The Global Computer-Aided Drug Discovery Market Size was valued at USD 2,845 Million in 2021 and is predicted to be worth USD 7,232 Million by 2030, with a CAGR of 11.3% from 2022 to 2030.

Increased incidences of chronic and undiagnosed diseases, as well as the development of precious pharmaceutical research, are projected to drive the computer-aided drug discovery market growth in the future years. Furthermore, the growing usage of artificial intelligence, machine learning, and IoT-based technologies in healthcare facilities for drug development will propel the computer-aided drug discovery market size forward.

Computational approaches are rapidly gaining acceptance, adoption, and appreciation in the drug research and development process. This field is referred to by various terms, such as computer-aided drug design (CADD), computer-aided molecular design (CAMD), computational drug design, computer-aided molecular modeling (CAMM), in silico drug design, rational drug design, and computer-aided rational drug design.

Computer-aided drug discovery is becoming an important component of a variety of initiatives in a variety of contexts and research environments. CADD has made significant contributions to the identification and optimization of hit compounds, advancing them to advanced phases of the drug development pipeline or the marketplace. CADD encompasses various theoretical areas, such as bioinformatics, molecular modeling, chemoinformatics, and data gathering. However, such strategies have developed and evolved alongside experimental methodologies employed in drug discovery and development.

Global Computer-Aided Drug Discovery Market DRO’s

Market Drivers

• Increasing frequency of chronic and undiagnosed diseases
• Rapid advancement in pharmaceutical development
• Expanding the Application of Machine Learning and Artificial Intelligence
• Rapidly increasing occurrence of Diabetes and Cancer

Market Restraints

• A scarcity of qualified labor
• Lack of a high-quality biomolecule database

Market Opportunities

• Significant advancements in the field of computer-aided drug discovery
• Technology advancement in emerging economies

Report Coverage

Computer-Aided Drug Discovery Market Dynamics

The traditional approach to drug development and design is an exceedingly expensive and time-consuming process. A new drug development normally takes 10-14 years and billions of dollars to develop from conception to approval. The introduction of CADD has considerably reduced the time required for experimenting and testing. However, the growing demand for rapid pharmaceutical discovery for chronic illnesses such as diabetes and cancer is expected to increase the computer-aided drug discovery market value over the projection period. Furthermore, rising technical discoveries in the field of computer-aided drug discovery, as well as enhanced research activities to give accurate results in less time, are expected to drive the computer-aided drug discovery market trend.

Additionally, in recent years, deep learning (DL), which includes machine learning and artificial intelligence, has resulted in substantial scientific advancements with urgent implications for computer-aided drug creation. As a result, increased adoption of such technologies in the sector will fueled the market growth. Besides this, a dearth of qualified personnel to manage computer-aided drug development technologies may hamper global industry growth. Product uptake is also limiting the global computer-aided drug discovery industry in emerging market nations.

The Impact of Covid-19

The recent outbreak of the severe coronavirus virus (COVID-19) raises significant health and safety concerns around the world. The scarcity of approved treatments and immunizations continues to be an issue, prompting the discovery of novel medical substances. Computer-assisted drug discovery has aided in the acceleration of pharmaceutical research and development by lowering time and expense. However, as researchers, scientists, and microbiological and biopharmaceutical companies increased their R&D efforts to combat the coronavirus epidemic, the computer-aided drug discovery market trend accelerated.

Computer-Aided Drug Discovery Market Segmentation

The global computer-aided drug discovery market segmentation based on the type, therapeutic area, end-user, and geographical region.

Market by Type

• Structure Based Drug Design
• Sequence-Based Approaches
• Ligand-Based Drug Design

Based on the type, the ligand-based drug design is estimated to hold the largest market shares over the predicting years. Ligand-based drug design is a technique that relies on knowledge about compounds that bind to the biological target of interest in the absence of receptor 3D information. The most important and widely used tools in ligand-based drug design are 3D quantitative structure-activity correlations and pharmacophore modeling. They have the ability to create prediction models that can be used to identify and optimize leads. Furthermore, emerging technologies, technological advancements, and rising demand for innovative therapies for various disorders are among the factors boosting the ligand-based drug design segment and computer-aided drug discovery market shares over the projection period.

Market by Therapeutic Area

• Oncology
• Diabetes
• Cardiovascular Disease
• Neurology
• Respiratory Disease
• Others

In terms of therapeutic areas, the oncology segment will lead the market in 2021. Computer-aided drug discovery has developed as a successful and promising method for developing medications that are less expensive, faster, and more effective. The rapid development of computational approaches for drug discovery, especially anticancer drugs, has recently had a significant and remarkable impact on anticancer drug design, as well as valuable insights into the field of cancer therapy. Oncology is a medical specialty concerned with cancer treatment, prevention, and detection. As a result of the increased development of successful cancer drug discoveries, there is a higher demand for anticancer agents which are both effective and cost-effective. These crucial factors have the potential to boost segment growth during the projection timeframe.

Market by End-User

• Pharmaceutical Companies
• Research Laboratories
• Biotechnology Companies

Based on the end-user, the market is further segmented into pharmaceutical companies, biotechnology companies, and research laboratories. According to the computer-aided drug discovery market forecast, the pharmaceutical companies segment is expected to grow significantly in the approaching years. Computer-aided drug discovery (CADD) is currently an essential component of a wide range of projects in a wide range of contexts and academic institutions. In order to improve research and innovation efficiency, major pharmaceutical companies have recently shifted their focus to computational approaches for the discovery and development of new medications. The two core approaches in computer-aided drug discovery (CADD) are structure-based drug discovery (SBDD) and ligand-based drug discovery (LBDD), and they can be employed in all of the trending pharmaceutical companies' drug development strategies.

Computer-Aided Drug Discovery Market Regional Outlook

North America

• U.S.
• Canada

Europe

• U.K.
• Germany
• France
• Spain
• Rest of Europe

Latin America

• Mexico
• Brazil
• Rest of Latin America

Asia-Pacific

• India
• Japan
• China
• Australia
• South Korea
• Rest of Asia-Pacific

The Middle East & Africa (MEA)

• Gulf Cooperation Council (GCC)
• South Africa
• Rest of the Middle East & Africa