Computer-aided Drug Discovery Market by Type (Ligand-Based Drug Design, Sequence-Based Approaches, Structure-Based Drug Design), Therapeutic Area (Cardiovascular Disease, Diabetes, Neurology), End User - Global Forecast 2024-2030

Computer-aided Drug Discovery Market by Type (Ligand-Based Drug Design, Sequence-Based Approaches, Structure-Based Drug Design), Therapeutic Area (Cardiovascular Disease, Diabetes, Neurology), End User - Global Forecast 2024-2030

The Computer-aided Drug Discovery Market size was estimated at USD 3.74 billion in 2023 and expected to reach USD 4.08 billion in 2024, at a CAGR 9.71% to reach USD 7.16 billion by 2030.

Computer-aided drug discovery (CADD) is a scientific technique used in the biopharmaceutical industry to expedite and enhance the process of discovering new drug candidates. CADD utilizes computational approaches to simulate and predict the interaction between drugs and biological targets. This process can help identify potential new drugs before they are synthesized and tested in the lab, saving time and resources. Growth in the biotechnology and pharmaceutical industries with an increasing number of clinical trials is driving the demand for computer-aided drug discovery solutions. CADD can significantly shorten the drug discovery timeline by predicting how likely a drug candidate is to bind to its target and if it might cause side effects. This efficiency is crucial for industries where reducing time to market can be highly beneficial. High initial costs and rising reliance on quality data hamper the market growth. Rising improvements in computational power and algorithms that enhance the efficiency and capabilities of CADD are expected to create opportunities for market growth.

Regional Insights

In the Americas, the computer-aided drug discovery market is highly developed due to significant investments in healthcare technology and the strong presence of pharmaceutical giants. Computer-aided systems are extensively used to speed up drug discovery, reduce costs, and increase efficiency in developing new drugs. There's also a growing trend in South American countries to adopt these technologies, driven by increasing healthcare expenditures and growing pharmaceutical sectors. The APAC region is witnessing rapid growth in the computer-aided drug discovery market fueled by increasing investment in healthcare technology and a rise in pharmaceutical companies and research institutions. Countries including, China and India are leading the way, given their large populations and increasing focus on healthcare improvements. The region benefits from advanced technology adoption and increased governmental support in healthcare research. The market in Europe is robust, with advanced research facilities and substantial investments in drug development. European countries have a strong foothold in developing advanced technologies that aid in efficient drug discovery processes. The Middle East and parts of Africa are progressively adopting these technologies, although slower than Europe. The growth in these regions is primarily driven by increasing health sector privatization and investments in new technologies by countries aiming to bolster their healthcare infrastructures.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Computer-aided Drug Discovery Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers

Rising focus on drug development activities by pharmaceutical and biopharmaceutical companies
Increasing need to manage the large data generated during preclinical studies

Market Restraints

High cost of implementation of computer-aided drug discovery solutions

Market Opportunities

Rising integration of technologies in computer-aided drug discovery solutions
Supportive government policies for the adoption of innovative technologies

Market Challenges

Availability of wide alternative technologies associated with computer-aided drug discovery solutions

Market Segmentation Analysis

Type: Growing usage of ligand-based drug design to develop a model that can predict the activity of new compounds
End User: High potential of computer-aided drug discovery to understand biological processes and identify potential new drugs

Market Disruption Analysis

Porter’s Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Computer-aided Drug Discovery Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Computer-aided Drug Discovery Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

MilliporeSigma Introduces AIDDISON: A Pioneering SaaS Platform for Streamlined Drug Development

MilliporeSigma has unveiled AIDDISON, the first software-as-a-service (SaaS) platform that integrates virtual molecule design with practical manufacturability. Leveraging the Synthia retrosynthesis software API, AIDDISON employs generative AI and machine learning within a computer-aided drug design framework. The platform effectively accelerates the drug discovery process by sifting through over 60 billion molecular combinations, pinpointing compounds that exhibit crucial drug attributes including, non-toxicity, solubility, and stability.

Bayer AG and Google Cloud Partner to Advance Drug Discovery Through Quantum Chemistry

Bayer AG and Google Cloud have announced a strategic partnership aimed at enhancing early-stage drug discovery by utilizing Google Cloud's Tensor Processing Units (TPUs). These custom-built accelerators are designed to manage advanced machine-learning models and demanding computational tasks. This collaboration seeks to significantly improve the speed and scalability of quantum chemistry calculations, which are crucial for in-silico modeling that accurately simulate biological and chemical interactions.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Computer-aided Drug Discovery Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Computer-aided Drug Discovery Market, highlighting leading vendors and their innovative profiles. These include AbbVie Inc., Accelrys, Inc., AstraZeneca PLC, Bayer AG, Bio-Rad Laboratories, Inc., Boehringer Ingelheim International GmbH, Chemical Computing Group Inc., Dassault Systèmes SE, Eli Lilly and Company, Gilead Sciences, Inc., GlaxoSmithKline PLC, Merck & Co., Inc., Novartis AG, Pfizer Inc., Regeneron Pharmaceuticals, Inc., Roche Holding AG, Sanofi S.A., Schrodinger, Inc., Simulations Plus, Inc., and Vertex Pharmaceuticals Incorporated.

Market Segmentation & Coverage

This research report categorizes the Computer-aided Drug Discovery Market to forecast the revenues and analyze trends in each of the following sub-markets:

Type
Ligand-Based Drug Design
Sequence-Based Approaches
Structure-Based Drug Design
Therapeutic Area
Cardiovascular Disease
Diabetes
Neurology
Oncology
Respiratory Disease
End User
Biotechnology Companies
Pharmaceutical Companies
Research Laboratories
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom

Please Note: PDF & Excel + Online Access - 1 Year