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The global computational biology market was valued at USD 5.25 billion in 2023 driven by increasing investments in computational biology research and the rising interdisciplinary collaborations across the globe. 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.
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Computational biology is defined as a field of science that involves the collection, storage, organization, 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 study biological systems.
The global computational biology market 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 utilization of biological data to develop algorithms. The rapid development of molecular biology and genetic engineering tools has been contributing to the market growth significantly. The growing application of computational biology in various commercial and third-party services for carrying out drug discovery processes is likely to boost the market share in the forecast period. Other factors that influence the market growth include advancements in bioinformatics tools, innovations in cloud computing, and increased grants and funding programs to support computational biology research.
Regulatory Support for Advanced Computational Methods to Affect the Market Landscape Significantly
In August 2023, biosimulation company Certara’s division Simcyp Group received two new grants from the United States Food and Drug Administration (FDA) with the aim of expanding its innovative predictive models for drug virtual bioequivalence (VBE) studies and creating a formulation toolbox for topically applied drugs. This collaboration with the FDA will facilitate the development of model-informed approaches and is likely to ensure faster and more cost-effective development of novel drugs as well as complex generics. The rising regulatory support towards the integration of advanced computational methods in drug safety and efficacy evaluations is anticipated to bolster market growth in the coming years.
Increased Investment to Meet Rising Computational Biology Market Demand
There is a growing recognition of the importance and potential of computational biology, which is attracting significant investments from institutional investors, private donors, and venture capitalists. For instance, in November 2023, Carnegie Mellon University's Computational Biology Department received an investment of USD 25 million from the university's trustees. The funding was intended to be used in establishing an endowment, supporting the program's strategic priorities and infrastructure development. Such financial backing in the field of computational biology is poised to promote innovation and the development of new technologies, which will ultimately impact market growth.
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The market is witnessing several trends and developments to improve the current global scenario. Some of the notable trends are as follows:
Key Trends | Impact |
Integration of Artificial Intelligence and Machine Learning | One of the major market trends is the use of artificial intelligence (AI) and machine learning (ML) in computational biology which is enhancing the analysis of complex biological data. The rising development of AI-driven predictive models to simulate drug interactions and predict patient responses to therapies is expected to expedite the market growth. |
Growth of Personalized Medicine | Computational tools are accelerating the development of targeted therapies and personalized treatment plans, which are likely to improve patient outcomes and augment market demand. Moreover, the increasing availability of genomic data and advancements in bioinformatics are facilitating the growth of personalized medicine. |
Increased Collaboration and Interdisciplinary Research | The computational biology market share is influenced by the increased collaborative efforts across multiple disciplines, including biology, computer science, mathematics, and engineering. There is a growing trend of interdisciplinary research and collaboration among academic institutions, research organizations, and key market players which is anticipated to propel the development and commercialization of new computational tools. |
Adoption of High-Performance Computing (HPC) and Cloud Computing | The increasing adoption of high-performance computing (HPC) and cloud computing in computational biology is driving advances in genomics, drug discovery, and systems biology and is poised to impact the market dynamics. These technologies allow efficient handling of the growing volume of biological data and perform complex simulations. |
Market Breakup by Services
Market Breakup by Application
Market Breakup by End User
Market Breakup by Region
Market Segmentation Based on Application Areas is Anticipated to Witness Substantial Growth
The market breakup by application includes genomics and genetics, and drug discovery and development, among others. The genomics and genetics segment employs computational biology in the analysis and interpretation of genetic and genomic data. Computational tools are increasingly utilized in genome sequencing and analysis, genetic variation and mutation analysis, comparative genomics, and others. This segment benefits significantly by leveraging advanced computational biology techniques in research studies for facilitating an enhanced understanding of genetic disorders and the development of genetic tests. The drug discovery and development segment is also poised to witness substantial growth, owing to the growing demand for computer simulations in drug design, virtual screening to identify potential drug candidates, and the process of discovering new drugs and therapies.
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Based on the region, the market covers North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. In North America, the market holds a considerable share and is driven by the growing investments directed at the development of efficient design and modeling-related computational tools 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 market growth. The market will further be aided by the rising penetration of advanced digital solutions and high-performance computation tools, coupled with the increasing research and development across the region.
The key features of the market report comprise funding and investment analysis and strategic initiatives by the key players. The major companies in the market are as follows:
Chemical Computing Group
The software company based in Canada, is a key player in the market and is known for its drug discovery software platform MOE (Molecular Operating Environment) which integrates modeling and simulations, visualization, and methodology development.
Dassault Systèmes S.E.
This French multinational software corporation, specializing in the development of software for 3D product design and simulation, is a prominent player in the market. One of its popular products is the BIOVIA Pipeline Pilot which allows researchers to automate complex data analysis processes.
Certara, Inc.
Certara offers a wide range of services in model-based drug development, regulatory science, and clinical pharmacology and significantly contributes to the computational biology market growth. It boasts a robust portfolio including leading PK/PD modeling and simulation software Phoenix®.
