Covid-19 Impact on Clinical Trial Management (CTM) Market, Global Research Reports 2020-2021

SKU ID : QYR-15646690 | Publishing Date : 11-May-2020 | No. of pages : 100

Clinical trial management (CTM) systems utilize different models of simulation and regression to store and interpret the vast amount of unstructured data generated during different clinical trials. These systems help maintain and manage clinical trials conducted by different pharmaceutical companies and clinical research organization. In addition, these systems make it easier to track and monitor the participants involved in the trial, site selection, identify & enroll different subjects, and analyze vast amount of data.
Rise in the number of clinical trials owing to the large demand for novel therapeutic drugs and medical devices drive the growth of the market. Moreover, the increase in prevalence of chronic diseases, surge in the trend of outsourcing of clinical trials, and increase in awareness regarding the benefits of using CTM fuels the growth of the clinical trial management market. However, high cost associated with CTM and dearth of skilled professionals hamper the market growth.

This report provides a complete quantitative data and qualitative analysis on the global market for Clinical Trial Management (CTM). Market size is analysed by country, product type, application, and competitors. Expanded coverage includes additional end-user industry breakdowns and in-depth producer profiles.
Prior to COVID-19, the global market for Clinical Trial Management (CTM) was anticipated to grow from US$ XX million in 2020 to US$ XX million by 2026; it is expected to grow at a CAGR of xx% during 2021–2026, whereas post-COVID-19 scenario, the market for Clinical Trial Management (CTM) is projected to grow from US$ XX million in 2020 (a change by ~XX% compared to market estimated for 2020 before the outbreak of COVID-19) to US$ XX billion by 2026; it is expected to grow at a CAGR of XX% during 2021–2026.
This report covers market size and forecasts of Clinical Trial Management (CTM), including the following market information:
Global Clinical Trial Management (CTM) Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Clinical Trial Management (CTM) Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Clinical Trial Management (CTM) Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Clinical Trial Management (CTM) Market Size by Company, 2019- 2020 (quarterly data), (US$ Million)

Key market players
Major competitors identified in this market include Oracle, Medidata Solutions, Parexel, BioClinica, Bio-Optronics, IBM, MedNet Solutions, Veeva Systems, Forte Research Systems, Merge Healthcare Incorporated, Mednet Solutions, Arisglobal, eClinForce, DZS Software Solutions, DSG, Guger Technologies, ICON, ChemWare, iWeb Technologies Limited, etc.

Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)

Based on the Type:
Web-based CTMS
On-premise
Cloud-based CTMS

Based on the Application:
Pharmaceutical and Biopharmaceutical Companies
Clinical Research Organizations
Healthcare Providers

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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