AI in Drug Discovery Market Set for Rapid Growth Driven by Technological Advancements and Rising Demand

AI in Drug Discovery Market size was valued at USD 0.15 Bn. in 2023 and the total market revenue is expected to grow by 29.6% from 2024 to 2030, reaching nearly USD 1.95 Mn.

𝐀𝐈 𝐢𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲-𝐀 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐡𝐢𝐟𝐭

The artificial intelligence (AI) landscape in drug discovery is rapidly evolving, with global markets such as the United States, Europe, and key players in Asia, including Vietnam, Thailand, Singapore, Japan, and South Korea, leading the way in innovation. AI's role in drug discovery is becoming increasingly pivotal, providing enhanced computational methods to identify novel drug candidates faster, more cost-effectively, and with greater precision.

𝐆𝐫𝐚𝐛 𝐘𝐨𝐮𝐫 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 𝐍𝐨𝐰:https://www.maximizemarketresearch.com/request-sample/161733/

𝐊𝐞𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬 𝐀𝐜𝐫𝐨𝐬𝐬 𝐂𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐌𝐚𝐫𝐤𝐞𝐭:

𝑽𝒊𝒆𝒕𝒏𝒂𝒎: 𝑮𝒓𝒐𝒘𝒕𝒉 𝑶𝒑𝒑𝒐𝒓𝒕𝒖𝒏𝒊𝒕𝒚 𝒊𝒏 𝑨𝑰-𝑫𝒓𝒊𝒗𝒆𝒏 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚

Vietnam's growing biotech industry is becoming a hub for AI-driven drug discovery. Startups in Ho Chi Minh City are leveraging AI platforms to accelerate drug design and screening, contributing to rapid advancements in personalized medicine. Collaborations between local universities and international AI firms are also driving the research sector forward.

𝑻𝒉𝒂𝒊𝒍𝒂𝒏𝒅: 𝑨𝑰 𝒊𝒏 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚 𝒂𝒏𝒅 𝑴𝒂𝒓𝒌𝒆𝒕 𝑪𝒐𝒏𝒔𝒐𝒍𝒊𝒅𝒂𝒕𝒊𝒐𝒏

In Thailand, AI's integration into pharmaceutical research is growing, with initiatives funded by both the government and private sector. AI systems are being used to predict the efficacy of new compounds and to streamline clinical trial processes, which is particularly important for diseases endemic to Southeast Asia, such as dengue fever and malaria.

𝑺𝒊𝒏𝒈𝒂𝒑𝒐𝒓𝒆: 𝑨 𝑯𝒐𝒕𝒃𝒆𝒅 𝒇𝒐𝒓 𝑨𝑰 𝑰𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏 𝒊𝒏 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚

Singapore continues to be a leader in AI for drug discovery. The country's government-backed AI initiatives are helping to foster collaborations between pharmaceutical companies and AI-focused startups. With a robust infrastructure for clinical trials, Singapore serves as a testing ground for AI applications in drug development, particularly in oncology and neurodegenerative diseases.

𝑱𝒂𝒑𝒂𝒏: 𝑨𝑰'𝒔 𝑹𝒐𝒍𝒆 𝒊𝒏 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚 𝑰𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑴𝒂𝒓𝒌𝒆𝒕 𝑮𝒓𝒐𝒘𝒕𝒉

Japan's strong pharmaceutical market and cutting-edge technology sector are perfectly positioned to leverage AI for drug discovery. Major pharmaceutical companies in Japan, such as Takeda and Astellas, have partnered with AI startups to enhance drug development pipelines. The country's regulatory environment is also evolving to accommodate faster AI-based drug approvals, particularly for rare and complex diseases.

