Clinical Decision Support Systems Market

Clinical Decision Support Systems Market size reached USD 1,357 million in 2022 and is estimated to reach USD 2,724 million in 2030 and the market is estimated to grow at a CAGR of 9.1% from 2023-2030.

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Major Clinical Decision Support Systems Market Drivers

The factors which are responsible for the growth of the global clinical decision support systems market include the rising government initiatives and the growing support for the adoption of health information technology to enhance the healthcare quality. Healthcare professionals have started adopting big data and health tools for medication, which decrease the cases of errors and the occurrence of chronic diseases, leading to a surge in demand for such systems. In addition to this, several technological advancements and research & development activities for the development of such systems will lead to an increase in the usage of these systems during the forecast period. Moreover, the rise in the number of hospitals and healthcare facilities and the incorporation of cloud computing, which smoothens the function of such systems, are some other major factors bolstering the demand for clinical decision support systems in the market worldwide. Inclination towards quality care and precision medicine, rapid growing geriatric population, and the partnerships among the clinical decision support companies and the medical research group are some factors paving the way for the clinical decision support systems in the market over the forecast period. The factors that are responsible for hindering the growth of global clinical decision support systems include the concerns related to the data security on the cloud-based systems and the requirement of high investments for the implementation of IT infrastructure.

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Delivery Mode – Segment Analysis

Based on the delivery mode, the cloud-based CDSS is expected to grow at a higher CAGR during the forecast period owing to the increasing adoption of cloud-based clinical decision support systems as a result of various advantages that include increased safety when compared with the on-premise systems as these are not dependent on the web browsers, enhanced scalability, and flexibility. In addition, rising accessibility of cloud technology along with the growing adoption of cloud computing are also some key factors driving the market growth of this segment.

Level of Interactivity – Segment Analysis

Based on the level of interactivity, the active CDSS is anticipated to grow at a higher CAGR over the forecast period due to the increasing usage of such systems among the healthcare providers and the launch of several government initiatives for encouraging the implementation of health IT solutions is propelling the demand of clinical decision support system.

Type – Segment Analysis

Based on the type, the therapeutic clinical decision support systems are expected to grow at a higher CAGR during the forecast period due to the increasing adoption by the care providers and clinicians due to their ability to permit clinicians to convert the clinical practices by interactive assistance combining with therapeutic practices and support evidence-based medicine.

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Regional – Segment Analysis     

Based on the region, North America is anticipated to grow at a CAGR during the forecast period due to the high adoption of technologically advanced tools in the healthcare infrastructure in this region along with the growing need for quality care among the individuals. In addition, supportive initiatives and regulations for the application of such systems and the increasing cases of medical errors are some other factors fuelling the demand for clinical decision support systems in this region.

Top Market Players

Various notable players operating in the global clinical decision support systems market include McKesson, Meditech, Cerner, Epic Systems, IBM, Philips Healthcare, Hearst Health, Allscripts Healthcare Solutions, Wolters Kluwer Health, Elsevier B.V among others.

Key Market Developments:

• • In 2020, IBM Watson Health collaborated with EBSCO information services for launching the integrated CDS solution. Through this collaboration, the companies focused on improving the clinical decision support and operations for the healthcare providers and health systems.
  • In 2018, Cerner collaborated with Duke Clinical Research Institute for the development of mHealth App for the clinical decision support that permits the clinicians to check if the patients are at an increased risk of stroke or heart attack.

Segments covered in the Report:

The global clinical decision support systems market is segmented by component, product, type, model, delivery mode, application, level of interactivity, setting, and key regions. Based on the component, the market is segmented into Hardware, Software, and Services. Based on the product, the market is segmented into Integrated CDSS and Standalone CDSS. Based on the type, the market is segmented into Diagnostic Clinical Decision Support Systems and Therapeutic Clinical Decision Support Systems. Based on the model, the market is segmented into Knowledge-Based CDSS and Non-Knowledge-Based CDSS. Based on the delivery mode, the market is segmented into Cloud-Based CDSS and On-Premise CDSS. Based on the application, the market is segmented into Conventional Clinical Decision Support Systems and Advanced Clinical Decision Support Systems. Based on the level of interactivity, the market is segmented into Active CDSS and Passive CDSS. Based on the setting, the market is segmented into Ambulatory Care Settings and Impatient Settings.

