AI In Biotechnology Global Market Report 2026

Artificial intelligence (AI) in biotechnology involves the application of machine learning and data-driven algorithms to interpret biological data and accelerate scientific research. It plays a vital role in areas such as drug discovery, genomics, diagnostics, and personalized medicine by recognizing patterns and forecasting outcomes. AI improves operational efficiency, reduces research costs, and provides deeper insights into complex biological systems, fueling innovation in healthcare and life sciences.

The primary components of AI in biotechnology include software, hardware, and services. Software in this context consists of sophisticated computational tools and algorithms that analyze biological data, simulate complex biological systems, and speed up processes such as drug development, genomic analysis, and precision medicine. It supports applications such as drug discovery and development, clinical trial optimization, medical imaging, diagnostics, and more, serving end users such as pharmaceutical and biotechnology companies, academic and research institutions, healthcare providers, contract research organizations (CROs), contract development and manufacturing organizations (CDMOs), and others.

Tariffs have impacted the AI in biotechnology market by increasing costs of high performance computing systems, laboratory automation equipment, and advanced imaging devices. Biotechnology firms deploying AI driven research platforms face higher capital expenditures. North America, Europe, and Asia Pacific are most affected due to reliance on global equipment suppliers. These tariffs can slow adoption for smaller research organizations. However, tariffs are encouraging local manufacturing of biotech instruments and computing infrastructure. This is strengthening regional life sciences ecosystems and long term innovation capacity.

The AI in biotechnology market research report is one of a series of new reports from The Business Research Company that provides AI in biotechnology market statistics, including AI in biotechnology industry global market size, regional shares, competitors with a AI in biotechnology market share, detailed AI in biotechnology market segments, market trends and opportunities, and any further data you may need to thrive in the AI in biotechnology industry. This AI in biotechnology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in biotechnology market size has grown exponentially in recent years. It will grow from $5.52 billion in 2025 to $6.87 billion in 2026 at a compound annual growth rate (CAGR) of 24.4%. The growth in the historic period can be attributed to growth of biological data availability, early bioinformatics adoption, rising drug development costs, demand for faster diagnostics, expansion of genomics research.

The AI in biotechnology market size is expected to see exponential growth in the next few years. It will grow to $16.32 billion in 2030 at a compound annual growth rate (CAGR) of 24.1%. The growth in the forecast period can be attributed to advancements in machine learning algorithms, expansion of precision medicine, increasing AI investment in life sciences, demand for cost efficient drug development, integration of AI with laboratory automation. Major trends in the forecast period include AI driven drug discovery, predictive genomics analysis, automated clinical trial optimization, AI enabled diagnostics, data centric personalized medicine.

The growing adoption of artificial intelligence (AI) is anticipated to drive the expansion of the AI in biotechnology market. AI refers to the simulation of human cognitive functions by machines, particularly computer systems, to execute tasks such as learning, reasoning, and problem-solving. The rise in AI adoption is fueled by its ability to improve efficiency, precision, and decision-making across a wide range of industries, particularly through automating complex data analysis with high accuracy. In biotechnology, AI significantly accelerates drug discovery, streamlines research processes, and enhances predictive modeling, ultimately contributing to better healthcare outcomes. For example, in October 2024, the UK's Department for Science, Innovation & Technology (DSIT) reported a notable increase in AI activity in 2023, including a 17% rise in the number of AI companies (+543), a 34% boost in AI-generated revenue (+£3.6 billion), a 29% growth in employment (+14,500), and a nearly 57% increase in gross value added (GVA) (+£2.1 billion) compared to 2022. As a result, the expanding adoption of AI is propelling growth in the AI-driven biotechnology market.

Leading companies in the AI in biotechnology sector are prioritizing the development of advanced technologies, such as AI-powered platforms for antibody discovery, to strengthen their market position. These platforms leverage AI to efficiently identify and optimize therapeutic antibodies, accelerating drug development while reducing costs and improving clinical outcomes. For instance, in February 2023, AION Labs, a venture studio based in Israel, introduced DenovAI-an innovative platform dedicated to the de novo discovery of therapeutic antibodies. This state-of-the-art system integrates machine learning with computational biophysics to identify high-affinity antibody candidates, offering greater sequence diversity, enhanced precision, and shorter development cycles. DenovAI represents a significant leap in biotechnology, facilitating faster, more affordable drug discovery and increasing the likelihood of clinical success across various disease areas.

In February 2025, Incyte Corporation, a U.S.-based biopharmaceutical firm, entered into a strategic partnership with Genesis Therapeutics Inc. to harness the potential of AI in enhancing drug discovery efficiency. The partnership combines Incyte's deep expertise in drug development with Genesis Therapeutics' proprietary AI platform to accelerate the discovery and refinement of innovative small molecule therapies for targeted oncology treatments. Genesis Therapeutics Inc. is a U.S.-based biotechnology company that specializes in AI-powered drug discovery, aiming to revolutionize therapeutic development through advanced technological applications.

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.

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.

The countries covered in the AI in biotechnology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in biotechnology market consists of revenues earned by entities providing services such as genomics analysis, precision medicine development, biomanufacturing optimization, and AI-driven diagnostics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in biotechnology market also includes sales of bioinformatics tools, automation systems, and AI-integrated laboratory equipment. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Biotechnology Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses AI in biotechnology market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for AI in biotechnology ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The AI in biotechnology market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered: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
• Companies Mentioned: 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.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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