logo image
search icon
Clinical Decision Support App Market

Clinical Decision Support App Market Size, Share & Trends Analysis Report By Delivery Platform (Web-Based CDS Apps, Mobile-Based CDS Apps), By End User (Hospitals And Clinics, Ambulatory Care Centres, Long-Term Care Facilities), By Application, By Region, And By Segment Forecasts, 2024-2031

Report ID : 2645 | Published : 2024-08-06 | Pages: 170 | Format: PDF/EXCEL

The Clinical Decision Support App Market Size is valued at USD 26.37 Bn in 2023 and is predicted to reach USD 40.56 Bn by 2031 at a 5.66% CAGR during the forecast period for 2024-2031.

clinical decision

Clinical decision support (CDS) apps provide real-time, evidence-based information to physicians to improve patient care. They provide ideas, alerts, and instructions based on integrated health data and optimum approaches to reduce healthcare errors and improve decision-making. 

Clinical decision assistance applications are increasing rapidly due to the adoption of digital health technologies, focus on patient safety, advancements in healthcare infrastructure, strong regulatory frameworks supporting innovation and data privacy, and the development of specialized and patient-centric CDS Solutions. Establishing clear data-sharing policies, fostering interoperable electronic health records, and funding for digital health advances are crucial. These efforts are expected to improve the use of clinical decision support systems globally. However, data privacy and security concerns and inadequate interoperability for patient management solutions are expected to hinder market growth.

Competitive Landscape

The key players operating in the clinical decision support app market:

  • Epic
  • Cerner
  • Athenahealth
  • NextGen Healthcare
  • Evident Health
  • eClinicalWorks
  • DrChrono
  • McKesson
  • Wolters Kluwer
  • IBM Watson Health
  • Nuance
  • Philips
  • GE Healthcare
  • Siemens Healthineers
  • Eclipsys Solutions (NTT DATA).

Market Segmentation:

The clinical decision support app market is segmented based on delivery platform, end user, and application. Based on the delivery platform, the market is segmented as web-based CDS apps and mobile-based CDS apps. By end user, the market is segmented into hospitals and clinics, ambulatory care centres, long-term care facilities and others. The market is segmented by application into diagnostic support, treatment decision support, drug interactions, and safety.

Based On Application, The Drug Interactions And Safety Segment Is A Major Contributor To The Clinical Decision Support App Market.

The drug interactions and safety category is expected to hold a major share of the global clinical decision support app market in 2024. Drug allergy warnings are crucial interventions because limiting adverse drug reactions (ADRs) and allergic responses to drugs might harm patient well-being. Healthcare facilities strive to safeguard the well-being and security of their patients and hence rely on CDSS, which offers effective drug allergy warning features that may mitigate the risk of medication-related injury. Moreover, drug allergy continues to be a common phenomenon since it is observed that over 33% of patients have some allergic response to medications.

The Web-Based CDS Apps Segment To Witness Growth At A Rapid Rate

The web-based CDS apps segment is projected to grow at a rapid pace in the global clinical decision support app market due to its accessibility and scalability. These can be accessed from any device with internet access, are easy to update and maintain, and are integrated with other web-based systems. Thus, HCPs can access critical selection support equipment and individual information, facilitating seamless collaboration, faraway consultations, and continuity of care.

The North American Clinical Decision Support App Market Holds A Significant Regional Revenue Share.

The North American clinical decision support apps market is leading the way, mainly because of the substantial demand for healthcare IT solutions, the presence of key players, rising significant investments in HCIT solutions, and the focus on providing high-quality healthcare services. In addition, the Asia Pacific region is estimated to grow rapidly in the clinical decision support apps market. The expansion is propelled by a vast population base and rising investments in healthcare, AI, analytics, and healthcare innovation, as well as healthcare providers' adoption of CDS apps to improve diagnostic accuracy and provide personalized patient care.

Recent Developments:

  • In June 2024, DocMode unveiled AIDE, an AI-driven clinical decision support system (CDSS) designed to assist doctors in decision-making. This development highlights the growing importance of AI-powered CDSS in the medical field, a vital aspect of the clinical decision support apps market.
  • In March 2024, Wolters Kluwer unveiled the next generation of CDS solutions, combining point-of-care decision support, workflow optimization, patient-centred care, and enterprise decision-making into a unified user experience.

