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Global AI for Science Market 2025 by Company, Regions, Type and Application, Forecast to 2031

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1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of AI for Science by Type
    • 1.3.1 Overview: Global AI for Science Market Size by Type: 2020 Versus 2024 Versus 2031
    • 1.3.2 Global AI for Science Consumption Value Market Share by Type in 2024
    • 1.3.3 Closed-loop AI
    • 1.3.4 Human-in-the-loop AI
  • 1.4 Global AI for Science Market by Application
    • 1.4.1 Overview: Global AI for Science Market Size by Application: 2020 Versus 2024 Versus 2031
    • 1.4.2 Biological and Pharmaceutical
    • 1.4.3 Industrial Manufacturing
    • 1.4.4 Material
    • 1.4.5 Others
  • 1.5 Global AI for Science Market Size & Forecast
  • 1.6 Global AI for Science Market Size and Forecast by Region
    • 1.6.1 Global AI for Science Market Size by Region: 2020 VS 2024 VS 2031
    • 1.6.2 Global AI for Science Market Size by Region, (2020-2031)
    • 1.6.3 North America AI for Science Market Size and Prospect (2020-2031)
    • 1.6.4 Europe AI for Science Market Size and Prospect (2020-2031)
    • 1.6.5 Asia-Pacific AI for Science Market Size and Prospect (2020-2031)
    • 1.6.6 South America AI for Science Market Size and Prospect (2020-2031)
    • 1.6.7 Middle East & Africa AI for Science Market Size and Prospect (2020-2031)

2 Company Profiles

  • 2.1 Google DeepMind
    • 2.1.1 Google DeepMind Details
    • 2.1.2 Google DeepMind Major Business
    • 2.1.3 Google DeepMind AI for Science Product and Solutions
    • 2.1.4 Google DeepMind AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.1.5 Google DeepMind Recent Developments and Future Plans
  • 2.2 OpenAI
    • 2.2.1 OpenAI Details
    • 2.2.2 OpenAI Major Business
    • 2.2.3 OpenAI AI for Science Product and Solutions
    • 2.2.4 OpenAI AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.2.5 OpenAI Recent Developments and Future Plans
  • 2.3 IBM
    • 2.3.1 IBM Details
    • 2.3.2 IBM Major Business
    • 2.3.3 IBM AI for Science Product and Solutions
    • 2.3.4 IBM AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.3.5 IBM Recent Developments and Future Plans
  • 2.4 Cerebras Systems
    • 2.4.1 Cerebras Systems Details
    • 2.4.2 Cerebras Systems Major Business
    • 2.4.3 Cerebras Systems AI for Science Product and Solutions
    • 2.4.4 Cerebras Systems AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.4.5 Cerebras Systems Recent Developments and Future Plans
  • 2.5 Owkin
    • 2.5.1 Owkin Details
    • 2.5.2 Owkin Major Business
    • 2.5.3 Owkin AI for Science Product and Solutions
    • 2.5.4 Owkin AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.5.5 Owkin Recent Developments and Future Plans
  • 2.6 Schrödinger
    • 2.6.1 Schrödinger Details
    • 2.6.2 Schrödinger Major Business
    • 2.6.3 Schrödinger AI for Science Product and Solutions
    • 2.6.4 Schrödinger AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.6.5 Schrödinger Recent Developments and Future Plans
  • 2.7 BenevolentAI
    • 2.7.1 BenevolentAI Details
    • 2.7.2 BenevolentAI Major Business
    • 2.7.3 BenevolentAI AI for Science Product and Solutions
    • 2.7.4 BenevolentAI AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.7.5 BenevolentAI Recent Developments and Future Plans
  • 2.8 SandboxAQ
    • 2.8.1 SandboxAQ Details
    • 2.8.2 SandboxAQ Major Business
    • 2.8.3 SandboxAQ AI for Science Product and Solutions
    • 2.8.4 SandboxAQ AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.8.5 SandboxAQ Recent Developments and Future Plans
  • 2.9 NVIDIA
    • 2.9.1 NVIDIA Details
    • 2.9.2 NVIDIA Major Business
    • 2.9.3 NVIDIA AI for Science Product and Solutions
    • 2.9.4 NVIDIA AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.9.5 NVIDIA Recent Developments and Future Plans
  • 2.10 XtalPi
    • 2.10.1 XtalPi Details
    • 2.10.2 XtalPi Major Business
    • 2.10.3 XtalPi AI for Science Product and Solutions
    • 2.10.4 XtalPi AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.10.5 XtalPi Recent Developments and Future Plans
  • 2.11 DP Technology
    • 2.11.1 DP Technology Details
    • 2.11.2 DP Technology Major Business
    • 2.11.3 DP Technology AI for Science Product and Solutions
    • 2.11.4 DP Technology AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.11.5 DP Technology Recent Developments and Future Plans
  • 2.12 Altair
    • 2.12.1 Altair Details
    • 2.12.2 Altair Major Business
    • 2.12.3 Altair AI for Science Product and Solutions
    • 2.12.4 Altair AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.12.5 Altair Recent Developments and Future Plans
  • 2.13 Westlake Omics
    • 2.13.1 Westlake Omics Details
    • 2.13.2 Westlake Omics Major Business
    • 2.13.3 Westlake Omics AI for Science Product and Solutions
    • 2.13.4 Westlake Omics AI for Science Revenue, Gross Margin and Market Share (2020-2025)
    • 2.13.5 Westlake Omics Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global AI for Science Revenue and Share by Players (2020-2025)
  • 3.2 Market Share Analysis (2024)
    • 3.2.1 Market Share of AI for Science by Company Revenue
    • 3.2.2 Top 3 AI for Science Players Market Share in 2024
    • 3.2.3 Top 6 AI for Science Players Market Share in 2024
  • 3.3 AI for Science Market: Overall Company Footprint Analysis
    • 3.3.1 AI for Science Market: Region Footprint
    • 3.3.2 AI for Science Market: Company Product Type Footprint
    • 3.3.3 AI for Science Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global AI for Science Consumption Value and Market Share by Type (2020-2025)
  • 4.2 Global AI for Science Market Forecast by Type (2026-2031)

