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AI In Biotechnology Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The AI in biotechnology market has seen substantial growth in recent years. Its valuation is expected to rise from $5.52 billion in 2025 to $6.87 billion in 2026, at a compound annual growth rate (CAGR) of 24.4%. This historical expansion can be linked to several factors: an increase in biological data availability, the early adoption of bioinformatics, escalating drug development costs, a need for more rapid diagnostics, and the widening scope of genomics research.
The AI in biotechnology market size is anticipated to undergo significant expansion over the coming years. It is projected to reach $16.32 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.1%. This projected growth throughout the forecast period is primarily fueled by advancements in machine learning algorithms, the increasing adoption of precision medicine, heightened AI investment within the life sciences sector, the need for more cost-effective drug development, and the integration of AI with laboratory automation. Important trends expected in this period encompass AI driven drug discovery, predictive genomics analysis, automated clinical trial optimization, AI enabled diagnostics, and data centric personalized medicine.
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AI In Biotechnology Market Demand Drivers: What Is Fueling Industry Growth?
The future expansion of the AI in biotechnology market is anticipated to be significantly boosted by the rising integration of AI. Artificial intelligence (AI) involves machines, particularly computer systems, replicating human intelligence functions to carry out tasks like learning, logical inference, and problem-solving. The expanded uptake of artificial intelligence (AI) is fueled by its capacity to boost efficiency, precision, and decision-making across various industries, evidenced by its ability to automatically analyze intricate data with unwavering accuracy. Within biotechnology, AI contributes positively by speeding up drug discovery, refining research workflows, and facilitating sophisticated predictive models for better healthcare results. As an illustration, in October 2024, data from the Department for Science, Innovation & Technology (DSIT), a UK-based government agency, indicated that the increasing embrace of artificial intelligence (AI) in 2023 led to a 17% rise in AI companies (+543), a 34% surge in AI-related revenues (+£3.6 billion), a 29% increase in employment (+14,500), and a nearly 57% jump in gross value added (GVA) (+£2.1 billion) compared to the 2022 report. Consequently, the growing integration of AI is propelling the expansion of the AI in biotechnology market.
AI In Biotechnology Market Categorization By Product Type And Application
The AI in biotechnology market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Application: Drug Discovery And Development, Clinical Trials And Optimization, Medical Imaging, Diagnostics, Other Applications
3) By End User: Pharmaceutical Companies, Biotechnology Companies, Academic And Research Institutes, Healthcare Providers, Contract Research Organization (CRO) And Contract Development And Manufacturing Organization (CDMO), Other End Users
Subsegments:
1) By Software: AI-Powered Data Analytics Tools, Machine Learning Algorithms, Bioinformatics Software, Drug Discovery Platforms, Clinical Trial Management Software
2) By Hardware: High-Performance Computing (HPC) Systems, AI-Integrated Imaging Devices, Data Storage Solutions, Laboratory Automation Equipment, Wearable Health Monitoring Devices
3) By Services: AI Implementation And Integration Services, Consulting And Training Services, Cloud-Based AI Solutions, Maintenance And Support Services, Custom AI Model Development
AI In Biotechnology Market Trends Reshaping Industry Growth
Major companies operating in the AI in biotechnology market are concentrating on creating technological innovations, such as AI-powered antibody discovery platforms, to establish a competitive advantage. An AI-driven antibody discovery platform functions as a sophisticated system utilizing artificial intelligence to quickly pinpoint and refine therapeutic antibodies, thereby facilitating accelerated and more economical drug development, alongside better biopharmaceutical outcomes. For instance, in February 2023, AION Labs, an Israel-based venture studio, launched DenovAI, a platform dedicated to the *de novo* discovery of therapeutic antibodies. This advanced solution integrates machine learning with computational biophysics to identify high-affinity antibody candidates, offering improved precision, increased sequence diversity, and considerably shorter development timelines. DenovAI signifies a crucial progression in biotechnology, allowing for swifter, more cost-effective drug discovery and enhancing the potential for clinical success across a broader array of diseases.
AI In Biotechnology Market Company Landscape And Strategic Competition
Major companies operating in the AI in biotechnology market are Google LLC, Pfizer Inc., Johnson & Johnson Services Inc., F. Hoffmann-La Roche Ltd., International Business Machines Corporation (IBM), Bayer AG, Sanofi S.A., Bristol-Myers Squibb Company, AstraZeneca Plc, Abbott Laboratories, Novartis AG, Roivant Sciences Ltd., Gilead Sciences Inc., NVIDIA Corporation, Amgen Inc., Novo Nordisk A/S, Merck KGaA, Biogen Inc., CareDx Inc., Clario Inc., BenevolentAI Limited, Recursion Pharmaceuticals Inc., Insilico Medicine Inc., Genesis Therapeutics Inc.
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AI In Biotechnology Market Geographic Analysis: Where Is Demand Growing The Fastest?
North America was the largest region in the AI in biotechnology market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in biotechnology market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
