The global materials informatics market size was valued at USD 197.6 million in 2023 and is expected to reach over USD 1,572.93 million by 2033, growing at a CAGR of 23.05% from 2024 and 2033. Materials informatics is a branch of informatics that aims to improve the knowledge, usage, selection, development, and discovery of materials by applying informatics ideas to materials science and engineering. This is a new field with the goal of achieving high-speed and reliable capture, management, analysis, and dissemination of various materials data in order to drastically reduce the time and risk involved in developing, producing, and deploying new materials, which can take more than 20 years.
The global material informatics market is highly competitive and opportunistic but still at its nascent phase. Increasing investment from established as well as startups have accelerated the pace of the market. Further, rising integration of advanced technologies such as machine learning and artificial intelligence anticipated to again drive the market growth at a rapid rate during the forthcoming years.
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The U.S. materials informatics market size was valued at USD 61.5 million in the year 2023 and it is expected to reach around 480.44 million by 2033 and registered at a CAGR of 22.82% during the forecast time period.
Leading Market: North America held the majority of market revenue share in the global material informatics market in the year 2023 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.
Fastest Growing Market: 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.
Some of the major trends and growth factors that govern the market growth of materials informatics are discussed below:
| Report Coverage | Details |
| Market Size in 2023 | USD 197.6 Million |
| Growth Rate from 2024 to 2033 | 23.05% |
| Revenue Projection by 2033 | USD 1,572.93 Million |
| Largest Market | North America |
| Fastest Growing Market | Asia Pacific |
| Base Year | 2023 |
| Forecast Period | 2024 to 2033 |
| Segments Covered | By Material, By Technique, and By Application |
| Companies Mentioned | Exabyte.io, Alpine Electronics Inc., Phaseshift Technologies, Nutonian Inc., Schrodinger, Citrine Informatics, Materials Zone Ltd., BASF, Kebotix, AI Materia |
Driver
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.
Restraint
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.
Opportunity
Predictive Maintenance and Failure Analysis
Predictive maintenance solutions are becoming more and more popular in sectors including industrial, automotive, aerospace, and energy as a way to streamline processes, cut costs, and decrease downtime. As materials informatics advances, so does the capacity to collect and evaluate vast amounts of data about the characteristics, functionality, and behavior of materials. Industries can enhance operational efficiency by proactively identifying weak points in materials and optimizing maintenance schedules through the use of materials informatics solutions for failure analysis. More advanced analysis of materials data is made possible by the combination of machine learning (ML) and artificial intelligence (AI) approaches in materials informatics.
Inorganics materials dominated the global material informatics market with the highest revenue share of approximately 51.06% in the year 2023. 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 By Materials, 2020 to 2023 (USD Million)
| Materials | 2020 | 2021 | 2022 | 2023 |
| Organic Materials | 25.0 | 37.4 | 52.3 | 67.8 |
| Inorganic Materials | 38.1 | 56.7 | 78.5 | 100.9 |
| Hybrid Materials | 9.3 | 14.5 | 21.3 | 29.0 |
The electronics segment the largest share in materials informatics market. Data science, machine learning, and computational methods are used in the quickly expanding field of materials informatics to speed up the discovery, development, and optimization of new materials. Although it is mostly related to materials science, it has applications in many other areas, such as electronics. Finding new materials with favorable electrical characteristics is made possible by materials informatics. Researchers are able to find promising candidates for electronic components including semiconductors, conductors, and dielectrics by examining enormous databases of material properties and topologies. Electronic device manufacturing processes can be optimized with the help of materials informatics. Through the examination of data from different manufacturing processes, including lithography, etching, and deposition, producers can raise yield, lower faults, and improve the functionality of electronic components.
Electronic device design and simulation are made easier by materials informatics. Researchers can forecast how devices will behave depending on various materials, geometries, and operating conditions by using computational models and machine learning methods. As a result, new electronic products and technology are developed more quickly. Electronic component dependability and durability are increased with the help of materials informatics. Researchers can pinpoint the mechanisms causing degradation, reduce the risk to dependability, and increase the longevity of electronic devices by examining data from failure analysis, environmental exposure studies, and accelerated aging testing. Businesses may create more sustainable products and cut production costs by finding eco-friendly materials, limiting resource usage, and streamlining manufacturing processes.
