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Report
Clinical Decision Support Systems Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2030
Market Report I 2023-10-11 I 350 Pages I Infinium Global Research and Consulting Solutions
The report on the global clinical decision support systems market provides qualitative and quantitative analysis for the period from 2021-2030. The global clinical decision support systems market was valued at USD 4.43 billion in 2022 and is expected to reach USD 10.97 billion in 2030, with a CAGR of 10.42% during the forecast period 2023-2030. The study on clinical decision support systems market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2021-2030.
Clinical Decision Support Systems (CDSS) is a segment of the healthcare industry, encompassing the development and deployment of sophisticated digital tools and software solutions. These solutions are purpose-built to aid healthcare professionals in making well-informed clinical decisions. CDSS harnesses the power of data analysis, medical expertise, and algorithms to deliver real-time recommendations, alerts, and insights to clinicians, ultimately enhancing patient care quality and safety. They play a pivotal role in elevating the overall quality of healthcare delivery, reducing medical errors, and optimizing resource utilization within healthcare facilities. The scope of CDSS is continually evolving as technology advances and healthcare practices adapt to changing needs. As a result, CDSS plays a crucial role in improving patient care, reducing medical errors, enhancing clinical efficiency, and supporting evidence-based medicine. Its potential to positively impact healthcare delivery and patient outcomes makes it an integral part of modern healthcare systems.
The growth of the CDSS market is being driven by advancements in Artificial Intelligence (AI) and Machine Learning (ML). These transformative technologies are augmenting the capabilities of CDSS by enabling the analysis of extensive healthcare data, thereby furnishing more personalized and predictive recommendations. Furthermore, the integration of CDSS with Electronic Health Record (EHR) systems is becoming increasingly seamless. This integration facilitates immediate access to patient data and clinical decision support at the point of care, rendering it an indispensable tool for healthcare providers. However, the high installation costs associated with CDSS solutions pose a challenge to market growth. Nevertheless, despite these challenges, recent developments such as the emergence of cloud computing and a substantial surge in the adoption of various forms of CDSS by hospitals and healthcare facilities offer promising growth prospects in the near future. Moreover, the increasing initiatives undertaken by governments, aimed at reforming the healthcare sector, are anticipated to create fresh opportunities for the market in the coming years.
In terms of geographical distribution, North America is poised to command a dominant share in the forthcoming forecast period. This is primarily due to the well-established and advanced healthcare infrastructure in North America, particularly in the United States and Canada. The region boasts a substantial number of hospitals, clinics, and healthcare facilities that are readily capable of adopting and seamlessly integrating CDSS into their operational workflows. Furthermore, North America stands as a global epicenter for technology innovation, continually producing cutting-edge healthcare technologies. North American companies and research institutions are at the forefront of CDSS solution development, capitalizing on the latest breakthroughs in artificial intelligence, machine learning, and data analytics. Additionally, the robust regulatory frameworks in North America governing healthcare technologies, including CDSS, provide a clear and compliant pathway for CDSS developers, instilling confidence within the market. Meanwhile, in Asia-Pacific, the CDSS market is experiencing the fastest growth. Several countries in the APAC region are observing an upswing in healthcare expenditure, driven by both government and private investments aimed at enhancing patient care and healthcare outcomes. These investments encompass the adoption of CDSS solutions. The APAC region's CDSS market benefits from various factors, including increasing healthcare investments, a rising demand for advanced healthcare solutions, strong government support, and the region's technological capabilities, positioning it as a fertile ground for substantial CDSS market expansion.
Report Findings
1) Drivers
- The growth of the CDSS market is being driven by advancements in Artificial Intelligence (AI) and Machine Learning (ML).
- Surging demand for Electronic Health Records (EHR) integration fuels the market growth.
2) Restraints
- The high installation costs associated with CDSS solutions pose a challenge to market growth.
3) Opportunities
- The increasing initiatives undertaken by governments, aimed at reforming the healthcare sector, are anticipated to create fresh opportunities for the market in the coming years.
Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from the industry
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segment Covered
The global clinical decision support systems market is segmented on the basis of system, mode of advice, application, delivery model, and end-use.
The Global Clinical Decision Support Systems Market by System
- Knowledge-based Systems
- Expert Laboratory Information System
- Machine Learning Systems
The Global Clinical Decision Support Systems Market by Mode of Advice
- Passive CDSS
- Active CDSS
The Global Clinical Decision Support Systems Market by Application
- Drug Databases
- Care Plans
- Disease Reference
- Others
The Global Clinical Decision Support Systems Market by Delivery Model
- On-premise
- Web-based
- Cloud-based
The Global Clinical Decision Support Systems Market by End-use
- Diagnostic Centers
- Hospitals
- Clinics
- Retail Pharmacy
- Diagnostic Decision Support
Company Profiles
The companies covered in the report include
- MCKESSON CORPORATION
- Koninklijke Philips N.V.
