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Global AI in Proteomics Market Outlook, In‑Depth Analysis & Forecast to 2031
Published Date: November 2025
|
Report Code: QYRE-Auto-26Z16816
Home | Market Reports | Science| Biological Sciences
Global AI in Proteomics Market Research Report 2024
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Global AI in Proteomics Market Outlook, In‑Depth Analysis & Forecast to 2031

Code: QYRE-Auto-26Z16816
Report
November 2025
Pages:123
QYResearch
Buy Now with 15% Discount
DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Google DeepMind
Westlake Omics
Biognosys
SomaLogic
Thermo Fisher
Biodesix
MSAID
Protai
Protica Bio
Aiwell Inc.

AI in Proteomics Market

The global AI in Proteomics market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
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.
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.

Report Includes:

This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global AI in Proteomics market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation

Scope of AI in Proteomics Market Report

Report Metric Details
Report Name AI in Proteomics Market
Segment by Type
  • Software
  • Service
Segment by Application
  • Scientific Research
  • Drug Discovery
  • Others
Sales by Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • 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)
By Company Google DeepMind, MSAID, Protai, Protica Bio, Westlake Omics, Aiwell Inc., Biognosys, SomaLogic, Thermo Fisher, Biodesix
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Defines the AI in Proteomics study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
  • Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
  • Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
  • Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
  • Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
  • Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
  • Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
  • Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
  • Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
  • Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
  • Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
  • Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
  • Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
  • Chapter 14: Actionable conclusions and strategic recommendations.
  • Why This Report:
  • Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
  • Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
  • Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
  • Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
  • Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
  • Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

FAQ for this report

Who are the main players in the AI in Proteomics Market report?

Ans: The main players in the AI in Proteomics Market are Google DeepMind, MSAID, Protai, Protica Bio, Westlake Omics, Aiwell Inc., Biognosys, SomaLogic, Thermo Fisher, Biodesix

What are the Application segmentation covered in the AI in Proteomics Market report?

Ans: The Applications covered in the AI in Proteomics Market report are Scientific Research, Drug Discovery, Others

What are the Type segmentation covered in the AI in Proteomics Market report?

Ans: The Types covered in the AI in Proteomics Market report are Software, Service

