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    AI Drug Discovery Market Share

    ID: MRFR/Pharma/7918-CR
    200 Pages
    Rahul Gotadki
    July 2023

    Artificial Intelligence in Drug Discovery Market Research Report By Application (Target Identification, Lead Optimization, Drug Repurposing, Clinical Trials, Preclinical Testing), By Technology (Machine Learning, Natural Language Processing, Deep Learning, Knowledge Graphs, Robotic Process Automation), By End Use (Pharmaceutical Companies, Biotechnology Firms, Research Institutions, Academic In...

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    Market Share

    AI Drug Discovery Market Share Analysis

    The contemporary landscape is witnessing a pivotal surge in the role of artificial intelligence (AI) within the drug discovery market. This surge is attributed to software capabilities that facilitate the expeditious, cost-effective, and efficient transition of compounds from the discovery phase to market deployment, surpassing the efficacy of conventional methods. Notably, the burgeoning presence of AI-powered start-ups dedicated to drug discovery is reshaping the industry, with each entity focusing on distinct facets of the drug discovery process. A compelling illustration of this trend emerged in November 2020 when DeepMind Technologies, a subsidiary of Alphabet, Inc. based in the United Kingdom, introduced an AI solution named AlphaFold. This groundbreaking technology was specifically designed to address the protein folding problem, unlocking unprecedented possibilities for comprehending diseases and revolutionizing drug discovery methodologies. The advent of AlphaFold underscores the transformative impact of AI in decoding complex biological mechanisms, propelling advancements in understanding diseases at a molecular level. Similarly, in 2021, Standigm, a South Korean entity, made significant strides in AI-powered drug discovery by establishing a Synthetic Research Center. This strategic initiative aimed to attract top-tier medicinal chemists, mitigate drug discovery risks, and optimize the management of chemical libraries. Standigm's medical team collaborates actively with AI scientists, leveraging their collective expertise to overcome challenges related to synthetic accessibility. The establishment of such research centers highlights the interdisciplinary approach undertaken by AI-powered start-ups, fostering collaboration between domain experts and AI specialists to tackle intricate problems in drug discovery. The proliferation of AI-powered drug discovery start-ups is not merely a testament to the growing reliance on AI technologies but also a response to diverse challenges within the drug discovery landscape. These start-ups, driven by innovation and a commitment to accelerating drug discovery processes, play a crucial role in predictive analytics, data analysis, and overall market growth. Their formation signifies a paradigm shift in the industry, where the integration of AI is considered instrumental in addressing multifaceted challenges and optimizing various stages of drug development. In essence, the increasing number of AI-powered drug discovery start-ups is a hallmark of the transformative potential that AI holds in reshaping traditional approaches to drug development. As these entities actively engage with the complexities of drug discovery, their collaborative efforts with AI technologies are poised to drive continuous advancements, ultimately contributing to a more efficient, agile, and impactful drug discovery ecosystem. The collective momentum of these innovative start-ups underscores a future where AI is not just a tool but an indispensable partner in the pursuit of novel therapeutic solutions.

    Market Summary

    As per Market Research Future Analysis, the Artificial Intelligence in Drug Discovery Market was valued at 3.76 USD Billion in 2023 and is projected to reach 25 USD Billion by 2035, reflecting a CAGR of 17.1% from 2025 to 2035. The market is driven by the need for efficient drug development processes, increased investment in biotechnology, and advancements in personalized medicine.

    Key Market Trends & Highlights

    The Global Artificial Intelligence in Drug Discovery Market is witnessing transformative growth due to several key trends.

    • Target Identification is expected to grow from 1.1 USD Billion in 2024 to 6.3 USD Billion by 2035.
    • Lead Optimization will increase from 1.0 USD Billion in 2024 to 5.5 USD Billion by 2035.
    • Drug Repurposing is anticipated to reach 4.5 USD Billion by 2035, highlighting its growing relevance.
    • North America is projected to dominate the market, growing from 2.0 USD Billion in 2024 to 12.0 USD Billion by 2035.

    Market Size & Forecast

    2023 Market Size USD 3.76 Billion
    2024 Market Size USD 4.4 Billion
    2035 Market Size USD 25 Billion
    CAGR (2025-2035) 17.1%
    Largest Regional Market Share in 2024 North America.

    Major Players

    Key players include IBM, NuMedii, Atomwise, Exscientia, Recursion Pharmaceuticals, Strateos, Insilico Medicine, Google DeepMind, Zebra Medical Vision, Biorelate, Microsoft, BenevolentAI, and CureMetrix.

    Market Trends

    The Artificial Intelligence in Drug Discovery Market is witnessing substantial growth, propelled by several critical market drivers. A key factor is the growing demand for expedited drug development processes, which conventional methods frequently find challenging to accomplish. Artificial intelligence technology provides advanced solutions for predictive analytics, improving the efficiency of drug discovery. Furthermore, the increasing incidence of chronic diseases and the growing need for personalized medicine are driving the adoption of AI to enhance drug compounds and pinpoint promising candidates.

