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    Artificial Intelligence (AI) in Drug Discovery Market Research Report - Forecast to 2035 Infographic

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    AI Drug Discovery Market

    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 Institutions), By Workflow (Data Mining, Predictive Modeling, Clinical Data Management, Assay Development) - Forecast to 2035

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    Artificial Intelligence (AI) in Drug Discovery Market Research Report - Forecast to 2035 Infographic
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    Table of Contents

    AI Drug Discovery 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%

    Major Players

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

    AI Drug Discovery 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 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.

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    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

    He holds an experience of about 7+ years in Market Research and Business Consulting, working under the spectrum of Life Sciences and Healthcare domains. Rahul conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. His expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc. In addition to the above, his other responsibility includes strategic tracking of high growth markets & advising clients on the potential areas of focus they could direct their business initiatives

    Get In Touch
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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
    2. AI
    3. in Drug Discovery Market By Application (USD Billion, 2019-2035)
    4. Target
    5. Identification
    6. Lead Optimization
    7. Drug Repurposing
    8. Clinical
    9. Trials
    10. Preclinical Testing
    11. AI
    12. in Drug Discovery Market By Technology (USD Billion, 2019-2035)
    13. Machine
    14. Learning
    15. Natural Language Processing
    16. Deep Learning
    17. Knowledge
    18. Graphs
    19. Robotic Process Automation
    20. AI
    21. in Drug Discovery Market By End Use (USD Billion, 2019-2035)
    22. Pharmaceutical
    23. Companies
    24. Biotechnology Firms
    25. Research Institutions
    26. Academic
    27. Institutions
    28. AI in Drug Discovery
    29. Market By Workflow (USD Billion, 2019-2035)
    30. Data Mining
    31. Predictive
    32. Modeling
    33. Clinical Data Management
    34. Assay Development
    35. AI
    36. in Drug Discovery Market By Regional (USD Billion, 2019-2035)
    37. North
    38. America
    39. Europe
    40. South America
    41. Asia Pacific
    42. Middle
    43. East and Africa
    44. AI in Drug Discovery
    45. Market Regional Outlook (USD Billion, 2019-2035)
    46. North
    47. America Outlook (USD Billion, 2019-2035)
    48. North America AI in Drug
    49. Discovery Market by Application Type
    50. Target Identification
    51. Lead
    52. Optimization
    53. Drug Repurposing
    54. Clinical Trials
    55. Preclinical
    56. Testing
    57. North America AI in Drug Discovery Market
    58. by Technology Type
    59. Machine Learning
    60. Natural Language
    61. Processing
    62. Deep Learning
    63. Knowledge Graphs
    64. Robotic
    65. Process Automation
    66. North America AI in Drug Discovery
    67. Market by End Use Type
    68. Pharmaceutical Companies
    69. Biotechnology
    70. Firms
    71. Research Institutions
    72. Academic Institutions
    73. North
    74. America AI in Drug Discovery Market by Workflow Type
    75. Data Mining
    76. Predictive
    77. Modeling
    78. Clinical Data Management
    79. Assay Development
    80. North
    81. America AI in Drug Discovery Market by Regional Type
