Clinical Decision Support System Market Share Analysis Report, 2022-2030
According to Nova one advisor, the global Clinical Decision Support System market was valued at USD 2.2 billion in 2022 and it is expected to hit around USD 4.3 billion by 2030 with a CAGR of 9.8% during the forecast period 2022 to 2030.
Clinical decision support system is an administrative as well as clinical tool that helps in improving operational efficiency of healthcare practices. Hospitals and clinics are required to handle large volume of patient information both administrative as well as clinical information. In order to handle the large volume of data, medical professionals and front office staff are always in search of an effective way to record, store, and improve access to patient information in an efficient manner. A clinical decision support system aids medical professionals and patients to streamline the workflows of medical practices and improve overall operational efficiency as well as patient care.
Physician recommendation for updating systems with alert systems and new technological innovation by different key players are likely to accelerate the growth of the global clinical decision support system market. Technological advancements such as software integration with other electronic health records are projected to fuel the growth of the global clinical decision support system market.
Report Scope of the Clinical Decision Support System Market
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Report Coverage |
Details |
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Market Size |
USD 4.3 Billion by 2030 |
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Growth Rate |
CAGR of 9.8% from 2022 to 2030 |
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Largest Market |
North America |
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Fastest Growing Market |
Asia Pacific |
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Base Year |
2021 |
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Forecast Period |
2022 to 2030 |
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Segments Covered |
Usage Based, Mode of Advice, Delivery Model, Application, End-user, and Region, |
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Companies Mentioned |
Allscripts Healthcare Solutions, Inc., First Databank, Inc., Truven Health Analytics, Cerner, Philips Healthcare, Siemens Healthcare, Optum, Inc. (UnitedHealth Group), GE Healthcare, and Epic Systems Corporation, Inc. |
echnological Advancements in CDSS to Drive Global Market
Rise in technological advancements in CDSS, high awareness among patients, and increase in investments in healthcare IT solutions accelerate the growth of the global clinical decision support system market. A surge in group medical practices has been observed in the U.S., which is expected to fuel the growth of the cloud based clinical decision support system in the country during the forecast period.
Technological advancements in CDSS are expected to propel the clinical decision support system market in Asia Pacific, Latin America, and Middle East & Africa during the forecast period.
Knowledge-based Systems Segment to Dominate Global Clinical Decision Support System Market
The global clinical decision support system market has been segmented based on usage based, application, mode of advice, delivery model, end-user, and region. In terms of usage based, the global clinical decision support system market has been classified into knowledge-based systems, expert laboratory information systems, and machine learning systems.
knowledge-based systems segment dominates the global market. The large share and high growth of this segment can be attributed to several beneficial functionalities of knowledge-based CDSS, such as helping clinicians with knowledge-based reasoning to make clinical decisions in the face of uncertainties. In 2020, the knowledge-based CDSS segment accounted for the largest share of 62% of the market. This segment is also estimated to register the highest CAGR of 9.2% during the forecast period.
There has been an increase in support in the development of innovative clinical decision support systems; for instance, Boston Children’s Hospital launched a clinical decision support innovation Challenge in which the winner receives rewards in the form of direct costs (around US$ 50,000), strategic project management support. and R&D software development support. Moreover, rise in collaboration of hospitals and clinics with healthcare IT firms and increasing incorporation of machine learning algorithms & AI methods will further support the CDSS Market.
Cloud-based Clinical Decision Support System Aids in Easy Recording, Accessibility; Offers Other Benefits
Traditionally, on-premises and web-based clinical decision support systems were most commonly used in dental practices. On-premises software is associated with purchase of expensive servers and other hardware for data storage and backups. The software is priced on perpetual license model and is highly priced. Cloud-based clinical decision support system enables a user to host clinical applications, allows health information exchange, and data backup & recovery features. These cloud-based clinical decision support systems address specific challenges faced by the multi-location physician group practices as well as for solo practitioners. The cloud-based clinical decision support system facilitates easy recording, storage, and accessibility, and integration and retrieval of both clinical as well as non-clinical data from any point of location with an Internet connection.
Regional Outlook of Global Clinical Decision Support System Market
In terms of region, the global clinical decision support system market has been segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America is projected to dominate the global market during the forecast period, accounting for 40% share by 2030. The segment is anticipated to reach US$ 892.70 Mn by 2030.
The U.S. dominated the market in North America due to factors such as technologically advanced research & treatment platforms for diagnosis of chronic diseases, availability of a large number of reimbursement policies, well-established healthcare infrastructure, and increase in development of IT healthcare organizations. Rise in government initiatives and laws regarding usage of devices, and increase in population to drive the clinical decision support system market in the region.