    Regulatory bodies worldwide, recognizing the potential of AI in reducing time and costs in drug development, are also beginning to establish frameworks that support its integration into research processes. There are many opportunities to be explored within this market, particularly in emerging economies where healthcare needs are expanding rapidly. Companies can leverage AI to address specific local health challenges and invest in partnerships with academic institutions for innovative research collaborations. Moreover, the increasing availability of open-access biomedical data sets presents a unique opportunity for AI systems to improve their learning and accuracy in drug discovery. 

    Recent trends show that pharmaceutical companies are increasingly adopting machine learning algorithms and natural language processing in their research pipelines. This shift is enhancing target identification and optimizing clinical trial designs, leading to better outcomes in drug performance. Collaborative initiatives between AI technology firms and pharmaceutical companies are increasingly prevalent, indicating a trend toward synergistic growth. Interest in AI for drug discovery is anticipated to grow, driven by technological advancements that facilitate transformative changes in the global processes of drug discovery and development.

    The integration of artificial intelligence in drug discovery is poised to revolutionize the pharmaceutical landscape, enhancing the efficiency of drug development processes and potentially leading to more effective therapies.

    U.S. National Institutes of Health (NIH)

    AI Drug Discovery Market Market Drivers

    Market Growth Projections

    The Global Artificial Intelligence (AI) in Drug Discovery Market Industry is characterized by robust growth projections. The market is expected to reach 4.4 USD Billion in 2024 and is anticipated to expand to 25 USD Billion by 2035. This growth trajectory suggests a compound annual growth rate (CAGR) of 17.11% from 2025 to 2035. Such projections indicate a strong demand for AI technologies that enhance drug discovery processes, driven by the need for more efficient and effective therapeutic solutions. The increasing adoption of AI across various stages of drug development is likely to reshape the pharmaceutical landscape, making it a focal point for future investments.

    Growing Investment in Biotechnology

    The Global Artificial Intelligence (AI) in Drug Discovery Market Industry is witnessing a surge in investment within the biotechnology sector. Investors are increasingly recognizing the potential of AI to revolutionize drug discovery and development. This influx of capital is facilitating the development of innovative AI-driven platforms that enhance the efficiency and accuracy of drug discovery processes. As a result, the market is anticipated to grow significantly, with projections indicating a rise to 25 USD Billion by 2035. The convergence of biotechnology and AI is fostering an environment ripe for breakthroughs in therapeutic solutions, thereby attracting both public and private funding.

    Regulatory Support for AI Integration

    The Global Artificial Intelligence (AI) in Drug Discovery Market Industry benefits from increasing regulatory support for the integration of AI technologies in drug development. Regulatory bodies are beginning to recognize the potential of AI to enhance the safety and efficacy of new drugs. This support is crucial as it encourages pharmaceutical companies to adopt AI-driven approaches in their research and development processes. The positive regulatory environment is likely to contribute to the market's growth, with expectations of reaching 4.4 USD Billion in 2024. By fostering innovation while ensuring compliance, regulatory frameworks are paving the way for the broader acceptance of AI in drug discovery.

    Rising Demand for Personalized Medicine

    The Global Artificial Intelligence (AI) in Drug Discovery Market Industry is experiencing a notable surge in demand for personalized medicine. This trend is driven by the increasing recognition that individualized treatment plans can enhance patient outcomes. AI technologies facilitate the analysis of vast datasets, including genetic information, to identify potential drug candidates tailored to specific patient profiles. As a result, the market is projected to reach 4.4 USD Billion in 2024, reflecting a growing investment in AI-driven solutions that optimize drug development processes. The ability to customize therapies not only improves efficacy but also reduces adverse effects, thereby attracting significant interest from pharmaceutical companies.

    Efficiency in Drug Development Processes

    The Global Artificial Intelligence (AI) in Drug Discovery Market Industry is significantly influenced by the efficiency that AI brings to drug development processes. Traditional drug discovery methods are often time-consuming and costly, with a high failure rate. AI algorithms can analyze complex biological data, predict molecular interactions, and identify viable drug candidates more rapidly than conventional methods. This efficiency is crucial as the market is expected to expand to 25 USD Billion by 2035, driven by the need for faster and more cost-effective drug development. By streamlining workflows and reducing time-to-market, AI technologies are becoming indispensable in the pharmaceutical landscape.

