Even though many chip manufacturers have multiple software solutions, they don't have the advanced analysis ability to improve efficiency and yield. Nearly three quarters of chip manufacturers have software tools with diagnostic functions, but they have not yet realized the advantages of predictive or normative analysis.

Now, the global semiconductor supply chain has returned to a relatively stable state. At the beginning of the supply chain chaos, everyone's first reaction may be: someone must have realized that this serious "destruction" is coming. But the truth is-this is a storm caused by complicated factors. Before it arrived, everyone predicted that "almost everything that could go wrong will happen at the same time". Nowadays, the chip market no longer shirks responsibility from each other, but starts with data and reassesses its own behavior to prevent the supply chain imbalance from happening again, or at least reduce the impact when it happens. Although equipment manufacturers spend millions of dollars to develop software to support their own tools, and chip manufacturers buy software from third-party suppliers, neither of these solutions provides a foolproof approach. On the contrary, manufacturers have started to build their own software solutions, and splice solutions on multiple platforms that are usually incompatible. This method is laborious and time-consuming. Moreover, even though many chip manufacturers have various software solutions, they don't have the advanced analysis ability to improve efficiency and yield. Nearly three quarters of chip manufacturers have software tools with diagnostic functions, but they have not yet realized the advantages of predictive or normative analysis. That is to say, although information about equipment operation and potential failures can be obtained, operators can't take actions according to this information because it is not accurate or clear enough-many people think these tools are too complicated when faced with information about equipment operation and potential failures. In addition, semiconductor manufacturing/logistics/distribution is also very complicated. Chip manufacturers must apply analysis through a long and tedious manual process to obtain intelligence from the data they have. When needed, using multiple platforms with proprietary code bases will only create obstacles to obtaining the required analysis functions and intelligence. Nowadays, this problem is becoming more and more urgent. Aggregating these variables in a single ecosystem will eliminate data islands characterized by trade secrets and proprietary information. At present, it is difficult to know what everyone (everything) is doing, and it is difficult to coordinate seamlessly. Chip market will benefit from open and unknowable data management and analysis. For example, chip manufacturers can apply solutions based on analysis and AI to any process or equipment group in the production line. A customizable solution-from dashboard to data management, analysis and intelligence-will achieve a seamless workflow to meet the individual needs of each chip manufacturer. Fabscape open platform can become the industry standard of monitoring and analysis in semiconductor field. Open environments are not new, but they are popular to a large extent because they allow secure collaboration among industry members and guarantee that key IP will not be leaked. An open platform can be a secure collaboration solution, allowing users and chip manufacturer communities to learn from other people's experiences. Of course, any platform must be equipped with important security features so that users can create custom solutions and ensure vendor-specific IP security. It also needs an unknown programming language method, which can easily adapt to all or most programming languages. At present, the semiconductor manufacturing industry is facing the fragmentation of monitoring and analysis, which hinders its ability to cope with the challenges brought by supply chain disruption, which will almost certainly reappear in the future. An open analysis framework can greatly reduce the cost and development time of the chip market, and provide unprecedented valuable information. The main content of this article is translated from EPSNews, the sister platform of international e-commerce. The original title is How Data Analytics Speed Chip Market Recovery.