AI in Drug Discovery Market to Reach USD 15,536.2 Million by 2033 at 25.1% CAGR | Coherent Market Insights

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Increasing Adoption of AI-Powered Drug Development, Machine Learning Technologies, and Investments in Pharmaceutical Research Accelerate Global Market Growth. Copy…

Increasing Adoption of AI-Powered Drug Development, Machine Learning Technologies, and Investments in Pharmaceutical Research Accelerate Global Market Growth. Copy Sub-Headline

Burlingame, CA, Nov. 12, 2026 (GLOBE NEWSWIRE) -- The Global AI in Drug Discovery Market is estimated to be valued at USD 3,240.0 million in 2026 and is projected to reach USD 15,536.2 million by 2033, registering a compound annual growth rate (CAGR) of 25.1% during 2026–2033. Market growth is primarily driven by increasing public investments in AI-enabled biomedical research, growing adoption of artificial intelligence and machine learning technologies in pharmaceutical research, and rising demand for faster and more cost-effective drug development processes.

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Software is expected to dominate the global AI in drug discovery market with a share of 66.8% in 2026.

Based on technology, machine learning is projected to account for 47.6% of the AI in drug discovery market share in 2026.

By drug discovery process, hit identification and screening is slated to hold a market share of 26.1% in 2026.

North America is projected to dominate the global market with a 51.6% share in 2026, owing to strong pharmaceutical R&D investments, advanced healthcare infrastructure, and early adoption of AI technologies.

Asia Pacific, registering a CAGR of 27.2%, is poised to emerge as the fastest growing market for AI in drug discovery solutions during the forecast period, thanks to expanding pharmaceutical industries, rising investments in AI-driven research, and growing government support for drug discovery innovation.

Coherent Market Insights' latest AI in drug discovery market analysis outlines major factors spurring industry growth. These include increasing adoption of AI in pharmaceutical research, growing investments in AI-powered drug discovery platforms, and rising demand for faster and more cost-effective drug development.

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