This data package contains datasets on clinical trials conducted in the United States. Diseases include cervical cancer, diabetes, acute respiratory infection as well as stress. This data package also includes clinical trials registry and results database.
The Clinical Trials Registry and Results Database compiles information on publicly and privately supported clinical trial studies on a wide range of diseases and conditions. Its main goal is to provide an easy access to both privately and publicly funded clinical trials information for patients, their family members, healthcare professionals, researchers, and the public.
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Clinical trial data management (CDM) providers have experienced robust growth in recent years, driven by several key factors. Two major catalysts contributing to this growth are an increasing demand for innovative therapies and treatments and the rising prevalence of chronic diseases worldwide. As pharmaceutical companies race to develop new drugs and biologics to address unmet medical needs, the volume and complexity of clinical trials have surged. A jump in clinical trial activity has fueled the need for efficient and reliable data management solutions to handle the vast amounts of data generated throughout the drug development process. At the same time, regulatory bodies in the US and internationally mounting scrutiny of clinical trial data integrity has prompted pharmaceutical companies to outsource data management to compliance and transparency. In all, revenue has been expanding at a CAGR of 5.9% to an estimated $8.9 billion over the past five years, including expected growth of 2.7% in 2024. One central trend behind clinical trial data management providers’ growth is the increasingly complex clinical trial landscape. Medical and tech advances have made the clinical trial process more intricate, expanding the volume and variety of data collected during clinical trials, introducing significant challenges for data management. Clinical trial data management companies have developed an increasingly vital role in addressing these challenges by providing specialized services. Outsourcing data management has been especially crucial for smaller biopharmaceutical companies that depend heavily on successful clinical trials but lack the capital or resources to invest in in-house capabilities. Outsourcing aspects of the research and development stage, including clinical trial data management, will become an increasingly attractive option for downstream pharmaceutical and medical device manufacturers, positioning the industry for growth. Competition between smaller or mid-sized pharma and the leading multinational manufacturers to bring novel therapies to market will strengthen CDM companies’ role. An approaching patent cliff will also drive demand for clinical trial data management services as revenue declines and heightened competition from generic drugs accelerate clinical trial activity and cost mitigation efforts. Revenue will continue growing, rising at a CAGR of 3.3% over the next five years, reaching an estimated $10.5 billion in 2029.
A UK Primary Care Database
IMRD, incorporating THIN, a Cegedim Database in electronic form, and otherwise, is a longitudinal patient database. Primary care practices in the UK are recruited by Cegedim to participate in the data collection scheme. The data collection software removes practice, practitioner and patient identifiers at source, retaining information on patient’s, (1) the physical health or condition of that patient, (2) the mental health or condition of that patient, (3) the diagnosis of the condition of that patient, (4) the care or treatment given to that patient, and (5) other information which is to an extent derived, directly or indirectly, from such information.
Data provided by: IQVIA
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Health Canada's Clinical Trials Database is a listing of information about phase I, II and III clinical trials in patients. The database is managed by Health Canada and provides a source of information about Canadian clinical trials involving human pharmaceutical and biological drugs. Additional information on Health Canada’s CTD is available at: https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/health-canada-clinical-trials-database/frequently-asked-questions.html
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The global clinical trial data repository market size was estimated to be approximately $1.8 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 9.5% to reach around $4.1 billion by 2032. The primary growth factors include the increasing volume and complexity of clinical trials, rising need for efficient data management systems, and stringent regulatory requirements for data accuracy and integrity. The advent of advanced technologies such as artificial intelligence and big data analytics further drives market expansion by enhancing data processing capabilities and providing actionable insights.
The growth of the clinical trial data repository market is significantly influenced by the increasing number of clinical trials being conducted globally. With the rise in chronic diseases, the need for innovative treatments and therapies has surged, leading to an upsurge in clinical trials. This increase in clinical trials necessitates robust data management systems to handle vast amounts of data generated, thereby propelling the demand for clinical trial data repositories. Moreover, the complexity of modern clinical trials, which often involve multiple sites and diverse patient populations, further amplifies the need for sophisticated data management solutions.
Another critical driver for the market is the stringent regulatory landscape governing clinical trial data. Regulatory bodies such as the FDA, EMA, and other local authorities mandate rigorous data management standards to ensure data integrity, accuracy, and accessibility. These regulations necessitate the adoption of advanced data repository systems that can comply with regulatory requirements, thereby fueling market growth. Additionally, regulatory frameworks are becoming increasingly stringent, prompting pharmaceutical and biotechnology companies to invest in state-of-the-art data management systems to avoid compliance issues and potential financial penalties.
