Product Code: GVR-4-68039-921-8
Clinical Trials Matching Software Market Growth & Trends:
The global clinical trials matching software market size is expected to reach USD 396.1 million by 2030, based on a new report by Grand View Research, Inc.. It is expected to expand at a CAGR of 13.2% from 2023 to 2030. The significant increase in the number of ongoing clinical trials is likely to drive the market. In addition, the growing adoption of the clinical trial matching software catering to the clinical trials, along with the increased demand for virtual trials and automation in the healthcare sector are some of the key factors contributing to the market growth. The matching software help in effective and fast patient matching with patient-centric approaches.
In clinical trials, patient recruitment or matching can be time-consuming, and finding the right match can be a hurdle. Screening or locating prospective respondents who are qualified, considering all elements of the trials, verifying awareness, and getting informed consent to participate are the factors taken into consideration while recruiting patients. Enlisting the individuals in accordance with the qualifying requirements is crucial, hence the trial matching technology has been proved to be useful, especially in the COVID-19 scenario.
The software helps not only to find the right match but also saves the R&D-related costs, enabling smoother operations without human intervention. The software providers are introducing new innovative techniques to strengthen their market position. For instance, in February 2022, the CTMA expanded CT-SCOUT technology offering in rheumatology.
Clinical Trials Matching Software Market Report Highlights:
- Based on deployment mode, the web and cloud based segment dominated the market in terms of revenue in 2022 and it is expected to register the fastest CAGR during the forecast period. The cloud computing models operate with no maintenance or upkeep charges and customers only have to pay for the services that are used. On the other hand, on-premises deployment involves in-house infrastructure, in-house IT support, working capital, and higher integration costs. Hence, web and cloud based models are preferred
- Based on end use, pharmaceuticals and biotechnology companies captured the largest revenue share in 2022 owing to the higher adoption of software during ongoing clinical studies for cost-saving in the R&D activities
- The CROs end-use segment is anticipated to expand at the fastest CAGR of 13.7% during the forecast period. CROs provide the professional assistance, expertise, and execution experience required for clinical trials quickly, without the need for the sponsor to engage such people full-time. CROs are preferred for outsourcing as their services are cost and time-effective
- In 2022, North America led the market in terms of revenue owing to the rising adoption of the clinical trial matching software by the pharma, biotech, and medical companies in the region
- Asia Pacific is anticipated to register the fastest growth rate over the forecast period due to the availability of a large patient pool supporting easy recruitment of patients/candidates
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.1.1. Deployment Mode
- 1.1.2. End-use
- 1.1.3. Regional scope
- 1.1.4. Estimates and forecast timeline
- 1.2. Research Methodology
- 1.3. Information Procurement
- 1.3.1. Purchased database
- 1.3.2. GVR's internal database
- 1.3.3. Secondary sources
- 1.3.4. Primary research
- 1.3.5. Details of primary research
- 1.4. Information or Data Analysis
- 1.5. Market Formulation & Validation
- 1.6. Model Details
- 1.7. List of Secondary Sources
- 1.8. List of Primary Sources
- 1.9. Objectives
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.2.1. Deployment mode outlook
- 2.2.2. End-use outlook
- 2.2.3. Regional outlook
- 2.3. Competitive Insights
Chapter 3. Clinical Trials Matching Software Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook
- 3.2. Penetration & Growth Prospect Mapping
- 3.3. Market Dynamics
- 3.3.1. Market driver analysis
- 3.3.2. Market restraint analysis
- 3.4. Clinical Trials Matching Software Market Analysis Tools
- 3.4.1. Industry Analysis - Porter's
- 3.4.1.1. Supplier power
- 3.4.1.2. Buyer power
- 3.4.1.3. Substitution threat
- 3.4.1.4. Threat of new entrant
- 3.4.1.5. Competitive rivalry
- 3.4.2. PESTEL Analysis
- 3.4.2.1. Political landscape
- 3.4.2.2. Technological landscape
- 3.4.2.3. Economic Landscape
Chapter 4. Clinical Trials Matching Software: Deployment Mode Estimates & Trend Analysis
- 4.1. Clinical Trials Matching Software Market: Key Takeaways
- 4.2. Clinical Trials Matching Software Market: Movement & Market Share Analysis, 2022 & 2030
- 4.3. Web & Cloud-based
- 4.3.1. Web & Cloud-Based market estimates and forecasts, 2018 to 2030 (USD Million)
- 4.4. On-premises
- 4.4.1. On-premises market estimates and forecasts, 2018 to 2030 (USD Million)
Chapter 5. Clinical Trials Matching Software: End-use Estimates & Trend Analysis
- 5.1. Clinical Trials Matching Software Market: Key Takeaways
- 5.2. Clinical Trials Matching Software Market: Movement & Market Share Analysis, 2022 & 2030
- 5.3. Pharmaceutical & Biotechnology Companies
- 5.3.1. Pharmaceutical & Biotechnology Companies market estimates and forecasts, 2018 to 2030 (USD Million)
- 5.4. CROs
- 5.4.1. CROs market estimates and forecasts, 2018 to 2030 (USD Million)
- 5.5. Medical Device Firms
- 5.5.1. Medical Device Firms market estimates and forecasts, 2018 to 2030 (USD Million)
Chapter 6. Clinical Trials Matching Software Market: Regional Estimates & Trend Analysis
- 6.1. Regional Outlook
- 6.2. Clinical Trials Matching Software Market by Region: Key Marketplace Takeaway
- 6.3. North America
- 6.3.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.3.2. U.S.