- Oracle Cerner
- Siemens Healthcare GmbH
- Wolters Kluwer N.V.
- Hearst Communications, Inc.
- Elsevier
- Medical Information Technology, Inc.
- NextGen Healthcare, Inc.
- Epic Systems Corporation
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the clinical decision support systems market.
2. Complete coverage of all the segments in the clinical decision support systems market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global clinical decision support systems market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
Table of Content
Chapter 1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
Chapter 2. Executive Summary
2.1. Clinical Decision Support Systems Market Highlights
2.2. Clinical Decision Support Systems Market Projection
2.3. Clinical Decision Support Systems Market Regional Highlights
Chapter 3. Global Clinical Decision Support Systems Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Porter's Five Forces Analysis
3.4. IGR-Growth Matrix Analysis
3.4.1. IGR-Growth Matrix Analysis by System
3.4.2. IGR-Growth Matrix Analysis by Mode of Advice
3.4.3. IGR-Growth Matrix Analysis by Application
3.4.4. IGR-Growth Matrix Analysis by Delivery Model
3.4.5. IGR-Growth Matrix Analysis by End-use
3.4.6. IGR-Growth Matrix Analysis by Region
3.5. Value Chain Analysis of Clinical Decision Support Systems Market
Chapter 4. Clinical Decision Support Systems Market Macro Indicator Analysis
Chapter 5. Company Profiles and Competitive Landscape
5.1. Competitive Landscape in the Global Clinical Decision Support Systems Market
5.2. Companies Profiles
5.2.1. MCKESSON CORPORATION
5.2.2. Koninklijke Philips N.V.
5.2.3. Oracle Cerner
5.2.4. Siemens Healthcare GmbH
5.2.5. Wolters Kluwer N.V.
5.2.6. Hearst Communications, Inc.
5.2.7. Elsevier
5.2.8. Medical Information Technology, Inc.
5.2.9. NextGen Healthcare, Inc.
5.2.10. Epic Systems Corporation
Chapter 6. Global Clinical Decision Support Systems Market by System
6.1. Knowledge-based Systems
6.2. Expert Laboratory Information System
6.3. Machine Learning Systems
Chapter 7. Global Clinical Decision Support Systems Market by Mode of Advice
7.1. Passive CDSS
7.2. Active CDSS
Chapter 8. Global Clinical Decision Support Systems Market by Application
8.1. Drug Databases
8.2. Care Plans
8.3. Disease Reference
8.4. Others
Chapter 9. Global Clinical Decision Support Systems Market by Delivery Model
9.1. On-premise
9.2. Web-based
9.3. Cloud-based
Chapter 10. Global Clinical Decision Support Systems Market by End-use
10.1. Diagnostic Centers
10.2. Hospitals
10.3. Clinics
10.4. Retail Pharmacy
10.5. Diagnostic Decision Support
Chapter 11. Global Clinical Decision Support Systems Market by Region 2023-2030
11.1. North America
11.1.1. North America Clinical Decision Support Systems Market by System
11.1.2. North America Clinical Decision Support Systems Market by Mode of Advice
11.1.3. North America Clinical Decision Support Systems Market by Application
11.1.4. North America Clinical Decision Support Systems Market by Delivery Model
11.1.5. North America Clinical Decision Support Systems Market by End-use
11.1.6. North America Clinical Decision Support Systems Market by Country
11.1.6.1. The U.S. Clinical Decision Support Systems Market
11.1.6.1.1. The U.S. Clinical Decision Support Systems Market by System
11.1.6.1.2. The U.S. Clinical Decision Support Systems Market by Mode of Advice
11.1.6.1.3. The U.S. Clinical Decision Support Systems Market by Application
11.1.6.1.4. The U.S. Clinical Decision Support Systems Market by Delivery Model
11.1.6.1.5. The U.S. Clinical Decision Support Systems Market by End-use
11.1.6.2. Canada Clinical Decision Support Systems Market
11.1.6.2.1. Canada Clinical Decision Support Systems Market by System
11.1.6.2.2. Canada Clinical Decision Support Systems Market by Mode of Advice
11.1.6.2.3. Canada Clinical Decision Support Systems Market by Application
11.1.6.2.4. Canada Clinical Decision Support Systems Market by Delivery Model
11.1.6.2.5. Canada Clinical Decision Support Systems Market by End-use
