Statistical Report: Global AI for Drug Discovery Market Size & Share to Surpass USD 5,124.55 million by 2028, at a 45.10% CAGR - Predicts Facts & Factors

The global AI for Drug Discovery market size was valued at USD 549.10 million in 2021 and is projected to reach USD 5,124.55 million by 2028, with a compound yearly growth rate (CAGR) of roughly 45.10% throughout the forecast period, according to Facts and Factors. The study examines the market's drivers, restraints, and challenges as well as how they will affect demand over the forecast period. The paper also looks into the new commercial potential for AI-based drug discovery.

AI for drug discovery uses machines to mimic human intelligence to resolve challenging problems in the drug development process. It helps the pharmaceutical industry research novel chemicals, produce specialized drugs, and identify therapeutic targets. The rise in cross-industry partnerships and collaborations will have a substantial impact on the market's rate of expansion. The global AI for Drug Discovery market is anticipated to expand at a CAGR of 45.10% during the forecast period due to the increase in demand for AI for Drug Discovery.

𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐚𝐧 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐅𝐫𝐞𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 @https://www.fnfresearch.com/sample/ai-for-drug-discovery-market

Healthcare has made extensive use of artificial intelligence, especially when hunting for new treatments. It has a substantial impact on the quick identification, development, detection, and screening of tiny molecules and can identify therapeutic targets. The market is predicted to grow dramatically over the course of the forecast period due to the benefits of utilizing these cutting-edge approaches over conventional procedures.

Artificial intelligence reduces the time and money spent on drug research, hastening market expansion. Manufacturers in the market for using artificial intelligence for drug discovery and development should plan on reaping major benefits from the increased public awareness of AI. However, the shortage of knowledgeable people and data sources in the drug discovery industry restricts the market's growth.

𝐃𝐢𝐯𝐢𝐬𝐢𝐨𝐧𝐚𝐥 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

The Offering, Technology, Application, End-User, and Region segments of the Global AI for Drug Discovery Market are further divided by region. The market is split into two categories based on offerings: software and services. In 2021, the Services segment will be the most popular. The market is segmented into machine learning, deep learning, reinforcement learning, unsupervised learning, supervised learning, other machine learning technologies, and other technologies based on technology. The Deep Learning section is anticipated to grow at the quickest rate throughout the projected period in 2021.

𝐈𝐧𝐪𝐮𝐢𝐫𝐞 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭@https://www.fnfresearch.com/inquiry/ai-for-drug-discovery-market

Immuno-oncology, Neurodegenerative diseases, Cardiovascular diseases, Metabolic disorders, and Other Applications make up the market's application segmentation. The category for neurodegenerative illnesses is anticipated to grow at the quickest rate during the projection period in 2021. The pharmaceutical and biotechnology industries, contract research organizations, research facilities, academic and governmental institutions, and research centers make up the market's end-user segments. The Pharmaceutical & Biotechnology section is anticipated to grow at the quickest rate during the projection period in 2021.

𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞

𝐊𝐞𝐲 𝐩𝐥𝐚𝐲𝐞𝐫𝐬 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐢𝐧𝐠 𝐢𝐧 𝐭𝐡𝐞 𝐠𝐥𝐨𝐛𝐚𝐥 𝐀𝐈 𝐟𝐨𝐫 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐦𝐚𝐫𝐤𝐞𝐭 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 Atomwise, Inc. (US), BenevolentAI (UK), NuMedii (US), BERG LLC (US), Cloud Pharmaceuticals (US), Microsoft (US), Insilico Medicine (US), Cyclica (Canada), NVIDIA Corporation (US), Google (US), Exscientia (UK), Schrödinger (US), Deep Genomics (Canada), IBM (US), BIOAGE (US), twoXAR (US), Owkin, Inc. (US), XtalPi (US), Valo Health (US), Envisagenics (US), Verge Genomics (US), Biovista (US), Standigm (South Korea), Evaxion Biotech (Denmark), Iktos (France), and BenchSci (Canada).

𝐑𝐞𝐚𝐝 𝐃𝐞𝐭𝐚𝐢𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 𝐟𝐨𝐫 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧@https://www.fnfresearch.com/ai-for-drug-discovery-market

𝐑𝐞𝐜𝐞𝐧𝐭 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬:

In July 2021, the machine learning operating platform Chief AI announced the debut of a pay-as-you-go AI platform for drug discovery. This platform enables SMEs to acquire affordable access to advanced technology, reducing the hit-or-miss nature of drug development and identifying breakthrough treatments with increased speed and precision.

𝐈𝐧 𝐅𝐞𝐛𝐫𝐮𝐚𝐫𝐲 𝟐𝟎𝟐𝟏, 𝐄𝐱𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐚 (𝐔𝐊) 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐎𝐱𝐟𝐨𝐫𝐝 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐞𝐝 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐀𝐥𝐳𝐡𝐞𝐢𝐦𝐞𝐫'𝐬 𝐝𝐢𝐬𝐞𝐚𝐬𝐞 𝐭𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭𝐬.

𝐆𝐥𝐨𝐛𝐚𝐥 𝐀𝐈 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐦𝐚𝐫𝐤𝐞𝐭 𝐢𝐬 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐚𝐬 𝐟𝐨𝐥𝐥𝐨𝐰𝐬:

𝐁𝐲 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠

Software
Services

𝐁𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲

Machine Learning
Deep Learning
Supervised Learning
Reinforcement Learning
Unsupervised Learning
Other Machine Learning Technologies
Other Technologies

𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧

Immuno-oncology
Neurodegenerative Diseases
Cardiovascular Diseases
Metabolic Diseases
Other Applications

𝐁𝐲 𝐄𝐧𝐝 𝐔𝐬𝐞𝐫

Pharmaceutical & Biotechnology Companies
Contract Research Organizations
Research Centres and Academic & Government Institutes

𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧@https://www.fnfresearch.com/customization/ai-for-drug-discovery-market

𝐁𝐲 𝐑𝐞𝐠𝐢𝐨𝐧

𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚
The U.S.
Canada
Mexico
Europe
France
The UK
Spain
Germany
Italy
Nordic Countries
Denmark
Sweden
Norway
Benelux Union
Belgium
The Netherlands
Luxembourg
Rest of Europe
Asia Pacific
China
Japan
India
Australia
South Korea
Southeast Asia
Indonesia
Thailand
Malaysia
Singapore
Rest of Southeast Asia
Rest of Asia Pacific
The Middle East & Africa
Saudi Arabia
UAE
Egypt
South Africa
Rest of the Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America

𝐑𝐞𝐚𝐝 𝐛𝐮𝐲𝐧𝐨𝐰 𝐑𝐞𝐩𝐨𝐫𝐭 𝐟𝐨𝐫 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧@https://www.fnfresearch.com/buynow/su/ai-for-drug-discovery-market

𝐓𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭'𝐬 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬:

To estimate the size of each segment within the global AI for Drug Discovery market.
To calculate the size and forecast of the worldwide market for AI in drug discovery based on important variables.
To take into account the key stakeholders and their long-term development plans.
To assess consumer interest in the sector, growth trends, and prospects in the global AI for drug discovery market.
To use information from the company, key regions/nations, products, and applications to estimating the size of the global AI for Drug Discovery market (in terms of volume and value).
Important data about market growth, organization size, industry segmentation, the overall global AI for Drug Discovery market share, SWOT analysis, and ideas for future development.

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