1 Study Coverage
1.1 Introduction to AI in Proteomics: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global AI in Proteomics Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Software
1.2.3 Service
1.3 Market Segmentation by Application
1.3.1 Global AI in Proteomics Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Scientific Research
1.3.3 Drug Discovery
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global AI in Proteomics Revenue Estimates and Forecasts 2020-2031
2.2 Global AI in Proteomics Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global AI in Proteomics Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global AI in Proteomics Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Software Market Size by Players
3.3.2 Service Market Size by Players
3.4 Global AI in Proteomics Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global AI in Proteomics Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global AI in Proteomics Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America AI in Proteomics Market Size by Type (2020-2031)
6.4 North America AI in Proteomics Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America AI in Proteomics Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe AI in Proteomics Market Size by Type (2020-2031)
7.4 Europe AI in Proteomics Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe AI in Proteomics Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific AI in Proteomics Market Size by Type (2020-2031)
8.4 Asia-Pacific AI in Proteomics Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific AI in Proteomics Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America AI in Proteomics Market Size by Type (2020-2031)
9.4 Central and South America AI in Proteomics Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America AI in Proteomics Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa AI in Proteomics Market Size by Type (2020-2031)
10.4 Middle East and Africa AI in Proteomics Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa AI in Proteomics Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 Google DeepMind
11.1.1 Google DeepMind Corporation Information
11.1.2 Google DeepMind Business Overview
11.1.3 Google DeepMind AI in Proteomics Product Features and Attributes
11.1.4 Google DeepMind AI in Proteomics Revenue and Gross Margin (2020-2025)
11.1.5 Google DeepMind AI in Proteomics Revenue by Product in 2024
11.1.6 Google DeepMind AI in Proteomics Revenue by Application in 2024
11.1.7 Google DeepMind AI in Proteomics Revenue by Geographic Area in 2024
11.1.8 Google DeepMind AI in Proteomics SWOT Analysis
11.1.9 Google DeepMind Recent Developments
11.2 MSAID
11.2.1 MSAID Corporation Information
11.2.2 MSAID Business Overview
11.2.3 MSAID AI in Proteomics Product Features and Attributes
11.2.4 MSAID AI in Proteomics Revenue and Gross Margin (2020-2025)
11.2.5 MSAID AI in Proteomics Revenue by Product in 2024
11.2.6 MSAID AI in Proteomics Revenue by Application in 2024
11.2.7 MSAID AI in Proteomics Revenue by Geographic Area in 2024
11.2.8 MSAID AI in Proteomics SWOT Analysis
11.2.9 MSAID Recent Developments
11.3 Protai
11.3.1 Protai Corporation Information
11.3.2 Protai Business Overview
11.3.3 Protai AI in Proteomics Product Features and Attributes
11.3.4 Protai AI in Proteomics Revenue and Gross Margin (2020-2025)
11.3.5 Protai AI in Proteomics Revenue by Product in 2024
11.3.6 Protai AI in Proteomics Revenue by Application in 2024
11.3.7 Protai AI in Proteomics Revenue by Geographic Area in 2024
11.3.8 Protai AI in Proteomics SWOT Analysis
11.3.9 Protai Recent Developments
11.4 Protica Bio
11.4.1 Protica Bio Corporation Information
11.4.2 Protica Bio Business Overview
11.4.3 Protica Bio AI in Proteomics Product Features and Attributes
11.4.4 Protica Bio AI in Proteomics Revenue and Gross Margin (2020-2025)
11.4.5 Protica Bio AI in Proteomics Revenue by Product in 2024
11.4.6 Protica Bio AI in Proteomics Revenue by Application in 2024
11.4.7 Protica Bio AI in Proteomics Revenue by Geographic Area in 2024
11.4.8 Protica Bio AI in Proteomics SWOT Analysis
11.4.9 Protica Bio Recent Developments
11.5 Westlake Omics
11.5.1 Westlake Omics Corporation Information
11.5.2 Westlake Omics Business Overview
11.5.3 Westlake Omics AI in Proteomics Product Features and Attributes
11.5.4 Westlake Omics AI in Proteomics Revenue and Gross Margin (2020-2025)
