Clinical Trials Matching Software Market

Clinical Trials Matching Software Market

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Clinical Trials Matching Software Market Outlook 2031

The global clinical trials matching software market size was valued at USD 148.3 Million in 2022 and is likely to reach USD 441.96 Million by 2031, expanding at a CAGR of 12.9% during 2023 – 2031. The market growth is attributed to the growing healthcare sector and increasing number of clinical trials.

Increasing number of clinical trials is expected to boost the demand for clinical trials matching software. This matching software helps patients or volunteers to identify clinical trials that the patients are eligible for by comparing patient characteristics against the eligibility criteria of available trials. It also stores and processes the patient's medical data, which enhances its adoption in clinical trials. Therefore, rising clinical trials worldwide are propelling the market. For instance,

  • According to a report published by the National Library of Medicine, 38,030 clinical trials were performed in 2022.

    Clinical Trials Matching Software Market Outlook

The demand for clinical trial matching software is rapidly increasing in biotechnology, CROs, and medical device companies, as it allows for planning, tracking, and analyzing clinical trials. It also provides transparency and unified access to study information, which helps the study team to make sound decisions. This increases the demand for clinical trial matching software in healthcare.

The COVID-19 pandemic propelled the demand for clinical trial matching software. The rising severity of COVID-19 infection highlighted the need for drug development to tackle coronavirus, which boosted the demand for clinical trial matching software, as this software drives patient recruitment efforts for sponsors and research sites and improves the patient search experience. For instance,

  • According to a report published by the US National Library of Medicine, 36,722 clinical trials were performed in 2020 as compared to 32,514 in 2021.

Impact of Artificial Intelligence (AI) on Clinical Trials Matching Software

The integration of artificial intelligence in healthcare creates an immense opportunity in the market. AI-powered clinical trial matching software helps scientists and researchers automate data analysis, optimize patient recruitment, and enhance safety monitoring. AI-enabled matching software assists companies and research institutes in patient selection, monitoring patients, and cohort composition. AI in clinical trial matching software improves efficiency and decreases waste. Moreover, research institutes and key companies in the market are developing and launching AI-based clinical trial matching platforms, which creates a lucrative opportunity in the market. For instance,

  • On September 14, 2023, Belong. Life, a global health tech provider of high-engagement patient communities and care platforms, announced the launch of Tara, an artificial intelligence (AI) cancer clinical trial matching platform. Tara is a software as a service (SaaS) that is available to hospitals, health systems, and contract research organizations (CROs).

Clinical Trials Matching Software Market Dynamics

Clinical Trials Matching Software Market Dynamics

Major drivers

Growing healthcare industry is expected to boost the demand for clinical trial matching software. Clinical trial matching software is utilized in healthcare to find a perfect patient or volunteer to study new tests and treatments and evaluate their effects on human health outcomes. Thus, expansion of the healthcare industry is propelling the market. For instance,

  • As per a report, the healthcare industry is expanding at a CAGR of 10.40 % and is likely to reach USD 85.95 billion by 2027.

Increasing incidence of chronic diseases across the globe is projected to drive the market. Clinical trial matching software is used to develop drugs for treating chronic diseases, as it provides an efficient method to quickly identify a list of potentially eligible patients for specific studies on chronic diseases. Therefore, the rising incidence of chronic diseases is estimated to boost the market. For instance,

  • As per a report published by the World Health Organization on September 16, 2023, 41 million people are killed every year globally, due to chronic diseases, which is equivalent to 74% of all deaths globally.

Existing Restraints

Lack of funding for clinical trials in emerging nations is expected to hamper the demand for clinical trial matching software, as this software is utilized in clinical trials to provide data clarity and help sponsors or researchers reach their recruitment goals rapidly. Moreover, clinical trial matching software requires assumptions and estimation to follow the matching principle. Sometimes, those assumptions are not accurate, which encourages CROs and pharmaceutical companies to reduce their adoption.

Emerging Opportunities

Increasing investment in R&D activities by research institutes and key players in the market to develop and introduce an app for finding patients and volunteers for specific clinical trial studies creates an immense opportunity in the market. For instance, on February 18, 2021, the University of Kansas Cancer Center created the KUCC Clinical Trial Finder app that allows volunteers to identify potential clinical trials at Kansas University (KU) and quickly communicate with the clinical trials team.

