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Computational Biology Trends and Forecast
The future of the global computational biology market looks promising with opportunities in the academic & research and commercial sectors. The global computational biology market is expected to reach an estimated $12.8 billion by 2030 with a CAGR of 13.4% from 2024 to 2030. The major drivers for this market are expanding use of AI-based technology in drug discovery and growing interest in drug design and disease modeling.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Computational Biology by Segment
The study includes a forecast for the global computational biology by service, application, end use industry, and region.

Computational Biology Market by Service [Shipment Analysis by Value from 2018 to 2030]:
• Contract
• In-House









Computational Biology Market by Application [Shipment Analysis by Value from 2018 to 2030]:
• Cellular & Biological Simulation
• Drug Discovery & Disease Modelling
• Preclinical Drug Development
• Clinical Trials
• Human Body Simulation Software
• Others





Computational Biology Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:
• Academics & Research
• Commercial
• Others




















Computational Biology Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Computational Biology Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies computational biology companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the computational biology companies profiled in this report include-
• Genedata
• Rhenovia Pharma
• Compugen
• Chemical Computing
• Certara
• Nimbus Discovery
• Rhenovia Pharma & Leadscope
• Simulation Plus
• Entelos
• Insilico Biotechnology


Computational Biology Market Insights
Lucintel forecasts that cellular & biological simulation is expected to witness highest growth over the forecast period.
Within this market, commercial is expected to witness higher growth over the forecast period due to increasing public and private sector spending on research and development in genetic engineering and the development of new drugs.
North America will remain the largest region due to existence of robust healthcare infrastructure, growing cases of chronic disease, and presence of key players in the region.

Features of the Global Computational Biology Market

Market Size Estimates: Computational biology market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Computational biology market size by service, application, end use industry, and region in terms of value ($B).
Regional Analysis: Computational biology market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different services, applications, end use industries, and regions for the computational biology market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the computational biology market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q.1 What is the computational biology market size?
Answer: The global computational biology market is expected to reach an estimated $12.8 billion by 2030.

Q.2 What is the growth forecast for computational biology market?
Answer: The global computational biology market is expected to grow with a CAGR of 13.4% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the computational biology market?
Answer: The major drivers for this market are expanding use of AI-based technology in drug discovery and growing interest in drug design and disease modeling.

Q4. What are the major segments for computational biology market?
Answer: The future of the computational biology market looks promising with opportunities in the academic & research and commercial sectors.

Q5. Who are the key computational biology market companies?
Answer: Some of the key computational biology companies are as follows:
• Genedata
• Rhenovia Pharma
• Compugen
• Chemical Computing
• Certara
• Nimbus Discovery
• Rhenovia Pharma & Leadscope
• Simulation Plus
• Entelos
• Insilico Biotechnology



Q6. Which computational biology market segment will be the largest in future?
Answer: Lucintel forecasts that cellular & biological simulation is expected to witness highest growth over the forecast period.

Q7. In computational biology market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to existence of robust healthcare infrastructure, growing cases of chronic disease, and presence of key players in the region.

Q.8 Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the computational biology market by service (contract and in-house), application (cellular & biological simulation, drug discovery & disease modelling, preclinical drug development, clinical trials, human body simulation software, and others), end use industry (academics & research, commercial, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to Computational Biology Market, Computational Biology Market Size, Computational Biology Market Growth, Computational Biology Market Analysis, Computational Biology Market Report, Computational Biology Market Share, Computational Biology Market Trends, Computational Biology Market Forecast, Computational Biology Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary

2. Global Computational Biology Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 

3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Computational Biology Market Trends (2018-2023) and Forecast (2024-2030)

3.3: Global Computational Biology Market by Service
3.3.1: Contract
3.3.2: In-house








3.4: Global Computational Biology Market by Application
3.4.1: Cellular & Biological Simulation
3.4.2: Drug Discovery & Disease Modelling
3.4.3: Preclinical Drug Development
3.4.4: Clinical Trials
3.4.5: Human Body Simulation Software
3.4.6: Others




3.5: Global Computational Biology Market by End Use Industry
3.5.1: Academics & Research
3.5.2: Commercial
3.5.3: Others

















4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Computational Biology Market by Region
4.2: North American Computational Biology Market
4.2.1: North American Computational Biology Market by Application: Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Preclinical Drug Development, Clinical Trials, Human Body Simulation Software, and Others
4.2.2: North American Computational Biology Market by End Use Industry: Academics & Research, Commercial, and Others


4.3: European Computational Biology Market

4.3.1: European Computational Biology Market by Application: Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Preclinical Drug Development, Clinical Trials, Human Body Simulation Software, and Others
4.3.2: European Computational Biology Market by End Use Industry: Academics & Research, Commercial, and Others


4.4: APAC Computational Biology Market

4.4.1: APAC Computational Biology Market by Application: Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Preclinical Drug Development, Clinical Trials, Human Body Simulation Software, and Others
4.4.2: APAC Computational Biology Market by End Use Industry: Academics & Research, Commercial, and Others


4.5: ROW Computational Biology Market

4.5.1: ROW Computational Biology Market by Application: Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Preclinical Drug Development, Clinical Trials, Human Body Simulation Software, and Others
4.5.2: ROW Computational Biology Market by End Use Industry: Academics & Research, Commercial, and Others


5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis

6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Computational Biology Market by Service
6.1.2: Growth Opportunities for the Global Computational Biology Market by Application
6.1.3: Growth Opportunities for the Global Computational Biology Market by End Use Industry

6.1.4: Growth Opportunities for the Global Computational Biology Market by Region

6.2: Emerging Trends in the Global Computational Biology Market

6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Computational Biology Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Computational Biology Market
6.3.4: Certification and Licensing

7. Company Profiles of Leading Players
7.1: Genedata
7.2: Rhenovia Pharma
7.3: Compugen
7.4: Chemical Computing
7.5: Certara
7.6: Nimbus Discovery
7.7: Rhenovia Pharma & Leadscope
7.8: Simulation Plus
7.9: Entelos
7.10: Insilico Biotechnology
.

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150 - page report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.

Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.

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