Materials modeling technologies are fundamental to explore, understand, and ultimately predict materials behavior. They are essential to solve challenges posed by the need to reduce human impact on the environment. Modeling and simulation of materials behavior have been recognized over the years as fundamental as an asset in industrial R & D, guiding the decision-making process regarding the design or optimization of new products and manufacturing processes. At the same time, it reduces product cost and development time. However, highlighting the revenue brought by using such tools is not trivial, especially because they mainly affect the complex activities such as the innovation process, whose return only becomes available in the long run and it is difficult to measure. This means that the materials modeling field is often overlooked in an industry setting, where it is not integrated in the company workflow. In some cases, modeling provides the potential to capture tacit knowledge preventing the loss of capability in an aging specialist community, that why its industrial integration is important. This paper explores the reason behind this dichotomy, presenting first what it is intended for the modeling process, and the main types used in materials application. The current industrial adoption is reviewed by outlining success stories, economic impact, business uptake, and barriers. Past and current approaches and strategies are also presented and discussed. In prospective, materials modeling plays a key role in developing material-centric industry for sustainable economy, providing physical understating (physics-based models) and fast approaches (data-driven solutions). Digitalization is the mean for the green economy and it needs to push for a more integration at the core of the business of materials modeling.

材料建模技术是探索、理解和最终预测材料行为的基础。它们对于解决减少人类对环境影响的需求所带来的挑战至关重要。多年来，材料行为的建模和模拟已被认为是工业研发的基础资产，指导有关新产品和制造工艺的设计或优化的决策过程。同时，它降低了产品成本和开发时间。然而，强调使用这些工具带来的收入并非无足轻重，特别是因为它们主要影响创新过程等复杂活动，其回报只有长期才能获得，而且难以衡量。这意味着材料建模领域在行业环境中经常被忽视，因为它没有集成到公司工作流程中。在某些情况下，建模提供了捕获隐性知识的潜力，防止老龄化专家社区的能力丧失，这就是为什么其产业整合很重要。本文探讨了这种二分法背后的原因，首先介绍了建模过程的目的以及材料应用中使用的主要类型。通过概述成功案例、经济影响、业务采用和障碍来回顾当前的行业采用。还介绍并讨论了过去和当前的方法和策略。展望未来，材料建模在发展以材料为中心的工业以实现可持续经济方面发挥着关键作用，提供物理理解（基于物理的模型）和快速方法（数据驱动的解决方案）。数字化是绿色经济的手段，需要推动材料建模业务核心的更多整合。