Artificial Intelligence (AI) in Life Sciences Market Size, Share, By Offering (Software, Hardware, and Services), Deployment (On Premise, and Cloud), Application (Medical Diagnosis, Drug Discovery, Precision and Personalized Medicine, Biotechnology, Clini

Artificial Intelligence (AI) in Life Sciences Market Size, Share, By Offering (Software, Hardware, and Services), Deployment (On Premise, and Cloud), Application (Medical Diagnosis, Drug Discovery, Precision and Personalized Medicine, Biotechnology, Clinical Trials, and Others), and Region - Trends, Analysis, and Forecast till 2035

The Artificial Intelligence (AI) in Life Sciences Market Report offers an in-depth exploration of emerging market trends, driving factors, challenges, and key segments that shape the industry. It includes a thorough examination of regulatory frameworks, company profiles, and the latest industry developments. The report delves into product development, positioning strategies, and the impact of new technologies on the market landscape. By identifying challenges and opportunities, the report provides a detailed roadmap for market growth.

In the life sciences, the phrase artificial intelligence (AI) refers to the use of sophisticated algorithms and machine learning to the analysis of intricate biological data in order to improve patient care, speed up drug discovery, and improve diagnostics. The desire to enhance diagnostics, expedite drug discovery, and customize treatments is propelling the development of AI in the life sciences sector. The use of AI is influenced by a number of reasons, including the need for quicker and more precise medical treatments, growing healthcare expenses, and developments in big data analytics and cloud computing. AI is a desirable solution for biotech, pharmaceutical, and healthcare companies as it expedites research and development, reduces operating costs, and boosts clinical trial success rates.

Report Highlights:

• Artificial intelligence (AI) in life sciences market size is valuated at USD 1.4 Billion in 2025.
• Target Market size is estimated to be valuated at USD 7.4 Billion by 2035 and at a CAGR of 20.0%.
• On the account of offering, software has the biggest artificial intelligence (AI) in life sciences market share.
• The most targeted market share is held by cloud deployment in artificial intelligence (AI) in life sciences market.
• According to the application, highest artificial intelligence (AI) in life sciences market share is held by drug discovery.
• North America region dominates the artificial intelligence (AI) in life sciences market.
• Asia Pacific is fastest growing region in the artificial intelligence (AI) in life sciences market

Key Highlights:

• In October 2024, Oracle Analytics Intelligence for Life Sciences was introduced by Oracle. The cloud-scale, AI-powered data and analytics platform unifies different data sources into a single, intelligent workbench, streamlining and accelerating the development of insights. Users may now respond to interdisciplinary research questions, provide insights, and incorporate those findings back into their current Oracle Health and Life Sciences applications with the help of the new solution.

Report Analysis:

Future Impact of Al on Life Sciences Manufacturing:

• Personalized Medicine: Al has the ability to completely transform personalized medicine by customizing medication dosages and treatment regimens for maximum efficacy and safety by examining genetic data, unique patient data, and treatment results. For instance, the customized medicine startup Tempus Labs, Inc. uses machine learning and Al to evaluate clinical and genomic data in order to enhance cancer treatment. Their approach creates individualized treatment recommendations for patients by fusing clinical data with genomic sequencing.
• Advanced Robotics: Al-driven robotic systems can speed up the drug discovery and development process by automating difficult laboratory operations like chemical synthesis, sample handling, and high-throughput screening. Transcriptic, for instance, offers an Al-driven roboticcloud laboratory platform that speeds up drug discovery and allows high-throughput screening by automating a variety of laboratory operations.
• Predictive Analytics: By predicting the safety, effectiveness, and side effects of medications based on patient data, clinical studies, and empirical evidence, Al algorithms can improve decision-making and shorten the time and expense required to introduce new medications to the market. As an illustration, the biopharmaceutical business BERG Health uses Al algorithms to examine patient data and find biomarkers for early disease detection and individualized care.
• Drug Formulation and Optimization: Al can help improve medicine formulations and delivery methods, guaranteeing increased drug stability, bioavailability, and controlled release for better patient results. For instance, XtalPi Inc. and the science and technology company Merck Group have collaborated to produce a paper that emphasizes the advantages of integrating wet lab trials with computational workflows to enhance drug development.

Segmentation:

By Offering:

• Software
• Hardware
• Services

By Deployment:

• On Premise
• Cloud

By Application:

• Medical Diagnosis
• Drug Discovery
• Precision and Personalized Medicine
• Biotechnology
• Clinical Trails
• Others

By Region:

• North America
• U.S.
• Canada
• Europe
• Germany
• U.K.
• France
• Russia
• Italy
• Spain
• Netherlands
• Rest of Europe
• Asia Pacific
• China
• India
• Japan
• Australia
• Indonesia
• Malaysia
• South Korea
• Rest of Asia Pacific
• Latin America
• Brazil
• Mexico
• Argentina
• Rest of Latin America
• Middle East & Africa
• GCC
• Israel
• South Africa
• Rest of Middle East & Africa

Artificial Intelligence (AI) in Life Sciences Market Companies:

Pfizer Inc.

F. Hoffmann-La Roche Ltd

Merck & Co., Inc.

PathAI, Inc.

IBM

TEMPUS

Exscientia plc

Insilico Medicine

BenevolentAI

Veeva Systems

Clarivate

Schrödinger, Inc.

Iktos

Viz.ai, Inc

What Our Report Offers:

• Regional & Country-Specific Market Intelligence: Gain a competitive edge with in-depth market share breakdowns across critical regions and nations, helping you identify growth opportunities and strategic positioning.
• Strategic Entry Support for New Entrants: Expert-backed recommendations to navigate market entry challenges, establish a strong presence, and accelerate growth in unfamiliar markets.
• Accurate Long-Term Market Projections: Trusted forecasts spanning 2025 to 2035, including key milestones for 2025, 2026, and 2030, empowering data-driven decision-making for sustainable investments.
• Comprehensive Market Trend Analysis: A deep dive into market drivers, barriers, emerging opportunities, and potential risks, alongside insights into high-growth investment areas and industry challenges.
• Actionable Business Strategies: Data-powered recommendations customized for key market segments, supported by rigorous market assessments to maximize profitability.
• Competitive Landscape Mapping: Uncover prevailing industry trends, competitor tactics, and untapped opportunities to refine your market approach and stay ahead.
• Exclusive Company Profiles: Detailed evaluations of leading market players, covering business models, financial health, strategic moves, and recent advancements.
• Next-Gen Supply Chain Trends: Cutting-edge insights into technological innovations revolutionizing supply chain operations, enhancing efficiency, and reducing costs.

This report equips you with the intelligence needed to make informed, forward-thinking business decisions in a rapidly evolving market landscape.

FAQs:

Key Questions Answered in the Report.

1. What was the Artificial Intelligence (AI) in Life Sciences Market size in 2025?

2. What is projected growth rate of the Artificial Intelligence (AI) in Life Sciences Market during 2025-2035?

3. What are the key factors driving the Artificial Intelligence (AI) in Life Sciences Market growth?

4. What are leading players in the Artificial Intelligence (AI) in Life Sciences Market?

5. What are the key regions analyzed in the Artificial Intelligence (AI) in Life Sciences Market?

6. Which region is dominating in the Artificial Intelligence (AI) in Life Sciences Market?