AI for Drug Discovery and Development Market Is Booming So Rapidly | Major Giants Exscientia, NVIDIA Corporation

According to HTF Market Intelligence, the Global AI for Drug Discovery and Development market to witness a CAGR of 29.6% during the forecast period (2025-2030). The Latest Released AI for Drug Discovery and Development Market Research assesses the future growth potential of the AI for Drug Discovery and Development market and provides information and useful statistics on market structure and size.

This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the AI for Drug Discovery and Development market. The AI for Drug Discovery and Development market size is estimated to increase by USD at a CAGR of 29.6% by 2030. The report includes historic market data from 2025 to 2030. The Current market value is pegged at USD .

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The Major Players Covered in this Report: Microsoft Corporation (United States), Exscientia (United Kingdom), NVIDIA Corporation (United States), Schrödinger (United States), Atomwise, Inc. (United States), BenevolentAI (United Kingdom), NuMedi (United States), Google (United States), Insilico Me

Definition:
AI for Drug Discovery and Development refers to the application of artificial intelligence (AI), machine learning (ML), deep learning, and data analytics in various stages of pharmaceutical R&D. AI is used to identify drug targets, generate new drug candidates, predict drug-likeness and toxicity, optimize molecular structures, repurpose existing drugs, and design efficient clinical trials. The goal is to reduce costs, accelerate timelines, and improve success rates in drug development.

Market Trends:
• Rapid growth in AI-biotech collaborations (e.g., Pfizer + IBM, Sanofi + Exscientia).
• Increasing adoption of generative AI for de novo molecule design.
• Use of natural language processing (NLP) to mine biomedical literature and patents.
• Expansion of AI p

Market Drivers:
• Rising R&D costs and time-to-market pressure on pharmaceutical companies.
• Availability of large biomedical datasets (e.g., PubChem, DrugBank, genomic repositories).
• Increasing AI capabilities in predictive modeling and biomarker discovery.
• Growing need

Market Opportunities:
• Acceleration of drug discovery for rare diseases, cancers, and infectious diseases.
• Rising demand for AI platforms in academic research, biotech startups, and CROs.
• Opportunity to repurpose existing drugs cost-effectively using AI.
• Expansion of cloud-b

Market Challenges:
• Limited data standardization and interoperability across sources and platforms.
• Difficulty in validating AI-predicted molecules through real-world experimental pipelines.
• Shortage of AI talent with deep pharma/biotech domain knowledge.
• Intellectual pro

Market Restraints:
• Regulatory uncertainty around AI-augmented drug discovery pipelines (e.g., FDA, EMA).
• Concerns over data privacy and patient consent, especially in genomics-driven models.
• High implementation and integration costs, especially for smaller firms.
• Lack of

Dominating Region:
• North America, Europe

Fastest-Growing Region:
• APAC, Middle East & Africa

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The titled segments and sub-sections of the market are illuminated below:
In-depth analysis of AI for Drug Discovery and Development market segments by Types: by Technology (Machine Learning, Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Other Machine Learning Technologies, Other Technologies)
Detailed analysis of AI for Drug Discovery and Development market segments by Applications: by Application (Immuno-oncology, Neurodegenerative diseases W, Cardiovascular diseases, Metabolic diseases, Other Applications)

Major Key Players of the Market: Microsoft Corporation (United States), Exscientia (United Kingdom), NVIDIA Corporation (United States), Schrödinger (United States), Atomwise, Inc. (United States), BenevolentAI (United Kingdom), NuMedi (United States), Google (United States), Insilico Me

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report:
- -To carefully analyse and forecast the size of the AI for Drug Discovery and Development market by value and volume.
- -To estimate the market shares of major segments of the AI for Drug Discovery and Development market.
- -To showcase the development of the AI for Drug Discovery and Development market in different parts of the world.
- -To analyse and study micro-markets in terms of their contributions to the AI for Drug Discovery and Development market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the AI for Drug Discovery and Development market.
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI for Drug Discovery and Development market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Global AI for Drug Discovery and Development Market Breakdown by Application (Immuno-oncology, Neurodegenerative diseases W, Cardiovascular diseases, Metabolic diseases, Other Applications) by Offering (Software, Services) by Technology (Machine Learning, Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Other Machine Learning Technologies, Other Technologies) by End User (Pharmaceutical & biotechnology companies, Contract research organizations, Research centers and academic & government institutes) and by Geography (North America, South America, Europe, Asia Pacific, MEA)

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Key takeaways from the AI for Drug Discovery and Development market report:
- Detailed consideration of AI for Drug Discovery and Development market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets.
- Comprehensive valuation of all prospects and threats in the
- In-depth study of industry strategies for growth of the AI for Drug Discovery and Development market-leading players.
- AI for Drug Discovery and Development market latest innovations and major procedures.
- Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market.
- Conclusive study about the growth conspiracy of AI for Drug Discovery and Development market for forthcoming years.

Major questions answered:
- What are influencing factors driving the demand for AI for Drug Discovery and Development near future?
- What is the impact analysis of various factors in the Global AI for Drug Discovery and Development market growth?
- What are the recent trends in the regional market and how successful they are?
- How feasible is AI for Drug Discovery and Development market for long-term investment?

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Major highlights from Table of Contents:
AI for Drug Discovery and Development Market Study Coverage:
- It includes major manufacturers, emerging player's growth story, and major business segments of AI for Drug Discovery and Development Market - Global Trend and Outlook to 2031 market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- AI for Drug Discovery and Development Market - Global Trend and Outlook to 2031 Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- AI for Drug Discovery and Development Market Production by Region AI for Drug Discovery and Development Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
Key Points Covered in AI for Drug Discovery and Development Market Report:
- AI for Drug Discovery and Development Overview, Definition and Classification Market drivers and barriers
- AI for Drug Discovery and Development Market Competition by Manufacturers
- AI for Drug Discovery and Development Capacity, Production, Revenue (Value) by Region (2025-2030)
- AI for Drug Discovery and Development Supply (Production), Consumption, Export, Import by Region (2025-2030)
- AI for Drug Discovery and Development Production, Revenue (Value), Price Trend by Type {by Technology (Machine Learning, Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Other Machine Learning Technologies, Other Technologies)}
- AI for Drug Discovery and Development Market Analysis by Application {by Application (Immuno-oncology, Neurodegenerative diseases W, Cardiovascular diseases, Metabolic diseases, Other Applications)}
- AI for Drug Discovery and Development Manufacturers Profiles/Analysis AI for Drug Discovery and Development Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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This release was published on openPR.