Global Clinical Decision Support Systems (CDSS) Market

Report ID : 1374 | Published : 2022-09-29 | Pages: | Format: PDF/EXCEL

The market size of the global clinical decision support systems (CDSS) market in the year 2021 is valued at 1.83 billion and is predicted to reach 3.41 billion by the year 2030 at an 7.43% CAGR during the projected period.

A clinical decision support system (CDSS) integrates particular clinical knowledge, patient data, and other health data into medical decisions to improve healthcare delivery. Globally prevalent chronic diseases and advances in big data processing technology, such as machine learning and artificial intelligence (AI) to unearth critical insights, will likely propel this market's growth over the following years. As it demonstrates how healthcare teams can keep up to date on the newest COVID information and intelligence, helping to enhance the quality of the treatment they deliver, the clinical decision support system (CDSS) has emerged as an essential tool in the fight against COVID-19. Future expansion of the clinical decision support system (CDSS) market will be fueled by the rapid development of biotechnology and bioinformatics, stimulating enhancements and optimizations in data management, analytics, and storage systems. To avoid misdiagnosis during any medical procedure and achieve evidence-based clinical outcomes in the case of drug mistakes, doctors must be effective and efficient in their clinical decision-making, which will drive the market's growth in the upcoming years.

An essential concern with a cloud-based clinical decision support system (CDSS) is that data housed by the vendor is not as safe as data hosted on-premise. Patient information is regarded as very sensitive, and strict confidentiality must be maintained to ensure that this information is only accessible to authorized individuals. Although private clouds provide greater access protocols and systems, the healthcare business is skeptical of their efficacy. In large markets, a shortage of qualified and skilled workers limits the adoption and deployment of web-based and on-premise HCIT systems.

Market Segmentation:

The clinical decision support systems (CDSS) market is segmented on the basis of product, type, application, end-user, user interactivity, model, and delivery mode. Based on the product, the market is differentiated into integrated clinical decision support systems (CDSS) and standalone clinical decision support systems (CDSS). Based on the type, the market is differentiated into conventional and advanced. Based on the application, the market is differentiated into preventive care, diagnostics, follow-up management, and others (planning, implementation, etc.). Based on the end-user, the market is differentiated into hospitals and clinics, ambulatory surgical centres, and other end users (nursing homes, elderly care centres, etc.). Based on the level of interactivity, the market is differentiated into active clinical decision support system (CDSS) and passive clinical decision support system (CDSS). Based on the model, the market is differentiated into knowledge-based and non-knowledge-based. Based on the delivery mode, the market is segmented on-premise and cloud-based.

Based on the model, the Knowledge-based Clinical Decision Support System (CDSS) segment is accounted as a significant contributor to the clinical decision support systems (CDSS) market.

The knowledge-based CDSS segment held the largest market share during the forecast period. This segment's large share and high growth are achieved due to the various benefits of knowledge-based CDSS, such as helping clinicians with knowledge-based reasoning to make clinical decisions in the face of uncertainties. These systems are less error-prone than non-knowledge-based systems and may also be employed with healthcare processes.

The standalone Clinical Decision Support System (CDSS) System acquired the largest share in the forecasted period.

A standalone clinical decision support system (CDSS) has accumulated the most significant revenue share of the global market due to its advantages, including simplicity and low cost. The segment's expansion has also been aided by the ease of usage in clinical and medical settings. Clinical decision support system (CDSS)solutions can be used alone, in conjunction with an EHR, CPOE, or both. The integrated EHR with the clinical decision support system (CDSS) segment is anticipated to witness tremendous growth over the forecast period. When clinical decision support system (CDSS) systems are coupled with EHR, they give clinicians access to patient databases and histories, which they may use to recommend medications and offer therapeutic solutions, automating the clinical process. Clinical decision support systems (CDSS) and EHRs are frequently connected with each other to improve processes and make better use of existing data sets. The growing number of clinical decision support system (CDSS) features is estimated to boost the segment's growth when included in EHR systems.

In the region, the North American clinical decision support systems (CDSS) market holds a significant revenue share.

