Core Insights - The pharmaceutical industry faces significant challenges, including high costs, long development times, and low success rates for new drugs, with an average cost exceeding $1 billion and a failure rate of about 90% during clinical trials [1][3] - AI is positioned as a transformative tool to enhance drug development efficiency and speed, with capabilities in target discovery, validation, and new molecular structure identification [3][5] Industry Trends - The integration of AI in drug development is becoming a key focus for multiple countries' industrial policies, with China's Ministry of Industry and Information Technology outlining a plan for the digital transformation of the pharmaceutical industry from 2025 to 2030 [3][4] - The global AI pharmaceutical market is projected to reach $5.62 billion by 2028, with long-term forecasts estimating a market size between $28 billion and $53 billion [3][4] Market Dynamics - China's AI pharmaceutical sector is expected to experience rapid growth, with market size anticipated to exceed 500 billion RMB by 2030, maintaining a compound annual growth rate of over 15% [4] - Over 100 AI pharmaceutical companies are currently operating in China, primarily concentrated in regions such as Beijing, the Yangtze River Delta, and the Guangdong-Hong Kong-Macau Greater Bay Area [3][4] Competitive Advantages - China possesses a complete supply chain for high-flexibility and high-precision robotics, providing a competitive edge in AI drug development [5] - The ability to generate standardized data through robotics is seen as a critical factor in the success of drug development processes [5] Challenges and Considerations - The rise of AI in pharmaceuticals necessitates a data accumulation process, including both positive and negative standardized data within the industry [5] - The industry must foster a unified understanding and collaborative action among stakeholders, including professionals, investors, and policymakers, to advance the AI drug development ecosystem [5]
赋能新药研发 AI助力破解传统制药困局
Zhong Guo Xin Wen Wang·2025-10-12 13:12