The “Global Materials Informatics Market 2024-2035” report is now available on ResearchAndMarkets.com.
Industries are undergoing significant digital transformation, driven by affordable computing power, cloud-based infrastructure, ubiquitous data collection, and advanced AI. The materials and chemicals sectors are embracing these trends, with leaders adopting data-driven R&D to optimize materials and formulations.
Materials informatics (MI) combines data science, materials science, and AI to enable rapid discovery of new materials, reducing required experiments by 50-70%. Leveraging AI and data science accelerates discovery, optimizes processes, and enhances precision and efficiency.
MI’s integration with technologies like robotics for autonomous experimentation and quantum computing for simulations promises further advancements. These maturing technologies will revolutionize materials discovery and development.
Challenges remain in data quality, algorithm development, and cross-discipline integration to fully realize MI’s potential.
The “Materials Informatics Global Market 2024-2035” report offers in-depth insights into market trends, key players, technological advancements, and growth opportunities.
Report highlights include:
- Critical issues in materials science data and strategies for sparse data.
- Market challenges, recent developments, and leading players.
- AI integration in materials science and engineering, AI opportunities, and algorithm advancements.
- Overview of MI approaches: data mining, machine learning, high-throughput computation, and quantum computing.
- MI applications: alloy design, drug discovery, battery materials, polymer informatics, nanomaterials, and more.
- Market strategies, funding trends, corporate initiatives, and strategic collaborations.
- Global initiatives and research activities.
- Market forecasts, growth trends, drivers, and barriers.
- Cost savings, accelerated time-to-market, job creation, and impacts on traditional industries.
- MI’s role in sustainable development and environmental impact reduction.
- Future trends: AI and robotics in labs, quantum machine learning, MI as a service (MIaaS).
Company profiles include:
- Alchemy Cloud
- Asahi Kasei
- Citrine Informatics
- Copernic Catalysts
- Elix Inc
- Enthought
- Exomatter GmbH
- Exponential Technologies Ltd.
- FEHRMANN MaterialsX
- Genie TechBio
- Hitachi High-Tech
- Innophore
- Intellegens
- Kebotix
- Kyulux
- Mat3ra
- Materials Zone
- Matmerize
- Noble.AI
- OntoChem GmbH
- Phaseshift Technologies
- Polymerize
- Proterial Ltd.
- Schrödinger
- Sumitomo Chemical
- TDK
- Toray
- Uncountable
- Xinterra
- Yokogawa Fluence Analytics
Key topics covered:
- Executive Summary
- Overview of materials informatics, data issues, technologies, and market challenges.
- Future outlook: AI and robotics, quantum machine learning, blockchain, edge computing, AR/VR, neuromorphic computing, MIaaS, IoT integration, green technology, and circular economy.
- Introduction
- Data science era, MI emergence, motivation, AI integration, data issues, algorithm advancements, MI categories, data-driven approaches, challenges, machine learning advantages.
- Technology Analysis
- Technology approaches, MI algorithms, data infrastructure, big data, small data strategies, computational materials science, autonomous labs, multi-modal data integration, data-driven experimental design, robotics, and automation.
- Applications of Materials Informatics
- Alloy design, drug discovery, intermetallics, organometallics, organic electronics, coatings, catalysts, ionic liquids, battery materials, heat storage materials, hydrogen superconductors, polymer informatics, rubber processing, nanomaterials, 2D materials, metamaterials, lubricants, thermoelectric materials, photovoltaics, construction materials, biomaterials.
- Market Players
- Main players, funding, strategies, MI consortia, corporate initiatives, collaborations, global initiatives, research activities.
- Company Profiles
For more information, visit ResearchAndMarkets.com.
