Global Clinical Trials Matching Software Market Size, Share & Industry Trends Analysis Report By Deployment Mode (Web & Cloud-based, and On-premises), By End-use, By Regional Outlook and Forecast, 2023 - 2030

Global Clinical Trials Matching Software Market Size, Share & Industry Trends Analysis Report By Deployment Mode (Web & Cloud-based, and On-premises), By End-use, By Regional Outlook and Forecast, 2023 - 2030


The Global Clinical Trials Matching Software Market size is expected to reach $362.7 million by 2030, rising at a market growth of 13.5% CAGR during the forecast period.

Recent trends indicate that leading pharmaceutical companies are increasing R&D savings by substantially investing in R&D for long-term returns and nurturing collaborative research endeavors. Hence, Pharmaceutical & Biotechnology Companies segment would acquire around 2/5th share in the market by 2030. Increasing R&D expenditures in the pharmaceutical and biopharmaceutical industries are driving a shift toward comprehensive integrated or functionally outsourced services covering the entire drug discovery and development process, from early to late-stage development. Some of the factors impacting the market are Increasing market competition in clinical trials matching software, technological advancements in the market, and shortage of skilled professionals.

Market competition plays a significant role in the growth and development of the market. Increased competition can positively affect this industry, driving innovation, improving product offerings, and expanding the market. Competition encourages software providers to innovate and develop new features, functionalities, and technologies. Companies strive to differentiate themselves by offering unique solutions that address the evolving needs of pharmaceutical companies, research institutions, and healthcare organizations. Additionally, Technological advancements in the market have significantly transformed how clinical trials are conducted and managed. These innovations have improved efficiency, data accuracy, patient engagement, and trial success rates. AI and machine learning algorithms analyze large datasets quickly, helping researchers identify suitable patient cohorts and predict patient responses to treatments. As technology evolves, the industry will likely see further innovations that enhance the conduct and management of clinical trials. These factors will expand market growth.

Moreover, The COVID-19 pandemic significantly impacted various aspects of the healthcare industry, including the market. The COVID-19 pandemic underscored the importance of clinical trials in drug development and public health. This increased awareness and urgency drove more significant demand for clinical trials matching software as researchers and pharmaceutical companies sought to accelerate trials related to COVID-19 treatments and vaccines. The pandemic emphasized the need for more efficient data sharing and analysis in the healthcare and clinical trials sectors. Clinical trials matching software evolved to incorporate better data integration capabilities, enabling faster and more accurate matching of patients with trials. Regulatory agencies, such as the FDA in the United States, implemented expedited review processes for COVID-19-related clinical trials.

However, Contract research organizations (CROs) struggle to locate and retain qualified personnel. They compete with pharmaceutical companies, biotechnology companies, medical device manufacturers, and academic research institutions for skilled and seasoned scientists. To effectively compete, these businesses must increase pay and benefits. However, this can have a negative effect on their finances and outcomes, particularly for small-scale clinical trial service providers. This shortage of qualified professionals may impede the adoption of new technologies and methodologies and the market's growth over the next few years. In the coming years, the rising demand for outsourcing these services to CROs is anticipated to drive market expansion, but the lack of skilled workers can restrain market growth.

Deployment Mode Outlook

On the basis of Deployment Mode, the market is segmented into web & cloud based and on-premises. The on-premises segment acquired a substantial revenue share in the c market in 2022. On-premises-based deployment in the market refers to the installation and operation of the software within the physical infrastructure of a healthcare organization or research institution, as opposed to utilizing cloud-based or web-based solutions. On-premises solutions often provide more extensive customization options. Clinical trials matching software can be tailored to meet specific institutional requirements, ensuring it aligns perfectly with the organization's workflow and needs. On-premises deployment in the market provides organizations with benefits for control, customization, and data security.

