The Generative AI In Personalized Medicine Market is being driven by Accelerated drug discovery and development cycles as a primary catalyst
The Generative AI In Personalized Medicine Market is expected to grow at a CAGR of 41.1% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 8455.6 million. The generative AI in personalized medicine market represents a significant business transformation in the field, moving away from creating narrow, single-task AI models towards utilizing large-scale, pre-trained foundation models for biological data processing. This trend parallels the advancements in the broader AI sector, with large language models like GPT. However, these models are specifically tailored to address the intricacies of biological data. Trained on extensive, multimodal datasets consisting of petabytes of genomic, proteomic, transcriptomic, and chemical data, these foundation models learn the fundamental language and syntax of biological systems. Following an intensive training process, these models can be fine-tuned with smaller, more specialized datasets to execute a diverse range of downstream tasks, including protein function prediction, drug molecule design, and disease biomarker identification.
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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 |
234 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 41.1% |
Market growth 2025-2029 |
USD 8455.6 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
36.6 |
Key countries |
China, Japan, South Korea, Germany, UK, France, Italy, Spain, US, and Canada |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the realm of personalized medicine, Generative AI is revolutionizing various sectors. It is transforming drug discovery through platforms that leverage AI for biomarker discovery and drug efficacy modeling. Clinical workflows are automated, enabling personalized medicine platforms and patient engagement tools. AI-powered imaging analysis and ai-driven pathology enhance diagnostics in oncology, cardiology, and neurology. Patient data anonymization and genomic data security ensure data privacy. AI regulatory frameworks guide the development of precision medicine apps, digital therapeutics, and targeted therapies. Personalized vaccines and patient-specific treatments emerge with disease progression modeling and treatment optimization. Biomarker discovery, drug safety prediction, therapeutic response, and rare disease diagnostics also benefit from AI technology. AI in oncology, cardiology, neurology, and diagnostics are advancing patient care and improving clinical trial design.
In the dynamic landscape of the IT software industry, the application software segment, specifically within personalized medicine, is experiencing significant growth. This segment encompasses the development and production of AI-driven diagnostics, personalized drug design, genomic data integration, and patient stratification models. Leveraging machine learning algorithms, these solutions enable healthcare providers to deliver more precise and effective treatments. The global application software market for personalized medicine is a subset of the larger IT software market, which includes companies providing all types of software, including cloud-based solutions. Technavio's market analysis calculates the market size based on the combined revenue generated by these companies.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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