[185 Pages Report] The Material Informatics Market size was estimated at USD 236.55 million in 2023 and expected to reach USD 277.52 million in 2024, at a CAGR 20.41% to reach USD 868.41 million by 2030.
The material informatics market encompasses developing and applying data-driven techniques, artificial intelligence (AI), and machine learning (ML) algorithms to discover novel materials, optimize existing ones, and predict their properties. The constant need for lighter-weight components with improved performance characteristics in various industries and collaborative efforts involving industry partners foster the growth of the material informatics market. However, organizations face challenges in adopting material informatics solutions due to the lack of skilled personnel or inadequate understanding of potential benefits. Furthermore, governments worldwide are increasingly promoting R&D initiatives in advanced materials through funding programs to boost technological innovations in strategic sectors, estimated to generate lucrative opportunities for material informatics in the future.
The Americas has a significant landscape in the material informatics market due to the presence of key players and strong material informatics research and innovation facilities, as the region has seen substantial public and private sector investment in research development activities. The EMEA region has a developed material informatics landscape due to strong ongoing research projects and programs to boost innovation within various sectors, including advanced materials science. The region's commitment to digitalization has led manufacturers to focus on integrating AI-driven computational methods for the predictive modeling of new materials. The APAC has observed a developing market space in the material informatics market due to its strong industrial base and expertise in material science, which has positioned it at the forefront of material informatics research. Growing emphasis on technology-driven development policies and rising usage of material informatics in the healthcare, energy, infrastructure, and manufacturing sectors have driven market growth in the APAC region.
The market dynamics represent an ever-changing landscape of the Material Informatics Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
- Market Drivers
- Exponential demand for advanced materials across industries
- Initiatives for industrial digitalization & automation and use of material informatics
- Growing investments in R&D activities in healthcare and energy sector
- Market Restraints
- Lack of technical resources to manage material informatics
- Market Opportunities
- Technological advancements in material informatics based on artificial intelligence & machine learning
- Growing emphasis on smart manufacturing worldwide
- Market Challenges
- Technical and operational limitations of material informatics
Materials: Extensive use of material informatics for developing chemical products
Material informatics plays a crucial role in developing and optimizing chemical products, as it involves leveraging data science, machine learning, and computational methods to expedite the discovery, design, and synthesis of novel materials with desirable properties. In addition, material informatics provides an efficient approach to advance our understanding of complex relationships between molecular structures, compositions, processing parameters, and resulting properties. In the context of element advancements, material informatics plays a crucial role by enabling scientists and engineers to efficiently navigate through vast amounts of experimental data and identify patterns that can lead to innovative elemental combinations and superior material properties.
Application: Increasing need to optimize novel polymer formulations for various industrial applications
Material informatics are used in alloy development to design and optimize novel alloys for various industrial applications. They can harness the power of data-driven modeling and machine learning techniques to predict new alloys with desired mechanical, thermal, and corrosion properties. Material informatics is equally vital in advancing polymer formulations due to its unparalleled capabilities in predicting polymer properties based on molecular structure data. They have applications across various industries such as automotive, packaging, medical devices, and electronics through designing advanced functional polymers.
End-Use: Potential use in the manufacturing sector for optimizing material properties and enhancing production processes
Material informatics plays a crucial role in the chemical and pharmaceutical industries, where it helps to optimize formulations, predict material properties, and design new molecules or compounds. It focuses on enhancing drug discovery processes and reducing trial-and-error experimentation. Additionally, in food science applications, material informatics is used to analyze food components on a molecular level to create tastier, healthier products with extended shelf lives. The energy industry has adopted material informatics to improve the performance of materials used in energy generation, storage, and transmission systems. Material informatics is essential in manufacturing for optimizing material properties, reducing costs, and enhancing production processes. Furthermore, material informatics is employed in materials science applications to explore new materials with unique properties or improve existing ones by predicting their characteristics under various conditions.
The market disruption analysis delves into the core elements associated with market-influencing changes, including breakthrough technological advancements that introduce novel features, integration capabilities, regulatory shifts that could drive or restrain market growth, and the emergence of innovative market players challenging traditional paradigms. This analysis facilitates a competitive advantage by preparing players in the Material Informatics Market to pre-emptively adapt to these market-influencing changes, enhances risk management by early identification of threats, informs calculated investment decisions, and drives innovation toward areas with the highest demand in the Material Informatics Market.