Scope of the Clinical Trials Matching Software Market Report

The report on the market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

Clinical Trials Matching Software Market- Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2022

Historic Data

2016–2021

Forecast Period

2023–2031

Segmentation

Deployment Mode (Web & Cloud-based and On-premises) and End-user (Pharmaceutical & Biotechnology Companies, CROs, and Medical Device Firms)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa.

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast

Key Players Covered in the Report

Advarra; Antidote Technologies, Inc.; ArisGlobal; Belong. Life; Clario; Clinical Trials Mobile Application; Evidation Health, Inc.; HealthMatch; IBM; IQVIA Inc.; Microsoft; Ofni Systems; Optimapharm; and Teckro, Inc.

 

Market Segment Insights

Deployment Mode Segment Analysis

Based on deployment mode, the clinical trials matching software market is bifurcated into web & cloud-based and on-premises. The web & cloud-based segment dominated the market in 2022, owing to its ability to offer high accessibility and quick deployment. Cloud-based clinical trial matching software has centralized data security that reduces operating expenses and provides instant trial insights, enhancing its demand for clinical trials. It also allows collaboration on different projects and makes data sharing convenient, which increases its adoption in clinical trials.

Clinical Trials Matching Software Market Deployment Mode

End-user Segment Analysis

In terms of end-user, the global market is segregated into pharmaceutical & biotechnology companies, CROs, and medical device firms. The pharmaceutical & biotechnology companies segment held a large share of the market in 2022, due to the increasing number of R&D programs by pharmaceutical companies and the rising globalization of clinical trials. Pharmaceutical & biotechnology companies widely conduct clinical trials to determine whether new drugs, diagnostics, or treatments are safe and effective, enhancing the demand for clinical trial matching software. Moreover, healthcare bodies in several countries are mandating clinical trials for drug introduction, boosting the adoption of clinical trials matching software. For instance,

  • Food and Drug Administration's Center for Drug Evaluation and Research (CDER) requires pharmaceutical companies to test their drug for safety and effectiveness and send evidence to the center before selling them in the country.

The contract research organization (CRO) segment is expected to grow at a robust pace in the coming years, owing to the increasing demand for generic drugs and the growing incidence of chronic diseases. CROs are contracted by pharmaceutical organizations to conduct extensive clinical trials, as they plan, coordinate, execute, and manage the lifecycle of the clinical trial safely and efficiently, thereby creating demand for clinical trials matching software.

Regional Outlook

Based on region, the clinical trials matching software market is categorized into Asia Pacific, North America, Latin America, Europe, and the Middle East & Africa. North America accounted for a major share of the market in 2022, due to increasing investment in the pharmaceutical industry and the presence of established market players, such as IBM, Belong. Life, Clario, Evidation Health, Inc., and Microsoft. Moreover, rising clinical trials in the region by healthcare institutes are propelling the demand for clinical trial matching software, as it finds and manages participating patients for specific trials. For instance,

  • On July 31, 2023, the National Institutes of Health launched enrollment for phase 2 clinical trials in the US to evaluate at least four potential treatments for long-term COVID-19.

The market in Asia Pacific is projected to expand at a high CAGR during the forecast period, owing to the increasing number of IT healthcare projects and rising medical tourism. Additionally, the availability of a large patient pool in the region enables easy patient recruitment procedures, creating demand for clinical trials matching software. Moreover, increasing spending by governments in the region for health research and drug development is estimated to boost the demand for clinical trial matching software. For instance,

  • On February 1, 2023, the government of India allocated ₹2,980 for the Department of Health Research, 3.43% higher than the previous year.

    Clinical Trials Matching Software Market Region

Segments

The clinical trials matching software market has been segmented on the basis of

Deployment mode

  • Web & Cloud-based
  • On-premises

End-user

  • Pharmaceutical & Biotechnology Companies
  • CROs
  • Medical Device Firms

Regions

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

Competitive Landscape

Key players competing in the global market are Advarra; Antidote Technologies, Inc.; ArisGlobal; Belong. Life; Clario; Clinical Trials Mobile Application; Evidation Health, Inc.; HealthMatch; IBM; IQVIA Inc.; Microsoft; Ofni Systems; Optimapharm; and Teckro, Inc.

