Clinical Decision Support Systems Market Outlook

[333 Pages Report] The global clinical decision support systems market is projected to have a moderate-paced CAGR of 10.4% during the forecast period. The current valuation of the clinical decision support systems market is US$ 5.46 Bn in 2023. The value of the clinical decision support systems market is anticipated to reach a high of US$ 14.69 Bn by the year 2033.

This growth in the sales of clinical decision support systems is supported by the following:

  • Growing need for high-caliber medical treatment and dependable technological integration.
  • An uptick in the adoption of information clinical decision support solutions by hospitals and healthcare institutes
  • Supportive measures taken by several governments across the globe
  • Increasing global frequency of chronic diseases

Don't pay for what you don't need

Customize your report by selecting specific countries or regions and save 30%!

The Growth of Cloud Based CDSS

The growth of the cloud-based sector of the market is being fuelled primarily by rising healthcare costs and the widespread use of cloud computing. Governments across Europe are taking steps to encourage the expansion of healthcare IT. For instance, in February 2021, nearly two million National Health Services (NHS) mail mailboxes were migrated to Exchange Online, which is a part of Microsoft's Azure Cloud, as part of the UK government's aim to embrace a fully linked cloud-driven health service. Staff across NHS organizations and departments is expected to be able to communicate with one another more effectively and have easier access to relevant data as a result of this. Because of this, the need for HCIT Change Management services in the United Kingdom is likely to rise, driving the industry forward.

Additionally, clinical decision support solutions that rely on local knowledge management may incur substantial running expenses due to the large amounts of processing power and storage space that may be required. Unlike locally hosted apps, cloud-based ones are hosted on remote servers and don't necessitate a lot of processing power or storage space on the user's end.

By design, cloud-based apps are more secure than their web-based counterparts since they don't rely on browsers. The processing nodes of cloud-based clinical decision support solutions reside on distant servers, which may be in several different data centres across the world. Over the forecast period, cloud-based CDSS adoption is likely to rise in tandem with the proliferation of cloud technologies due to their many advantages.

Attributes Details
Market Value (2023) US$ 5.46 Billion
Market Value (2033) US$ 14.69 Billion
CAGR 10.4%

Key Drivers and Restraints for the Clinical Decision Support Systems Market

Increasing technological sophistication and the growing influence of social media.

Another developing pattern in CDSS products is providing access to many media outlets. For instance, social media data acquired for patients with chronic diseases have been included in the cloud-based Smart Clinical Decision Support System (Smart CDSS) established by independent researchers. This information is combined with clinical observations from actual patient experiences. Patient health, mood, and hobbies are tracked through their social media activity by the system. It gathers patient-specific information from Twitter, e-mail analysis, and other social media platforms by mining for keywords, concepts, and feelings. As a result, doctors are better able to make treatment decisions based on the individual patient's behaviour and way of life. The data is then used by the Smart CDSS to make personalised suggestions for each individual patient.

Problems with cloud based CDSS data security

Data hosted by the vendor is not as secure as on-premises data, which is a big problem with cloud-based CDSS. The confidentiality of patient records is of the utmost importance to ensure that data is only accessed by those who have a legitimate need to know. Data privacy regulations regulated under HIPAA, for example, are constantly under review by legal frameworks (Health Insurance Portability and Accountability Act). The EU Data Protection Regulation also has ramifications for the security of personal health information in the European Union. The healthcare business is uncertain about the efficacy of private clouds, despite their offering of additional access methods and health information technology systems.

A severe lack of competent information technology specialists is plaguing the healthcare sector.

Strong IT infrastructure and support, both inside the company and from the solution vendor, are required for the effective use of healthcare IT solutions. It is essential for a healthcare business to have reliable technical assistance in order to keep its server and network running smoothly, which is essential for clinical workflows and healthcare IT system interface performance. Poor server or network maintenance can cause screen loads, which in turn can impede down clinical workflow. Adoption and deployment of health information technology systems, whether cloud-based or installed on-premises, are hampered by a lack of educated and qualified labor in key markets.

Sabyasachi Ghosh
Sabyasachi Ghosh

Principal Consultant

Talk to Analyst

Find your sweet spots for generating winning opportunities in this market.