The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Material Informatics Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.
The value chain of the Material Informatics Market encompasses all intermediate value addition activities, including raw materials used, product inception, and final delivery, aiding in identifying competitive advantages and improvement areas. Critical path analysis of the <> market identifies task sequences crucial for timely project completion, aiding resource allocation and bottleneck identification. Value chain and critical path analysis methods optimize efficiency, improve quality, enhance competitiveness, and increase profitability. Value chain analysis targets production inefficiencies, and critical path analysis ensures project timeliness. These analyses facilitate businesses in making informed decisions, responding to market demands swiftly, and achieving sustainable growth by optimizing operations and maximizing resource utilization.
The pricing analysis comprehensively evaluates how a product or service is priced within the Material Informatics Market. This evaluation encompasses various factors that impact the price of a product, including production costs, competition, demand, customer value perception, and changing margins. An essential aspect of this analysis is understanding price elasticity, which measures how sensitive the market for a product is to its price change. It provides insight into competitive pricing strategies, enabling businesses to position their products advantageously in the Material Informatics Market.
The technology analysis involves evaluating the current and emerging technologies relevant to a specific industry or market. This analysis includes breakthrough trends across the value chain that directly define the future course of long-term profitability and overall advancement in the Material Informatics Market.
The patent analysis involves evaluating patent filing trends, assessing patent ownership, analyzing the legal status and compliance, and collecting competitive intelligence from patents within the Material Informatics Market and its parent industry. Analyzing the ownership of patents, assessing their legal status, and interpreting the patents to gather insights into competitors' technology strategies assist businesses in strategizing and optimizing product positioning and investment decisions.
The trade analysis of the Material Informatics Market explores the complex interplay of import and export activities, emphasizing the critical role played by key trading nations. This analysis identifies geographical discrepancies in trade flows, offering a deep insight into regional disparities to identify geographic areas suitable for market expansion. A detailed analysis of the regulatory landscape focuses on tariffs, taxes, and customs procedures that significantly determine international trade flows. This analysis is crucial for understanding the overarching legal framework that businesses must navigate.
The regulatory framework analysis for the Material Informatics Market is essential for ensuring legal compliance, managing risks, shaping business strategies, fostering innovation, protecting consumers, accessing markets, maintaining reputation, and managing stakeholder relations. Regulatory frameworks shape business strategies and expansion initiatives, guiding informed decision-making processes. Furthermore, this analysis uncovers avenues for innovation within existing regulations or by advocating for regulatory changes to foster innovation.
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Material Informatics Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Material Informatics Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Asahi Kasei and NEC Established Analysis Platform Utilizing Secure Computation Technology For Secure Data Collaboration Between Companies
Asahi Kasei Corp. and NEC Corporation collaboratively developed a groundbreaking technology called Material Informatics. This innovative solution utilizes artificial intelligence and advanced technologies to analyze and predict the properties of various materials. By optimizing material utilization, this technology enables more efficient product development in areas, such as medical devices, batteries, and printed electronics. [Published On: 2023-03-28]
Resonac Joins Enthought’s Materials Informatics Acceleration Program
Resonac Corporation partnered with Enthought, Inc.to strengthen its data scientists' capabilities in developing MI (Materials Informatics) analysis tools, platforms, and MLOps (Machine Learning Operations) to accelerate materials development. Through this partnership, Enthought's cutting-edge AI (Artificial Intelligence) and MI skills transferred to Resonac's young data scientists. [Published On: 2023-02-09]
Citrine Informatics Raises USD 16 Million in Series C Financing
Citrine Informatics secured USD 16M in Series C financing. This investment is expected to support the further development of the company's existing portfolio and the expansion of its enterprise offering. The funding round has been led by Intel Capital and included participation from Energy Transformation Ventures (ETV), Amplify Partners, Prelude Ventures, Synapse Partners, Pseudonym Ventures, and other investors. [Published On: 2023-01-04]
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Material Informatics Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
The report delves into recent significant developments in the Material Informatics Market, highlighting leading vendors and their innovative profiles. These include ENEOS Corporation, Mat3ra by Exabyte Inc., BASF SE, Uncountable Inc., QuesTek Innovations LLC, Revvity Signals Software, Inc., Citrine Informatics, OntoChem GmbH, Dassault Systèmes SE, Preferred Networks, Inc., Exponential Technologies Ltd., Hitachi, ltd., Tilde Materials Informatics, Phaseshift Technologies Inc., Kebotix, Inc., Materials Zone, Polymerize Private Limited, Materials Design, Inc., TDK Corporation, Simreka by Devtaar GmbH, Exabyte Inc., Elix, Inc., Thermo Fisher Scientific, Inc., and Schrodinger, Inc..