In the forecast period, the market in North America accounted for the biggest revenue share. One of the main factors propelling this region's market revenue growth is the development of information technology in the medical sector. The rapid expansion of the market for EHR-equipped clinical decision support systems (CDSS) in various healthcare applications is to blame. Governments in these nations are also investing in creating an automated healthcare environment that relies heavily on AI. Additionally, governments are initiating awareness campaigns for various cutting-edge clinical decision support system technologies and educating hospitals about the benefits and uses of clinical decision support systems (CDSS). The increased demand for healthcare information technology solutions in the medical industry boosted the market's growth. In addition, the rapid technological improvements, and the growing necessity of offering high-quality healthcare services, are driving the market growth in the region.

The clinical decision support system (CDSS) market in the North American region is estimated to increase rapidly during the forecast period due to the growing investment in R&D by the government of key economies to increase the in-depth knowledge of information technology in the medical field to streamline the data flow. In addition, the broadly extending technological advancements are the motivating factor for regional market growth in the upcoming years.

Competitive Landscape

The leading firms in the clinical decision support systems (CDSS) market have shifted their attention to advanced aspects of product manufacturing and are initiating effective strategies, such as mergers, acquisitions, and joint ventures of major and domestic players, to expand their product portfolios and broaden their global market presence.

Some of the major firms in the clinical decision support systems (CDSS) market are Allscripts Healthcare Solutions, Inc., Cerner Corporation, Change Healthcare, General Electric Company, International Business Machines Corporation, McKesson Corporation, RELX Group, Wolters Kluwer N.V., Epic Systems Corporation, Hearst Corporation, Inferscience, Inc., Medical Information Technology, Inc. (MEDITECH), Oncology Analytics, Inc., Persivia Inc., and VisualDx, CureMD Healthcare, RAMPmedical Henisaja GmbH, and The Medical Algorithms Company Limited.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Clinical Decision Support Systems (CDSS) Market Snapshot

Chapter 4. Global Clinical Decision Support Systems (CDSS) 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 Product Type Estimates & Trend Analysis

5.1. by Product Type & Market Share, 2019 & 2030

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Product Type:

5.2.1. Integrated

5.2.2. Standalone

Chapter 6. Market Segmentation 2: by Clinical Decision Support Systems (CDSS) Type Estimates & Trend Analysis

6.1. by Clinical Decision Support Systems (CDSS) Type & Market Share, 2019 & 2030

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Clinical Decision Support Systems (CDSS) Type:

6.2.1. Conventional

6.2.2. Advanced

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis

7.1. by Application & Market Share, 2019 & 2030

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Application:

7.2.1. Preventive Care

7.2.2. Diagnostics

7.2.3. Follow-Up Management

7.2.4. Others (Planning, Implementation, etc.)

Chapter 8. Market Segmentation 4: by End-user Estimates & Trend Analysis

8.1. by End-user & Market Share, 2019 & 2030

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by End-user:

8.2.1. Hospitals and Clinics

8.2.2. Ambulatory Surgical Centers

8.2.3. Other End Users (Nursing Homes, Elderly Care Centers, etc.)

Chapter 9. Market Segmentation 5: by User Interactivity Estimates & Trend Analysis

9.1. by User Interactivity & Market Share, 2019 & 2030

9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by User Interactivity:

9.2.1. Active Clinical Decision Support System (CDSS)

9.2.2. Passive Clinical Decision Support System (CDSS)

Chapter 10. Market Segmentation 6: by Model Estimates & Trend Analysis

10.1. by Model & Market Share, 2019 & 2030

10.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Model:

10.2.1. Knowledge-Based

10.2.2. Non-Knowledge Based

Chapter 11. Market Segmentation 7: by Delivery mode Estimates & Trend Analysis

11.1. by Delivery mode & Market Share, 2019 & 2030

11.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Delivery mode:

11.2.1. On-Premise Clinical Decision Support System (CDSS)

11.2.2. Cloud-Based Clinical Decision Support System (CDSS)

Chapter 12. Clinical Decision Support Systems (CDSS) Market Segmentation 8: Regional Estimates & Trend Analysis

12.1. North America

12.1.1. North America Clinical Decision Support Systems (CDSS) Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2022-2030

12.1.2. North America Clinical Decision Support Systems (CDSS) Market Revenue (US$ Million) Estimates and Forecasts by Clinical Decision Support Systems (CDSS) Type, 2022-2030

