The clinical trial management systems are used for management of clinical trials during clinical research and play a vital role in the timely and successful completion of clinical research. The clinical trial management systems are gaining popularity owing to high efficiency and ease of operation as compared to traditional trial management software. Intense competition among pharmaceutical manufacturers, increasing investment in research & development, and rise in number of clinical trials are the prime factors driving the global clinical trial management system market. Another factor fueling the adoption and growth of clinical trial management system is the rise in the outsourcing of clinical trials to third party contractors. Requirement for improved therapeutic drugs is anticipated to trigger the growth of drug discovery and is expected to fuel the demand for clinical trial management system in coming years. The global clinical trial management system market is anticipated to witness prominent growth during the forecast period.
North America contributed the largest share to the global clinical trial management system market in 2019 and is anticipated to be the dominating geography during the forecast period. Increasing number of clinical trials from the leading pharmaceutical manufacturers and biotechnology companies, rising investment in research and development of new drugs, and presence of leading clinical trial management system developers are the key parameters driving the North America clinical trial management system market. Asia Pacific is anticipated to be the fastest growing geography during the forecast period owing to rising adoption of clinical trial management systems from small and medium scale pharmaceutical and biotechnology companies in the region. Growth of clinical research in Asia Pacific fueled by increased outsourcing of clinical research and clinical trials, and expanding healthcare expenditure are anticipated to contribute towards the growth on clinical management system market in coming years.
The report titled “Clinical Trial Management System Market - Global Market Share, Trends, Analysis and Forecasts, 2022-2032”, wherein 2020 is historic period, 2021 is the base year, and 2022 to 2032 is forecast period. Additionally, the study takes into consideration the competitive landscape, wherein the report would provide company overview and market outlook for leading players in the global clinical trial management system market. The report would reflect the key developments, global & regional sales network, business strategies, research & development activities, employee strength, and key executive, for all the major players operating in the market.
The global clinical trial management system (CTMS) market is segmented based on component, type, deployment, end user, and geography. Based on component, the global clinical trial management system market is segmented into software, and services. Based on type, the global clinical trial management system market is segmented onto enterprise CTMS, and site CTMS. Based on deployment, the global clinical trial management system market is segmented into web-based CTMS, on premise CTMS, and cloud based CTMS. Based on end user, the global clinical trial management system market is segmented into pharmaceutical and biopharmaceutical companies, contract research organizations, medical device companies, and other. Based on geography, the global clinical trial management system market is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South America.
The research provides in-depth analysis of prominent players holding majority share of the global market with a focus on all operating business segment, and would identify the segment of the company focusing on clinical trial management systems. Further, market share of prominent companies in the global clinical trial management system market would also be estimated. The study takes into consideration the key competitive information such as business strategy, product portfolio, key development, SWOT analysis, and research and development focus of all the clinical trial management system developers and service providers. Furthermore, the global clinical trial management system market study would take into consideration the participants engaged throughout the ecosystem of the market, along with their contribution. Product portfolio would focus on all the products under the clinical trial management system business segment of the company. Similarly, the recent development section would focus on the latest developments of companies such as strategic alliances and partnerships, merger and acquisition, new product launched and geographic expansion in the global clinical trial management system market.
Major players active in the global clinical trial management system market include Advarra (Forte), Bioclinica, Bio-Optronics, Inc., Castor EDC., Dassault Systèmes (medidata), DSG, Inc., DZS Clinical Services, ERT Clinical, IBM, MasterControl, Inc., Mednet, Oracle Corporation, Parexel International Corporation, and Veeva Systems Inc.
InsightSLICE adopts a research methodology which is highly meticulous and comprehensive, yielding accurate research results. Our research methodology utilizes data triangulation model which helps in the precise collection and validation of information. Our set processes for problem solving and paid primary tools guarantee that any client requirement is met with utmost diligence and accuracy. Some of the primary components that are consequential to our research approach are:
Secondary Research or Desk Research
Distinctive Data Model
Secondary Sources include but are not limited to:
Past Published Research
Historical Data and Information
Primary Sources include but are not limited to:
InsightSLICE also leverages three types of data triangulation approaches as follows:
Data Source Triangulation
Extracting data and validation from multiple type of secondary and primary sources
Combining various methodologies to validate data inputs
Applying different theories to check credibility of data sets
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