PUBLISHER: Polaris Market Research | PRODUCT CODE: 1831623
PUBLISHER: Polaris Market Research | PRODUCT CODE: 1831623
The global quantum-enhanced materials informatics market size is expected to reach USD 21.81 billion by 2034, according to a new study by Polaris Market Research. The report "Quantum-Enhanced Materials Informatics Market Size, Share, Trends, Industry Analysis Report By Material Type (Nanomaterials, Semiconductors, Energy Materials, Pharmaceuticals/Small Molecules), By Technology, By Application, By Region - Market Forecast, 2025-2034" gives a detailed insight into current market dynamics and provides analysis on future market growth.
Quantum-enhanced materials informatics is a field that uses a combination of quantum computing and classical computing methods, such as machine learning and deep learning, to speed up the discovery and development of new materials. It is a data-driven approach that helps scientists analyze and understand the properties of materials at a very deep level. By using the power of these advanced technologies, researchers can simulate molecular and atomic interactions with greater accuracy. This helps in predicting how a material will behave before it is even created in a lab. This process significantly cuts down on the time and money traditionally needed for materials research and development.
The market for quantum-enhanced materials informatics is driven by the growing need for new and better materials across many industries. From creating lighter and stronger materials for aerospace to developing more efficient semiconductors for electronics, the demand is high. The market is also seeing a lot of new developments as quantum computing technology becomes more accessible. As companies and governments invest more in this field, the use of these advanced tools for things such as drug discovery and designing new batteries is becoming more common. The market outlook is positive, with a lot of potential for growth as these technologies mature and find more practical applications.
By material type, the semiconductors segment held the largest share in 2024. This is because of the high and constant demand from the electronics industry for faster, smaller, and more efficient components. It drives the need for new materials that can be developed quickly using these advanced informatics tools.
Based on technology, the machine learning and deep learning segment held the largest share in 2024. Its leading position is due to its maturity, widespread adoption, and accessibility. It allows companies to analyze large datasets and make predictions for materials discovery more efficiently.
In terms of application, the quantum materials discovery segment held the largest share in 2024. This is because it addresses the core need of multiple industries to find and develop new materials with specific properties. The use of quantum-enhanced methods provides the accuracy required for this fundamental process.
By region, North America leads the quantum-enhanced materials informatics market. The region's dominance is supported by a robust ecosystem of research institutions, technology companies, and substantial funding from both public and private sectors. These factors contribute to high rates of innovation and earl y adoption of materials informatics solutions. The Asia Pacific is showing a lot of promise and is expected to grow very quickly. This is due to rapid industrialization, large investments in technology, and a huge manufacturing sector.
A few key players in the quantum-enhanced materials informatics market include Schrodinger, Inc.; Dassault Systemes SE; Citrine Informatics, Inc.; Kebotix, Inc.; Materials Design, Inc.; Hitachi High-Tech Corporation; Mat3ra; and Materials Zone, Inc.
Polaris Market Research has segmented the quantum-enhanced materials informatics market report based on material type, technology, application, and region:
By Material Type Outlook (Revenue - USD Billion, 2020-2034)
Nanomaterials
Semiconductors
Energy Materials
Pharmaceuticals/Small Molecules
By Technology Outlook (Revenue - USD Billion, 2020-2034)
Machine Learning & Deep Learning
Quantum Computing Platforms for Materials Science
High-Throughput Screening
Density Functional Theory (DFT)
Quantum Chemistry Simulations
Generative AI
By Application Outlook (Revenue - USD Billion, 2020-2034)
Quantum-Assisted Molecular Simulation
Quantum Materials Discovery
Reaction Pathway Prediction
Quantum Mechanics-Informed Materials Design
Energy Optimization
By Regional Outlook (Revenue - USD Billion, 2020-2034)
North America
U.S.
Canada
Europe
Germany
France
UK
Italy
Spain
Netherlands
Russia
Rest of Europe
Asia Pacific
China
Japan
India
Malaysia
South Korea
Indonesia
Australia
Vietnam
Rest of Asia Pacific
Middle East & Africa
Saudi Arabia
UAE
Israel
South Africa
Rest of Middle East & Africa
Latin America
Mexico
Brazil
Argentina
Rest of Latin America