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Computational Biology Market Size, Share & Trends Analysis Report By Service (Database, Infrastructure & Hardware, Software Platform), By Application, By End-use, By Region, And Segment Forecasts, 2023 - 2030

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ksm 23.11.01

Computational Biology Market Growth & Trends:

The global computational biology market size is expected to reach a value of USD 13.25 billion by 2030, according to a new report by Grand View Research, Inc.., exhibiting a CAGR of 13.17%. The growing investments in research & development within the fields of cancer research, increasing demand for personalized medicines, and rising drug discovery & development are anticipated to contribute to the growth of the market. Moreover, the increasing advancements in the biotechnology industry and the adoption of artificial intelligence technology will further drive the market growth over the forecast period.

The growing adoption of advanced technology in gene analysis is propelling the growth of the market for computational biology. For instance, in January 2023, Qiagen Digital Insights (QDI) introduced an enhanced product designed for ultra-rapid next-generation sequencing (NGS) analysis. This innovative solution enables the processing of the entire genome within just 25 minutes, for USD 1 in cloud computing expenses. This is anticipated to empower researchers to efficiently analyze and interpret data from various sequencing approaches, including whole genome sequencing (WGS), whole exome sequencing (WES), and large panel sequencing. Hence, it is anticipated to impel market growth over the forecast period.

Furthermore, according to the article published by Cryptopolitan in September 2023, in a major advance development, scientists at Pohang University of Science and Technology (POSTECH) have shared their discoveries in the EBioMedicine journal, that they have used machine learning to estimate the chances of a new drug getting approved even before the clinical trials. This is expected to help in understanding the rate of drug failure at the time of clinical trials. Thus, the rising advancements in technology are anticipated to fuel the growth of the market over the forecast period.

However, the complexity of the biological systems and the lack of skilled professionals in the field are anticipated to hinder the growth of the market. Biological systems are incredibly complex, and accurately modeling their behavior can be challenging and requires the presence of skilled and trained professionals. Many biological processes involve complicated networks and interactions, which further add to the complexity of analysis and make computational predictions less reliable in some cases.

Computational Biology Market Report Highlights:

  • Based on service, the software & platform segment dominated the market with a share of 39.06% in 2022, and the same is anticipated to grow at the fastest CAGR over the forecast period. This can be attributed to the rising drug discovery & development and growing demand for personalized medicines
  • Based on application, the clinical trials segment dominated the market with a share of 26.84% in 2022. This was primarily due to an increase in the number of R&D initiatives in this field.
  • Based on end-use, the industrial segment held the largest market share of 62.10% in 2022. This can be attributed to the increasing research activities for drug discovery, target identification, virtual screening, and pharmacokinetic modeling, among other applications
  • In 2022, North America dominated the market with a share of 48.93%, owing to the presence of major market players, and robust healthcare infrastructure. These are anticipated to boost the market for computational biology in the region over the forecast period

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
    • 1.2.1. Service Segment
    • 1.2.2. Application Segment
    • 1.2.3. End-use Segment
  • 1.3. Research Assumptions
  • 1.4. Information Procurement
    • 1.4.1. Primary Research
  • 1.5. Information or Data Analysis
  • 1.6. Market Formulation & Validation
  • 1.7. Market Model
  • 1.8. Global Market: CAGR Calculation
  • 1.9. Objectives
    • 1.9.1. Objective 1
    • 1.9.2. Objective 2
    • 1.9.3. Objective 3

Chapter 2. Executive Summary

  • 2.1. Market Snapshot
  • 2.2. Segment Snapshot
  • 2.3. Competitive Landscape Snapshot

Chapter 3. Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent Market Outlook
    • 3.1.2. Related/Ancillary Market Outlook
  • 3.2. Market Trends and Outlook
  • 3.3. Market Dynamics
    • 3.3.1. Growing Adoption Of Bioinformatics Technology
    • 3.3.2. Advancements In Genomic Research
    • 3.3.3. Increasing Demand For Personalized Medicines
  • 3.4. Market Restraint Analysis
    • 3.4.1. Lack of Skilled Professional
    • 3.4.2. Data Privacy And Security Concerns
  • 3.5. Business Environment Analysis
    • 3.5.1. PESTEL Analysis
    • 3.5.2. Porter's Five Forces Analysis
    • 3.5.3. COVID-19 Impact Analysis

Chapter 4. Service Business Analysis

  • 4.1. Computational Biology Market: Service Movement Analysis
  • 4.2. Databases
    • 4.2.1. Databases Market, 2018 - 2030 (USD Million)
  • 4.3. Infrastructure & Hardware
    • 4.3.1. Infrastructure & Hardware, 2018 - 2030 (USD Million)
  • 4.4. Software Platform
    • 4.4.1. Software Platform Market, 2018 - 2030 (USD Million)

