The global clinical decision support systems market size was valued at US$ 5.5 billion in 2021 and is anticipated to grow US$ 12.4 billion by 2030, registering a compound annual growth rate (CAGR) of 9.45% from 2022 to 2030.
The clinical decision support systems market report covering various industry elements and growth trends helpful for predicting the market’s future.
The study provides a strong base for the clinical decision support systems market to be segmented into different segments. In fact, the study also covers the maximum market share during the assessment period by 2030.
This study is based on the partners that are highly competitive, key players as well as their market revenue in the forecast years of 2022 to 2030. There is also a strong focus on product revenues, sales, product categories and even the products that are experiencing the most traction. In this manner, the clinical decision support systems report also speaks about the effectiveness of this market along with its growth during the forecast period of 2030. Other major attributes of the clinical decision support systems market have been studied and analysed across many developments.
Report Scope of the Clinical Decision Support Systems Market
Report Coverage | Details |
Market Size in 2022 | USD 6.02 Billion |
Market Size by 2030 | USD 12.4 Billion |
Growth Rate from 2022 to 2030 | CAGR of 9.45% |
Base Year | 2021 |
Forecast Period | 2022 to 2030 |
Segments Covered | Product, Application, Delivery Mode, Component, Model, Type, Level of Interactivity, Settings and Geography |
Research Approach
The comprehensive report on the global clinical decision support systems market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global clinical decision support systems market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
Key Players are McKesson Corporation, IBM Corporation, Siemens Healthineers GmbH, NextGen Healthcare Inc., Cerner Corporation, Agfa-Gevaert Group, Wolters Kluwer N.V., Koninklijke Philips N.V. (Royal Philips), Allscripts Healthcare, LLC, athenahealth, Inc.
Market Segmentations
By Product
- Standalone CDSS
- Integrated CPOE
- Integrated E.H.R
- Integrated CDSS with CPOE & E.H.R.
By Application
- Drug Allergy Alerts
- Clinical Guidelines
- Drug-drug Interactions
- Clinical Reminders
- Drug Dosing Support
- Others
By Delivery Mode
- On-premise Systems
- Web-based Systems
- Cloud-based Systems
By Component
- Hardware
- Software
- Services
By Model
- Knowledge based
- Non-Knowledge based
By Type
- Therapeutic
- Diagnostic
By Level of Interactivity
- Active CDSS
- Passive CDSS
By Settings
- In Patient
- Ambulatory care settings
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Clinical Decision Support Systems Market, By Product
7.1. Clinical Decision Support Systems Market, by Product, 2022-2030
7.1.1. Standalone CDSS
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Integrated CPOE
7.1.2.1. Market Revenue and Forecast (2017-2030)
7.1.3. Integrated E.H.R
7.1.3.1. Market Revenue and Forecast (2017-2030)
7.1.4. Integrated CDSS with CPOE & E.H.R.
7.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Clinical Decision Support Systems Market, By Application
8.1. Clinical Decision Support Systems Market, by Application, 2022-2030
8.1.1. Drug Allergy Alerts
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Clinical Guidelines
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Drug-drug Interactions
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Clinical Reminders
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Drug Dosing Support
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.6. Others
8.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Clinical Decision Support Systems Market, By Delivery Mode
9.1. Clinical Decision Support Systems Market, by Delivery Mode, 2022-2030
9.1.1. On-premise Systems
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Web-based Systems
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Cloud-based Systems
9.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Clinical Decision Support Systems Market, By Component
10.1. Clinical Decision Support Systems Market, by Component, 2022-2030
10.1.1. Hardware
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Software
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Services
10.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Clinical Decision Support Systems Market, By Model
11.1. Clinical Decision Support Systems Market, by Model, 2022-2030
11.1.1. Knowledge based
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Non-Knowledge based
11.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Clinical Decision Support Systems Market, By Type
12.1. Clinical Decision Support Systems Market, by Type, 2022-2030
12.1.1. Therapeutic
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Diagnostic
12.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Clinical Decision Support Systems Market, By Level of Interactivity
13.1. Clinical Decision Support Systems Market, by Level of Interactivity, 2022-2030
13.1.1. Active CDSS
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Passive CDSS
13.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Clinical Decision Support Systems Market, By Settings
14.1. Clinical Decision Support Systems Market, by Settings, 2022-2030
14.1.1. In Patient
14.1.1.1. Market Revenue and Forecast (2017-2030)
14.1.2. Ambulatory care settings
14.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 15. Global Clinical Decision Support Systems Market, Regional Estimates and Trend Forecast
15.1. North America
15.1.1. Market Revenue and Forecast, by Product (2017-2030)
15.1.2. Market Revenue and Forecast, by Application (2017-2030)
15.1.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.1.4. Market Revenue and Forecast, by Component (2017-2030)
15.1.5. Market Revenue and Forecast, by Model (2017-2030)
15.1.6. Market Revenue and Forecast, by Type (2017-2030)
15.1.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.1.8. Market Revenue and Forecast, by Settings (2017-2030)