Instem plc
Instem plc, a global provider of software solutions and services, offers a broad range of solutions supporting both preclinical and clinical research. The company is known for its ALPHADAS software solution, a clinical trial management system (CTMS) designed for early-phase clinical trials.
Other key players in the market include Compugen, Genedata, YOKOGAWA DENKI KABUSHIKI KAISHA, STRAND LIFE SCIENCES PRIVATE LIMITED, Schrödinger, Inc., and SimulationPlus.
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 Services |
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Breakup by Application |
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Breakup by End User |
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Breakup by Region |
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Market Dynamics |
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Supplier Landscape |
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Companies Covered |
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Computational Biology Market Size
Computational Biology Market Growth
Computational Biology Market Trends
Computational Biology Market Share
Computational Biology Regional Analysis
Computational Biology Companies
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.
1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage – Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Computational Biology Market Overview
3.1 Global Computational Biology Market Historical Value (2017-2023)
3.2 Global Computational Biology Market Forecast Value (2024-2032)
4 Vendor Positioning Analysis
4.1 Key Vendors
4.2 Prospective Leaders
4.3 Niche Leaders
4.4 Disruptors
5 Global Computational Biology Market Landscape*
5.1 Global Computational Biology: Developers Landscape
5.1.1 Analysis by Year of Establishment
5.1.2 Analysis by Company Size
5.1.3 Analysis by Region
5.2 Global Computational Biology: Product Landscape
5.2.1 Analysis by Services
6 Global Computational Biology Market Dynamics
6.1 Market Drivers and Constraints
6.2 SWOT Analysis
6.2.1 Strengths
6.2.2 Weaknesses
6.2.3 Opportunities
6.2.4 Threats
6.3 PESTEL Analysis
6.3.1 Political
6.3.2 Environmental
6.3.3 Social
6.3.4 Technological
6.3.5 Ethical
6.3.6 Legal
6.4 Porter’s Five Forces Model
6.4.1 Bargaining Power of Suppliers
6.4.2 Bargaining Power of Buyers
6.4.3 Threat of New Entrants
6.4.4 Threat of Substitutes
6.4.5 Degree of Rivalry
6.5 Key Demand Indicators
6.6 Key Price Indicators
6.7 Industry Events, Initiatives, and Trends
6.8 Value Chain Analysis
7 Global Computational Biology Market Segmentation (2017-2032)
7.1 Global Computational Biology Market (2017-2032) by Services
7.1.1 Market Overview
7.1.2 On-Premises
7.1.3 Cloud-Based
7.2 Global Computational Biology Market (2017-2032) by Application
7.2.1 Market Overview
7.2.2 Genomics and Genetics
7.2.3 Drug Discovery and Development
7.2.4 Others
7.3 Global Computational Biology Market (2017-2032) by End User
7.3.1 Market Overview
7.3.2 Academics
7.3.3 Industry
7.3.4 Commercial
7.4 Global Computational Biology Market (2017-2032) by Region
7.4.1 Market Overview
7.4.2 North America
7.4.3 Europe
7.4.4 Asia Pacific
7.4.5 Latin America
7.4.6 Middle East and Africa
8 North America Computational Biology Market (2017-2032)
8.1 North America Computational Biology Market (2017-2032) by Services
8.1.1 Market Overview
8.1.2 On-Premises
8.1.3 Cloud-Based
8.2 North America Computational Biology Market (2017-2032) by Application
8.2.1 Market Overview
8.2.2 Genomics and Genetics
8.2.3 Drug Discovery and Development
8.2.4 Others
8.3 North America Computational Biology Market (2017-2032) by Country
8.3.1 United States of America
8.3.2 Canada
9 Europe Computational Biology Market (2017-2032)
9.1 Europe Computational Biology Market (2017-2032) by Services
9.1.1 Market Overview
9.1.2 On-Premises
9.1.3 Cloud-Based
9.2 Europe Computational Biology Market (2017-2032) by Application
9.2.1 Market Overview
9.2.2 Genomics and Genetics
9.2.3 Drug Discovery and Development
9.2.4 Others
9.3 Europe Computational Biology Market (2017-2032) by Country
9.3.1 United Kingdom
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Others
10 Asia Pacific Computational Biology Market (2017-2032)
10.1 Asia Pacific Computational Biology Market (2017-2032) by Services
10.1.1 Market Overview
10.1.2 On-Premises
10.1.3 Cloud-Based
10.2 Asia-Pacific Computational Biology Market (2017-2032) by Application
