Latest News- Artificial Intelligence In Biotechnology Market: Drug discovery and development is expected to lead the Application segment during 2025-2029

The Artificial Intelligence In Biotechnology Market is being driven by Investments in biotechnology advancements

The Artificial Intelligence In Biotechnology Market is expected to grow at a CAGR of 19% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 4463.9 million. The global artificial intelligence market in biotechnology is experiencing a notable trend towards strategic collaborations, which are catalyzing innovation and expediting the drug discovery process. These alliances are harnessing the power of advanced AI technologies to amplify research capabilities and facilitate the development of novel therapeutics. For instance, in January 2024, NVIDIA Corporation and Amgen announced a significant collaboration aimed at creating AI models for drug discovery. This partnership utilizes NVIDIA's DGX SuperPOD infrastructure, which offers access to one of the largest human datasets. By combining NVIDIA's advanced computing capabilities with Amgen's expertise in biotechnology, this collaboration showcases the transformative potential of strategic partnerships in expanding AI applications within the field. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on segments_for_ai.nslist

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Investments in biotechnology advancements
• Prevalence of chronic diseases
• Increase in number of artificial intelligence-based biotech laboratories

However, the market also witnesses some limitations, which are as follows:

• High initial cost
• Cybersecurity risks
• Complexity of biological systems

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Market Scope in Artificial Intelligence In Biotechnology Market Research Report

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Research Analysis Overview

Artificial Intelligence (AI) is revolutionizing the biotechnology industry with its applications in personalized medicine, drug target identification, and healthcare data analytics. Machine learning algorithms and deep learning models are used for biomarker discovery, clinical trial design, pharmacovigilance, and data-driven drug development. AI-powered drug screening and patient engagement are also gaining popularity. Digital health, including mobile applications, medical billing, and healthcare policy, are being transformed by AI. AI is also used for patient safety, health equity, healthcare cost reduction, virtual care, wellness programs, and medical device integration. Additionally, AI is used for personalized treatment plans, clinical decision support, telemedicine, public health, disease prediction, data analysis, health informatics, health literacy, healthcare cybersecurity, healthcare innovation, and health analytics. Overall, AI is enhancing the drug discovery pipeline, pharmacokinetic modeling, and drug delivery systems in the biotechnology sector.

Market Research Overview

In the realm of IT software, the global market encompasses businesses specializing in the creation and distribution of application, system, and database management software. The application software sector specifically focuses on developing software for niche business or consumer applications, such as enterprise and technical software, as well as cloud-based solutions. Technavio's market analysis calculates the global IT software market size based on the consolidated revenue of these entities, including those offering cloud-based software. In the burgeoning field of Artificial Intelligence (AI) in Biotechnology, this market segment includes companies leveraging AI technologies, like machine learning, to enhance patient responses, optimize research, and improve pharmacokinetics, drug efficacy, and patient outcomes.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
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