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 market for AI for Science was estimated to be worth US$ 3268 million in 2024 and is forecast to a readjusted size of US$ 20810 million by 2031 with a CAGR of 28.9% during the forecast period 2025-2031.
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.
North American market for AI for Science was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI for Science was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Europe market for AI for Science was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global key companies of AI for Science include Google DeepMind, OpenAI, IBM, Cerebras Systems, Owkin, Schrödinger, BenevolentAI, SandboxAQ, NVIDIA, XtalPi, etc. In 2024, the global five largest players hold a share approximately % in terms of revenue.
This report aims to provide a comprehensive presentation of the global market for AI for Science, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI for Science by region & country, by Type, and by Application.
The AI for Science market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI for Science.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of AI for Science company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of AI for Science in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI for Science in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
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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 (2020-2031)
1.3 AI for Science Market Trends & Drivers
1.3.1 AI for Science Industry Trends
1.3.2 AI for Science Market Drivers & Opportunity
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 (2024)
2.2 Global AI for Science Revenue by Company (2020-2025)
2.3 Key Companies AI for Science Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI for Science Product Offered
2.5 Key Companies Time to Begin Mass Production of AI for Science
2.6 AI for Science Market Competitive Analysis
2.6.1 AI for Science Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by AI for Science Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI for Science as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Closed-loop AI
3.1.2 Human-in-the-loop AI
3.2 Global AI for Science Sales Value by Type
3.2.1 Global AI for Science Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI for Science Sales Value, by Type (2020-2031)
3.2.3 Global AI for Science Sales Value, by Type (%) (2020-2031)
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 (2020 VS 2024 VS 2031)
4.2.2 Global AI for Science Sales Value, by Application (2020-2031)
4.2.3 Global AI for Science Sales Value, by Application (%) (2020-2031)
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: 2020 VS 2024 VS 2031
5.1.2 Global AI for Science Sales Value by Region (2020-2025)
5.1.3 Global AI for Science Sales Value by Region (2026-2031)
5.1.4 Global AI for Science Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America AI for Science Sales Value, 2020-2031
5.2.2 North America AI for Science Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe AI for Science Sales Value, 2020-2031
5.3.2 Europe AI for Science Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific AI for Science Sales Value, 2020-2031
5.4.2 Asia Pacific AI for Science Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America AI for Science Sales Value, 2020-2031
5.5.2 South America AI for Science Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI for Science Sales Value, 2020-2031
5.6.2 Middle East & Africa AI for Science Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI for Science Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI for Science Sales Value, 2020-2031
6.3 United States
6.3.1 United States AI for Science Sales Value, 2020-2031
6.3.2 United States AI for Science Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI for Science Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI for Science Sales Value, 2020-2031
6.4.2 Europe AI for Science Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI for Science Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI for Science Sales Value, 2020-2031
6.5.2 China AI for Science Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI for Science Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI for Science Sales Value, 2020-2031
6.6.2 Japan AI for Science Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI for Science Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI for Science Sales Value, 2020-2031
6.7.2 South Korea AI for Science Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI for Science Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI for Science Sales Value, 2020-2031
6.8.2 Southeast Asia AI for Science Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI for Science Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI for Science Sales Value, 2020-2031
6.9.2 India AI for Science Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI for Science Sales Value by Application, 2024 VS 2031
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
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) & (2020-2025)
7.13.5 Westlake Omics Recent Developments
8 Industry Chain Analysis
8.1 AI for Science Industrial Chain
8.2 AI for Science Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI for Science Sales Model
8.5.2 Sales Channel
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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