Material Informatics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Application (Chemical and Pharmaceuticals, Material Science, Manufacturing, Food Science, Energy, Others), By Material Type (Elements, Chemicals, Others), By Technique (Digital Annealer, Deep Tensor, Statistical Analysis, Genetic Algorithm), By Region and Competition, 2020-2030F

Market Overview

The Global Material Informatics Market, valued at USD 143.95 Million in 2024, is projected to experience robust expansion with a CAGR of 12.82% to reach USD 296.8 Million by 2030. Material Informatics applies data science, machine learning, and artificial intelligence to materials research and development, enabling accelerated discovery, design, and optimization of new materials. This approach allows researchers to analyze vast datasets, predict material properties, and simulate performance with unprecedented efficiency, significantly reducing the traditional trial-and-error cycle. The market's growth is primarily driven by the escalating demand for faster material discovery cycles across diverse industries such as aerospace, automotive, and electronics, alongside the imperative to optimize material performance for specific applications. Furthermore, the need for cost reduction in research and development processes by minimizing experimental iterations significantly propels market expansion.

According to the Material Innovation Initiative, investment funding in the next-gen materials industry, which heavily leverages informatics, saw a 10% rise in 2023, reflecting increasing industry confidence in advanced material development approaches. This upward trend underscores the strategic importance placed on data-driven materials science. A significant challenge impeding market expansion, however, is the pervasive issue of data heterogeneity and the lack of standardized data infrastructure within materials science, which complicates data integration and model development.

Key Market Drivers

The integration of advanced AI and machine learning techniques represents a significant catalyst for the Global Material Informatics Market. These technologies empower researchers to process and analyze immense datasets, discern complex patterns, and develop predictive models for material properties with unprecedented accuracy. This capability fundamentally transforms traditional materials science by minimizing the reliance on costly, time-consuming physical experimentation. According to Fluke Reliability, in a June 2024 report, based on a survey of over 600 senior decision-makers in manufacturing, respondents planned to allocate an average of 44% of their technology budgets to AI in 2024 alone, highlighting a substantial industrial commitment to such computational methods. The systematic application of AI and machine learning not only enhances efficiency but also broadens the scope of material exploration, facilitating the design of novel substances with tailored functionalities.

Another pivotal driver is the accelerated material discovery and optimization that material informatics enables. By leveraging computational power, the iterative process of identifying and refining new materials is drastically shortened, moving from conceptualization to validated application much more rapidly than conventional approaches. For instance, according to AccScience Publishing, in a May 2025 article titled 'Artificial intelligence-driven material development for additive manufacturing: A critical review,' an ML approach demonstrated the ability to predict mechanical properties for 100,000 microstructures in less than a minute, a task traditionally requiring approximately five days via Finite Element Method analysis. This reduction in development cycles directly translates to faster market entry for innovative products across diverse sectors. Reinforcing the broader emphasis on material advancement, according to a July 2024 article from Sifted, European lawmakers are establishing a €500 million fund to accelerate the deployment of advanced materials.

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Key Market Challenges

The pervasive issue of data heterogeneity and the absence of a standardized data infrastructure within materials science significantly impedes the growth of the Global Material Informatics Market. This challenge complicates the integration of diverse datasets originating from various experimental techniques, computational simulations, and legacy systems. Consequently, developing robust machine learning models and artificial intelligence applications for materials discovery, design, and optimization becomes a complex and time-consuming endeavor.

According to the Pistoia Alliance's 2024 Lab of the Future survey, 52 percent of scientific R&D experts cited low quality and poorly curated datasets as the number one barrier to AI implementation. This directly translates into delays for companies seeking to leverage materials informatics for faster material discovery cycles and optimized material performance. The substantial effort required to cleanse, standardize, and integrate disparate data increases operational costs and extends project timelines, thereby hampering market expansion for solutions reliant on high-quality, interoperable data. Companies face prolonged development phases and reduced return on investment from informatics initiatives when confronting fragmented and inconsistent data landscapes.

Key Market Trends

Distributed data infrastructure adoption represents a critical trend, establishing scalable, accessible, and interoperable data environments essential for advanced materials research. This involves a shift toward cloud-native platforms and standardized data formats, facilitating the integration and sharing of vast materials datasets. In 2024, Meta's Fundamental AI Research team openly made a 110 million data point dataset of inorganic materials available to foster discovery. This widespread data availability accelerates model training and validation. According to the Infrastructure Masons' 2024 State of the Digital Infrastructure Industry report, 38 gigawatts of new capacity will be required for generative AI alone by 2028, highlighting the need for robust data foundations in materials science. This trend enhances the efficiency and scope of materials innovation.

