Material Informatics Market - Forecast(2024 - 2030)

Material Informatics Market Overview 

The Materials Informatics Market size is estimated to surpass $385.5m by 2027 growing at CAGR of 24.3% during 2022-2027. Materials informatics is an emerging field which applies the principles of informatics to engineering & materials science for materials data management. This cross application of informatics and material science is done to understand the use, selection, development, and discovery of materials. It has provided potential for the development of highly efficient new materials. It has also provided a materials data management-driven approach for recursive extraction of correlations and other rules on material properties from large datasets. Currently, traditional materials development methodologies and the use of more computationally, machine learning solutions, process modeling and analytics approaches are facing some challenges due to which, the benefits of material informatics is not being used at its complete potential. These challenges will exist for some time as the materials industry overcomes some of the cultural barriers necessary to fully embrace such new styles & standards. These barriers are being observed across the globe.

Report Coverage

The report: “Material Informatics Industry Outlook (2022-2027)”, by IndustryARC covers an in-depth analysis of the following segments of the Material Informatics Industry. 

Key Takeaways

• Material informatics is used for establishing virtual material library and structure property relationship with the help of data mining. Now a days different predictive modeling are used to calculate to discover the unknown entries in the pre-existing library of material.
• Material informatics used descriptors to develop a large heuristically derived database with the combination of PCA and PLS techniques with base on a training set of theoretically derived data. The virtual library form a unique database and for exploring relationship and tends from which these predictive tools are used for predictive the data mining process.
• The major issue associated with the material informatics indsutry that is related to soft matter. The properties and descriptors of an emulsion are vastly different from the liquid crystal. Still the common challenges for all soft matter informatics is the complex combination of descriptors, properties and structure at various length scale that complicates report sufficient for more traditional materials. The informatics approach and machine learning solutions are intrinsically intertwined.

Material Informatics Market, By Region, 2021 (%)

For more details on this report - Request for Sample

Material Informatics Industry Segment Analysis – By Application

Material Science is projected to grow at fastest rate of 27.4% CAGR through 2027 among the material informatics market. Material Informatics is engaged with the application of informatics principles to materials science in order to assist in the discovery and development of new materials. In material science, as all types of materials and nanotechnology is highly involved, genetic algorithm technique is the major tool used to solve high complexity computation problems in material science. The major challenge in the field of material science is the continued search for new materials with specific desired functions. The growing application of materials data management driven analytics in materials science has led to the rise of material informatics market size. In order to derive predictive process modeling for a variety of material related activities, Quantitative Structure Activity Relation-ship (QSAR) modeling is conducted for materials which is also referred as statistical process modeling. This process modeling can accelerate the development of new materials with favorable properties and provide insights which govern those properties.

Material Informatics Industry Segment Analysis - By Techniques

Statistical Analysis is projected to grow to $194m by 2027 accounting for largest segment. With the advancement of technology researchers identifies the combination of two complementary tools to employ a supervised learning strategy for the efficient screening of high entropy alloys and identify important materials that drives the growth of data science domain. This tool was validated by comparing both predicated hardness. These methods were validated by comparing various predicated hardness with alloy fabricated in laboratory using arc-melting and identifying alloys with very high measured hardness of material. This method is also capable to identify issue associated with alloy having if there will be any other necessary property. Continuous technological innovation in industrial sectors have increased the opportunities for the development of new materials for variety of new applications. However, the engineering of such materials with the desired properties is expensive, time consuming, and labor- intensive in nature. Also, with manual experiment, it is difficult to engineer material with exact physical property. Thus, material designers can now generate informative hypotheses to reveal the best material engineering process through data driven science and technology. Most of the scientist are now adopting machine learning solutions to build a effective models for establishing relationships between processes, materials, and properties. Machine learning based data-centric material informatics can be more useful to identify material properties that are hard to measure or compute by conventional methods.

Material Informatics Industry Outlook – By Geography

In 2021, North America, with the largest market share of 37.2%, dominates the global Materials Informatics market size supported by the growing demand for the integration of laboratory systems, rising government funding for research, and need for early material discovery among others. Europe Materials Informatics market is estimated to witness high growth rate of CAGR which is 21.9% during 2021-2027 owing to strong economies and government support in this region. BASF Venture Capital has invested $2million into Alchemist Accelerator’s fund towards 3D printing, material informatics, nutrition, and technology game-changers. This investment supported BASF’s strategy to leverage digital technologies and drive the business growth at a high extent. Companies such as Pacific Northwest, Oak Ridge National Laboratory, Exabyte.io, University Of Buffalo and others are working on Material Informatics for achieving high-speed and robust acquisition, management, analysis, and dissemination of perse materials data with the goal of reducing the time and risk while producing new materials. The burgeoning field of materials informatics involving artificial intelligence has accelerated the rate of innovation in all those industries based in U.S that uses materials.