Clinical Decision Support Apps Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 26.37 Bn

Revenue Forecast In 2031

USD 40.56 Bn

Growth Rate CAGR

CAGR of 5.66 % from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Delivery Platform, End-users, Applications,

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Epic, Cerner, Athenahealth, NextGen Healthcare, Evident Health, eClinicalWorks, DrChrono, McKesson, Wolters Kluwer, IBM Watson Health, Nuance, Philips, GE Healthcare, Siemens Healthineers, and Eclipsys Solutions (NTT DATA)

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Clinical Decision Support Market Snapshot

Chapter 4. Global Clinical Decision Support Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Delivery Platform Estimates & Trend Analysis
5.1. By Delivery Platform & Market Share, 2023 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Delivery Platform:

5.2.1. Web-Based CDS Apps
5.2.2. Mobile-Based CDS Apps

Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis
6.1. By Application & Market Share, 2023 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Application:

6.2.1. Diagnostic Support
6.2.2. Treatment Decision Support
6.2.3. Drug Interactions and Safety
6.2.4. Others

Chapter 7. Market Segmentation 3: By End-User Estimates & Trend Analysis
7.1. By End-User & Market Share, 2023 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By End-User:

7.2.1. Hospitals and Clinics
7.2.2. Ambulatory Care Centers
7.2.3. Long-Term Care Facilities
7.2.4. Others

Chapter 8. Clinical Decision Support Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America
8.1.1. North America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Delivery Platform, 2024-2031
8.1.2. North America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.1.3. North America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
8.1.4. North America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.2. Europe
8.2.1. Europe Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Delivery Platform, 2024-2031
8.2.2. Europe Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.2.3. Europe Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
8.2.4. Europe Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.3. Asia Pacific
8.3.1. Asia Pacific Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Delivery Platform, 2024-2031
8.3.2. Asia Pacific Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.3.3. Asia Pacific Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
8.3.4. Asia Pacific Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.4. Latin America
8.4.1. Asia Pacific Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Delivery Platform, 2024-2031
8.4.2. Latin America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.4.3. Latin America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
8.4.4. Latin America Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.5. Middle East & Africa
8.5.1. Middle East & Africa Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Delivery Platform, 2024-2031
8.5.2. Middle East & Africa Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.5.3. Middle East & Africa Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
8.5.4. Middle East & Africa Clinical Decision Support Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles

9.2.1. Epic
9.2.2. Cerner
9.2.3. Athenahealth
9.2.4. NextGen Healthcare
9.2.5. Evident Health
9.2.6. eClinicalWorks
9.2.7. DrChrono
9.2.8. McKesson
9.2.9. Wolters Kluwer
9.2.10. IBM Watson Health
9.2.11. Nuance
9.2.12. Philips
9.2.13. GE Healthcare
9.2.14. Siemens Healthineers
9.2.15. Eclipsys Solutions (NTT DATA)
9.2.16. Other Prominent Players

 

Segmentation of Clinical Decision Support App Market-

By Delivery Platform -

  • Web-Based CDS Apps
  • Mobile-Based CDS Apps

clinical

By End User -

  • Hospitals and Clinics
  • Ambulatory Care Centers
  • Long-Term Care Facilities
  • Others

By Application-

  • Diagnostic Support
  • Treatment Decision Support
  • Drug Interactions and Safety
  • Others

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

 

user icon
office icon
mail icon
call icon

This website is secure, and we do not share your personal information with any third party. Privacy Policy

Need Customization
Need specific information/chapter from the report of the custom data table, graph or complete report? Tell us more.

Frequently Asked Questions

How big is the Clinical Decision Support App Market Size?

The Clinical Decision Support App Market is expected to grow at a 5.66% CAGR during the forecast period for 2024-2031.

Epic, Cerner, Athenahealth, NextGen Healthcare, Evident Health, eClinicalWorks, DrChrono, McKesson, Wolters Kluwer, IBM Watson Health, Nuance, Philips

Our Clients

  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo

Media Citations

  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo

Growth opportunities and latent adjacency in Healthcare IT

Select Licence Type
$4456
$7786
$10000
$1200
Get Your GTM Strategy

Navigate market entry with channel selection, launch strategy & timeline, and pricing model support.

Equip yourself with the insights needed to develop a winning go-to-market strategy

Get real-time updates and joint control over project direction with our collaborative approach