Category-wise Insights

By Product

In 2021, standalone CDSS had more than 31.00% of the market because of its widespread adoption, low cost, and ease of use. As a result of its superior usability in healthcare facilities, it has taken the lead in most of these applications. Throughout the anticipated time frame, the solo subsegment is expected to maintain its dominant position. CDSS solutions can function alone or can be integrated with an electronic health record system or computerized provider order entry system.

By 2030, the market for integrated EHR and CDSS is expected to have grown substantially. The percentage of CDSS that is integrated with EHR is likely to change as more and more multi-specialty healthcare units become familiar with and use EHR. These health information technology systems collect patient data and send it to a clinical decision support system (CDSS), which then automates the clinical workflow by providing the doctor with clinical solutions and prescription recommendations. Integration between CDSS and EHRs is commonplace to facilitate the utilization of existing data sets and improve efficiency. The increasing integration of CDSS features into EHR systems is a factor that bodes well for the development of this market.

By Application

In 2021, drug allergy alerts had more than 26.0% share of the market. Since many people have life-threatening reactions to even the smallest amounts of some medications, it's crucial to have early warning systems in place. Allergies, especially those to medication, are becoming more of a problem. Accidental pharmaceutical administration to a patient with a known allergy, for example, is an example of a medicine error that can have serious consequences at any stage of the drug's life cycle.

During the foreseeable future, the market for clinical guidelines should expand at a profitable rate. The CDS provides recommendations for both diagnosis and treatment. It accesses information stored in a database and applies it to patient care, giving the doctor or nurse specific instructions to follow when they provide treatment.

Regional Insights

United States

Market Value (2023) US$ 5.92 Billion
Market Value (2033) US$ 14.41 Billion
CAGR 9.3%

USA market is expected to reach a valuation of US$ 14.41 Billion by 2033 from US$ 5.92 Bn in 2023. The growth rate is likely to be 9.3%.

One of the key factors in the region's rising market revenue is the development of information technology in the medical sector. The use of electronic health record (EHR)-equipped clinical decision support system platforms is expected to rise in the United States throughout the healthcare industry in the next years, as reported by the Office of the National Coordinator for Health Information Technology (ONC). A rise in adoption can be seen in areas such as pediatric healthcare (68%) and specialty industries (43%). The increasing need for CDSS that integrates with electronic health records is driving the market expansion in this area. This region's governments are likewise making investments in an automated healthcare environment powered by AI.

Furthermore, governments are implementing programmes to raise awareness among hospitals of the uses and benefits of CDSS, as well as the wide range of innovative CDSS technologies currently available. For instance, the U.S. Centers for Medicare & Medicaid Services (CMS) announced on November 18, 2020, that it would offer incentives to doctors who use certain clinical decision-support devices when making a diagnosis. Incentives for the use of Viz.ai's ContaCT and Digital Diagnostics' IDX-DR have been announced by CMS. There has been a rise in market revenue in this area thanks to these strategic activities.

Europe

In 2021, Europe remained a reliable source of revenue. The clinical decision support system market is growing as a result of rising investments in the digitalization and automation of healthcare services. UK-based NHS provider Global Digital Exemplar reports that the government of the United Kingdom invested GBP 395 million to facilitate greater integration of clinical decision support solutions across the healthcare sector. Clinical decision systems in healthcare that are integrated with artificial intelligence have been established with funding from the governments of France (EUR 500 million) and Germany (EUR 3.4 billion). It is anticipated that these funds would be used to enhance Europe's clinical decision support system platform's information technology infrastructure and related services.

Demand for clinical decision support system hardware is growing in this area for several reasons, including the region's growing elderly population. European Union (EU) estimates suggest that by 2021, one in five Europeans is expected to be 65 or older. The percentage of the EU's population that is 80 or older is projected to rise from 6% in 2021 to 14.6% in 2100. Moreover, an aging population means an increase in patient load, which should boost demand for clinical decision support systems in the future.

Japan

High rates of medication errors, the rising popularity of big data and mobile health applications, the rising adoption of cloud computing in healthcare, rising returns on investment for CDSS solutions, and collaborations between clinical decision support businesses and medical research organisations are the primary factors propelling the CDSS market. However, the industry could be hampered by skepticism about mobile CDSS, worries about cloud-based CDSS's security, the need for costly IT infrastructure, and a lack of interoperability. Increases in healthcare IT solution innovation and the emergence of new healthcare IT markets present promising prospects.