Accelerating sustainable material development is a key trend, driven by environmental regulations and demand for eco-friendly products. Material informatics enables rapid design and optimization of materials with reduced environmental impact, such as biodegradable polymers and lightweight composites from renewable resources. This shortens green material development cycles, promoting commercialization. For example, in September 2025, Avantium, Tereos, and LVMH formed a strategic alliance to accelerate the industrial-scale production of releaf®, a 100% renewable and circular polymer. The World Steel Association's 2024 Sustainability Indicators report indicated that in 2023, member companies invested 7.25% of their revenue in new processes and products, reflecting broad commitment to sustainable innovations. This trend positions material informatics as vital for industries meeting sustainability targets and transitioning to a circular economy.

Segmental Insights

The Chemicals segment is emerging as a rapidly expanding sector within the Global Material Informatics Market. This accelerated growth is primarily driven by the escalating demand for innovative and specialized chemical formulations across diverse industries, including pharmaceuticals, agriculture, and consumer goods. Material informatics plays a crucial role in enabling the efficient design, optimization, and discovery of new chemical compounds, thereby significantly reducing research and development timelines and costs. Furthermore, the increasing complexity of chemical research and the industry's imperative to develop sustainable and environmentally compliant solutions are compelling companies to leverage advanced computational chemistry and data analytics for predicting chemical behaviors and interactions.

Regional Insights

North America leads the Global Material Informatics Market, driven by its robust technological ecosystem and significant investments in research and development. The region benefits from a strong presence of major technology companies and advanced academic institutions that actively leverage artificial intelligence and machine learning for accelerated material discovery and innovation. Furthermore, a supportive regulatory environment, complemented by government initiatives from bodies such as the U. S. Department of Energy and the National Science Foundation, fosters computational materials research. This robust infrastructure and sustained funding address the substantial demand for advanced and sustainable materials across critical sectors like aerospace, electronics, and healthcare, solidifying North America's market dominance.

Recent Developments

• In August 2025, Hitachi High-Tech and NOF Metal Coatings announced a collaboration focused on enhancing research and development efficiency and sophistication through materials informatics. This partnership aims to leverage advanced data-driven approaches to accelerate the discovery and optimization of new materials. The collaboration represents a strategic move to integrate sophisticated analytical tools and methodologies into materials science, demonstrating a commitment to innovation within the global material informatics market. Such alliances are crucial for pushing the boundaries of material performance and reducing development timelines, ultimately fostering advancements in various industrial applications.

• In March 2025, Lila Sciences, a new venture established by Flagship Pioneering, secured US$200 million in seed capital. This substantial investment was designated for building a "scientific superintelligence platform and fully autonomous labs," which will cater to life, chemical, and materials sciences. The focus on integrating advanced computational capabilities with automated laboratory environments directly addresses the core objectives of the material informatics market, aiming to revolutionize the discovery and development of novel materials. This funding underscores increasing confidence in AI-driven approaches for accelerating scientific breakthroughs.

• In December 2024, Citrine Informatics received $300,000 in funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy. This allocation was part of the Creating Hardened And Durable Fusion First Wall Incorporating Centralized Knowledge program. The funding supports the company's efforts in developing next-generation materials essential for reinforcing the first wall of fusion power plants. This project specifically involves exploring advanced alloy design spaces and manufacturing processes, which are critical applications of material informatics for accelerating the development and optimization of high-performance materials in energy applications.

• In 2024, Meta's Fundamental AI Research team made a substantial contribution to the global material informatics market by publicly releasing a vast dataset comprising 110 million data points of inorganic materials. This initiative was undertaken with the explicit goal of fostering material discovery projects. The availability of such a large and diverse dataset is expected to accelerate research into applications like sustainable fuels and augmented reality devices. By providing a rich resource for machine learning algorithms, this development significantly bolstered the infrastructure supporting data-driven materials science and innovation.

Key Market Players

• AI Materia Inc.
• ALPINE ELECTRONICS, Inc.
• Citrine Informatics
• Dassault Systèmes S.E.
• Exabyte Inc.
• Hitachi High-Tech Corporation
• Kebotix, Inc.
• Materials.Zone Ltd.
• Materials Design, Inc.
• DataRobot, Inc.

Report Scope:

In this report, the Global Material Informatics Markethas been segmented into the following categories, in addition to the industrytrends which have also been detailed below:

• Global Material Informatics Market, By Application:

o   Chemical and Pharmaceuticals

o   Material Science

o   Manufacturing

o   Food Science

o   Energy

o   Others

• Global Material Informatics Market, By Material Type:

o   Elements

o   Chemicals

o   Others

• Global Material Informatics Market, By Technique:

o   Digital Annealer

o   Deep Tensor

o   Statistical Analysis

o   Genetic Algorithm

• Global Material Informatics Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Europe

§  France

§  United Kingdom

§  Italy

§  Germany

§  Spain

o   Asia Pacific

§  China

§  India

§  Japan

§  Australia

§  South Korea

o   South America

§  Brazil

§  Argentina

§  Colombia

o   Middle East & Africa

§  South Africa

§  Saudi Arabia

§  UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Material Informatics Market.

Available Customizations:

Global Material Informatics Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

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