5 Market Size Segment by Application

  • 5.1 Global AI for Science Consumption Value Market Share by Application (2020-2025)
  • 5.2 Global AI for Science Market Forecast by Application (2026-2031)

6 North America

  • 6.1 North America AI for Science Consumption Value by Type (2020-2031)
  • 6.2 North America AI for Science Market Size by Application (2020-2031)
  • 6.3 North America AI for Science Market Size by Country
    • 6.3.1 North America AI for Science Consumption Value by Country (2020-2031)
    • 6.3.2 United States AI for Science Market Size and Forecast (2020-2031)
    • 6.3.3 Canada AI for Science Market Size and Forecast (2020-2031)
    • 6.3.4 Mexico AI for Science Market Size and Forecast (2020-2031)

7 Europe

  • 7.1 Europe AI for Science Consumption Value by Type (2020-2031)
  • 7.2 Europe AI for Science Consumption Value by Application (2020-2031)
  • 7.3 Europe AI for Science Market Size by Country
    • 7.3.1 Europe AI for Science Consumption Value by Country (2020-2031)
    • 7.3.2 Germany AI for Science Market Size and Forecast (2020-2031)
    • 7.3.3 France AI for Science Market Size and Forecast (2020-2031)
    • 7.3.4 United Kingdom AI for Science Market Size and Forecast (2020-2031)
    • 7.3.5 Russia AI for Science Market Size and Forecast (2020-2031)
    • 7.3.6 Italy AI for Science Market Size and Forecast (2020-2031)