15.1.9. U.S.
15.1.9.1. Market Revenue and Forecast, by Product (2017-2030)
15.1.9.2. Market Revenue and Forecast, by Application (2017-2030)
15.1.9.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.1.9.4. Market Revenue and Forecast, by Component (2017-2030)
15.1.9.5. Market Revenue and Forecast, by Model (2017-2030)
15.1.9.6. Market Revenue and Forecast, by Type (2017-2030)
15.1.9.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.1.9.8. Market Revenue and Forecast, by Settings (2017-2030)
15.1.10. Rest of North America
15.1.10.1. Market Revenue and Forecast, by Product (2017-2030)
15.1.10.2. Market Revenue and Forecast, by Application (2017-2030)
15.1.10.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.1.10.4. Market Revenue and Forecast, by Component (2017-2030)
15.1.10.5. Market Revenue and Forecast, by Model (2017-2030)
15.1.10.6. Market Revenue and Forecast, by Type (2017-2030)
15.1.10.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.1.10.8. Market Revenue and Forecast, by Settings (2017-2030)
15.2. Europe
15.2.1. Market Revenue and Forecast, by Product (2017-2030)
15.2.2. Market Revenue and Forecast, by Application (2017-2030)
15.2.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.2.4. Market Revenue and Forecast, by Component (2017-2030)
15.2.5. Market Revenue and Forecast, by Model (2017-2030)
15.2.6. Market Revenue and Forecast, by Type (2017-2030)
15.2.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.2.8. Market Revenue and Forecast, by Settings (2017-2030)
15.2.9. UK
15.2.9.1. Market Revenue and Forecast, by Product (2017-2030)
15.2.9.2. Market Revenue and Forecast, by Application (2017-2030)
15.2.9.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.2.9.4. Market Revenue and Forecast, by Component (2017-2030)
15.2.9.5. Market Revenue and Forecast, by Model (2017-2030)
15.2.9.6. Market Revenue and Forecast, by Type (2017-2030)
15.2.9.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.2.9.8. Market Revenue and Forecast, by Settings (2017-2030)
15.2.10. Germany
15.2.10.1. Market Revenue and Forecast, by Product (2017-2030)
15.2.10.2. Market Revenue and Forecast, by Application (2017-2030)
15.2.10.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.2.10.4. Market Revenue and Forecast, by Component (2017-2030)
15.2.10.5. Market Revenue and Forecast, by Model (2017-2030)
15.2.10.6. Market Revenue and Forecast, by Type (2017-2030)
15.2.10.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.2.10.8. Market Revenue and Forecast, by Settings (2017-2030)
15.2.11. France
15.2.11.1. Market Revenue and Forecast, by Product (2017-2030)
15.2.11.2. Market Revenue and Forecast, by Application (2017-2030)
15.2.11.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.2.11.4. Market Revenue and Forecast, by Component (2017-2030)
15.2.11.5. Market Revenue and Forecast, by Model (2017-2030)
15.2.11.6. Market Revenue and Forecast, by Type (2017-2030)
15.2.11.7. Market Revenue and Forecast, by Settings (2017-2030)
15.2.11.8. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.2.12. Rest of Europe
15.2.12.1. Market Revenue and Forecast, by Product (2017-2030)
15.2.12.2. Market Revenue and Forecast, by Application (2017-2030)
15.2.12.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.2.12.4. Market Revenue and Forecast, by Component (2017-2030)
15.2.12.5. Market Revenue and Forecast, by Model (2017-2030)
15.2.12.6. Market Revenue and Forecast, by Type (2017-2030)
15.2.12.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.2.12.8. Market Revenue and Forecast, by Settings (2017-2030)
15.3. APAC
15.3.1. Market Revenue and Forecast, by Product (2017-2030)
15.3.2. Market Revenue and Forecast, by Application (2017-2030)
15.3.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.3.4. Market Revenue and Forecast, by Component (2017-2030)
15.3.5. Market Revenue and Forecast, by Model (2017-2030)
15.3.6. Market Revenue and Forecast, by Type (2017-2030)
15.3.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.3.8. Market Revenue and Forecast, by Settings (2017-2030)