These companies adopted development strategies, including collaborations, product launches, mergers, acquisitions, partnerships, and production expansion, to expand their consumer base worldwide. For instance,

  • On December 14, 2021, Optimapharm a key Europe-based, mid-sized, full-service Clinical Research Organization (CRO) announced the acquisition of SSS International Clinical Research (SSS) to strengthen its presence in the market in Western and Northern Europe and expand its in-house capabilities, for the benefit of its biopharmaceutical clients worldwide.

  • On April 6, 2020, IQVIA Inc., a global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry, announced the launch of the Trial Matching Tool, the world’s first online platform that matches individuals with specific COVID-19 studies to accelerate clinical research projects.

    Clinical Trials Matching Software Market Key Players

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Clinical Trials Matching Software Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. Clinical Trials Matching Software Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Clinical Trials Matching Software Market - Supply Chain
  4.5. Global Clinical Trials Matching Software Market Forecast
     4.5.1. Clinical Trials Matching Software Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Clinical Trials Matching Software Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. Clinical Trials Matching Software Market Absolute $ Opportunity
5. Global Clinical Trials Matching Software Market Analysis and Forecast by End Users
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by End Users
     5.2.2. Y-o-Y Growth Projections by End Users
  5.3. Clinical Trials Matching Software Market Size and Volume Forecast by End Users
     5.3.1. Pharmaceutical & Biotechnology Companies
     5.3.2. CROs
     5.3.3. Medical Device Firms
  5.4. Absolute $ Opportunity Assessment by End Users
  5.5. Market Attractiveness/Growth Potential Analysis by End Users
6. Global Clinical Trials Matching Software Market Analysis and Forecast by Region
  6.1. Market Trends
  6.2. Introduction
     6.2.1. Basis Point Share (BPS) Analysis by Region
     6.2.2. Y-o-Y Growth Projections by Region
  6.3. Clinical Trials Matching Software Market Size and Volume Forecast by Region
     6.3.1. North America
     6.3.2. Latin America
     6.3.3. Europe
     6.3.4. Asia Pacific
     6.3.5. Middle East and Africa (MEA)
  6.4. Absolute $ Opportunity Assessment by Region
  6.5. Market Attractiveness/Growth Potential Analysis by Region
  6.6. Global Clinical Trials Matching Software Demand Share Forecast, 2019-2026
7. North America Clinical Trials Matching Software Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
  7.2. North America Clinical Trials Matching Software Market Size and Volume Forecast by Country
     7.2.1. U.S.
     7.2.2. Canada
  7.3. Absolute $ Opportunity Assessment by Country
  7.4. North America Clinical Trials Matching Software Market Size and Volume Forecast by End Users
     7.4.1. Pharmaceutical & Biotechnology Companies
     7.4.2. CROs
     7.4.3. Medical Device Firms
  7.5. Basis Point Share (BPS) Analysis by End Users
  7.6. Y-o-Y Growth Projections by End Users
  7.7. Market Attractiveness/Growth Potential Analysis
     7.7.1. By Country
     7.7.2. By Product Type
     7.7.3. By Application
  7.8. North America Clinical Trials Matching Software Demand Share Forecast, 2019-2026
8. Latin America Clinical Trials Matching Software Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Latin America Average Pricing Analysis
  8.2. Latin America Clinical Trials Matching Software Market Size and Volume Forecast by Country
      8.2.1. Brazil
      8.2.2. Mexico
      8.2.3. Rest of Latin America
   8.3. Absolute $ Opportunity Assessment by Country
  8.4. Latin America Clinical Trials Matching Software Market Size and Volume Forecast by End Users
     8.4.1. Pharmaceutical & Biotechnology Companies
     8.4.2. CROs
     8.4.3. Medical Device Firms