China

Significant clinical decision support systems market revenue growth in this region is being driven by an increase in the number of patients and an increase in the need for AI-enabled automated equipment. There has been a recent uptick in the number of healthcare and IT company mergers, which bodes well for the market's future revenue growth. Elsevier and Gramin Health Care launched their artificial intelligence (AI)-powered platform ClinicalPath Primary Care India in the fall of 2021. A clinical decision support tool, it automates clinical guidelines for antenatal care, allowing for more individualized care for mothers experiencing complications during pregnancy. Additionally, it gives first responders in the field of mother and infant health access to automated medical prescriptions and counseling.

Get the data you need at a Fraction of the cost

Personalize your report by choosing insights you need
and save 40%!

Start-up Ecosystem

New Entrants to Foster Innovation in the Global Market

The startups in the clinical decision support systems market are adding a new edge to the properties of excavators by curating innovations beyond the imagination. They are continually upgrading the Clinical Decision Support Systems with advanced technology, and manufacturers and sellers are continuously attempting to reduce costs for greater accessibility to the market share. Startup firms are triggering the expansion of the clinical decision support systems market with their unique attempts.

Top startups operating in the market are:

Name Description
DXS International As a clinical decision support provider, DXS International has been serving the primary care and retail pharmacy industries. A Clinical Decision Support System, DXS Point-of-Care (DXS PoC) (CDSS). Best Triage is a triage management solution that helps prioritise patients for medical treatment based on the severity of the condition or injury and acts as a referral peer review platform; Best Script is a medicine database; and Best Pathways is a care protocol that includes NHS Best Evidence guidance for each stage of the management of a patient with a specific condition. DXS Directory-of-Services (DoS) is an up-to-date resource for primary care physicians and nurses looking for referral information.
Agathos Clinicians' decision-making software. The company's web interface and analytics platform compile a wide range of clinical, claims, and economic data; define objectives by blending external standards with administrator and physician incentives; deliver timely, relevant, and actionable insights to physicians; and modify content to maximise user engagement and the attainment of objectives. Most of the the company's income comes from monthly subscription fees charged to doctors by system administrators for using the software as a service.

Competitive Landscape

As with many industries, competition in the global demand for clinical decision support systems is fierce. Market leaders include companies like McKesson, Philips, Wolters Kluwer, Cerner, Siemens, and Wolters Kluwer NU. To differentiate themselves from the competition, these companies create new products, develop improved versions of existing ones, merge with others, and form strategic alliances.

To give one specific example, in April 2021, Change Healthcare introduced InterQual 2021, the latest edition of the company's main CDS product. New guidelines for COVID-19 patients, consideration of socioeconomic determinants of health, and appropriate telehealth use are just a few of the evidence-based content updates and additions that accompany this release's four novel Medicare criterion elements.

In addition, a CDSS for the detection of COVID-19 was announced to be developed in collaboration with DHIndia, EHRC@IIITB, and Healthelife in May 2020. The collaboration also resulted in the development of a basic triage program for use by emergency room physicians.

Market leaders in clinical decision support systems worldwide include:

Key Segments in the Clinical Decision Support Systems Market

Product:

  • Integrated CPOE with CDSS
  • Integrated EHR with CDSS
  • Standalone CDSS
  • Integrated CDSS with CPOE & EHR

Application:

  • Drug allergy alerts
  • Drug-drug interactions
  • Clinical reminders
  • Clinical guidelines
  • Drug dosing support
  • Others

Delivery Mode:

  • Web-based Systems
  • Cloud-based Systems
  • On -premises Systems

Component:

  • Hardware
  • Software
  • Services

By Region:

  • North America
  • Latin America
  • Asia Pacific
  • MEA
  • Europe

Frequently Asked Questions

What is the Growth Outlook for the Clinical Decision Support Systems Market?

The growth outlook for the Clinical Decision Support Systems market is predicted to advance at a CAGR of 10.4% from 2023 to 2033.

Which Region Leads the Clinical Decision Support Systems Market?

