Global In-Silico Drug Discovery Market Insights, Size and Growth Forecast To 2027

Global In-Silico Drug Discovery Market by Workflow (Discovery (Target Identification, Target Validation and Lead Discovery), Pre-Clinical Tests and Clinical Trials), By Product (Software, and Service),By Software Type(Molecular Modeling and de Novo Drug Design Software and Pharmacophore Modeling Software), By End-User(Contract Research Organizations, Pharmaceutical Industry, Academic and Research Institutes and Other (Hospitals and Other Care Facilities)) and By Region (North America, Europe, Asia Pacific, South America, and Middle East & Africa)

Published: Jan-2021	Report ID: HLCA2124	Pages: 1 - 250	Formats^*:
Category : Healthcare

Global In-Silico Drug Discovery market anticipated propelling as it helps in making more efficient drug discovery and development process with low cost. Global in-silico drug discovery market projected to grow with a remarkable rate during the forecast period, 2020-2027. It is attributable to the rise in demand for in-silico drug discovery to use computational approaches to discover, develop, and analyze drugs in less time. Additionally, the growing adoption of in-silico drug discovery for improvement in drug attrition rates and increased rate of target identification will propel the robust growth of global in-silico drug discovery market size in the next few years. Moreover, in-silico drug discovery techniques assist in delivering new drug candidates more quickly and at a lower cost and increase the chance of success in many stages of the discovery process, which would trigger the global in-silico drug discovery industry in the future time. In-Silico Drug Discovery techniques facilitate accessing a huge amount of data generated and transform the massive complex biological data into workable knowledge.

In-silico techniques help in identifying drug targets via computational tools such as used to analyze the target structures for possible binding active sites and generate candidate molecules. After that, it checks for drug-likeness, and after that docks, these molecules with the target rank them according to their binding affinities and later optimize the molecules to improve binding characteristics. Furthermore, the growing demand for in-silico product which helps in vendors and pharmaceutical companies can develop global offâ€theâ€shelf products and locally customized products.

Workflow Overview in the Global In-Silico Drug Discovery Market

Based on workflow, the global in-silico drug discovery market classified Discovery (Target Identification, Target Validation, and Lead Discovery), Pre-Clinical Tests, and Clinical Trials. The Discovery segment likely to lead them in-silico drug discovery markets by 2027. It is owing to in-silico methods assist in pharmacokinetic properties for the chemical compounds before the screening for enabling the early detection of the compounds which are more likely to fail in clinical stages. After that, it enhances the detection of promising entities. In-silico techniques evolve three stages, such as target identification, target validation, and lead discovery.

Product Overview in the Global In-Silico Drug Discovery market

Based on the product, the global in-silico drug discovery market bifurcated into software, and Service. The Software segment projected to dominate the in-silico drug discovery market by 2027. It is owing to software-based in-silico drug discovery help in investigation of pharmacokinetic and pharmacodynamic properties of the drug, and structural activity relationship between ligand and its target.

Services segment will trigger in the forecast period on account of companies provides comprehensive in-silico drug techniques services and supports the integration of new drug discovery projects.

Software Type Overview in the Global In-Silico Drug Discovery Market

Based on the software Type, the global In-Silico Drug Discovery market segregated into Molecular Modeling Drug Design Software and Pharmacophore Modeling Software. The Molecular Modeling Drug Design Software segment witnessed a significant market share in the forecast period and will generate maximum revenue by 2027. It is attributable to molecular modeling to assist in generating ideas on compounds or macromolecules 3D conformation and to make predictions on biological activities.

End-User Overview in the Global In-Silico Drug Discovery Market

Based on end-user, the global in-silico drug discovery market categorized into Contract Research Organizations, Pharmaceutical Industry, Academic and Research Institutes, and Other (Hospitals and Other Care Facilities. Pharmaceutical Industry segments estimated to dominate the market by 2027 due to in-silico drug discovery provide an edge to the pharmaceutical industry in drug discovery and drug development with the computational techniques in lesser time.

Regional Overview in the Global In-Silico Drug Discovery Market

By geography, the global in-silico drug discovery market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. North America anticipated gaining maximum share by 2027 in the in-silico drug discovery market. It is owing to the surge in R&D spending by pharmaceutical and biopharmaceutical companies, coupled with the presence of major players of pharmaceutical companies in these regions.

Global In-Silico Drug Discovery Market: Competitive Landscape

Companies such as Albany Molecular Research Inc., Certara USA, Inc., Charles River, Chemical Computing Group, Collaborative Drug Discovery Inc., Dassault System (Biovia), Evotec A.G., GVK Biosciences Private Limited, ICAGEN, INC. , Novo Informatics Pvt. Ltd., Numerate Inc., PerkinElmer Inc, SchrÃ¶dinger, LLC, Selvita, Simulation Plus, and WuXi AppTec are the key players in the Global In-Silico Drug Discovery Market.