Technological advancements play a pivotal role in the market's growth. The integration of artificial intelligence, machine learning, and big data analytics into data repository systems enhances data processing and analysis capabilities. These technologies enable real-time data monitoring, predictive analytics, and improved decision-making, thereby improving the efficiency of clinical trials. Furthermore, the shift towards cloud-based solutions offers scalability, flexibility, and cost-effectiveness, making advanced data management systems accessible to even small and medium-sized enterprises.
Regionally, North America dominates the clinical trial data repository market owing to its robust healthcare infrastructure, high R&D investments, and presence of major pharmaceutical and biotechnology companies. Europe follows closely due to stringent regulatory standards and a strong focus on clinical research. The Asia Pacific region is expected to witness the highest growth rate during the forecast period due to increasing clinical trial activities, growing healthcare expenditure, and the rising adoption of advanced technologies. Latin America and the Middle East & Africa are also likely to experience growth, albeit at a slower pace, driven by improving healthcare systems and increasing focus on clinical research.
The clinical trial data repository market is segmented by components into software and services. The software segment is anticipated to hold a significant share of the market due to the essential role software plays in data management. Advanced software solutions offer capabilities such as data storage, management, retrieval, and analysis, which are critical for effective clinical trial management. The integration of AI and machine learning algorithms into these software systems further enhances their efficiency by enabling predictive analytics and real-time monitoring, thus driving the software segment's growth.
Software solutions in clinical trial data repositories also offer interoperability, enabling seamless integration with other clinical trial management systems (CTMS) and electronic data capture (EDC) systems. This interoperability is crucial for ensuring data consistency and accuracy across different platforms, thereby enhancing overall data management. Additionally, the increasing adoption of cloud-based software solutions provides scalability, cost-effectiveness, and remote acce
A virtual database currently indexing clinical trials databases including EU Clinical Trials Register and Clinicaltrials.gov.
Clinical studies are an important part of drug development globally. The number of registered clinical trials has increased significantly recently. As of November 8, 2024, there were over 515 thousand clinical studies registered globally. The number of clinical studies has increased significantly since there were just 2,119 registered in 2000. In general, clinical trials have grown more complex in recent years and remain vital for the research and development of new drugs and products. Research and development Research and development are an important part of pharmaceutical companies and includes drug development and product development. Among all industry sectors, the pharmaceutical industry spends the largest percentage of their revenue on research and development. Many companies are active in pharmaceutical research and development globally. It is projected Swiss company Roche will remain one of the largest research and development spenders among pharmaceutical companies in the near future. Clinical studies globally Most clinical studies occurring globally are held in countries outside of the U.S. Many clinical trials performed outside the U.S. and EU are done so because it is often easier and cheaper to conduct trials in other locations. Success rates for clinical trials depend heavily on the stage of the trial and the drugs or products being developed. Recent data suggested that only around 29 percent of drugs make it from phase II to phase III.
Website which allows data from completed clinical trials to be distributed to investigators and public. Researchers can download de-identified data from completed NIDA clinical trial studies to conduct analyses that improve quality of drug abuse treatment. Incorporates data from Division of Therapeutics and Medical Consequences and Center for Clinical Trials Network.
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The global clinical data management system market size is projected to reach approximately USD 2.8 billion by 2032, up from USD 1.1 billion in 2023, reflecting a robust compound annual growth rate (CAGR) of around 11%. This significant growth is primarily driven by the increasing complexity of clinical trials and the need for efficient data management solutions across various sectors.
One of the primary growth factors for the clinical data management system market is the exponential increase in the volume and complexity of clinical trial data, necessitating advanced data management systems. The proliferation of personalized medicine and precision healthcare has led to an increase in the data points collected during clinical trials, making traditional methods of data management obsolete. Advanced clinical data management systems facilitate the efficient handling, storage, and analysis of this data, ensuring compliance with regulatory standards and enhancing the overall efficiency of clinical trials.
Another pivotal growth driver is the substantial increase in research and development (R&D) activities within the pharmaceutical and biotechnology sectors. Companies are heavily investing in R&D to develop new drugs and therapies, leading to a surge in the number of clinical trials conducted globally. This surge has created a burgeoning demand for innovative and robust clinical data management solutions that can streamline trial processes and ensure data integrity. Furthermore, the growing trend of outsourcing clinical trials to contract research organizations (CROs) has amplified the need for standardized data management processes.