    Advancements in Machine Learning Algorithms

    The Global Artificial Intelligence (AI) in Drug Discovery Market Industry is propelled by advancements in machine learning algorithms. These algorithms enable researchers to process and interpret large volumes of data, leading to more accurate predictions of drug efficacy and safety. For instance, deep learning techniques are being employed to analyze chemical structures and biological data, which enhances the identification of potential drug candidates. As the market continues to evolve, the compound annual growth rate (CAGR) is projected at 17.11% from 2025 to 2035. This growth underscores the increasing reliance on sophisticated AI models to drive innovation in drug discovery.

    Market Segment Insights

    Artificial Intelligence in Drug Discovery Market Application Insights

    The Artificial Intelligence in Drug Discovery Market is witnessing substantial growth, with specific emphasis on the Application segment that encompasses various critical areas such as target identification, lead optimization, drug repurposing, clinical trials, and preclinical testing. Target identification holds a noteworthy position with market values of 0.815 USD billion in 2024 and 4.612 USD billion in 2035, emphasizing its significance in the early stages of drug discovery where pinpointing the right biological targets is crucial for successful outcomes.

    Lead optimization closely follows with a valuation of 0.896 USD billion in 2024, further projected to reach 5.016 USD billion in 2035; this segment is essential as it enhances existing drug candidates, ensuring improved efficacy and reduced side effects before proceeding to clinical trials. Drug repurposing showcases a market value of 0.978 USD billion in 2024, escalating to 5.744 USD billion by 2035, marking a strategic approach where existing drugs are evaluated for new therapeutic uses, thus reducing time and costs typically associated with traditional drug development.

    Clinical trials application, valued at 1.467 USD billion in 2024 and expected to attain 8.091 USD billion in 2035, plays a vital role in evaluating drug safety and efficacy, with AI technologies facilitating better patient selection and trial design, which is fundamental in the increasingly complex clinical environments. Preclinical testing appears to have a smaller valuation, recorded at 0.244 USD billion in 2024, expected to grow to 1.537 USD billion by 2035, underscoring the necessity of exhaustive testing before human trials to ensure drug safety and viability.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    AI in Drug Discovery Market Technology Insights

    The Artificial Intelligence in Drug Discovery Market by technology, encompasses key categories such as machine learning, natural language processing deep learning, knowledge graphs, and robotic process automation. Machine learning plays a pivotal role by analyzing vast datasets to identify potential drug candidates, thus enhancing efficiency and accuracy in drug development processes. Natural language processing is essential for extracting valuable insights from scientific literature, facilitating quicker research advancements.

    Deep learning significantly contributes to predictive modeling, allowing for better-targeted therapies. Knowledge Graphs streamline data relationships by visualizing connections across diverse datasets, thereby improving decision-making efficiencies in drug discovery. Lastly, robotic process automation optimizes repetitive tasks, allowing researchers to focus on innovation.

    Artificial Intelligence in Drug Discovery Market End Use Insights

    The global artificial intelligence in drug discovery by end use encompasses pharmaceutical companies, biotechnology firms, research institutions, and academic institutions. Pharmaceutical companies leverage artificial intelligence to enhance the efficiency and accuracy of drug development processes, leading to shortened timelines and reduced costs in bringing new therapies to market. Biotechnology firms also play a crucial role, using AI to streamline the discovery of novel drug candidates and to optimize clinical trials, thereby significantly improving success rates.

    Research institutions utilize AI to enhance their investigative capabilities in drug discovery, creating vast opportunities for innovation and breakthroughs. Academic institutions increasingly integrate AI into their educational curricula, equipping the next generation of scientists with essential skills for future advancements in the industry.

    The increasing demand for personalized medicine and the necessity for accelerated drug development are driving the expansion of the global artificial intelligence market in drug discovery. Technological advancements and rising investments in research and development significantly contribute to market growth, highlighting the critical role of each end-use segment in promoting a collaborative approach to transforming drug discovery practices.

    Artificial Intelligence in Drug Discovery Market Workflow Insights

    The Artificial Intelligence in Drug Discovery Market by workflow encompasses various components, including data mining, predictive modeling, clinical data management, and assay development. Data mining is essential for extracting valuable insights from vast datasets, assisting researchers in identifying potential drug candidates.

    Predictive modeling aids in forecasting outcomes based on historical data, which is crucial for informed decision-making in drug development. Clinical data management ensures the integrity and accessibility of clinical trial data, facilitating smoother trials and regulatory approvals. Assay development remains significant as it directly influences the effectiveness and accuracy of identifying therapeutic compounds.

    Get more detailed insights about Artificial Intelligence (AI) in Drug Discovery Market Research Report - Forecast to 2035

    Regional Insights

    North America led the way with a valuation of 1.76 USD billion in 2024. It is projected to reach 10.11 USD billion by 2035, showcasing its majority holding in market dynamics driven by advanced research and technology initiatives. Europe follows with a valuation of 1.1 USD billion in 2024, expected to grow to 6.3 USD billion, reflecting a strong focus on pharmaceutical innovation and regulatory support.

