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Global Computational Biology Market Size, Share, Forecast: By Application: Cellular and Biological Simulation, Drug Discovery and Disease Modelling, Preclinical Drug Development, Clinical Trials, Human Body Simulation Software; By Services; By End Use; Regional Analysis; Market Dynamics; Competitive Landscape; 2024-2032
Global Computational Biology Market Outlook
The global computational biology market stood at a value of more than USD 5.25 billion in 2023. The market is further expected to grow at a CAGR of 22.5% in the forecast period of 2024-2032 to attain a value of over USD 32.55 billion by 2032.
Growing Application in Cellular and Biological Simulation Segment, owing to its Reliable Statistical Analysis, to Bolster the Growth of the Computational Biology Industry
Based on application, the cellular and biological simulation segment accounts for a significant share in the market and is anticipated to witness a considerable growth in the forecast period. The growth of this segment is driven by the growing importance of computational genomics, which is used to help sequence the human genome, create accurate models of the human brain, and assist in modelling biological systems.
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Computational genomics offers a reliable computational and statistical analysis to decipher biology from genome sequences and related data, which is likely to be a major driving factor driving the segment growth.
North America Accounts for a Significant Share in the Market
The computational biology industry in North America is driven by the growing investments towards the development of efficient design and modelling-related computational tools in the region to assess the complexity of biological systems. Over the forecast period, the rising government funding towards academic and biological research studies in countries like the United States and Canada is likely to propel the growth of the computational biology industry. The market in the region will further be aided by the growing penetration of advanced digital solutions and high-performance computation tools, coupled with the growing R&D across the region.
Computational Biology: Market Segmentation
Computational biology is defined as a field of science that involves the collection, storage, organisation, and analysis of a large amount of biological, medical, and health-related data with the help of computers, databases, applied mathematics, statistics, and others. It involves the development and application of mathematical modelling, computational simulation techniques, and data-analytical methods to the study of biological systems.
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Based on application, the market is segmented into:
- Cellular and Biological Simulation
- Computational Genomics
- Databases
- Infrastructure (Hardware)
- Analysis Software and Services
- Computational Proteomics
- Pharmacogenomics
- Others
- Computational Genomics
- Drug Discovery and Disease Modelling
- Target Identification
- Target Validation
- Lead Discovery
- Lead Optimisation
- Preclinical Drug Development
- Pharmacokinetics
- Pharmacodynamics
- Clinical Trials
- Phase I
- Phase II
- Phase III
- Human Body Simulation Software
On the basis of services, the industry is divided into:
- In-House
- Contract
The major end uses of computational biology include:
- Academics
- Industry
- Commercial
The regional markets for the product include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
Rising Application in Various End Use Sectors to Boost the Growth of the Computational Biology Industry
The global computational biology industry is driven by its growing demand in various end use sectors, including academics and research studies. The computational approaches help enhance the management of a large volume of data during clinical trials and allow for the efficient utilisation of biological data to develop algorithms. The rapid development of molecular biology and genetic engineering tools has been contributing to the market growth significantly. Over the forecast period, the growing application of computational biology in various commercial and third-party services for carrying out drug discovery processes is likely to accelerate the market growth. Additionally, the acceleration in research and development activities to further drug discovery and disease modelling, especially after the COVID-19 outbreak, is expected to favour the market growth.
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Key Industry Players in the Global Computational Biology Market
The report gives a detailed analysis of the following key players in the global computational biology market, covering their competitive landscape, capacity, and latest developments like mergers, acquisitions, and investments, expansions of capacity, and plant turnarounds:
- Chemical Computing Group ULC
- Dassault Systèmes S.E.
- Certara, Inc.
- Leadscope Inc.
- Compugen Ltd.
- Genedata AG
- Others
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis.