1. Research Strategic Development

1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation

2. Research Methodology

2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation

3. Executive Summary

4. Market Insights

4.1. Economic Factor Analysis
4.1.1. Drivers
4.1.2. Trends
4.1.3. Opportunities
4.1.4. Challenges
4.2. Technological Landscape
4.3. Competitors & Product Analysis
4.4. Regulatory Framework
4.5. Company market share analysis, 2019
4.6. Porterâ€™s Five forces analysis
4.7. New Investment Analysis
4.8. PESTEL Analysis

5. Global In-Silico Drug Discovery Market Overview

5.1. Market Size & Forecast, 2016-2027
5.1.1. Demand
5.1.1.1. By Value (USD Million)
5.2. Market Share & Forecast, 2016-2027
5.2.1. By Workflow
5.2.1.1. Discovery
5.2.1.1.1. Target Identification
5.2.1.1.2. Target Validation
5.2.1.1.3. Lead Discovery
5.2.1.2. Pre-Clinical Tests
5.2.1.3. Clinical Trials
5.2.2. By Product
5.2.2.1. Software
5.2.2.2. Services
5.2.3. By Software Type
5.2.3.1. Molecular Modeling Drug Design Software
5.2.3.2. Pharmacophore Modeling Software
5.2.4. By End-User
5.2.4.1. Contract Research Organizations
5.2.4.2. Pharmaceutical Industry
5.2.4.3. Academic and Research Institutes
5.2.4.4. Other (Hospitals and Other Care Facilities)
5.2.5. By Region
5.2.5.1. North America
5.2.5.2. Europe
5.2.5.3. Asia Pacific
5.2.5.4. South America
5.2.5.5. Middle East & Africa

6. North America In-Silico Drug Discovery Market Overview

6.1. North America In-Silico Drug Discovery Market Size & Forecast, 2016-2027
6.1.1. Demand
6.1.1.1. By Value (USD Million)
6.2. North America In-Silico Drug Discovery Market Share & Forecast, 2016-2027
6.2.1. By Workflow
6.2.1.1. Discovery
6.2.1.1.1. Target Identification
6.2.1.1.2. Target Validation
6.2.1.1.3. Lead Discovery
6.2.1.2. Pre-Clinical Tests
6.2.1.3. Clinical Trials
6.2.2. By Product
6.2.2.1. Software
6.2.2.2. Services
6.2.3. By Software Type
6.2.3.1. Molecular Modeling Drug Design Software
6.2.3.2. Pharmacophore Modeling Software
6.2.4. By End-User
6.2.4.1. Contract Research Organizations
6.2.4.2. Pharmaceutical Industry
6.2.4.3. Academic and Research Institutes
6.2.4.4. Others (Hospitals and Other Care Facilities)
6.2.5. By Country
6.2.5.1. US
6.2.5.2. Canada
6.2.5.3. Mexico
6.2.6. Manufacturer & Distributor List (Top 5)
6.2.7. Company Market Share (Top 3-5)
6.2.8. Economic Impact Study on North America In-Silico Drug Discovery Market

7. Europe In-Silico Drug Discovery Market Overview

7.1. Europe In-Silico Drug Discovery Market Size & Forecast, 2016-2027
7.1.1. Demand
7.1.1.1. By Value (USD Million)
7.2. Europe In-Silico Drug Discovery Market Share & Forecast, 2016-2027
7.2.1. By Workflow
7.2.1.1. Discovery
7.2.1.1.1. Target Identification
7.2.1.1.2. Target Validation
7.2.1.1.3. Lead Discovery
7.2.1.2. Pre-Clinical Tests
7.2.1.3. Clinical Trials
7.2.2. By Product
7.2.2.1. Software
7.2.2.2. Services
7.2.3. By Software Type
7.2.3.1. Molecular Modeling Drug Design Software
7.2.3.2. Pharmacophore Modeling Software
7.2.4. By End-User
7.2.4.1. Contract Research Organizations
7.2.4.2. Pharmaceutical Industry
7.2.4.3. Academic and Research Institutes
7.2.4.4. Others (Hospitals and Other Care Facilities)
7.2.5. By Country
7.2.5.1. Germany
7.2.5.2. UK
7.2.5.3. France
7.2.5.4. Italy
7.2.5.5. Rest of Europe
7.2.6. Manufacturer & Distributor List (Top 5)
7.2.7. Company Market Share (Top 3-5)
7.2.8. Economic Impact Study on Europe In-Silico Drug Discovery Market