    Asia Pacific, valued at 0.92 USD billion in 2024, is anticipated to reach 5.32 USD billion, making it a growing hub for investment in AI technologies amidst rising healthcare demands. South America and the Middle East and Africa present smaller market shares, valued at 0.22 USD billion and 0.24 USD billion, respectively, but are expected to expand to 1.3 USD billion and 1.87 USD billion by 2035. Despite their smaller figures, these regions are leveraging local partnerships and investment incentives to foster growth in the AI-driven drug discovery landscape.

    Artificial Intelligence in Drug Discovery Market Regional Insights

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    The global market for artificial intelligence in drug development has emerged as a crucial priority for prominent pharmaceutical and technology businesses aiming to optimize their drug discovery processes and reduce time to market. This sector leverages advanced machine learning algorithms and data analytics, significantly improving the efficiency of identifying potential drug candidates. As the demand for customized medicine and new medicines escalates, competition in this sector intensifies, emphasizing strategic collaborations, technological improvements, and the development of intellectual property.Companies are currently exploring the integration of AI for medication identification, as well as for the optimization of clinical trials and post-market surveillance.

    The environment features significant investments in research and development, focused on developing advanced AI platforms that can predict medication interactions and side effects, with the goal of optimizing each phase of the drug development process.

    Novartis stands out in the Artificial Intelligence in Drug Discovery Market due to its commitment to innovation and technological adoption. With a robust research and development pipeline, Novartis has integrated AI into various aspects of its drug discovery activities, allowing for more efficient screening and optimizing molecular drug design. It’s strategic collaborations with tech firms and academic institutions fortify its market presence, enabling Novartis to leverage state-of-the-art AI solutions.

    Novartis's strengths lie in its extensive portfolio covering a diverse range of therapeutic areas and its capability to utilize AI in repurposing existing drugs, potentially speeding up the drug discovery process. This forward-thinking approach combined with Novartis's established industry reputation solidifies its competitive edge in leveraging AI technologies within drug discovery for global applications.

    Atomwise is another key player in the Artificial Intelligence in Drug Discovery Market, recognized for its innovative use of AI in drug design and development. The company’s proprietary technology utilizes deep learning algorithms to predict the effectiveness of potential drug molecules, substantially accelerating the initial phases of drug discovery. Atomwise has made significant strides in creating strategic partnerships with various pharmaceutical companies and research institutions globally, allowing for extensive application of its technology in diverse therapeutic areas.

    The company's strength lies in its unique AI platform, which offers efficient virtual screening services, yielding a high success rate in drug candidates' identification. Atomwise has also engaged in notable collaborations and mergers that have bolstered its market presence, enhancing its product offerings and capabilities in drug discovery. This focus on AI and strategic expansion allows Atomwise to maintain a competitive position in the rapidly evolving landscape of drug discovery, driving innovation and efficiency on a global scale.

    Key Companies in the AI Drug Discovery Market market include

    Industry Developments

    The global market for artificial intelligence in drug discovery is experiencing significant growth, as leading pharmaceutical firms such as Novartis, Pfizer, and AstraZeneca utilize AI to enhance the efficiency of drug development. Atomwise continues to be a prominent entity, recognized for its AtomNet® platform that facilitates the virtual screening of billions of compounds, greatly enhancing the process of early-stage drug identification. Other firms like Insilico Medicine and DeepMind (through Isomorphic Labs) have secured significant funding, highlighting the industry's innovative capabilities and growing investor trust.

    Exscientia’s collaboration with Bristol Myers Squibb, announced in May 2021, represented a significant milestone in their partnerships. The agreement, worth more than $1.2 billion, focuses on leveraging AI to enhance the efficiency of drug development across various therapeutic targets. The collaboration has successfully produced a first-in-human trial for a PKC-theta inhibitor (EXS4318), highlighting the tangible benefits of AI-driven innovation in clinical development.

    Despite the prevailing market optimism, it is crucial to clarify that IBM did not acquire any AI drug discovery firm in August 2023, contrary to certain reports. In 2022, the organization restructured its earlier healthcare AI initiatives, leading to the formation of Merative. Overall, the advancements in AI within the drug discovery sector are set for ongoing growth, fueled by strategic partnerships, evolving platforms, and a significant focus on technology integration.

    Future Outlook

    AI Drug Discovery Market Future Outlook

    The Artificial Intelligence in Drug Discovery Market is projected to grow at a 17.11% CAGR from 2024 to 2035, driven by technological advancements, increased R&D investments, and demand for personalized medicine.

    New opportunities lie in:

    • Develop AI-driven platforms for predictive analytics in drug efficacy.
    • Invest in partnerships with biotech firms for collaborative AI research.
    • Leverage machine learning to enhance drug repurposing strategies.