The North American region is anticipated to lead the Clinical Decision Support Systems market during the forecast period.

What is the market valuation of Clinical Decision Support Systems in 2023?

The market valuation of the Clinical Decision Support Systems market stands at US$ 5.46 Bn in 2023.

How much Growth Potential does Clinical Decision Support Systems hold?

The Clinical Decision Support Systems market is likely to hold a valuation of US$ 14.69 Bn by 2033.

Table of Content
1. Executive Summary
    1.1. Global Market Outlook
    1.2. Demand-side Trends
    1.3. Supply-side Trends
    1.4. Technology Roadmap Analysis
    1.5. Analysis and Recommendations
2. Market Overview
    2.1. Market Coverage / Taxonomy
    2.2. Market Definition / Scope / Limitations
3. Market Background
    3.1. Market Dynamics
        3.1.1. Drivers
        3.1.2. Restraints
        3.1.3. Opportunity
        3.1.4. Trends
    3.2. Scenario Forecast
        3.2.1. Demand in Optimistic Scenario
        3.2.2. Demand in Likely Scenario
        3.2.3. Demand in Conservative Scenario
    3.3. Opportunity Map Analysis
    3.4. Investment Feasibility Matrix
    3.5. PESTLE and Porter’s Analysis
    3.6. Regulatory Landscape
        3.6.1. By Key Regions
        3.6.2. By Key Countries
    3.7. Regional Parent Market Outlook
4. Global Market Analysis 2017-2021 and Forecast, 2022-2032
    4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021
    4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032
        4.2.1. Y-o-Y Growth Trend Analysis
        4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Product
    5.1. Introduction / Key Findings
    5.2. Historical Market Size Value (US$ Mn) Analysis By Product, 2017-2021
    5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Product, 2022-2032
        5.3.1. Standalone CDSS
        5.3.2. Integrated CPOE with CDSS
        5.3.3. Integrated E.H.R. with CDSS
        5.3.4. Integrated CDSS with CPOE & E.H.R.
    5.4. Y-o-Y Growth Trend Analysis By Product, 2017-2021
    5.5. Absolute $ Opportunity Analysis By Product, 2022-2032
6. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Application
    6.1. Introduction / Key Findings
    6.2. Historical Market Size Value (US$ Mn) Analysis By Application , 2017-2021
    6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Application , 2022-2032
        6.3.1. Drug-drug interactions
        6.3.2. Drug allergy alerts
        6.3.3. Clinical reminders
        6.3.4. Clinical guidelines
        6.3.5. Drug dosing support
        6.3.6. Others
    6.4. Y-o-Y Growth Trend Analysis By Application , 2017-2021
    6.5. Absolute $ Opportunity Analysis By Application , 2022-2032
7. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Delivery Mode
    7.1. Introduction / Key Findings
    7.2. Historical Market Size Value (US$ Mn) Analysis By Delivery Mode , 2017-2021
    7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Delivery Mode , 2022-2032
        7.3.1. Web Delivery
        7.3.2. Cloud Delivery
        7.3.3. On Premises Delivery
    7.4. Y-o-Y Growth Trend Analysis By Delivery Mode , 2017-2021
    7.5. Absolute $ Opportunity Analysis By Delivery Mode , 2022-2032
8. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Component
    8.1. Introduction / Key Findings
    8.2. Historical Market Size Value (US$ Mn) Analysis By Component , 2017-2021
    8.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Component , 2022-2032
        8.3.1. Hardware
        8.3.2. Software
        8.3.3. Services
    8.4. Y-o-Y Growth Trend Analysis By Component , 2017-2021
    8.5. Absolute $ Opportunity Analysis By Component , 2022-2032
9. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Region
    9.1. Introduction
    9.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021
    9.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032
        9.3.1. North America
        9.3.2. Latin America
        9.3.3. Europe
        9.3.4. South Asia
        9.3.5. East Asia
        9.3.6. Oceania
        9.3.7. MEA
    9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        10.2.1. By Country
            10.2.1.1. U.S.
            10.2.1.2. Canada
