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The rapid expansion of AI, cloud computing, and high-performance computing is changing the way data centers are designed and operated. Higher computing power and increasing rack densities are creating greater requirements for heat management, power efficiency, reliability, and infrastructure performance. These changes also increase the importance o...

Data-driven materials informatics is transforming the discovery and development of advanced materials, enabling faster innovation across polymers, coatings, and catalytic systems. By integrating experimental data, computational simulations, and AI and ML models, these platforms enable predictive design, efficient formulation optimization, and accel...

Data science, software engineering, and materials knowledge researchers must collaborate to bridge the gaps in materials R&D and accelerate digital transformation. To introduce digital innovation into the lab, scientists need to develop new skills and manage larger data volumes more efficiently using tools such as artificial intelligence (AI), big ...

As heat generation intensifies across high-performance electronics, electric vehicles, and digital infrastructure, advanced thermal management materials improve system efficiency, reliability, and longevity. This analysis provides a structured benchmarking of leading industry participants that are advancing innovation and commercial traction acros...

A common challenge faced by researchers during material R&D is from a data perspective, such as availability of highly fragmented information due to data systems that vary from application to application, fluctuating data quality and inability to access curated external research activities effectively. Integration of digital technologies such as...

Generative artificial intelligence (GenAI) is emerging as a game changer in the chemicals and materials industry. This technology, which combines advanced machine learning with vast data resources, has the potential to transform the industry by driving innovation, efficiency, and ecologically sound practices. Gen AI allows for faster research and d...

The report examines the most relevant decarbonization strategies that the chemical industry is currently implementing across the globe. The analysis covers decarbonization from the standpoint of the basic chemicals (ammonia, chlor-alkali, benzene, toluene, ethylbenzene, xylene, methanol, and olefins) and technologies (electrification, efficiency, r...

This report offers a forward-looking analysis of the consumer wellness landscape through 2030 by examining how rapid technological progress, evolving consumer expectations, and cross-industry convergence are reshaping wellness into a data-driven and highly personalized ecosystem. It revolves around the shift from reactive care toward proactive, pre...

Digital transformation in the building materials industry involves integrating digital technologies and data-driven processes across every facet of a company’s operations, including supply chain management, design, production, sourcing, and customer interactions. The goals are to increase productivity, sustainability, and safety, improve efficiency...