According to Reports and Data, the Artificial Intelligence in Drug Discovery Market was valued at USD 253.8 million in 2019 and is expected to reach USD 2,127.9 million by the year 2027, at a CAGR of 31.9%. Artificial intelligence has known to have enormous applications in the field of drug discovery as it helps to analyze outbreaks, develop cures for diseases, and also predict which animal viruses tend to mutate. In drug discovery, artificial intelligence has known to improve research and development, which allowed researchers to discover treatments for chronic diseases. The use of machine learning to manage the huge number of data sets is increasing advances in drug discovery. The rising need to manage drug discovery costs is expected to drive the market in the future.
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The pharma and healthcare industry is expected to observe significant growth over the coming years attributed to the increasing incidence of chronic diseases across the globe, growing geriatric patient pool, availability of advanced and minimally invasive surgical and diagnostics procedures, favorable reimbursement scenario, and presence of a robust product pipeline of drugs and therapeutics. In addition, the growing integration of IoT, ML, and AI in medical procedures and equipment along with rapid progress in drug design and development. A combination of innovation and technology has brought about massive changes in the healthcare industry and the rapid adoption of telemedicine, remote consultation, and e-prescription has significantly contributed to the revenue growth of the market.
Research Methodology:
Reports and Data utilizes a unique approach to research to offer a comprehensive overview of the global Artificial Intelligence in Drug Discovery Market to offer insights into investment opportunities for stakeholders, investors, clients, and businesses to make informed decisions. The report includes SWOT analysis, Porter’s Five Forces analysis, feasibility analysis, and investment return analysis to offer a better understanding of the market scenario.
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Asia Pacific is expected to lead the market growth over the coming years owing to rapid advancements in the healthcare sector in APAC countries such as India, China, and Japan. North America is anticipated to register the highest market growth over the forecast period attributed to the increasing availability of robust healthcare and clinical settings, legalization of medical marijuana, favorable reimbursement scenario, presence of key market players, and rapid technological advancements in the region.
The growing popularity of over-the-counter medications driving market growth
Growing incidence of acute and chronic diseases and lesser access to advanced medical facilities owing to low disposable income levels are driving the demand for over-the-counter medications. Availability of generic and low-cost alternatives to medical therapies are some other factors playing a major role in driving demand for over-the-counter medications.
Restriction on product launches and R&D activities to hamper the market growth
The imposition of strict government regulations and shortage of funds has put a halt on product launches and R&D activities and is expected to restrain market growth over the forecast period. In addition, the launch of expensive drugs and therapies and increasing regulations regarding safety and approvals are also hampering the market growth.
Competitive Landscape:
The global market comprises various market players operating at regional and global levels. These key players are adopting various strategies such as R&D investments, license agreements, partnerships, mergers and acquisitions, collaborations, and joint ventures to gain a robust footing in the market.
Key participants in the market include NVIDIA Corporation, Deep Genomics, Cloud Pharmaceuticals, IBM Corporation, Microsoft and Google, Insilico Medicine, BenevolentAI, Cyclica, BERG LLC, and Envisagenics.
Artificial Intelligence in Drug Discovery Market Segmentation:
By Drug Type Outlook (Revenue in Million USD; 2017–2027)
- Small Molecule
- Large Molecule
By Offerings Outlook (Revenue in Million USD; 2017–2027)
- Software
- Services
By Technology Outlook (Revenue in Million USD; 2017–2027)
- Deep Learning
- Machine Learning
- Others
By Application Outlook (Revenue in Million USD; 2017–2027)
- Metabolic Diseases
- Neurodegenerative Diseases
- Cardiovascular Diseases
- Oncology
- Others
By End Use Outlook (Revenue in Million USD; 2017–2027)
- Pharmaceutical & Medical Device Manufacturing Companies
- Life Sciences & Biotechnology Research Organizations
- Hospitals & Healthcare Facilities
Regional Outlook:
- North America (U.S., Canada, Mexico)
- Europe (Germany, U.K., Italy, France, BENELUX, Rest of Europe)
- Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific)
- Latin America (Brazil, Rest of LATAM)
- Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of the Middle East & Africa)
Frequently asked questions addressed in the report:
- What is the revenue growth rate of the global Artificial Intelligence in Drug Discovery market over the forecast period?
- What are the major factors driving the growth of the Global Artificial Intelligence in Drug Discovery Market?
- What are the key challenges impacting the global Artificial Intelligence in Drug Discovery market growth?
- What are the outcomes of the SWOT Analysis and Porter’s Five Forces Analysis conducted in the report?
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