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Key questions answered in this research report:

• • At what pace is the global clinical decision support systems growing? What will be the growth trend in the future?
  • What are the key drivers and restraints in the global clinical decision support systems market? What will be the impact of drivers and restraints in the future?
  • What are the regional revenues and forecast breakdowns? Which are the major regional revenue pockets for growth in the global clinical decision support systems market?
  • What are the various types of clinical decision support systems, and how they are poised to grow?
  • What companies are the major participants in this market and their business strategies, how does the competitive landscape look like?
  • Which type of clinical decision support system generated maximum revenues in 2022 and identify the most promising types during the forecast period?

Market Segmentation

Global Clinical Decision Support Systems Market by Component

• • Hardware
  • Software
  • Services

Global Clinical Decision Support Systems Market by Product

• • Integrated CDSS
  • Standalone CDSS

Global Clinical Decision Support Systems Market by Type

• • Diagnostic Clinical Decision Support Systems
  • Therapeutic Clinical Decision Support Systems

Global Clinical Decision Support Systems Market by Model

• • Knowledge-Based CDSS
  • Non-Knowledge-Based CDSS

Global Clinical Decision Support Systems Market by Delivery Mode

• • Cloud-Based CDSS
  • On-Premise CDSS

Global Clinical Decision Support Systems Market by Application

• • Conventional Clinical Decision Support Systems
  • Advanced Clinical Decision Support Systems

Global Clinical Decision Support Systems Market by Level of Interactivity

• • Active CDSS
  • Passive CDSS

Global Clinical Decision Support Systems Market by Setting

• • Ambulatory Care Settings
  • Impatient Settings

Global Clinical Decision Support Systems Market by Region

• • North America Clinical Decision Support Systems Market (Option 1: As a part of the free 25% customization)
    • By Component
    • By Product
    • By Type
    • By Model
    • By Delivery Mode
    • By Application
    • By Level of Interactivity
    • By Setting
    • United States of America (US) Market All-Up
    • Canada Market All-Up
  • Europe Clinical Decision Support Systems Market (Option 2: As a part of the free 25% Customization)
    • By Component
    • By Product
    • By Type
    • By Model
    • By Delivery Mode
    • By Application
    • By Level of Interactivity
    • By Setting
    • United Kingdom (UK) Market All-Up
    • Germany All-Up Market All-Up
    • France Market All-Up
    • Spain Market All-Up
    • Rest of Europe Market All-Up
  • Asia-Pacific Clinical Decision Support Systems Market (Option 3: As a part of the free 25% Customization)
    • By Component
    • By Product
    • By Type
    • By Model
    • By Delivery Mode
    • By Application
    • By Level of Interactivity
    • By Setting
    • China Market All-Up
    • India Market All-Up
    • Japan Market All-Up
    • Rest of APAC Market All-Up
  • ROW Clinical Decision Support Systems Market (Option 4: As a part of the free 25% Customization)
    • By Component
    • By Product
    • By Type
    • By Model
    • By Delivery Mode
    • By Application
    • By Level of Interactivity
    • By Setting
    • Brazil Market All-Up
    • South Africa Market All-Up
    • Saudi Arabia Market All-Up
    • UAE Market All-Up
    • Rest of world (remaining countries of the LAMEA region) Market All-Up

Clinical Decision Support Systems Leading Market Players (Option 5: As a part of the free 25% Customization – Profiles of 5 Additional Companies of your Choice)

• • McKesson
  • Meditech
  • Cerner
  • Epic Systems
  • IBM
  • Philips Healthcare
  • Hearst Health
  • Allscripts Healthcare Solutions
  • Wolters Kluwer Health
  • Elsevier B.V