Global Clinical Trials Matching Software Market Size By Deployment Mode (Cloud-Based, On-Premises), By End-Users (Pharmaceuticals & Biotechnology Companies, CROs), By Geographic Scope And Forecast

Clinical Trials Matching Software Market Size And Forecast

Clinical Trials Matching Software Market size was valued at USD 150.7 Million in 2022 and is projected to reach USD 415.1 Million by 2030, growing at a CAGR of 13.5% from 2023 to 2030.

The digitization of research is opening the door for Clinical Trials Matching Software Market expansion. The Global Clinical Trials Matching Software Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Clinical Trials Matching Software Market Definition

Clinical trials are regularly conducted by pharmaceutical firms, biotechnology companies, clinical research organizations (CROs), and manufacturers of medical devices to evaluate the security and effectiveness of fresh medications, tests, and treatments. Market expansion is probably driven by the rising prevalence of chronic diseases and the rising need for clinical trials. Additionally, the digitization of research is enabling the emergence of new markets. Market participants can maintain track of patient data and cut expenses associated with monitoring by utilizing cutting-edge technologies like Electronic Data Capture (EDC) and clinical trial management systems.

Since clinical trials are conducted on humans, patient matching is essential. The right candidate match can save sponsors time and produce the greatest outcomes. Hospitals, research organizations, and pharmaceutical companies are all increasingly using virtual or remote trials. Participants in these trials don’t need to travel anywhere; everything is done online. The future of clinical trials is therefore in clinical trial management systems and patient matching tools. Because of these automated solutions, human intervention is no longer necessary. This clinical trial matching software offers patient centricity, which is a crucial advantage when compared to the conventional approach.

Additionally, it provides data clarity and expedites hiring, saving time. Patients are questioned a little bit to assist them to find the best match, and they consent, which promotes patient retention throughout the process. Clinical trials are regularly carried out to evaluate the safety and effectiveness of innovative drugs, diagnostics, and therapies by pharmaceutical makers, biotechnology firms, clinical research organizations (CROs), and medical device manufacturers. It is anticipated that the prevalence of chronic diseases will increase along with the demand for clinical studies. Since patient recruiting and matching are essential components of clinical trials, clinical trials are increasingly being undertaken in developing countries.

Global Clinical Trials Matching Software Market Overview

The digitization of research is opening the door for Clinical Trials Matching Software Market expansion. The companies can keep patient data and reduce monitoring costs by implementing cutting-edge technologies like Electronic Data Capture (EDC) and clinical trial management systems. Therefore, using clinical trial matching software might be essential for carrying out studies and increasing process effectiveness. A framework for the conduct of clinical studies during the pandemic has been released by regulatory agencies including the European Medicines Agency (EMA), the United States Food and Drug Administration, China’s National Medical Products Administration, and the National Institutes of Health (NIH), all of which fully support the virtual trials.

It is projected that this recognition by regulatory bodies and pharmaceutical firms will propel the Clinical Trials Matching Software Market’s expansion. Since human trials are conducted, patient matching is crucial. The best candidate match can help sponsors save time, which will produce the best outcomes. Many pharmaceutical firms, research institutions, and medical facilities are moving toward virtual or remote studies. These trials are conducted online, so there is no need to travel to the locations. Therefore, tools for patient matching and clinical trial management are crucial to the future of clinical trials.

These automated processes do not require human participation, which increases the demand for patient-matching software. In contrast to the conventional approach, this patient-matching software offers patient-centricity, which is an important feature. Additionally, it offers data transparency and expedites hiring, saving time. To make the process effective, patients answer a couple of questions, which helps them find the right match, as well as the patients give their consent leading to retention throughout the process.

Global Clinical Trials Matching Software MarketSegmentation Analysis

The Global Clinical Trials Matching Software Market is segmented on the basis of Deployment Mode, End-Users, and Geography.

Clinical Trials Matching Software Market, By Deployment Mode

• Cloud-Based
• On-Premises

Based on Deployment Mode, the market is bifurcated into Cloud-Based and On-Premises. In 2021, the web and cloud-based segment dominated the market with a revenue share of over 91% due to the cloud computing model, which is easier to maintain with no upkeep charges. As in-house server infrastructure is not required, development costs are reduced.

Clinical Trials Matching Software Market, By End-Users

• Pharmaceuticals & Biotechnology Companies
• CROs
• Medical Device Firms

Based on End-Users, the market is bifurcated into Pharmaceuticals & Biotechnology Companies, CROs, and Medical Device Firms. In 2021, Due to the numerous clinical trials necessary for new product releases, the pharmaceutical and biotechnology businesses category led the market with a revenue share of over 40%. The market is divided into pharmaceutical and biotechnology companies, CROs, and medical device companies based on end-use.

Clinical Trials Matching Software Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

On the basis of Regional Analysis, the Global Clinical Trials Matching Software Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. Due to the expansion in the usage of the clinical trials matching software by the pharmaceutical and biotechnology businesses in the U.S., North America held the greatest revenue share of over 50%. Additionally, the region’s market is growing as a result of government initiatives that are supportive of IT and AI-based solutions, as well as increased use of CTMS and patient matching software.

Key Players

The “Global Clinical Trials Matching Software Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are Advarra, Antidote Technologies, Inc., Aris Global, Bsi Business Systems Integration Ag, Clario, Clinical Trials Mobile Application, Evidation Health, Inc., HealthMatch Pty Ltd, and others are prominent hydro turbine manufacturers operating in the market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

• In December 2021Optimapharm, a leading European clinical research organization, acquired SSS International. This acquisition helped the company is widening its portfolio of clinical research studies.

Ace Matrix Analysis

The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.

Market Attractiveness

The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global Clinical Trials Matching Software Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.

Porter’s Five Forces

The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. Porter’s five forces model can be used to assess the competitive landscape in the Global Clinical Trials Matching Software Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

Report Scope

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