End-use Outlook

Based on end-use, the market is fragmented into pharmaceutical & biotechnology companies, CROs, and medical device firms. In 2022, the pharmaceutical and biotechnology companies segment held the highest revenue share in the market. Pharmaceutical and biotechnology companies play a significant role in the market. These companies are involved in the research, development, and testing of new drugs and therapies, and they rely on clinical trials matching software to identify suitable participants for their studies. Clinical trials matching software is an integral part of the drug development process for pharmaceutical and biotechnology companies. It helps streamline various aspects of clinical trials, from patient recruitment to data analysis, ultimately contributing to the successful development and approval of new drugs and therapies.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region registered the highest revenue share in the market. Due to the rise in clinical trials matching software adoption by pharmaceutical and biotechnology firms in the U.S. In addition, the region has a robust and well-established pharmaceutical industry, and numerous companies are investing in creating clinical trial matching software, propelling market expansion. In addition, the regulatory environment benefits from developing and implementing clinical trial matching software. Diverse initiatives relating to IT and AI-based solutions and the increased adoption of clinical trials matching and patient-matching software contribute to expanding the regional market.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Clario, IBM Corporation, Antidote Technologies, Inc., Ofni Systems Inc., Advarra, Inc., ArisGlobal LLC (Nordic Capital Limited), Teckro, Inc., BSI Business Systems Integration AG, Clinical Trials Mobile Application, Optimapharm d.o.o.

Scope of the Study

Market Segments covered in the Report:

