Global Computational Biology Software 麻豆原创 Research Report 2024

Publication ID:

PB505250227

Publication Date:

May 7, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global Computational Biology Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Computational Biology Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Computational Biology Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Computational Biology Software in Cellular and Biological Simulation is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Computational Biology Software include Chemical Computing Group, Accelrys, Compugen, Entelos, Insilico Biotechnology, Genedata, Leadscope and Simulation Plus, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Computational Biology Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Computational Biology Software.
Report Scope
The Computational Biology Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Computational Biology Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Computational Biology Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 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
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size 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 market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Computational Biology Software 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 麻豆原创 by Application
1.3.1 Global Computational Biology Software 麻豆原创 Growth 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 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computational Biology Software 麻豆原创 Perspective (2019-2030)
2.2 Computational Biology Software Growth Trends by Region
2.2.1 Global Computational Biology Software 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Computational Biology Software Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Computational Biology Software Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Computational Biology Software 麻豆原创 Dynamics
2.3.1 Computational Biology Software Industry Trends
2.3.2 Computational Biology Software 麻豆原创 Drivers
2.3.3 Computational Biology Software 麻豆原创 Challenges
2.3.4 Computational Biology Software 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Computational Biology Software Players by Revenue
3.1.1 Global Top Computational Biology Software Players by Revenue (2019-2024)
3.1.2 Global Computational Biology Software Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Computational Biology Software 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Computational Biology Software Revenue
3.4 Global Computational Biology Software 麻豆原创 Concentration Ratio
3.4.1 Global Computational Biology Software 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Computational Biology Software Revenue in 2023
3.5 Computational Biology Software Key Players Head office and Area Served
3.6 Key Players Computational Biology Software Product Solution and Service
3.7 Date of Enter into Computational Biology Software 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Computational Biology Software Breakdown Data by Type
4.1 Global Computational Biology Software Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Computational Biology Software Forecasted 麻豆原创 Size by Type (2025-2030)
5 Computational Biology Software Breakdown Data by Application
5.1 Global Computational Biology Software Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Computational Biology Software Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Computational Biology Software 麻豆原创 Size (2019-2030)
6.2 North America Computational Biology Software 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Computational Biology Software 麻豆原创 Size by Country (2019-2024)
6.4 North America Computational Biology Software 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Computational Biology Software 麻豆原创 Size (2019-2030)
7.2 Europe Computational Biology Software 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Computational Biology Software 麻豆原创 Size by Country (2019-2024)
7.4 Europe Computational Biology Software 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Computational Biology Software 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Computational Biology Software 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Computational Biology Software 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Computational Biology Software 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Computational Biology Software 麻豆原创 Size (2019-2030)
9.2 Latin America Computational Biology Software 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Computational Biology Software 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Computational Biology Software 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Computational Biology Software 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Computational Biology Software 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Computational Biology Software 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Computational Biology Software 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Chemical Computing Group
11.1.1 Chemical Computing Group Company Detail
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 Development
11.2 Accelrys
11.2.1 Accelrys Company Detail
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 Development
11.3 Compugen
11.3.1 Compugen Company Detail
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 Development
11.4 Entelos
11.4.1 Entelos Company Detail
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 Development
11.5 Insilico Biotechnology
11.5.1 Insilico Biotechnology Company Detail
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 Development
11.6 Genedata
11.6.1 Genedata Company Detail
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 Development
11.7 Leadscope
11.7.1 Leadscope Company Detail
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 Development
11.8 Simulation Plus
11.8.1 Simulation Plus Company Detail
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 Development
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

Companies Mentioned:

Chemical Computing Group
Accelrys
Compugen
Entelos
Insilico Biotechnology
Genedata
Leadscope
Simulation Plus

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.