Within the Technology team at Blue Tree Group, we are increasingly observing in discussions with strategic technology buyers in the United States and Europe, as well as with clients from the venture capital ecosystem, a growing concern: smaller SaaS providers offering highly specialised point solutions may struggle to maintain their competitive position in the future.
AI agents, embedded within the platforms of large software companies, are expected to absorb many niche or auxiliary functionalities currently provided by independent SaaS vendors. Generative AI increasingly enables software capabilities to be created on demand, rather than purchased or licensed as pre-built applications. As a result, the value proposition is gradually shifting from “acquiring or subscribing to software” to “generating functionality when needed.”
Software, in this context, risks becoming an invisible layer of infrastructure. Many functions are already moving directly into larger platforms or operating environments. Examples include:
• automated generation of CRM workflows
• customised reporting tools
• small internal business applications or data pipelines
• the integration of new capabilities directly into platforms such as Microsoft Office through Copilot
• the embedding of tools into Google Workspace
• the integration of analytics directly within modern data platforms
As a consequence, stand-alone SaaS tools targeting small and mid-sized enterprises may increasingly lose their standalone relevance.
A Parallel Revival in Marketing Technology
At the same time, however, we are currently observing something of a revival in M&A deal flow within the Marketing Technology (MarTech) sector. Companies in this space are sharpening their positioning as a result of recent AI developments and are gaining renewed strategic relevance.
What for many years appeared to be a fragmented toolbox of solutions for campaign management, CRM optimisation and performance tracking is evolving into core infrastructure for data-driven business models.
The objective is no longer merely to support traditional web-based content marketing. Increasingly, companies must ensure that their digital presence remains discoverable and relevant within AI-driven environments, including large language models such as ChatGPT or Gemini.
AI systems rely on structured data, continuous feedback loops and operational application environments—precisely the elements that modern MarTech systems provide. At the same time, AI is transforming these systems from reactive analytics tools into proactive, decision-support platforms.
From Content Infrastructure to AI Growth Infrastructure
This development strongly resembles the early phase of the content-marketing era. At that time, a substantial demand emerged for tools that enabled the creation, distribution and measurement of digital content.
Today we are witnessing a comparable dynamic—but with a decisive difference: AI not only automates processes, it also generates content, personalises customer interactions in real time and autonomously optimises marketing budgets. As a result, marketing technology is evolving into the operational nervous system of AI-driven growth strategies.
A Temporary Window for Investors and M&A
From an M&A and investor perspective, this transformation creates a notable but likely temporary window of opportunity.
Large platform providers possess extensive datasets, established customer bases and powerful integration capabilities. However, they often move more slowly in developing specialised AI functionality. At the same time, venture-backed companies are emerging that develop AI-native marketing solutions—modular, API-driven and rapidly deployable.
For a limited period—potentially around two years—this dynamic creates a competitive equilibrium in which smaller players still have realistic opportunities to gain market share or position themselves as attractive acquisition targets.
Expected Market Dynamics
We therefore expect a phase of increased market activity, characterised by:
• strategic acquisitions aimed at closing AI capability gaps
• vertical integration across the customer journey
• consolidation of fragmented marketing-technology tool landscapes
For both investors and corporates, the implication is clear: organisations that position themselves effectively at the intersection of marketing technology and artificial intelligence today will not only realise efficiency gains but also secure sustainable competitive advantages in increasingly data-driven markets.
Outlook: A Window That May Close Again
The current revival of marketing technology should therefore not be interpreted as a short-term trend, but rather as the expression of a structural shift toward AI-centric value creation models—models in which marketing does not merely communicate but increasingly learns, decides and optimises in real time.
At the same time, it is equally likely that the M&A exit window for such companies could narrow again within the next two years, once major platform providers have absorbed many of the emerging AI capabilities.
If you would like to discuss current developments in the Marketing Technology sector in more detail, please feel free to contact the Technology team at Blue Tree Group via email at advisory@bluetreegroup.com.
Blue Tree Group is an independent investment banking boutique headquartered in Munich, with offices in Munich, Düsseldorf and St. Gallen. The firm advises clients on financing and M&A transactions across three specialised industry groups.
