision Support System Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

GE HealthCare Launches CardioVisio for Atrial Fibrillation, a Digital, Patient-Centric Clinical Decision Support Tool to Enable Precision Care

GE HealthCare has launched CardioVisio for Atrial Fibrillation (AFib), a clinical decision support system that aids healthcare professionals in making informed decisions regarding AFib treatment. Cardiovascular diseases remain the leading cause of global mortality, with AFib being the most prevalent arrhythmia affecting millions of individuals worldwide. This innovative digital tool leverages advanced algorithms to analyze relevant patient data and align it with industry-published guidelines, enabling healthcare providers to deliver personalized and evidence-based care.

AI Partnership to Reduce Hospital Nurses’ Documentation Burden

BayCare Health System and healthPrecision have joined forces to co-develop the Medical Brain platform, a clinical decision support system that harnesses the power of AI technology. This innovative platform aims to alleviate the documentation burden for nurses, enhance patient care, and optimize workflow efficiency. By leveraging AI technology, the Medical Brain platform offers advanced clinical decision support capabilities, enabling healthcare professionals to make informed and timely decisions.

Medtronic and NVIDIA Collaborate to Build AI Platform for Medical Devices

Medical technology company Medtronic PLC announced its partnership with graphics processor maker NVIDIA Corporation to create a clinical decision support system. This system is aimed to be powered by artificial intelligence and deep learning, allowing it to provide intelligent guidance for users handling medical devices such as pacemakers or insulin pumps. As part of the partnership, NVIDIA Corporation looks to leverage Medtronic's clinical experience while Medtronic could tap into NVIDIA's extensive A.I. capabilities to build a cost-effective, efficient platform that increases safety levels both in hospitals and homes.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Clinical Decision Support System Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Clinical Decision Support System Market, highlighting leading vendors and their innovative profiles. These include Advanced Computer Software Group Limited, Cedar Gate Technologies, Cerner Corporation, CureMD.com, Inc., EBSCO Information Services, eClinicalWorks, LLC, Epic Systems Corporation, EvidenceCare, LLC, GE Healthcare, Hearst Corporation, Henisaja GmbH, Hera-MI, SAS, Koninklijke Philips N.V., Mocero Health Solutions Private Limited, Optum, Inc., Pinc AI by Premier Inc., Premier, Inc., Raapid.ai, Siemens Healthineers AG, Strata Decision Technology by Roper Industries, Inc., The International Business Machines Corporation, The Medical Algorithms Company Limited, VisualDX, and Wolters Kluwer N.V..

Market Segmentation & Coverage

This research report categorizes the Clinical Decision Support System Market to forecast the revenues and analyze trends in each of the following sub-markets:

Mode of Advice
Active CDSS
Passive CDSS
System
Knowledge-based CDSS
Nonknowledge-based CDSS
Delivery Mode
Cloud-Based
On-premise
End User
Clinics
Diagnostic Centers
Hospitals
Retail Pharmacy
Application
Care Plans
Diagnostic Decision Support
Disease Reference
Drug Databases
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom

Please Note: PDF & Excel + Online Access - 1 Year


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. Need for improvement in the quality of care and reducing human errors in diagnostics and healthcare expenditure
5.1.1.2. Prominence of big data and mHealth solutions worldwide
5.1.1.3. Increasing adoption of cloud computing in healthcare sector
5.1.2. Restraints
5.1.2.1. Concerns associated with the privacy and security of data
5.1.3. Opportunities
5.1.3.1. Collaboration between research institutes and clinical decision support providers
5.1.3.2. Technological development in the healthcare solutions
5.1.4. Challenges
5.1.4.1. Complicated integration of CDSS within healthcare organizations
5.2. Market Segmentation Analysis
5.2.1. System: Significance of knowledge-based clinical decision systems
5.2.2. Delivery Mode: Importance of proper delivery mode for implementation of optimum clinical decision support systems
5.2.3. End User: Significance of clinical decision support systems across end user industries
5.2.4. Application: Emerging utilization of CDSS in wide scope of applications
5.3. Market Disruption Analysis
5.4. Porter’s Five Forces Analysis
5.4.1. Threat of New Entrants
5.4.2. Threat of Substitutes
5.4.3. Bargaining Power of Customers
5.4.4. Bargaining Power of Suppliers
5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis
6. Clinical Decision Support System Market, by Mode of Advice
6.1. Introduction
6.2. Active CDSS
6.3. Passive CDSS
7. Clinical Decision Support System Market, by System
7.1. Introduction
7.2. Knowledge-based CDSS
7.3. Nonknowledge-based CDSS
8. Clinical Decision Support System Market, by Delivery Mode
8.1. Introduction
8.2. Cloud-Based
8.3. On-premise
9. Clinical Decision Support System Market, by End User
9.1. Introduction
9.2. Clinics
9.3. Diagnostic Centers
9.4. Hospitals
9.5. Retail Pharmacy
10. Clinical Decision Support System Market, by Application
10.1. Introduction
10.2. Care Plans
10.3. Diagnostic Decision Support
10.4. Disease Reference
10.5. Drug Databases
11. Americas Clinical Decision Support System Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Clinical Decision Support System 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 Clinical Decision Support System 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. GE HealthCare Launches CardioVisio for Atrial Fibrillation, a Digital, Patient-Centric Clinical Decision Support Tool to Enable Precision Care
14.3.2. AI Partnership to Reduce Hospital Nurses’ Documentation Burden
14.3.3. Medtronic and NVIDIA Collaborate to Build AI Platform for Medical Devices
14.4. Strategy Analysis & Recommendation
15. Competitive Portfolio
15.1. Key Company Profiles
15.2. Key Product Portfolio

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