Key Highlights of the Report
| REPORT FEATURES | DETAILS |
| Base Year | 2023 |
| Historical Period | 2017-2023 |
| Forecast Period | 2024-2032 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Application |
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| Breakup by Services |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Industry Opportunities and Challenges
8 Global Computational Biology Market Analysis
8.1 Key Industry Highlights
8.2 Global Computational Biology Historical Market (2018-2023)
8.3 Global Computational Biology Market Forecast (2024-2032)
8.4 Global Computational Biology Market by Application
8.4.1 Cellular and Biological Simulation
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.1.3 Breakup by Technology
8.4.1.3.1 Computational Genomics
8.4.1.3.1.1 Historical Trend (2018-2023)
8.4.1.3.1.2 Forecast Trend (2024-2032)
8.4.1.3.1.3 Breakup by Type
8.4.1.3.1.3.1 Databases
8.4.1.3.1.3.2 Infrastructure (Hardware)
8.4.1.3.1.3.3 Analysis Software and Services
8.4.1.3.2 Computational Proteomics
8.4.1.3.2.1 Historical Trend (2018-2023)
8.4.1.3.2.2 Forecast Trend (2024-2032
8.4.1.3.3 Pharmacogenomics
8.4.1.3.3.1 Historical Trend (2018-2023)
8.4.1.3.3.2 Forecast Trend (2024-2032)
8.4.1.3.4 Others
8.4.2 Drug Discovery and Disease Modelling
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.4.2.3 Breakup by Process
8.4.2.3.1 Target Identification
8.4.2.3.1.1 Historical Trend (2018-2023)
8.4.2.3.1.2 Forecast Trend (2024-2032)
8.4.2.3.2 Target Validation
8.4.2.3.2.1 Historical Trend (2018-2023)
8.4.2.3.2.2 Forecast Trend (2024-2032)
8.4.2.3.3 Lead Discovery
8.4.2.3.3.1 Historical Trend (2018-2023)
8.4.2.3.3.2 Forecast Trend (2024-2032)
8.4.2.3.4 Lead Optimisation
8.4.2.3.4.1 Historical Trend (2018-2023)
8.4.2.3.4.2 Forecast Trend (2024-2032)
8.4.3 Preclinical Drug Development
8.4.3.1 Historical Trend (2018-2023)
8.4.3.2 Forecast Trend (2024-2032)
8.4.3.3 Breakup by Mechanism
8.4.3.3.1 Pharmacokinetics
8.4.3.3.1.1 Historical Trend (2018-2023)
8.4.3.3.1.2 Forecast Trend (2024-2032)
8.4.3.3.2 Pharmacodynamics
8.4.3.3.2.1 Historical Trend (2018-2023)
8.4.3.3.2.2 Forecast Trend (2024-2032)
8.4.4 Clinical Trials
8.4.4.1 Historical Trend (2018-2023)
8.4.4.2 Forecast Trend (2024-2032)
8.4.4.3 Breakup by Phase
8.4.4.3.1 Phase I
8.4.4.3.1.1 Historical Trend (2018-2023)
8.4.4.3.1.2 Forecast Trend (2024-2032)
8.4.4.3.2 Phase II
8.4.4.3.2.1 Historical Trend (2018-2023)
8.4.4.3.2.2 Forecast Trend (2024-2032)
8.4.4.3.3 Phase III
8.4.4.3.3.1 Historical Trend (2018-2023)
8.4.4.3.3.2 Forecast Trend (2024-2032)
8.4.5 Human Body Simulation Software
8.4.5.1 Historical Trend (2018-2023)
8.4.5.2 Forecast Trend (2024-2032)
8.5 Global Computational Biology Market by Services
8.5.1 In-House
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Contract
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Computational Biology Market by End Use
8.6.1 Academics
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Industry
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Commercial
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.7 Global Computational Biology Market by Region
8.7.1 North America
8.7.2 Europe
8.7.3 Asia Pacific
8.7.4 Latin America
8.7.5 Middle East and Africa
9 Regional Analysis
9.1 North America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.1.3 Breakup by Country
9.1.3.1 United States of America
9.1.3.2 Canada
9.2 Europe
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
9.2.3 Breakup by Country
9.2.3.1 United Kingdom
9.2.3.2 Germany
9.2.3.3 France
9.2.3.4 Italy
9.2.3.5 Others
9.3 Asia Pacific
9.3.1 Historical Trend (2018-2023)
9.3.2 Forecast Trend (2024-2032)
9.3.3 Breakup by Country
9.3.3.1 China
9.3.3.2 Japan
9.3.3.3 India
9.3.3.4 ASEAN
9.3.3.5 Australia
9.3.3.6 Others
9.4 Latin America
9.4.1 Historical Trend (2018-2023)
9.4.2 Forecast Trend (2024-2032)
9.4.3 Breakup by Country
9.4.3.1 Brazil
9.4.3.2 Argentina
9.4.3.3 Mexico
9.4.3.4 Others
9.5 Middle East and Africa
9.5.1 Historical Trend (2018-2023)
9.5.2 Forecast Trend (2024-2032)
9.5.3 Breakup by Country
9.5.3.1 Saudi Arabia
9.5.3.2 United Arab Emirates
9.5.3.3 Nigeria
9.5.3.4 South Africa
9.5.3.5 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Value Chain Analysis