𝑺𝒐𝒖𝒕𝒉 𝑲𝒐𝒓𝒆𝒂: 𝑯𝒂𝒓𝒏𝒆𝒔𝒔𝒊𝒏𝒈 𝑨𝑰 𝒇𝒐𝒓 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚 𝒂𝒏𝒅 𝑴𝒂𝒓𝒌𝒆𝒕 𝑬𝒙𝒑𝒂𝒏𝒔𝒊𝒐𝒏

South Korea is witnessing a surge in AI-based drug discovery platforms, thanks to its high-tech infrastructure and substantial investment in biotechnology. AI-driven initiatives are being focused on chronic diseases, genetic disorders, and cancer treatments. South Korean startups are collaborating with global pharmaceutical giants to bring new therapies to market more quickly.

𝑼𝒏𝒊𝒕𝒆𝒅 𝑺𝒕𝒂𝒕𝒆𝒔: 𝑨𝑰 𝑴𝒂𝒓𝒌𝒆𝒕 𝑪𝒐𝒏𝒔𝒐𝒍𝒊𝒅𝒂𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑮𝒓𝒐𝒘𝒕𝒉 𝒊𝒏 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚

The U.S. remains the largest market for AI in drug discovery, with companies like IBM, Google DeepMind, and Insilico Medicine leading the charge. Mergers and acquisitions in the AI-drug discovery space have been particularly active, with companies seeking to integrate AI technology into traditional pharmaceutical research and clinical development.

𝑬𝒖𝒓𝒐𝒑𝒆𝒂𝒏 𝑼𝒏𝒊𝒐𝒏: 𝑨𝑰 𝒂𝒏𝒅 𝑫𝒓𝒖𝒈 𝑫𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚 𝑻𝒓𝒆𝒏𝒅𝒔 𝒊𝒏 𝒂 𝑹𝒆𝒈𝒖𝒍𝒂𝒕𝒆𝒅 𝑴𝒂𝒓𝒌𝒆𝒕

In Europe, nations such as Germany, France, and the UK are heavily investing in AI research. The EU's stringent regulatory framework ensures that AI applications in drug discovery are safe and ethical. European companies are focusing on using AI for drug repurposing, while also advancing precision medicine for complex diseases.

𝐌𝐞𝐫𝐠𝐞𝐫𝐬 & 𝐀𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧𝐬 𝐈𝐧 𝐀𝐈 𝐢𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐌𝐚𝐫𝐤𝐞𝐭: 𝐊𝐞𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐌𝐨𝐯𝐞𝐬
The AI-driven drug discovery market is experiencing a flurry of mergers and acquisitions (M&A) activity. Leading pharmaceutical companies are increasingly acquiring AI startups to enhance their research capabilities and shorten drug development timelines. Some notable M&As include:

𝗜𝗻𝘀𝗶𝗹𝗶𝗰𝗼 𝗠𝗲𝗱𝗶𝗰𝗶𝗻𝗲 𝗮𝗻𝗱 𝗥𝗼𝗶𝘃𝗮𝗻𝘁 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀: Insilico Medicine, a leader in AI-driven drug discovery, recently formed a strategic partnership with Roivant Sciences to advance AI applications in drug discovery.
𝗦𝗮𝗻𝗼𝗳𝗶'𝘀 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺: French pharmaceutical giant Sanofi has acquired an AI-driven drug discovery platform to boost its research into oncology and rare genetic diseases.
𝗚𝗼𝗼𝗴𝗹𝗲 𝗗𝗲𝗲𝗽𝗠𝗶𝗻𝗱 𝗮𝗻𝗱 𝗔𝘀𝘁𝗿𝗮𝗭𝗲𝗻𝗲𝗰𝗮 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: In a groundbreaking partnership, AstraZeneca joined forces with Google's AI division, DeepMind, to develop algorithms capable of predicting protein folding and accelerating the drug discovery process.

