Aart de Geus
Analyst · Benchmark. Please go ahead
Okay. So regarding the internal – the external indicators there, obviously, multiple sort of horizons around that. The macro horizon is all around the belief that the – both connectivity and smarts of the electronics world is dramatically changing. And both of those words are relevant, because they imply large amounts of data being moved around with risk, i.e., security risks. And then, but also with the need to be manipulate, stored and so on. And therefore, opportunities for silicon utilization and new chips. As we zoom in a little bit more into the Software Integrity business and I assume most of your question is motivated by that. There we also serve that what difference, let’s say then, at least the last 10 years-plus in EDA or IP is, we are still getting many more new customers, meaning, logos that we’ve never touched or even never heard of before. While simultaneously seeing that a number of companies that we’ve done business with for a number of years are gradually moving to a larger spending levels, because they adopt more with more users or with more departments in the larger companies. And those two things we watch, we measure, we look at the renewal rates, essentially, we continue to try to assess is the business healthy. And so the combination of the external landscape and the internal execution so far have been good. When you talk about companies like NVIDIA that are extremely sophisticated, they also have extremely sophisticated utilization of our tools of combinations of our tools of certain things that they have added to this. And the word methodology is right on, which is really great companies know what to pay attention to and when to pay attention to in the flow. So that they a, reduce risk and b, maximize how much they can squeeze out of the given silicon technology. In general to your point of do people have to evolve their methodology? My answer would be absolutely yes. The complexity that we see is changing, not only in scale, meaning, more transistors. But also in systemic complexity, meaning, more dimensions that have to be satisfied simultaneously. And the traditional dimensions of speed, area and power are still very foundational. But so is now the approach to temperature, thermal issues on a chip the dealing with the reliability and safety of certain constructs in automotive spaces and so on. And then on top of that is increasingly the intersection between hardware and software, where a lot of issues popup, but also opportunities are sitting. So it’s in that context that we provide an increasingly large amount of methodology support and help. And also in our Fusion Technology have integrated a number of tools together to essentially accelerate what could be viewed as methodology, but is really the intersection between tools. So this may sound somewhat convoluted and complex and for us is actually good news, because that’s where we add value.