    By 2035, the market is expected to reach unprecedented levels, reflecting robust growth and innovation.

    Market Segmentation

    Artificial Intelligence in Drug Discovery Market End Use Outlook

    • Pharmaceutical Companies
    • Biotechnology Firms
    • Research Institutions
    • Academic Institution 

    Artificial Intelligence in Drug Discovery Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia Pacific
    • Middle East and Africa

    Artificial Intelligence in Drug Discovery Market Workflow Outlook

    • Data Mining
    • Predictive Modeling
    • Clinical Data Management
    • Assay Development

    Artificial Intelligence in Drug Discovery Market Technology Outlook

    • Machine Learning
    • Natural Language Processing
    • Deep Learning
    • Knowledge Graphs
    • Robotic Process Automation

    Artificial Intelligence in Drug Discovery Market Application Outlook

    • Target Identification
    • Lead Optimization
    • Drug Repurposing
    • Clinical Trials
    • Preclinical Testing

    Report Scope

    Report Attribute/Metric Details
    Market Size 2023 3.76 (USD Billion)
    Market Size 2024 4.4 (USD Billion)
    Market Size 2035 25.0 (USD Billion)
    Compound Annual Growth Rate (CAGR) 17.11% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2024
    Market Forecast Units USD Billion
    Key Companies Profiled IBM, NuMedii, Atomwise, Exscientia, Recursion Pharmaceuticals, Strateos, Insilico Medicine, Google, DeepMind, Zebra Medical Vision, Biorelate, Microsoft, BenevolentAI, CureMetrix, Cloud Pharmaceuticals
    Segments Covered Application, Technology, End Use, Workflow, Regional
    Key Market Opportunities Enhanced drug candidate identification, Accelerated clinical trial processes, Cost reduction in drug development, Improved patient stratification, Data-driven personalized medicine solutions
    Key Market Dynamics Data availability, Increased R investment, Technological advancements, Regulatory compliance pressures, Collaborations and partnerships
    Countries Covered North America, Europe, APAC, South America, MEA

    Market Highlights

    Author

    Rahul Gotadki
    Assistant Manager

    She holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    This is a great article! Really helped me understand the topic better.

    Posted on July 23, 2025, 10:15 AM
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    Posted on July 22, 2025, 7:45 PM
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    FAQs

    What was the value of the Artificial Intelligence in Drug Discovery Market in 2024?

    The global artificial intelligence in drug discovery was valued at 4.4 USD billion in 2024.

    What is the expected value of the Artificial Intelligence in Drug Discovery Market by 2035?

    By 2035, the Artificial Intelligence in Drug Discovery Market is expected to reach a valuation of 25.0 USD billion.

    What is the expected CAGR for the Artificial Intelligence in Drug Discovery Market from 2025 to 2035?

    The expected CAGR for the Artificial Intelligence in Drug Discovery Market from 2025 to 2035 is 17.11%.

    Which region dominated the Artificial Intelligence in Drug Discovery Market in 2024?

    North America dominated the Artificial Intelligence in Drug Discovery Market in 2024 with a valuation of 1.76 USD billion.

    What is the forecast for the Artificial Intelligence in Drug Discovery Market in North America by 2035?

    By 2035, the North America artificial intelligence in drug discovery market is expected to total 10.11 USD billion.

    What are the key applications of Artificial Intelligence in Drug Discovery?

    Key applications include target identification, lead optimization, drug repurposing, clinical trials, and preclinical testing.

    Which application is projected to contribute the most to the revenue share in 2035?

    The clinical trials application segment is projected to contribute the most to the market size, expected to reach 8.091 USD billion in 2035.

    Who are the major players in the Artificial Intelligence in Drug Discovery Market?

    Major players include Novartis, Atomwise, Recursion Pharmaceuticals, Pfizer, Microsoft, and others.

    What is the anticipated market size for Drug Repurposing Application by 2035?

    The drug repurposing application segment is anticipated to total 5.744 USD billion by 2035.

    How much value did the Asia Pacific Artificial Intelligence in Drug Discovery generate in 2024, and what is its projection for 2035?

    The Asia Pacific market was valued at 0.92 USD billion in 2024 and is projected to grow to 5.32 USD billion by 2035.

