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In-Silico Drug Discovery Market

In-Silico Drug Discovery Market Size, Share & Trends Analysis Report By Products (Software, Software-as-a-Service (SaaS), Consultancy-as-a-Service), By Workflow (Discovery, Pre-Clinical Tests, Clinical Trials), By Technology, By Software Type, By End User, By Region, And By Segment Forecasts, 2023-2031.

Report ID : 2223 | Published : 2023-11-27 | Pages: 180 | Format: PDF/EXCEL

In-Silico Drug Discovery Market Size is valued at USD 2.15 Bn in 2022 and is predicted to reach USD 9.23 Bn by the year 2031 at a 17.78% CAGR during the forecast period for 2023-2031.

In-Silico Drug Discovery Market

In-silico drug discovery approaches can aid in the identification of therapeutic targets. The approaches can also examine potential binding active areas in the target structures. Using computational approaches and computers permeates all parts of drug research and design. These techniques are making it easier to enter the vast amounts of data being produced and to evaluate the complicated biological data involved to gain insights that can be used in the drug discovery process. These computational techniques can potentially speed up and reduce the cost of delivering potential new medication candidates.

The in-silico drug design process has applications throughout the entire drug development process. These techniques help choose the most effective lead molecule, which can save time and money by avoiding costly setbacks in the later stages of clinical testing. Furthermore, developing new pharmaceutical molecules and rapid technological advancements in computational biology drive the global in-silico drug discovery industry. These advancements have facilitated the data processing and analysis phases of sequencing, shortened turnaround time and improved accuracy.

However, the market growth is hampered by the lack of knowledge of the safety and health of the in-silico drug discovery market and the product's inability to prevent fog in environments with dramatic temperature fluctuations or high humidity in-silico drug discovery, the technology's analysis timescales are substantial independent of the size of the stimulated systems, ranging from tens to hundreds of nanoseconds. Unfortunately, it is sometimes impossible to determine protein folding in such a short period, ranging from milliseconds to seconds. The in-silico drug discovery market is expected to be propelled throughout the forecast period by technical advances, strong vendors, and a huge patient population suffering from serious diseases. A variety of chronic and infectious diseases, such as COVID-19 and chronic kidney disease, and an improving healthcare infrastructure are receiving a growing amount of attention.

Competitive Landscape

Some Major Key Players In The In-Silico Drug Discovery Market:

  • Aragen Life Sciences Pvt. Ltd.
  • Curia Global, Inc.
  • Certara, USA.
  • Charles River
  • Chemical Computing Group ULC.
  • Collaborative Drug Discovery Inc.
  • Dassault Systemes
  • e-therapeutics plc.
  • Evotec
  • Insilico Medicine
  • Ligand Pharmaceuticals Incorporated
  • Numerate, Inc.
  • PerkinElmer Inc.
  • Schrödinger, Inc.
  • Selvita
  • Simulations Plus
  • Tracxn Technologies
  • WuXi AppTec
  • Others

Market Segmentation:

The in-silico drug discovery market is segmented based on workflow, products, technology, software and end users. As per the workflow, the market is segmented into discovery, pre-clinical tests, and clinical trials. By products, the market is segmented into software, software-as-a-service (SaaS), and consultancy-as-a-service. By technology, the market is segmented into artificial intelligence, graphics processing units (GPUs), and other technologies. By software, the market is segmented into molecular modelling de novo drug design software and pharmacophore modelling software. By end user, the market is segmented into contract research organizations, pharmaceutical and biopharmaceutical companies, academic and research institutes, and others. 

Based On The Products, The Software-As-A-Service (SAAS) In-Silico Drug Discovery Market Segment Is A Major Contributor To The In-Silico Drug Discovery Market. 

The software-as-a-service (SaaS) in-silico drug discovery market is expected to lead with a major global market share in 2022. Businesses can save money by switching to software-as-a-service (SaaS) since there is no need to purchase and install software on each employee's computer, the service can grow as the company does, it can be integrated with other programs, and updates are distributed instantly to all users.

Graphics Processing Unit (GPU) Segment To Witness Growth At A Rapid Rate.

The graphics processing unit (GPU) makes up the bulk of in-silico drug discovery because GPU can significantly improve a computer's processing speed and efficiency. Accelerating the processing of technical and scientific data, GPUs are increasingly being used in tandem with CPUs to boost performance, especially in countries like the US, Germany, the UK, China, and India.

In The Region, The North American In-Silico Drug Discovery Market Holds A Significant Revenue Share.

The North American in-silico drug discovery market is expected to record the maximum market share in revenue in the near future. It can be attributed to the high demand for therapies for diseases with low prevalence, such as cystic fibrosis and ALS. The industry is growing because the infrastructure connecting suppliers and distributors is more advanced in this area than in any other. In addition, Asia Pacific is estimated to grow rapidly in the global in-silico drug discovery market because of the increasing patient population with diseases, both chronic and infectious and other conditions, and a growing government focus on strengthening healthcare infrastructure are all factors pushing the market forward. 