15.3.9. India
15.3.9.1. Market Revenue and Forecast, by Product (2017-2030)
15.3.9.2. Market Revenue and Forecast, by Application (2017-2030)
15.3.9.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.3.9.4. Market Revenue and Forecast, by Component (2017-2030)
15.3.9.5. Market Revenue and Forecast, by Model (2017-2030)
15.3.9.6. Market Revenue and Forecast, by Type (2017-2030)
15.3.9.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.3.9.8. Market Revenue and Forecast, by Settings (2017-2030)
15.3.10. China
15.3.10.1. Market Revenue and Forecast, by Product (2017-2030)
15.3.10.2. Market Revenue and Forecast, by Application (2017-2030)
15.3.10.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.3.10.4. Market Revenue and Forecast, by Component (2017-2030)
15.3.10.5. Market Revenue and Forecast, by Model (2017-2030)
15.3.10.6. Market Revenue and Forecast, by Type (2017-2030)
15.3.10.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.3.10.8. Market Revenue and Forecast, by Settings (2017-2030)
15.3.11. Japan
15.3.11.1. Market Revenue and Forecast, by Product (2017-2030)
15.3.11.2. Market Revenue and Forecast, by Application (2017-2030)
15.3.11.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.3.11.4. Market Revenue and Forecast, by Component (2017-2030)
15.3.11.5. Market Revenue and Forecast, by Model (2017-2030)
15.3.11.6. Market Revenue and Forecast, by Type (2017-2030)
15.3.11.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.3.11.8. Market Revenue and Forecast, by Settings (2017-2030)
15.3.12. Rest of APAC
15.3.12.1. Market Revenue and Forecast, by Product (2017-2030)
15.3.12.2. Market Revenue and Forecast, by Application (2017-2030)
15.3.12.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.3.12.4. Market Revenue and Forecast, by Component (2017-2030)
15.3.12.5. Market Revenue and Forecast, by Model (2017-2030)
15.3.12.6. Market Revenue and Forecast, by Type (2017-2030)
15.3.12.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.3.12.8. Market Revenue and Forecast, by Settings (2017-2030)
15.4. MEA
15.4.1. Market Revenue and Forecast, by Product (2017-2030)
15.4.2. Market Revenue and Forecast, by Application (2017-2030)
15.4.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.4.4. Market Revenue and Forecast, by Component (2017-2030)
15.4.5. Market Revenue and Forecast, by Model (2017-2030)
15.4.6. Market Revenue and Forecast, by Type (2017-2030)
15.4.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.4.8. Market Revenue and Forecast, by Settings (2017-2030)
15.4.9. GCC
15.4.9.1. Market Revenue and Forecast, by Product (2017-2030)
15.4.9.2. Market Revenue and Forecast, by Application (2017-2030)
15.4.9.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.4.9.4. Market Revenue and Forecast, by Component (2017-2030)
15.4.9.5. Market Revenue and Forecast, by Model (2017-2030)
15.4.9.6. Market Revenue and Forecast, by Type (2017-2030)
15.4.9.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.4.9.8. Market Revenue and Forecast, by Settings (2017-2030)
15.4.10. North Africa
15.4.10.1. Market Revenue and Forecast, by Product (2017-2030)
15.4.10.2. Market Revenue and Forecast, by Application (2017-2030)
15.4.10.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.4.10.4. Market Revenue and Forecast, by Component (2017-2030)
15.4.10.5. Market Revenue and Forecast, by Model (2017-2030)
15.4.10.6. Market Revenue and Forecast, by Type (2017-2030)
15.4.10.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.4.10.8. Market Revenue and Forecast, by Settings (2017-2030)
15.4.11. South Africa
15.4.11.1. Market Revenue and Forecast, by Product (2017-2030)
15.4.11.2. Market Revenue and Forecast, by Application (2017-2030)
15.4.11.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.4.11.4. Market Revenue and Forecast, by Component (2017-2030)
15.4.11.5. Market Revenue and Forecast, by Model (2017-2030)
15.4.11.6. Market Revenue and Forecast, by Type (2017-2030)
15.4.11.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.4.11.8. Market Revenue and Forecast, by Settings (2017-2030)