        10.2.2. By Product
        10.2.3. By Application
        10.2.4. By Delivery Mode
        10.2.5. By Component
    10.3. Market Attractiveness Analysis
        10.3.1. By Country
        10.3.2. By Product
        10.3.3. By Application
        10.3.4. By Delivery Mode
        10.3.5. By Component
    10.4. Key Takeaways
11. Latin America Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        11.2.1. By Country
            11.2.1.1. Brazil
            11.2.1.2. Mexico
            11.2.1.3. Rest of Latin America
        11.2.2. By Product
        11.2.3. By Application
        11.2.4. By Delivery Mode
        11.2.5. By Component
    11.3. Market Attractiveness Analysis
        11.3.1. By Country
        11.3.2. By Product
        11.3.3. By Application
        11.3.4. By Delivery Mode
        11.3.5. By Component
    11.4. Key Takeaways
12. Europe Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        12.2.1. By Country
            12.2.1.1. Germany
            12.2.1.2. U.K.
            12.2.1.3. France
            12.2.1.4. Spain
            12.2.1.5. Italy
            12.2.1.6. Rest of Europe
        12.2.2. By Product
        12.2.3. By Application
        12.2.4. By Delivery Mode
        12.2.5. By Component
    12.3. Market Attractiveness Analysis
        12.3.1. By Country
        12.3.2. By Product
        12.3.3. By Application
        12.3.4. By Delivery Mode
        12.3.5. By Component
    12.4. Key Takeaways
13. South Asia Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        13.2.1. By Country
            13.2.1.1. India
            13.2.1.2. Malaysia
            13.2.1.3. Singapore
            13.2.1.4. Thailand
            13.2.1.5. Rest of South Asia
        13.2.2. By Product
        13.2.3. By Application
        13.2.4. By Delivery Mode
        13.2.5. By Component
    13.3. Market Attractiveness Analysis
        13.3.1. By Country
        13.3.2. By Product
        13.3.3. By Application
        13.3.4. By Delivery Mode
        13.3.5. By Component
    13.4. Key Takeaways
14. East Asia Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        14.2.1. By Country
            14.2.1.1. China
            14.2.1.2. Japan
            14.2.1.3. South Korea
        14.2.2. By Product
        14.2.3. By Application
        14.2.4. By Delivery Mode
        14.2.5. By Component
    14.3. Market Attractiveness Analysis
        14.3.1. By Country
        14.3.2. By Product
        14.3.3. By Application
        14.3.4. By Delivery Mode
        14.3.5. By Component
    14.4. Key Takeaways
15. Oceania Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    15.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    15.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        15.2.1. By Country
            15.2.1.1. Australia
            15.2.1.2. New Zealand
        15.2.2. By Product
        15.2.3. By Application
        15.2.4. By Delivery Mode
        15.2.5. By Component
    15.3. Market Attractiveness Analysis
        15.3.1. By Country
        15.3.2. By Product
        15.3.3. By Application
        15.3.4. By Delivery Mode
        15.3.5. By Component
    15.4. Key Takeaways
16. MEA Market Analysis 2017-2021 and Forecast 2022-2032, By Country
    16.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
    16.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
        16.2.1. By Country
            16.2.1.1. GCC Countries
            16.2.1.2. South Africa
            16.2.1.3. Israel
            16.2.1.4. Rest of MEA
        16.2.2. By Product
        16.2.3. By Application
        16.2.4. By Delivery Mode
        16.2.5. By Component
    16.3. Market Attractiveness Analysis
        16.3.1. By Country
        16.3.2. By Product
        16.3.3. By Application
        16.3.4. By Delivery Mode
        16.3.5. By Component
    16.4. Key Takeaways
17. Key Countries Market Analysis
    17.1. U.S.
        17.1.1. Pricing Analysis
        17.1.2. Market Share Analysis, 2021
            17.1.2.1. By Product
            17.1.2.2. By Application
            17.1.2.3. By Delivery Mode
            17.1.2.4. By Component
    17.2. Canada
        17.2.1. Pricing Analysis