  8.5. Basis Point Share (BPS) Analysis by End Users
  8.6. Y-o-Y Growth Projections by End Users
  8.7. Market Attractiveness/Growth Potential Analysis
     8.7.1. By Country
     8.7.2. By Product Type
     8.7.3. By Application
  8.8. Latin America Clinical Trials Matching Software Demand Share Forecast, 2019-2026
9. Europe Clinical Trials Matching Software Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Europe Average Pricing Analysis
  9.2. Europe Clinical Trials Matching Software Market Size and Volume Forecast by Country
     9.2.1. Germany
     9.2.2. France
     9.2.3. Italy
     9.2.4. U.K.
     9.2.5. Spain
     9.2.6. Russia
     9.2.7. Rest of Europe
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Europe Clinical Trials Matching Software Market Size and Volume Forecast by End Users
     9.4.1. Pharmaceutical & Biotechnology Companies
     9.4.2. CROs
     9.4.3. Medical Device Firms
  9.5. Basis Point Share (BPS) Analysis by End Users
  9.6. Y-o-Y Growth Projections by End Users
  9.7. Market Attractiveness/Growth Potential Analysis
     9.7.1. By Country
     9.7.2. By Product Type
     9.7.3. By Application
  9.8. Europe Clinical Trials Matching Software Demand Share Forecast, 2019-2026
10. Asia Pacific Clinical Trials Matching Software Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Asia Pacific Average Pricing Analysis
  10.2. Asia Pacific Clinical Trials Matching Software Market Size and Volume Forecast by Country
     10.2.1. China
     10.2.2. Japan
     10.2.3. South Korea
     10.2.4. India
     10.2.5. Australia
     10.2.6. Rest of Asia Pacific (APAC)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Asia Pacific Clinical Trials Matching Software Market Size and Volume Forecast by End Users
     10.4.1. Pharmaceutical & Biotechnology Companies
     10.4.2. CROs
     10.4.3. Medical Device Firms
  10.5. Basis Point Share (BPS) Analysis by End Users
  10.6. Y-o-Y Growth Projections by End Users
  10.7. Market Attractiveness/Growth Potential Analysis
     10.7.1. By Country
     10.7.2. By Product Type
     10.7.3. By Application
  10.8. Asia Pacific Clinical Trials Matching Software Demand Share Forecast, 2019-2026
11. Middle East & Africa Clinical Trials Matching Software Market Analysis and Forecast
  11.1. Introduction
     11.1.1. Basis Point Share (BPS) Analysis by Country
     11.1.2. Y-o-Y Growth Projections by Country
     11.1.3. Middle East & Africa Average Pricing Analysis
  11.2. Middle East & Africa Clinical Trials Matching Software Market Size and Volume Forecast by Country
     11.2.1. Saudi Arabia
     11.2.2. South Africa
     11.2.3. UAE
     11.2.4. Rest of Middle East & Africa (MEA)
  11.3. Absolute $ Opportunity Assessment by Country
  11.4. Middle East & Africa Clinical Trials Matching Software Market Size and Volume Forecast by End Users
     11.4.1. Pharmaceutical & Biotechnology Companies
     11.4.2. CROs
     11.4.3. Medical Device Firms
  11.5. Basis Point Share (BPS) Analysis by End Users
  11.6. Y-o-Y Growth Projections by End Users
  11.7. Market Attractiveness/Growth Potential Analysis
     11.7.1. By Country
     11.7.2. By Product Type
     11.7.3. By Application
  11.8. Middle East & Africa Clinical Trials Matching Software Demand Share Forecast, 2019-2026
12. Competition Landscape
  12.1. Global Clinical Trials Matching Software Market: Market Share Analysis
  12.2. Clinical Trials Matching Software Distributors and Customers
  12.3. Clinical Trials Matching Software Market: Competitive Dashboard
  12.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     12.4.1. Advarra
     12.4.2. Antidote Technologies, Inc.
     12.4.3. ArisGlobal
     12.4.4. Belong. Life
     12.4.5. Clario
     12.4.6. Clinical Trials Mobile Application
     12.4.7. Evidation Health, Inc.
     12.4.8. HealthMatch
     12.4.9. IBM
     12.4.10. IQVIA Inc.
     12.4.11. Microsoft
     12.4.12. Ofni Systems
     12.4.13. Optimapharm
     12.4.14. Teckro, Inc.

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