AI in Proteomics refers to the use of artificial intelligence technology and algorithms to conduct in-depth mining and analysis of proteomics data to reveal the functions, interactions and regulatory mechanisms of proteins. It combines the advantages of the two fields of proteomics and artificial intelligence to provide new tools and methods for life science research and medical applications.
According to our (Global Info Research) latest study, the global AI in Proteomics market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.
With the continuous optimization of algorithms and the improvement of computing power, the accuracy and speed of artificial intelligence in protein structure prediction and protein interaction prediction will be significantly improved. This will help to more accurately resolve the complex functions and mechanisms of proteins.
This report is a detailed and comprehensive analysis for global AI in Proteomics market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global AI in Proteomics market size and forecasts, in consumption value ($ Million), 2019-2030
Global AI in Proteomics market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global AI in Proteomics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global AI in Proteomics market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Proteomics
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Proteomics market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Google DeepMind, MSAID, Protai, Protica Bio, Westlake Omics, Aiwell Inc., Biognosys, SomaLogic, Thermo Fisher, Biodesix, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Proteomics 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. This analysis can help you expand your business by targeting qualified niche markets.
Market segmentation
AI in Proteomics market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Software
Service
Market segment by Application
Scientific Research
Drug Discovery
Others
Market segment by players, this report covers
Google DeepMind
MSAID
Protai
Protica Bio
Westlake Omics
Aiwell Inc.
Biognosys
SomaLogic
Thermo Fisher
Biodesix
Market 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 and Rest of Asia-Pacific)
South America (Brazil, 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 AI in Proteomics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Proteomics, with revenue, gross margin, and global market share of AI in Proteomics from 2019 to 2024.
Chapter 3, the AI in Proteomics 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 by Application, with consumption value and growth rate by Type, by 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 AI in Proteomics market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Proteomics.
Chapter 13, to describe AI in Proteomics research findings and conclusion.
Summary:
Get latest Market Research Reports on AI in Proteomics. Industry analysis & Market Report on AI in Proteomics is a syndicated market report, published as Global AI in Proteomics Market 2024 by Company, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of AI in Proteomics market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.