Global Clinical Decision Support System Market Insights, Size and Growth Forecast To 2027

Global Clinical Decision Support System Market - By Component (Hardware, Services, Software), By Delivery Mode (Cloud-based, On-premise), By Product (Standalone CDSS, Integrated CDSS), By Application (Conventional CDSS, Advanced CDSS), By Model (Knowledge-based CDSS, Non-Knowledge-based CDSS), By Type (Therapeutic, Diagnostic), By End-user (Active CDSS, Passive CDSS), By Patient Care Setting (Inpatient Settings, Ambulatory Care Settings), and By Region (North America, Europe, Asia Pacific, South America, and Middle East, & Africa)- Global forecast from 2021-2028

Published: Jan-2021	Report ID: HLCA2102	Pages: 1 - 208	Formats^*:
Category : Healthcare

The Global Clinical Decision Support System market is bolstering market growth due to rising chronic diseases and medical errors.

The Global Clinical Decision Support System market will grow with USD 1.15 billion at bolstering CAGR in the forecast period from 2020-2027. With the rising development of the computer, network communication, and other technologies, clinicians, medical institution managers, and health policymakers are increasingly looking forward to the decision support services provided by information technology.

The EHR (Electronic Health Record System) expected to be the center of the CDSS (Clinical Decision Support System) due to the increase in the amount of patient data from various sources. Thus, it will contribute to the improvement of the workflow so that doctors can better monitor patients at the point of care.

Component overview in the Global Clinical Decision Support System Market

Based on the component, the global clinical decision support system market segmented into Hardware, Services, Software. The software segment has captured the highest market value in the global clinical decision support system market in the forecast period from 2020-2027. The emerging need for integration of big data with the healthcare industry helps in enhancing the functions of the medical industry. Thus, the software component will fuel the market demand for CDSS.

Delivery Mode overview in the Global Clinical Decision Support System Market

Based on the delivery mode, the global clinical decision support system market attributed to Cloud-based, On-premise. The cloud-based segment has dominated the market share of the global clinical decision support system market. The cloud-based delivery mode will allow the patient and doctor to access the documents and medical history of the patient and promote safety and privacy as well.

Product overview in the Global Clinical Decision Support System Market

Based on the product, the global clinical decision support system market bifurcated into Standalone CDSS, Integrated CDSS. The integrated CDSS will capture the largest share in the global clinical decision support system market. It is owing to features of integrated CDSS that helps in providing a familiar and interactive interface which helps in making better clinical decision making.

Application overview in the Global Clinical Decision Support System Market

Based on the application, the global clinical decision support system market integrated into Conventional CDSS, Advanced CDSS. The advanced CDSS will promote the market growth of the global clinical decision support system market. It owes to provide better solutions to the patients and hospital to maintain database and better treatment.

Model overview in the Global Clinical Decision Support System Market

Based on the model, the global clinical decision support system market attributed to Knowledge-based CDSS and Non-Knowledge-based CDSS. The Knowledge-based CDSS will account for the largest share in the global clinical decision support system market from 2020-2027. Due to the functions of the knowledge-based CDSS that eliminates the chances of error of patient medical database.

Type overview in the Global Clinical Decision Support System Market

Based on the type, the global clinical decision support system market segmented into Therapeutic, Diagnostic. The therapeutic segment account for the largest share in the clinical decision support system market. The therapeutic type of treatment will provide a better understanding of the doctor with evidence-based medicines that helps in better decision making than the diagnostic procedure.

End-User overview in the Global Clinical Decision Support System Market

Based on the End-use, the global clinical decision support system market categorized into Active CDSS, Passive CDSS. The active CDSS will dominate the market demand for the global clinical decision support system. The active CDSS will provide better solutions to the patient that reduces the cost of medical treatment and saves time.

Patient Care Setting Overview in the Global Clinical Decision Support System Market

Based on the patient care setting, the global clinical decision support system market bifurcated into Inpatient Settings, Ambulatory Care Settings. The inpatients have the largest share in the CDSS market owing to maintain the database of patient and analyze it for providing for better treatment.

Region Overview in the Global Clinical Decision Support System Market

Based on geography, the global inspection and maintenance robot market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. The North America region will be expecting to witness the highest growth during the forecast period from 2020-2027. It owes to integrate the healthcare industry with CDSS to reduce errors and save the cost of medical expenses.

Global Inspection and Maintenance Robot Market: Competitive Landscape

Companies such as

Wolters Kluwer Health
Hearst Health
Elsevier B.V.
Cerner Corporation
McKesson Corporation
Epic Systems Corporation
MEDITECH
Philips Healthcare
International Business Machines (IBM)
Allscripts Healthcare Solutions Inc.
and others

are key players in the global clinical decision support system market.

