ResearchAndMarkets.com publishes Global Materials Informatics Market 2026-2036 report tracking AI-driven transformation in industrial R&D as major tech players enter the sector.

The report, released May 20, 2026, provides analysis of the materials informatics industry through 2036, informed by primary interviews conducted with industry players through 2025-2026. It covers both external MI provider revenue and broader total MI software and services market segments including big-tech cloud platform revenue.

Materials informatics applies machine learning, high-throughput computation, generative models, and large language models to compress discovery and optimization time for new materials. Industry practitioners report 50-70% reductions in the number of physical experiments required to develop a new material, with time-to-market acceleration measured in years rather than months.

The market has moved from an early-adopter phase between 2014 and 2018, through a growth phase between 2019 and 2023, into the AI-boom acceleration phase that began in 2024. The 2026 landscape is shaped by foundation models, transformer architectures, generative diffusion models, and universal machine-learning interatomic potentials crossing decisively into materials science.