Artificial Intelligence (AI) in Materials Discovery Market is Expected to Experience Steady Growth with a

The Business Research Company’s Artificial Intelligence (AI) in Materials Discovery Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035

LONDON, GREATER LONDON, UNITED KINGDOM, October 16, 2026 /EINPresswire.com/ -- The Artificial Intelligence (AI) in Materials Discovery market is growing quickly as AI changes how new materials are developed and brought to market. As AI tools become more widely used in scientific research, the market is expected to grow strongly. This growth is driven by better computing technology and rising demand from different industries. The following sections explain the market's size, leading regions, main segments, growth drivers, major companies, and new trends.

Market Size and Its Relation to the Larger Materials and Chemicals Industries
The Artificial Intelligence (AI) in Materials Discovery market is expected to exceed $3 billion by 2030. It is part of the larger Advanced Materials market, which is estimated to reach about $133 billion that year. AI in materials discovery would make up roughly 2% of that larger market. The wider Chemicals industry is expected to reach $7,007 billion by 2030. Compared with this industry, AI in materials discovery would account for nearly 0.04% of total market value. This shows that the market is growing but remains a small part of the wider industry.

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North America's Dominance in AI-Driven Materials Discovery by 2030
North America is expected to be the leading region in the Artificial Intelligence (AI) in Materials Discovery market by 2030, with an estimated market value of $0.9 billion. This is an increase from $0.3 billion in 2025, representing a compound annual growth rate (CAGR) of 29%. The region benefits from having many leading AI technology companies, advanced research facilities, and strong investment from governments and businesses in computer-based materials science. Cooperation among universities, national laboratories, and companies also supports growth. Demand for advanced materials used in clean energy, aerospace, and semiconductors is another important factor.

The United States as the Largest Country-Level Contributor to Market Growth
The USA is expected to have the largest share of the global Artificial Intelligence (AI) in Materials Discovery market by 2030, with a value of $0.8 billion. The market is forecast to grow from $0.2 billion in 2025 at a CAGR of 29%. Growth is supported by major funding for AI-based scientific research, widespread use of powerful computing systems, and the growing availability of AI materials discovery platforms from startups and established companies. Industries also want to develop sustainable, high-performance materials more quickly. Strategic partnerships and ongoing innovation are helping the market grow.

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Software Segment to Lead in the Artificial Intelligence in Materials Discovery Market by 2030
Software is expected to be the largest segment of the Artificial Intelligence (AI) in Materials Discovery market by 2030, accounting for 60% of the market, or $2 billion. This leading position is linked to the widespread use of AI tools that model and simulate materials, the growing use of cloud-based systems for organizing materials data, and the increased use of tools that predict results in research. Automated data management and visualization tools also help researchers test and improve materials more quickly, making it possible to bring new materials to market sooner.

Key Market Segments by Material Type, Technology, Deployment, and End-User
The market covers different types of materials, including polymers, metals and alloys, ceramics, composites, nanomaterials, and semiconductors. The technologies include machine learning, deep learning, generative artificial intelligence, and natural language processing. Systems can be installed and run on a company's own computers, hosted in the cloud, or use a combination of both approaches. End-users include chemical companies, pharmaceutical firms, research institutions, manufacturers, and other organizations that use AI to discover materials.

Consistent 29% CAGR Expected Through to 2030
The Artificial Intelligence (AI) in Materials Discovery market is forecast to grow at a steady compound annual growth rate (CAGR) of 29% through 2030. This reflects strong and continued interest from different industries and ongoing improvements in technology.

Factors Propelling Market Expansion in AI-Driven Materials Discovery
One major reason for market growth is the rising need to develop materials faster. Organizations are using AI-powered platforms to shorten the time needed to design materials, improve the accuracy of predictions, and quickly find high-performance compounds that can be used in products. Traditional experiments can take a long time and use many resources. AI-based virtual tests and computer simulations can speed up the process of checking materials and improve research productivity across several industries. This shift is expected to add about 2.5% to annual market growth.

Another important factor is increased investment in research on sustainable materials. Governments and private companies are putting more money into materials that are better for the environment, reduce carbon emissions, and support manufacturing that reuses resources. AI helps researchers study complex chemical data more efficiently and find promising sustainable materials, including recyclable components, advanced batteries, and materials that use fewer resources in manufacturing. These efforts are expected to add about 2.0% to annual market growth.

Growth in pharmaceutical and healthcare research is also important. AI is increasingly being used to discover new biomaterials, improve molecular structures, and support the development of treatments designed for specific needs. Computer-based tools help researchers choose materials for medical devices, drug delivery, tissue engineering, and diagnostic tests. More biomedical research and investment in life sciences are increasing demand for AI-assisted discovery tools. This is expected to add around 1.1% to annual market growth.

Significant Growth Prospects in Software, Hardware, and Services Markets
The software, hardware, and services segments offer some of the best growth opportunities in the AI in materials discovery market. Together, these areas are projected to generate more than $1.8 billion by 2030. Growth is expected to come from wider use of AI-powered platforms, more powerful computing systems, and greater demand for cloud-based research tools. Research laboratories in industry are also becoming more digital, while better prediction models support further progress. These changes are helping companies develop new materials faster, improve research efficiency, and shorten development times.

