August 2025
The global materials informatics market size was estimated at USD 173.02 million in 2024 and is predicted to increase from USD 208.41 million in 2025 to approximately USD 1,139.45 million by 2034, expanding at a CAGR of 20.80% from 2025 to 2034.
Artificial Intelligence (AI) is transforming how the material informatics industry operates in an effort to empower scientists to discover, evaluate, and manufacture new materials more quickly. AI tools can examine vast quantities of data created from experimentation and anticipate how materials will respond and demonstrate characteristics. Reducing effort and time spent developing updated high-performing materials addresses the materials needs of different industries, including aerospace, automotive, and electronics. For example, instead of running tests of hundreds of combinations in the lab, AI would identify quality examples of the several potential combinations that the human mastery was involved with. Furthermore, companies are now developing materials that are higher performing and safer for the surrounding world. AI identifies patterns we do not notice and allows us to make more intelligent decisions regarding pursuits across research and development of materials. This gives way to potential acceleration in solving real-world problems by leveraging AI technology and material informatics.
The U.S. materials informatics market size was exhibited at USD 57.97 million in 2024 and is projected to be worth around USD 371.74 million by 2034, growing at a CAGR of 20.50% from 2025 to 2034.
U.S.
The U.S. is the leading country in material informatics in the North America region. It has many leading research centers, universities, and technology companies developing new materials. U.S.-based companies are applying AI to develop new materials for batteries, electronics, space, and more. The U.S. government strongly supports the clean energy and advanced manufacturing industries and drives growth in this market. Many of the emerging new startup companies based in the U.S. are building tools and processes, utilizing AI to discover new materials with faster and more affordable methodologies.
North America held the majority of market revenue share in the global material informatics market in the year 2024 because of the increasing investments in the field of material science and analysis along with rising research & development activities across various sectors such as electronics, chemicals, and many others. Further, the region being a technology leader also leads in the implementation of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), big data, and data analytics. Integration of AI, ML, and data science have opened up new paradigm for the future market prospects.
North America
North America is the largest region in the material informatics market because of research and technology support. Many large corporations and universities are using AI to accelerate material development. North America has a healthy funding base for clean energy, aerospace, and healthcare areas where material informatics will play a role. The emphasis on improved materials in more industries for compliance with environmental regulations will fuel demand, and AI will help accelerate that cycle. More start-ups and technology companies developing software and data tools also boost the growing material informatics market. The U.S. government fosters innovation to support the market as well, leading North America in total material informatics sources.
The Asia Pacific emerged as the fastest growing region during the forthcoming years owing to the rapid development across the technology integration sector. AI, ML, and big data are ought to be the fastest growing technologies in the region as well as their penetration in the electronics industry has also created alluring opportunities for the market players during the forecast time frame.
Asia-Pacific
Asia-Pacific is the fastest-growing region for the material informatics market as it has developed industries and a growing population that is utilizing smart devices and electric vehicles. Asia-Pacific is investing in clean energy, advanced electronics, and healthcare. All industries need better and safer materials. Companies are using AI, which speeds up material discovery and testing which saving time and costs. The governments in this region are also helping businesses and industries grow by funding research and development. As more manufacturing takes place in Asia, companies are accelerating their materials development by utilizing AI. The combination of a large population, technology development, and investment makes this a growth-friendly region.
China
China is at the forefront of material informatics within the Asia-Pacific region. The nation has made huge investments in research, smart manufacturing, and AI. All of this investment is being deployed by many Chinese companies to enhance their ability to create better batteries, solar panels, and electronics. Additionally, China is actively working in the area of green energy, which will require new materials that are strong and environmentally sustainable. Partnerships between universities and firms in China are increasing their ability to develop fast AI tools to evaluate new materials. The large number of manufacturing operations within China allows it to capitalize on the opportunity to investigate all material informatics opportunities.
Report Coverage | Details |
Market Size in 2025 | USD 208.41 Million |
Market Size by 2034 | USD 1,139.45 Million |
Market Growth Rate from 2025 to 2034 | CAGR of 20.80% |
Largest Market | North America |
Fastest Growing Market | Asia Pacific |
Base Year | 2024 |
Forecast Period | 2025 to 2034 |
Segments Covered | Material, Technique, and Application |
Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Sustainability and Green Materials
Researchers and engineers are focused on examining enormous volumes of data about the characteristics, functionality, and environmental effects of materials owing to materials informatics. Life cycle assessment (LCA) data can be integrated into materials informatics systems to assess the environmental effects of materials at each stage of their life cycle, including extraction, production, use, and disposal. Based on available data, materials informatics machine learning algorithms and data analytics may predict material properties with high accuracy. Researchers can create materials that are simpler to recycle and reintegrate into the manufacturing cycle, hence lowering waste and resource consumption, by examining the compositions, qualities, and possibilities for recycling of materials. Thereby the emergence of green materials for sustainability causes creates a significant driver for the market.
Cost of Implementation
Software for materials informatics frequently has subscription or license costs. The services provided, the quantity of users, and the length of the subscription can all affect these costs. One major cost component can be obtaining and integrating data from multiple sources, including literature, modeling findings, and experimental data. This covers standardization, normalization, and data cleaning. Whether the company chooses on-premises or cloud-based solutions will determine the infrastructure
expenditures related to networking, storage, and hardware. Material informatics consultants and service providers can assist organizations with strategy formulation, execution, and optimization. The length and scope of the engagement can affect how much consulting services cost.