    1. AI in Drug Discovery Market Segmentation AI
    2. in Drug Discovery Market By Application (USD Billion, 2019-2035) Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing AI
    3. in Drug Discovery Market By Technology (USD Billion, 2019-2035) Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation AI
    4. in Drug Discovery Market By End Use (USD Billion, 2019-2035) Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions
    5. AI in Drug Discovery
    6. Market By Workflow (USD Billion, 2019-2035) Data Mining Predictive Modeling Clinical Data Management Assay Development AI
    7. in Drug Discovery Market By Regional (USD Billion, 2019-2035) North America Europe South America Asia Pacific Middle East and Africa
    8. AI in Drug Discovery
    9. Market Regional Outlook (USD Billion, 2019-2035) North
    10. America Outlook (USD Billion, 2019-2035)
    11. North America AI in Drug
    12. Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    13. North America AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    14. North America AI in Drug Discovery
    15. Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions North
    16. America AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development North
    17. America AI in Drug Discovery Market by Regional Type US Canada US
    18. Outlook (USD Billion, 2019-2035)
    19. US AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing US
    20. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    21. US AI in Drug Discovery Market
    22. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions US
    23. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development CANADA
    24. Outlook (USD Billion, 2019-2035)
    25. CANADA AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing CANADA
    26. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    27. CANADA AI in Drug Discovery Market
    28. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions CANADA
    29. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development Europe
    30. Outlook (USD Billion, 2019-2035)
    31. Europe AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing Europe
    32. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    33. Europe AI in Drug Discovery Market
    34. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions Europe
    35. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development Europe
    36. AI in Drug Discovery Market by Regional Type Germany UK France Russia Italy Spain Rest of Europe
    37. GERMANY Outlook (USD Billion, 2019-2035) GERMANY
    38. AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    39. GERMANY AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation GERMANY
    40. AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions GERMANY
    41. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development UK
    42. Outlook (USD Billion, 2019-2035)
    43. UK AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing UK
    44. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    45. UK AI in Drug Discovery Market
    46. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions UK
    47. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development FRANCE
    48. Outlook (USD Billion, 2019-2035)
    49. FRANCE AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing FRANCE
    50. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    51. FRANCE AI in Drug Discovery Market
    52. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions FRANCE
    53. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development RUSSIA
    54. Outlook (USD Billion, 2019-2035)
    55. RUSSIA AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing RUSSIA
    56. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    57. RUSSIA AI in Drug Discovery Market
    58. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions RUSSIA
    59. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development ITALY
    60. Outlook (USD Billion, 2019-2035)
    61. ITALY AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing ITALY
    62. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    63. ITALY AI in Drug Discovery Market
    64. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions ITALY
    65. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development SPAIN
    66. Outlook (USD Billion, 2019-2035)
    67. SPAIN AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing SPAIN
    68. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    69. SPAIN AI in Drug Discovery Market
    70. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions SPAIN
    71. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development REST
    72. OF EUROPE Outlook (USD Billion, 2019-2035)
    73. REST OF EUROPE AI in Drug
    74. Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    75. REST OF EUROPE AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    76. REST OF EUROPE AI in Drug Discovery
    77. Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions REST
    78. OF EUROPE AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development APAC
    79. Outlook (USD Billion, 2019-2035)
    80. APAC AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing APAC
    81. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    82. APAC AI in Drug Discovery Market
    83. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions APAC
    84. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development APAC
    85. AI in Drug Discovery Market by Regional Type China India Japan South Korea Malaysia Thailand Indonesia Rest of APAC
    86. CHINA Outlook (USD Billion, 2019-2035) CHINA
    87. AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    88. CHINA AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation CHINA
    89. AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions CHINA
    90. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development INDIA
    91. Outlook (USD Billion, 2019-2035)
    92. INDIA AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing INDIA
    93. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    94. INDIA AI in Drug Discovery Market
    95. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions INDIA
    96. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development JAPAN
    97. Outlook (USD Billion, 2019-2035)
    98. JAPAN AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing JAPAN
    99. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    100. JAPAN AI in Drug Discovery Market
    101. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions JAPAN
    102. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development SOUTH
    103. KOREA Outlook (USD Billion, 2019-2035)
    104. SOUTH KOREA AI in Drug Discovery
    105. Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    106. SOUTH KOREA AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation SOUTH
    107. KOREA AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions
    108. SOUTH KOREA AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development MALAYSIA
    109. Outlook (USD Billion, 2019-2035)
    110. MALAYSIA AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing MALAYSIA
    111. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    112. MALAYSIA AI in Drug Discovery Market
    113. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions MALAYSIA
    114. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development THAILAND
    115. Outlook (USD Billion, 2019-2035)
    116. THAILAND AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing THAILAND
    117. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    118. THAILAND AI in Drug Discovery Market
    119. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions THAILAND
    120. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development INDONESIA
    121. Outlook (USD Billion, 2019-2035)
    122. INDONESIA AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing INDONESIA
    123. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    124. INDONESIA AI in Drug Discovery
    125. Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions INDONESIA
    126. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development REST
    127. OF APAC Outlook (USD Billion, 2019-2035)
    128. REST OF APAC AI in Drug Discovery
    129. Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    130. REST OF APAC AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation REST
    131. OF APAC AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions
    132. REST OF APAC AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development South
    133. America Outlook (USD Billion, 2019-2035)
    134. South America AI in Drug
    135. Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    136. South America AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    137. South America AI in Drug Discovery
    138. Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions South
    139. America AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development South
    140. America AI in Drug Discovery Market by Regional Type Brazil Mexico Argentina Rest of South America
    141. BRAZIL Outlook (USD Billion, 2019-2035) BRAZIL
    142. AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    143. BRAZIL AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation BRAZIL
    144. AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions BRAZIL
    145. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development MEXICO
    146. Outlook (USD Billion, 2019-2035)
    147. MEXICO AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing MEXICO
    148. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    149. MEXICO AI in Drug Discovery Market
    150. by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions MEXICO
    151. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development ARGENTINA
    152. Outlook (USD Billion, 2019-2035)
    153. ARGENTINA AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing ARGENTINA
    154. AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    155. ARGENTINA AI in Drug Discovery
    156. Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions ARGENTINA
    157. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development REST
    158. OF SOUTH AMERICA Outlook (USD Billion, 2019-2035)
    159. REST OF SOUTH AMERICA
    160. AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    161. REST OF SOUTH AMERICA AI in Drug Discovery
    162. Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation
    163. REST OF SOUTH AMERICA AI in Drug
    164. Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions REST
    165. OF SOUTH AMERICA AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development
    166. MEA Outlook (USD Billion, 2019-2035) MEA
    167. AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    168. MEA AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation MEA
    169. AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions MEA
    170. AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development MEA
    171. AI in Drug Discovery Market by Regional Type GCC Countries South Africa Rest of MEA GCC COUNTRIES Outlook (USD Billion, 2019-2035)
    172. GCC COUNTRIES AI in Drug Discovery Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing GCC
    173. COUNTRIES AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation GCC
    174. COUNTRIES AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions
    175. GCC COUNTRIES AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development SOUTH
    176. AFRICA Outlook (USD Billion, 2019-2035)
    177. SOUTH AFRICA AI in Drug Discovery
    178. Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    179. SOUTH AFRICA AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation SOUTH
    180. AFRICA AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions
    181. SOUTH AFRICA AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development REST
    182. OF MEA Outlook (USD Billion, 2019-2035)
    183. REST OF MEA AI in Drug Discovery
    184. Market by Application Type Target Identification Lead Optimization Drug Repurposing Clinical Trials Preclinical Testing
    185. REST OF MEA AI in Drug Discovery Market by Technology Type Machine Learning Natural Language Processing Deep Learning Knowledge Graphs Robotic Process Automation REST
    186. OF MEA AI in Drug Discovery Market by End Use Type Pharmaceutical Companies Biotechnology Firms Research Institutions Academic Institutions
    187. REST OF MEA AI in Drug Discovery Market by Workflow Type Data Mining Predictive Modeling Clinical Data Management Assay Development  