11.5.5 Westlake Omics AI in Proteomics Revenue by Product in 2024
11.5.6 Westlake Omics AI in Proteomics Revenue by Application in 2024
11.5.7 Westlake Omics AI in Proteomics Revenue by Geographic Area in 2024
11.5.8 Westlake Omics AI in Proteomics SWOT Analysis
11.5.9 Westlake Omics Recent Developments
11.6 Aiwell Inc.
11.6.1 Aiwell Inc. Corporation Information
11.6.2 Aiwell Inc. Business Overview
11.6.3 Aiwell Inc. AI in Proteomics Product Features and Attributes
11.6.4 Aiwell Inc. AI in Proteomics Revenue and Gross Margin (2020-2025)
11.6.5 Aiwell Inc. Recent Developments
11.7 Biognosys
11.7.1 Biognosys Corporation Information
11.7.2 Biognosys Business Overview
11.7.3 Biognosys AI in Proteomics Product Features and Attributes
11.7.4 Biognosys AI in Proteomics Revenue and Gross Margin (2020-2025)
11.7.5 Biognosys Recent Developments
11.8 SomaLogic
11.8.1 SomaLogic Corporation Information
11.8.2 SomaLogic Business Overview
11.8.3 SomaLogic AI in Proteomics Product Features and Attributes
11.8.4 SomaLogic AI in Proteomics Revenue and Gross Margin (2020-2025)
11.8.5 SomaLogic Recent Developments
11.9 Thermo Fisher
11.9.1 Thermo Fisher Corporation Information
11.9.2 Thermo Fisher Business Overview
11.9.3 Thermo Fisher AI in Proteomics Product Features and Attributes
11.9.4 Thermo Fisher AI in Proteomics Revenue and Gross Margin (2020-2025)
11.9.5 Thermo Fisher Recent Developments
11.10 Biodesix
11.10.1 Biodesix Corporation Information
11.10.2 Biodesix Business Overview
11.10.3 Biodesix AI in Proteomics Product Features and Attributes
11.10.4 Biodesix AI in Proteomics Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
12 AI in ProteomicsIndustry Chain Analysis
12.1 AI in Proteomics Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 AI in Proteomics Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global AI in Proteomics Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
FEATURED COMPANIES
Google DeepMind
Westlake Omics
Biognosys
SomaLogic
Thermo Fisher
Biodesix
MSAID
Protai
Protica Bio
Aiwell Inc.
List of Tables
 Table 1. Global AI in Proteomics Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Table 2. Global AI in Proteomics Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Table 3. Global AI in Proteomics Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 4. Global AI in Proteomics Revenue by Region (2020-2025) & (US$ Million)
 Table 5. Global AI in Proteomics Revenue by Region (2026-2031) & (US$ Million)
 Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 7. Global AI in Proteomics Revenue by Players (2020-2025) & (US$ Million)
 Table 8. Global AI in Proteomics Revenue Market Share by Players (2020-2025)
 Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
 Table 10. Global AI in Proteomics by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI in Proteomics as of 2024)
 Table 11. Global AI in Proteomics Average Gross Margin (%) by Player (2020 VS 2024)
 Table 12. Global AI in Proteomics Companies Headquarters
 Table 13. Global AI in Proteomics Market Concentration Ratio (CR5 and HHI)
 Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
 Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
 Table 16. Global AI in Proteomics Revenue by Type (2020-2025) & (US$ Million)
 Table 17. Global AI in Proteomics Revenue by Type (2026-2031) & (US$ Million)
 Table 18. Key Product Attributes and Differentiation
 Table 19. Global AI in Proteomics Revenue by Application (2020-2025) & (US$ Million)
 Table 20. Global AI in Proteomics Revenue by Application (2026-2031) & (US$ Million)
 Table 21. AI in Proteomics High-Growth Sectors Demand CAGR (2024-2031)
 Table 22. Top Customers by Region
 Table 23. Top Customers by Application
 Table 24. North America AI in Proteomics Growth Accelerators and Market Barriers
 Table 25. North America AI in Proteomics Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 26. Europe AI in Proteomics Growth Accelerators and Market Barriers
 Table 27. Europe AI in Proteomics Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
 Table 28. Asia-Pacific AI in Proteomics Growth Accelerators and Market Barriers
 Table 29. Asia-Pacific AI in Proteomics Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 30. Central and South America AI in Proteomics Investment Opportunities and Key Challenges
 Table 31. Central and South America AI in Proteomics Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 32. Middle East and Africa AI in Proteomics Investment Opportunities and Key Challenges
