Computational Biology Market by Services, Application, End-Use

List of Tables

The Computational Biology Market was valued at USD 6.25 billion in 2023, expected to reach USD 7.42 billion in 2024, and is projected to grow at a CAGR of 18.91%, to USD 21.01 billion by 2030.

Computational Biology is a multidisciplinary field that combines the power of biology, computer science, physics, and mathematics to simulate and model biological systems. Its scope includes genomics, proteomics, and systems biology, facilitating the management and analysis of the vast data generated through various biological research. The necessity of computational biology arises from its ability to accelerate drug discovery, personalize medicine, and enhance our understanding of complex biological processes. Its applications span across drug design, disease modeling, and agricultural biotechnology, influencing end-use sectors such as pharmaceuticals, healthcare, and agriculture. The market for computational biology is significantly driven by technological advancements, increasing investments in R&D, and a rise in the adoption of predictive modeling tools. However, potential growth opportunities lie in the expansion of bioinformatics in clinical diagnostics and cancer genomics due to increasing health concerns and the demand for personalized treatments. Companies should focus on developing integrated computational platforms and enhancing machine learning algorithms to boost discovery and predictive capabilities. Despite promising prospects, the market faces challenges such as high costs of tools and software, the complexity of biological systems, and data security concerns, which could slow down adoption rates. Overcoming these hurdles involves increasing cross-disciplinary collaborations, improving data integration methods, and investing in cost-effective solutions. Potential areas of innovation include advancements in synthetic biology, CRISPR technology, and artificial intelligence applications for genome editing and protein structure prediction. For business growth, staying ahead in these innovation fields could provide significant advantages. The nature of the computational biology market is competitive yet rapidly evolving, with players continually seeking breakthroughs to enhance precision and efficiency in biological research. Companies that address these challenges and leverage their innovations effectively are well-placed to capture significant market share.

KEY MARKET STATISTICS
Base Year [2023]	USD 6.25 billion
Estimated Year [2024]	USD 7.42 billion
Forecast Year [2030]	USD 21.01 billion
CAGR (%)	18.91%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Computational Biology Market

The Computational Biology Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Rising Need for Personalized Medicine
- Growing Bioinformatics Research and Increasing Number of Clinical Studies
- Adoption of Computational Biology in Oncology Therapeutics
Market Restraints
- Dearth of Skilled Professionals to Operate Computational Tools
Market Opportunities
- Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
- Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
Market Challenges
- Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards

Porter's Five Forces: A Strategic Tool for Navigating the Computational Biology Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Computational Biology Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Computational Biology Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Computational Biology Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Computational Biology Market

A detailed market share analysis in the Computational Biology Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Computational Biology Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Computational Biology Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Key Company Profiles

The report delves into recent significant developments in the Computational Biology Market, highlighting leading vendors and their innovative profiles. These include Thermo Fisher Scientific Inc., SOPHiA GENETICS, Eurofins Scientific SE, Chemical Computing Group Inc., Nimbus Discovery Llc, Simulation Plus Inc., Instem Group, Ocean Genomics, DNASTAR, Inc., Waters Corporation, DNAnexus, Inc., Rosa & Co. Llc, BGI Group, Dassault Systemes SE, Biomax Informatics AG, PerkinElmer, Inc., ProFound Therapeutics, Insilico Medicine, WuXi NextCODE, Genedata AG, Schrodinger, Inc., QIAGEN N.V., Agilent Technologies, Inc., Pluto Bioinformatics, Illumina, Inc., and Compugen Ltd..

Market Segmentation & Coverage

This research report categorizes the Computational Biology Market to forecast the revenues and analyze trends in each of the following sub-markets:

Based on Services, market is studied across Contract and In-house.
Based on Application, market is studied across Cellular Biological Simulation, Clinical Trials, Drug Discovery & Disease Modelling, Human Body Simulation Software, and Preclinical Drug Development.
Based on End-Use, market is studied across Academics and Commercial.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-433AB1DC289D

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising Need for Personalized Medicine
  - 5.1.1.2. Growing Bioinformatics Research and Increasing Number of Clinical Studies
  - 5.1.1.3. Adoption of Computational Biology in Oncology Therapeutics
- 5.1.2. Restraints
  - 5.1.2.1. Dearth of Skilled Professionals to Operate Computational Tools
- 5.1.3. Opportunities
  - 5.1.3.1. Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
  - 5.1.3.2. Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
- 5.1.4. Challenges
  - 5.1.4.1. Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards
5.2. Market Segmentation Analysis
- 5.2.1. Services: Benefits of in-house computational biology capabilities to handle sensitive data or proprietary research
- 5.2.2. Application: Significant applications of computational biology to streamline the drug development pipeline
- 5.2.3. End-Use: Growing adoption of computational biology in commercial entities to tackle applied research challenges
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental
5.5. Client Customization

6. Computational Biology Market, by Services

6.1. Introduction
6.2. Contract
6.3. In-house

7. Computational Biology Market, by Application

7.1. Introduction
7.2. Cellular Biological Simulation
7.3. Clinical Trials
7.4. Drug Discovery & Disease Modelling
7.5. Human Body Simulation Software
7.6. Preclinical Drug Development

8. Computational Biology Market, by End-Use

8.1. Introduction
8.2. Academics
8.3. Commercial

9. Americas Computational Biology Market

9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States

10. Asia-Pacific Computational Biology Market

10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam

11. Europe, Middle East & Africa Computational Biology Market

11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom

12. Competitive Landscape

12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
- 12.3.1. New Funds Available for Early Career Canadian Researchers Building Careers in Bioinformatics, Computational Biology, or Health Data Sciences
- 12.3.2. Pluto Announces USD 3.7M Seed Round, Led by Silverton Partners
- 12.3.3. Accenture Invests in Ocean Genomics to Accelerate AI-driven Drug Discovery and the Development of Personalized Medicines

Companies Mentioned

1. Thermo Fisher Scientific Inc.
2. SOPHiA GENETICS
3. Eurofins Scientific SE
4. Chemical Computing Group Inc.
5. Nimbus Discovery Llc
6. Simulation Plus Inc.
7. Instem Group
8. Ocean Genomics
9. DNASTAR, Inc.
10. Waters Corporation
11. DNAnexus, Inc.
12. Rosa & Co. Llc
13. BGI Group
14. Dassault Systemes SE
15. Biomax Informatics AG
16. PerkinElmer, Inc.
17. ProFound Therapeutics
18. Insilico Medicine
19. WuXi NextCODE
20. Genedata AG
21. Schrodinger, Inc.
22. QIAGEN N.V.
23. Agilent Technologies, Inc.
24. Pluto Bioinformatics
25. Illumina, Inc.
26. Compugen Ltd.