Recent Developments:

  • In May 2023, FAR Biotech and Aragen Life Sciences initiated a collaborative effort to progress the neurodegeneration preclinical program. Aragen has been selected to furnish integrated drug discovery (IDD) services to bolster FAR Biotech's quantum biomodelling approach.
  • In June 2022, Certara introduced the Simcyp Discovery Simulator, an innovative software specifically developed for scientists engaged in translational research and small-molecule drug discovery. Utilizing physiologically based pharmacokinetic (PBPK) modelling and simulation, Simcyp Discovery, which was derived from the industry-leading Simcyp Simulator, bolstered confidence in early-stage development decisions.  

In-Silico Drug Discovery Market Report Scope

Report Attribute

Specifications

Market Size Value In 2022

USD 2.15 Bn

Revenue Forecast In 2031

USD 9.23 Bn

Growth Rate CAGR

CAGR of 17.78% from 2023 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2023 to 2031

Historic Year

2019 to 2022

Forecast Year

2023-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Products, By Workflow, By Technology, By Software Type, By End User

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Aragen Life Sciences Pvt. Ltd., Curia Global, Inc., Certara, USA., Charles River, Chemical Computing Group ULC., Collaborative Drug Discovery Inc., Dassault Systemes, e-therapeutics plc., Evotec, Insilico Medicine, Ligand Pharmaceuticals Incorporated, Numerate, Inc., PerkinElmer Inc., Schrödinger, Inc., Selvita, Simulations Plus, Tracxn Technologies, WuXi AppTec. And others.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global In-Silico Drug Discovery Market Snapshot

Chapter 4. Global In-Silico Drug Discovery Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Software Type Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Product Estimates & Trend Analysis

5.1. By Product, & Market Share, 2020 & 2031

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Product:

5.2.1. Software

5.2.2. Software-as-a-Service (Cloud)

5.2.3. Consultancy-as-a-Service

Chapter 6. Market Segmentation 2: By Workflow Estimates & Trend Analysis

6.1. By Workflow & Market Share, 2020 & 2031

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Workflow:

6.2.1. Discovery

6.2.1.1. Target Identification

6.2.1.1.1. Bioinformatics

6.2.1.1.2. Reverse Docking

6.2.1.1.3. Protein Structure Prediction

6.2.1.2. Target Validation

6.2.1.3. Lead Discovery

6.2.1.3.1. Library Design

6.2.1.3.2. Pharmacophore

6.2.2. Pre-Clinical Tests

6.2.3. Clinical Trials

Chapter 7. Market Segmentation 3: By Software Type Estimates & Trend Analysis

7.1. By Software Type & Market Share, 2020 & 2031

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Software Type:

7.2.1. Molecular Modeling and De Novo Drug Design Software

7.2.2. Pharmacophore Modeling Software

Chapter 8. Market Segmentation 4: By Technology Estimates & Trend Analysis

8.1. By Technology & Market Share, 2020 & 2031

8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Technology:

8.2.1. Artificial Intelligence

8.2.1.1. Computational Methods Used by Advanced AI Companies

8.2.1.2. Use of Artificial Intelligence to Combat COVID-19 Pandemic

8.2.2. Graphics Processing Unit

8.2.3. Other Technologies

8.2.3.1. In-Silico Fishing

8.2.3.2. RNN for Drug Design

Chapter 9. Market Segmentation 5: By End User Estimates & Trend Analysis

9.1. By End User & Market Share, 2020 & 2031

9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By End User:

9.2.1. Contract Research Organizations

9.2.2. Pharmaceutical and Biopharmaceutical Companies

9.2.3. Academic and Research Institutes

9.2.4. Other End Users (Hospitals and Other Care Facilities)

Chapter 10. In-Silico Drug Discovery Market Segmentation 7: Regional Estimates & Trend Analysis

10.1. North America

10.1.1. North America In-Silico Drug Discovery Market revenue (US$ Million) estimates and forecasts By Product, 2019-2031

10.1.2. North America In-Silico Drug Discovery Market revenue (US$ Million) estimates and forecasts By Workflow, 2019-2031

10.1.3. North America In-Silico Drug Discovery Market revenue (US$ Million) estimates and forecasts By Software Type, 2019-2031

10.1.4. North America In-Silico Drug Discovery Market revenue (US$ Million) estimates and forecasts By Technology, 2019-2031

10.1.5. North America In-Silico Drug Discovery Market revenue (US$ Million) estimates and forecasts By End User, 2019-2031

10.1.6. North America In-Silico Drug Discovery Market revenue (US$ Million) estimates and forecasts by country, 2019-2031

