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 AI for Science market was valued at US$ 4538 million in 2025 and is anticipated to reach US$ 26230 million by 2032, 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 is projected to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The Asia-Pacific market for AI for Science is projected to rise from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The global market for AI for Science in Biological and Pharmaceutical is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 to 2032.
Major global companies of AI for Science include Google DeepMind, OpenAI, IBM, Cerebras Systems, Owkin, Schrödinger, BenevolentAI, SandboxAQ, NVIDIA, XtalPi, etc. In 2025, the world's top three vendors accounted for approximately % of revenue.
This report delivers a comprehensive overview of the global AI for Science market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI for Science. The AI for Science market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global AI for Science market comprehensively. Regional market sizes by Type, by Application, , and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist AI for Science manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, , etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for AI for Science companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings 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.
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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: 2021 vs 2025 vs 2032
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 Growth by Application: 2021 vs 2025 vs 2032
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 (2021–2032)
2.2 Global AI for Science Growth Trends by Region
2.2.1 Global AI for Science Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI for Science Historic Market Size by Region (2021–2026)
2.2.3 AI for Science Forecasted Market Size by Region (2027–2032)
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 Top AI for Science Players by Revenue
3.1.1 Global Top AI for Science Players by Revenue (2021–2026)
3.1.2 Global AI for Science Revenue Market Share by Players (2021–2026)
3.2 Global Top AI for Science Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI for Science Revenue
3.4 Global AI for Science 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 2025
3.5 Global Key Players of AI for Science Head Offices and Areas Served
3.6 Global Key Players of AI for Science, Products and Applications
3.7 Global Key Players of AI for Science, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 AI for Science Breakdown Data by Type
4.1 Global AI for Science Historic Market Size by Type (2021–2026)
4.2 Global AI for Science Forecasted Market Size by Type (2027–2032)
5 AI for Science Breakdown Data by Application
5.1 Global AI for Science Historic Market Size by Application (2021–2026)
5.2 Global AI for Science Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America AI for Science Market Size (2021–2032)
6.2 North America AI for Science Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI for Science Market Size by Country (2021–2026)
6.4 North America AI for Science Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI for Science Market Size (2021–2032)
7.2 Europe AI for Science Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI for Science Market Size by Country (2021–2026)
7.4 Europe AI for Science Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific AI for Science Market Size (2021–2032)
8.2 Asia-Pacific AI for Science Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI for Science Market Size by Region (2021–2026)
8.4 Asia-Pacific AI for Science Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America AI for Science Market Size (2021–2032)
9.2 Latin America AI for Science Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI for Science Market Size by Country (2021–2026)
9.4 Latin America AI for Science Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI for Science Market Size (2021–2032)
10.2 Middle East & Africa AI for Science Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI for Science Market Size by Country (2021–2026)
10.4 Middle East & Africa AI for Science Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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 (2021–2026)
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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