The Generative AI In Clinical Trial Market is being driven by Overarching imperative to reduce clinical development costs and timelines
The Generative AI In Clinical Trial Market is expected to grow at a CAGR of 30.8% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 572.7 million. In the clinical trial market, a significant shift is underway from employing general-purpose large language models to the creation and implementation of specialized, domain-specific generative AI. While foundational models have displayed impressive capabilities, the life sciences sector acknowledges that clinical trials necessitate models with a deep understanding of biomedical and clinical data. This trend encompasses fine-tuning existing models or constructing new ones using meticulously curated datasets, which consist of scientific literature, genomic sequences, molecular structures, electronic health records, and historical clinical trial data. The ensuing domain-specific models demonstrate a superior comprehension of intricate medical terminology, biological pathways, and the intricate regulatory landscape, resulting in more precise and dependable outputs.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
225 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 30.8% |
Market growth 2025-2029 |
USD 572.7 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
28.2 |
Key countries |
China, Japan, India, South Korea, Germany, UK, France, US, Canada, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Generative AI models are revolutionizing the clinical trial market through innovative applications such as AI-driven patient recruitment, synthetic control arms, and federated learning techniques. These advanced technologies ensure data privacy compliance while enabling drug development acceleration through AI-based safety monitoring and trial design optimization. Additionally, AI-driven biomarker discovery, drug repurposing AI, and real-world evidence integration enhance patient-centric clinical trials. Regulatory submission AI, efficient trial management, clinical trial analytics, and improved patient outcomes are further benefits of this transformative technology. AI-augmented decision making, advanced analytics platforms, AI-powered diagnostics, clinical outcome assessment, and reduced trial costs contribute to an enhanced patient experience and improved trial efficiency.
In the dynamic IT software industry, Generative AI plays a pivotal role in driving innovation within the Clinical Trial Market. Companies specializing in ai-driven drug discovery, clinical trial optimization, patient stratification models, and synthetic data generation fall under this market segment. According to Technavio, the global IT software market encompasses organizations providing various types of IT software, including cloud-based solutions. The application software market specifically focuses on businesses creating software for specialized applications. In this context, Generative AI firms contribute significantly to the enterprise and technical software sector, revolutionizing clinical trials through advanced technologies.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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