Asia Pacific is projected to be the most attractive market for clinical decision support systems during the forecast period. The market in the region is anticipated to grow at a high CAGR of 11% during the forecast period due to rise in focus of market players on expanding their presence in the region to leverage the growth opportunities.
Improvement in healthcare infrastructure and commercialization of electronic health record (HER) in hospitals & clinics, high digital healthcare IT budgets provided by society as funds for IT development, and government initiatives to promote digital healthcare facilities contributed to the leading share of these regions.
Some of the prominent players in the Clinical Decision Support System Market include:
Allscripts Healthcare Solutions, Inc., First Databank, Inc., Truven Health Analytics, Cerner, Philips Healthcare, Siemens Healthcare, Optum, Inc. (UnitedHealth Group), GE Healthcare, and Epic Systems Corporation, Inc.
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Nova one advisor, Inc. has segmented the global Clinical Decision Support System market
By Geography
Key Benefits for Stakeholders
Chapter 1. Introduction
1.1. Market Definition and Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions and Research Methodology
3. Executive Summary: Global Clinical Decision Support System Market
4. Market Overview
4.1. Introduction
4.1.1. Usage Based Definition
4.1.2. Industry Evolution / Developments
4.2. Overview
4.3. Market Dynamics
4.3.1. Drivers
4.3.2. Restraints
4.3.3. Opportunities
4.4. Global Clinical Decision Support System Market Analysis and Forecast, 2017–2030
4.4.1. Market Revenue Projections (US$ Mn)
5. Key Insights
5.1. Technological Advancements
5.2. Key Industry Events (mergers, acquisitions, partnerships, etc.)
5.3. COVID-19 Pandemic Impact on Industry (value chain and short / mid / long term impact)
6. Global Clinical Decision Support System Market Analysis and Forecast. by Usage Based
6.1. Introduction & Definition
6.2. Key Findings / Developments
6.3. Market Value Forecast, by Usage Based, 2017–2030
6.3.1. Knowledge-based Systems
6.3.2. Expert Laboratory Information Systems
6.3.3. Machine Learning Systems
6.4. Market Attractiveness Analysis, by Usage Based
7. Global Clinical Decision Support System Market Analysis and Forecast. by Mode of Advice
7.1. Introduction & Definition
7.2. Key Findings / Developments
7.3. Market Value Forecast, by Mode of Advice, 2017–2030
7.3.1. Passive CDSS
7.3.2. Active CDSS
7.4. Market Attractiveness Analysis, by Mode of Advice
8. Global Clinical Decision Support System Market Analysis and Forecast. by Delivery Model
8.1. Introduction & Definition
8.2. Key Findings / Developments
8.3. Market Value Forecast, by Delivery Model, 2017–2030
8.3.1. On-premises
8.3.2. Web-based
8.3.3. Cloud-based
8.4. Market Attractiveness Analysis, by Delivery Model
9. Global Clinical Decision Support System Market Analysis and Forecast. by Application
9.1. Introduction & Definition
9.2. Key Findings / Developments
9.3. Market Value Forecast, by Application, 2017–2030
9.3.1. Drug Databases
9.3.2. Care Plans
9.3.3. Diagnostic Decision Support
9.3.4. Disease Reference
9.3.5. Others
9.4. Market Attractiveness Analysis, by Application
10. Global Clinical Decision Support System Market Analysis and Forecast. by End-user
10.1. Introduction & Definition
10.2. Key Findings / Developments
10.3. Market Value Forecast, by End-user, 2017–2030
10.3.1. Hospitals
10.3.2. Diagnostic Centers
10.3.3. Clinics
10.3.4. Others
10.4. Market Attractiveness Analysis, by End-user
11. Global Clinical Decision Support System Market Analysis and Forecast. by Region
11.1. Key Findings
11.2. Market Value Forecast, by Region
11.2.1. North America
