Press release
AI in Drug Discovery and Development Market to hit US$ 34.05 billion by 2033 | Top 5 Companies are Atomwise Inc., BenevolentAI, BioMap, BioSymetrics, DEEP Genomics
Global AI in drug discovery and development market reached US$ 6.24 billion in 2024 and is expected to reach US$ 34.05 billion by 2033, growing at a CAGR of 18.5% during the forecast period 2025-2033.DataM Intelligence unveils its latest report on the "AI in Drug Discovery and Development Market Size 2025," offering an in-depth analysis of market trends, growth drivers, competitive landscape, and regional dynamics. The study covers market size in value and volume, CAGR forecasts, and emerging opportunities that can guide businesses in seizing growth potential and crafting winning strategies. Packed with data-driven insights on current developments and future trends, this report is essential for companies aiming to stay ahead in the competitive Market.
Global AI in Drug Discovery and Development Market showed resilience and upward growth in its early stages, moving from US$ 2.41 billion in 2022 to US$ 2.72 billion in 2023.
The Asia-Pacific region experienced robust growth, rising from US$ 0.43 billion in 2022 to US$ 0.49 billion in 2023, driven by increasing investments and expanding demand across emerging markets such as China and India.
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United States: Driving AI-Powered Drug Innovation
✅ October 2025 - InveniAI LLC launched its AI-driven subsidiary AlphaMeld Corporation, specializing in generative AI and machine learning for novel therapy discovery.
✅ September 2025 - Insilico Medicine announced an FDA submission for its AI-designed preclinical drug targeting fibrosis, marking a key regulatory milestone in AI-led discovery.
✅ August 2025 - Exscientia plc expanded its AI collaboration with Amazon Web Services (AWS) to accelerate virtual screening and molecule optimization.
✅ July 2025 - Recursion Pharmaceuticals integrated NVIDIA's BioNeMo platform to enhance molecular modeling for rare disease drug development.
✅ June 2025 - Schrödinger, Inc. partnered with Eli Lilly to deploy AI-accelerated molecular simulation for oncology drug programs.
Japan: Accelerating Precision Medicine with AI
✅ September 2025 - Fujitsu unveiled its AI drug discovery platform using quantum-inspired computing to simulate protein-ligand interactions at scale.
✅ August 2025 - Takeda Pharmaceutical expanded its partnership with PeptiDream Inc. to use AI for peptide-based therapeutic design and optimization.
✅ July 2025 - Sony AI launched an AI-driven molecule generation system for early-stage drug discovery in neuroscience.
✅ June 2025 - Astellas Pharma adopted AI-powered digital twins for simulating clinical outcomes and optimizing patient recruitment.
✅ May 2025 - RIKEN and NTT Data co-developed an AI platform to predict compound toxicity and improve preclinical safety assessments.
List of Top Key Player:
Alphabet (Google DeepMind), Atomwise Inc., BenevolentAI, BioMap, BioSymetrics, DEEP Genomics, Euretos, Exscientia, IBM, and Iktos
Industry Developments:
In January 2025, InveniAI LLC announced major milestones reflecting its dedication to transforming the drug development landscape. The company launched its wholly owned subsidiary, AlphaMeld Corporation, focused on advancing artificial intelligence (AI), generative AI, and machine learning (ML) technologies for developing innovative therapies.
In July 2024, Exscientia plc expanded its collaboration with Amazon Web Services (AWS) to leverage AWS's AI and ML capabilities for its end-to-end drug discovery and automation platform. This platform integrates generative AI models, scalable cloud infrastructure, and robotic lab automation to accelerate drug design while reducing development costs.
Forecast Projection:
The Global AI in Drug Discovery and Development Market is poised for significant growth between 2025 and 2032. In 2024, the market maintained a steady upward trajectory, and with strategic initiatives by leading players accelerating adoption, the market is expected to soar throughout the forecast period. Companies leveraging these trends are well-positioned to capture emerging opportunities and maximize revenue potential.
Market Intelligence Research Process:
The AI in Drug Discovery and Development Market research report by DataM Intelligence combines primary and secondary data to deliver deep, actionable insights. It examines the full spectrum of factors shaping the industry, from government regulations and market conditions to competitive dynamics, historical trends, technological breakthroughs, upcoming innovations, and potential challenges. This comprehensive analysis not only highlights growth prospects but also identifies barriers, equipping businesses to navigate market volatility and capitalize on emerging opportunities.
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Key Segmentation:
By Technology: Machine Learning, Natural Language Processing, Generative AI, Others
By Application: Target Discovery & Validation, Hit Discovery & Virtual Screening, Hit-to-Lead, Lead Optimization, Pre-Clinical Testing, Clinical Trials, Others
Global Growth Regional Analysis:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
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FAQ's
Q1: How large is the AI in Drug Discovery and Development Market?
Ans: The AI in Drug Discovery and Development Market size was valued at USD$ 6.24 billion in 2024 and is projected to grow to USD $ 34.05 billion by 2033.
Q2: How quickly is the AI in Drug Discovery and Development Market expanding?
Ans: The AI in Drug Discovery and Development Market is forecasted to grow at a CAGR of 18.5% between 2024 and 2031, showing strong growth momentum
Q3: Which regions are dominating the AI in Drug Discovery and Development Market and which are fastest-growing?
Ans: North America dominating the AI in Drug Discovery and Development market.
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