PUBLISHER: The Business Research Company | PRODUCT CODE: 1704447
PUBLISHER: The Business Research Company | PRODUCT CODE: 1704447
Generative AI in drug discovery utilizes advanced machine learning techniques, particularly generative models, to create and identify new pharmaceutical compounds. These AI systems analyze vast datasets encompassing chemical properties, biological activity, and existing drug information to predict and generate novel molecules with potential therapeutic benefits. The primary goal is to expedite the discovery of novel pharmaceutical compounds with therapeutic potential, streamlining the drug development process by leveraging extensive data to efficiently predict and generate new molecules.
The main types of generative artificial intelligence (AI) in drug discovery are small molecule and large molecule. Small molecules are chemically synthesized drugs with typically low molecular weights. Various technologies including deep learning, machine learning, reinforcement learning, molecular docking, and quantum computing are employed by a range of end-users, including pharmaceutical and biotechnology companies, academic and research institutions, contract research organizations (CROs), and others.
The generative artificial intelligence (AI) in drug discovery market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in drug discovery market statistics, including generative artificial intelligence (AI) in drug discovery industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in drug discovery market share, detailed generative artificial intelligence (AI) in drug discovery market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in drug discovery industry. This generative artificial intelligence (AI) in drug discovery 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 generative artificial intelligence (AI) in drug discovery market size has grown exponentially in recent years. It will grow from $0.19 billion in 2024 to $0.25 billion in 2025 at a compound annual growth rate (CAGR) of 30.9%. The growth in the historic period can be attributed to rising prevalence of chronic diseases, development of new drug discoveries and clinical trials, supporting AI integration into healthcare and drug development, growing biotech industries and increasing governmental support.
The generative artificial intelligence (AI) in drug discovery market size is expected to see exponential growth in the next few years. It will grow to $0.74 billion in 2029 at a compound annual growth rate (CAGR) of 30.6%. The growth in the forecast period can be attributed to demand for cost-effective drug discovery drives adoption of generative AI, growing collaborations among market players, increasing computational power, integration of generative AI with other emerging technologies and rapid drug development. Major trends in the forecast period include advanced technologies, integration of generative AI with experimental biology, high-throughput screening for accelerated drug discovery pipelines, development of AI-driven platforms for drug repurposing and rising adoption of cloud-based AI solutions for collaborative drug discovery efforts.
The growing number of clinical trials is expected to drive the expansion of generative AI in the drug discovery market. Clinical trials involve testing new medical treatments or procedures on human volunteers to assess their safety and effectiveness, with the goal of collecting scientific data on their suitability for human use. The increase in clinical trials can be attributed to several factors, including advancements in medical research, a rising disease burden, regulatory changes, the globalization of clinical research, greater patient advocacy and awareness, industry competition, technological innovations, and increased funding. Data from clinical trials enhances generative AI models, which accelerate drug discovery by predicting interactions and designing compounds. This collaboration enables personalized medicine, optimizes treatment effectiveness, enhances patient outcomes, and transforms the pharmaceutical industry. For example, in November 2023, the Association of the British Pharmaceutical Industry, a UK-based trade association, reported that the annual number of clinical trials launched in the UK rose by 4.3%, from 394 trials in 2021 to 411 in 2022. Therefore, the increasing number of clinical trials is driving the growth of generative AI in the drug discovery market.
Key players in the generative AI drug discovery market are developing sophisticated AI-powered tools to expedite drug development processes. These tools leverage AI and machine learning to streamline drug discovery, design, and clinical trials through predictive analytics. They enhance efficiency in target identification, compound screening, preclinical development, regulatory compliance, and manufacturing. For instance, in May 2023, Google Cloud introduced two groundbreaking AI-driven solutions, the Target and Lead Identification Suite and the Multiomics Suite. These solutions empower biotech, pharmaceutical, and public sector organizations by improving drug discovery and precision medicine. The Target and Lead Identification Suite aids researchers in understanding amino acid functions and predicting protein structures, while the Multiomics Suite accelerates genomic data analysis, facilitating the development of personalized treatments.
In May 2023, Recursion Pharmaceuticals acquired Cyclica and Valence for $40 million and $47.5 million, respectively, bolstering its drug discovery capabilities through advanced technologies. These acquisitions position Recursion as a prominent hub for top-tier professionals in machine learning and AI, poised to innovate and shape the future of drug discovery. Cyclica Inc., based in Canada, specializes in data-driven drug discovery and artificial intelligence. Valence Labs, also based in Canada, focuses on advancing AI in drug discovery.
Major companies operating in the generative artificial intelligence (AI) in drug discovery market are Bayer AG, NVIDIA Corporation, Merck KGaA, IBM Research, Schrodinger Inc., Valo Health, BenevolentAI, XtalPi Inc., Insilico Medicine Inc., Recursion Pharmaceuticals Inc., Exscientia, Atomwise Inc., InveniAI LLC, Healx, Aitia, Cloud Pharmaceuticals Inc., Optibrium, Aiforia, BioSymetrics Inc., Collaborations Pharmaceuticals Inc., MAbSilico, Reverie Labs, Standigm Inc., DeepMatter Group Limited, Variational AI Inc
North America was the largest region in the generative AI in drug discovery market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in drug discovery market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the generative artificial intelligence (AI) in drug discovery market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The generative AI in drug discovery market includes revenues earned by entities by providing services such as molecule generation, optimization, virtual screening, predictive modeling, de novo drug design, and consulting support. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in drug discovery market also includes sales of quantum computers, high-performance computing (HPC) clusters, tensor processing units, graphics processing units, and preclinical development tools. 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.
Generative Artificial Intelligence (AI) In Drug Discovery Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on generative artificial intelligence (ai) in drug discovery 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.
Where is the largest and fastest growing market for generative artificial intelligence (ai) in drug discovery ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) in drug discovery 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, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.