    82. US
    83. Canada
    84. US
    85. Outlook (USD Billion, 2019-2035)
    86. US AI in Drug Discovery Market by Application
    87. Type
    88. Target Identification
    89. Lead Optimization
    90. Drug
    91. Repurposing
    92. Clinical Trials
    93. Preclinical Testing
    94. US
    95. AI in Drug Discovery Market by Technology Type
    96. Machine Learning
    97. Natural
    98. Language Processing
    99. Deep Learning
    100. Knowledge Graphs
    101. Robotic
    102. Process Automation
    103. US AI in Drug Discovery Market
    104. by End Use Type
    105. Pharmaceutical Companies
    106. Biotechnology
    107. Firms
    108. Research Institutions
    109. Academic Institutions
    110. US
    111. AI in Drug Discovery Market by Workflow Type
    112. Data Mining
    113. Predictive
    114. Modeling
    115. Clinical Data Management
    116. Assay Development
    117. CANADA
    118. Outlook (USD Billion, 2019-2035)
    119. CANADA AI in Drug Discovery Market
    120. by Application Type
    121. Target Identification
    122. Lead Optimization
    123. Drug
    124. Repurposing
    125. Clinical Trials
    126. Preclinical Testing
    127. CANADA
    128. AI in Drug Discovery Market by Technology Type
    129. Machine Learning
    130. Natural
    131. Language Processing
    132. Deep Learning
    133. Knowledge Graphs
    134. Robotic
    135. Process Automation
    136. CANADA AI in Drug Discovery Market
    137. by End Use Type
    138. Pharmaceutical Companies
    139. Biotechnology
    140. Firms
    141. Research Institutions
    142. Academic Institutions
    143. CANADA
    144. AI in Drug Discovery Market by Workflow Type
    145. Data Mining
    146. Predictive
    147. Modeling
    148. Clinical Data Management
    149. Assay Development
    150. Europe
    151. Outlook (USD Billion, 2019-2035)
    152. Europe AI in Drug Discovery Market
    153. by Application Type
    154. Target Identification
    155. Lead Optimization
    156. Drug
    157. Repurposing
    158. Clinical Trials
    159. Preclinical Testing
    160. Europe
    161. AI in Drug Discovery Market by Technology Type
    162. Machine Learning
    163. Natural
    164. Language Processing
    165. Deep Learning
    166. Knowledge Graphs
    167. Robotic
    168. Process Automation
    169. Europe AI in Drug Discovery Market
    170. by End Use Type
    171. Pharmaceutical Companies
    172. Biotechnology
    173. Firms
    174. Research Institutions
    175. Academic Institutions
    176. Europe
    177. AI in Drug Discovery Market by Workflow Type
    178. Data Mining
    179. Predictive
    180. Modeling
    181. Clinical Data Management
    182. Assay Development
    183. Europe
    184. AI in Drug Discovery Market by Regional Type
    185. Germany
    186. UK
    187. France
    188. Russia
    189. Italy
    190. Spain
    191. Rest
    192. of Europe
    193. GERMANY Outlook (USD Billion, 2019-2035)
    194. GERMANY
    195. AI in Drug Discovery Market by Application Type
    196. Target Identification
    197. Lead
    198. Optimization
    199. Drug Repurposing
    200. Clinical Trials
    201. Preclinical
    202. Testing
    203. GERMANY AI in Drug Discovery Market by Technology
    204. Type
    205. Machine Learning
    206. Natural Language Processing
    207. Deep
    208. Learning
    209. Knowledge Graphs
    210. Robotic Process Automation
    211. GERMANY
    212. AI in Drug Discovery Market by End Use Type
    213. Pharmaceutical Companies
    214. Biotechnology
    215. Firms
    216. Research Institutions
    217. Academic Institutions
    218. GERMANY
    219. AI in Drug Discovery Market by Workflow Type
    220. Data Mining
    221. Predictive
    222. Modeling
    223. Clinical Data Management
    224. Assay Development