By Deployment Mode
  • Web & Cloud-based
  • On-premises
By End-use
  • Pharmaceutical & Biotechnology Companies
  • CROs
  • Medical Device Firms
By Geography
  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA
Companies Profiled
  • Clario
  • IBM Corporation
  • Antidote Technologies, Inc.
  • Ofni Systems Inc.
  • Advarra, Inc.
  • ArisGlobal LLC (Nordic Capital Limited)
  • Teckro, Inc.
  • BSI Business Systems Integration AG
  • Clinical Trials Mobile Application
  • Optimapharm d.o.o.
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Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Clinical Trials Matching Software Market, by Deployment Mode
1.4.2 Global Clinical Trials Matching Software Market, by End-use
1.4.3 Global Clinical Trials Matching Software Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.1 Porter’s Five Force Analysis
Chapter 4. Global Clinical Trials Matching Software Market, by Deployment Mode
4.1 Global Web & Cloud-based Market, by Region
4.2 Global On-premise Market, by Region
Chapter 5. Global Clinical Trials Matching Software Market, by End-use
5.1 Global Pharmaceutical & Biotechnology Companies Market, by Region
5.2 Global CROs Market, by Region
5.3 Global Medical Device Firms Market, by Region
Chapter 6. Global Clinical Trials Matching Software Market, by Region
6.1 North America Clinical Trials Matching Software Market
6.1.1 North America Clinical Trials Matching Software Market, by Deployment Mode
6.1.1.1 North America Web & Cloud-based Market, by Country
6.1.1.2 North America On-premise Market, by Country
6.1.2 North America Clinical Trials Matching Software Market, by End-use
6.1.2.1 North America Pharmaceutical & Biotechnology Companies Market, by Country
6.1.2.2 North America CROs Market, by Country
6.1.2.3 North America Medical Device Firms Market, by Country
6.1.3 North America Clinical Trials Matching Software Market, by Country
6.1.3.1 US Clinical Trials Matching Software Market
6.1.3.1.1 US Clinical Trials Matching Software Market, by Deployment Mode
6.1.3.1.2 US Clinical Trials Matching Software Market, by End-use
6.1.3.2 Canada Clinical Trials Matching Software Market
6.1.3.2.1 Canada Clinical Trials Matching Software Market, by Deployment Mode
6.1.3.2.2 Canada Clinical Trials Matching Software Market, by End-use
6.1.3.3 Mexico Clinical Trials Matching Software Market
6.1.3.3.1 Mexico Clinical Trials Matching Software Market, by Deployment Mode
6.1.3.3.2 Mexico Clinical Trials Matching Software Market, by End-use
6.1.3.4 Rest of North America Clinical Trials Matching Software Market
6.1.3.4.1 Rest of North America Clinical Trials Matching Software Market, by Deployment Mode
6.1.3.4.2 Rest of North America Clinical Trials Matching Software Market, by End-use
6.2 Europe Clinical Trials Matching Software Market
6.2.1 Europe Clinical Trials Matching Software Market, by Deployment Mode
6.2.1.1 Europe Web & Cloud-based Market, by Country
6.2.1.2 Europe On-premise Market, by Country
6.2.2 Europe Clinical Trials Matching Software Market, by End-use
6.2.2.1 Europe Pharmaceutical & Biotechnology Companies Market, by Country
6.2.2.2 Europe CROs Market, by Country
6.2.2.3 Europe Medical Device Firms Market, by Country
6.2.3 Europe Clinical Trials Matching Software Market, by Country
6.2.3.1 Germany Clinical Trials Matching Software Market
6.2.3.1.1 Germany Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.1.2 Germany Clinical Trials Matching Software Market, by End-use
6.2.3.2 UK Clinical Trials Matching Software Market
6.2.3.2.1 UK Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.2.2 UK Clinical Trials Matching Software Market, by End-use
6.2.3.3 France Clinical Trials Matching Software Market
6.2.3.3.1 France Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.3.2 France Clinical Trials Matching Software Market, by End-use
6.2.3.4 Russia Clinical Trials Matching Software Market
6.2.3.4.1 Russia Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.4.2 Russia Clinical Trials Matching Software Market, by End-use
6.2.3.5 Spain Clinical Trials Matching Software Market
6.2.3.5.1 Spain Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.5.2 Spain Clinical Trials Matching Software Market, by End-use
6.2.3.6 Italy Clinical Trials Matching Software Market
6.2.3.6.1 Italy Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.6.2 Italy Clinical Trials Matching Software Market, by End-use
6.2.3.7 Rest of Europe Clinical Trials Matching Software Market
6.2.3.7.1 Rest of Europe Clinical Trials Matching Software Market, by Deployment Mode
6.2.3.7.2 Rest of Europe Clinical Trials Matching Software Market, by End-use
6.3 Asia Pacific Clinical Trials Matching Software Market
6.3.1 Asia Pacific Clinical Trials Matching Software Market, by Deployment Mode
6.3.1.1 Asia Pacific Web & Cloud-based Market, by Country
6.3.1.2 Asia Pacific On-premise Market, by Country