12 Competitive Landscape
12.1 Market Structure
12.2 Company Profiles
12.2.1 Chemical Computing Group ULC
12.2.1.1 Company Overview
12.2.1.2 Product Portfolio
12.2.1.3 Demographic Reach and Achievements
12.2.1.4 Certifications
12.2.2 Dassault Systèmes S.E.
12.2.2.1 Company Overview
12.2.2.2 Product Portfolio
12.2.2.3 Demographic Reach and Achievements
12.2.2.4 Certifications
12.2.3 Certara, Inc.
12.2.3.1 Company Overview
12.2.3.2 Product Portfolio
12.2.3.3 Demographic Reach and Achievements
12.2.3.4 Certifications
12.2.4 Leadscope Inc.
12.2.4.1 Company Overview
12.2.4.2 Product Portfolio
12.2.4.3 Demographic Reach and Achievements
12.2.4.4 Certifications
12.2.5 Compugen Ltd.
12.2.5.1 Company Overview
12.2.5.2 Product Portfolio
12.2.5.3 Demographic Reach and Achievements
12.2.5.4 Certifications
12.2.6 Genedata AG
12.2.6.1 Company Overview
12.2.6.2 Product Portfolio
12.2.6.3 Demographic Reach and Achievements
12.2.6.4 Certifications
12.2.7 Others
13 Industry Events and Developments
List of Key Figures and Tables
1. Global Computational Biology Market: Key Industry Highlights, 2018 and 2032
2. Global Computational Biology Historical Market: Breakup by Application (USD Billion), 2018-2023
3. Global Computational Biology Market Forecast: Breakup by Application (USD Billion), 2024-2032
4. Global Computational Biology Historical Market: Breakup by Services (USD Billion), 2018-2023
5. Global Computational Biology Market Forecast: Breakup by Services (USD Billion), 2024-2032
6. Global Computational Biology Historical Market: Breakup by End Use (USD Billion), 2018-2023
7. Global Computational Biology Market Forecast: Breakup by End Use (USD Billion), 2024-2032
8. Global Computational Biology Historical Market: Breakup by Region (USD Billion), 2018-2023
9. Global Computational Biology Market Forecast: Breakup by Region (USD Billion), 2024-2032
10. North America Computational Biology Historical Market: Breakup by Country (USD Billion), 2018-2023
11. North America Computational Biology Market Forecast: Breakup by Country (USD Billion), 2024-2032
12. Europe Computational Biology Historical Market: Breakup by Country (USD Billion), 2018-2023
13. Europe Computational Biology Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Asia Pacific Computational Biology Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Asia Pacific Computational Biology Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Latin America Computational Biology Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Latin America Computational Biology Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Middle East and Africa Computational Biology Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Middle East and Africa Computational Biology Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Global Computational Biology Market Structure
Key Questions Answered in the Report
In 2023, the global computational biology market attained a value of more than USD 5.25 billion.
The market is estimated to grow at a CAGR of 22.5% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach over USD 32.55 billion by 2032.
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The major drivers of the industry, such as the rising applications of computational biology in various end use sectors, the growing demand for efficient database management and computational tools for clinical trials and drug discovery processes, and growing digitalisation, are expected to aid the market growth.
The key market trends guiding the growth of the industry include the growing technological advancements in the biotechnology sector, along with the increasing penetration of digital solutions.
Cellular and biological simulation, drug discovery and disease modelling, preclinical drug development, clinical trials, and human body simulation software are the major applications of computational biology.
In-house and contract are the different services in the computational biology market.
Academics, industry, and commercial are the significant end uses of computational biology.
The major players in the industry are Chemical Computing Group ULC, Dassault Systèmes S.E., Certara, Inc., Leadscope Inc., Compugen Ltd., and Genedata AG, among others.
Analyst Review
The global computational biology market attained a value of more than USD 5.25 billion in 2023, driven by the growing technological advancements, rapid development of molecular biology, and increasing application of computational biology in various end use sectors. Aided by the growing R&D activities aimed towards drug discovery, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 22.5%. The market is projected to reach over USD 32.55 billion by 2032.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on application, the market is divided into cellular and biological simulation, drug discovery and disease modelling, preclinical drug development, clinical trials, and human body simulation software. On the basis of service, the market is segmented into in-house and contract. The significant end uses of the product include academics, industry, and commercial. The major regional markets for computational biology are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Chemical Computing Group ULC, Dassault Systèmes S.E., Certara, Inc., Leadscope Inc., Compugen Ltd., and Genedata AG, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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