8 Asia-Pacific

  • 8.1 Asia-Pacific AI for Science Consumption Value by Type (2020-2031)
  • 8.2 Asia-Pacific AI for Science Consumption Value by Application (2020-2031)
  • 8.3 Asia-Pacific AI for Science Market Size by Region
    • 8.3.1 Asia-Pacific AI for Science Consumption Value by Region (2020-2031)
    • 8.3.2 China AI for Science Market Size and Forecast (2020-2031)
    • 8.3.3 Japan AI for Science Market Size and Forecast (2020-2031)
    • 8.3.4 South Korea AI for Science Market Size and Forecast (2020-2031)
    • 8.3.5 India AI for Science Market Size and Forecast (2020-2031)
    • 8.3.6 Southeast Asia AI for Science Market Size and Forecast (2020-2031)
    • 8.3.7 Australia AI for Science Market Size and Forecast (2020-2031)

9 South America

  • 9.1 South America AI for Science Consumption Value by Type (2020-2031)
  • 9.2 South America AI for Science Consumption Value by Application (2020-2031)
  • 9.3 South America AI for Science Market Size by Country
    • 9.3.1 South America AI for Science Consumption Value by Country (2020-2031)
    • 9.3.2 Brazil AI for Science Market Size and Forecast (2020-2031)
    • 9.3.3 Argentina AI for Science Market Size and Forecast (2020-2031)

10 Middle East & Africa

  • 10.1 Middle East & Africa AI for Science Consumption Value by Type (2020-2031)
  • 10.2 Middle East & Africa AI for Science Consumption Value by Application (2020-2031)
  • 10.3 Middle East & Africa AI for Science Market Size by Country
    • 10.3.1 Middle East & Africa AI for Science Consumption Value by Country (2020-2031)
    • 10.3.2 Turkey AI for Science Market Size and Forecast (2020-2031)
    • 10.3.3 Saudi Arabia AI for Science Market Size and Forecast (2020-2031)
    • 10.3.4 UAE AI for Science Market Size and Forecast (2020-2031)

11 Market Dynamics

  • 11.1 AI for Science Market Drivers
  • 11.2 AI for Science Market Restraints
  • 11.3 AI for Science Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 AI for Science Industry Chain
  • 12.2 AI for Science Upstream Analysis
  • 12.3 AI for Science Midstream Analysis
  • 12.4 AI for Science Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    According to our latest research, the global AI for Science market size will reach USD 20750 million in 2031, growing at a CAGR of 28.2% over the analysis period.
    AI for Science (AI4Science) refers to the application of artificial intelligence (AI) and machine learning (ML) to accelerate scientific discovery, optimize experiments, and solve complex problems in fields like physics, chemistry, biology, and materials science. It combines data-driven modeling with domain knowledge to push the boundaries of research.

    This report is a detailed and comprehensive analysis for global AI for Science 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 2025, are provided.
    Key Features:
    Global AI for Science market size and forecasts, in consumption value ($ Million), 2020-2031
    Global AI for Science market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
    Global AI for Science market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
    Global AI for Science market shares of main players, in revenue ($ Million), 2020-2025
    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 for Science
    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 for Science 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, OpenAI, IBM, Cerebras Systems, Owkin, Schrödinger, BenevolentAI, SandboxAQ, NVIDIA, XtalPi, etc.
    This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
    Market segmentation
    AI for Science market is split by Type and by Application. For the period 2020-2031, 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
    Closed-loop AI
    Human-in-the-loop AI
    Market segment by Application
    Biological and Pharmaceutical
    Industrial Manufacturing
    Material
    Others
    Market segment by players, this report covers
    Google DeepMind
    OpenAI
    IBM
    Cerebras Systems
    Owkin
    Schrödinger
    BenevolentAI
    SandboxAQ
    NVIDIA
    XtalPi
    DP Technology
    Altair
    Westlake Omics
    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 for Science product scope, market overview, market estimation caveats and base year.
    Chapter 2, to profile the top players of AI for Science, with revenue, gross margin, and global market share of AI for Science from 2020 to 2025.
    Chapter 3, the AI for Science 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 2020 to 2031
    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 2020 to 2025.and AI for Science market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
    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 for Science.
    Chapter 13, to describe AI for Science research findings and conclusion.

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