1. Research Strategic Development

1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation

2. Research Methodology

2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation

3. Executive Summary

4. Market Insights

4.1. Economic Factor Analysis

4.1.1. Drivers
4.1.2. Trends
4.1.3. Opportunities
4.1.4. Challenges

4.2. Competitors & Product Analysis
4.3. Regulatory Framework
4.4. Company market share analysis, 2019
4.5. Porterâ€™s Five forces analysis
4.6. New Investment Analysis
4.7. PESTEL Analysis

5. Global Clinical Decision Support System Market Overview

5.1. Market Size & Forecast, 2016-2027

5.1.1. Demand
5.1.1.1. By Value (USD Million)

5.2. Market Share & Forecast, 2016-2027

5.2.1. By Component
5.2.1.1. Hardware
5.2.1.2. Software
5.2.1.3. Services
5.2.2. By Delivery Mode
5.2.2.1. Cloud-based
5.2.2.2. On-premise
5.2.3. By Product
5.2.3.1. Standalone CDSS
5.2.3.2. Integrated CDSS
5.2.4. By Type
5.2.4.1. Therapeutic CDSS
5.2.4.2. Diagnostic CDSS
5.2.5. By Model
5.2.5.1. Knowledge-based CDSS
5.2.5.2. Non-Knowledge-based CDSS
5.2.6. By End-User
5.2.6.1. Active CDSS
5.2.6.2. Passive CDSS
5.2.7. By Application
5.2.7.1. Conventional CDSS
5.2.7.2. Advanced CDSS
5.2.8. By Setting
5.2.8.1. Inpatient Settings
5.2.8.2. Ambulatory Care Settings
5.2.9. By Region
5.2.9.1. Europe
5.2.9.2. North America
5.2.9.3. Asia Pacific
5.2.9.4. South America
5.2.9.5. Middle East & Africa

6. Europe Clinical Decision Support System Market Overview

6.1. Europe Clinical Decision Support System Size & Forecast, 2016-2027

6.1.1. Demand
6.1.1.1. By Value (USD Million)

6.2. Europe Clinical Decision Support System Market Share & Forecast, 2016-2027

6.2.1. By Component
6.2.1.1. Hardware
6.2.1.2. Software
6.2.1.3. Services
6.2.2. By Delivery Mode
6.2.2.1. Cloud-based
6.2.2.2. On-premise
6.2.3. By Product
6.2.3.1. Standalone CDSS
6.2.3.2. Integrated CDSS
6.2.4. By Type
6.2.4.1. Therapeutic CDSS
6.2.4.2. Diagnostic CDSS
6.2.5. By Model
6.2.5.1. Knowledge-based CDSS
6.2.5.2. Non-Knowledge-based CDSS
6.2.6. By End-User
6.2.6.1. Active CDSS
6.2.6.2. Passive CDSS
6.2.7. By Application
6.2.7.1. Conventional CDSS
6.2.7.2. Advanced CDSS
6.2.8. By Setting
6.2.8.1. Inpatient Settings
6.2.8.2. Ambulatory Care Settings
6.2.9. By Country
6.2.9.1. Germany
6.2.9.2. UK
6.2.9.3. France
6.2.9.4. Italy
6.2.9.5. Rest of Europe
6.2.10. Company Market Share (Top 3-5)
6.2.11. Economic Impact Study on Europe Clinical Decision Support System Market

7. North America Clinical Decision Support System Market Overview

7.1. North America Clinical Decision Support System Market Size & Forecast, 2016-2027

7.1.1. Demand
7.1.1.1. By Value (USD Million)

7.2. North America Clinical Decision Support System Market Share & Forecast, 2016-2027

7.2.1. By Component
7.2.1.1. Hardware
7.2.1.2. Software
7.2.1.3. Services
7.2.2. By Delivery Mode
7.2.2.1. Cloud-based
7.2.2.2. On-premise
7.2.3. By Product
7.2.3.1. Standalone CDSS
7.2.3.2. Integrated CDSS
7.2.4. By Type
7.2.4.1. Therapeutic CDSS
7.2.4.2. Diagnostic CDSS
7.2.5. By Model
7.2.5.1. Knowledge-based CDSS
7.2.5.2. Non-Knowledge-based CDSS
7.2.6. By End-User
7.2.6.1. Active CDSS
7.2.6.2. Passive CDSS
7.2.7. By Application
7.2.7.1. Conventional CDSS
7.2.7.2. Advanced CDSS
7.2.8. By Setting
7.2.8.1. Inpatient Settings
7.2.8.2. Ambulatory Care Settings
7.2.9. By Country
7.2.9.1. US
7.2.9.2. Canada
7.2.9.3. Mexico
7.2.10. Company Market Share (Top 3-5)
7.2.11. Economic Impact Study on North America Clinical Decision Support System Market