 Table 33. Middle East and Africa AI in Proteomics Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 34. Google DeepMind Corporation Information
 Table 35. Google DeepMind Description and Major Businesses
 Table 36. Google DeepMind Product Features and Attributes
 Table 37. Google DeepMind Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 38. Google DeepMind Revenue Proportion by Product in 2024
 Table 39. Google DeepMind Revenue Proportion by Application in 2024
 Table 40. Google DeepMind Revenue Proportion by Geographic Area in 2024
 Table 41. Google DeepMind AI in Proteomics SWOT Analysis
 Table 42. Google DeepMind Recent Developments
 Table 43. MSAID Corporation Information
 Table 44. MSAID Description and Major Businesses
 Table 45. MSAID Product Features and Attributes
 Table 46. MSAID Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 47. MSAID Revenue Proportion by Product in 2024
 Table 48. MSAID Revenue Proportion by Application in 2024
 Table 49. MSAID Revenue Proportion by Geographic Area in 2024
 Table 50. MSAID AI in Proteomics SWOT Analysis
 Table 51. MSAID Recent Developments
 Table 52. Protai Corporation Information
 Table 53. Protai Description and Major Businesses
 Table 54. Protai Product Features and Attributes
 Table 55. Protai Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 56. Protai Revenue Proportion by Product in 2024
 Table 57. Protai Revenue Proportion by Application in 2024
 Table 58. Protai Revenue Proportion by Geographic Area in 2024
 Table 59. Protai AI in Proteomics SWOT Analysis
 Table 60. Protai Recent Developments
 Table 61. Protica Bio Corporation Information
 Table 62. Protica Bio Description and Major Businesses
 Table 63. Protica Bio Product Features and Attributes
 Table 64. Protica Bio Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 65. Protica Bio Revenue Proportion by Product in 2024
 Table 66. Protica Bio Revenue Proportion by Application in 2024
 Table 67. Protica Bio Revenue Proportion by Geographic Area in 2024
 Table 68. Protica Bio AI in Proteomics SWOT Analysis
 Table 69. Protica Bio Recent Developments
 Table 70. Westlake Omics Corporation Information
 Table 71. Westlake Omics Description and Major Businesses
 Table 72. Westlake Omics Product Features and Attributes
 Table 73. Westlake Omics Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 74. Westlake Omics Revenue Proportion by Product in 2024
 Table 75. Westlake Omics Revenue Proportion by Application in 2024
 Table 76. Westlake Omics Revenue Proportion by Geographic Area in 2024
 Table 77. Westlake Omics AI in Proteomics SWOT Analysis
 Table 78. Westlake Omics Recent Developments
 Table 79. Aiwell Inc. Corporation Information
 Table 80. Aiwell Inc. Description and Major Businesses
 Table 81. Aiwell Inc. Product Features and Attributes
 Table 82. Aiwell Inc. Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 83. Aiwell Inc. Recent Developments
 Table 84. Biognosys Corporation Information
 Table 85. Biognosys Description and Major Businesses
 Table 86. Biognosys Product Features and Attributes
 Table 87. Biognosys Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 88. Biognosys Recent Developments
 Table 89. SomaLogic Corporation Information
 Table 90. SomaLogic Description and Major Businesses
 Table 91. SomaLogic Product Features and Attributes
 Table 92. SomaLogic Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 93. SomaLogic Recent Developments
 Table 94. Thermo Fisher Corporation Information
 Table 95. Thermo Fisher Description and Major Businesses
 Table 96. Thermo Fisher Product Features and Attributes
 Table 97. Thermo Fisher Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 98. Thermo Fisher Recent Developments
 Table 99. Biodesix Corporation Information
 Table 100. Biodesix Description and Major Businesses
 Table 101. Biodesix Product Features and Attributes
 Table 102. Biodesix Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 103. Biodesix Recent Developments
 Table 104. Raw Materials Key Suppliers
 Table 105. Distributors List
 Table 106. Market Trends and Market Evolution
 Table 107. Market Drivers and Opportunities
 Table 108. Market Challenges, Risks, and Restraints
 Table 109. Research Programs/Design for This Report
 Table 110. Key Data Information from Secondary Sources
 Table 111. Key Data Information from Primary Sources


