Global Computational Biology 麻豆原创 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR072406043

Publication Date:

July 9, 2024

Pages:

104

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global Computational Biology market size was valued at USD 2256.9 million in 2023 and is forecast to a readjusted size of USD 4569.5 million by 2030 with a CAGR of 10.6% during review period.
Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, ecological, behavioral and social systems.
Computational biology is different from biological computing, which is a subfield of computer science and computer engineering using bioengineering and biology to build computers, but is similar to bioinformatics, which is an interdisciplinary science using computers to store and process biological data.
This report includes an overview of the development of the Computational Biology industry chain, the market status of Cellular & Biological Simulation (In-House, Contract), Pharmacogenomics (In-House, Contract), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Computational Biology.
Regionally, the report analyzes the Computational Biology markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Computational Biology market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Computational Biology market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Computational Biology industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., In-House, Contract).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Computational Biology market.
Regional Analysis: The report involves examining the Computational Biology market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Computational Biology market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Computational Biology:
Company Analysis: Report covers individual Computational Biology players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Computational Biology This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Cellular & Biological Simulation, Pharmacogenomics).
Technology Analysis: Report covers specific technologies relevant to Computational Biology. It assesses the current state, advancements, and potential future developments in Computational Biology areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Computational Biology market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Computational Biology market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
In-House
Contract
麻豆原创 segment by Application
Cellular & Biological Simulation
Pharmacogenomics
Drug Discovery
Drug Development
Lead Optimization
Lead Discovery
Pharmacokinetics
Disease Modeling
Clinical Trials
麻豆原创 segment by players, this report covers
Chemical Computing
Accelrys
Certara
Compugen
Entelos
Insilico Biotechnology
Genedata
Leadscope
Simulation Plus
Schrodinger
Rhenovia Pharma
Nimbus Discovery
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Computational Biology product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Computational Biology, with revenue, gross margin and global market share of Computational Biology from 2019 to 2024.
Chapter 3, the Computational Biology competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Computational Biology market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Computational Biology.
Chapter 13, to describe Computational Biology research findings and conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope of Computational Biology
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Computational Biology by Type
1.3.1 Overview: Global Computational Biology 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Computational Biology Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 In-House
1.3.4 Contract
1.4 Global Computational Biology 麻豆原创 by Application
1.4.1 Overview: Global Computational Biology 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Cellular & Biological Simulation
1.4.3 Pharmacogenomics
1.4.4 Drug Discovery
1.4.5 Drug Development
1.4.6 Lead Optimization
1.4.7 Lead Discovery
1.4.8 Pharmacokinetics
1.4.9 Disease Modeling
1.4.10 Clinical Trials
1.5 Global Computational Biology 麻豆原创 Size & Forecast
1.6 Global Computational Biology 麻豆原创 Size and Forecast by Region
1.6.1 Global Computational Biology 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Computational Biology 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Computational Biology 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Computational Biology 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Computational Biology 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Computational Biology 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Computational Biology 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 Chemical Computing
2.1.1 Chemical Computing Details
2.1.2 Chemical Computing Major Business
2.1.3 Chemical Computing Computational Biology Product and Solutions
2.1.4 Chemical Computing Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Chemical Computing Recent Developments and Future Plans
2.2 Accelrys
2.2.1 Accelrys Details
2.2.2 Accelrys Major Business
2.2.3 Accelrys Computational Biology Product and Solutions
2.2.4 Accelrys Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Accelrys Recent Developments and Future Plans
2.3 Certara
2.3.1 Certara Details
2.3.2 Certara Major Business
2.3.3 Certara Computational Biology Product and Solutions
2.3.4 Certara Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Certara Recent Developments and Future Plans
2.4 Compugen
2.4.1 Compugen Details
2.4.2 Compugen Major Business
2.4.3 Compugen Computational Biology Product and Solutions
2.4.4 Compugen Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Compugen Recent Developments and Future Plans
2.5 Entelos
2.5.1 Entelos Details
2.5.2 Entelos Major Business
2.5.3 Entelos Computational Biology Product and Solutions
2.5.4 Entelos Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Entelos Recent Developments and Future Plans
2.6 Insilico Biotechnology
2.6.1 Insilico Biotechnology Details
2.6.2 Insilico Biotechnology Major Business
