The computational biology market size has grown exponentially in recent years. It will grow from $9.47 billion in 2025 to $11.68 billion in 2026 at a compound annual growth rate (CAGR) of 23.4%. The growth in the historic period can be attributed to advancements in genomic sequencing technologies, increased availability of biological datasets, growing collaboration between biology and computer science, expansion of academic bioinformatics research, early adoption of computational modelling in life sciences.
The computational biology market size is expected to see exponential growth in the next few years. It will grow to $27.32 billion in 2030 at a compound annual growth rate (CAGR) of 23.7%. The growth in the forecast period can be attributed to increasing demand for precision medicine solutions, rising investments in drug discovery analytics, expansion of cloud-based bioinformatics platforms, growing use of ai-driven biological insights, increasing reliance on data-driven clinical research. Major trends in the forecast period include increasing use of algorithm-driven biological modelling, rising adoption of in-silico drug discovery tools, growing integration of multi-omics data analysis, expansion of high-performance computing in biology, enhanced focus on predictive biological simulations.
The rising demand for personalized medicine is expected to drive the growth of the computational biology market. Personalized medicine, or precision medicine, tailors healthcare and treatment plans based on individual differences in genes, environment, and lifestyle. This approach relies on analyzing a patient’s genetic data to customize therapies. Computational biology is crucial in interpreting this genetic information, facilitating the development of targeted treatments, optimizing therapy regimens, and predicting outcomes. It also aids in patient stratification, lowers healthcare costs, and ensures alignment with clinical and regulatory standards. For example, in February 2024, the Personalized Medicine Coalition, a U.S.-based advocacy group, reported that the FDA approved 16 new personalized treatments for rare disease patients in 2023, up from six in 2022. As a result, the growing demand for personalized medicine is fueling the expansion of the computational biology market.
Major companies operating in the computational biology market are developing new solutions for proteomics research to gain a competitive edge in the market. Proteomics research is a field of scientific study focused on the comprehensive analysis of proteins in a biological system. For instance, in May 2023, Biognosys AG, a Switzerland-based biotechnology company launched Spectronaut 18 and unveiled significant scientific and technological enhancements for its exclusive proteomics research software and offerings. Spectronaut 18 offers high throughput and efficiency in data-independent acquisition (DIA) proteomics analysis. The company's TrueDiscovery platform accelerates biomarker discovery in fields like oncology and neuroscience by providing unparalleled depth and sensitivity in proteomics. TrueTarget enables high-resolution drug target identification and deconvolution, and Biognosys' iRT Kit, recommended for real-time system suitability monitoring, is now supported in combination with Bruker ProteoScape software.
In August 2023, Optibrium Ltd., a UK-based provider of software and AI solutions for drug discovery, acquired BioPharmics LLC for an undisclosed sum. This acquisition is intended to enhance Optibrium’s 3D ligand- and structure-based computational drug design capabilities by incorporating BioPharmics’ specialized algorithms and software tools. BioPharmics LLC, based in the U.S., offers solutions for 3D ligand- and structure-based computational drug design, including molecular docking, 2D-to-3D ligand conversion, conformer generation, molecular similarity analysis, and binding affinity prediction.
Major companies operating in the computational biology market are Certara L.P.; Chemical Computing Group Inc.; Compugen Ltd.; Genedata AG; Dassault Systèmes SE; Rosa & Co. LLC; Simulation Plus Inc.; Nimbus Discovery LLC; Rhenovia Pharma SAS; DNAnexus; Genialis Inc.; BC Platforms; Schrodinger Inc.; Strand Life Sciences; Numerate Inc.; Insitro; Recursion Pharmaceuticals; Atomwise; Relay Therapeutics; Exscientia.
North America was the largest region in the computational biology market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the computational biology market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the computational biology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the computational biology market by increasing costs of imported high-performance computing hardware, data storage systems, specialized processors, and laboratory informatics infrastructure. Research institutions and pharmaceutical companies in North America and Europe are most affected due to reliance on imported computing equipment, while Asia-Pacific faces higher costs for expanding computational research capacity. These tariffs are increasing project budgets and extending research timelines. However, they are also driving cloud-based adoption, regional data center investments, and optimization of software-driven biological analysis workflows.
