Global AI-based clinical trial solutions for patient market is anticipated to grow at a significant CAGR of 22.6% during the forecast period (2024-2031). AI technologies play a significant role in various aspects of clinical trials. It contribute to personalized medicine and biomarker discovery by analyzing genomic, proteomic, and other omics data to identify biomarkers associated with disease progression, treatment response, and adverse events. AI additionally aids in clinical trial design and optimization by utilizing predictive modeling and simulation tools to predict patient enrollment rates, estimate sample sizes, and identify optimal study protocols. Furthermore, AI-powered data management platforms streamline the collection, storage, and analysis of clinical trial data, while AI-driven patient engagement platforms enhance participant engagement and retention. Lastly, AI technologies help ensure regulatory compliance and mitigate risks associated with clinical trial conduct through predictive analytics and machine learning algorithms. Furthermore, the market has seen significant growth primarily owing to increased focus on R&D by both public and private organizations and growing applications. For instance,

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In October 2023, Elligo and Avallano launched myTrialsConnect, an AI-powered clinical trials platform that aids patient recruitment and eligibility screening through medical record reviews and chatbot-based surveys. This technology increases efficiency in patient selection and recruitment for clinical trials.
In AstraZeneca launched Evinova, a health technology business that offers digital health solutions to clinical research organizations, trial sponsors, care teams, and patients. The company aims to streamline clinical trial design, reduce costs in medicine development, and explore digital remote patient monitoring and therapeutics.
In June 2023, Objective Health launched Objective Screen, an AI platform for clinical trial feasibility and recruitment. It optimizes patient identification, prequalification, and retention, connecting clinical trial sites with patient EHRs and stratifying health risks against biomarkers.

Market Coverage

The market number available for – 2023-2031
Base year- 2023
Forecast period- 2024-2031
Segment Covered- 

o             By Application

o             By End-User

Regions Covered-

o             North America

o             Europe

o             Asia-Pacific

o             Rest of the World

Competitive Landscape- Antidote Technologies, Inc., Clinerion, Deep 6 AI Inc., IBM Corp., and Saama Technologies, LLC., among others.

Key questions addressed by the report.

What is the market growth rate?
Which segment and region dominate the market in the base year?
Which segment and region will project the fastest growth in the market?
Who is the leader in the market?
How are players addressing challenges to sustain growth?
Where is the investment opportunity?

Global AI-Based Clinical Trial Solutions for Patient Market Report Segment

By Application

Oncology
Cardiovascular Diseases
Neurological Diseases or Conditions
Metabolic Diseases
Infectious Diseases
Others (Gastrointestinal Disorders, and Respiratory Diseases)

By End-User

Pharmaceutical Companies
Academia
Others (Contract Research Organizations (CROs), and Government Agencies)

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AI-Based Clinical Trial Solutions for Patient Matching Market Report Segment by Region

North America          

United States
Canada

Europe

Germany
United Kingdom
France
Spain
Italy
Rest of Europe

Asia-Pacific   

China
Japan
India
Rest of Asia-Pacific

Rest of the World

Middle East & Africa
Latin America

Company Profiles

AiCure, LLC
Ardigen S.A.
BioSymetrics
CliniOps, Inc.
Consilx
Euretos Services BV
Exscientia plc
GNS Healthcare, Inc.
IBM Corporation
Innoplexus AG
Intelegencia
Koneksa Health Inc.




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