10.2.1 Market Overview
10.2.2 Genomics and Genetics
10.2.3 Drug Discovery and Development
10.2.4 Others
10.3 Asia Pacific Computational Biology Market (2017-2032) by Country
10.3.1 China
10.3.2 Japan
10.3.3 India
10.3.4 ASEAN
10.3.5 Australia
10.3.6 Others
11 Latin America Computational Biology Market (2017-2032)
11.1 Latin America Computational Biology Market (2017-2032) by Services
11.1.1 Market Overview
11.1.2 On-Premises
11.1.3 Cloud-Based
11.2 Latin America Computational Biology Market (2017-2032) by Application
11.2.1 Market Overview
11.2.2 Genomics and Genetics
11.2.3 Drug Discovery and Development
11.2.4 Others
11.3 Latin America Computational Biology Market (2017-2032) by Country
11.3.1 Brazil
11.3.2 Argentina
11.3.3 Mexico
11.3.4 Others
12 Middle East and Africa Computational Biology Market (2017-2032)
12.1 Middle East and Africa Computational Biology Market (2017-2032) by Services
12.1.1 Market Overview
12.1.2 On-Premises
12.1.3 Cloud-Based
12.2 Middle East and Africa Computational Biology Market (2017-2032) by Application
12.2.1 Market Overview
12.2.2 Genomics and Genetics
12.2.3 Drug Discovery and Development
12.2.4 Others
12.3 Middle East and Africa Computational Biology Market (2017-2032) by Country
12.3.1 Saudi Arabia
12.3.2 United Arab Emirates
12.3.3 Nigeria
12.3.4 South Africa
12.3.5 Others
13 Funding and Investment Analysis
13.1 Analysis by Funding Instances
13.2 Analysis by Type of Funding
13.3 Analysis by Funding Amount
13.4 Analysis by Leading Players
13.5 Analysis by Leading Investors
13.6 Analysis by Geography
14 Strategic Initiatives
14.1 Analysis by Partnership Instances
14.2 Analysis by Type of Partnership and Collaborations
14.3 Analysis by Joint Ventures
14.4 Analysis by Leading Players
14.5 Analysis by Geography
15 Supplier Landscape
15.1 Market Share Analysis, By Region (Top 5 Companies)
15.1.1 Market Share Analysis: Global
15.1.2 Market Share Analysis: North America
15.1.3 Market Share Analysis: Europe
15.1.4 Market Share Analysis: Asia-Pacific
15.1.5 Market Share Analysis: Others
15.2 Chemical Computing Group
15.2.1 Financial Analysis
15.2.2 Product Portfolio
15.2.3 Demographic Reach and Achievements
15.2.4 Mergers and Acquisitions
15.2.5 Certifications
15.3 Dassault Systèmes S.E .
15.3.1 Financial Analysis
15.3.2 Product Portfolio
15.3.3 Demographic Reach and Achievements
15.3.4 Mergers and Acquisitions
15.3.5 Certifications
15.4 Certara, Inc .
15.4.1 Product Portfolio
15.4.2 Demographic Reach and Achievements
15.4.3 Mergers and Acquisitions
15.4.4 Certifications
15.5 Instem plc
15.5.1 Financial Analysis
15.5.2 Product Portfolio
15.5.3 Demographic Reach and Achievements
15.5.4 Mergers and Acquisitions
15.5.5 Certifications
15.6 Compugen
15.6.1 Financial Analysis
15.6.2 Product Portfolio
15.6.3 Demographic Reach and Achievements
15.6.4 Mergers and Acquisitions
15.6.5 Certifications
15.7 Genedata
15.7.1 Financial Analysis
15.7.2 Product Portfolio
15.7.3 Demographic Reach and Achievements
15.7.4 Mergers and Acquisitions
15.7.5 Certifications
15.8 OKOGAWA DENKI KABUSHIKI KAISHA
15.8.1 Financial Analysis
15.8.2 Product Portfolio
15.8.3 Demographic Reach and Achievements
15.8.4 Mergers and Acquisitions
15.8.5 Certifications
15.9 STRAND LIFE SCIENCES PRIVATE LIMITED
15.9.1 Financial Analysis
15.9.2 Product Portfolio
15.9.3 Demographic Reach and Achievements
15.9.4 Mergers and Acquisitions
15.9.5 Certifications
15.10 Schrödinger, Inc .
15.10.1 Financial Analysis
15.10.2 Product Portfolio
15.10.3 Demographic Reach and Achievements
15.10.4 Mergers and Acquisitions
15.10.5 Certifications
15.11 SimulationPlus
15.11.1 Financial Analysis
15.11.2 Product Portfolio
15.11.3 Demographic Reach and Achievements
15.11.4 Mergers and Acquisitions
15.11.5 Certifications
16 Global Computational Biology Market – Distribution Model (Additional Insight)
16.1 Overview
16.2 Potential Distributors
16.3 Key Parameters for Distribution Partner Assessment
17 Key Opinion Leaders (KOL) Insights (Additional Insight)
*Additional insights provided are customisable as per client requirements.
* The coverage of the Market Landscape section depends on the data availability and may cover a minimum of 80% of the total market. The EMR team strives to make this section as comprehensive as possible.
**The supplier list is not exhaustive. Moreover, we can provide analysis of companies as per custom requests.
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