11.1.6.3. Mexico Clinical Decision Support Systems Market
11.1.6.3.1. Mexico Clinical Decision Support Systems Market by System
11.1.6.3.2. Mexico Clinical Decision Support Systems Market by Mode of Advice
11.1.6.3.3. Mexico Clinical Decision Support Systems Market by Application
11.1.6.3.4. Mexico Clinical Decision Support Systems Market by Delivery Model
11.1.6.3.5. Mexico Clinical Decision Support Systems Market by End-use
11.2. Europe
11.2.1. Europe Clinical Decision Support Systems Market by System
11.2.2. Europe Clinical Decision Support Systems Market by Mode of Advice
11.2.3. Europe Clinical Decision Support Systems Market by Application
11.2.4. Europe Clinical Decision Support Systems Market by Delivery Model
11.2.5. Europe Clinical Decision Support Systems Market by End-use
11.2.6. Europe Clinical Decision Support Systems Market by Country
11.2.6.1. Germany Clinical Decision Support Systems Market
11.2.6.1.1. Germany Clinical Decision Support Systems Market by System
11.2.6.1.2. Germany Clinical Decision Support Systems Market by Mode of Advice
11.2.6.1.3. Germany Clinical Decision Support Systems Market by Application
11.2.6.1.4. Germany Clinical Decision Support Systems Market by Delivery Model
11.2.6.1.5. Germany Clinical Decision Support Systems Market by End-use
11.2.6.2. United Kingdom Clinical Decision Support Systems Market
11.2.6.2.1. United Kingdom Clinical Decision Support Systems Market by System
11.2.6.2.2. United Kingdom Clinical Decision Support Systems Market by Mode of Advice
11.2.6.2.3. United Kingdom Clinical Decision Support Systems Market by Application
11.2.6.2.4. United Kingdom Clinical Decision Support Systems Market by Delivery Model
11.2.6.2.5. United Kingdom Clinical Decision Support Systems Market by End-use
11.2.6.3. France Clinical Decision Support Systems Market
11.2.6.3.1. France Clinical Decision Support Systems Market by System
11.2.6.3.2. France Clinical Decision Support Systems Market by Mode of Advice
11.2.6.3.3. France Clinical Decision Support Systems Market by Application
11.2.6.3.4. France Clinical Decision Support Systems Market by Delivery Model
11.2.6.3.5. France Clinical Decision Support Systems Market by End-use
11.2.6.4. Italy Clinical Decision Support Systems Market
11.2.6.4.1. Italy Clinical Decision Support Systems Market by System
11.2.6.4.2. Italy Clinical Decision Support Systems Market by Mode of Advice
11.2.6.4.3. Italy Clinical Decision Support Systems Market by Application
11.2.6.4.4. Italy Clinical Decision Support Systems Market by Delivery Model
11.2.6.4.5. Italy Clinical Decision Support Systems Market by End-use
11.2.6.5. Rest of Europe Clinical Decision Support Systems Market
11.2.6.5.1. Rest of Europe Clinical Decision Support Systems Market by System
11.2.6.5.2. Rest of Europe Clinical Decision Support Systems Market by Mode of Advice
11.2.6.5.3. Rest of Europe Clinical Decision Support Systems Market by Application
11.2.6.5.4. Rest of Europe Clinical Decision Support Systems Market by Delivery Model
11.2.6.5.5. Rest of Europe Clinical Decision Support Systems Market by End-use
11.3. Asia Pacific
11.3.1. Asia Pacific Clinical Decision Support Systems Market by System
11.3.2. Asia Pacific Clinical Decision Support Systems Market by Mode of Advice
11.3.3. Asia Pacific Clinical Decision Support Systems Market by Application
11.3.4. Asia Pacific Clinical Decision Support Systems Market by Delivery Model
11.3.5. Asia Pacific Clinical Decision Support Systems Market by End-use
11.3.6. Asia Pacific Clinical Decision Support Systems Market by Country
11.3.6.1. China Clinical Decision Support Systems Market
11.3.6.1.1. China Clinical Decision Support Systems Market by System
11.3.6.1.2. China Clinical Decision Support Systems Market by Mode of Advice
11.3.6.1.3. China Clinical Decision Support Systems Market by Application
11.3.6.1.4. China Clinical Decision Support Systems Market by Delivery Model
11.3.6.1.5. China Clinical Decision Support Systems Market by End-use
11.3.6.2. Japan Clinical Decision Support Systems Market
