Artificial Intelligence (AI) in Life Sciences Market Size, Share and Growth Graph by 2032

The Artificial Intelligence (AI) in Life Sciences Market Report 2025 offers an extensive analysis of the Artificial Intelligence (AI) in Life Sciences Market industry, delivering vital data and insights on market dynamics, such as growth drivers, challenges, and future potential. It covers Artificial Intelligence (AI) in Life Sciences Market components in detail, spotlighting opportunities and trends likely to shape the industry’s future. Executives, managers, analysts, and stakeholders can benefit from the report's SWOT analysis, which examines competitive strengths, vulnerabilities, opportunities, and threats affecting key players in the market.

According to Straits Research, the global Artificial Intelligence (AI) in Life Sciences Market revenue was valued at USD 2.72 Billion in 2023 and is expected to grow from USD 3.51 Billion in 2024 to USD 27.34 Billion by 2032, with a projected CAGR of 29.23% over the forecast period (2024–2032).

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Key Artificial Intelligence (AI) in Life Sciences Market Players

The report identifies top industry players, including

1. NuMedii Inc.
2. Atomwise Inc.
3. IBM Corporation
4. AiCure LLC
5. Nuance Communications Inc.
6. Sensely Inc.
7. Sophia Genetics SA
8. Insilico Medicine Inc.
9. Enlitic Inc.
10. Apixio Inc.
11. Zebra Medical Vision
12. twoXAR Inc.

among others, providing insights into their strategies and market influence.

Artificial Intelligence (AI) in Life Sciences Market Segmentation

The report segments the Artificial Intelligence (AI) in Life Sciences Market into various components, offering detailed insights into each segment’s potential and growth prospects.

1. By Technology
   1. Machine Learning (ML)
   2. Deep Learning (DL)
   3. Natural Language Processing (NLP)
   4. Others
2. By Application
   
   1. Drug Discovery
   2. Medical Diagnosis
   3. Biotechnology
   4. Clinical Trials
   5. Precision and Personalized Medicine
   6. Patient Monitoring
   7. Novel Drug Candidates
   8. Drug Optimization and Repurposing Preclinical Testing and Approval
   9. Drug Monitoring
   10.  Finding New Diseases Associated Targets and Pathways
   11.  Understanding Disease Mechanisms
   12.  Aggregating and Synthesizing Information
   13.  Formation & Qualification of Hypotheses
   14.  De Novo Drug Design
   15.  Finding Drug Targets of an Old Drug
3. By Drug Type
   1. Small Molecule
   2. Large Molecule
4. By Offering
   1. Software
   2. Services
5. By Indication
   1. Immuno-Oncology
   2. Neurodegenerative Diseases
   3. Cardiovascular Diseases
   4. Metabolic Diseases
   5. Others
6. By End user
   1. Pharmaceutical & Biotechnology Companies
   2. Contract Research Organizations (CROs)
   3. Research Centres And Academic Institutes
   4. Others

For more details: https://straitsresearch.com/report/artificial-intelligence-in-life-sciences-market/segmentation

Regional Analysis for Artificial Intelligence (AI) in Life Sciences Market

The regional analysis offers a comprehensive view of the Artificial Intelligence (AI) in Life Sciences Market sales and growth across global and country-level markets. It provides volume and market size data by region, with insights into growth trends in countries like the United States, Canada, Germany, France, China, Japan, and more. The analysis also covers major regions such as North America, Europe, Asia-Pacific, South America, and the Middle East & Africa.

Key Reasons to Invest in This Report

• Comprehensive Insights: Access in-depth data, research, and analysis that are often difficult to gather independently.
• Informed Decision-Making: Enhance strategic planning and decision-making with detailed market insights.
• Competitive Advantage: Stay competitive with insights into market dynamics and competitor strategies.
• Cost-Effective Research Solution: Gain comprehensive insights without the high cost of independent research.

Artificial Intelligence (AI) in Life Sciences Market Report Highlights

• Market Size Overview: Includes sales volume and value estimates for the Artificial Intelligence (AI) in Life Sciences Market.
• Market Dynamics: Analyzes the major drivers, opportunities, and challenges in the Artificial Intelligence (AI) in Life Sciences Market.
• Global and Regional Economic Impacts: Assesses how global economic factors, including inflation and geopolitical conflicts, impact the Artificial Intelligence (AI) in Life Sciences Market.
• Trade Flow Analysis: Offers insights into import and export trends across key regions.
• Value Chain Analysis: Provides a detailed look at the Artificial Intelligence (AI) in Life Sciences Market industry’s supply chain, from raw materials to downstream customers.
• Industry Policies and Regulations: Summarizes current policies and regulatory updates affecting the Artificial Intelligence (AI) in Life Sciences Market.

Detailed Table of Content of Artificial Intelligence (AI) in Life Sciences Market report: @ https://straitsresearch.com/report/artificial-intelligence-in-life-sciences-market/toc

Key Unit Economics for C-Suite Consideration

The report details essential unit economics that Artificial Intelligence (AI) in Life Sciences Market manufacturers should track, including:

• Cost of Goods Sold (COGS), R&D Costs, SG&A Expenses
• Distribution, Warranty, and After-Sales Costs
• Revenue per Unit and Gross Margin
• Break-even Point and Customer Acquisition Costs (CAC)
• Customer Lifetime Value (LTV)
• Capital Expenditures (CapEx) and Economies of Scale
• Profit Margin

COVID-19 and Geopolitical Impact

The report also covers the COVID-19 impact on the Artificial Intelligence (AI) in Life Sciences Market market, providing pre- and post-pandemic analysis by type, application, and customer sector. It explores the effects of recent geopolitical events, including the Russia-Ukraine conflict, on market conditions and growth potential. Customization options allow users to tailor the report to their specific needs.

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