AI for Science Market Size(US$)

CAGR 2026-2032
28.9%
Market Size,2032
USD 26,230
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for AI for Science was estimated to be worth US$ 4538 million in 2025 and is projected to reach US$ 26230 million, growing at a CAGR of 28.9% from 2026 to 2032.
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 North American market for AI for Science was valued at US$ million in 2025 and is projected to reach US$ million by 2032, at a CAGR of % from 2026 to 2032.
The Asia-Pacific market for AI for Science was valued at $ million in 2025 and is projected to climb to US$ million by 2032, at a CAGR of % from 2026 to 2032.
The European market for AI for Science was valued at $ million in 2025 and is projected to total US$ million by 2032, at a CAGR of % from 2026 to 2032.
The global key companies in the AI for Science market include Google DeepMind, OpenAI, IBM, Cerebras Systems, Owkin, Schrödinger, BenevolentAI, SandboxAQ, NVIDIA, XtalPi, etc. In 2025, the five largest players accounted for approximately % of revenue.
This report provides a comprehensive view of the global market for AI for Science, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The AI for Science market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding AI for Science.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the AI for Science companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents AI for Science revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents AI for Science revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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:
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TABLE OF CONTENTS
1 Market Overview
1.1 AI for Science Product Introduction
1.2 Global AI for Science Market Size Forecast (2021–2032)
1.3 AI for Science Market Trends & Drivers
1.3.1 AI for Science Industry Trends
1.3.2 AI for Science Market Drivers & Opportunities
1.3.3 AI for Science Market Challenges
1.3.4 AI for Science Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI for Science Players Revenue Ranking (2025)
2.2 Global AI for Science Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies AI for Science Product Offerings
2.5 Key Companies General Availability (GA) Timeline for AI for Science
2.6 AI for Science Market Competitive Analysis
2.6.1 AI for Science Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by AI for Science Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on AI for Science revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation AI for Science Market Classification
3.1 Introduction by Type
3.1.1 Closed-loop AI
3.1.2 Human-in-the-loop AI
3.1.3 Global AI for Science Sales Value by Type
3.1.3.1 Global AI for Science Sales Value by Type (2021 vs 2025 vs 2032)
3.1.3.2 Global AI for Science Sales Value, by Type (2021–2032)
3.1.3.3 Global AI for Science Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Biological and Pharmaceutical
4.1.2 Industrial Manufacturing
4.1.3 Material
4.1.4 Others
4.2 Global AI for Science Sales Value by Application
4.2.1 Global AI for Science Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global AI for Science Sales Value by Application (2021–2032)
4.2.3 Global AI for Science Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global AI for Science Sales Value by Region
5.1.1 Global AI for Science Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global AI for Science Sales Value by Region (2021–2026)
5.1.3 Global AI for Science Sales Value by Region (2027–2032)
5.1.4 Global AI for Science Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America AI for Science Sales Value, 2021–2032
5.2.2 North America AI for Science Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe AI for Science Sales Value, 2021–2032
5.3.2 Europe AI for Science Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific AI for Science Sales Value, 2021–2032
5.4.2 Asia Pacific AI for Science Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America AI for Science Sales Value, 2021–2032
5.5.2 South America AI for Science Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI for Science Sales Value, 2021–2032
5.6.2 Middle East & Africa AI for Science Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI for Science Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions AI for Science Sales Value, 2021–2032
6.3 United States
6.3.1 United States AI for Science Sales Value, 2021–2032
6.3.2 United States AI for Science Sales Value by Type (%), 2025 vs 2032