6.3.2 Asia Pacific Clinical Trials Matching Software Market, by End-use
6.3.2.1 Asia Pacific Pharmaceutical & Biotechnology Companies Market, by Country
6.3.2.2 Asia Pacific CROs Market, by Country
6.3.2.3 Asia Pacific Medical Device Firms Market, by Country
6.3.3 Asia Pacific Clinical Trials Matching Software Market, by Country
6.3.3.1 China Clinical Trials Matching Software Market
6.3.3.1.1 China Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.1.2 China Clinical Trials Matching Software Market, by End-use
6.3.3.2 Japan Clinical Trials Matching Software Market
6.3.3.2.1 Japan Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.2.2 Japan Clinical Trials Matching Software Market, by End-use
6.3.3.3 India Clinical Trials Matching Software Market
6.3.3.3.1 India Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.3.2 India Clinical Trials Matching Software Market, by End-use
6.3.3.4 South Korea Clinical Trials Matching Software Market
6.3.3.4.1 South Korea Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.4.2 South Korea Clinical Trials Matching Software Market, by End-use
6.3.3.5 Singapore Clinical Trials Matching Software Market
6.3.3.5.1 Singapore Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.5.2 Singapore Clinical Trials Matching Software Market, by End-use
6.3.3.6 Malaysia Clinical Trials Matching Software Market
6.3.3.6.1 Malaysia Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.6.2 Malaysia Clinical Trials Matching Software Market, by End-use
6.3.3.7 Rest of Asia Pacific Clinical Trials Matching Software Market
6.3.3.7.1 Rest of Asia Pacific Clinical Trials Matching Software Market, by Deployment Mode
6.3.3.7.2 Rest of Asia Pacific Clinical Trials Matching Software Market, by End-use
6.4 LAMEA Clinical Trials Matching Software Market
6.4.1 LAMEA Clinical Trials Matching Software Market, by Deployment Mode
6.4.1.1 LAMEA Web & Cloud-based Market, by Country
6.4.1.2 LAMEA On-premise Market, by Country
6.4.2 LAMEA Clinical Trials Matching Software Market, by End-use
6.4.2.1 LAMEA Pharmaceutical & Biotechnology Companies Market, by Country
6.4.2.2 LAMEA CROs Market, by Country
6.4.2.3 LAMEA Medical Device Firms Market, by Country
6.4.3 LAMEA Clinical Trials Matching Software Market, by Country
6.4.3.1 Brazil Clinical Trials Matching Software Market
6.4.3.1.1 Brazil Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.1.2 Brazil Clinical Trials Matching Software Market, by End-use
6.4.3.2 Argentina Clinical Trials Matching Software Market
6.4.3.2.1 Argentina Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.2.2 Argentina Clinical Trials Matching Software Market, by End-use
6.4.3.3 UAE Clinical Trials Matching Software Market
6.4.3.3.1 UAE Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.3.2 UAE Clinical Trials Matching Software Market, by End-use
6.4.3.4 Saudi Arabia Clinical Trials Matching Software Market
6.4.3.4.1 Saudi Arabia Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.4.2 Saudi Arabia Clinical Trials Matching Software Market, by End-use
6.4.3.5 South Africa Clinical Trials Matching Software Market
6.4.3.5.1 South Africa Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.5.2 South Africa Clinical Trials Matching Software Market, by End-use
6.4.3.6 Nigeria Clinical Trials Matching Software Market
6.4.3.6.1 Nigeria Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.6.2 Nigeria Clinical Trials Matching Software Market, by End-use
6.4.3.7 Rest of LAMEA Clinical Trials Matching Software Market
6.4.3.7.1 Rest of LAMEA Clinical Trials Matching Software Market, by Deployment Mode
6.4.3.7.2 Rest of LAMEA Clinical Trials Matching Software Market, by End-use
Chapter 7. Company Profiles
7.1 Clario
7.1.1 Company Overview
7.1.2 Recent strategies and developments:
7.1.2.1 Partnerships, Collaborations, and Agreements:
7.1.3 SWOT Analysis
7.2 IBM Corporation
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Segmental and Regional Analysis
7.2.4 Research & Development Expenses
7.2.5 SWOT Analysis
7.3 Antidote Technologies, Inc.
7.3.1 Company Overview
7.3.2 Recent strategies and developments:
7.3.2.1 Partnerships, Collaborations, and Agreements:
7.3.3 SWOT Analysis
7.4 Ofni Systems Inc.
7.4.1 Company Overview
7.4.2 SWOT Analysis
7.5 Advarra, Inc.
7.5.1 Company Overview
7.5.2 SWOT Analysis
7.6 ArisGlobal LLC (Nordic Capital Limited)
7.6.1 Company Overview
7.6.2 Recent strategies and developments:
7.6.2.1 Geographical Expansions:
7.6.3 SWOT Analysis
7.7 Teckro, Inc.
7.7.1 Company Overview
7.7.2 SWOT Analysis
7.8 BSI Business Systems Integration AG
7.8.1 Company Overview
7.8.2 SWOT Analysis
7.9 Clinical Trials Mobile Application
7.9.1 Company Overview
7.9.2 SWOT Analysis
7.10. Optimapharm d.o.o.
7.10.1 Company Overview
7.10.2 SWOT Analysis
Chapter 8. Winning Imperative for Clinical Trials Matching Software Market

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