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Global Drug Discovery Informatics Market to reach USD 6.92 billion by the end of 2030.

Global Drug Discovery Informatics Market Size study & Forecast, by Workflow (Discovery Informatics, Biocontent Management), by Services (Sequence Analysis Platforms, Molecular Modelling, Docking, Clinical Trial Data Management, Others) and Regional Analysis, 2023-2030

Product Code: HLSHIT-15355850
Publish Date: 10-01-2024
Page: 200

Global Drug Discovery Informatics Market is valued at approximately USD 2.96 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 11.2% over the forecast period 2023-2030. Drug discovery informatics is a multidisciplinary field that leverages computational and informational technologies to streamline and enhance the drug discovery process. This includes information related to genomics, proteomics, and chemical structures. Drug discovery informatics encompasses various computational approaches such as bioinformatics, cheminformatics and systems biology, which aid in the identification of potential drug candidates and understanding their mechanisms of action. The Drug Discovery Informatics market is expanding because of factors such as high R&D expenditure by pharmaceutical and biotechnology companies, increasing technological advancement in drug discovery platforms and rising pre-clinical research and development.

The market is experiencing growth driven by factors such as substantial research and development investments from pharmaceutical and biotechnology companies dedicated to drug discovery and development. There is a notable surge in the technological advancements related to data mining and analytics. For instance, Automata Labs securing USD 50 million in February 2022 to automate laboratory research processes, and Strateos raising USD 56 million in July 2021 to enhance its SmartLab platform and deploy remote robotized automation for preclinical researchers globally. Additionally, in March 2022, drug discovery startup ArrePath secured USD 20 million in seed funding, led by the Boehringer Ingelheim Venture Fund, Insight Partners, and Innospark Ventures. This funding will bolster ArrePath’s machine learning-based drug discovery platform, specifically focusing on developing novel anti-infective drugs to address antimicrobial resistance. With a continuous uptick in research and development investments, the market is poised for growth throughout the forecast period. In addition, technological advancements in data mining and analytics and rising number of drug discovery activities are creating new opportunities for the market growth. However, the high cost of drug discovery informatics stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Drug Discovery Informatics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to increasing investments in research and development (R&D) activities focused on drug discovery and the advancements in data mining and analytics technologies. Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rapid growth of pharmaceutical and biopharmaceutical industries and the expanding number of CROs in the region.

Major market player included in this report are:
PerkinElmer Inc.
Charles River
Infosys Limited
International Business Machines Corporation (IBM)
Tata Consultancy Services Limited
Amazon Web Services
Schrödinger LLC.
Boehringer Ingelheim International GmbH
Informatics Matters Ltd.,

Recent Developments in the Market:
Ø In February 2023, Insilico Medicine, a clinical-stage company specializing in end-to-end generative artificial intelligence (AI)-driven drug discovery, has attained FDA Orphan Drug Designation for a drug designed and discovered using generative AI, specifically targeted for idiopathic pulmonary fibrosis.
Ø In February 2023, Evotec SE has extended its integrated multi-target drug discovery partnership with the data-driven biotech creation firm, Related Sciences. The collaboration is set to expand the joint portfolio of drug development candidates until 2030, harnessing Evotec’s exceptional capabilities throughout the entire research and development continuum.

Global Drug Discovery Informatics Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Workflow, Services, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Workflow:
Discovery Informatics
Biocontent Management

By Services:
Sequence Analysis Platforms
Molecular Modelling
Clinical Trial Data Management

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Drug Discovery Informatics Market, by region, 2020-2030 (USD Billion)
1.2.2. Drug Discovery Informatics Market, by Workflow, 2020-2030 (USD Billion)
1.2.3. Drug Discovery Informatics Market, by Services, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Drug Discovery Informatics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Drug Discovery Informatics Market Dynamics
3.1. Drug Discovery Informatics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers High R&D expenditure by pharmaceutical and biotechnology companies Increasing technological advancement in drug discovery platforms Rising pre-clinical research and development
3.1.2. Market Challenges High Cost of Drug Discovery Informatics Data Security and Privacy Concerns
3.1.3. Market Opportunities Technological advancements in data mining and analytics Rising number of drug discovery activities
Chapter 4. Global Drug Discovery Informatics Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Drug Discovery Informatics Market, by Workflow
5.1. Market Snapshot
5.2. Global Drug Discovery Informatics Market by Workflow, Performance – Potential Analysis
5.3. Global Drug Discovery Informatics Market Estimates & Forecasts by Workflow 2020-2030 (USD Billion)
5.4. Drug Discovery Informatics Market, Sub Segment Analysis
5.4.1. Discovery Informatics
5.4.2. Biocontent Management
Chapter 6. Global Drug Discovery Informatics Market, by Services
6.1. Market Snapshot
6.2. Global Drug Discovery Informatics Market by Services, Performance – Potential Analysis
6.3. Global Drug Discovery Informatics Market Estimates & Forecasts by Services 2020-2030 (USD Billion)
6.4. Drug Discovery Informatics Market, Sub Segment Analysis
6.4.1. Sequence Analysis Platforms
6.4.2. Molecular Modelling
6.4.3. Docking
6.4.4. Clinical Trial Data Management
6.4.5. Others
Chapter 7. Global Drug Discovery Informatics Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Drug Discovery Informatics Market, Regional Market Snapshot
7.4. North America Drug Discovery Informatics Market
7.4.1. U.S. Drug Discovery Informatics Market Workflow breakdown estimates & forecasts, 2020-2030 Services breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Drug Discovery Informatics Market
7.5. Europe Drug Discovery Informatics Market Snapshot
7.5.1. U.K. Drug Discovery Informatics Market
7.5.2. Germany Drug Discovery Informatics Market
7.5.3. France Drug Discovery Informatics Market
7.5.4. Spain Drug Discovery Informatics Market
7.5.5. Italy Drug Discovery Informatics Market
7.5.6. Rest of Europe Drug Discovery Informatics Market
7.6. Asia-Pacific Drug Discovery Informatics Market Snapshot
7.6.1. China Drug Discovery Informatics Market
7.6.2. India Drug Discovery Informatics Market
7.6.3. Japan Drug Discovery Informatics Market
7.6.4. Australia Drug Discovery Informatics Market
7.6.5. South Korea Drug Discovery Informatics Market
7.6.6. Rest of Asia Pacific Drug Discovery Informatics Market
7.7. Latin America Drug Discovery Informatics Market Snapshot
7.7.1. Brazil Drug Discovery Informatics Market
7.7.2. Mexico Drug Discovery Informatics Market
7.8. Middle East & Africa Drug Discovery Informatics Market
7.8.1. Saudi Arabia Drug Discovery Informatics Market
7.8.2. South Africa Drug Discovery Informatics Market
7.8.3. Rest of Middle East & Africa Drug Discovery Informatics Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. PerkinElmer Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Charles River
8.3.3. Infosys Limited
8.3.4. International Business Machines Corporation (IBM)
8.3.5. Tata Consultancy Services Limited
8.3.6. Amazon Web Services
8.3.7. Schrödinger LLC.
8.3.8. Boehringer Ingelheim International GmbH
8.3.10. Informatics Matters Ltd.,
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Data Collection:
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Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
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Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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