The computational biology market research report is one of a series of new reports that provides computational biology market statistics, including computational biology industry global market size, regional shares, competitors with a computational biology market share, detailed computational biology market segments, market trends and opportunities, and any further data you may need to thrive in the computational biology industry. This computational biology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Computational biology refers to the field of science that teaches students how to use computer science, statistics, and mathematics to solve biological problems. A wide range of biological disciplines, including genomics/genetics, biophysics, cell biology, biochemistry, and evolution, are included in computational biology.
The main types of computational biology are in-house and contract. The in-house market consists of sales of computational biological solutions that are performed within a company. The firm uses its own employees and time to perform a business activity, such as financing or brokering. The various tools applied are databases, infrastructure (hardware), and analysis software and services that are used in applications such as cellular and biological simulation, drug discovery and disease modelling, and clinical trials. The industries that have adopted computational biology are research, the pharmaceutical industry, and commercial applications.
The computational biology market includes revenues earned by entities by providing biological notions rigor and verifiability, as well as by offering a framework that connects diverse insights. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The computational biology market size is expected to see exponential growth in the next few years. It will grow to $27.32 billion in 2030 at a compound annual growth rate (CAGR) of 23.7%. The growth in the forecast period can be attributed to increasing demand for precision medicine solutions, rising investments in drug discovery analytics, expansion of cloud-based bioinformatics platforms, growing use of ai-driven biological insights, increasing reliance on data-driven clinical research. Major trends in the forecast period include increasing use of algorithm-driven biological modelling, rising adoption of in-silico drug discovery tools, growing integration of multi-omics data analysis, expansion of high-performance computing in biology, enhanced focus on predictive biological simulations.
The rising demand for personalized medicine is expected to drive the growth of the computational biology market. Personalized medicine, or precision medicine, tailors healthcare and treatment plans based on individual differences in genes, environment, and lifestyle. This approach relies on analyzing a patient’s genetic data to customize therapies. Computational biology is crucial in interpreting this genetic information, facilitating the development of targeted treatments, optimizing therapy regimens, and predicting outcomes. It also aids in patient stratification, lowers healthcare costs, and ensures alignment with clinical and regulatory standards. For example, in February 2024, the Personalized Medicine Coalition, a U.S.-based advocacy group, reported that the FDA approved 16 new personalized treatments for rare disease patients in 2023, up from six in 2022. As a result, the growing demand for personalized medicine is fueling the expansion of the computational biology market.
Major companies operating in the computational biology market are developing new solutions for proteomics research to gain a competitive edge in the market. Proteomics research is a field of scientific study focused on the comprehensive analysis of proteins in a biological system. For instance, in May 2023, Biognosys AG, a Switzerland-based biotechnology company launched Spectronaut 18 and unveiled significant scientific and technological enhancements for its exclusive proteomics research software and offerings. Spectronaut 18 offers high throughput and efficiency in data-independent acquisition (DIA) proteomics analysis. The company's TrueDiscovery platform accelerates biomarker discovery in fields like oncology and neuroscience by providing unparalleled depth and sensitivity in proteomics. TrueTarget enables high-resolution drug target identification and deconvolution, and Biognosys' iRT Kit, recommended for real-time system suitability monitoring, is now supported in combination with Bruker ProteoScape software.
In August 2023, Optibrium Ltd., a UK-based provider of software and AI solutions for drug discovery, acquired BioPharmics LLC for an undisclosed sum. This acquisition is intended to enhance Optibrium’s 3D ligand- and structure-based computational drug design capabilities by incorporating BioPharmics’ specialized algorithms and software tools. BioPharmics LLC, based in the U.S., offers solutions for 3D ligand- and structure-based computational drug design, including molecular docking, 2D-to-3D ligand conversion, conformer generation, molecular similarity analysis, and binding affinity prediction.
Major companies operating in the computational biology market are Certara L.P.; Chemical Computing Group Inc.; Compugen Ltd.; Genedata AG; Dassault Systèmes SE; Rosa & Co. LLC; Simulation Plus Inc.; Nimbus Discovery LLC; Rhenovia Pharma SAS; DNAnexus; Genialis Inc.; BC Platforms; Schrodinger Inc.; Strand Life Sciences; Numerate Inc.; Insitro; Recursion Pharmaceuticals; Atomwise; Relay Therapeutics; Exscientia.
North America was the largest region in the computational biology market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the computational biology market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the computational biology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the computational biology market by increasing costs of imported high-performance computing hardware, data storage systems, specialized processors, and laboratory informatics infrastructure. Research institutions and pharmaceutical companies in North America and Europe are most affected due to reliance on imported computing equipment, while Asia-Pacific faces higher costs for expanding computational research capacity. These tariffs are increasing project budgets and extending research timelines. However, they are also driving cloud-based adoption, regional data center investments, and optimization of software-driven biological analysis workflows.