    Artificial Intelligence in Drug Discovery Market Segmentation

    • Artificial Intelligence in Drug Discovery Market By Technology (USD Billion, 2019-2032)

      • Machine Learning
      • Natural Language Processing
      • Expert Systems
      • Deep Learning

    • Artificial Intelligence in Drug Discovery Market By Application (USD Billion, 2019-2032)

      • Drug Repurposing
      • Clinical Trial Patient Recruitment
      • Drug Discovery
      • Preclinical Research

    • Artificial Intelligence in Drug Discovery Market By End Use (USD Billion, 2019-2032)

      • Pharmaceutical Companies
      • Biotechnology Companies
      • Research Institutions
      • Contract Research Organizations

    • Artificial Intelligence in Drug Discovery Market By Deployment Type (USD Billion, 2019-2032)

      • Cloud-based
      • On-premise

    • Artificial Intelligence in Drug Discovery Market By Regional (USD Billion, 2019-2032)

      • North America
      • Europe
      • South America
      • Asia Pacific
      • Middle East and Africa

    Artificial Intelligence in Drug Discovery Market Regional Outlook (USD Billion, 2019-2032)

    • North America Outlook (USD Billion, 2019-2032)

      • North America Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • North America Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • North America Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • North America Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

      • North America Artificial Intelligence in Drug Discovery Market by Regional Type

        • US
        • Canada
      • US Outlook (USD Billion, 2019-2032)

      • US Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • US Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • US Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • US Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • CANADA Outlook (USD Billion, 2019-2032)

      • CANADA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • CANADA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • CANADA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • CANADA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

    • Europe Outlook (USD Billion, 2019-2032)

      • Europe Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • Europe Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • Europe Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • Europe Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

      • Europe Artificial Intelligence in Drug Discovery Market by Regional Type

        • Germany
        • UK
        • France
        • Russia
        • Italy
        • Spain
        • Rest of Europe
      • GERMANY Outlook (USD Billion, 2019-2032)