    225. UK
    226. Outlook (USD Billion, 2019-2035)
    227. UK AI in Drug Discovery Market by Application
    228. Type
    229. Target Identification
    230. Lead Optimization
    231. Drug
    232. Repurposing
    233. Clinical Trials
    234. Preclinical Testing
    235. UK
    236. AI in Drug Discovery Market by Technology Type
    237. Machine Learning
    238. Natural
    239. Language Processing
    240. Deep Learning
    241. Knowledge Graphs
    242. Robotic
    243. Process Automation
    244. UK AI in Drug Discovery Market
    245. by End Use Type
    246. Pharmaceutical Companies
    247. Biotechnology
    248. Firms
    249. Research Institutions
    250. Academic Institutions
    251. UK
    252. AI in Drug Discovery Market by Workflow Type
    253. Data Mining
    254. Predictive
    255. Modeling
    256. Clinical Data Management
    257. Assay Development
    258. FRANCE
    259. Outlook (USD Billion, 2019-2035)
    260. FRANCE AI in Drug Discovery Market
    261. by Application Type
    262. Target Identification
    263. Lead Optimization
    264. Drug
    265. Repurposing
    266. Clinical Trials
    267. Preclinical Testing
    268. FRANCE
    269. AI in Drug Discovery Market by Technology Type
    270. Machine Learning
    271. Natural
    272. Language Processing
    273. Deep Learning
    274. Knowledge Graphs
    275. Robotic
    276. Process Automation
    277. FRANCE AI in Drug Discovery Market
    278. by End Use Type
    279. Pharmaceutical Companies
    280. Biotechnology
    281. Firms
    282. Research Institutions
    283. Academic Institutions
    284. FRANCE
    285. AI in Drug Discovery Market by Workflow Type
    286. Data Mining
    287. Predictive
    288. Modeling
    289. Clinical Data Management
    290. Assay Development
    291. RUSSIA
    292. Outlook (USD Billion, 2019-2035)
    293. RUSSIA AI in Drug Discovery Market
    294. by Application Type
    295. Target Identification
    296. Lead Optimization
    297. Drug
    298. Repurposing
    299. Clinical Trials
    300. Preclinical Testing
    301. RUSSIA
    302. AI in Drug Discovery Market by Technology Type
    303. Machine Learning
    304. Natural
    305. Language Processing
    306. Deep Learning
    307. Knowledge Graphs
    308. Robotic
    309. Process Automation
    310. RUSSIA AI in Drug Discovery Market
    311. by End Use Type
    312. Pharmaceutical Companies
    313. Biotechnology
    314. Firms
    315. Research Institutions
    316. Academic Institutions
    317. RUSSIA
    318. AI in Drug Discovery Market by Workflow Type
    319. Data Mining
    320. Predictive
    321. Modeling
    322. Clinical Data Management
    323. Assay Development
    324. ITALY
    325. Outlook (USD Billion, 2019-2035)
    326. ITALY AI in Drug Discovery Market by
    327. Application Type
    328. Target Identification
    329. Lead Optimization
    330. Drug
    331. Repurposing
    332. Clinical Trials
    333. Preclinical Testing
    334. ITALY
    335. AI in Drug Discovery Market by Technology Type
    336. Machine Learning
    337. Natural
    338. Language Processing
    339. Deep Learning
    340. Knowledge Graphs
    341. Robotic
    342. Process Automation
    343. ITALY AI in Drug Discovery Market
    344. by End Use Type
    345. Pharmaceutical Companies
    346. Biotechnology
    347. Firms
    348. Research Institutions
    349. Academic Institutions
    350. ITALY
    351. AI in Drug Discovery Market by Workflow Type
    352. Data Mining
    353. Predictive
    354. Modeling
    355. Clinical Data Management
    356. Assay Development
    357. SPAIN
    358. Outlook (USD Billion, 2019-2035)
    359. SPAIN AI in Drug Discovery Market by
    360. Application Type
    361. Target Identification
    362. Lead Optimization
    363. Drug
