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.

The global AI in Proteomics market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

ReportPrime's newest research report, the “AI in Proteomics Industry Forecast” looks at past sales and reviews total world AI in Proteomics sales in 2022, providing a comprehensive analysis by region and market sector of projected AI in Proteomics sales for 2023 through 2029. With AI in Proteomics sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI in Proteomics industry.

This Insight Report provides a comprehensive analysis of the global AI in Proteomics landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI in Proteomics portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI in Proteomics market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI in Proteomics and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI in Proteomics.

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 presents a comprehensive overview, market shares, and growth opportunities of AI in Proteomics market by product type, application, key players and key regions and countries.

Segmentation by Type:

• Software
• Service

Segmentation by Application:

• Scientific Research
• Drug Discovery
• Others

This report also splits the market by region:

Americas:

• United States
• Canada
• Mexico
• Brazil

APAC:

• China
• Japan
• Korea
• Southeast Asia
• India
• Australia

Europe:

• Germany
• France
• UK
• Italy
• Russia

Middle East & Africa:

• Egypt
• South Africa
• Israel
• Turkey
• GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.

• Google DeepMind
• MSAID
• Protai
• Protica Bio
• Westlake Omics
• Aiwell Inc.
• Biognosys
• SomaLogic
• Thermo Fisher
• Biodesix