8. Asia Pacific In-Silico Drug Discovery Market Overview

8.1. Asia Pacific In-Silico Drug Discovery Market Size & Forecast, 2016-2027
8.1.1. Demand
8.1.1.1. By Value (USD Million)
8.2. Asia Pacific In-Silico Drug Discovery Market Share & Forecast, 2016-2027
8.2.1. By Workflow
8.2.1.1. Discovery
8.2.1.1.1. Target Identification
8.2.1.1.2. Target Validation
8.2.1.1.3. Lead Discovery
8.2.1.2. Pre-Clinical Tests
8.2.1.3. Clinical Trials
8.2.2. By Product
8.2.2.1. Software
8.2.2.2. Services
8.2.3. By Software Type
8.2.3.1. Molecular Modeling Drug Design Software
8.2.3.2. Pharmacophore Modeling Software
8.2.4. By End-User
8.2.4.1. Contract Research Organizations
8.2.4.2. Pharmaceutical Industry
8.2.4.3. Academic and Research Institutes
8.2.4.4. Others (Hospitals and Other Care Facilities)
8.2.5. By Country
8.2.5.1. China
8.2.5.2. India
8.2.5.3. Japan
8.2.5.4. Australia
8.2.5.5. Rest of Asia Pacific
8.2.6. Manufacturer & Distributor List (Top 5)
8.2.7. Company Market Share (Top 3-5)
8.2.8. Economic Impact Study on Asia Pacific In-Silico Drug Discovery Market

9. South America In-Silico Drug Discovery Market Overview

9.1. South America In-Silico Drug Discovery Market Size & Forecast, 2016-2027
9.1.1. Demand
9.1.1.1. By Value (USD Million)
9.2. South America In-Silico Drug Discovery Market Share & Forecast, 2016-2027
9.2.1. By Workflow
9.2.1.1. Discovery
9.2.1.1.1. Target Identification
9.2.1.1.2. Target Validation
9.2.1.1.3. Lead Discovery
9.2.1.2. Pre-Clinical Tests
9.2.1.3. Clinical Trials
9.2.2. By Product
9.2.2.1. Software
9.2.2.2. Services
9.2.3. By Software Type
9.2.3.1. Molecular Modeling Drug Design Software
9.2.3.2. Pharmacophore Modeling Software
9.2.4. By End-User
9.2.4.1. Contract Research Organizations
9.2.4.2. Pharmaceutical Industry
9.2.4.3. Academic and Research Institutes
9.2.4.4. Others (Hospitals and Other Care Facilities)
9.2.5. By Country
9.2.5.1. Brazil
9.2.5.2. Argentina
9.2.5.3. Rest of South America
9.2.6. Manufacturer & Distributor List (Top 5)
9.2.7. Company Market Share (Top 3-5)
9.2.8. Economic Impact Study on South America In-Silico Drug Discovery Market

10. Middle East & Africa In-Silico Drug Discovery Market Overview

10.1. Middle East & Africa In-Silico Drug Discovery Market Size & Forecast, 2016-2027
10.1.1. Demand
10.1.1.1. By Value (USD Million)
10.2. Middle East & Africa In-Silico Drug Discovery Market Share & Forecast, 2016-2027
10.2.1. By Workflow
10.2.1.1. Discovery
10.2.1.1.1. Target Identification
10.2.1.1.2. Target Validation
10.2.1.1.3. Lead Discovery
10.2.1.2. Pre-Clinical Tests
10.2.1.3. Clinical Trials
10.2.2. By Product
10.2.2.1. Software
10.2.2.2. Services
10.2.3. By Software Type
10.2.3.1. Molecular Modeling Drug Design Software
10.2.3.2. Pharmacophore Modeling Software
10.2.4. By End-User
10.2.4.1. Contract Research Organizations
10.2.4.2. Pharmaceutical Industry
10.2.4.3. Academic and Research Institutes
10.2.4.4. Others (Hospitals and Other Care Facilities)
10.2.5. By Country
10.2.5.1. Saudi Arabia
10.2.5.2. UAE
10.2.5.3. South Africa
10.2.5.4. Rest of Middle East & Africa
10.2.6. Manufacturer & Distributor List (Top 5)
10.2.7. Company Market Share (Top 3-5)
10.2.8. Economic Impact Study on Middle East & Africa In-Silico Drug Discovery Market

11. Competitor Analysis

11.1. Company Description
11.2. Financial Analysis
11.3. Key Products
11.4. Key Management Personnel
11.5. Contact Address
11.6. SWOT Analysis
11.7. Company Profile
11.7.1. Albany Molecular Research Inc.
11.7.2. Certara USA, Inc.
11.7.3. Charles River
11.7.4. Chemical Computing Group
11.7.5. Collaborative Drug Discovery Inc.
11.7.6. Dassault System
11.7.7. Evotec A.G.
11.7.8. GVK Biosciences Private Limited
11.7.9. ICAGEN, INC.
11.7.10. Novo Informatics Pvt. Ltd.
11.7.11. Numerate Inc.
11.7.12. PerkinElmer Inc
11.7.13. SchrÃ¶dinger, LLC
11.7.14. Selvita
11.7.15. Simulation Plus
11.7.16. WuXi AppTec
11.7.17. Other Prominent Players

SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

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