    364. Repurposing
    365. Clinical Trials
    366. Preclinical Testing
    367. SPAIN
    368. AI in Drug Discovery Market by Technology Type
    369. Machine Learning
    370. Natural
    371. Language Processing
    372. Deep Learning
    373. Knowledge Graphs
    374. Robotic
    375. Process Automation
    376. SPAIN AI in Drug Discovery Market
    377. by End Use Type
    378. Pharmaceutical Companies
    379. Biotechnology
    380. Firms
    381. Research Institutions
    382. Academic Institutions
    383. SPAIN
    384. AI in Drug Discovery Market by Workflow Type
    385. Data Mining
    386. Predictive
    387. Modeling
    388. Clinical Data Management
    389. Assay Development
    390. REST
    391. OF EUROPE Outlook (USD Billion, 2019-2035)
    392. REST OF EUROPE AI in Drug
    393. Discovery Market by Application Type
    394. Target Identification
    395. Lead
    396. Optimization
    397. Drug Repurposing
    398. Clinical Trials
    399. Preclinical
    400. Testing
    401. REST OF EUROPE AI in Drug Discovery Market
    402. by Technology Type
    403. Machine Learning
    404. Natural Language
    405. Processing
    406. Deep Learning
    407. Knowledge Graphs
    408. Robotic
    409. Process Automation
    410. REST OF EUROPE AI in Drug Discovery
    411. Market by End Use Type
    412. Pharmaceutical Companies
    413. Biotechnology
    414. Firms
    415. Research Institutions
    416. Academic Institutions
    417. REST
    418. OF EUROPE AI in Drug Discovery Market by Workflow Type
    419. Data Mining
    420. Predictive
    421. Modeling
    422. Clinical Data Management
    423. Assay Development
    424. APAC
    425. Outlook (USD Billion, 2019-2035)
    426. APAC AI in Drug Discovery Market
    427. by Application Type
    428. Target Identification
    429. Lead Optimization
    430. Drug
    431. Repurposing
    432. Clinical Trials
    433. Preclinical Testing
    434. APAC
    435. AI in Drug Discovery Market by Technology Type
    436. Machine Learning
    437. Natural
    438. Language Processing
    439. Deep Learning
    440. Knowledge Graphs
    441. Robotic
    442. Process Automation
    443. APAC AI in Drug Discovery Market
    444. by End Use Type
    445. Pharmaceutical Companies
    446. Biotechnology
    447. Firms
    448. Research Institutions
    449. Academic Institutions
    450. APAC
    451. AI in Drug Discovery Market by Workflow Type
    452. Data Mining
    453. Predictive
    454. Modeling
    455. Clinical Data Management
    456. Assay Development
    457. APAC
    458. AI in Drug Discovery Market by Regional Type
    459. China
    460. India
    461. Japan
    462. South
    463. Korea
    464. Malaysia
    465. Thailand
    466. Indonesia
    467. Rest
    468. of APAC
    469. CHINA Outlook (USD Billion, 2019-2035)
    470. CHINA
    471. AI in Drug Discovery Market by Application Type
    472. Target Identification
    473. Lead
    474. Optimization
    475. Drug Repurposing
    476. Clinical Trials
    477. Preclinical
    478. Testing
    479. CHINA AI in Drug Discovery Market by Technology
    480. Type
    481. Machine Learning
    482. Natural Language Processing
    483. Deep
    484. Learning
    485. Knowledge Graphs
    486. Robotic Process Automation
    487. CHINA
    488. AI in Drug Discovery Market by End Use Type
    489. Pharmaceutical Companies
    490. Biotechnology
    491. Firms
    492. Research Institutions
    493. Academic Institutions
    494. CHINA
    495. AI in Drug Discovery Market by Workflow Type
    496. Data Mining
    497. Predictive
    498. Modeling
    499. Clinical Data Management
    500. Assay Development
    501. INDIA
    502. Outlook (USD Billion, 2019-2035)
    503. INDIA AI in Drug Discovery Market by
    504. Application Type
