AI-based Clinical Trial Solutions for Patient Matching Market Size, Share & Trends Analysis Report By Therapeutic Application (Oncology, Cardiovascular Diseases, Neurological Diseases or Conditions, Metabolic Diseases, Infectious Diseases, Others), By End-Use, By Region, And By Segment Forecasts, 2025-2034

Report Id: 1430 Pages: 180 Published: 13 March 2025 Format: PDF / PPT / Excel / Power BI
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Global AI-based Clinical Trial Solutions for Patient Matching Market Size is valued at USD 469.2 Million in 2024 and is predicted to reach USD 6205.4 Million by the year 2034 at a 29.6% CAGR during the forecast period for 2025-2034.

Key Industry Insights & Findings from the Report:

  • The increasing influence of Artificial Intelligence and Machine Learning on clinical trials maps out the future growth of this quickly developing field.
  • The increasing demand AI-powered technologies is expected to drive industry growth.
  • North America dominated the market and accounted for a revenue share of global revenue in 2024.
  • One of the significant concerns restraining industry growth is that AI-based clinical trial solutions for patient matching is time-consuming and costly.

AI-based Clinical Trial Solutions for Patient Matching Market

A network-wide clinical trial matching tool powered by artificial intelligence (AI) called VIPER. AI technology is intended to enable, prioritize, and expedite patient enrollment during the trial recruitment process. The use of AI-powered solutions in controlling and implementing medical testing is responsible for the market’s expansion. These solutions can help shorten the duration of the clinical trial cycle, which lowers costs and improves reliability while also improving the efficiency of trial production. The primary driver of AI-based clinical trial solutions for the patient matching market is that a massive percentage of pharmaceutical companies are forced to make significant investments in new drug development to increase the number of products in their product pipelines. Clinical and biomedical research using digitalization is creating prospects for AI-based clinical trial solutions for the patient-matching market.

Leading pharma companies are incorporating cutting-edge technological solutions for improved patient management and clinical outcomes. Government entities in developed nations fund the development of AI-based clinical trial survey technologies while establishing a strong regulatory foundation. Additionally, governments in emerging economies are educating stakeholders about AI-based clinical trial solutions so that they may concentrate on finding novel treatments and expediting patient enrollment, which will increase patient experience and monitoring. However, risks associated with data privacy might constrain AI-based clinical trial solutions for the patient-matching market in the coming years.

Market Segmentation:

The Ai-based clinical trial solutions for the patient matching market are segmented based on therapeutic application and end users. Based on therapeutic applications, the AI-based clinical trial solutions for the patient matching market is segmented as oncology, cardiovascular diseases, neurological diseases or condition, metabolic diseases, infectious diseases, and others. By application, the AI-based clinical trial solutions for the patient matching market are segmented into pharmaceutical companies, academia, and others.

Based on product, the pharmaceutical company’s segment is accounted as a significant contributor in the AI-based clinical trial solutions for the patient matching market

The pharmaceutical company’s segment is expected to hold a major share in the global AI-based clinical trial solutions for patient matching market in 2021 due to the increased emphasis on creating biomarkers and diagnostics that work better, employing AI-based innovations to find new drug targets and streamlining the application development. The expanding pharmaceutical sector is further fueling the market due to the prevalence of chronic diseases and the rising demand for new treatments. The market is also benefiting from a partnership between major pharmaceutical companies and AI providers to use AI technologies designed for the entire process of discovering new medicines.

The oncology segment witnessed growth at a rapid rate

The oncology segment is projected to grow rapidly in the global AI-based clinical trial solutions for the patient matching market. The number of AI-based clinical trial solutions for patient matching is rising due to the rising incidence rate of cancer worldwide, positively affecting the industry. Leading pharmaceutical corporations are also collaborating with AI development firms to deploy AI-based oncology technologies created for the creation of pharmaceuticals., especially in countries such as the US, Germany, the UK, China, and India.

The North America AI-based clinical trial solutions for patient matching in the region hold a significant revenue share

The North America AI-based clinical trial solutions for the patient matching market are expected to register the highest market share in revenue soon. The development of a sizable patient population, affordable access to highly skilled labor, and reasonable hiring rates are the fundamental causes of this. The market’s growth is primarily driven by increased usage of AI-based technologies and rising awareness of these solutions. A greater number of startups have emerged due to the growing consumption, which is anticipated to create new prospects for the industry in this region.

In addition, Asia Pacific is projected to grow at a rapid rate in the global AI-based clinical trial solutions for the patient matching market. The growing demand for AI-based technology and the incorporation of government initiatives contribute to the region’s growth. Major market players are also boosting their R&D in AI-based technologies for clinical trials to enhance their market shares. Activities include joint ventures, agreements, affiliations, and other strategic alliances with rival market participants.

Recent Developments:

  • In September 2022,The Bridge2AI program was created by the NIH, with the goal of engaging people from diverse groups and providing a range of tools, resources, and data to facilitate the development of an AI strategy.
  • In February 2022, Qureight secured a seed investment of USD 1.50 million for its AI-powered platform, which effectively decreased drug expenses by accelerating clinical trials and shortening their duration.

