AI for Science Market Size(US$)

CAGR 2025-2031
28.9%
Market Size,2031
USD 20,810
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI for Science market is projected to grow from US$ 4538 million in 2025 to US$ 20810 million by 2031, at a Compound Annual Growth Rate (CAGR) of 28.9% during the forecast 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.
The US & Canada market for AI for Science is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The China market for AI for Science is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The Europe market for AI for Science is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global key manufacturers of AI for Science include Google DeepMind, OpenAI, IBM, Cerebras Systems, Owkin, Schrödinger, BenevolentAI, SandboxAQ, NVIDIA, XtalPi, etc. In 2024, the global top five players had a share approximately % in terms of revenue.
In terms of production side, this report researches the AI for Science production, growth rate, market share by manufacturers and by region (region level and country level), from 2020 to 2025, and forecast to 2031.
In terms of consumption side, this report focuses on the sales of AI for Science by region (region level and country level), by company, by Type and by Application. from 2020 to 2025 and forecast to 2031.
This report presents an overview of global market for AI for Science, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2020 - 2025, estimates for 2025, and projections of CAGR through 2031.
This report researches the key producers of AI for Science, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for AI for Science, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI for Science sales, revenue, market share and industry ranking of main manufacturers, data from 2020 to 2025. Identification of the major stakeholders in the global AI for Science market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2020 to 2031. Evaluation and forecast the market size for AI for Science sales, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Google DeepMind, OpenAI, IBM, Cerebras Systems, Owkin, Schrödinger, BenevolentAI, SandboxAQ, NVIDIA, XtalPi, etc.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: AI for Science production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production, and development potential of each producer in the next six years.
Chapter 3: Sales (consumption), revenue of AI for Science in global, 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 4: Detailed analysis of AI for Science manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by Type, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by Application, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: North America (US & Canada) by Type, by Application and by country, sales, and revenue for each segment.
Chapter 8: Europe by Type, by Application and by country, sales, and revenue for each segment.
Chapter 9: China by Type, and by Application, sales, and revenue for each segment.
Chapter 10: Asia (excluding China) by Type, by Application and by region, sales, and revenue for each segment.
Chapter 11: Middle East, Africa, Latin America by Type, by Application and by country, sales, and revenue for each segment.
Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI for Science sales, revenue, price, gross margin, and recent development, etc.
Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.
Chapter 14: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 15: The main points and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
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All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI for Science Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Closed-loop AI
1.2.3 Human-in-the-loop AI
1.3 Market by Application
1.3.1 Global AI for Science Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Biological and Pharmaceutical
1.3.3 Industrial Manufacturing
1.3.4 Material
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI for Science Market Perspective (2020-2031)
2.2 Global AI for Science Growth Trends by Region
2.2.1 Global AI for Science Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI for Science Market Size by Region (2020-2031)
2.3 AI for Science Market Dynamics
2.3.1 AI for Science Industry Trends
2.3.2 AI for Science Market Drivers
2.3.3 AI for Science Market Challenges
2.3.4 AI for Science Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue AI for Science by Players
3.1.1 Global AI for Science Revenue by Players (2020-2025)
3.1.2 Global AI for Science Revenue Market Share by Players (2020-2025)
3.2 Global AI for Science Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of AI for Science, Ranking by Revenue, 2023 VS 2024 VS 2025
3.4 Global Market Concentration Ratio
3.4.1 Global AI for Science Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI for Science Revenue in 2024
3.5 Global Key Players of AI for Science Head office and Area Served
3.6 Global Key Players of AI for Science, Product and Application
3.7 Global Key Players of AI for Science, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type
4.1 Global AI for Science Historic Market Size by Type (2020-2025)
4.2 Global AI for Science Forecasted Market Size by Type (2026-2031)
5 Breakdown Data by Application
5.1 Global AI for Science Historic Market Size by Application (2020-2025)
5.2 Global AI for Science Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI for Science Market Size (2020-2031)
6.2 North America Market Size by Type
6.2.1 North America AI for Science Market Size by Type (2020-2031)
6.2.2 North America AI for Science Market Share by Type (2020-2031)
6.3 North America Market Size by Application
6.3.1 North America AI for Science Market Size by Application (2020-2031)
6.3.2 North America AI for Science Market Share by Application (2020-2031)
6.4 North America Market Size by Country