15.4.12. Rest of MEA
15.4.12.1. Market Revenue and Forecast, by Product (2017-2030)
15.4.12.2. Market Revenue and Forecast, by Application (2017-2030)
15.4.12.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.4.12.4. Market Revenue and Forecast, by Component (2017-2030)
15.4.12.5. Market Revenue and Forecast, by Model (2017-2030)
15.4.12.6. Market Revenue and Forecast, by Type (2017-2030)
15.4.12.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.4.12.8. Market Revenue and Forecast, by Settings (2017-2030)
15.5. Latin America
15.5.1. Market Revenue and Forecast, by Product (2017-2030)
15.5.2. Market Revenue and Forecast, by Application (2017-2030)
15.5.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.5.4. Market Revenue and Forecast, by Component (2017-2030)
15.5.5. Market Revenue and Forecast, by Model (2017-2030)
15.5.6. Market Revenue and Forecast, by Type (2017-2030)
15.5.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.5.8. Market Revenue and Forecast, by Settings (2017-2030)
15.5.9. Brazil
15.5.9.1. Market Revenue and Forecast, by Product (2017-2030)
15.5.9.2. Market Revenue and Forecast, by Application (2017-2030)
15.5.9.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.5.9.4. Market Revenue and Forecast, by Component (2017-2030)
15.5.9.5. Market Revenue and Forecast, by Model (2017-2030)
15.5.9.6. Market Revenue and Forecast, by Type (2017-2030)
15.5.9.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.5.9.8. Market Revenue and Forecast, by Settings (2017-2030)
15.5.10. Rest of LATAM
15.5.10.1. Market Revenue and Forecast, by Product (2017-2030)
15.5.10.2. Market Revenue and Forecast, by Application (2017-2030)
15.5.10.3. Market Revenue and Forecast, by Delivery Mode (2017-2030)
15.5.10.4. Market Revenue and Forecast, by Component (2017-2030)
15.5.10.5. Market Revenue and Forecast, by Model (2017-2030)
15.5.10.6. Market Revenue and Forecast, by Type (2017-2030)
15.5.10.7. Market Revenue and Forecast, by Level of Interactivity (2017-2030)
15.5.10.8. Market Revenue and Forecast, by Settings (2017-2030)
Chapter 16. Company Profiles
16.1. McKesson Corporation
16.1.1. Company Overview
16.1.2. Product Offerings
16.1.3. Financial Performance
16.1.4. Recent Initiatives
16.2. IBM Corporation
16.2.1. Company Overview
16.2.2. Product Offerings
16.2.3. Financial Performance
16.2.4. Recent Initiatives
16.3. Siemens Healthineers GmbH
16.3.1. Company Overview
16.3.2. Product Offerings
16.3.3. Financial Performance
16.3.4. Recent Initiatives
16.4. NextGen Healthcare Inc.
16.4.1. Company Overview
16.4.2. Product Offerings
16.4.3. Financial Performance
16.4.4. Recent Initiatives
16.5. Cerner Corporation
16.5.1. Company Overview
16.5.2. Product Offerings
16.5.3. Financial Performance
16.5.4. Recent Initiatives
16.6. Agfa-Gevaert Group
16.6.1. Company Overview
16.6.2. Product Offerings
16.6.3. Financial Performance
16.6.4. Recent Initiatives
16.7. Wolters Kluwer N.V.
16.7.1. Company Overview
16.7.2. Product Offerings
16.7.3. Financial Performance
16.7.4. Recent Initiatives
16.8. Koninklijke Philips N.V. (Royal Philips)
16.8.1. Company Overview
16.8.2. Product Offerings
16.8.3. Financial Performance
16.8.4. Recent Initiatives
16.9. Allscripts Healthcare
16.9.1. Company Overview
16.9.2. Product Offerings
16.9.3. Financial Performance
16.9.4. Recent Initiatives
16.10. LLC
16.10.1. Company Overview
16.10.2. Product Offerings
16.10.3. Financial Performance
16.10.4. Recent Initiatives
Chapter 17. Research Methodology
16.7. Primary Research
16.7. Secondary Research
16.7. Assumptions
Chapter 18. Appendix
18.1. About Us
18.2. Glossary of Terms
Why should you invest in this report?
If you are aiming to enter the global clinical decision support systems market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for clinical decision support systems are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Request a Sample Copy of This Report @ https://www.precedenceresearch.com/sample/2237
Contact Us:
Mr. Alex
Sales Manager
Call: +1 9197 992 333
Email: sales@precedenceresearch.com