Global Clinical Data Management Systems Market

Report ID : 1337 | Published : 2022-07-21 | Pages: | Format: PDF/EXCEL

The market size of the Global Clinical Data Management Systems Market in the year 2021 is valued at 1.98 billion and is predicted to reach 5.53 billion by the year 2030 at an 12.44% CAGR during the projected period.

Clinical research employs the technique of clinical data management to provide reliable, fruitful, and high-quality data from clinical trials. Clinical data management ensures reliable information is gathered, integrated, and available at a fair price. It is also advantageous to conduct clinical research and manage the data analysis and management. Its main goal is to make sure that the study's findings are supported by data that has been collected and stored. The rising number of clinical trials worldwide is anticipated to drive steady growth in the clinical data management systems (CDMS) market by 2030. Additionally, throughout the course of the projected period, market growth is likely to be boosted by the expanding healthcare sector and the rapid advancements in the pharmaceutical industry. Product adoption has been driven by the increasing use of clinical data management systems by CROs and medical device manufacturers to maintain track of clinical data. Large-scale manufacture of pharmaceutical products needs effective data management for stringent process assurance, which helped the clinical data management systems market grow favourably in recent years. Key industry players have been making tactical growth choices to increase their market share in the clinical data management systems (CDMS) market, including partnerships, collaborations, and product development.

The clinical data management system industry must address three key problems: data cleaning, time-consuming clinical data reconciliation, and high software prices. Data collection raises patient privacy concerns, especially in the electronic data capture business, which might limit the market growth.

Market Segmentation:

The Clinical Data Management Systems Market is segmented on the basis of Delivery Mode and End-use. Based on Delivery Mode, the market is segmented as Licensed Enterprise Solutions, Cloud-based Solutions, and Web-hosted Solutions. Based on End-use, the market is segmented into Contract Research Organizations, Medical Device Companies, and Pharma/Biotech Companies.

Based on Delivery Mode, the cloud segment is accounted as a major contributor in the Clinical Data Management Systems Market.

Over the course of the forecast, the cloud segment's market share will rise. The cloud deployment technique provides better data management, a lower chance of data loss, and less concern for regulatory compliance. More businesses are using cloud-based security and safety solutions as a result of these advantages. In response to customer demands and business objectives, organizations are progressively implementing cloud-based solutions. The cloud deployment technique has advantages, including higher speed, scalability, 24/7 support, and improved IT security. The increasing need for efficient cloud storage, access, and administration of the massive volumes of data produced by these organizations has been a crucial growth facilitator.

Based on End-use, the contract research organization (CRO) segment is accounted as a major contributor in the Clinical Data Management Systems Market.

During the projection period, the contract research organization (CRO) segment is anticipated to increase at a faster rate. Globally expanding contract research organizations (CROs) are expected to boost market revenue. The market demand is also anticipated to be further fuelled by a growing trend of outsourcing clinical trials to CROs, which lowers the overall cost of drug development. In addition, a number of CROs have chosen to use the clinical data management system (CDMS) and electronic data capture (EDC) as two of the most popular digital solutions to handle the growing volume of data. Therefore, it is projected that the use of CDMS in various clinical research initiatives will positively impact market growth in the upcoming years.

The North America Clinical Data Management Systems Market holds a significant revenue share in the region.

North America dominated the clinical data management systems market due to the increased demand for data standardization and rising investments in pharmaceutical firms. The growth of the E medical answer software market was also fuelled by the presence of multiple pharmaceutical organizations in North America, primarily focused on improving new drugs. The expansion of the clinical data management market is attributed to the outsourcing of medical trials and the accessibility of a variety of patients in the area. Additionally, the region's population base made it possible for contract research organizations to conduct studies there, which resulted in the widespread use of such software in the region.

Competitive Landscape

The key players in the Clinical Data Management Systems Market have shifted their focus toward bio-based components for product manufacturing and are initiating significant strategies such as mergers, acquisitions, and through partnerships with regional and international companies to expand their product offerings and expand their global market presence. Some of the major key players in the Clinical Data Management Systems Market are Oracle Corporation, eClinical Solution LLC, IBM Corporation, CIMS, Axiom Real-Time Metrics, Medidata Solution (Dassault Systemes)., Fortress Medical, Veeva Systems, OpenClinica LLC, and Ennov.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Clinical Data Management System Market Snapshot

Chapter 4. Global Clinical Data Management System Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Delivery Mode Estimates & Trend Analysis

5.1. By Delivery Mode & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Delivery Mode:

5.2.1. Licensed Enterprise Solutions

5.2.2. Cloud-based Solutions

5.2.3. Web-hosted Solutions

Chapter 6. Market Segmentation 2: By End-use Estimates & Trend Analysis

6.1. By End-use & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By End-use:

6.2.1. Contract Research Organizations

6.2.2. Medical Device Companies

6.2.3. Pharma/Biotech Companies

Chapter 7. Clinical Data Management System Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America Clinical Data Management System Market revenue (US$ Million) estimates and forecasts By Delivery Mode, 2020-2030

7.1.2. North America Clinical Data Management System Market revenue (US$ Million) estimates and forecasts By End-use, 2020-2030

7.1.3. North America Clinical Data Management System Market revenue (US$ Million) estimates and forecasts by country, 2020-2030

7.2. Europe

7.2.1. Europe Clinical Data Management System Market revenue (US$ Million) By Delivery Mode, 2020-2030

7.2.2. Europe Clinical Data Management System Market revenue (US$ Million) By End-use, 2020-2030

7.2.3. Europe Clinical Data Management System Market revenue (US$ Million) by country, 2020-2030

7.3. Asia Pacific

7.3.1. Asia Pacific Clinical Data Management System Market revenue (US$ Million) By Delivery Mode, 2020-2030

7.3.2. Asia Pacific Clinical Data Management System Market revenue (US$ Million) By End-use, 2020-2030

7.3.3. Asia Pacific Clinical Data Management System Market revenue (US$ Million) by country, 2020-2030

7.4. Latin America

7.4.1. Latin America Clinical Data Management System Market revenue (US$ Million) By Delivery Mode, (US$ Million)

7.4.2. Latin America Clinical Data Management System Market revenue (US$ Million) By End-use, (US$ Million)

7.4.3. Latin America Clinical Data Management System Market revenue (US$ Million) by country, 2020-2030

7.5. Middle East & Africa

7.5.1. Middle East & Africa Clinical Data Management System Market revenue (US$ Million) By Delivery Mode, (US$ Million)

7.5.2. Middle East & Africa Clinical Data Management System Market revenue (US$ Million) By End-use, (US$ Million)

7.5.3. Middle East & Africa Clinical Data Management System Market revenue (US$ Million) by country, 2020-2030

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles 

8.2.1. Oracle Corporation

8.2.2. eClinical Solution LLC

8.2.3. IBM Corporation

8.2.4. CIMS

8.2.5. Axiom Real-Time Metrics

8.2.6. Medidata Solution (Dassault Systemes)

8.2.7. Fortress Medical

8.2.8. Veeva Systems

8.2.9. OpenClinica LLC

8.2.10. Ennov

8.2.11. Other Prominent Players

Segmentation of Clinical Data Management Systems Market-

By Delivery Mode

  • Licensed Enterprise Solutions
  • Cloud-based Solutions
  • Web-hosted Solutions

By End-use

  • Contract Research Organizations
  • Medical Device Companies
  • Pharma/Biotech Companies

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa

Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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2021 is valued at 1.98 billion

by the year 2030 at an 12.44% CAGR during the projected period.

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