Insights on the Computational Biology Global Market to 2026 - Rising R&D for Drug Discovery Presents Opportunities -

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DUBLIN, September 16, 2021--(BUSINESS WIRE)--The "Computational Biology Market Research Report by Services, by End User, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to's offering.

The Global Computational Biology Market size was estimated at USD 3,212.05 Million in 2020 and expected to reach USD 3,813.09 Million in 2021, at a Compound Annual Growth Rate (CAGR) 18.80% to reach USD 9,031.58 Million by 2026.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Computational Biology Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Computational Biology Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Computational Biology Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Computational Biology Market?

4. What is the competitive strategic window for opportunities in the Global Computational Biology Market?

5. What are the technology trends and regulatory frameworks in the Global Computational Biology Market?

6. What is the market share of the leading vendors in the Global Computational Biology Market?

7. What modes and strategic moves are considered suitable for entering the Global Computational Biology Market?

Market Dynamics


  • Increased Unmet Medical Needs and Rising Demand for Personalized Medicine

  • Expanding use of Computational Tools in Genomics, Epi-genomics, Proteomics, and Meta-genomics

  • Growing Bioinformatics Research and Growing Number of Clinical Studies

  • Adoption of Computational Biology in Oncology Therapeutics


  • Dearth of Skilled Professionals to operate Computational Tools


  • Accelerating use of Bioinformatics and Multiscale Biological Modeling in Cell Modelling

  • Increased Funding in Bioinformatics coupled with Advancements in the Field of Computational Biology

  • Rising R&D for drug discovery


  • Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards and Common Data Formats for the Integration of Data

Companies Mentioned

  • Agilent Technologies, Inc.

  • Applied Biological Materials, Inc.

  • BGI Group

  • Biomax Informatics AG

  • Chemical Computing Group Inc.

  • Compugen Ltd

  • Dassault Systemes

  • DNAnexus, Inc.


  • Eurofins Scientific

  • Gene Network Sciences

  • Genedata AG

  • Genomatix

  • Illumina, Inc.

  • Insilico Biotechnology AG

  • Instem

  • Luminex Corporation

  • Nimbus Discovery Llc

  • Partek, Inc.

  • PerkinElmer, Inc.


  • Rosa & Co. Llc

  • Schrodinger

  • Simulation Plus Inc


  • Thermo Fisher Scientific

  • Waters Corporation

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