- 6.3.2.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.3.3. Canada
- 6.3.3.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4. Europe
- 6.4.1. UK
- 6.4.1.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.2. Germany
- 6.4.2.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.3. France
- 6.4.3.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.4. Italy
- 6.4.4.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.5. Spain
- 6.4.5.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.6. Sweden
- 6.4.6.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.7. Norway
- 6.4.7.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.4.8. Denmark
- 6.4.8.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.5. Asia Pacific
- 6.5.1. Japan
- 6.5.1.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.5.2. China
- 6.5.2.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.5.3. India
- 6.5.3.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.5.4. Australia
- 6.5.4.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.5.5. Thailand
- 6.5.5.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.5.6. South Korea
- 6.5.6.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.6. Latin America
- 6.6.1. Brazil
- 6.6.1.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.6.2. Mexico
- 6.6.2.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.6.3. Argentina
- 6.6.3.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.7. MEA
- 6.7.1. Saudi Arabia
- 6.7.1.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.7.2. South Africa
- 6.7.2.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.7.3. UAE
- 6.7.3.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
- 6.7.4. Kuwait
- 6.7.4.1. Market estimates and forecasts, 2018 - 2030 (Revenue, USD Million)
Chapter 7. Competitive Landscape
- 7.1. Recent Developments & Impact Analysis, By Key Market Participants
- 7.2. Market Participant Categorization
- 7.2.1. IBM Clinical Development
- 7.2.1.1. Company overview
- 7.2.1.2. Financial performance
- 7.2.1.3. Product benchmarking
- 7.2.1.4. Strategic initiatives
- 7.2.2. Antidote Technologies, INC.
- 7.2.2.1. Company overview
- 7.2.2.2. Financial performance
- 7.2.2.3. Product benchmarking
- 7.2.2.4. Strategic initiatives
- 7.2.3. Ofni Systems
- 7.2.3.1. Company overview
- 7.2.3.2. Financial performance
- 7.2.3.3. Product benchmarking
- 7.2.3.4. Strategic initiatives
- 7.2.4. Sss International Clinical Research
- 7.2.4.1. Company overview
- 7.2.4.2. Financial performance
- 7.2.4.3. Product benchmarking
- 7.2.4.4. Strategic initiatives
- 7.2.5. Clario
- 7.2.5.1. Company overview
- 7.2.5.2. Financial performance
- 7.2.5.3. Product benchmarking
- 7.2.5.4. Strategic initiatives
- 7.2.6. Advarra
- 7.2.6.1. Company overview
- 7.2.6.2. Financial performance
- 7.2.6.3. Product benchmarking
- 7.2.6.4. Strategic initiatives
- 7.2.7. Aris Global
- 7.2.7.1. Company overview
- 7.2.7.2. Financial performance
- 7.2.7.3. Product benchmarking
- 7.2.7.4. Strategic initiatives
- 7.2.8. Bsi Business Systems Integration Ag
- 7.2.8.1. Company overview
- 7.2.8.2. Financial performance
- 7.2.8.3. Product benchmarking
- 7.2.8.4. Strategic initiatives
- 7.2.9. Teckro
- 7.2.9.1. Company overview
- 7.2.9.2. Financial performance
- 7.2.9.3. Product benchmarking
- 7.2.9.4. Strategic initiatives
- 7.2.10. Clinical Trials Mobile Application
- 7.2.10.1. Company overview
- 7.2.10.2. Financial performance
- 7.2.10.3. Product benchmarking
- 7.2.10.4. Strategic initiatives