11.2.2. Europe
11.2.3. Asia Pacific
11.2.4. Latin America
11.2.5. Middle East & Africa
11.3. Market Attractiveness Analysis, by Region
12. North America Clinical Decision Support System Market Analysis and Forecast
12.1. Introduction
12.1.1. Key Findings
12.2. Market Value Forecast, by Usage Based, 2017–2030
12.2.1. Knowledge-based Systems
12.2.2. Expert Laboratory Information Systems
12.2.3. Machine Learning Systems
12.3. Market Value Forecast, by Mode of Advice, 2017–2030
12.3.1. Passive CDSS
12.3.2. Active CDSS
12.4. Market Value Forecast, by Delivery Model, 2017–2030
12.4.1. On-premises
12.4.2. Web-based
12.4.3. Cloud-based
12.5. Market Value Forecast, by Application, 2017–2030
12.5.1. Drug Databases
12.5.2. Care Plans
12.5.3. Diagnostic Decision Support
12.5.4. Disease Reference
12.5.5. Others
12.6. Market Value Forecast, by End-user, 2017–2030
12.6.1. Hospitals
12.6.2. Diagnostic Centers
12.6.3. Clinics
12.6.4. Others
12.7. Market Value Forecast, by Country, 2017–2030
12.7.1. U.S.
12.7.2. Canada
12.8. Market Attractiveness Analysis
12.8.1. By Usage Based
12.8.2. By Mode of Advice
12.8.3. By Delivery Model
12.8.4. By Application
12.8.5. By End-user
12.8.6. By Country
13. Europe Clinical Decision Support System Market Analysis and Forecast
13.1. Introduction
13.1.1. Key Findings
13.2. Market Value Forecast, by Usage Based, 2017–2030
13.2.1. Knowledge-based Systems
13.2.2. Expert Laboratory Information Systems
13.2.3. Machine Learning Systems
13.3. Market Value Forecast, by Mode of Advice, 2017–2030
13.3.1. Passive CDSS
13.3.2. Active CDSS
13.4. Market Value Forecast, by Delivery Model, 2017–2030
13.4.1. On-premises
13.4.2. Web-based
13.4.3. Cloud-based
13.5. Market Value Forecast, by Application, 2017–2030
13.5.1. Drug Databases
13.5.2. Care Plans
13.5.3. Diagnostic Decision Support
13.5.4. Disease Reference
13.5.5. Others
13.6. Market Value Forecast, by End-user, 2017–2030
13.6.1. Hospitals
13.6.2. Diagnostic Centers
13.6.3. Clinics
13.6.4. Others
13.7. Market Value Forecast, by Country/Sub-region, 2017–2030
13.7.1. Germany
13.7.2. U.K.
13.7.3. France
13.7.4. Spain
13.7.5. Italy
13.7.6. Rest of Europe
13.8. Market Attractiveness Analysis
13.8.1. By Usage Based
13.8.2. By Mode of Advice
13.8.3. By Delivery Model
13.8.4. By Application
13.8.5. By End-user
13.8.6. By Country/Sub-region
14. Asia Pacific Clinical Decision Support System Market Analysis and Forecast
14.1. Introduction
14.1.1. Key Findings
14.2. Market Value Forecast, by Usage Based, 2017–2030
14.2.1. Knowledge-based Systems
14.2.2. Expert Laboratory Information Systems
14.2.3. Machine Learning Systems
14.3. Market Value Forecast, by Mode of Advice, 2017–2030
14.3.1. Passive CDSS
14.3.2. Active CDSS
14.4. Market Value Forecast, by Delivery Model, 2017–2030
14.4.1. On-premises
14.4.2. Web-based
14.4.3. Cloud-based
14.5. Market Value Forecast, by Application, 2017–2030
14.5.1. Drug Databases
14.5.2. Care Plans
14.5.3. Diagnostic Decision Support
14.5.4. Disease Reference
14.5.5. Others
14.6. Market Value Forecast, by End-user, 2017–2030
14.6.1. Hospitals
14.6.2. Diagnostic Centers
14.6.3. Clinics
14.6.4. Others
14.7. Market Value Forecast, by Country/Sub-region, 2017–2030
14.7.1. China
14.7.2. Japan
14.7.3. India
14.7.4. Australia & New Zealand
14.7.5. Rest of Asia Pacific
14.8. Market Attractiveness Analysis
14.8.1. By Usage Based
14.8.2. By Mode of Advice
14.8.3. By Delivery Model
14.8.4. By Application
14.8.5. By End-user
14.8.6. By Country/Sub-region
15. Latin America Clinical Decision Support System Market Analysis and Forecast
15.1. Introduction
15.1.1. Key Findings
15.2. Market Value Forecast, by Usage Based, 2017–2030
15.2.1. Knowledge-based Systems
15.2.2. Expert Laboratory Information Systems
