Date of Publication: 2025-Jul-14

The AI in Drug Discovery Market report provides a detailed analysis of the current landscape, outlining key insights into business strategies, market trends, and offering both qualitative and quantitative data. This comprehensive report covers critical aspects of the global market, including exploration of key drivers, challenges, growth prospects, and risks. It also presents an in-depth analysis of the competitive environment and regional variations within the AI in Drug Discovery industry.

The AI in drug discovery market size is estimated to grow from USD 1.8 billion in 2024 to reach USD 2.9 billion in 2025 and USD 13.4 billion by 2035, representing a higher CAGR of 16.5% during the forecast period. The study outlines key market segments and how they are evolving. It covers a range of important factors impacting the market, such as the introduction of new AI in Drug Discovery products, the expansion of market reach by existing companies, and changes in market demand. Strategic movements like mergers, acquisitions, product introductions, and partnerships are explored, offering a comprehensive view of how the market landscape is shifting. The report delivers insightful data on how companies are responding to these changes.

The AI in Drug Discovery Market is segmented by several factors.

Distribution by Drug Discovery Steps

• Target identification / validation
• Hit generation / lead identification
• Lead optimization

Distribution by Therapeutic Area

• Oncological disorders
• CNS disorders
• Infectious diseases
• Respiratory disorders
• Cardiovascular disorders
• Endocrine disorders
• Gastrointestinal disorders
• Musculoskeletal disorders
• Immunological disorders
• Dermatological disorders
• Others

The AI in Drug Discovery Market is analyzed across various regions, North America, Europe, Asia-Pacific, Latin America, Middle East and North Africa, Rest of the World. Each of these regions presents unique market dynamics, reflecting varying levels of market penetration, demand for sustainable agricultural practices, and local regulations that influence the adoption of AI in Drug Discovery solutions.

source of information: https://www.rootsanalysis.com/reports/ai-based-drug-discovery-market.html

Key companies in the AI in Drug Discovery Market include Aiforia Technologies, Atomwise, BioSyntagma, Chemalive, Collaborations Pharmaceuticals, Cyclica, DeepMatter, Recursion, InveniAI, MAbSilico, Optibrium, Recursion Pharmaceuticals, Sensyne Health, Valo Health. These industry leaders are committed to driving the market forward through innovation, with a focus on developing new and more effective AI in Drug Discovery products. Their strategies, which include strategic partnerships, mergers, and new product launches, are instrumental in expanding their reach and improving market share.

The report further provides an analysis of the AI in Drug Discovery industry using frameworks such as SWOT analysis, partnerships and collaborations, funding and investment analysis and Porter's Five Forces, helping to identify key areas of competition, potential risks, and strategic opportunities. This analysis gives stakeholders a deeper understanding of the market environment, providing crucial insights that can guide decision-making processes.

In conclusion, this report offers a comprehensive overview of the AI in Drug Discovery Market, shedding light on market trends, regional dynamics, and the competitive landscape. By providing a detailed analysis of current market conditions and prospects, this report serves as an essential resource for stakeholders seeking to navigate the evolving AI in Drug Discovery industry and make informed business decisions.

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