        17.2.2. Market Share Analysis, 2021
            17.2.2.1. By Product
            17.2.2.2. By Application
            17.2.2.3. By Delivery Mode
            17.2.2.4. By Component
    17.3. Brazil
        17.3.1. Pricing Analysis
        17.3.2. Market Share Analysis, 2021
            17.3.2.1. By Product
            17.3.2.2. By Application
            17.3.2.3. By Delivery Mode
            17.3.2.4. By Component
    17.4. Mexico
        17.4.1. Pricing Analysis
        17.4.2. Market Share Analysis, 2021
            17.4.2.1. By Product
            17.4.2.2. By Application
            17.4.2.3. By Delivery Mode
            17.4.2.4. By Component
    17.5. Germany
        17.5.1. Pricing Analysis
        17.5.2. Market Share Analysis, 2021
            17.5.2.1. By Product
            17.5.2.2. By Application
            17.5.2.3. By Delivery Mode
            17.5.2.4. By Component
    17.6. U.K.
        17.6.1. Pricing Analysis
        17.6.2. Market Share Analysis, 2021
            17.6.2.1. By Product
            17.6.2.2. By Application
            17.6.2.3. By Delivery Mode
            17.6.2.4. By Component
    17.7. France
        17.7.1. Pricing Analysis
        17.7.2. Market Share Analysis, 2021
            17.7.2.1. By Product
            17.7.2.2. By Application
            17.7.2.3. By Delivery Mode
            17.7.2.4. By Component
    17.8. Spain
        17.8.1. Pricing Analysis
        17.8.2. Market Share Analysis, 2021
            17.8.2.1. By Product
            17.8.2.2. By Application
            17.8.2.3. By Delivery Mode
            17.8.2.4. By Component
    17.9. Italy
        17.9.1. Pricing Analysis
        17.9.2. Market Share Analysis, 2021
            17.9.2.1. By Product
            17.9.2.2. By Application
            17.9.2.3. By Delivery Mode
            17.9.2.4. By Component
    17.10. India
        17.10.1. Pricing Analysis
        17.10.2. Market Share Analysis, 2021
            17.10.2.1. By Product
            17.10.2.2. By Application
            17.10.2.3. By Delivery Mode
            17.10.2.4. By Component
    17.11. Malaysia
        17.11.1. Pricing Analysis
        17.11.2. Market Share Analysis, 2021
            17.11.2.1. By Product
            17.11.2.2. By Application
            17.11.2.3. By Delivery Mode
            17.11.2.4. By Component
    17.12. Singapore
        17.12.1. Pricing Analysis
        17.12.2. Market Share Analysis, 2021
            17.12.2.1. By Product
            17.12.2.2. By Application
            17.12.2.3. By Delivery Mode
            17.12.2.4. By Component
    17.13. Thailand
        17.13.1. Pricing Analysis
        17.13.2. Market Share Analysis, 2021
            17.13.2.1. By Product
            17.13.2.2. By Application
            17.13.2.3. By Delivery Mode
            17.13.2.4. By Component
    17.14. China
        17.14.1. Pricing Analysis
        17.14.2. Market Share Analysis, 2021
            17.14.2.1. By Product
            17.14.2.2. By Application
            17.14.2.3. By Delivery Mode
            17.14.2.4. By Component
    17.15. Japan
        17.15.1. Pricing Analysis
        17.15.2. Market Share Analysis, 2021
            17.15.2.1. By Product
            17.15.2.2. By Application
            17.15.2.3. By Delivery Mode
            17.15.2.4. By Component
    17.16. South Korea
        17.16.1. Pricing Analysis
        17.16.2. Market Share Analysis, 2021
            17.16.2.1. By Product
            17.16.2.2. By Application
            17.16.2.3. By Delivery Mode
            17.16.2.4. By Component
    17.17. Australia
        17.17.1. Pricing Analysis
        17.17.2. Market Share Analysis, 2021
            17.17.2.1. By Product
            17.17.2.2. By Application
            17.17.2.3. By Delivery Mode
            17.17.2.4. By Component
    17.18. New Zealand
        17.18.1. Pricing Analysis
        17.18.2. Market Share Analysis, 2021
            17.18.2.1. By Product
            17.18.2.2. By Application
            17.18.2.3. By Delivery Mode
            17.18.2.4. By Component
    17.19. GCC Countries
        17.19.1. Pricing Analysis
        17.19.2. Market Share Analysis, 2021