List of Figures
 Figure 1. AI in Proteomics Product Picture
 Figure 2. Global AI in Proteomics Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 3. Software Product Picture
 Figure 4. Service Product Picture
 Figure 5. Global AI in Proteomics Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 6. Scientific Research
 Figure 7. Drug Discovery
 Figure 8. Others
 Figure 9. AI in Proteomics Report Years Considered
 Figure 10. Global AI in Proteomics Revenue, (US$ Million), 2020 VS 2024 VS 2031
 Figure 11. Global AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 12. Global AI in Proteomics Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Figure 13. Global AI in Proteomics Revenue Market Share by Region (2020-2031)
 Figure 14. Global AI in Proteomics Revenue Market Share Ranking (2024)
 Figure 15. Tier Distribution by Revenue Contribution (2020 VS 2024)
 Figure 16. Software Revenue Market Share by Player in 2024
 Figure 17. Service Revenue Market Share by Player in 2024
 Figure 18. Global AI in Proteomics Revenue Market Share by Type (2020-2031)
 Figure 19. Global AI in Proteomics Revenue Market Share by Application (2020-2031)
 Figure 20. North America AI in Proteomics Revenue YoY (2020-2031) & (US$ Million)
 Figure 21. North America Top 5 Players AI in Proteomics Revenue (US$ Million) in 2024
 Figure 22. North America AI in Proteomics Revenue (US$ Million) by Type (2020 - 2031)
 Figure 23. North America AI in Proteomics Revenue (US$ Million) by Application (2020-2031)
 Figure 24. US AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 25. Canada AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 26. Mexico AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 27. Europe AI in Proteomics Revenue YoY (2020-2031) & (US$ Million)
 Figure 28. Europe Top 5 Players AI in Proteomics Revenue (US$ Million) in 2024
 Figure 29. Europe AI in Proteomics Revenue (US$ Million) by Type (2020-2031)
 Figure 30. Europe AI in Proteomics Revenue (US$ Million) by Application (2020-2031)
 Figure 31. Germany AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 32. France AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 33. U.K. AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 34. Italy AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 35. Russia AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 36. Asia-Pacific AI in Proteomics Revenue YoY (2020-2031) & (US$ Million)
 Figure 37. Asia-Pacific Top 8 Players AI in Proteomics Revenue (US$ Million) in 2024
 Figure 38. Asia-Pacific AI in Proteomics Revenue (US$ Million) by Type (2020-2031)
 Figure 39. Asia-Pacific AI in Proteomics Revenue (US$ Million) by Application (2020-2031)
 Figure 40. Indonesia AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 41. Japan AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 42. South Korea AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 43. Australia AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 44. India AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 45. Indonesia AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 46. Vietnam AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 47. Malaysia AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 48. Philippines AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 49. Singapore AI in Proteomics Revenue (2020-2031) & (US$ Million)
 Figure 50. Central and South America AI in Proteomics Revenue YoY (2020-2031) & (US$ Million)
 Figure 51. Central and South America Top 5 Players AI in Proteomics Revenue (US$ Million) in 2024
 Figure 52. Central and South America AI in Proteomics Revenue (US$ Million) by Type (2020-2031)
 Figure 53. Central and South America AI in Proteomics Revenue (US$ Million) by Application (2020-2031)
 Figure 54. Brazil AI in Proteomics Revenue (2020-2025) & (US$ Million)
 Figure 55. Argentina AI in Proteomics Revenue (2020-2025) & (US$ Million)
 Figure 56. Middle East and Africa AI in Proteomics Revenue YoY (2020-2031) & (US$ Million)
 Figure 57. Middle East and Africa Top 5 Players AI in Proteomics Revenue (US$ Million) in 2024
 Figure 58. South America AI in Proteomics Revenue (US$ Million) by Type (2020-2031)
 Figure 59. Middle East and Africa AI in Proteomics Revenue (US$ Million) by Application (2020-2031)
 Figure 60. GCC Countries AI in Proteomics Revenue (2020-2025) & (US$ Million)
 Figure 61. Israel AI in Proteomics Revenue (2020-2025) & (US$ Million)
 Figure 62. Egypt AI in Proteomics Revenue (2020-2025) & (US$ Million)
 Figure 63. South Africa AI in Proteomics Revenue (2020-2025) & (US$ Million)
 Figure 64. AI in Proteomics Industry Chain Mapping
 Figure 65. Channels of Distribution (Direct Vs Distribution)
 Figure 66. Bottom-up and Top-down Approaches for This Report
 Figure 67. Data Triangulation
 Figure 68. Key Executives Interviewed
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