      • GERMANY Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • GERMANY Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • GERMANY Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • GERMANY Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • UK Outlook (USD Billion, 2019-2032)

      • UK Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • UK Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • UK Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • UK Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • FRANCE Outlook (USD Billion, 2019-2032)

      • FRANCE Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • FRANCE Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • FRANCE Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • FRANCE Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • RUSSIA Outlook (USD Billion, 2019-2032)

      • RUSSIA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • RUSSIA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • RUSSIA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • RUSSIA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • ITALY Outlook (USD Billion, 2019-2032)

      • ITALY Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • ITALY Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • ITALY Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • ITALY Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • SPAIN Outlook (USD Billion, 2019-2032)

      • SPAIN Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • SPAIN Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • SPAIN Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • SPAIN Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • REST OF EUROPE Outlook (USD Billion, 2019-2032)

      • REST OF EUROPE Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • REST OF EUROPE Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • REST OF EUROPE Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • REST OF EUROPE Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

    • APAC Outlook (USD Billion, 2019-2032)

      • APAC Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • APAC Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • APAC Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • APAC Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

      • APAC Artificial Intelligence in Drug Discovery Market by Regional Type

        • China
        • India
        • Japan
        • South Korea
        • Malaysia
        • Thailand
        • Indonesia
        • Rest of APAC
      • CHINA Outlook (USD Billion, 2019-2032)

      • CHINA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • CHINA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • CHINA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • CHINA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • INDIA Outlook (USD Billion, 2019-2032)

      • INDIA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • INDIA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • INDIA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • INDIA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • JAPAN Outlook (USD Billion, 2019-2032)

      • JAPAN Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • JAPAN Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • JAPAN Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • JAPAN Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • SOUTH KOREA Outlook (USD Billion, 2019-2032)

      • SOUTH KOREA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • SOUTH KOREA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • SOUTH KOREA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • SOUTH KOREA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • MALAYSIA Outlook (USD Billion, 2019-2032)

      • MALAYSIA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • MALAYSIA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • MALAYSIA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • MALAYSIA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • THAILAND Outlook (USD Billion, 2019-2032)

      • THAILAND Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • THAILAND Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • THAILAND Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • THAILAND Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • INDONESIA Outlook (USD Billion, 2019-2032)

      • INDONESIA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • INDONESIA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • INDONESIA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • INDONESIA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • REST OF APAC Outlook (USD Billion, 2019-2032)

      • REST OF APAC Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • REST OF APAC Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • REST OF APAC Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • REST OF APAC Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

    • South America Outlook (USD Billion, 2019-2032)

      • South America Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • South America Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • South America Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • South America Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

      • South America Artificial Intelligence in Drug Discovery Market by Regional Type

        • Brazil
        • Mexico
        • Argentina
        • Rest of South America
      • BRAZIL Outlook (USD Billion, 2019-2032)

      • BRAZIL Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • BRAZIL Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • BRAZIL Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • BRAZIL Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • MEXICO Outlook (USD Billion, 2019-2032)

      • MEXICO Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • MEXICO Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • MEXICO Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • MEXICO Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • ARGENTINA Outlook (USD Billion, 2019-2032)

      • ARGENTINA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • ARGENTINA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • ARGENTINA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • ARGENTINA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • REST OF SOUTH AMERICA Outlook (USD Billion, 2019-2032)

      • REST OF SOUTH AMERICA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • REST OF SOUTH AMERICA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • REST OF SOUTH AMERICA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • REST OF SOUTH AMERICA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

    • MEA Outlook (USD Billion, 2019-2032)

      • MEA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • MEA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • MEA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • MEA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise

      • MEA Artificial Intelligence in Drug Discovery Market by Regional Type

        • GCC Countries
        • South Africa
        • Rest of MEA
      • GCC COUNTRIES Outlook (USD Billion, 2019-2032)

      • GCC COUNTRIES Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • GCC COUNTRIES Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • GCC COUNTRIES Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • GCC COUNTRIES Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • SOUTH AFRICA Outlook (USD Billion, 2019-2032)

      • SOUTH AFRICA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • SOUTH AFRICA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • SOUTH AFRICA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • SOUTH AFRICA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
      • REST OF MEA Outlook (USD Billion, 2019-2032)

      • REST OF MEA Artificial Intelligence in Drug Discovery Market by Technology Type

        • Machine Learning
        • Natural Language Processing
        • Expert Systems
        • Deep Learning

      • REST OF MEA Artificial Intelligence in Drug Discovery Market by Application Type

        • Drug Repurposing
        • Clinical Trial Patient Recruitment
        • Drug Discovery
        • Preclinical Research

      • REST OF MEA Artificial Intelligence in Drug Discovery Market by End Use Type

        • Pharmaceutical Companies
        • Biotechnology Companies
        • Research Institutions
        • Contract Research Organizations

      • REST OF MEA Artificial Intelligence in Drug Discovery Market by Deployment Type

        • Cloud-based
        • On-premise
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