Chapter 5. Application Business Analysis

  • 5.1. Computational Biology Market: Application Movement Analysis
  • 5.2. Drug Discovery & Disease Modelling
    • 5.2.1. Drug Discovery & Disease Modelling Market, 2018 - 2030 (USD Million)
    • 5.2.2. Target Identification
      • 5.2.2.1. Target Identification Market, 2018 - 2030 (USD Million)
    • 5.2.3. Target Validation
      • 5.2.3.1. Target Validation Market, 2018 - 2030 (USD Million)
    • 5.2.4. Lead Discovery
      • 5.2.4.1. Lead Discovery Market, 2018 - 2030 (USD Million)
    • 5.2.5. Lead Optimization
      • 5.2.5.1. Lead Optimization Market, 2018 - 2030 (USD Million)
  • 5.3. Preclinical Drug Development
    • 5.3.1. Preclinical Drug Development Market, 2018 - 2030 (USD Million)
    • 5.3.2. Pharmacokinetics
      • 5.3.2.1. Pharmacokinetics Market, 2018 - 2030 (USD Million)
    • 5.3.3. Pharmacodynamics
      • 5.3.3.1. Pharmacodynamics Market, 2018 - 2030 (USD Million)
  • 5.4. Clinical Trials
    • 5.4.1. Clinical Trials Market, 2018 - 2030 (USD Million)
    • 5.4.2. Phase I
      • 5.4.2.1. Phase I Market, 2018 - 2030 (USD Million)
    • 5.4.3. Phase II
      • 5.4.3.1. Phase II Market, 2018 - 2030 (USD Million)
    • 5.4.4. Phase III
      • 5.4.4.1. Phase III Market, 2018 - 2030 (USD Million)
    • 5.4.5. Phase IV
      • 5.4.5.1. Phase IV Market, 2018 - 2030 (USD Million)
  • 5.5. Computational Genomics
    • 5.5.1. Computational Genomics Market, 2018 - 2030 (USD Million)
  • 5.6. Computational Proteomics
    • 5.6.1. Computational Proteomics Market, 2018 - 2030 (USD Million)
  • 5.7. Others
    • 5.7.1. Others Market, 2018 - 2030 (USD Million)

Chapter 6. End-use Business Analysis

  • 6.1. Computational Biology Market: End-use Movement Analysis
  • 6.2. Academic & Research
    • 6.2.1. Academic & Research Market, 2018 - 2030 (USD Million)
  • 6.3. Industrial
    • 6.3.1. Industrial Market, 2018 - 2030 (USD Million)

