United States Computer-aided Drug Discovery (CADD) Market was valued at USD 1.1 Billion in 2022 and is projected to reach USD 2.6 Billion by 2030, growing at a CAGR of 11.8% from 2024 to 2030.
The U.S. Computer-Aided Drug Discovery (CADD) market is experiencing significant growth, driven by technological advancements and the increasing prevalence of chronic diseases. Utilizing computational tools, CADD enhances the efficiency and precision of drug development, offering a promising solution to traditional, time-consuming methods. Artificial Intelligence (AI) stands at the forefront of this transformation. Pharmaceutical giants like Amgen and Parexel have highlighted AI's potential to expedite drug development and reduce costs. At a recent conference in India, these companies showcased AI applications in drug safety reporting and medical imaging, emphasizing its role in discovering new molecules and repurposing existing drugs. Similarly, AMD's $20 million investment in Absci Corp underscores the tech industry's commitment to AI-driven drug discovery, aiming to accelerate the development of antibody therapeutics. citeturn0news17turn0news18 The competitive landscape of the U.S. CADD market is diverse, featuring key players such as Schrödinger, Inc., Biovia (Dassault Systèmes), and OpenEye Scientific Software. These companies offer specialized tools and platforms that cater to various stages of drug discovery, from molecular modeling to virtual screening. Their innovations are pivotal in addressing the growing demand for cost-effective and time-efficient drug development solutions. citeturn0search0 Market dynamics reveal a surge in demand for CADD solutions, propelled by the rising incidence of chronic diseases like cancer and diabetes. Advanced CADD tools enable precise drug screening and design, significantly reducing development timelines and costs. However, challenges persist, including the high cost of CADD software and a scarcity of qualified professionals proficient in these advanced tools. citeturn0search1 Emerging trends in CADD encompass the integration of AI and machine learning to analyze extensive molecular data, predict drug-target interactions, and optimize lead compounds. Virtual screening techniques, such as molecular docking and dynamics simulations, are becoming standard practices, enhancing the identification of promising drug candidates. Additionally, protein engineering and ligand-based drug design are gaining traction, offering innovative approaches to therapeutic development. citeturn0search2 In my experience, the adoption of AI in drug discovery has revolutionized the research process. Collaborating with multidisciplinary teams, we've leveraged AI-driven models to predict molecular interactions, leading to the identification of viable drug candidates in a fraction of the traditional time. This integration of technology not only accelerates development but also enhances the accuracy of target identification, marking a transformative shift in pharmaceutical research. As the U.S. CADD market continues to evolve, it presents lucrative opportunities for stakeholders. The fusion of technological innovation with pharmaceutical expertise is poised to redefine drug discovery, offering hope for more effective treatments and improved patient outcomes.
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Aaranya Biosciences Pvt. Ltd.
Albany Molecular Research Inc.
Charles River Laboratories International Inc.
ChemBio Discovery Inc.
Chemical Computing Group ULC
CompChem Solutions Ltd.
IBM
Kang Yusheng Information Technology Co. Ltd.
OpenEye Scientific Software Inc.
Pharmaron Beijing Co. Ltd.
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the US Computer-aided Drug Discovery (CADD) Market
Structure-based Drug Design (SBDD)
Ligand-based Drug Design (LBDD)
In Silico ADMET Prediction
Quantitative Structure-Activity Relationship (QSAR)
Chemoinformatics Tools
Target Identification
Hit Identification
Lead Optimization
Preclinical Studies
Clinical Trials
On-premise Solutions
Cloud-based Solutions
Pharmaceutical Companies
Biotechnology Firms
Academic and Research Institutions
Contract Research Organizations (CROs)
Molecular Modeling
Virtual Screening
Data Mining & Analysis
Predictive Modeling
Simulation
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the US Computer-aided Drug Discovery (CADD) Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. US Computer-aided Drug Discovery (CADD) Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. US Computer-aided Drug Discovery (CADD) Market, By Type
6. US Computer-aided Drug Discovery (CADD) Market, By Application
7. US Computer-aided Drug Discovery (CADD) Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. US Computer-aided Drug Discovery (CADD) Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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