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.
Âé¶¹Ô´´ Analysis and Insights: Global Computational Biology Software Âé¶¹Ô´´
The global Computational Biology Software market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Computational Biology Software is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Computational Biology Software is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Computational Biology Software is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Computational Biology Software include Chemical Computing Group, Accelrys, Compugen, Entelos, Insilico Biotechnology, Genedata, Leadscope and Simulation Plus, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Computational Biology Software is widely used in various fields, such as Cellular and Biological Simulation, Drug Discovery and Disease Modelling, Preclinical Drug Development and Clinical Trials, etc. Cellular and Biological Simulation provides greatest supports to the Computational Biology Software industry development. In 2023, global % revenue of Computational Biology Software went into Cellular and Biological Simulation filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Computational Biology Software market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Computational Biology Software, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Computational Biology Software, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Computational Biology Software revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Computational Biology Software market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Computational Biology Software revenue, projected growth trends, production technology, application and end-user industry.
Âé¶¹Ô´´ Segmentation
By Company
Chemical Computing Group
Accelrys
Compugen
Entelos
Insilico Biotechnology
Genedata
Leadscope
Simulation Plus
Segment by Type
Cloud Based
On-Premise
Segment by Application
Cellular and Biological Simulation
Drug Discovery and Disease Modelling
Preclinical Drug Development
Clinical Trials
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Computational Biology Software in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Computational Biology Software companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Computational Biology Software revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global Computational Biology Software Âé¶¹Ô´´ Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global Computational Biology Software Âé¶¹Ô´´ Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Cellular and Biological Simulation
1.3.3 Drug Discovery and Disease Modelling
1.3.4 Preclinical Drug Development
1.3.5 Clinical Trials
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computational Biology Software Âé¶¹Ô´´ Perspective (2019-2030)
2.2 Global Computational Biology Software Growth Trends by Region
2.2.1 Computational Biology Software Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
2.2.2 Computational Biology Software Historic Âé¶¹Ô´´ Size by Region (2019-2024)
2.2.3 Computational Biology Software Forecasted Âé¶¹Ô´´ Size by Region (2025-2030)
2.3 Computational Biology Software Âé¶¹Ô´´ Dynamics
2.3.1 Computational Biology Software Industry Trends
2.3.2 Computational Biology Software Âé¶¹Ô´´ Drivers
2.3.3 Computational Biology Software Âé¶¹Ô´´ Challenges
2.3.4 Computational Biology Software Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Computational Biology Software by Players
3.1.1 Global Computational Biology Software Revenue by Players (2019-2024)
3.1.2 Global Computational Biology Software Revenue Âé¶¹Ô´´ Share by Players (2019-2024)
3.2 Global Computational Biology Software Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Computational Biology Software, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Computational Biology Software Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global Computational Biology Software Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Computational Biology Software Revenue in 2023
3.5 Global Key Players of Computational Biology Software Head office and Area Served
3.6 Global Key Players of Computational Biology Software, Product and Application
3.7 Global Key Players of Computational Biology Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Computational Biology Software Breakdown Data by Type
4.1 Global Computational Biology Software Historic Âé¶¹Ô´´ Size by Type (2019-2024)
4.2 Global Computational Biology Software Forecasted Âé¶¹Ô´´ Size by Type (2025-2030)
5 Computational Biology Software Breakdown Data by Application
5.1 Global Computational Biology Software Historic Âé¶¹Ô´´ Size by Application (2019-2024)
5.2 Global Computational Biology Software Forecasted Âé¶¹Ô´´ Size by Application (2025-2030)
6 North America
6.1 North America Computational Biology Software Âé¶¹Ô´´ Size (2019-2030)
6.2 North America Computational Biology Software Âé¶¹Ô´´ Size by Type
6.2.1 North America Computational Biology Software Âé¶¹Ô´´ Size by Type (2019-2024)
6.2.2 North America Computational Biology Software Âé¶¹Ô´´ Size by Type (2025-2030)
6.2.3 North America Computational Biology Software Âé¶¹Ô´´ Share by Type (2019-2030)
6.3 North America Computational Biology Software Âé¶¹Ô´´ Size by Application
6.3.1 North America Computational Biology Software Âé¶¹Ô´´ Size by Application (2019-2024)
6.3.2 North America Computational Biology Software Âé¶¹Ô´´ Size by Application (2025-2030)
6.3.3 North America Computational Biology Software Âé¶¹Ô´´ Share by Application (2019-2030)
6.4 North America Computational Biology Software Âé¶¹Ô´´ Size by Country