𝐊𝐞𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐓𝐫𝐞𝐧𝐝𝐬 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐀𝐈 𝐢𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐌𝐚𝐫𝐤𝐞𝐭:

𝑮𝒓𝒐𝒘𝒕𝒉 𝒊𝒏 𝑨𝑰 𝑰𝒏𝒗𝒆𝒔𝒕𝒎𝒆𝒏𝒕𝒔:
Pharmaceutical companies and investors are increasingly funding AI research to improve drug discovery. The global market for AI in drug discovery is expected to surpass USD 5 billion by 2030, driven by investments in machine learning algorithms and big data analytics.
𝑨𝑰-𝑬𝒏𝒉𝒂𝒏𝒄𝒆𝒅 𝑪𝒍𝒊𝒏𝒊𝒄𝒂𝒍 𝑻𝒓𝒊𝒂𝒍𝒔:
AI is transforming clinical trials by optimizing patient recruitment, monitoring trial progress, and predicting outcomes. Companies like Tempus and Clinerion are leveraging AI to refine clinical trial designs and speed up the approval process.
𝑷𝒆𝒓𝒔𝒐𝒏𝒂𝒍𝒊𝒛𝒆𝒅 𝑴𝒆𝒅𝒊𝒄𝒊𝒏𝒆:
AI's ability to analyze complex biological data has paved the way for personalized medicine. AI systems are helping researchers understand individual genetic profiles to design tailored therapies that are more effective and less likely to cause side effects.
𝑹𝒆𝒈𝒖𝒍𝒂𝒕𝒐𝒓𝒚 𝑬𝒗𝒐𝒍𝒖𝒕𝒊𝒐𝒏:
As AI continues to revolutionize drug discovery, regulatory bodies in countries like the U.S. FDA, the European Medicines Agency (EMA), and Japan's PMDA are adapting their frameworks to accommodate AI-based solutions. These bodies are focusing on ensuring the ethical use of AI while maintaining patient safety.

𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 𝐢𝐧 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐌𝐚𝐫𝐤𝐞𝐭:

𝑰𝑩𝑴 𝑾𝒂𝒕𝒔𝒐𝒏 𝑯𝒆𝒂𝒍𝒕𝒉:
IBM Watson Health remains a leader in applying AI to drug discovery. Through its Watson for Drug Discovery platform, the company is partnering with major pharmaceutical firms to accelerate drug development using AI models to analyze scientific literature, clinical trial data, and biological pathways.
𝑫𝒆𝒆𝒑𝑴𝒊𝒏𝒅 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 (𝑮𝒐𝒐𝒈𝒍𝒆):
DeepMind, a subsidiary of Google, continues to make headlines with its AI breakthroughs in protein folding and drug design. Its AlphaFold AI system has revolutionized how researchers understand protein structures, paving the way for new drug discovery methods.
𝑩𝒆𝒏𝒆𝒗𝒐𝒍𝒆𝒏𝒕𝑨𝑰:
BenevolentAI, a London-based AI company, has made significant strides in using machine learning to identify promising drug candidates. The company's AI algorithms focus on predicting how different drugs interact with biological systems, leading to the discovery of novel treatments for diseases like Parkinson's and ALS.
𝑨𝒕𝒐𝒎𝒘𝒊𝒔𝒆:
Atomwise uses AI to design small molecules with high efficacy and low toxicity. The company's proprietary algorithms are used to search vast chemical libraries for potential drug candidates. Atomwise has partnered with several pharmaceutical companies to develop treatments for a range of diseases.

𝐔𝐧𝐥𝐨𝐜𝐤 𝐈𝐧-𝐃𝐞𝐩𝐭𝐡 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬! 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐰𝐢𝐭𝐡 𝐉𝐮𝐬𝐭 𝐎𝐧𝐞 𝐂𝐥𝐢𝐜𝐤:https://www.maximizemarketresearch.com/request-sample/161733/

𝐀𝐈 𝐢𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧:

𝒃𝒚 𝑶𝒇𝒇𝒆𝒓𝒊𝒏𝒈
Software
Services
Hardware

The market for AI in drug discovery is divided into two segments: software and hardware services. Over the course of the projected period, software is anticipated to dominate the market. Pharmaceutical businesses may now more effectively analyze large datasets, model molecular interactions, and forecast therapeutic efficacy thanks to AI software platforms. For tasks like virtual screening, biomarker identification, and drug repurposing, these software solutions incorporate cutting-edge technology like deep learning, natural language processing, and predictive analytics. Software is still essential to the AI ecosystem since it drives the fundamental operations of AI in drug development, even though hardware and services also play a role.