Competitive Landscape:

Some Major Key Players In The AI-based Clinical Trial Solutions For Patient Matching Market:

  • Unlearn.AI, Inc.
  • Antidote Technologies, Inc.
  • deep6.ai
  • Mendel.ai
  • Aris Global
  • Deep Lens AI
  • AmerisourceBergen Corporation
  • Konaks
  • Microsoft Corporation
  • GNS Healthcare

AI-based Clinical Trial Solutions for Patient Matching Market Report Scope:

Report Attribute Specifications
Market size value in 2024 USD 469.2  Million
Revenue forecast in 2034 USD 6205.4 Million
Growth rate CAGR CAGR of 29.6% from 2025 to 2034
Quantitative units Representation of revenue in US$Mn and CAGR from 2025 to 2034
Historic Year 2021 to 2024
Forecast Year 2025-2035
Report coverage The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments covered Therapeutic Application, End-Use
Regional scope North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Country scope U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia
Competitive Landscape Unlearn.AI, Inc., Antidote Technologies, Inc., Deep6.ai, Mendel.ai, Aris Global, Deep Lens AI, AmerisourceBergen Corporation, Konaks, Microsoft Corporation, GNS Healthcare.
Customization scope Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.
Pricing and available payment methods Explore pricing alternatives that are customized to your particular study requirements.

Need specific information/chapter from the report of the custom data table, graph or complete report? Tell us more.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI-Based Clinical Trial Solutions for Patient Matching Market Snapshot

Chapter 4. Global AI-Based Clinical Trial Solutions for Patient Matching 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 Therapeutic Application Estimates & Trend Analysis

5.1. by Therapeutic Application & Market Share, 2024 & 2034

5.2. Market Size (Value (US$ Mn) & Volume (no. of units) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Therapeutic Application:

5.2.1. Oncology

5.2.2. Cardiovascular Diseases

5.2.3. Neurological Diseases or Conditions

5.2.4. Metabolic Diseases

5.2.5. Infectious Diseases

5.2.6. Others

Chapter 6. Market Segmentation 2: by End-users Estimates & Trend Analysis

6.1. by End-users & Market Share, 2024 & 2034

6.2. Market Size (Value (US$ Mn) & Volume (no. of units) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-users:

6.2.1. Pharmaceutical Companies

6.2.2. Academia

6.2.3. Others

Chapter 7. AI-Based Clinical Trial Solutions for Patient Matching Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America AI-Based Clinical Trial Solutions for Patient Matching Market Revenue (US$ Million) Estimates and Forecasts by Therapeutic Application, 2021-2034

7.1.2. North America AI-Based Clinical Trial Solutions for Patient Matching Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2021-2034

7.1.3. North America AI-Based Clinical Trial Solutions for Patient Matching Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

7.2. Europe

7.2.1. Europe AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by Therapeutic Application, 2021-2034

7.2.2. Europe AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by End-users, 2021-2034

7.2.3. Europe AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by country, 2021-2034

7.3. Asia Pacific

7.3.1. Asia Pacific AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by Therapeutic Application, 2021-2034

7.3.2. Asia Pacific AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by End-users, 2021-2034

7.3.3. Asia Pacific AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by country, 2021-2034

7.4. Latin America

7.4.1. Latin America AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by Therapeutic Application, 2021-2034

7.4.2. Latin America AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by End-users, 2021-2034

7.4.3. Latin America AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by country, 2021-2034

7.5. Middle East & Africa

7.5.1. Middle East & Africa AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by Therapeutic Application, 2021-2034

7.5.2. Middle East & Africa AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by End-users, 2021-2034

7.5.3. Middle East & Africa AI-Based Clinical Trial Solutions for Patient Matching Market revenue (US$ Million) by country, 2021-2034

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1. Unlearn.AI, Inc.

8.2.2. Antidote Technologies, Inc.

8.2.3. Deep6.ai

8.2.4. Mendel.ai

8.2.5. Aris Global

8.2.6. Deep Lens AI

8.2.7. AmerisourceBergen Corporation

8.2.8. Konaks

8.2.9. Microsoft Corporation

8.2.10. GNS Healthcare

8.2.11. Other Prominent Players

AI-based Clinical Trial Solutions for Patient Matching Market Segmentation:

By Therapeutic Application

  • Oncology
  • Cardiovascular Diseases
  • Neurological Diseases or Conditions
  • Metabolic Diseases
  • Infectious Diseases
  • Others


By End-use

  • Pharmaceutical Companies
  • Academia
  • Others

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
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa
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Frequently Asked Questions

AI-based Clinical Trial Solutions for Patient Matching Market Size is valued at USD 469.2 Million in 2024 and is predicted to reach USD 6205.4 Million

AI-based Clinical Trial Solutions for Patient Matching Market expected to grow at 29.6% CAGR during the forecast period for 2025-2034

Unlearn.AI, Inc., Antidote Technologies, Inc., Deep6.ai, Mendel.ai, Aris Global, Deep Lens AI, AmerisourceBergen Corporation, Konaks, and others

Therapeutic Application and End-Use are the key segments of the AI-based Clinical Trial Solutions for Patient Matching Market.

North American region is leading the AI-based Clinical Trial Solutions for Patient Matching Market.
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