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Computer-Aided Drug Discovery Market by Type (Structure Based Drug Design, Ligand-Based Drug Design, Sequence-Based Approaches), by Therapeutic Area (Oncology, Neurology, Cardiovascular Disease, Respiratory Disease, Diabetes, Others), by End User (Pharmaceutical Companies, Biotechnology Companies, Research Laboratories): Global Opportunity Analysis and Industry Forecast, 2021-2030

Computer-Aided Drug Discovery Market by Type (Structure Based Drug Design,...

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Computer-Aided Drug Discovery Market by Type (Structure Based Drug Design, Ligand-Based Drug Design, Sequence-Based Approaches), by Therapeutic Area (Oncology, Neurology, Cardiovascular Disease, Respiratory Disease, Diabetes, Others), by End User (Pharmaceutical Companies, Biotechnology Companies, Research Laboratories): Global Opportunity Analysis and Industry Forecast, 2021-2030
Computer-Aided Drug Discovery Market by...
Report Code
RO14/128/2694

Publish Date
28/Oct/2022

Pages
200
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The global computer-aided drug discovery market size was US$ 2.9 billion in 2021. The global computer-aided drug discovery market size is forecast to reach US$ 7.5 billion by 2030, growing at a compound annual growth rate (CAGR) of 11.48% during the forecast period from 2022 to 2030.

A cutting-edge computational technique for locating and pursuing possible leads in drug development is computer-aided drug discovery (CADD). Computational chemistry, molecular modeling, molecular design, and rational drug design are all included in computer-aided drug design. To raise the caliber of the leads that have been found, CADD is being used. CADD techniques are becoming more and more accepted and well-liked in the academic and pharmaceutical sectors. Time is saved, and CADD is rapid and affordable. Using a mix of tools, researchers and analysts can use the contemporary technique known as CADD to analyze, design, construct, monitor, and study a three-dimensional structure of the target disease molecule and its complement biomolecule ligand. Researchers like this approach because it expedites research and drug discovery.

Factors Influencing Market Growth
The growing number of chronic and unknown diseases cases is expected to accelerate the need for rapid drug development, driving global market growth.

Limited availability of skilled labor to operate computer-aided drug discovery solutions may slow down the overall market growth.

The increasing usage of artificial intelligence, machine learning, and IoT-based technologies in healthcare facilities for drug development is forecast to offer lucrative opportunities for the global market.

Impact Analysis of COVID-19
The COVID-19 pandemic had a positive impact on global market growth. The lack of effective medications and vaccines continues to be a problem, leading to the invention of new pharmaceuticals. By saving time and money, computer-assisted drug discovery has helped to accelerate pharmaceutical research and development.
However, the computer-aided drug discovery market trend increased as researchers, scientists, and microbiological and biopharmaceutical businesses stepped up their R&D efforts to battle the COVID-19 pandemic.

Regional Analysis
North America garnered a substantial market share in 2021 and is forecast to remain dominant during the forecast period. As a result of the growing number of cancer patients in the United States and rising research activities at institutes and hospitals.

The Asia Pacific region is forecast to have considerable growth during the forecast period. As a result of the rising number of biotechnology companies and R&D expenses driving the market growth in the region.

Leading Competitors
The leading prominent companies profiled in the global computer-aided drug discovery market are:
Charles River Laboratories International, Inc.
BOC Sciences
Bioduro-Sundia
Schrdinger, Inc.
Aragen Life Sciences Pvt. Ltd.
Aris Pharmaceuticals, Inc.
Bayer AG
AstraZeneca plc
Albany Molecular Research Inc. (AMRI)
Other Prominent Players

Scope of the Report
The global computer-aided drug discovery market segmentation focuses on Type, Therapeutic Area, End-User, and Region.
Segmentation based on Type
Structure-Based Drug Design
Ligand-Based Drug Design
Sequence-Based Approaches
Segmentation based on Therapeutic Area
Oncology
Neurology
Cardiovascular Disease
Respiratory Disease
Diabetes
Others
Segmentation based on End-User
Pharmaceutical Companies
Biotechnology Companies
Research Laboratories
Segmentation based on Region
North America
The U.S.
Canada
Mexico
Europe
Western Europe
The UK
Germany
France
Italy
Spain
Rest of Western Europe
Eastern Europe
Poland
Russia
Rest of Eastern Europe
Asia Pacific
China
India
Japan
Australia & New Zealand
ASEAN
Rest of Asia Pacific
Middle East & Africa (MEA)
UAE
Saudi Arabia
South Africa
Rest of MEA
South America
Brazil
Argentina
Rest of South America

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