            17.19.2.1. By Product
            17.19.2.2. By Application
            17.19.2.3. By Delivery Mode
            17.19.2.4. By Component
    17.20. South Africa
        17.20.1. Pricing Analysis
        17.20.2. Market Share Analysis, 2021
            17.20.2.1. By Product
            17.20.2.2. By Application
            17.20.2.3. By Delivery Mode
            17.20.2.4. By Component
    17.21. Israel
        17.21.1. Pricing Analysis
        17.21.2. Market Share Analysis, 2021
            17.21.2.1. By Product
            17.21.2.2. By Application
            17.21.2.3. By Delivery Mode
            17.21.2.4. By Component
18. Market Structure Analysis
    18.1. Competition Dashboard
    18.2. Competition Benchmarking
    18.3. Market Share Analysis of Top Players
        18.3.1. By Regional
        18.3.2. By Product
        18.3.3. By Application
        18.3.4. By Delivery Mode
        18.3.5. By Component
19. Competition Analysis
    19.1. Competition Deep Dive
        19.1.1. McKesson Corporation
            19.1.1.1. Overview
            19.1.1.2. Product Portfolio
            19.1.1.3. Profitability by Market Segments
            19.1.1.4. Sales Footprint
            19.1.1.5. Strategy Overview
                19.1.1.5.1. Marketing Strategy
        19.1.2. Cerner Corporation
            19.1.2.1. Overview
            19.1.2.2. Product Portfolio
            19.1.2.3. Profitability by Market Segments
            19.1.2.4. Sales Footprint
            19.1.2.5. Strategy Overview
                19.1.2.5.1. Marketing Strategy
        19.1.3. Siemens Healthineers GmbH
            19.1.3.1. Overview
            19.1.3.2. Product Portfolio
            19.1.3.3. Profitability by Market Segments
            19.1.3.4. Sales Footprint
            19.1.3.5. Strategy Overview
                19.1.3.5.1. Marketing Strategy
        19.1.4. Allscripts Healthcare, LLC
            19.1.4.1. Overview
            19.1.4.2. Product Portfolio
            19.1.4.3. Profitability by Market Segments
            19.1.4.4. Sales Footprint
            19.1.4.5. Strategy Overview
                19.1.4.5.1. Marketing Strategy
        19.1.5. athenahealth, Inc.
            19.1.5.1. Overview
            19.1.5.2. Product Portfolio
            19.1.5.3. Profitability by Market Segments
            19.1.5.4. Sales Footprint
            19.1.5.5. Strategy Overview
                19.1.5.5.1. Marketing Strategy
        19.1.6. NextGen Healthcare Inc.
            19.1.6.1. Overview
            19.1.6.2. Product Portfolio
            19.1.6.3. Profitability by Market Segments
            19.1.6.4. Sales Footprint
            19.1.6.5. Strategy Overview
                19.1.6.5.1. Marketing Strategy
        19.1.7. Koninklijke Philips N.V. (Royal Philips)
            19.1.7.1. Overview
            19.1.7.2. Product Portfolio
            19.1.7.3. Profitability by Market Segments
            19.1.7.4. Sales Footprint
            19.1.7.5. Strategy Overview
                19.1.7.5.1. Marketing Strategy
        19.1.8. IBM Corporation
            19.1.8.1. Overview
            19.1.8.2. Product Portfolio
            19.1.8.3. Profitability by Market Segments
            19.1.8.4. Sales Footprint
            19.1.8.5. Strategy Overview
                19.1.8.5.1. Marketing Strategy
        19.1.9. Agfa-Gevaert Group
            19.1.9.1. Overview
            19.1.9.2. Product Portfolio
            19.1.9.3. Profitability by Market Segments
            19.1.9.4. Sales Footprint
            19.1.9.5. Strategy Overview
                19.1.9.5.1. Marketing Strategy
        19.1.10. Wolters Kluwer N.V.
            19.1.10.1. Overview
            19.1.10.2. Product Portfolio
            19.1.10.3. Profitability by Market Segments
            19.1.10.4. Sales Footprint
            19.1.10.5. Strategy Overview
                19.1.10.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
Recommendations

Healthcare

AI-based Clinical Trials Solution Provider Market

June 2024

REP-GB-14947

250 pages

Explore Healthcare Insights

View Reports
Future Market Insights

Clinical Decision Support Systems Market

Schedule a Call