12.1.3. North America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Application, 2022-2030

12.1.4. North America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by End-user, 2022-2030

12.1.5. North America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by User Interactivity, 2022-2030

12.1.6. North America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Model, 2022-2030

12.1.7. xx Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Delivery Mode, 2022-2030

12.1.8. North America Clinical Decision Support Systems (CDSS) Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

12.2. Europe

12.2.1. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Product Type, 2022-2030

12.2.2. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Clinical Decision Support Systems (CDSS) Type, 2022-2030

12.2.3. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Application, 2022-2030

12.2.4. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by End-user, 2022-2030

12.2.5. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by User Interactivity, 2022-2030

12.2.6. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Model, 2022-2030

12.2.7. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Delivery Mode, 2022-2030

12.2.8. Europe Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by country, 2022-2030

12.3. Asia Pacific

12.3.1. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Product Type, 2022-2030

12.3.2. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Clinical Decision Support Systems (CDSS) Type, 2022-2030

12.3.3. Asia-Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Application, 2022-2030

12.3.4. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by End-user, 2022-2030

12.3.5. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by User Interactivity, 2022-2030

12.3.6. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Model, 2022-2030

12.3.7. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Delivery Mode, 2022-2030

12.3.8. Asia Pacific Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by country, 2022-2030

12.4. Latin America

12.4.1. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Product Type, 2022-2030

12.4.2. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Clinical Decision Support Systems (CDSS) Type, 2022-2030

12.4.3. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Application, 2022-2030

12.4.4. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by End-user, 2022-2030

12.4.5. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by User Interactivity, 2022-2030

12.4.6. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Model, 2022-2030

12.4.7. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Delivery Mode, 2022-2030

12.4.8. Latin America Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by country, 2022-2030

12.5. Middle East & Africa

12.5.1. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Product Type, 2022-2030

12.5.2. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Clinical Decision Support Systems (CDSS) Type, 2022-2030

12.5.3. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Application, 2022-2030

12.5.4. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by End-user, 2022-2030

12.5.5. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by User Interactivity, 2022-2030

12.5.6. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Model, 2022-2030

12.5.7. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by Delivery Mode, 2022-2030

12.5.8. Middle East & Africa Clinical Decision Support Systems (CDSS) Market revenue (US$ Million) by country, 2022-2030

Chapter 13. Competitive Landscape

13.1. Major Mergers and Acquisitions/Strategic Alliances

13.2. Company Profiles

13.2.1. Allscripts Healthcare Solutions, Inc.

13.2.2. Cerner Corporation

13.2.3. Change Healthcare

13.2.4. General Electric Company

13.2.5. International Business Machines Corporation

13.2.6. McKesson Corporation

13.2.7. RELX Group

13.2.8. Wolters Kluwer N.V.

13.2.9. Epic Systems Corporation

13.2.10. Hearst Corporation

13.2.11. Inferscience, Inc.

13.2.12. Medical Information Technology, Inc. (MEDITECH)

13.2.13. Oncology Analytics, Inc.

13.2.14. Persivia Inc.

13.2.15. VisualDx.

13.2.16. CureMD Healthcare

13.2.17. RAMPmedical Henisaja GmbH

13.2.18. The Medical Algorithms Company Limited

13.2.19. Other Prominent Players

By Product Type-

  • Integrated
  • Standalone

By Clinical Decision Support System (CDSS) Type-

  • Conventional
  • Advanced

By Application-

  • Preventive Care
  • Diagnostics
  • Follow-Up Management
  • Others (Planning, Implementation, etc.)

By End User-

  • Hospitals and Clinics
  • Ambulatory Surgical Centers
  • Other End Users (Nursing Homes, Elderly Care Centers, etc.)

By User Interactivity-

  • Active Clinical Decision Support System (CDSS)
  • Passive Clinical Decision Support System (CDSS)

By Model-

  • Knowledge-Based
  • Non-Knowledge Based

By Delivery mode-

  • On-Premise Clinical Decision Support System (CDSS)
  • Cloud-Based Clinical Decision Support System (CDSS)

By Region-

  • North America-
  • US
  • Canada
  • Mexico
  • Europe-
  • Germany
  • 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 the 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.

To know more about the research methodology used for this study, kindly contact us/click here.

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