    505. Target Identification
    506. Lead Optimization
    507. Drug
    508. Repurposing
    509. Clinical Trials
    510. Preclinical Testing
    511. INDIA
    512. AI in Drug Discovery Market by Technology Type
    513. Machine Learning
    514. Natural
    515. Language Processing
    516. Deep Learning
    517. Knowledge Graphs
    518. Robotic
    519. Process Automation
    520. INDIA AI in Drug Discovery Market
    521. by End Use Type
    522. Pharmaceutical Companies
    523. Biotechnology
    524. Firms
    525. Research Institutions
    526. Academic Institutions
    527. INDIA
    528. AI in Drug Discovery Market by Workflow Type
    529. Data Mining
    530. Predictive
    531. Modeling
    532. Clinical Data Management
    533. Assay Development
    534. JAPAN
    535. Outlook (USD Billion, 2019-2035)
    536. JAPAN AI in Drug Discovery Market by
    537. Application Type
    538. Target Identification
    539. Lead Optimization
    540. Drug
    541. Repurposing
    542. Clinical Trials
    543. Preclinical Testing
    544. JAPAN
    545. AI in Drug Discovery Market by Technology Type
    546. Machine Learning
    547. Natural
    548. Language Processing
    549. Deep Learning
    550. Knowledge Graphs
    551. Robotic
    552. Process Automation
    553. JAPAN AI in Drug Discovery Market
    554. by End Use Type
    555. Pharmaceutical Companies
    556. Biotechnology
    557. Firms
    558. Research Institutions
    559. Academic Institutions
    560. JAPAN
    561. AI in Drug Discovery Market by Workflow Type
    562. Data Mining
    563. Predictive
    564. Modeling
    565. Clinical Data Management
    566. Assay Development
    567. SOUTH
    568. KOREA Outlook (USD Billion, 2019-2035)
    569. SOUTH KOREA AI in Drug Discovery
    570. Market by Application Type
    571. Target Identification
    572. Lead
    573. Optimization
    574. Drug Repurposing
    575. Clinical Trials
    576. Preclinical
    577. Testing
    578. SOUTH KOREA AI in Drug Discovery Market by
    579. Technology Type
    580. Machine Learning
    581. Natural Language Processing
    582. Deep
    583. Learning
    584. Knowledge Graphs
    585. Robotic Process Automation
    586. SOUTH
    587. KOREA AI in Drug Discovery Market by End Use Type
    588. Pharmaceutical
    589. Companies
    590. Biotechnology Firms
    591. Research Institutions
    592. Academic
    593. Institutions
    594. SOUTH KOREA AI in Drug Discovery Market
    595. by Workflow Type
    596. Data Mining
    597. Predictive Modeling
    598. Clinical
    599. Data Management
    600. Assay Development
    601. MALAYSIA
    602. Outlook (USD Billion, 2019-2035)
    603. MALAYSIA AI in Drug Discovery Market
    604. by Application Type
    605. Target Identification
    606. Lead Optimization
    607. Drug
    608. Repurposing
    609. Clinical Trials
    610. Preclinical Testing
    611. MALAYSIA
    612. AI in Drug Discovery Market by Technology Type
    613. Machine Learning
    614. Natural
    615. Language Processing
    616. Deep Learning
    617. Knowledge Graphs
    618. Robotic
    619. Process Automation
    620. MALAYSIA AI in Drug Discovery Market
    621. by End Use Type
    622. Pharmaceutical Companies
    623. Biotechnology
    624. Firms
    625. Research Institutions
    626. Academic Institutions
    627. MALAYSIA
    628. AI in Drug Discovery Market by Workflow Type
    629. Data Mining
    630. Predictive
    631. Modeling
    632. Clinical Data Management
    633. Assay Development
    634. THAILAND
    635. Outlook (USD Billion, 2019-2035)
    636. THAILAND AI in Drug Discovery Market
    637. by Application Type
    638. Target Identification
    639. Lead Optimization
    640. Drug
    641. Repurposing
    642. Clinical Trials
    643. Preclinical Testing
    644. THAILAND
