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.
Reasons to Buying From us –
- We cover more than 15 major industries, further segmented into more than 90 sectors.
- More than 120 countries are for analysis.
- Over 100+ paid data sources mined for investigation.
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