Material Informatics Market Drivers

Rise of High Entropy Alloys and Data Analysis

Alloy material has shown exponential growth for materials informatics industry. The field of high-entropy or multiple principal element that allows in shift for alloy developments. In addition to this in the recent years materials informatics that used in data science application to resolve problems associated with material science and engineering's has emerged as a power full tool for discovery of material and design. These advanced analytics of alloy discovery tools have a significant impact on the interpretation of data for a variety of material system. With the help of material informatics that demonstrating that the tools is extremely used for identifying alloy material for the research field. These technological advanced tools is used for variety of context to narrow a large experimental restriction spaces to identify/search for the new material discovery. In one EY study, 93% of companies indicated that they plan to continue to increase investments in the area of data and analytics thus driving investment in material informatics sector.

Increasing digitization in chemical industry coupled with industry collaboration 

Digital-enabled approaches help chemical companies to enhance business processes through functional excellence. Thus, Chemical industries are largely adopting digital technology into their production and operation process. Similarly, with the rising competition in the chemical industry, companies are now deploying digital technology across value chain to create demand in the market and create value for the customers. These leads create new opportunity for material informatics. In 2020, BASF Venture Capital proposed to invest approximately $2 million into Alchemist Accelerator’s fund, allocating 50% of the fund towards investments in 3D printing, material informatics, agtech, and nutrition. This investment is considered to be one of the BASF’s strategy to leverage digital technologies for driving business growth. However, the chemical companies don’t have adequate expertise to accommodate the transition due to deployment of digital technology. Thus, the companies are increasingly showing their interest to a build a partnership with technology providers and utilize their expertise to deploy the technology in a seamless manner. For instance, in 2020, BASF collaborated with Citrine Informatics for using artificial intelligence to develop new catalyst technology. The preliminary phase of the project in this collaboration will focus on identifying new materials for capturing carbon dioxide (CO2) and greenhouse gases. In 2020, National Institute for Materials Science, Mitsubishi Chemical Corporation, Sumitomo Chemical Company, Ltd., Asahi Kasei Corporation, and Mitsui Chemicals, Inc. signed a MoU on the operation of the Materials Open Platform (MOP). This collaboration promoted an open innovation in the chemical industry. Similar collaboration and partnership are likely to increase in future in order to bring standardized solutions to the market.

Material Informatics Market Challenges

Challenges Associated with Polymer material

Polymer material has a unique characteristic in material informatics that make the development cohesive database challenging with compare to the other material such as metals, ceramic or biomaterials. These polymer materials are highly complex and algorithmic method of naming material composed of complex macromolecules become difficult because it consists of enormous persity of polymer morphology. Apart from the chemical composition polymer category includes copolymerization, polymer blending, linear versus branched polymer, polymer blending are also used for material informatics which leads to a more complexity at the time of product execution. Polymer materials properties are very rarely mono-disperse and are composed of macromolecular chain that exhibit some distribution in length. The disparity of a polymer sample can have a significant on the measured property of the sample.

Material Informatics Industry Outlook

Technology launches, acquisitions and R&D activities are key strategies adopted by players in the Material Informatics market. In 2021, the market has been consolidated by the Material informatics Top 10 companies including

1. Citrine Informatics
2. KITWARE
3. InSilixa
4. Lumiant Corporation
5. GnuBIO
6. MRL Materials Resources LLC
7. Sun Innovations
8. Mitsubishi
9. Exabyte.io
10. Fujitsu

Recent Developments

• In November 2021, Citrine Informatics, the leading AI and smart data management software platform for materials and chemicals, announced a major release of the Citrine Platform to accelerate product development and scale the use of AI across materials and chemicals companies.
• In April 2021, Materials Zone received an investment of $6 Million in venture capital funding. The company is an innovative materials informatics company which developed a unique AI cloud-based materials discovery platform designed to make the process of development and manufacturing of any physical product faster and cheaper.
• In August 2020, Citrine Informatics announced the public launch of the Citrine Platform, an enterprise AI and data platform that enables materials and chemicals companies to accelerate product development, rapidly respond to customer requests, and implement data-driven R&D strategy.

Related Reports

Chemical Informatics Market - Forecast(2022 - 2027)
Report Code: CMR 0875

Drug Discovery Informatics Market - Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth And Forecast 2021 – 2026
Report Code: HCR 15214

Lab Informatics Market - Forecast(2022 - 2027)
Report Code: HCR 0495 

For more Information and Communications Technology related reports, please click here