    645. AI in Drug Discovery Market by Technology Type
    646. Machine Learning
    647. Natural
    648. Language Processing
    649. Deep Learning
    650. Knowledge Graphs
    651. Robotic
    652. Process Automation
    653. THAILAND AI in Drug Discovery Market
    654. by End Use Type
    655. Pharmaceutical Companies
    656. Biotechnology
    657. Firms
    658. Research Institutions
    659. Academic Institutions
    660. THAILAND
    661. AI in Drug Discovery Market by Workflow Type
    662. Data Mining
    663. Predictive
    664. Modeling
    665. Clinical Data Management
    666. Assay Development
    667. INDONESIA
    668. Outlook (USD Billion, 2019-2035)
    669. INDONESIA AI in Drug Discovery Market
    670. by Application Type
    671. Target Identification
    672. Lead Optimization
    673. Drug
    674. Repurposing
    675. Clinical Trials
    676. Preclinical Testing
    677. INDONESIA
    678. AI in Drug Discovery Market by Technology Type
    679. Machine Learning
    680. Natural
    681. Language Processing
    682. Deep Learning
    683. Knowledge Graphs
    684. Robotic
    685. Process Automation
    686. INDONESIA AI in Drug Discovery
    687. Market by End Use Type
    688. Pharmaceutical Companies
    689. Biotechnology
    690. Firms
    691. Research Institutions
    692. Academic Institutions
    693. INDONESIA
    694. AI in Drug Discovery Market by Workflow Type
    695. Data Mining
    696. Predictive
    697. Modeling
    698. Clinical Data Management
    699. Assay Development
    700. REST
    701. OF APAC Outlook (USD Billion, 2019-2035)
    702. REST OF APAC AI in Drug Discovery
    703. Market by Application Type
    704. Target Identification
    705. Lead
    706. Optimization
    707. Drug Repurposing
    708. Clinical Trials
    709. Preclinical
    710. Testing
    711. REST OF APAC AI in Drug Discovery Market by
    712. Technology Type
    713. Machine Learning
    714. Natural Language Processing
    715. Deep
    716. Learning
    717. Knowledge Graphs
    718. Robotic Process Automation
    719. REST
    720. OF APAC AI in Drug Discovery Market by End Use Type
    721. Pharmaceutical
    722. Companies
    723. Biotechnology Firms
    724. Research Institutions
    725. Academic
    726. Institutions
    727. REST OF APAC AI in Drug Discovery Market
    728. by Workflow Type
    729. Data Mining
    730. Predictive Modeling
    731. Clinical
    732. Data Management
    733. Assay Development
    734. South
    735. America Outlook (USD Billion, 2019-2035)
    736. South America AI in Drug
    737. Discovery Market by Application Type
    738. Target Identification
    739. Lead
    740. Optimization
    741. Drug Repurposing
    742. Clinical Trials
    743. Preclinical
    744. Testing
    745. South America AI in Drug Discovery Market
    746. by Technology Type
    747. Machine Learning
    748. Natural Language
    749. Processing
    750. Deep Learning
    751. Knowledge Graphs
    752. Robotic
    753. Process Automation
    754. South America AI in Drug Discovery
    755. Market by End Use Type
    756. Pharmaceutical Companies
    757. Biotechnology
    758. Firms
    759. Research Institutions
    760. Academic Institutions
    761. South
    762. America AI in Drug Discovery Market by Workflow Type
    763. Data Mining
    764. Predictive
    765. Modeling
    766. Clinical Data Management
    767. Assay Development
    768. South
    769. America AI in Drug Discovery Market by Regional Type
    770. Brazil
    771. Mexico
    772. Argentina
    773. Rest
    774. of South America
    775. BRAZIL Outlook (USD Billion, 2019-2035)
    776. BRAZIL
    777. AI in Drug Discovery Market by Application Type
    778. Target Identification
    779. Lead
    780. Optimization
    781. Drug Repurposing