Chapter 7. Regional Business Analysis

  • 7.1. Regional Market Snapshot
  • 7.2. North America
    • 7.2.1. North America Computational Biology Market, 2018 - 2030 (USD Million)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.2.2.2. Key Country Dynamics
      • 7.2.2.3. Competitive Scenario
    • 7.2.3. Canada
      • 7.2.3.1. Canada Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.2.3.2. Key Country Dynamics
      • 7.2.3.3. Competitive Scenario
  • 7.3. Europe
    • 7.3.1. Europe Computational Biology Market, 2018 - 2030 (USD Million)
    • 7.3.2. UK
      • 7.3.2.1. UK Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.2.2. Key Country Dynamics
      • 7.3.2.3. Competitive Scenario
    • 7.3.3. Germany
      • 7.3.3.1. Germany Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.3.2. Key Country Dynamics
      • 7.3.3.3. Competitive Scenario
    • 7.3.4. Spain
      • 7.3.4.1. Spain Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.4.2. Key Country Dynamics
      • 7.3.4.3. Competitive Scenario
    • 7.3.5. France
      • 7.3.5.1. France Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.5.2. Key Country Dynamics
      • 7.3.5.3. Competitive Scenario
    • 7.3.6. Italy
      • 7.3.6.1. Italy Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.6.2. Key Country Dynamics
      • 7.3.6.3. Competitive Scenario
    • 7.3.7. Denmark
      • 7.3.7.1. Denmark Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.7.2. Key Country Dynamics
      • 7.3.7.3. Competitive Scenario
    • 7.3.8. Sweden
      • 7.3.8.1. Sweden Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.8.2. Key Country Dynamics
      • 7.3.8.3. Competitive Scenario
    • 7.3.9. Norway
      • 7.3.9.1. Norway Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.3.9.2. Key Country Dynamics
      • 7.3.9.3. Competitive Scenario
  • 7.4. Asia Pacific
    • 7.4.1. Asia-Pacific Computational Biology Market, 2018 - 2030 (USD Million)
    • 7.4.2. Japan
      • 7.4.2.1. Japan Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.4.2.2. Key Country Dynamics
      • 7.4.2.3. Competitive Scenario
    • 7.4.3. China
      • 7.4.3.1. China Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.4.3.2. Key Country Dynamics
      • 7.4.3.3. Competitive Scenario
    • 7.4.4. India
      • 7.4.4.1. India Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.4.4.2. Key Country Dynamics
      • 7.4.4.3. Competitive Scenario
    • 7.4.5. South Korea
      • 7.4.5.1. South Korea Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.4.5.2. Key Country Dynamics
      • 7.4.5.3. Competitive Scenario
    • 7.4.6. Thailand
      • 7.4.6.1. Thailand Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.4.6.2. Key Country Dynamics
      • 7.4.6.3. Competitive Scenario
    • 7.4.7. Australia
      • 7.4.7.1. Australia Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.4.7.2. Key Country Dynamics
      • 7.4.7.3. Competitive Scenario
  • 7.5. Latin America
    • 7.5.1. Latin America Computational Biology Market, 2018 - 2030 (USD Million)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.5.2.2. Key Country Dynamics
      • 7.5.2.3. Competitive Scenario
    • 7.5.3. Mexico
      • 7.5.3.1. Mexico Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.5.3.2. Key Country Dynamics
      • 7.5.3.3. Competitive Scenario
    • 7.5.4. Argentina
      • 7.5.4.1. Argentina Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.5.4.2. Key Country Dynamics
      • 7.5.4.3. Competitive Scenario
  • 7.6. MEA
    • 7.6.1. MEA Computational Biology Market, 2018 - 2030 (USD Million)
    • 7.6.2. South Africa
      • 7.6.2.1. South Africa Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.6.2.2. Key Country Dynamics
      • 7.6.2.3. Competitive Scenario
    • 7.6.3. Saudi Arabia
      • 7.6.3.1. Saudi Arabia Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.6.3.2. Key Country Dynamics
      • 7.6.3.3. Competitive Scenario
    • 7.6.4. UAE
      • 7.6.4.1. UAE Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.6.4.2. Key Country Dynamics
      • 7.6.4.3. Competitive Scenario
    • 7.6.5. Kuwait
      • 7.6.5.1. Kuwait Computational Biology Market, 2018 - 2030 (USD Million)
      • 7.6.5.2. Key Country Dynamics
      • 7.6.5.3. Competitive Scenario

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization
  • 8.2. Strategy Mapping
  • 8.3. Company Market Share/Position Analysis, 2022
  • 8.4. Company Profiles/Listing
    • 8.4.1. DNAnexus, Inc.
      • 8.4.1.1. Company Overview
      • 8.4.1.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.1.3. Product Benchmarking
      • 8.4.1.4. Strategic Initiatives
    • 8.4.2. Illumina, Inc.
      • 8.4.2.1. Company Overview
      • 8.4.2.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.2.3. Product Benchmarking
      • 8.4.2.4. Strategic Initiatives
    • 8.4.3. Thermo Fisher Scientific, Inc.
      • 8.4.3.1. Company Overview
      • 8.4.3.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.3.3. Product Benchmarking
      • 8.4.3.4. Strategic Initiatives
    • 8.4.4. Schrodinger, Inc.
      • 8.4.4.1. Company Overview
      • 8.4.4.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.4.3. Product Benchmarking
      • 8.4.4.4. Strategic Initiatives
    • 8.4.5. Compugen
      • 8.4.5.1. Company Overview
      • 8.4.5.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.5.3. Product Benchmarking
      • 8.4.5.4. Strategic Initiatives
    • 8.4.6. Aganitha AI Inc.
      • 8.4.6.1. Company Overview
      • 8.4.6.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.6.3. Product Benchmarking
      • 8.4.6.4. Strategic Initiatives
    • 8.4.7. Genedata AG
      • 8.4.7.1. Company Overview
      • 8.4.7.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.7.3. Product Benchmarking
      • 8.4.7.4. Strategic Initiatives
    • 8.4.8. QIAGEN
      • 8.4.8.1. Company Overview
      • 8.4.8.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.8.3. Product Benchmarking
      • 8.4.8.4. Strategic Initiatives
    • 8.4.9. SIMULATIONS PLUS
      • 8.4.9.1. Company Overview
      • 8.4.9.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.9.3. Product Benchmarking
      • 8.4.9.4. Strategic Initiatives
    • 8.4.10. Fios Genomics
      • 8.4.10.1. Company Overview
      • 8.4.10.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
      • 8.4.10.3. Product Benchmarking
      • 8.4.10.4. Strategic Initiatives
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