𝒃𝒚 𝑻𝒉𝒆𝒓𝒂𝒑𝒆𝒖𝒕𝒊𝒄 𝑨𝒓𝒆𝒂
Oncology
Neurology
Cardiovascular Diseases
Metabolic Diseases
Immunology
Others

The market is divided into several segments, including immunology, metabolic diseases, cardiovascular diseases, neurology, and oncology. In 2023, oncology will hold the biggest proportion of the AI drug discovery market. Given its enormous potential to revolutionize cancer treatment, oncology stands out as the most beneficial therapeutic field for AI in drug discovery. Traditional drug development strategies are long and expensive since cancer is one of the most complicated and heterogeneous diseases, with each kind displaying distinct genetic and molecular profiles.

𝒃𝒚 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚
Machine Learning
Natural Language Processing
Others

𝒃𝒚 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏
Target Selection and Validation
Drug Screening and Lead Optimization
Clinical Studies
Preclinical studies
Others

The market for AI in drug discovery is divided into segments based on application, including pharmacology, drug design, drug screening, and drug repurposing. The market is dominated by AI used in drug design and screening.The AI utilized in drug scanning, according to MMR findings, demonstrated that 70% of antimicrobial activity could correctly anticipate the medication's hazardous qualities with a mere 4% error rate.AI is frequently used to identify inhibitory molecules for particular proteins.

𝐃𝐢𝐯𝐞 𝐃𝐞𝐞𝐩𝐞𝐫 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚! 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐒𝐭𝐮𝐝𝐲 𝐨𝐧 𝐎𝐮𝐫 𝐖𝐞𝐛𝐩𝐚𝐠𝐞 𝐍𝐨𝐰:https://www.maximizemarketresearch.com/contact-us/

𝐀𝐈 𝐢𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬:

1. GNS Healthcare (US)
2. BioSymetrics (US)
3. BPGbio, Inc (US)
4. Atomwise Inc (US)
5. Insitro (US)
6. NVIDIA Corporation (US)
7. IBM Corporation (US)
8. Microsoft Corporation (US)
9. Aria Pharmaceuticals, Inc. (US)
10. Insilico Medicine (US)
11. NuMedii, Inc. (US)
12. Owkin Inc. (US)
13. Schrödinger, Inc. (US)
14. DEEP GENOMICS (Canada)
15. Cyclica (Canada)
16. BenevolentAI (UK)
17. Exscientia (UK)
18. Iktos (France)
19. Euretos (Netherlands)
20. Evaxion Biotech A/S (Denmark)
21. XtalPi Inc (China)
22. Standigm (South Korea)

𝐆𝐨𝐭 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐑𝐞𝐚𝐜𝐡 𝐎𝐮𝐭 𝐍𝐨𝐰 𝐟𝐨𝐫 𝐄𝐱𝐩𝐞𝐫𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐚𝐧𝐝 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐜𝐨𝐩𝐞 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧:https://www.maximizemarketresearch.com/request-sample/161733/

𝐅𝐨𝐫 𝐚𝐧 𝐢𝐧-𝐝𝐞𝐩𝐭𝐡 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐜𝐥𝐢𝐜𝐤 𝐭𝐡𝐞 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐝 𝐥𝐢𝐧𝐤:https://www.maximizemarketresearch.com/market-report/ai-in-drug-discovery-market/161733/

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Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include medical devices, pharmaceutical manufacturers, science and engineering, electronic components, industrial equipment, technology and communication, cars and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.

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