Top Companies in AI in Biotechnology Market

The global AI in biotechnology market is projected to reach USD 22.72 billion by 2035 from USD 4.16 billion in 2025, at a high CAGR of 18.5% during the forecast period. This rapid expansion is fueled by the increasing integration of AI technologies in drug discovery, personalized medicine, and genomics research. Advancements in machine learning algorithms, coupled with the growing availability of big data in the biotech sector, are enhancing predictive accuracy and operational efficiency. Additionally, rising investments from both private and public sectors, along with strategic collaborations between AI and biotech companies, are further propelling market growth. The convergence of AI and biotechnology is transforming healthcare solutions, enabling faster, more cost-effective, and precise interventions. As the technology matures, its adoption across various applications is expected to accelerate, driving innovation across the industry.

Two key strategies are driving growth in the AI in biotechnology market:

• The integration of advanced AI and machine learning tools into drug discovery and development processes is streamlining research, reducing time-to-market, and improving accuracy in identifying potential therapeutics.
• Strategic partnerships and collaborations between biotech firms, AI technology providers, and research institutions are accelerating innovation and expanding the scope of AI applications in genomics, personalized medicine, and diagnostics.

Together, these strategies are enhancing operational efficiency, driving technological adoption, and creating new opportunities for growth in the biotechnology sector.

Prominent players in the market include NVIDIA (US), Illumina, Inc. (US), Recursion (US), Schrödinger, Inc. (US), BenevolentAI (UK), Data4Cure, Inc. (US), Qiagen (Germany), Insilico Medicine (US), DNAnexus, Inc. (US), Tempus (US), SOPHiA GENETIC (Switzerland), Predictive Oncology (US), Deep Genomics (Canada), NuMedii, Inc. (US), XtalPi Inc. (China), Iktos (France), BPGbio, Inc. (US), Eurofins Discovery (US), VeriSIM Life (US), Lifebit (UK), Verge Genomics (US), Logica (US), American Chemical Society (US), and Aganitha AI Inc. (India).

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NVIDIA is a key player in the AI in biotechnology market, providing advanced GPU-accelerated computing and AI platforms that power drug discovery, genomics research, and molecular modeling. Its Clara platform and DGX systems enable researchers to process large-scale biological datasets, run complex simulations, and accelerate machine learning applications in life sciences. By offering scalable AI infrastructure and tools for predictive modeling, Nvidia helps biotech companies enhance research efficiency, reduce experimental costs, and drive innovation in personalized medicine and therapeutic development.

Illumina, Inc. leverages AI-driven genomic sequencing and data analytics to transform biotechnology and precision medicine. Through its NovaSeq and NextSeq sequencing platforms, coupled with advanced bioinformatics solutions, Illumina enables high-throughput analysis of genomic data, variant detection, and biomarker discovery. The integration of AI enhances the interpretation of complex datasets, supports drug target identification, and accelerates clinical research. By combining sequencing technology with AI, Illumina empowers researchers and healthcare providers to advance personalized therapies and improve patient outcomes.

Recursion harnesses artificial intelligence and automation to revolutionize drug discovery and development within the biotechnology sector. By integrating advanced AI models with high-throughput biological experimentation, Recursion’s platform generates and analyzes massive datasets to uncover novel drug targets and predict therapeutic efficacy across diverse disease areas. Leveraging advanced machine learning, computer vision, and proprietary biological maps, the company accelerates the identification of promising compounds and optimizes preclinical workflows. Through its data-driven approach and scalable AI infrastructure, Recursion enhances research precision, reduces time and cost in drug development, and drives innovation in developing personalized and effective treatments for complex diseases.

MARKET RANKING

The market for AI in biotechnology is shaped by several leading players driving the integration of artificial intelligence and machine learning across drug discovery, genomics, and molecular research. NVIDIA provides high-performance GPU computing and AI platforms that accelerate large-scale biological data processing, predictive modeling, and molecular simulations. Illumina, Inc. leverages AI-enhanced genomic sequencing and bioinformatics tools to support precision medicine, biomarker discovery, and the analysis of complex datasets. Recursion employs AI-powered image analysis and automation to transform high-throughput biological experiments into actionable insights, facilitating rapid identification of novel drug candidates. Schrodinger, Inc. combines physics-based computational modeling with AI algorithms to enable efficient molecular design, virtual screening, and predictive analytics for drug development. BenevolentAI utilizes advanced machine learning and knowledge graph technologies to uncover complex biological relationships, optimize target identification, and accelerate the discovery of new therapeutics. Together, these companies are advancing the application of AI in biotechnology, enabling faster, more cost-effective, and precise research and development across the life sciences sector.

Related Reports:

AI in Biotechnology Market by Function (Drug Design & Optimization, Biomarker, SAR; Clinical Trial Design, Data Assessment, RWE, Inventory, Supply Chain, Logistics; Launch, Pricing, Patient Engagement, Adverse Events) and End User - Global Forecast to 2035

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