15.2.3. Machine Learning Systems
15.3. Market Value Forecast, by Mode of Advice, 2017–2030
15.3.1. Passive CDSS
15.3.2. Active CDSS
15.4. Market Value Forecast, by Delivery Model, 2017–2030
15.4.1. On-premises
15.4.2. Web-based
15.4.3. Cloud-based
15.5. Market Value Forecast, by Application, 2017–2030
15.5.1. Drug Databases
15.5.2. Care Plans
15.5.3. Diagnostic Decision Support
15.5.4. Disease Reference
15.5.5. Others
15.6. Market Value Forecast, by End-user, 2017–2030
15.6.1. Hospitals
15.6.2. Diagnostic Centers
15.6.3. Clinics
15.6.4. Others
15.7. Market Value Forecast, by Country/Sub-region, 2017–2030
15.7.1. Brazil
15.7.2. Mexico
15.7.3. Rest of Latin America
15.8. Market Attractiveness Analysis
15.8.1. By Usage Based
15.8.2. By Mode of Advice
15.8.3. By Delivery Model
15.8.4. By Application
15.8.5. By End-user
15.8.6. By Country/Sub-region
16. Middle East & Africa Clinical Decision Support System Market Analysis and Forecast
16.1. Introduction
16.1.1. Key Findings
16.2. Market Value Forecast, by Usage Based, 2017–2030
16.2.1. Knowledge-based Systems
16.2.2. Expert Laboratory Information Systems
16.2.3. Machine Learning Systems
16.3. Market Value Forecast, by Mode of Advice, 2017–2030
16.3.1. Passive CDSS
16.3.2. Active CDSS
16.4. Market Value Forecast, by Delivery Model, 2017–2030
16.4.1. On-premises
16.4.2. Web-based
16.4.3. Cloud-based
16.5. Market Value Forecast, by Application, 2017–2030
16.5.1. Drug Databases
16.5.2. Care Plans
16.5.3. Diagnostic Decision Support
16.5.4. Disease Reference
16.5.5. Others
16.6. Market Value Forecast, by End-user, 2017–2030
16.6.1. Hospitals
16.6.2. Diagnostic Centers
16.6.3. Clinics
16.6.4. Others
16.7. Market Value Forecast, by Country/Sub-region, 2017–2030
16.7.1. GCC Countries
16.7.2. South Africa
16.7.3. Rest of Middle East & Africa
16.8. Market Attractiveness Analysis
16.8.1. By Usage Based
16.8.2. By Mode of Advice
16.8.3. By Delivery Model
16.8.4. By Application
16.8.5. By End-user
16.8.6. By Country/Sub-region
17. Competition Landscape
17.1. Market Player - Competition Matrix
17.2. Market Share Analysis, by Company, 2021
17.3. Company Profiles
17.3.1. Allscripts Healthcare Solutions, Inc.
17.3.1.1. Company Overview (HQ, Business Segments, Employee)
17.3.1.2. Product Portfolio
17.3.1.3. SWOT Analysis
17.3.1.4. Strategic Overview
17.3.2. First Databank, Inc.
17.3.2.1. Company Overview (HQ, Business Segments, Employee)
17.3.2.2. Product Portfolio
17.3.2.3. SWOT Analysis
17.3.2.4. Strategic Overview
17.3.3. Truven Health Analytics
17.3.3.1. Company Overview (HQ, Business Segments, Employee)
17.3.3.2. Product Portfolio
17.3.3.3. SWOT Analysis
17.3.3.4. Strategic Overview
17.3.4. Cerner
17.3.4.1. Company Overview (HQ, Business Segments, Employee)
17.3.4.2. Product Portfolio
17.3.4.3. SWOT Analysis
17.3.4.4. Strategic Overview
17.3.5. Philips Healthcare
17.3.5.1. Company Overview (HQ, Business Segments, Employee)
17.3.5.2. Product Portfolio
17.3.5.3. SWOT Analysis
17.3.5.4. 17.3.5.4.Strategic Overview
17.3.6. Siemens Healthcare
17.3.6.1. Company Overview (HQ, Business Segments, Employee)
17.3.6.2. Product Portfolio
17.3.6.3. SWOT Analysis
17.3.6.4. Strategic Overview
17.3.7. Optum, Inc. (UnitedHealth Group)
17.3.7.1. Company Overview (HQ, Business Segments, Employee)
17.3.7.2. Product Portfolio
17.3.7.3. SWOT Analysis
17.3.7.4. Strategic Overview
17.3.8. GE Healthcare
17.3.8.1. Company Overview (HQ, Business Segments, Employee)
17.3.8.2. Product Portfolio
17.3.8.3. SWOT Analysis
17.3.8.4. Strategic Overview
17.3.9. Epic Systems Corporation Inc.
17.3.9.1. Company Overview (HQ, Business Segments, Employee)
17.3.9.2. Product Portfolio
17.3.9.3. SWOT Analysis
17.3.9.4. Strategic Overview
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers