The SaaSpocalypse and the Hour of Industrial Software: Why the AI Sell-Off Is an Opportunity for German SMEs
Published
March 26, 2026
Author: Nicolas Barthalon, Partner at Ventech
Published on Digital Magazin as guest byline article on March 2026. Read the full article in German or in English on Digital Magazin.
In early February 2026, software stocks lost over $730 billion in market value within just a few days. In Silicon Valley, people are already talking about the "SaaSpocalypse"—the moment when AI agents render entire software categories obsolete. But for a specific category of B2B software, namely that which is deeply embedded in operational industrial processes, this very disruption presents an opportunity. Not despite the AI wave, but because of it.
What the SaaSpocalypse truly punishes – and what it doesn't.
The market is fundamentally doing something right. It's penalizing software built on information asymmetry or process rigidity—software that relied on subscription logic without being deeply embedded in its customers' processes. AI agents are increasingly able to take over tasks that previously required dozens of specialized tools. Why pay for three different, isolated CRM solutions in SaaS management when a single agent can maintain, prioritize, and analyze the data itself?
What remains unaffected by this – and becomes more valuable in the long run – is software that offers true operational depth: encoding industry-specific knowledge, digitally mapping physical processes, and creating the foundation on which AI agents can actually become effective. This category has a name: Industrial Software. And its natural market is not in Silicon Valley, but in the factory floors, workshops, and supply chains of German and European SMEs.
Related to the topic:
Overview: Artificial Intelligence Technologies
The middle class as an unlikely winner
According to a recent Bitkom study, 46 percent of German industrial companies fear missing out on the AI revolution. This is alarming – yet there is a glimmer of hope: Companies that have digitized little so far and consequently have little legacy software in-house can experiment with AI agents more quickly than corporations that have relied on monolithic ERP systems for many years . This late-mover advantage is quite real.
But there's a catch here, too. Less digitization also means less data – and without reliable, structured data, AI remains ineffective. The prerequisite for the leapfrog effect remains the same: clean up the data foundation, digitally map processes, and establish integrations. Those who do this can almost catch up technologically. Those who don't may have less legacy burden – but they gain nothing.
The crucial question, therefore, is: Where is the use of industrial software and AI most urgent for SMEs? Some areas stand out because the operational pain points are particularly acute and the data requirements are clear.
Knowledge, supply chains, tenders
A key challenge is knowledge transfer. The baby boomer generation is retiring – and with it, thirty years of implicit knowledge about processes, suppliers, and sources of error, knowledge that isn't documented in any manual. Industrial software that transforms unstructured company information into a searchable, AI-powered corporate memory solves precisely this problem. Amber, based in Aachen, is an example of how this gradual brain drain can be halted technologically.
A second area is supply chain management. Pandemic, the war in Ukraine, geopolitical tensions – the past few years have demonstrated how fragile global supply chains are. AI-powered real-time monitoring of thousands of data sources transforms reactive risk management into proactive risk management. The Vienna-based company Prewave, for example, shows that AI automation also works for medium-sized companies without large analytics teams that cannot afford legions of analysts.
...
Read the full article in German or in English on Digital Magazin.
Nicolas Barthalon is a partner at Ventech, a European VC firm focusing on vertical AI applications, industrial software & deeptech, digital health, and cybersecurity/tech sovereignty. Its portfolio comprises more than 320 investments totaling over one billion euros across Europe and Asia.
.jpg)
%20-%20final%20%20fo%2Cal.jpg)

