The global market for Material Informatics was estimated at US$152.1 Million in 2024 and is projected to reach US$379.9 Million by 2030, growing at a CAGR of 16.5% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Material Informatics market.
Segments: Material Type (Elements Material, Chemicals Material, Other Materials); Technology (Machine Learning Technology, Deep Tensor Technology, Statistical Analysis Technology, Digital Annealer Technology, Other Technologies); End-Use (Material Science End-Use, Chemical & Pharmaceutical End-Use, Electronics & Semiconductors End-Use, Automotive End-Use, Aerospace & Defense End-Use, Other End-Uses)
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global Material Informatics Market - Key Trends & Drivers Summarized
Why Is Material Informatics Emerging as the Future of Materials Discovery and Development?
Material informatics is rapidly redefining how new materials are discovered, optimized, and applied across industries, marking a significant departure from traditional trial-and-error approaches. By leveraging data science, machine learning, and computational modeling, material informatics enables researchers and engineers to predict material properties, simulate molecular structures, and accelerate the innovation pipeline. This technology empowers R&D teams to reduce the time, cost, and uncertainty involved in developing novel materials for applications ranging from aerospace and semiconductors to energy storage and biomedicine. The global push for next-generation technologies - like solid-state batteries, flexible electronics, and sustainable polymers - is creating urgent demand for materials with highly specific properties. Material informatics addresses this need by uncovering hidden correlations between structure and performance using vast datasets that traditional lab testing would take years to process. The digitization of legacy materials data and the integration of high-throughput experimentation platforms are further amplifying the value of informatics-driven research. This computational-first approach is also critical in identifying rare or hard-to-synthesize compounds, optimizing composites, and solving complex multi-objective problems that require balancing multiple performance metrics. As organizations embrace innovation and speed-to-market as competitive differentiators, material informatics is becoming a strategic asset in materials science and advanced manufacturing ecosystems.How Are AI and Big Data Shaping the Next Leap in Materials Innovation?
Artificial intelligence and big data are central to the rise of material informatics, enabling a fundamental shift from empirical guesswork to predictive, data-driven design. AI algorithms, especially deep learning and neural networks, are being trained on experimental and simulated data to recognize complex patterns in atomic arrangements, phase transitions, and reaction pathways. These models can accurately predict key properties such as strength, conductivity, corrosion resistance, and thermal stability, significantly reducing the need for expensive and time-consuming lab trials. Cloud computing platforms and open-source materials databases are playing a crucial role by democratizing access to curated datasets, fostering collaboration among academic institutions, startups, and industry leaders. Tools such as materials graph networks, quantum chemistry simulations, and generative AI models are enabling the creation of entirely new material classes with engineered functionalities. Furthermore, active learning systems allow AI models to refine themselves based on new experimental results, creating an iterative feedback loop that continuously improves predictive accuracy. The fusion of informatics with autonomous labs - where robots execute AI-designed experiments - is unlocking previously unattainable research velocity. This convergence of AI, big data, and automation is not only transforming R&D in large corporations but also enabling small labs and startups to compete at the cutting edge of materials science.Is Cross-Industry Adoption Driving a Paradigm Shift in Material Innovation Cycles?
Material informatics is seeing rapid adoption across a wide spectrum of industries seeking to innovate faster, reduce costs, and gain a competitive edge through material differentiation. In energy, the technology is accelerating the development of more efficient solar cells, hydrogen storage materials, and battery chemistries, especially for electric vehicles and grid-scale storage systems. Aerospace and defense sectors are leveraging informatics to design ultra-lightweight, heat-resistant alloys and composites critical for space exploration and supersonic travel. In pharmaceuticals, informatics-driven design is being used to discover biocompatible drug carriers, smart polymers, and next-gen packaging materials. Electronics and semiconductors are benefiting through the creation of high-dielectric materials, low-loss insulators, and novel 2D materials such as graphene alternatives. Even the construction and textile sectors are exploring smart, sustainable materials for green buildings and performance wear. As ESG mandates tighten and sustainability becomes a global priority, material informatics is also helping companies substitute hazardous or non-renewable materials with safer, eco-friendly alternatives. This cross-industry applicability is pushing enterprises to integrate informatics into their product development life cycles, often through partnerships with software vendors, cloud providers, and university research labs. The result is a systemic transformation of innovation cycles - shifting from years-long processes to data-driven pathways that can deliver results in months or even weeks.What Are the Core Drivers Powering the Material Informatics Market’s Expansion?
The growth in the material informatics market is driven by several factors rooted in technological advancement, evolving R&D methodologies, and market-specific innovation demands. The increasing complexity of product requirements across sectors such as aerospace, electronics, energy, and healthcare has created strong demand for rapid, accurate, and scalable materials discovery platforms. The integration of high-throughput screening techniques with AI-based prediction models is enabling faster iteration and optimization, making informatics-based workflows more attractive to research institutions and commercial R&D teams. The widespread availability of open-access materials databases and advances in cloud computing are reducing entry barriers, allowing startups and mid-sized enterprises to adopt material informatics without massive infrastructure investments. In parallel, growing pressure to meet sustainability goals and regulatory requirements is encouraging industries to use informatics to identify eco-friendly, non-toxic, and recyclable material alternatives. Collaborative frameworks between academic institutions, national labs, and commercial players are accelerating knowledge transfer and real-world deployment of informatics tools. The rise of digital twins and simulation-led prototyping is reinforcing demand for data-centric design platforms that material informatics naturally supports. Furthermore, the emergence of integrated software ecosystems that combine materials modeling, data analytics, and experimental validation under one umbrella is simplifying the adoption process. Finally, government funding initiatives in materials research, particularly in clean tech and defense innovation, are creating a fertile ground for the expansion of the material informatics ecosystem globally.Report Scope
The report analyzes the Material Informatics market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments: Material Type (Elements Material, Chemicals Material, Other Materials); Technology (Machine Learning Technology, Deep Tensor Technology, Statistical Analysis Technology, Digital Annealer Technology, Other Technologies); End-Use (Material Science End-Use, Chemical & Pharmaceutical End-Use, Electronics & Semiconductors End-Use, Automotive End-Use, Aerospace & Defense End-Use, Other End-Uses)
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Elements Material segment, which is expected to reach US$241.9 Million by 2030 with a CAGR of a 18.2%. The Chemicals Material segment is also set to grow at 13.4% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, estimated at $41.4 Million in 2024, and China, forecasted to grow at an impressive 22.1% CAGR to reach $84.5 Million by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Material Informatics Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Material Informatics Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Material Informatics Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as AI Materia, Alloyed, BASF, Citrine Informatics, Dassault Systèmes and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Select Competitors (Total 37 Featured):
- AI Materia
- Alloyed
- BASF
- Citrine Informatics
- Dassault Systèmes
- Exabyte Inc.
- Exponential Technologies (Xt)
- Hitachi High-Tech
- MAT3RA
- Materials Design
- MaterialsZone
- Noble.AI
- Orbital Materials
- Phaseshift Technologies
- Preferred Networks
- QuesTek Innovations
- Schrödinger, Inc.
- Symyx Technologies
- Tilde Materials Informatics
- Uncountable
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What’s Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AI Materia
- Alloyed
- BASF
- Citrine Informatics
- Dassault Systèmes
- Exabyte Inc.
- Exponential Technologies (Xt)
- Hitachi High-Tech
- MAT3RA
- Materials Design
- MaterialsZone
- Noble.AI
- Orbital Materials
- Phaseshift Technologies
- Preferred Networks
- QuesTek Innovations
- Schrödinger, Inc.
- Symyx Technologies
- Tilde Materials Informatics
- Uncountable
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 385 |
Published | April 2025 |
Forecast Period | 2024 - 2030 |
Estimated Market Value ( USD | $ 152.1 Million |
Forecasted Market Value ( USD | $ 379.9 Million |
Compound Annual Growth Rate | 16.5% |
Regions Covered | Global |