10.2. Europe

10.2.1. Europe In-Silico Drug Discovery Market revenue (US$ Million) By Product, 2019-2031

10.2.2. Europe In-Silico Drug Discovery Market revenue (US$ Million) By Workflow, 2019-2031

10.2.3. Europe In-Silico Drug Discovery Market revenue (US$ Million) By Software Type, 2019-2031

10.2.4. Europe In-Silico Drug Discovery Market revenue (US$ Million) By Technology, 2019-2031

10.2.5. Europe In-Silico Drug Discovery Market revenue (US$ Million) By End User, 2019-2031

10.2.6. Europe In-Silico Drug Discovery Market revenue (US$ Million) by country, 2019-2031

10.3. Asia Pacific

10.3.1. Asia Pacific In-Silico Drug Discovery Market revenue (US$ Million) By Product, 2019-2031

10.3.2. Asia Pacific In-Silico Drug Discovery Market revenue (US$ Million) By Workflow, 2019-2031

10.3.3. Asia Pacific In-Silico Drug Discovery Market revenue (US$ Million) By Software Type, 2019-2031

10.3.4. Asia Pacific In-Silico Drug Discovery Market revenue (US$ Million) By Technology, 2019-2031

10.3.5. Asia Pacific In-Silico Drug Discovery Market revenue (US$ Million) By End User, 2019-2031

10.3.6. Asia Pacific In-Silico Drug Discovery Market revenue (US$ Million) by country, 2019-2031

10.4. Latin America

10.4.1. Latin America In-Silico Drug Discovery Market revenue (US$ Million) By Product, (US$ Million) 2019-2031

10.4.2. Latin America In-Silico Drug Discovery Market revenue (US$ Million) By Workflow, (US$ Million) 2019-2031

10.4.3. Latin America In-Silico Drug Discovery Market revenue (US$ Million) By Software Type, (US$ Million) 2019-2031

10.4.4. Latin America In-Silico Drug Discovery Market revenue (US$ Million) By Technology, (US$ Million) 2019-2031

10.4.5. Latin America In-Silico Drug Discovery Market revenue (US$ Million) By End User, (US$ Million) 2019-2031

10.4.6. Latin America In-Silico Drug Discovery Market revenue (US$ Million) by country, 2019-2031

10.5. Middle East & Africa

10.5.1. Middle East & Africa In-Silico Drug Discovery Market revenue (US$ Million) By Product, (US$ Million) 2019-2031

10.5.2. Middle East & Africa In-Silico Drug Discovery Market revenue (US$ Million) By Workflow, (US$ Million) 2019-2031

10.5.3. Middle East & Africa In-Silico Drug Discovery Market revenue (US$ Million) By Software Type, (US$ Million) 2019-2031

10.5.4. Middle East & Africa In-Silico Drug Discovery Market revenue (US$ Million) By Technology, (US$ Million) 2019-2031

10.5.5. Middle East & Africa In-Silico Drug Discovery Market revenue (US$ Million) By End User, (US$ Million) 2019-2031

10.5.6. Middle East & Africa In-Silico Drug Discovery Market revenue (US$ Million) by country, 2019-2031

Chapter 11. Competitive Landscape

11.1. Major Mergers and Acquisitions/Strategic Alliances

11.2. Company Profiles

11.2.1. Aragen Life Sciences Pvt. Ltd. (GVK Biosciences Pvt. Ltd.)     

11.2.2. Curia Global, Inc. (Albany Molecular Research Inc.)    

11.2.3. Certara, USA.

11.2.4. Charles River    

11.2.5. Chemical Computing Group ULC. (CCG)

11.2.6. Collaborative Drug Discovery Inc. (CDD)   

11.2.7. Dassault Systemes  

11.2.8. e-therapeutics plc.   

11.2.9. Evotec (Cyprotex)

11.2.10. Insilico Medicine

11.2.11. Ligand Pharmaceuticals Incorporated (Icagen, Inc.)

11.2.12. Numerate, Inc.

11.2.13. PerkinElmer Inc.

11.2.14. Schrödinger, Inc.

11.2.15. Selvita

11.2.16. Simulations Plus

11.2.17. Tracxn Technologies (Novo Informatics Pvt. Ltd.)

11.2.18. WuXi AppTec

Segmentation of In-Silico Drug Discovery Market-

In-Silico Drug Discovery Market By Products-

  • Software
  • Software-as-a-Service (SaaS)
  • Consultancy-as-a-Service

In-Silico Drug Discovery Market Seg

In-Silico Drug Discovery Market By Workflow-

  • Discovery
    • Target Identification
      • Bioinformatics
      • Reverse Docking
      • Protein Structure Prediction
    • Target Validation
    • Lead Discovery
      • Library Design
      • Pharmacophore
    • Pre-Clinical Tests
    • Clinical Trials

In-Silico Drug Discovery Market By Technology-

  • Artificial Intelligence
  • Graphics Processing Unit (GPU)
  • Other Technologies
    • In-Silico Fishing
    • RNN for Drug Design

In-Silico Drug Discovery Market By Software Type-

  • Molecular modelling and de novo drug design software
  • Pharmacophore Modelling software

In-Silico Drug Discovery Market By End User-

  • Contract Research Organizations
  • Pharmaceutical and Biopharmaceutical Companies
  • Academic and Research Institutes
  • Others

In-Silico Drug Discovery Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the In-Silico Drug Discovery Market?

In-Silico Drug Discovery Market expected to grow at a 17.78% CAGR during the forecast period for 2023-2031.

Ligand Pharmaceuticals Incorporated, Numerate, Inc., PerkinElmer Inc., Schrödinger, Inc., Selvita, Simulations Plus, Tracxn Technologies, WuXi AppTec.

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