The computational biology market research report is one of a series of new reports that provides computational biology market statistics, including computational biology industry global market size, regional shares, competitors with a computational biology market share, detailed computational biology market segments, market trends and opportunities, and any further data you may need to thrive in the computational biology industry. This computational biology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Computational biology refers to the field of science that teaches students how to use computer science, statistics, and mathematics to solve biological problems. A wide range of biological disciplines, including genomics/genetics, biophysics, cell biology, biochemistry, and evolution, are included in computational biology.
The main types of computational biology are in-house and contract. The in-house market consists of sales of computational biological solutions that are performed within a company. The firm uses its own employees and time to perform a business activity, such as financing or brokering. The various tools applied are databases, infrastructure (hardware), and analysis software and services that are used in applications such as cellular and biological simulation, drug discovery and disease modelling, and clinical trials. The industries that have adopted computational biology are research, the pharmaceutical industry, and commercial applications.
The computational biology market includes revenues earned by entities by providing biological notions rigor and verifiability, as well as by offering a framework that connects diverse insights. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Computational Biology Market Characteristics
3. Computational Biology Market Supply Chain Analysis
4. Global Computational Biology Market Trends and Strategies
5. Computational Biology Market Analysis of End Use Industries
7. Global Computational Biology Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Computational Biology Total Addressable Market (TAM) Analysis for the Market
9. Computational Biology Market Segmentation
10. Computational Biology Market, Industry Metrics by Country
11. Computational Biology Market Regional and Country Analysis
12. Asia-Pacific Computational Biology Market
13. China Computational Biology Market
14. India Computational Biology Market
15. Japan Computational Biology Market
16. Australia Computational Biology Market
17. Indonesia Computational Biology Market
18. South Korea Computational Biology Market
19. Taiwan Computational Biology Market
20. South East Asia Computational Biology Market
21. Western Europe Computational Biology Market
22. UK Computational Biology Market
23. Germany Computational Biology Market
24. France Computational Biology Market
25. Italy Computational Biology Market
26. Spain Computational Biology Market
27. Eastern Europe Computational Biology Market
28. Russia Computational Biology Market
29. North America Computational Biology Market
30. USA Computational Biology Market
31. Canada Computational Biology Market
32. South America Computational Biology Market
33. Brazil Computational Biology Market
34. Middle East Computational Biology Market
35. Africa Computational Biology Market
37. Computational Biology Market Competitive Landscape and Company Profiles
38. Computational Biology Market Other Major and Innovative Companies
41. Computational Biology Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Computational Biology Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses computational biology market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
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- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for computational biology? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The computational biology market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Services: In-house; Contract2) By Tools: Databases; Infrastructure (Hardware); Analysis Software and Services
3) By Application: Cellular and Biological Simulation; Drug Discovery and Disease Modelling
4) By End User: Research; Pharmaceutical Industry; Commercial Applications
Subsegments:
1) By In-house: Data Analysis; Software Development; Research And Development2) By Contract: Outsourced Bioinformatics; Collaborative Research; Data Management Services
Companies Mentioned: Certara L.P.; Chemical Computing Group Inc.; Compugen Ltd.; Genedata AG; Dassault Systèmes SE; Rosa & Co. LLC; Simulation Plus Inc.; Nimbus Discovery LLC; Rhenovia Pharma SAS; DNAnexus; Genialis Inc.; BC Platforms; Schrodinger Inc.; Strand Life Sciences; Numerate Inc.; Insitro; Recursion Pharmaceuticals; Atomwise; Relay Therapeutics; Exscientia
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Computational Biology market report include:- Certara L.P.
- Chemical Computing Group Inc.
- Compugen Ltd.
- Genedata AG
- Dassault Systèmes SE
- Rosa & Co. LLC
- Simulation Plus Inc.
- Nimbus Discovery LLC
- Rhenovia Pharma SAS
- DNAnexus
- Genialis Inc.
- BC Platforms
- Schrodinger Inc.
- Strand Life Sciences
- Numerate Inc.
- Insitro
- Recursion Pharmaceuticals
- Atomwise
- Relay Therapeutics
- Exscientia
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 11.68 Billion |
| Forecasted Market Value ( USD | $ 27.32 Billion |
| Compound Annual Growth Rate | 23.7% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |
