Data-centric approaches for design and discovery within materials science. Notable advancements in data infrastructures, machine learning, and AI. Player profiles, technology progression, market outlook, strategic approaches.

Ten-year forecasts across five application areas for AI throughout the battery lifecycle, including technology benchmarking and data-driven market predictions. Over 20 company profiles.