2.6.3 Insilico Biotechnology Computational Biology Product and Solutions
2.6.4 Insilico Biotechnology Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Insilico Biotechnology Recent Developments and Future Plans
2.7 Genedata
2.7.1 Genedata Details
2.7.2 Genedata Major Business
2.7.3 Genedata Computational Biology Product and Solutions
2.7.4 Genedata Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Genedata Recent Developments and Future Plans
2.8 Leadscope
2.8.1 Leadscope Details
2.8.2 Leadscope Major Business
2.8.3 Leadscope Computational Biology Product and Solutions
2.8.4 Leadscope Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Leadscope Recent Developments and Future Plans
2.9 Simulation Plus
2.9.1 Simulation Plus Details
2.9.2 Simulation Plus Major Business
2.9.3 Simulation Plus Computational Biology Product and Solutions
2.9.4 Simulation Plus Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Simulation Plus Recent Developments and Future Plans
2.10 Schrodinger
2.10.1 Schrodinger Details
2.10.2 Schrodinger Major Business
2.10.3 Schrodinger Computational Biology Product and Solutions
2.10.4 Schrodinger Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Schrodinger Recent Developments and Future Plans
2.11 Rhenovia Pharma
2.11.1 Rhenovia Pharma Details
2.11.2 Rhenovia Pharma Major Business
2.11.3 Rhenovia Pharma Computational Biology Product and Solutions
2.11.4 Rhenovia Pharma Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Rhenovia Pharma Recent Developments and Future Plans
2.12 Nimbus Discovery
2.12.1 Nimbus Discovery Details
2.12.2 Nimbus Discovery Major Business
2.12.3 Nimbus Discovery Computational Biology Product and Solutions
2.12.4 Nimbus Discovery Computational Biology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.12.5 Nimbus Discovery Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Computational Biology Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Computational Biology by Company Revenue
3.2.2 Top 3 Computational Biology Players 麻豆原创 Share in 2023
3.2.3 Top 6 Computational Biology Players 麻豆原创 Share in 2023
3.3 Computational Biology 麻豆原创: Overall Company Footprint Analysis
3.3.1 Computational Biology 麻豆原创: Region Footprint
3.3.2 Computational Biology 麻豆原创: Company Product Type Footprint
3.3.3 Computational Biology 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Computational Biology Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Computational Biology 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Computational Biology Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Computational Biology 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Computational Biology Consumption Value by Type (2019-2030)
6.2 North America Computational Biology Consumption Value by Application (2019-2030)
6.3 North America Computational Biology 麻豆原创 Size by Country
6.3.1 North America Computational Biology Consumption Value by Country (2019-2030)
6.3.2 United States Computational Biology 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Computational Biology 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Computational Biology 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Computational Biology Consumption Value by Type (2019-2030)
7.2 Europe Computational Biology Consumption Value by Application (2019-2030)
7.3 Europe Computational Biology 麻豆原创 Size by Country
7.3.1 Europe Computational Biology Consumption Value by Country (2019-2030)
7.3.2 Germany Computational Biology 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Computational Biology 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Computational Biology 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Computational Biology 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Computational Biology 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Computational Biology Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Computational Biology Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Computational Biology 麻豆原创 Size by Region
8.3.1 Asia-Pacific Computational Biology Consumption Value by Region (2019-2030)
8.3.2 China Computational Biology 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Computational Biology 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Computational Biology 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Computational Biology 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Computational Biology 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Computational Biology 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Computational Biology Consumption Value by Type (2019-2030)
9.2 South America Computational Biology Consumption Value by Application (2019-2030)
9.3 South America Computational Biology 麻豆原创 Size by Country
9.3.1 South America Computational Biology Consumption Value by Country (2019-2030)
9.3.2 Brazil Computational Biology 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Computational Biology 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Computational Biology Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Computational Biology Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Computational Biology 麻豆原创 Size by Country
10.3.1 Middle East & Africa Computational Biology Consumption Value by Country (2019-2030)
10.3.2 Turkey Computational Biology 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Computational Biology 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Computational Biology 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Computational Biology 麻豆原创 Drivers
11.2 Computational Biology 麻豆原创 Restraints
11.3 Computational Biology Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Computational Biology Industry Chain
12.2 Computational Biology Upstream Analysis
12.3 Computational Biology Midstream Analysis
12.4 Computational Biology Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

Chemical Computing
Accelrys
Certara
Compugen
Entelos
Insilico Biotechnology
Genedata
Leadscope
Simulation Plus
Schrodinger
Rhenovia Pharma
Nimbus Discovery

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