8. Asia Pacific Clinical Decision Support System Overview

8.1. Asia Pacific Clinical Decision Support System Market Size & Forecast, 2016-2027

8.1.1. Demand
8.1.1.1. By Value (USD Million)

8.2. Asia Pacific Clinical Decision Support System Market Share & Forecast, 2016-2027

8.2.1. By Component
8.2.1.1. Hardware
8.2.1.2. Software
8.2.1.3. Services
8.2.2. By Delivery Mode
8.2.2.1. Cloud-based
8.2.2.2. On-premise
8.2.3. By Product
8.2.3.1. Standalone CDSS
8.2.3.2. Integrated CDSS
8.2.4. By Type
8.2.4.1. Therapeutic CDSS
8.2.4.2. Diagnostic CDSS
8.2.5. By Model
8.2.5.1. Knowledge-based CDSS
8.2.5.2. Non-Knowledge-based CDSS
8.2.6. By End-User
8.2.6.1. Active CDSS
8.2.6.2. Passive CDSS
8.2.7. By Application
8.2.7.1. Conventional CDSS
8.2.7.2. Advanced CDSS
8.2.8. By Setting
8.2.8.1. Inpatient Settings
8.2.8.2. Ambulatory Care Settings
8.2.9. By Country
8.2.9.1. China
8.2.9.2. India
8.2.9.3. Japan
8.2.9.4. Australia
8.2.9.5. Rest of Asia Pacific
8.2.10. Company Market Share (Top 3-5)
8.2.11. Economic Impact Study on Asia Pacific Clinical Decision Support System Market

9. South America Clinical Decision Support System Market Overview

9.1. South America Clinical Decision Support System Market Size & Forecast, 2016-2027

9.1.1. Demand
9.1.1.1. By Value (USD Million)

9.2. South America Clinical Decision Support System Market Share & Forecast, 2016-2027

9.2.1. By Component
9.2.1.1. Hardware
9.2.1.2. Software
9.2.1.3. Services
9.2.2. By Delivery Mode
9.2.2.1. Cloud-based
9.2.2.2. On-premise
9.2.3. By Product
9.2.3.1. Standalone CDSS
9.2.3.2. Integrated CDSS
9.2.4. By Type
9.2.4.1. Therapeutic CDSS
9.2.4.2. Diagnostic CDSS
9.2.5. By Model
9.2.5.1. Knowledge-based CDSS
9.2.5.2. Non-Knowledge-based CDSS
9.2.6. By End-User
9.2.6.1. Active CDSS
9.2.6.2. Passive CDSS
9.2.7. By Application
9.2.7.1. Conventional CDSS
9.2.7.2. Advanced CDSS
9.2.8. By Setting
9.2.8.1. Inpatient Settings
9.2.8.2. Ambulatory Care Settings
9.2.9. By Country
9.2.9.1. Brazil
9.2.9.2. Argentina
9.2.9.3. Rest of South America
9.2.10. Company Market Share (Top 3-5)
9.2.11. Economic Impact Study on South America Clinical Decision Support System Market

10. Middle East & Africa Clinical Decision Support System Market Overview

10.1. Middle East & Africa Clinical Decision Support System Market Size & Forecast, 2016-2027

10.1.1. Demand
10.1.1.1. By Value (USD Million)

10.2. Middle East & Africa Clinical Decision Support System Market Share & Forecast, 2016-2027

10.2.1. By Component
10.2.1.1. Hardware
10.2.1.2. Software
10.2.1.3. Services
10.2.2. By Delivery Mode
10.2.2.1. Cloud-based
10.2.2.2. On-premise
10.2.3. By Product
10.2.3.1. Standalone CDSS
10.2.3.2. Integrated CDSS
10.2.4. By Type
10.2.4.1. Therapeutic CDSS
10.2.4.2. Diagnostic CDSS
10.2.5. By Model
10.2.5.1. Knowledge-based CDSS
10.2.5.2. Non-Knowledge-based CDSS
10.2.6. By End-User
10.2.6.1. Active CDSS
10.2.6.2. Passive CDSS
10.2.7. By Application
10.2.7.1. Conventional CDSS
10.2.7.2. Advanced CDSS
10.2.8. By Setting
10.2.8.1. Inpatient Settings
10.2.8.2. Ambulatory Care Settings
10.2.9. By Country
10.2.9.1. Saudi Arabia
10.2.9.2. UAE
10.2.9.3. South Africa
10.2.9.4. Rest of Middle East & Africa
10.2.10. Company Market Share (Top 3-5)
10.2.11. Economic Impact Study on Middle East & Africa Clinical Decision Support System Market

11. Competitor Analysis

11.1. Company Description
11.2. Financial Analysis
11.3. Key Products
11.4. Key Management Personnel
11.5. Contact Address
11.6. SWOT Analysis
11.7. Company Profile

11.7.1.1. Wolters Kluwer Health
11.7.1.2. Hearst Health
11.7.1.3. Elsevier B.V.
11.7.1.4. Cerner Corporation
11.7.1.5. McKesson Corporation
11.7.1.6. Epic Systems Corporation
11.7.1.7. MEDITECH
11.7.1.8. Philips Healthcare
11.7.1.9. International Business Machines (IBM)
11.7.1.10. Allscripts Healthcare Solutions, Inc.
11.7.1.11. Other players

SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

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