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Synopsis
Computational Immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology. The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.
The global Computational Immunology 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 Immunology 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 Immunology 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 Immunology in Allergy Prediction Databases 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 Immunology include EpiVax, Novozymes Biopharma, ioGenetics, International Society of Vaccines, IMGT, Dassault Systemes, Certara, Chemical Computing Group and Compugen, 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 Immunology, 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 Immunology.
Report Scope
The Computational Immunology 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 Immunology 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 Immunology 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.
Market Segmentation
By Company
- EpiVax
- Novozymes Biopharma
- ioGenetics
- International Society of Vaccines
- IMGT
- Dassault Systemes
- Certara
- Chemical Computing Group
- Compugen
- Genedata AG
- Insilico Biotechnology AG
- Leadscope Inc
- Nimbus Discovery
- Strand Life Sciences
- Schrodinger
- Simulation Plus
- Rosa & Co
Segment by Type
- Cancer Diagnosis & Therapy
- Reverse Vaccinology
- Immune System Modeling
Segment by Application
- Allergy Prediction Databases
- Analysis Resource Database
- International Immunogenetics System
- The Ontology of Immune Epitopes
- Immune Epitope Database
By Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Russia)
- Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
- Latin America (Mexico, Brazil, Argentina)
- Middle East & Africa (Turkey, Saudi Arabia, UAE)
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 Immunology companies’ 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.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Computational Immunology Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cancer Diagnosis & Therapy
1.2.3 Reverse Vaccinology
1.2.4 Immune System Modeling
1.3 Market by Application
1.3.1 Global Computational Immunology Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Allergy Prediction Databases
1.3.3 Analysis Resource Database
1.3.4 International Immunogenetics System
1.3.5 The Ontology of Immune Epitopes
1.3.6 Immune Epitope Database
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computational Immunology Market Perspective (2019-2030)
2.2 Computational Immunology Growth Trends by Region
2.2.1 Global Computational Immunology Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Computational Immunology Historic Market Size by Region (2019-2024)
2.2.3 Computational Immunology Forecasted Market Size by Region (2025-2030)
2.3 Computational Immunology Market Dynamics
2.3.1 Computational Immunology Industry Trends
2.3.2 Computational Immunology Market Drivers
2.3.3 Computational Immunology Market Challenges
2.3.4 Computational Immunology Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Computational Immunology Players by Revenue
3.1.1 Global Top Computational Immunology Players by Revenue (2019-2024)
3.1.2 Global Computational Immunology Revenue Market Share by Players (2019-2024)
3.2 Global Computational Immunology Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Computational Immunology Revenue
3.4 Global Computational Immunology Market Concentration Ratio
3.4.1 Global Computational Immunology Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Computational Immunology Revenue in 2023
3.5 Computational Immunology Key Players Head office and Area Served
3.6 Key Players Computational Immunology Product Solution and Service
3.7 Date of Enter into Computational Immunology Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Computational Immunology Breakdown Data by Type
4.1 Global Computational Immunology Historic Market Size by Type (2019-2024)
4.2 Global Computational Immunology Forecasted Market Size by Type (2025-2030)
5 Computational Immunology Breakdown Data by Application
5.1 Global Computational Immunology Historic Market Size by Application (2019-2024)
5.2 Global Computational Immunology Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Computational Immunology Market Size (2019-2030)
6.2 North America Computational Immunology Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Computational Immunology Market Size by Country (2019-2024)
6.4 North America Computational Immunology Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Computational Immunology Market Size (2019-2030)
7.2 Europe Computational Immunology Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Computational Immunology Market Size by Country (2019-2024)
7.4 Europe Computational Immunology Market 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 Immunology Market Size (2019-2030)
8.2 Asia-Pacific Computational Immunology Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Computational Immunology Market Size by Region (2019-2024)
8.4 Asia-Pacific Computational Immunology Market 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 Immunology Market Size (2019-2030)
9.2 Latin America Computational Immunology Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Computational Immunology Market Size by Country (2019-2024)
9.4 Latin America Computational Immunology Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Computational Immunology Market Size (2019-2030)
10.2 Middle East & Africa Computational Immunology Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Computational Immunology Market Size by Country (2019-2024)
10.4 Middle East & Africa Computational Immunology Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 EpiVax
11.1.1 EpiVax Company Detail
11.1.2 EpiVax Business Overview
11.1.3 EpiVax Computational Immunology Introduction
11.1.4 EpiVax Revenue in Computational Immunology Business (2019-2024)
11.1.5 EpiVax Recent Development
11.2 Novozymes Biopharma
11.2.1 Novozymes Biopharma Company Detail
11.2.2 Novozymes Biopharma Business Overview
11.2.3 Novozymes Biopharma Computational Immunology Introduction
11.2.4 Novozymes Biopharma Revenue in Computational Immunology Business (2019-2024)
11.2.5 Novozymes Biopharma Recent Development
11.3 ioGenetics
11.3.1 ioGenetics Company Detail
11.3.2 ioGenetics Business Overview
11.3.3 ioGenetics Computational Immunology Introduction
11.3.4 ioGenetics Revenue in Computational Immunology Business (2019-2024)
11.3.5 ioGenetics Recent Development
11.4 International Society of Vaccines
11.4.1 International Society of Vaccines Company Detail
11.4.2 International Society of Vaccines Business Overview
11.4.3 International Society of Vaccines Computational Immunology Introduction
11.4.4 International Society of Vaccines Revenue in Computational Immunology Business (2019-2024)
11.4.5 International Society of Vaccines Recent Development
11.5 IMGT
11.5.1 IMGT Company Detail
11.5.2 IMGT Business Overview
11.5.3 IMGT Computational Immunology Introduction
11.5.4 IMGT Revenue in Computational Immunology Business (2019-2024)
11.5.5 IMGT Recent Development
11.6 Dassault Systemes
11.6.1 Dassault Systemes Company Detail
11.6.2 Dassault Systemes Business Overview
11.6.3 Dassault Systemes Computational Immunology Introduction
11.6.4 Dassault Systemes Revenue in Computational Immunology Business (2019-2024)
11.6.5 Dassault Systemes Recent Development
11.7 Certara
11.7.1 Certara Company Detail
11.7.2 Certara Business Overview
11.7.3 Certara Computational Immunology Introduction
11.7.4 Certara Revenue in Computational Immunology Business (2019-2024)
11.7.5 Certara Recent Development
11.8 Chemical Computing Group
11.8.1 Chemical Computing Group Company Detail
11.8.2 Chemical Computing Group Business Overview
11.8.3 Chemical Computing Group Computational Immunology Introduction
11.8.4 Chemical Computing Group Revenue in Computational Immunology Business (2019-2024)
11.8.5 Chemical Computing Group Recent Development
11.9 Compugen
11.9.1 Compugen Company Detail
11.9.2 Compugen Business Overview
11.9.3 Compugen Computational Immunology Introduction
11.9.4 Compugen Revenue in Computational Immunology Business (2019-2024)
11.9.5 Compugen Recent Development
11.10 Genedata AG
11.10.1 Genedata AG Company Detail
11.10.2 Genedata AG Business Overview
11.10.3 Genedata AG Computational Immunology Introduction
11.10.4 Genedata AG Revenue in Computational Immunology Business (2019-2024)
11.10.5 Genedata AG Recent Development
11.11 Insilico Biotechnology AG
11.11.1 Insilico Biotechnology AG Company Detail
11.11.2 Insilico Biotechnology AG Business Overview
11.11.3 Insilico Biotechnology AG Computational Immunology Introduction
11.11.4 Insilico Biotechnology AG Revenue in Computational Immunology Business (2019-2024)
11.11.5 Insilico Biotechnology AG Recent Development
11.12 Leadscope Inc
11.12.1 Leadscope Inc Company Detail
11.12.2 Leadscope Inc Business Overview
11.12.3 Leadscope Inc Computational Immunology Introduction
11.12.4 Leadscope Inc Revenue in Computational Immunology Business (2019-2024)
11.12.5 Leadscope Inc Recent Development
11.13 Nimbus Discovery
11.13.1 Nimbus Discovery Company Detail
11.13.2 Nimbus Discovery Business Overview
11.13.3 Nimbus Discovery Computational Immunology Introduction
11.13.4 Nimbus Discovery Revenue in Computational Immunology Business (2019-2024)
11.13.5 Nimbus Discovery Recent Development
11.14 Strand Life Sciences
11.14.1 Strand Life Sciences Company Detail
11.14.2 Strand Life Sciences Business Overview
11.14.3 Strand Life Sciences Computational Immunology Introduction
11.14.4 Strand Life Sciences Revenue in Computational Immunology Business (2019-2024)
11.14.5 Strand Life Sciences Recent Development
11.15 Schrodinger
11.15.1 Schrodinger Company Detail
11.15.2 Schrodinger Business Overview
11.15.3 Schrodinger Computational Immunology Introduction
11.15.4 Schrodinger Revenue in Computational Immunology Business (2019-2024)
11.15.5 Schrodinger Recent Development
11.16 Simulation Plus
11.16.1 Simulation Plus Company Detail
11.16.2 Simulation Plus Business Overview
11.16.3 Simulation Plus Computational Immunology Introduction
11.16.4 Simulation Plus Revenue in Computational Immunology Business (2019-2024)
11.16.5 Simulation Plus Recent Development
11.17 Rosa & Co
11.17.1 Rosa & Co Company Detail
11.17.2 Rosa & Co Business Overview
11.17.3 Rosa & Co Computational Immunology Introduction
11.17.4 Rosa & Co Revenue in Computational Immunology Business (2019-2024)
11.17.5 Rosa & Co 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
Published By : QY Research
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