6.3.3 United States AI for Science Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe AI for Science Sales Value, 2021–2032
6.4.2 Europe AI for Science Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe AI for Science Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China AI for Science Sales Value, 2021–2032
6.5.2 China AI for Science Sales Value by Type (%), 2025 vs 2032
6.5.3 China AI for Science Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan AI for Science Sales Value, 2021–2032
6.6.2 Japan AI for Science Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan AI for Science Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea AI for Science Sales Value, 2021–2032
6.7.2 South Korea AI for Science Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea AI for Science Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia AI for Science Sales Value, 2021–2032
6.8.2 Southeast Asia AI for Science Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia AI for Science Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India AI for Science Sales Value, 2021–2032
6.9.2 India AI for Science Sales Value by Type (%), 2025 vs 2032
6.9.3 India AI for Science Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Google DeepMind
7.1.1 Google DeepMind Profile
7.1.2 Google DeepMind Main Business
7.1.3 Google DeepMind AI for Science Products, Services, and Solutions
7.1.4 Google DeepMind AI for Science Revenue (US$ Million), 2021–2026
7.1.5 Google DeepMind Recent Developments
7.2 OpenAI
7.2.1 OpenAI Profile
7.2.2 OpenAI Main Business
7.2.3 OpenAI AI for Science Products, Services, and Solutions
7.2.4 OpenAI AI for Science Revenue (US$ Million), 2021–2026
7.2.5 OpenAI Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM AI for Science Products, Services, and Solutions
7.3.4 IBM AI for Science Revenue (US$ Million), 2021–2026
7.3.5 IBM Recent Developments
7.4 Cerebras Systems
7.4.1 Cerebras Systems Profile
7.4.2 Cerebras Systems Main Business
7.4.3 Cerebras Systems AI for Science Products, Services, and Solutions
7.4.4 Cerebras Systems AI for Science Revenue (US$ Million), 2021–2026
7.4.5 Cerebras Systems Recent Developments
7.5 Owkin
7.5.1 Owkin Profile
7.5.2 Owkin Main Business
7.5.3 Owkin AI for Science Products, Services, and Solutions
7.5.4 Owkin AI for Science Revenue (US$ Million), 2021–2026
7.5.5 Owkin Recent Developments
7.6 Schrödinger
7.6.1 Schrödinger Profile
7.6.2 Schrödinger Main Business
7.6.3 Schrödinger AI for Science Products, Services, and Solutions
7.6.4 Schrödinger AI for Science Revenue (US$ Million), 2021–2026
7.6.5 Schrödinger Recent Developments
7.7 BenevolentAI
7.7.1 BenevolentAI Profile
7.7.2 BenevolentAI Main Business
7.7.3 BenevolentAI AI for Science Products, Services, and Solutions
7.7.4 BenevolentAI AI for Science Revenue (US$ Million), 2021–2026
7.7.5 BenevolentAI Recent Developments
7.8 SandboxAQ
7.8.1 SandboxAQ Profile
7.8.2 SandboxAQ Main Business
7.8.3 SandboxAQ AI for Science Products, Services, and Solutions
7.8.4 SandboxAQ AI for Science Revenue (US$ Million), 2021–2026
7.8.5 SandboxAQ Recent Developments
7.9 NVIDIA
7.9.1 NVIDIA Profile
7.9.2 NVIDIA Main Business
7.9.3 NVIDIA AI for Science Products, Services, and Solutions
7.9.4 NVIDIA AI for Science Revenue (US$ Million), 2021–2026
7.9.5 NVIDIA Recent Developments
7.10 XtalPi
7.10.1 XtalPi Profile
7.10.2 XtalPi Main Business
7.10.3 XtalPi AI for Science Products, Services, and Solutions
7.10.4 XtalPi AI for Science Revenue (US$ Million), 2021–2026
7.10.5 XtalPi Recent Developments
7.11 DP Technology
7.11.1 DP Technology Profile
7.11.2 DP Technology Main Business
7.11.3 DP Technology AI for Science Products, Services, and Solutions
7.11.4 DP Technology AI for Science Revenue (US$ Million), 2021–2026
7.11.5 DP Technology Recent Developments
7.12 Altair
7.12.1 Altair Profile
7.12.2 Altair Main Business
7.12.3 Altair AI for Science Products, Services, and Solutions
7.12.4 Altair AI for Science Revenue (US$ Million), 2021–2026
7.12.5 Altair Recent Developments
7.13 Westlake Omics
7.13.1 Westlake Omics Profile
7.13.2 Westlake Omics Main Business
7.13.3 Westlake Omics AI for Science Products, Services, and Solutions
7.13.4 Westlake Omics AI for Science Revenue (US$ Million), 2021–2026
7.13.5 Westlake Omics Recent Developments
8 Industry Chain Analysis
8.1 AI for Science Value Chain
8.2 AI for Science Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 AI for Science Sales Model
8.5.2 Sales Channels
8.5.3 AI for Science Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 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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