Artificial Intelligence Drug R&D Market size was valued at USD 5.55 Billion in 2024 and is projected to reach USD 30.94 Billion by 2033, exhibiting a CAGR of 22.4% from 2026 to 2033.
In 2022, the global artificial intelligence (AI) in drug discovery market was valued at approximately USD 1.36 billion, with projections indicating growth to USD 9.1 billion by 2030, reflecting a compound annual growth rate (CAGR) of 23.54%. North America led the market, holding a 57.7% share in 2023, driven by substantial investments in healthcare technology and collaborations between pharmaceutical companies and tech firms. The United States, in particular, emerged as a global hub for AI in drug discovery, supported by a progressive regulatory environment and significant mergers and acquisitions aimed at integrating AI capabilities into drug development processes.Europe held the second largest market share in 2022, with countries like Germany and the UK contributing significantly due to strong research infrastructures and favorable regulatory frameworks supporting AI integration in healthcare. The Asia Pacific region is anticipated to experience the fastest growth by 2030, propelled by increasing adoption of AI technologies in countries such as China and India. These nations are investing heavily in AI to accelerate drug discovery, enhance clinical trial efficiency, and address unmet medical needs. This regional expansion presents substantial opportunities for AI driven innovations to streamline drug development and introduce novel therapies to the market.
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IBM Watson
BioXel
Insilico Medicine
Gatehouse Bio
Google DeepMind
Genpact Cora
Cyclica Inc
QuantumBlack
Nq Medical
Phenomic AI
Palantir Technologies
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Artificial Intelligence Drug R&D Market
Oncology
Neurology
Cardiology
Infectious Diseases
Metabolic Disorders
Autoimmune Disorders
Machine Learning
Natural Language Processing
Deep Learning
Computer Vision
Robotics Process Automation
Drug Discovery
Preclinical Research
Clinical Trials
Patient Stratification
Adverse Event Prediction
Pharmaceutical Companies
Biotechnology Firms
Research Institutions
Contract Research Organizations (CROs)
Healthcare Providers
Cloud-based Solutions
On-premises Solutions
Hybrid Solutions
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Artificial Intelligence Drug R&D Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Artificial Intelligence Drug R&D Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Artificial Intelligence Drug R&D Market, By Type
6. Global Artificial Intelligence Drug R&D Market, By Application
7. Global Artificial Intelligence Drug R&D Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. Global Artificial Intelligence Drug R&D Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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