Materials Informatics Market By Application, 2020 to 2023 (USD Million)
| Application | 2020 | 2021 | 2022 | 2023 |
| Chemical Industries | 25.2 | 38.1 | 52.8 | 67.9 |
| Dyes | 11.5 | 17.4 | 23.9 | 30.7 |
| Research and Development Agencies | 14.3 | 21.4 | 30.1 | 39.4 |
| Others | 21.3 | 31.8 | 45.2 | 59.7 |
The digital annealer segment held the largest share in materials informatics market in 2023. 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 By Technique, 2020 to 2023 (USD Million)
| Technique | 2020 | 2021 | 2022 | 2023 |
| Digital Annealer | 28.1 | 42.0 | 58.2 | 75.0 |
| Deep Tensor | 20.8 | 30.9 | 43.6 | 57.1 |
| Statistical Analysis | 13.9 | 21.1 | 29.4 | 37.9 |
| Genetic Algorithm | 9.5 | 14.5 | 20.8 | 27.6 |
The industry players in the global materials informatics market experience intense competition among each other owing to the presence of large number of players at both regional as well as global level. In addition, these players are significantly involved into the technology integration with material informatics in order to achieve new heights of information and research in the sector.
COVID-19 Impact Analysis:
The spread of COVID-19 in the start of the year 2020 has upended the operation and future scope of several industries including material science and research. As the focus of the research shifted towards the COVID-19 virus and other sectors were impacted because of this. In addition, halt in the manufacturing process along with the country lockdown has negatively impacted the research sector across various industries that again hampered the market growth of material informatics market as well.
Materials-related platforms and organizations have expanded or amended their short and mid-term strategic goals in response to the COVID pandemic's challenges. The A4M community has compiled a non-exhaustive list of instances of these responses.
The European Technology Platform for Advanced Materials and Technologies, EUMAT, published the EUMAT RoadMap, the RD Priorities in Advanced Materials, the EuMat Position Paper, and a document emphasizing the importance of "Materials Made in Europe" with the message that "Advanced Materials are essential" prior to the COVID crisis, anticipating the demands of the COVID crisis. EUMAT and the Alliance for Materials (A4M) released an important Memorandum signed by 242 institutions, as well as the "Alliance for Materials Position Paper," explaining the role of materials in the Green Deal and Digital Age, as well as the need and capacity of the materials community to provide solutions for Materials for Tomorrow. As a reaction to the COVID-19 issues, EUMAT-A4M has gathered project ideas and proposals. The research needs for enhanced surfaces, safe materials, testing methodologies, modelling and data integration, materials for digitalization, the circular economy, and resilience are described in the ANNEX of this publication.
The Materials community supports the European Green Deal and EU advances in digitization, science and technology integration education, and it offers a range of solutions to address social, societal, and economic concerns arising from or exacerbated by the epidemic.
COVID-19 has had a significant impact on the creation of contemporary solutions to address societal concerns, prompting discussion of a new global economic model in which the "circular economy" will play a vital role. The circular economy aims to preserve a product's usefulness as high as feasible while removing design waste from the system. It advocates for a shift away from consumerism and ownership toward sharing and use. Companies must build new interactions with their consumers, suppliers, and the value chain's extremes as a result of the advent of circular economy business models. As a foundation for materials management, it is built on connectivity and interaction. A circular business model was demonstrated to provide resilience to enterprises during the COVID-crisis, allowing them to more readily react and adapt to unexpected events. Digital technologies can help with the transition from a linear to a circular economy by: a) enhancing end-of-life management practices, predictive and condition-based maintenance, or enabling new business models such as product-service systems; b) enhancing end-of-life management practices, predictive and condition-based maintenance, extending product lifetime, or enabling new business models such as product-service systems. The incorporation of functional electronics into products has the potential to extend the useful life of materials and products, reduce resource use and waste by increasing resource efficiency, reducing waste generation at the production and use stages, and improving material and product repair (including self-healing), remanufacturing, recovery, reuse, and recycling. The digital circular economy's major principles include blockchain, machine learning, and digital twins. The introduction of digital technologies into the production system will be required for their application.
Materials recovery and waste re-/upcycling technologies are required, as are residue-safe solutions. Materials that have been repurposed, redesigned, or reshaped will benefit from additive manufacturing technology. Recycling various materials components in order to develop competitive, highly customized products at lower production costs can lead to new business opportunities. Gaining experience and knowledge in additive manufacturing could have a huge impact on the quick production of protective equipment to address crucial shortages in hospitals.
Market Segmentation:
By Material
By Technique
By Application
By Regional Outlook
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