PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 2073695
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 2073695
AI in Materials Discovery Market size was valued at US$ 12,908.7 Million in 2025, expanding at a CAGR of 35.8% from 2026 to 2033.
The term AI in Materials Discovery can be defined as a set of methods that involve the use of machine learning, deep learning, and computer simulation in order to discover properties of certain materials, process large amounts of chemical data, and generate materials with desired properties. It is characterized by the use of a traditional trial-and-error approach together with computer modeling, which significantly reduces the cycle time from years to months. AI technologies revolutionize the field of materials science and facilitate fast discovery of material candidates, their optimization, and experimentation through data analysis. Thus, these features provide fast innovation, reduction of R&D costs, and scaling up of materials design and production.
AI in Materials Discovery Market- Market Dynamics
Rise of AI Material Discovery Platforms Driving Market Growth
The main reason for growth in AI in the materials discovery market is the adoption of AI-based material discovery platforms. These AI platforms help in faster and accurate material discovery due to the analysis of big data, shortened research periods, higher prediction capabilities, and lower material development costs. For instance, according to the American Chemical Society Org, the growing use of AI material discovery platforms is changing the face of materials research by allowing scientists to screen millions of materials virtually, thus reducing the need for time-consuming trial-and-error processes. The report notes that the use of AI material discovery platforms that combine machine learning, high-throughput screening, and large databases of materials facilitates faster discovery of novel materials for various uses, including batteries, semiconductors, catalysts, and renewable energy applications. Thus, AI adoption accelerates innovation, cuts costs, and drives market growth.
The Global AI in Materials Discovery Market is segmented on the basis of Offering, Material Type, Technology, Deployment Mode, End User, and Region.
In terms of offering, software holds a prominent share, as it helps in building AI models, screening materials using high-throughput techniques, simulation, prediction, and analysis of data, which helps in discovering and optimizing materials. For instance, in April 2026, according to Eurostat, 19.95% of EU companies having 10 or more employees used artificial intelligence technologies. This indicates that there is an increased adoption of AI software in business processes. It is clear from the statistics provided that 55.03% of big firms, 30.36% of medium-sized enterprises, and 17.0% of small enterprises used AI software, which was mostly based on analysis of written language. Therefore, rising enterprise adoption of AI software will strengthen the software segment's dominance.
AI in Materials Discovery Market- Geographical Insights
The share of the market was significant in North America due to the advanced research infrastructure, leading technology companies, and collaborations between research institutes and the industry in the region. For instance, in November 2025, Canada's Digital Research Infrastructure Strategy helps improve the country's advanced research infrastructure with the USD 418 million federal funding aimed at improving advanced research computing, research software, data management, and high-speed research networks. In particular, it involves a USD 274 million investment in establishing a national digital research infrastructure organization, a USD 37 million investment in expanding advanced research computing at five national host sites, and improving the research network and cybersecurity in the country. Thus, continued investments in digital infrastructure will accelerate AI materials discovery and North American growth.
USA AI in Materials Discovery Market- Country Insights
The USA will continue to have a dominant position in the AI in Materials Discovery market due to huge investments in research and development along with a robust innovation ecosystem. For instance, in 2025, according to the World Intellectual Property Organization, the US was placed 3rd among 139 economies on the Global Innovation Index, indicating the presence of a vibrant, innovative business environment in the country. The country was 1st in North America; the US had 22 top science and technology clusters in the world and rose to 3rd position in terms of innovation output. Thus, innovations and research superiority will spur growth in the market.
The Artificial Intelligence in Material Discovery market experiences high levels of competition due to continuous innovations within AI technology and partnerships. The key players in the market include Google LLC, Microsoft Corporation, BASF SE, International Business Machines Corp., and Dassault Systemes, who continue developing their positions in the market through advanced AI and simulation used in material discovery and conducting joint research. In February 2025, the company International Business Machines (IBM) acquired HashiCorp for USD 6,400 million. Through the deal, IBM has strengthened its hybrid cloud and AI automation capabilities and sped up the implementation of AI-powered research workflows, including materials discovery solutions. As a result, the market might become even more competitive and dynamic due to the investments and acquisitions in AI.
In May 2025, Microsoft launched Microsoft Discovery, an enterprise AI platform that uses agentic AI to accelerate research, simulation, and materials innovation across scientific industries. The platform enabled researchers to automate complex R&D workflows, improving innovation speed and strengthening Microsoft's AI ecosystem for materials discovery.