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The global artificial intelligence in Life Sciences market was valued at USD 2755.75 Million in 2025. It is poised to grow at a CAGR of 24.70% during the forecast period of 2026-2035, and reach USD 25055.57 Million by 2035. The market growth is driven by the rising demand for data-driven insights, increasing R&D complexity, and growing adoption of AI solutions, with real-world evidence enhancing decision-making and accelerating innovation across life sciences.
Base Year
Historical Period
Forecast Period
In March 2026, the FDA Group launched AICA, an AI-powered compliance auditing platform for life sciences, enabling automated review of quality management systems and significantly reducing audit timelines.
In January 2026, Lilly and NVIDIA adopted the BioNeMo AI platform, accelerating predictive modeling, laboratory automation, and early-stage drug-target interaction analysis.
In March 2026, the OpenAI Foundation announced plans to invest over USD 1 billion in life sciences, expanding AI applications for diagnostics, treatment discovery, and research innovation.
Compound Annual Growth Rate
24.7%
Value in USD Million
2026-2035
*this image is indicative*
Artificial Intelligence (AI) in life sciences is transforming research, drug development, and healthcare delivery by enabling advanced data analytics and predictive modeling. The increasing R&D complexity and demand for faster outcomes are accelerating adoption across the sector. AI-driven tools support genomics, clinical research, and precision medicine initiatives. Additionally, the growing use of real-world evidence is enhancing decision-making, improving patient outcomes, and driving innovation across the global life sciences market. The market reached a value of approximately USD 2755.75 Million in 2025.
Increasing AI-Enabled Drug Discovery Driving the Market Expansion
Rising demand for faster, cost-efficient drug development and optimized research workflows is propelling market growth. For instance, in January 2026, major life sciences companies, including Lilly and NVIDIA, implemented the BioNeMo AI platform, enhancing predictive modeling and laboratory automation. This adoption supports early-stage drug-target interaction analysis, improving research efficiency and accelerating AI integration across pharmaceutical and biotechnology development globally, driving innovation and operational improvements across the life sciences sector.
Key trends shaping the market include increasing AI adoption, regulatory advancements, data-driven research expansion, and growing investments accelerating innovation and market growth.
Advancing Regulatory AI Adoption Accelerating the Market Demand
Increasing regulatory complexity and rising demand for efficient compliance processes are key trends shaping market development. For instance, in March 2026, the FDA Group launched AICA, an AI-powered platform designed to automate quality management system audits and streamline compliance workflows. This advancement is expected to accelerate adoption of regulatory AI, enhancing audit efficiency, reducing timelines, and supporting scalable growth across the artificial intelligence in life sciences market.
Market Breakup by Offering
Market Breakup by Deployment
Market Breakup by Application
Market Breakup by End User
Market Breakup by Region

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Cloud Segment Expected to Lead the Market Share by Deployment
The cloud segment dominated the market by deployment, accounting for more than 51% share in the historical period, driven by scalability, cost efficiency, and seamless data integration capabilities. Cloud-based platforms enable real-time analytics and support collaborative research across organizations. The increasing reliance on digital infrastructure is further strengthening data-driven research, enabling enhanced data accessibility, improved decision-making, and accelerated innovation across life sciences research and development activities globally.
North America dominated the market, accounting for approximately 49% share in the historical period, supported by advanced technological infrastructure and strong investment in research. The region benefits from early adoption of AI-driven solutions across healthcare and pharmaceutical sectors. Increasing implementation of AI technologies is enhancing laboratory automation, improving data accuracy, streamlining workflows, and supporting efficient research and development processes across life sciences organizations.
The key features of the market report comprise patent analysis, funding and investment analysis and strategic initiatives by the leading players. The major companies in the market are as follows:
IBM Corporation, headquartered in Armonk, New York, United States, and established in 1911, is a global technology leader offering AI-driven solutions for life sciences. Its portfolio includes advanced analytics, cloud platforms, and Watson-based tools supporting data-driven research, enabling pharmaceutical companies to enhance decision-making, optimize workflows, and improve overall research efficiency across drug discovery and development processes.
NuMedii Inc., headquartered in San Mateo, California, United States, and founded in 2008, focuses on AI-powered drug discovery using big data and bioinformatics. The company leverages advanced algorithms to identify novel therapeutic opportunities, emphasizing computational biology to uncover disease mechanisms, accelerate drug repurposing, and improve success rates in pharmaceutical research and development initiatives globally.
Atomwise Inc., based in San Francisco, California, United States, and established in 2012, specializes in AI-driven drug discovery using deep learning technologies. Its platform enables rapid identification of potential drug candidates through virtual screening, focusing on drug-target interaction to predict molecular binding and optimize compound selection, significantly enhancing efficiency and accuracy in early-stage pharmaceutical research.
AiCure LLC, headquartered in New York, United States, and founded in 2010, provides AI-based solutions to improve patient engagement and clinical trial outcomes. Its platform uses computer vision and advanced analytics to monitor medication adherence, supporting regulatory AI compliance and data integrity. AiCure’s solutions enhance trial efficiency, improve data accuracy, and strengthen overall pharmaceutical development processes.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other key players in the market are Nuance Communications Inc., Databricks, IQVIA, SAS Institute Inc., Sorcero, and Indegene.
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Offering |
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| Breakup by Deployment |
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| Breakup by Application |
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| Breakup by End User |
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| Breakup by Region |
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| Market Dynamics |
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| Supplier Landscape |
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| Companies Covered |
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