6.4.1 North America AI for Science Market Size by Country: 2020 VS 2024 VS 2031
6.4.2 North America AI for Science Market Size by Country (2020-2031)
6.4.3 United States
6.4.4 Canada
7 Europe
7.1 Europe AI for Science Market Size (2020-2031)
7.2 Europe Market Size by Type
7.2.1 Europe AI for Science Market Size by Type (2020-2031)
7.2.2 Europe AI for Science Market Share by Type (2020-2031)
7.3 Europe Market Size by Application
7.3.1 Europe AI for Science Market Size by Application (2020-2031)
7.3.2 Europe AI for Science Market Share by Application (2020-2031)
7.4 Europe Market Size by Country
7.4.1 Europe AI for Science Market Size by Country: 2020 VS 2024 VS 2031
7.4.2 Europe AI for Science Market Size by Country (2020-2025)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China AI for Science Market Size (2020-2031)
8.2 China Market Size by Type
8.2.1 China AI for Science Market Size by Type (2020-2031)
8.2.2 China AI for Science Market Share by Type (2020-2031)
8.3 China Market Size by Application
8.3.1 China AI for Science Market Size by Application (2020-2031)
8.3.2 China AI for Science Market Share by Application (2020-2031)
9 Asia (excluding China)
9.1 Asia AI for Science Market Size (2020-2031)
9.2 Asia Market Size by Type
9.2.1 Asia AI for Science Market Size by Type (2020-2031)
9.2.2 Asia AI for Science Market Share by Type (2020-2031)
9.3 Asia Market Size by Application
9.3.1 Asia AI for Science Market Size by Application (2020-2031)
9.3.2 Asia AI for Science Market Share by Application (2020-2031)
9.4 Asia Market Size by Region
9.4.1 Asia AI for Science Market Size by Region: 2020 VS 2024 VS 2031
9.4.2 Asia AI for Science Market Size by Region (2020-2031)
9.4.3 Japan
9.4.4 South Korea
9.4.5 China Taiwan
9.4.6 Southeast Asia
9.4.7 India
9.4.8 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America AI for Science Market Size (2020-2031)
10.2 Middle East, Africa, and Latin America Market Size by Type
10.2.1 Middle East, Africa, and Latin America AI for Science Market Size by Type (2020-2031)
10.2.2 Middle East, Africa, and Latin America AI for Science Market Share by Type (2020-2031)
10.3 Middle East, Africa, and Latin America Market Size by Application
10.3.1 Middle East, Africa, and Latin America AI for Science Market Size by Application (2020-2031)
10.3.2 Middle East, Africa, and Latin America Market Share by Application (2020-2031)
10.4 Middle East, Africa, and Latin America Market Size by Country
10.4.1 Middle East, Africa, and Latin America AI for Science Market Size by Country: 2020 VS 2024 VS 2031
10.4.2 Middle East, Africa, and Latin America AI for Science Market Size by Country (2020-2031)
10.4.3 Brazil
10.4.4 Mexico
10.4.5 Turkey
10.4.6 Saudi Arabia
10.4.7 Israel
10.4.8 GCC Countries
11 Key Players Profiles
11.1 Google DeepMind
11.1.1 Google DeepMind Company Details
11.1.2 Google DeepMind Business Overview
11.1.3 Google DeepMind AI for Science Introduction
11.1.4 Google DeepMind Revenue in AI for Science Business (2020-2025)
11.1.5 Google DeepMind Recent Development
11.2 OpenAI
11.2.1 OpenAI Company Details
11.2.2 OpenAI Business Overview
11.2.3 OpenAI AI for Science Introduction
11.2.4 OpenAI Revenue in AI for Science Business (2020-2025)
11.2.5 OpenAI Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM AI for Science Introduction
11.3.4 IBM Revenue in AI for Science Business (2020-2025)
11.3.5 IBM Recent Development
11.4 Cerebras Systems
11.4.1 Cerebras Systems Company Details
11.4.2 Cerebras Systems Business Overview
11.4.3 Cerebras Systems AI for Science Introduction
11.4.4 Cerebras Systems Revenue in AI for Science Business (2020-2025)
11.4.5 Cerebras Systems Recent Development
11.5 Owkin
11.5.1 Owkin Company Details
11.5.2 Owkin Business Overview
11.5.3 Owkin AI for Science Introduction
11.5.4 Owkin Revenue in AI for Science Business (2020-2025)
11.5.5 Owkin Recent Development
11.6 Schrödinger
11.6.1 Schrödinger Company Details
11.6.2 Schrödinger Business Overview
11.6.3 Schrödinger AI for Science Introduction
11.6.4 Schrödinger Revenue in AI for Science Business (2020-2025)
11.6.5 Schrödinger Recent Development
11.7 BenevolentAI
11.7.1 BenevolentAI Company Details
11.7.2 BenevolentAI Business Overview
11.7.3 BenevolentAI AI for Science Introduction
11.7.4 BenevolentAI Revenue in AI for Science Business (2020-2025)
11.7.5 BenevolentAI Recent Development
11.8 SandboxAQ
11.8.1 SandboxAQ Company Details
11.8.2 SandboxAQ Business Overview
11.8.3 SandboxAQ AI for Science Introduction
11.8.4 SandboxAQ Revenue in AI for Science Business (2020-2025)
11.8.5 SandboxAQ Recent Development
11.9 NVIDIA
11.9.1 NVIDIA Company Details
11.9.2 NVIDIA Business Overview
11.9.3 NVIDIA AI for Science Introduction
11.9.4 NVIDIA Revenue in AI for Science Business (2020-2025)
11.9.5 NVIDIA Recent Development
11.10 XtalPi
11.10.1 XtalPi Company Details
11.10.2 XtalPi Business Overview
11.10.3 XtalPi AI for Science Introduction
11.10.4 XtalPi Revenue in AI for Science Business (2020-2025)
11.10.5 XtalPi Recent Development
11.11 DP Technology
11.11.1 DP Technology Company Details
11.11.2 DP Technology Business Overview
11.11.3 DP Technology AI for Science Introduction
11.11.4 DP Technology Revenue in AI for Science Business (2020-2025)
11.11.5 DP Technology Recent Development
11.12 Altair
11.12.1 Altair Company Details
11.12.2 Altair Business Overview
11.12.3 Altair AI for Science Introduction
11.12.4 Altair Revenue in AI for Science Business (2020-2025)
11.12.5 Altair Recent Development
11.13 Westlake Omics
11.13.1 Westlake Omics Company Details
11.13.2 Westlake Omics Business Overview
11.13.3 Westlake Omics AI for Science Introduction
11.13.4 Westlake Omics Revenue in AI for Science Business (2020-2025)
11.13.5 Westlake Omics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
MARKET SEGMENTATION
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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