The materials informatics market is growing with many exciting opportunities over the coming period. The most prominent opportunity in the material informatics market is developing sustainable materials. Many companies want to innovate ways to cut down on waste and pollution by designing materials that are safer for human health and combination with our planet. AI can assist with this, better material faster than traditional means. Another significant opportunity will be research into batteries and electronics. Electric vehicles and smart devices are growing rapidly in use, and therefore, there is a need for powerful, safe, and longer-lasting materials. Healthcare is another area of growth, with applications of AI for the discovery of new medicines and to create materials for instruments for surgical tools and therapy. Materials informatics will also create better materials for lighter and stronger parts for cars and planes, which may be the most efficient form of travel. Companies that invest in AI tools and move to open digital labs will surely lead this shift.
Inorganics materials dominated the global material informatics market with the highest revenue share of approximately 50.48% in the year 2024. Because of their numerous uses in a variety of sectors, including electronics, aerospace, automotive, energy, and healthcare, inorganic materials are important. Databases are created through the collection, curation, and organization of data about inorganic materials, including their properties, synthesis techniques, structures, and performance characteristics. Researchers, engineers, and scientists can obtain information from these databases and use it to inform their material selection and design decisions. When processing data of inorganic materials, machine learning algorithms and predictive modeling approaches are used to find patterns, correlations, and interactions between the attributes, processing conditions, and compositions of the materials. These speeds up the process of finding novel materials by making it possible to predict ones with desirable characteristics.
Inorganic material attributes are predicted using materials informatics techniques based on their chemical makeup, crystal structure, and other pertinent variables. This facilitates focused materials design and optimization by helping to identify materials with certain functionality or performance characteristics. High-throughput testing and computer screening of large material areas are made possible by inorganic materials informatics. Businesses and academic organizations can shorten the time it takes to innovate and create new goods and technologies based on inorganic materials by utilizing materials informatics techniques. This results in lower costs, a quicker time to market, and increased competitiveness across multiple industries.
Materials Informatics Market Revenue, By Materials, 2022 to 2024 (USD Million)
Materials | 2022 | 2023 | 2024 |
Inorganic Materials | 57.38 | 68.99 | 83 |
Organic Materials | 40.55 | 48.35 | 57.68 |
Hybrid Materials | 21.51 | 26.38 | 32.34 |
The chemical industries segment held the largest share of the material informatics market. Chemical industries deal with a wide range of complex materials, including polymers, composites, metals, ceramics, and specialty chemicals. These materials exhibit diverse properties and performance characteristics, making them challenging to design, optimize, and analyze using traditional experimental methods alone. Material informatics offers advanced computational techniques and data-driven approaches to accelerate materials discovery, development, and optimization processes, making it particularly valuable for chemical industries seeking to innovate and stay competitive.
Material informatics provides a fast and economical way to forecast material properties, screen large material libraries, and find interesting candidates for additional experimental validation. The chemical industry must adhere to strict regulations. Chemical industries may evaluate a material's regulatory and environmental effects early in the development process thanks to material informatics, which helps businesses make educated decisions and reduce compliance risks.
Materials Informatics Market Revenue, By Application, 2022 to 2024 (USD Million)
Application | 2022 | 2023 | 2024 |
Chemical Industries (Including Dyes) | 35.17 | 42.58 | 42.58 |
Automotive | 21.07 | 25.30 | 25.30 |
Electronics & Semiconductor | 24.31 | 29.73 | 29.73 |
Aerospace | 8.37 | 9.95 | 9.95 |
Research and Development Agencies | 9.76 | 11.64 | 11.64 |
Others | 20.77 | 24.52 | 24.52 |
The digital annealer segment held the largest share in materials informatics market in 2024. In materials informatics, digital annealing is a state-of-the-art technique that maximizes materials design and discovery procedures by utilizing quantum-inspired computing. In the materials informatics sector, where quick advances in computational approaches are transforming the way new materials are created, tested, and used in a variety of industries, it's especially important. Digital annealing simulates the behavior of atoms and molecules in different configurations, which speeds up the process of finding novel materials with desirable qualities. This facilitates more effective exploration of a large design space by researchers, possibly leading to the discovery of novel materials that would have been missed with conventional techniques.
Conventional experimental methods for developing new materials can be costly and time-consuming. By simulating material behavior in silico, digital annealing greatly lowers the need for trial and error, saving time and resources. Digital annealing makes it possible to create materials with improved performance attributes, including higher strength, conductivity, or thermal resistance, by precisely manipulating material structures at the atomic level. This creates new opportunities for the advancement of next-generation technologies in numerous industries. Large volumes of data about the performance and characteristics of materials are produced by digital annealing. Through the utilization of machine learning and data analytics methodologies, scholars can derive significant understandings from this data to enhance materials design procedures and stimulate creativity.
Materials Informatics Market Revenue, By Technique, 2022 to 2024 (USD Million)
Technique | 2022 | 2023 | 2024 |
Digital Annealer | 29.78 | 35.50 | 42.32 |
Deep Tensor | 19.44 | 23.88 | 29.33 |
Statistical Analysis | 55.63 | 66.73 | 80.08 |
Genetic Algorithm | 14.59 | 17.61 | 21.28 |
Recent Developments
By Material
By Technique
By Application
By Regional Outlook
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