The Global Computational Biology Market was valued at USD 7.1 billion in 2024 and is estimated to grow at a CAGR of 12.3% to reach USD 22.7 billion by 2034.
The growing integration of computational models in clinical research, the rising cost and complexity of drug development, and ongoing advancements in bioinformatics and artificial intelligence are fueling this growth. Increasing omics data volume, supportive government policies, and expanding applications of AI-driven analytics are accelerating the adoption of computational biology solutions. Traditional drug discovery remains time-intensive and costly, often taking over a decade, which has pushed pharmaceutical companies to embrace computational tools that streamline R&D, reduce experimental failures, and identify promising therapeutic candidates early in the process. These technologies support biological simulations, drug-target interaction modeling, and data-driven insights from omics research, significantly cutting down laboratory time and improving clinical trial outcomes. The mounting pressure on the pharmaceutical industry to develop effective therapies faster and at a lower cost continues to propel the computational biology landscape forward. Moreover, its growing influence on clinical trial design, patient stratification, and biomarker discovery is transforming the way therapies are developed and validated.
The analysis software and services segment held a 41.7% share in 2024. The demand for these solutions is surging due to the rapid expansion of omics data, the growing necessity for complex modeling platforms, and the increasing dependence on AI-enabled insights across drug discovery and precision medicine. With the continuous rise in omics-based research, the adoption of advanced analytical and modeling tools is accelerating, enabling faster and more precise biological interpretations that are vital for pharmaceutical R&D, clinical testing, and tailored treatment development.
The preclinical drug development segment was valued at USD 1.1 billion in 2024 and is witnessing consistent utilization of computational biology to simulate pharmacokinetic, pharmacodynamic, and toxicity characteristics of drug candidates before human testing. These tools can anticipate a drug’s behavior in biological systems, helping minimize the use of animal models in preclinical studies and improving the likelihood of progressing to clinical trials successfully.
United States Computational Biology Market reached USD 3.2 billion in 2024. The country’s strong focus on accelerating drug development through the adoption of cutting-edge computational methods continues to drive market expansion. The U.S. remains a dominant force due to its robust biotechnology ecosystem, advanced research capabilities, and strong collaboration between government, academia, and the private sector. Major technology and pharmaceutical players are heavily investing in AI-led drug discovery, genomics, and precision medicine.
Leading companies operating within the Global Computational Biology Market include BIO-RAD, Schrödinger, Thermo Fisher SCIENTIFIC, DNAnexus, Illumina, Dassault SYSTEMES, Compugen, QIAGEN, GINKGO, Instem, FIos GENOMICS, Strand, Aganitha, Benevolent, Deep Genomics, Certara, Cadence, BIODIGITAL, Atomwise, and Genedata (Danaher). To strengthen their foothold, companies in the Computational Biology Market are focusing on product innovation, AI integration, and strategic partnerships. Many are investing in R&D to enhance simulation accuracy, expand omics data analytics capabilities, and improve the interoperability of bioinformatics platforms. Collaborations between biotech firms, academic institutions, and software developers are fostering the development of robust computational models tailored for drug discovery and personalized medicine. Firms are also pursuing mergers and acquisitions to broaden their technology portfolios and geographic presence.
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The growing integration of computational models in clinical research, the rising cost and complexity of drug development, and ongoing advancements in bioinformatics and artificial intelligence are fueling this growth. Increasing omics data volume, supportive government policies, and expanding applications of AI-driven analytics are accelerating the adoption of computational biology solutions. Traditional drug discovery remains time-intensive and costly, often taking over a decade, which has pushed pharmaceutical companies to embrace computational tools that streamline R&D, reduce experimental failures, and identify promising therapeutic candidates early in the process. These technologies support biological simulations, drug-target interaction modeling, and data-driven insights from omics research, significantly cutting down laboratory time and improving clinical trial outcomes. The mounting pressure on the pharmaceutical industry to develop effective therapies faster and at a lower cost continues to propel the computational biology landscape forward. Moreover, its growing influence on clinical trial design, patient stratification, and biomarker discovery is transforming the way therapies are developed and validated.