The adoption of cloud-based solutions is also significantly contributing to market growth. Cloud-based clinical data management systems offer numerous advantages over traditional on-premises solutions, including scalability, cost-efficiency, and real-time data access. These benefits are particularly appealing to small and medium-sized enterprises (SMEs) and academic research institutes, which often operate with limited budgets. The increased reliance on remote monitoring and decentralized trials, accelerated by the COVID-19 pandemic, is further propelling the adoption of cloud-based solutions in the clinical data management system market.
The increasing complexity of clinical trials and the need for efficient data management have led to the growing adoption of Clinical Trial Management Software. This software plays a pivotal role in streamlining the management of clinical trials by providing tools for planning, tracking, and managing clinical trial data. With features such as study planning, budget management, and regulatory compliance tracking, Clinical Trial Management Software enhances the efficiency of clinical trials and ensures the integrity of data. As the demand for more sophisticated data management solutions rises, the integration of such software becomes crucial for organizations aiming to optimize their clinical trial processes and outcomes.
Regionally, North America dominates the clinical data management system market, driven by a well-established healthcare infrastructure, significant R&D investments, and the presence of major pharmaceutical and biotechnology companies. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rising prevalence of chronic diseases, increasing clinical trial activities, and favorable government initiatives are fostering market growth in this region. The growing outsourcing of clinical trials to countries like India and China, due to cost advantages and a skilled workforce, is also a critical regional growth driver.
The clinical data management system market is segmented into software and services, each playing a crucial role in the overall ecosystem. Software solutions dominate the market due to their ability to streamline data collection, processing, and analysis. These solutions offer various functionalities, including electronic data capture (EDC), clinical trial management systems (CTMS), and clinical data repositories. The increasing adoption of advanced analytics and artificial intelligence (AI) within these software solutions is further enhancing their capability to manage and interpret complex data sets, driving their demand.
Services, on the other hand, encompass a wide range of offer
The table patient is part of the dataset 2021 - IQVIA Medical Research Database IMRD, available at https://redivis.com/datasets/yzfh-e968m884f. It contains 175234 rows across 18 variables.
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The following is an information retrieval test collection that contains:
Further details about the test collection can be found in the following publication:
B. Koopman and G. Zuccon. A test collection for matching patient trials. In Proceedings of the 39th annual international ACM SIGIR conference on research and development in information retrieval, Pisa, July 2016.
A database of Alzheimer's disease and dementia clinical trials currently in progress at centers throughout the U.S.
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License information was derived automatically
The DIRECCT study is a multi-phase, living examination of clinical trial results dissemination throughout the COVID-19 pandemic. This dataset contains trials
, registrations
, and results
from Phase 1 of the project, examining trials completed during the first six months of the pandemic (i.e., through 30 June 2020). This dataset is provided as a relational database of three CSVs which can joined on the id
column. Data was collected using a combination of automated and manual strategies; automated searches were performed on 30 June 2020, and manual searches were performed between 21 October 2020 and 18 January 2021. Data sources for trials
and registrations
include the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) list of registered COVID-19 studies, individual clinical trial registries, and the COVID-19 TrialsTracker (https://covid19.trialstracker.net/). Data sources for results
include COVID-19 Open Research Dataset Challenge (CORD-19), PubMed, EuropePMC, Google Scholar, and Google. Additional information on the project is available at the project's OSF page: http://doi.org/10.17605/osf.io/5f8j2
The global clinical trial management system market size was valued at USD 1.66 Billion in 2022 and is projected to reach USD 5.53 Billion by 2031, expanding at a CAGR of 14.3% during the forecast period 2023 - 2031. The growth of market is attributed to increasing number of chronic diseases, changing lifestyle, growing number of clinical trials, outsourcing as well as implementation by research organization.
In the last few years heavy investment in the clinical trial segment is seen which boosted the market. Several organizations have developed clinical trial management system to integrate with the existing software which helps in providing efficiency in the work.
Increasing advancement of technology reduces the cost associated with clinical trial management system. Conversely high cost and data security are some challenges for the segment which can hinder the market during the forecast period.
During the COVID 19 outbreak the healthcare segment of the countries are investing heavily in research and development to battle with virus. Compounds such as ZINC database, FDA-approved drugs CHEMBL database and more. So it can be said that COVID-19 act as a positive impact on the healthcare industry for spurring the market growth.
The table medical is part of the dataset 2021 - IQVIA Medical Research Database IMRD, available at https://redivis.com/datasets/yzfh-e968m884f. It contains 51530641 rows across 23 variables.
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The global clinical trial management tool market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 2.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.8% over the forecast period. The growth of this market is driven by the increasing complexity of clinical trials, rising demand for efficient data management, and the need for better compliance with regulatory requirements.
One of the primary growth factors in the clinical trial management tool market is the escalating complexity of clinical trials. With the advent of personalized medicine and more stringent regulatory requirements, the need for comprehensive and integrated solutions has surged. Clinical trials now often require the handling of multiple data points across various stages of the trial, from patient recruitment to data analysis and reporting. This complexity necessitates sophisticated management tools that can streamline processes, reduce errors, and ensure data integrity. Consequently, the demand for advanced clinical trial management tools is expected to rise significantly.
Another crucial factor contributing to market growth is the increasing adoption of digital technology within the healthcare sector. The shift towards electronic health records (EHRs) and digital data collection methods has created a conducive environment for the adoption of clinical trial management tools. These tools offer seamless integration with existing digital infrastructures, enabling a more efficient and effective management of clinical trial data. Furthermore, the COVID-19 pandemic has accelerated the adoption of digital solutions, highlighting the need for remote monitoring and decentralized trials, which are well-supported by advanced management tools.
Moreover, the need for compliance with regulatory standards and the growing emphasis on patient safety are driving the adoption of clinical trial management tools. Regulatory bodies like the FDA and EMA have stringent guidelines for clinical trials, necessitating meticulous data management and reporting. Clinical trial management tools help organizations stay compliant by providing a centralized platform that ensures all data is collected, stored, and reported in accordance with regulatory requirements. This not only reduces the risk of non-compliance but also streamlines the overall trial process, making it more efficient and cost-effective.
Regionally, North America holds the largest share in the clinical trial management tool market, followed by Europe and Asia Pacific. The dominance of North America can be attributed to the high concentration of pharmaceutical and biotechnology companies, advanced healthcare infrastructure, and favorable regulatory frameworks. Europe also represents a significant market due to the presence of major clinical research organizations and increasing government support for clinical trials. Asia Pacific is expected to witness the highest growth rate, driven by the expanding healthcare sector, increasing clinical trial activities, and rising investments in healthcare technology.
The clinical trial management tool market is segmented into software and services based on the component. The software segment is further divided into enterprise-based and site-based solutions. Enterprise-based solutions are designed for large-scale organizations that manage multiple clinical trials simultaneously, offering comprehensive functionalities such as project management, data analysis, and reporting. These solutions are highly scalable and customizable, making them suitable for complex trial operations. On the other hand, site-based solutions are tailored for individual trial sites or smaller organizations, providing essential functionalities to manage trial activities efficiently.
Within the software segment, the increasing demand for integrated solutions is a significant growth driver. Integrated clinical trial management systems (CTMS) combine various functionalities such as patient recruitment, data management, and regulatory compliance into a single platform. This integration enhances operational efficiency, reduces duplication of efforts, and ensures seamless data flow across different trial stages. As the trend towards integrated solutions continues to grow, the software segment is expected to witness substantial growth during the forecast period.
In addition to software, the services segment plays a crucial role in the clinical trial management tool market. Services encompass a range of
https://www.iqvia.com/locations/united-kingdom/solutions/life-sciences-industry-solutions/real-world-solutions/iqvia-medical-research-datahttps://www.iqvia.com/locations/united-kingdom/solutions/life-sciences-industry-solutions/real-world-solutions/iqvia-medical-research-data
IQVIA Medical Research Data, (IMRD) contains longitudinal non-identified patient electronic healthcare records (EHR) collected from UK General Practitioner (GP) clinical systems via the IQVIA Medical Research Extraction Scheme.
This dataset is the main file to construct the FDA (U.S. Food and Drug Administration) Postmarketing Requirements and Commitments searchable database. Postmarketing requirements refers to studies required to be conducted under statutes or regulations after product approval. Postmarketing commitments are not required studies that sponsors conduct. Official FDA's website has an available database to provide public detailed information on postmarketing requirements and commitments studies.
This data package contains datasets on clinical trials conducted in the United States. Diseases include cervical cancer, diabetes, acute respiratory infection as well as stress. This data package also includes clinical trials registry and results database.