    782. Clinical Trials
    783. Preclinical
    784. Testing
    785. BRAZIL AI in Drug Discovery Market by Technology
    786. Type
    787. Machine Learning
    788. Natural Language Processing
    789. Deep
    790. Learning
    791. Knowledge Graphs
    792. Robotic Process Automation
    793. BRAZIL
    794. AI in Drug Discovery Market by End Use Type
    795. Pharmaceutical Companies
    796. Biotechnology
    797. Firms
    798. Research Institutions
    799. Academic Institutions
    800. BRAZIL
    801. AI in Drug Discovery Market by Workflow Type
    802. Data Mining
    803. Predictive
    804. Modeling
    805. Clinical Data Management
    806. Assay Development
    807. MEXICO
    808. Outlook (USD Billion, 2019-2035)
    809. MEXICO AI in Drug Discovery Market
    810. by Application Type
    811. Target Identification
    812. Lead Optimization
    813. Drug
    814. Repurposing
    815. Clinical Trials
    816. Preclinical Testing
    817. MEXICO
    818. AI in Drug Discovery Market by Technology Type
    819. Machine Learning
    820. Natural
    821. Language Processing
    822. Deep Learning
    823. Knowledge Graphs
    824. Robotic
    825. Process Automation
    826. MEXICO AI in Drug Discovery Market
    827. by End Use Type
    828. Pharmaceutical Companies
    829. Biotechnology
    830. Firms
    831. Research Institutions
    832. Academic Institutions
    833. MEXICO
    834. AI in Drug Discovery Market by Workflow Type
    835. Data Mining
    836. Predictive
    837. Modeling
    838. Clinical Data Management
    839. Assay Development
    840. ARGENTINA
    841. Outlook (USD Billion, 2019-2035)
    842. ARGENTINA AI in Drug Discovery Market
    843. by Application Type
    844. Target Identification
    845. Lead Optimization
    846. Drug
    847. Repurposing
    848. Clinical Trials
    849. Preclinical Testing
    850. ARGENTINA
    851. AI in Drug Discovery Market by Technology Type
    852. Machine Learning
    853. Natural
    854. Language Processing
    855. Deep Learning
    856. Knowledge Graphs
    857. Robotic
    858. Process Automation
    859. ARGENTINA AI in Drug Discovery
    860. Market by End Use Type
    861. Pharmaceutical Companies
    862. Biotechnology
    863. Firms
    864. Research Institutions
    865. Academic Institutions
    866. ARGENTINA
    867. AI in Drug Discovery Market by Workflow Type
    868. Data Mining
    869. Predictive
    870. Modeling
    871. Clinical Data Management
    872. Assay Development
    873. REST
    874. OF SOUTH AMERICA Outlook (USD Billion, 2019-2035)
    875. REST OF SOUTH AMERICA
    876. AI in Drug Discovery Market by Application Type
    877. Target Identification
    878. Lead
    879. Optimization
    880. Drug Repurposing
    881. Clinical Trials
    882. Preclinical
    883. Testing
    884. REST OF SOUTH AMERICA AI in Drug Discovery
    885. Market by Technology Type
    886. Machine Learning
    887. Natural Language
    888. Processing
    889. Deep Learning
    890. Knowledge Graphs
    891. Robotic
    892. Process Automation
    893. REST OF SOUTH AMERICA AI in Drug
    894. Discovery Market by End Use Type
    895. Pharmaceutical Companies
    896. Biotechnology
    897. Firms
    898. Research Institutions
    899. Academic Institutions
    900. REST
    901. OF SOUTH AMERICA AI in Drug Discovery Market by Workflow Type
    902. Data
    903. Mining
    904. Predictive Modeling
    905. Clinical Data Management
    906. Assay
    907. Development
    908. MEA Outlook (USD Billion, 2019-2035)
    909. MEA
    910. AI in Drug Discovery Market by Application Type
    911. Target Identification
    912. Lead
    913. Optimization
    914. Drug Repurposing
    915. Clinical Trials
    916. Preclinical
    917. Testing