11.3.6.2.1. Japan Clinical Decision Support Systems Market by System
11.3.6.2.2. Japan Clinical Decision Support Systems Market by Mode of Advice
11.3.6.2.3. Japan Clinical Decision Support Systems Market by Application
11.3.6.2.4. Japan Clinical Decision Support Systems Market by Delivery Model
11.3.6.2.5. Japan Clinical Decision Support Systems Market by End-use
11.3.6.3. India Clinical Decision Support Systems Market
11.3.6.3.1. India Clinical Decision Support Systems Market by System
11.3.6.3.2. India Clinical Decision Support Systems Market by Mode of Advice
11.3.6.3.3. India Clinical Decision Support Systems Market by Application
11.3.6.3.4. India Clinical Decision Support Systems Market by Delivery Model
11.3.6.3.5. India Clinical Decision Support Systems Market by End-use
11.3.6.4. South Korea Clinical Decision Support Systems Market
11.3.6.4.1. South Korea Clinical Decision Support Systems Market by System
11.3.6.4.2. South Korea Clinical Decision Support Systems Market by Mode of Advice
11.3.6.4.3. South Korea Clinical Decision Support Systems Market by Application
11.3.6.4.4. South Korea Clinical Decision Support Systems Market by Delivery Model
11.3.6.4.5. South Korea Clinical Decision Support Systems Market by End-use
11.3.6.5. Australia Clinical Decision Support Systems Market
11.3.6.5.1. Australia Clinical Decision Support Systems Market by System
11.3.6.5.2. Australia Clinical Decision Support Systems Market by Mode of Advice
11.3.6.5.3. Australia Clinical Decision Support Systems Market by Application
11.3.6.5.4. Australia Clinical Decision Support Systems Market by Delivery Model
11.3.6.5.5. Australia Clinical Decision Support Systems Market by End-use
11.3.6.6. Rest of Asia-Pacific Clinical Decision Support Systems Market
11.3.6.6.1. Rest of Asia-Pacific Clinical Decision Support Systems Market by System
11.3.6.6.2. Rest of Asia-Pacific Clinical Decision Support Systems Market by Mode of Advice
11.3.6.6.3. Rest of Asia-Pacific Clinical Decision Support Systems Market by Application
11.3.6.6.4. Rest of Asia-Pacific Clinical Decision Support Systems Market by Delivery Model
11.3.6.6.5. Rest of Asia-Pacific Clinical Decision Support Systems Market by End-use
11.4. RoW
11.4.1. RoW Clinical Decision Support Systems Market by System
11.4.2. RoW Clinical Decision Support Systems Market by Mode of Advice
11.4.3. RoW Clinical Decision Support Systems Market by Application
11.4.4. RoW Clinical Decision Support Systems Market by Delivery Model
11.4.5. RoW Clinical Decision Support Systems Market by End-use
11.4.6. RoW Clinical Decision Support Systems Market by Sub-region
11.4.6.1. Latin America Clinical Decision Support Systems Market
11.4.6.1.1. Latin America Clinical Decision Support Systems Market by System
11.4.6.1.2. Latin America Clinical Decision Support Systems Market by Mode of Advice
11.4.6.1.3. Latin America Clinical Decision Support Systems Market by Application
11.4.6.1.4. Latin America Clinical Decision Support Systems Market by Delivery Model
11.4.6.1.5. Latin America Clinical Decision Support Systems Market by End-use
11.4.6.2. Middle East Clinical Decision Support Systems Market
11.4.6.2.1. Middle East Clinical Decision Support Systems Market by System
11.4.6.2.2. Middle East Clinical Decision Support Systems Market by Mode of Advice
11.4.6.2.3. Middle East Clinical Decision Support Systems Market by Application
11.4.6.2.4. Middle East Clinical Decision Support Systems Market by Delivery Model
11.4.6.2.5. Middle East Clinical Decision Support Systems Market by End-use
11.4.6.3. Africa Clinical Decision Support Systems Market
11.4.6.3.1. Africa Clinical Decision Support Systems Market by System
11.4.6.3.2. Africa Clinical Decision Support Systems Market by Mode of Advice
11.4.6.3.3. Africa Clinical Decision Support Systems Market by Application
11.4.6.3.4. Africa Clinical Decision Support Systems Market by Delivery Model
11.4.6.3.5. Africa Clinical Decision Support Systems Market by End-use
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