Artificial Intelligence in Drug Discovery Market Research Report: Sales, Volume, Revenue and Players Analysis 2025
On Nov 27, Global Info Research released "Global Artificial Intelligence in Drug Discovery Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031". This report includes an overview of the development of the Artificial Intelligence in Drug Discovery industry chain, the market status of Artificial Intelligence in Drug Discovery Market, and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial Intelligence in Drug Discovery.
According to our (Global Info Research) latest study, the global Artificial Intelligence in Drug Discovery market size was valued at US$ 2995 million in 2025 and is forecast to a readjusted size of USD million by 2032 with a CAGR of % during review period.
Artificial intelligence in medicine is the use of machine learning models to search medical data and uncover insights to help improve health outcomes and patient experiences. Thanks to recent advances in computer science and informatics, artificial intelligence (AI) is quickly becoming an integral part of modern healthcare. AI algorithms and other applications powered by AI are being used to support medical professionals in clinical settings and in ongoing research. Currently, the most common roles for AI in medical settings are clinical decision support and imaging analysis. Clinical decision support tools help providers make decisions about treatments, medications, mental health and other patient needs by providing them with quick access to information or research that's relevant to their patient. Drug discovery is often one of the longest and most costly parts of drug development. AI could help reduce the costs of developing new medicines in primarily two ways: creating better drug designs and finding promising new drug combinations. With AI, many of the big data challenges facing the life sciences industry could be overcome.
The market for artificial intelligence (AI) in drug discovery is driven by the urgent need to accelerate and reduce the cost of developing new therapeutics, as traditional drug discovery is often slow, expensive, and prone to high failure rates. AI enables rapid identification of drug candidates, predictive modeling of drug-target interactions, and optimization of clinical trial design, significantly shortening development timelines. The explosion of biomedical data, including genomics, proteomics, and real-world clinical datasets, provides a rich foundation for AI algorithms to uncover novel insights. Additionally, rising investment from pharmaceutical companies, biotech firms, and venture capital in AI-driven platforms—combined with advances in deep learning, natural language processing, and generative models—is propelling adoption. Regulatory agencies’ increasing openness to AI-assisted drug development workflows also supports the growth of this transformative sector.
This report is a detailed and comprehensive analysis for global Artificial Intelligence in Drug Discovery market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Sample Report Request Artificial Intelligence in Drug Discovery
https://www.globalinforesearch.com/reports/3389382/artificial-intelligence-in-drug-discovery
Market segment by Type: Hardware、 Software、 Service
Market segment by Application: Early Drug Discovery、 Preclinical Phase、 Clinical Phase、 Regulatory Approval
Major players covered: IBM、 Exscientia、 Google(Alphabet)、 Microsoft、 Atomwise、 Schrodinger、 Aitia、 Insilico Medicine、 NVIDIA、 XtalPi、 BPGbio、 Owkin、 CytoReason、 Deep Genomics、 Cloud Pharmaceuticals、 BenevolentAI、 Cyclica、 Verge Genomics、 Valo Health、 Envisagenics、 Euretos、 BioAge Labs、 Iktos、 BioSymetrics、 Evaxion Biotech、 Aria Pharmaceuticals, Inc
Market segment by region, regional analysis covers: North America (United States, Canada and Mexico), Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe), Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),South America (Brazil, Argentina, Colombia, and Rest of South America),Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Artificial Intelligence in Drug Discovery product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Artificial Intelligence in Drug Discovery, with price, sales, revenue and global market share of Artificial Intelligence in Drug Discovery from 2020 to 2025.
Chapter 3, the Artificial Intelligence in Drug Discovery competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Artificial Intelligence in Drug Discovery breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2020 to 2024.and Artificial Intelligence in Drug Discovery market forecast, by regions, type and application, with sales and revenue, from 2025 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Artificial Intelligence in Drug Discovery.
Chapter 14 and 15, to describe Artificial Intelligence in Drug Discovery sales channel, distributors, customers, research findings and conclusion.
Data Sources:
Via authorized organizations:customs statistics, industrial associations, relevant international societies, and academic publications etc.
Via trusted Internet sources.Such as industry news, publications on this industry, annual reports of public companies, Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), Trading Economics, News Network, Statista, Federal Reserve Economic Data, BIS Statistics, ICIS, Companies House Documentsm, investor presentations, SEC filings of companies, etc.
Via interviews. Our interviewees includes manufacturers, related companies, industry experts, distributors, business (sales) staff, directors, CEO, marketing executives, executives from related industries/organizations, customers and raw material suppliers to obtain the latest information on the primary market;
Via data exchange. We have been consulting in this industry for 16 years and have collaborations with the players in this field. Thus, we get access to (part of) their unpublished data, by exchanging with them the data we have.
Via our long-term tracking and gathering of data from this industry.We have a database that contains history data regarding the market.
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