6.4.1 North America Computational Biology Software Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Computational Biology Software Âé¶¹Ô´´ Size by Country (2019-2024)
6.4.3 North America Computational Biology Software Âé¶¹Ô´´ Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Computational Biology Software Âé¶¹Ô´´ Size (2019-2030)
7.2 Europe Computational Biology Software Âé¶¹Ô´´ Size by Type
7.2.1 Europe Computational Biology Software Âé¶¹Ô´´ Size by Type (2019-2024)
7.2.2 Europe Computational Biology Software Âé¶¹Ô´´ Size by Type (2025-2030)
7.2.3 Europe Computational Biology Software Âé¶¹Ô´´ Share by Type (2019-2030)
7.3 Europe Computational Biology Software Âé¶¹Ô´´ Size by Application
7.3.1 Europe Computational Biology Software Âé¶¹Ô´´ Size by Application (2019-2024)
7.3.2 Europe Computational Biology Software Âé¶¹Ô´´ Size by Application (2025-2030)
7.3.3 Europe Computational Biology Software Âé¶¹Ô´´ Share by Application (2019-2030)
7.4 Europe Computational Biology Software Âé¶¹Ô´´ Size by Country
7.4.1 Europe Computational Biology Software Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Computational Biology Software Âé¶¹Ô´´ Size by Country (2019-2024)
7.4.3 Europe Computational Biology Software Âé¶¹Ô´´ Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Computational Biology Software Âé¶¹Ô´´ Size (2019-2030)
8.2 China Computational Biology Software Âé¶¹Ô´´ Size by Type
8.2.1 China Computational Biology Software Âé¶¹Ô´´ Size by Type (2019-2024)
8.2.2 China Computational Biology Software Âé¶¹Ô´´ Size by Type (2025-2030)
8.2.3 China Computational Biology Software Âé¶¹Ô´´ Share by Type (2019-2030)
8.3 China Computational Biology Software Âé¶¹Ô´´ Size by Application
8.3.1 China Computational Biology Software Âé¶¹Ô´´ Size by Application (2019-2024)
8.3.2 China Computational Biology Software Âé¶¹Ô´´ Size by Application (2025-2030)
8.3.3 China Computational Biology Software Âé¶¹Ô´´ Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Computational Biology Software Âé¶¹Ô´´ Size (2019-2030)
9.2 Asia Computational Biology Software Âé¶¹Ô´´ Size by Type
9.2.1 Asia Computational Biology Software Âé¶¹Ô´´ Size by Type (2019-2024)
9.2.2 Asia Computational Biology Software Âé¶¹Ô´´ Size by Type (2025-2030)
9.2.3 Asia Computational Biology Software Âé¶¹Ô´´ Share by Type (2019-2030)
9.3 Asia Computational Biology Software Âé¶¹Ô´´ Size by Application
9.3.1 Asia Computational Biology Software Âé¶¹Ô´´ Size by Application (2019-2024)
9.3.2 Asia Computational Biology Software Âé¶¹Ô´´ Size by Application (2025-2030)
9.3.3 Asia Computational Biology Software Âé¶¹Ô´´ Share by Application (2019-2030)
9.4 Asia Computational Biology Software Âé¶¹Ô´´ Size by Region
9.4.1 Asia Computational Biology Software Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Computational Biology Software Âé¶¹Ô´´ Size by Region (2019-2024)
9.4.3 Asia Computational Biology Software Âé¶¹Ô´´ Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size (2019-2030)
10.2 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Type
10.2.1 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Application
10.3.1 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Country
10.4.1 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Computational Biology Software Âé¶¹Ô´´ Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Chemical Computing Group
11.1.1 Chemical Computing Group Company Details
11.1.2 Chemical Computing Group Business Overview
11.1.3 Chemical Computing Group Computational Biology Software Introduction
11.1.4 Chemical Computing Group Revenue in Computational Biology Software Business (2019-2024)
11.1.5 Chemical Computing Group Recent Developments
11.2 Accelrys
11.2.1 Accelrys Company Details
11.2.2 Accelrys Business Overview
11.2.3 Accelrys Computational Biology Software Introduction
11.2.4 Accelrys Revenue in Computational Biology Software Business (2019-2024)
11.2.5 Accelrys Recent Developments
11.3 Compugen
11.3.1 Compugen Company Details
11.3.2 Compugen Business Overview
11.3.3 Compugen Computational Biology Software Introduction
11.3.4 Compugen Revenue in Computational Biology Software Business (2019-2024)
11.3.5 Compugen Recent Developments
11.4 Entelos
11.4.1 Entelos Company Details
11.4.2 Entelos Business Overview
11.4.3 Entelos Computational Biology Software Introduction
11.4.4 Entelos Revenue in Computational Biology Software Business (2019-2024)
11.4.5 Entelos Recent Developments
11.5 Insilico Biotechnology
11.5.1 Insilico Biotechnology Company Details
11.5.2 Insilico Biotechnology Business Overview
11.5.3 Insilico Biotechnology Computational Biology Software Introduction
11.5.4 Insilico Biotechnology Revenue in Computational Biology Software Business (2019-2024)
11.5.5 Insilico Biotechnology Recent Developments
11.6 Genedata
11.6.1 Genedata Company Details
11.6.2 Genedata Business Overview
11.6.3 Genedata Computational Biology Software Introduction
11.6.4 Genedata Revenue in Computational Biology Software Business (2019-2024)
11.6.5 Genedata Recent Developments
11.7 Leadscope
11.7.1 Leadscope Company Details
11.7.2 Leadscope Business Overview
11.7.3 Leadscope Computational Biology Software Introduction
11.7.4 Leadscope Revenue in Computational Biology Software Business (2019-2024)
11.7.5 Leadscope Recent Developments
11.8 Simulation Plus
11.8.1 Simulation Plus Company Details
11.8.2 Simulation Plus Business Overview
11.8.3 Simulation Plus Computational Biology Software Introduction
11.8.4 Simulation Plus Revenue in Computational Biology Software Business (2019-2024)
11.8.5 Simulation Plus Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Chemical Computing Group
Accelrys
Compugen
Entelos
Insilico Biotechnology
Genedata
Leadscope
Simulation Plus
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*If Applicable.