This research report categorizes the Material Informatics Market to forecast the revenues and analyze trends in each of the following sub-markets:
- Materials
- Chemicals
- Biomolecules
- Dyes
- Polymers
- Elements
- Alloys
- Composites
- Metals
- Superalloys
- Chemicals
- Application
- Alloy Development
- Polymer Formulations
- End-Use
- Chemical & Pharmaceutical
- Energy
- Food Science
- Manufacturing
- Materials Science
- Region
- Americas
- Argentina
- Brazil
- Canada
- Mexico
- United States
- California
- Florida
- Illinois
- New York
- Ohio
- Pennsylvania
- Texas
- Asia-Pacific
- Australia
- China
- India
- Indonesia
- Japan
- Malaysia
- Philippines
- Singapore
- South Korea
- Taiwan
- Thailand
- Vietnam
- Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom
- Americas
- Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
- Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
- Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
- Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
- Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.
- What is the current market size and projected growth?
- Which products, segments, applications, and regions offer promising investment opportunities?
- What are the prevailing technology trends and regulatory frameworks?
- What is the market share and positioning of the leading vendors?
- What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?
- Preface
- Research Methodology
- Executive Summary
- Market Overview
- Market Insights
- Material Informatics Market, by Materials
- Material Informatics Market, by Application
- Material Informatics Market, by End-Use
- Americas Material Informatics Market
- Asia-Pacific Material Informatics Market
- Europe, Middle East & Africa Material Informatics Market
- Competitive Landscape
- Competitive Portfolio
- List of Figures [Total: 22]
- List of Tables [Total: 468]
- List of Companies Mentioned [Total: 24]
Materials Design and Selection:
The design and selection of materials consider various properties such as electrical conductivity, stiffness, strength, and temperature resistance. Traditional methods of material design and selection involve expensive trials and iterations, which could take up to years. However, AI and ML algorithms have revolutionized designing and selecting materials. Materials' characteristics and structures are simulated and tested in a database to determine the most effective material based on specific conditions.
Development of New Materials:
AI and ML algorithms have been used to develop new materials to maximize the efficiency of the materials research process. With the help of AI and ML algorithms, researchers can conduct simulations that predict how new materials will interact with their surroundings and respond to various conditions. Furthermore, it is now possible to explore new material structures and combinations without producing them, reducing risks and saving resources.
Data Analysis:
Material Informatics generates a lot of data that is complex to analyze. However, AI and ML algorithms can conduct complex data analysis tasks such as clustering, classification, and regression. These tasks help scientists gain insight into data by identifying patterns and relationships that may have been unnoticed. These algorithms can also identify hidden inter-dependencies that may aid in predicting the behavior of materials under different conditions.
Optimization of Material Performance:
Optimizing the performance of materials is a vital part of the material informatics process. Optimization involves creating materials that can withstand specific conditions while meeting particular goals. Material informatics allows researchers to run simulations to understand a material's behavior in different conditions, experiment with varying designs, and discover materials with enhanced capabilities. AI and ML can optimize material performance by creating virtual experiments that minimize the number of trial-and-error iterations needed.
Rapid Prototyping and Production:
One of the significant impacts of AI and ML algorithms in material informatics is the speed of prototyping and production. Based on data that has been analyzed, AI and ML simulations can create a virtual prototype that can be tested and adjusted until the optimal design is achieved. This reduces the cost and lead time of production and prototyping, thus making the material innovation process quicker and more precise.
Integrating AI and ML algorithms in material informatics has marked a new era of innovation and material design. Using sophisticated simulations reduces costs while increasing efficiency and accuracy in creating and selecting materials. As the world advances, AI and ML will likely drive further progress in the material science industry. The future looks bright for the field of material informatics as researchers and scientists continue using technological advancements to solve challenges and create better materials that enhance the quality of life for everyone.
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