From 2025 to 2030, the software segment is expected to grow by $1 billion, services by $0.5 billion, and hardware by $0.3 billion. The market includes AI software developers, computer-based materials science companies, cloud service providers, and companies that supply scientific research platforms. Important areas include using machine learning to model molecules, testing many materials quickly, designing materials with generative AI, predicting material properties, and improving simulations with AI. These tools aim to speed up the development of next-generation materials while supporting sustainable development.

Market Leadership and Competitive Landscape Overview
In 2025, Schrödinger Inc. leads the market with a 1% share. Its position is supported by its AI-based computational chemistry and molecular simulation platform. The company's advanced models, which use the laws of physics, and its ability to predict results help researchers develop materials faster and improve research processes across different industries and scientific fields.

Other major players in the Artificial Intelligence (AI) in Materials Discovery market include Dassault Systèmes, Citrine Informatics Inc., CuspAI, QuesTek Innovations, Iktos SA, Atinary Technologies GmbH, Kebotix Inc., Aionics Inc., Materials Zone Ltd., Intellegens, Toyota Research Institute, IBM, Exabyte.io, Enthought Inc., Google LLC, Polymerize AG, Polaron Analytics, Phaseshift Technologies, and Microsoft Corporation.

Market Fragmentation and the Role of Leading Companies
The AI in materials discovery market is spread across many companies. The top 10 companies together held about 5% of total revenue in 2025. This reflects the market's changing technology and the specialized knowledge needed to develop AI algorithms, use computer-based materials science, manage proprietary data, and connect tools to powerful computing systems. Companies such as Schrödinger Inc., Dassault Systèmes, and Citrine Informatics hold notable shares through their AI-powered discovery platforms, partnerships, and software designed for specific fields. As demand grows for faster materials development, digital research processes, and sustainable solutions, these companies are expected to strengthen their positions by improving their platforms and building more partnerships.

Key Raw Material Suppliers Powering the AI in Materials Discovery Market
Important suppliers of the computing technology and infrastructure needed by this market include semiconductor and cloud infrastructure companies such as Advanced Micro Devices, Intel Corporation, Taiwan Semiconductor Manufacturing Company, Samsung Electronics, SK hynix, Micron Technology, Broadcom Inc., Marvell Technology, Qualcomm Incorporated, Synopsys Inc., Cadence Design Systems, Ansys Inc., Amazon Web Services, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, Dell Technologies, Hewlett Packard Enterprise, and Lenovo Group.

Major Wholesalers and Distributors Serving the Market
Major wholesalers and distributors supporting the AI in materials discovery market include TD SYNNEX, Ingram Micro, Arrow Electronics, Avnet Inc., Redington Limited, Westcon-Comstor, Exclusive Networks, Crayon Group, Insight Enterprises, CDW Corporation, SHI International, Computacenter plc, Softchoice Corporation, Bechtle AG, Carahsoft Technology, ePlus Inc., Presidio Inc., Bytes Technology Group, and SoftwareONE.

Dominant End-Users Benefiting from AI in Materials Discovery
Important end-users include major companies across several industries, such as BASF SE, Dow Inc., Evonik Industries, Covestro AG, 3M Company, LG Chem, Sumitomo Chemical, Mitsubishi Chemical Group, Bayer AG, Johnson Matthey, Toyota Motor Corporation, Airbus SE, Pfizer Inc., Roche Holding AG, Merck KGaA, Novo Nordisk, Siemens Energy, Umicore, Albemarle Corporation, and Saint-Gobain.

Competitive Trends Transforming the Market
AI-powered collaboration is changing the market by helping companies develop materials faster, shorten research periods, and make decisions based on data. For example, in June 2025, Hyundai Motor Group partnered with CuspAI to speed up AI-based materials discovery for future mobility solutions. CuspAI's proprietary generative AI platform combines a materials search engine, data-based simulations, and machine learning models. These tools aim to reduce development costs and help create sustainable, high-performance materials for future automotive uses.

Strategies Companies Employ to Maintain Market Leadership
Leading companies use several advanced strategies to remain competitive. These include using generative AI to design new materials quickly, using automated laboratory systems to make experiments more efficient, developing foundation models that better predict molecular properties, providing cloud-based materials data tools for collaborative research, and combining AI with quantum computing to improve complex materials simulations.

Summary
The Artificial Intelligence (AI) in Materials Discovery market is expected to grow quickly because of technological progress, greater investment in sustainable materials, and rising demand from pharmaceutical and industrial companies. North America, especially the USA, is expected to lead the growth because of its strong research systems and business activity. Software is expected to be the largest market segment, supported by hardware and services. The market includes many different companies, which are focusing on AI-based modeling, large-scale material testing, and collaborative platforms to speed up the development of next-generation materials. As the market develops, partnerships, advanced computing technology, and research focused on sustainability are expected to shape its future and create opportunities for businesses across materials science and the chemicals industry.

The 2026 edition of the company's market reports includes more detailed analysis. New features include market attractiveness scores and analysis, total addressable market (TAM) analysis, company scoring matrix graphics and tables, forecasting dashboards in Excel, infographics showing key market hotspots, analysis of important technologies and future trends, and updated graphics and tables.

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