    918. MEA AI in Drug Discovery Market by Technology
    919. Type
    920. Machine Learning
    921. Natural Language Processing
    922. Deep
    923. Learning
    924. Knowledge Graphs
    925. Robotic Process Automation
    926. MEA
    927. AI in Drug Discovery Market by End Use Type
    928. Pharmaceutical Companies
    929. Biotechnology
    930. Firms
    931. Research Institutions
    932. Academic Institutions
    933. MEA
    934. AI in Drug Discovery Market by Workflow Type
    935. Data Mining
    936. Predictive
    937. Modeling
    938. Clinical Data Management
    939. Assay Development
    940. MEA
    941. AI in Drug Discovery Market by Regional Type
    942. GCC Countries
    943. South
    944. Africa
    945. Rest of MEA
    946. GCC COUNTRIES Outlook
    947. (USD Billion, 2019-2035)
    948. GCC COUNTRIES AI in Drug Discovery Market by
    949. Application Type
    950. Target Identification
    951. Lead Optimization
    952. Drug
    953. Repurposing
    954. Clinical Trials
    955. Preclinical Testing
    956. GCC
    957. COUNTRIES AI in Drug Discovery Market by Technology Type
    958. Machine
    959. Learning
    960. Natural Language Processing
    961. Deep Learning
    962. Knowledge
    963. Graphs
    964. Robotic Process Automation
    965. GCC
    966. COUNTRIES AI in Drug Discovery Market by End Use Type
    967. Pharmaceutical
    968. Companies
    969. Biotechnology Firms
    970. Research Institutions
    971. Academic
    972. Institutions
    973. GCC COUNTRIES AI in Drug Discovery Market
    974. by Workflow Type
    975. Data Mining
    976. Predictive Modeling
    977. Clinical
    978. Data Management
    979. Assay Development
    980. SOUTH
    981. AFRICA Outlook (USD Billion, 2019-2035)
    982. SOUTH AFRICA AI in Drug Discovery
    983. Market by Application Type
    984. Target Identification
    985. Lead
    986. Optimization
    987. Drug Repurposing
    988. Clinical Trials
    989. Preclinical
    990. Testing
    991. SOUTH AFRICA AI in Drug Discovery Market by
    992. Technology Type
    993. Machine Learning
    994. Natural Language Processing
    995. Deep
    996. Learning
    997. Knowledge Graphs
    998. Robotic Process Automation
    999. SOUTH
    1000. AFRICA AI in Drug Discovery Market by End Use Type
    1001. Pharmaceutical
    1002. Companies
    1003. Biotechnology Firms
    1004. Research Institutions
    1005. Academic
    1006. Institutions
    1007. SOUTH AFRICA AI in Drug Discovery Market
    1008. by Workflow Type
    1009. Data Mining
    1010. Predictive Modeling
    1011. Clinical
    1012. Data Management
    1013. Assay Development
    1014. REST
    1015. OF MEA Outlook (USD Billion, 2019-2035)
    1016. REST OF MEA AI in Drug Discovery
    1017. Market by Application Type
    1018. Target Identification
    1019. Lead
    1020. Optimization
    1021. Drug Repurposing
    1022. Clinical Trials
    1023. Preclinical
    1024. Testing
    1025. REST OF MEA AI in Drug Discovery Market by
    1026. Technology Type
    1027. Machine Learning
    1028. Natural Language Processing
    1029. Deep
    1030. Learning
    1031. Knowledge Graphs
    1032. Robotic Process Automation
    1033. REST
    1034. OF MEA AI in Drug Discovery Market by End Use Type
    1035. Pharmaceutical
    1036. Companies
    1037. Biotechnology Firms
    1038. Research Institutions
    1039. Academic
    1040. Institutions
    1041. REST OF MEA AI in Drug Discovery Market
    1042. by Workflow Type
    1043. Data Mining
    1044. Predictive Modeling
    1045. Clinical
    1046. Data Management
    1047. 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
    Artificial Intelligence (AI) in Drug Discovery Market Research Report - Forecast to 2035 Infographic
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