The analysis software and services segment held a 41.7% share in 2024. The demand for these solutions is surging due to the rapid expansion of omics data, the growing necessity for complex modeling platforms, and the increasing dependence on AI-enabled insights across drug discovery and precision medicine. With the continuous rise in omics-based research, the adoption of advanced analytical and modeling tools is accelerating, enabling faster and more precise biological interpretations that are vital for pharmaceutical R&D, clinical testing, and tailored treatment development.
The preclinical drug development segment was valued at USD 1.1 billion in 2024 and is witnessing consistent utilization of computational biology to simulate pharmacokinetic, pharmacodynamic, and toxicity characteristics of drug candidates before human testing. These tools can anticipate a drug’s behavior in biological systems, helping minimize the use of animal models in preclinical studies and improving the likelihood of progressing to clinical trials successfully.
United States Computational Biology Market reached USD 3.2 billion in 2024. The country’s strong focus on accelerating drug development through the adoption of cutting-edge computational methods continues to drive market expansion. The U.S. remains a dominant force due to its robust biotechnology ecosystem, advanced research capabilities, and strong collaboration between government, academia, and the private sector. Major technology and pharmaceutical players are heavily investing in AI-led drug discovery, genomics, and precision medicine.
Leading companies operating within the Global Computational Biology Market include BIO-RAD, Schrödinger, Thermo Fisher SCIENTIFIC, DNAnexus, Illumina, Dassault SYSTEMES, Compugen, QIAGEN, GINKGO, Instem, FIos GENOMICS, Strand, Aganitha, Benevolent, Deep Genomics, Certara, Cadence, BIODIGITAL, Atomwise, and Genedata (Danaher). To strengthen their foothold, companies in the Computational Biology Market are focusing on product innovation, AI integration, and strategic partnerships. Many are investing in R&D to enhance simulation accuracy, expand omics data analytics capabilities, and improve the interoperability of bioinformatics platforms. Collaborations between biotech firms, academic institutions, and software developers are fostering the development of robust computational models tailored for drug discovery and personalized medicine. Firms are also pursuing mergers and acquisitions to broaden their technology portfolios and geographic presence.
Comprehensive Market Analysis and Forecast
- Industry trends, key growth drivers, challenges, future opportunities, and regulatory landscape
- Competitive landscape with Porter’s Five Forces and PESTEL analysis
- Market size, segmentation, and regional forecasts
- In-depth company profiles, business strategies, financial insights, and SWOT analysis
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Table of Contents
Chapter 1 Methodology and Scope
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2024
Chapter 5 Market Estimates and Forecast, by Tool, 2021-2034 ($ Mn)
Chapter 6 Market Estimates and Forecast, by Application, 2021-2034 ($ Mn)
Chapter 7 Market Estimates and Forecast, by Services, 2021-2034 ($ Mn)
Chapter 8 Market Estimates and Forecast, by End Use, 2021-2034 ($ Mn)
Chapter 9 Market Estimates and Forecast, by Region, 2021-2034 ($ Mn)
Chapter 10 Company Profiles
Companies Mentioned
The companies profiled in this Computational Biology market report include:- Aganitha
- Atomwise
- Benevolent AI
- BIODIGITAL
- BIO-RAD
- Cadence
- CERTARA
- Compugen
- DASSAULT SYSTEMES
- Deep genomics
- DNAnexus
- Fios GENOMICS
- Genedata (Danaher)
- GINKGO
- Illumina
- Instem
- QIAGEN
- Schrödinger
- Strand
- Thermo Fisher SCIENTIFIC
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 140 |
| Published | October 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 7.1 Billion |
| Forecasted Market Value ( USD | $ 22.7 Billion |
| Compound Annual Growth Rate | 12.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |
