Computational Immunology Market

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.
Computational Immunology Market 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. Computational Immunology Market contains market size and forecasts of Computational Immunology in global, including the following market information:
Global Computational Immunology Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Computational Immunology market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cancer Diagnosis & Therapy Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Computational Immunology include EpiVax, Novozymes Biopharma, ioGenetics, International Society of Vaccines, IMGT, Dassault Systemes, Certara, Chemical Computing Group and Compugen, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Computational Immunology companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Computational Immunology Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Computational Immunology Market Segment Percentages, by Type, 2022 (%)
Cancer Diagnosis & Therapy
Reverse Vaccinology
Immune System Modeling
Global Computational Immunology Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Computational Immunology Market Segment Percentages, by Application, 2022 (%)
Allergy Prediction Databases
Analysis Resource Database
International Immunogenetics System
The Ontology of Immune Epitopes
Immune Epitope Database
Global Computational Immunology Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Computational Immunology Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Computational Immunology revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Computational Immunology revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
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
Outline of Major Chapters:
Chapter 1: Introduces the definition of Computational Immunology, market overview.
Chapter 2: Global Computational Immunology market size in revenue.
Chapter 3: Detailed analysis of Computational Immunology company competitive landscape, revenue and 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: Sales of Computational Immunology in regional level and country 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.