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What Are the Key Milestones in the Artificial Intelligence In Life Sciences Market’s Growth Trajectory From 2025 To 2034?
The market size for artificial intelligence in life sciences has seen a dramatic increase in the past few years. The market value is estimated to rise from $2.92 billion in 2024 to $3.59 billion in 2025, with a compound annual growth rate (CAGR) of 23.2%. This remarkable growth during the historic period is linked with various factors. These include a strong surge in clinical trials, both in number and adoption of AI in research and development. Additionally, there has been notable emphasis on enhancing precision medicine and the creation of personalized drugs.
The market size for artificial intelligence in life sciences is predicted to undergo a massive surge in the upcoming years. This market is set to expand to$8.42 billion by 2029, with a compound annual growth rate (CAGR) of 23.7%. The expected growth during the forecast period can be due to the rising attraction towards real-time remote patient monitoring (rpm) systems, and the growing need for AI in drug discovery as well as its increased use in the analysis of medical images. Key trends to look out for during the predicted period include strategic collaborations, innovation in products, advancements in technology, investments, and ongoing research and developments.
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What Are the Core Market Drivers Propelling Growth in the Artificial Intelligence In Life Sciences Industry?
The growth of artificial intelligence in the life sciences market is expected to accelerate due to the rising interest in real-time remote patient monitoring (RPM) systems. An RPM system is a tech-driven healthcare solution that monitors patients’ health beyond conventional healthcare environments. AI plays a significant role in life sciences in contributing to remote patient monitoring, as it provides constant, personalized, and data-centric insights that promote proactive healthcare management. For instance, a survey carried out by Livelink, a digital healthcare company based in the US, reported that the usage of RPM by Clinicians grew by 20% in 2021 to 81% in 2022; an increase of 305%. Consequently, the growing interest in real-time remote patient monitoring (RPM) systems is fuelling the expansion of artificial intelligence in the life sciences market.
How Is the Artificial Intelligence In Life Sciences Market Segmented?
The artificial intelligence in life sciencesmarket covered in this report is segmented –
1) By Offering: Software; Hardware; Services
2) By Deployment: On-Premises; Cloud-Based
3) By Application: Drug Discovery; Medical Diagnosis; Biotechnology; Clinical Trails; Precision And Personalized Medicine; Patient Monitoring
Subsegments:
1) By Software: Drug Discovery Software; Genomic Analysis Software; Clinical Trial Management Software; Personalized Medicine Software; Laboratory Information Management Systems (LIMS)
2) By Hardware: AI-Enabled Laboratory Equipment; Robotics And Automation Systems; Imaging Devices And Equipment; Sensor Technologies
3) By Services: Consulting Services; Data Analytics Services; Research And Development Services; Implementation And Integration Services; Training And Support Services
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Which Regions Are Driving the Next Phase of the Artificial Intelligence In Life Sciences Market Growth?
North America was the largest region in the Artificial Intelligence In Life Sciences market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in life sciences market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Key Market Trends and Innovations Are Shaping the Future of the Artificial Intelligence In Life Sciences Industry?
Key players in the life science artificial intelligence sector are concentrating on technological innovations that offer cutting-edge products like drug discovery software, in order to maintain their market standing. Drug discovery software assists pharmacy and biotech researchers in identifying new medicines by acting as a collection of applications and computer programs tailored for this purpose. For example, in December 2023, Merck, a German science and technology firm, introduced an innovative drug discovery software, AIDDISON. It represents the first-ever software to merge virtual molecule design with practical manufacturability via generative AI, machine learning, and computer-aided drug design. The software is capable of efficiently pinpointing potential drug candidates from a sea of possibilities by taking into consideration key aspects such as non-toxicity and solubility. AIDDISON’s unique capability of connecting virtual molecule design and real-world manufacturability showcases significant application of AI in the life sciences industry.
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How Is the Artificial Intelligence In Life Sciences Market Defined and What Are Its Core Parameters?
Artificial intelligence (AI) in life sciences refers to the application of AI technologies and techniques in various domains within the life sciences industry. The integration of AI in life sciences aims to enhance and expedite processes, improve decision-making, and generate valuable insights from complex data sets.
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