AI in Biotechnology Market worth $22.72 billion by 2035
The report "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", 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.
Browse 471 market data Tables and 54 Figures spread through 397 Pages and in-depth TOC on "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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Growth is primarily driven by the increasing adoption of AI in drug discovery, genomics, and precision medicine, which accelerates research and improves therapeutic development outcomes. Rising investments in biotechnology, the integration of machine learning and predictive analytics, and the availability of large-scale genomic and clinical datasets further support market expansion. Moreover, advancements in cloud computing, automation, and AI-driven analytics enhance scalability, collaboration, and efficiency, enabling pharmaceutical companies, biotechnology firms, and research institutes to leverage AI for innovative, data-driven solutions.
“The end-to-end solutions segment accounted for the largest share of the AI in biotechnology market, by offering.”
In 2024, the end-to-end solutions segment accounted for the largest share of the AI in biotechnology market, driven by the rising demand for integrated platforms that combine data management, analytics, and automation across the entire biotechnology workflow. These solutions enable seamless collaboration between research teams, streamline drug discovery, genomics, and precision medicine processes, and improve decision-making through real-time insights. Their ability to support large-scale data integration, predictive modeling, and regulatory compliance makes them particularly attractive to pharmaceutical and biotechnology companies, reinforcing their dominant market position.
“The manufacturing and supply chain segment accounted for the second-highest CAGR during the forecast period, by function.”
In 2024, the manufacturing and supply chain segment accounted for the second-highest CAGR of the AI in biotechnology market, driven by the increasing use of AI to optimize production processes, inventory management, and distribution logistics. AI-powered predictive analytics help minimize downtime, reduce costs, and ensure the timely delivery of biopharmaceuticals. Additionally, the integration of machine learning and automation enhances supply chain transparency, risk management, and operational efficiency, making AI solutions increasingly valuable for pharmaceutical and biotechnology companies aiming to streamline end-to-end manufacturing and distribution workflows.
“North America dominated the AI in biotechnology market in 2024.”
In 2024, North America reinforced its position as the leading region in the AI in biotechnology market, driven by the presence of a large number of established biotechnology and pharmaceutical companies, substantial R&D investments, and advanced technological infrastructure. The region’s strong focus on precision medicine, drug discovery, and genomics research, coupled with supportive government initiatives and widespread adoption of AI-powered platforms, further accelerates market growth. Additionally, collaborations between AI solution providers and life science organizations enhance innovation and strengthen North America’s dominance in the global AI in Biotechnology landscape. The growing availability of high-quality genomic and clinical data, along with skilled AI professionals, further supports the rapid deployment and scalability of AI solutions across the region.
Key Players
The key players functioning in the AI in biotechnology 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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