Scott Brinker’s 2024 Martech Landscape catalogued over 14,000 tools. By early 2025, estimates from ChiefMartec and MartechTribe suggest that number has crept past 14,500, even as hundreds of point solutions quietly disappear each quarter. For B2B marketing leaders, the question is no longer “what tools exist” but “how do we build a stack that actually holds together when half the vendors might not survive the next 18 months?”
The answer is emerging clearly from the teams that perform best: fewer tools, deeper integrations, and a relentless focus on data quality over feature novelty. Here is how that plays out in practice.
The Consolidation Imperative: Why 3-5 Core Platforms Win
Gartner’s 2024 Marketing Technology Survey found that large organisations use an average of 10.2 martech tools but actively rely on only four or five for day-to-day execution. The remaining tools sit underused, generating licence costs and security surface area without meaningful return. A 2025 report from Martech Alliance reinforces this, noting that 62% of B2B teams plan to reduce their total tool count over the next 12 months.
The high-performing pattern is straightforward. Teams consolidate around a CRM (typically Salesforce or HubSpot), a marketing automation platform, an analytics layer, a content or CMS tool, and a data enrichment or intent platform. Everything else connects through APIs or gets eliminated. This is not about buying the biggest suite. It is about choosing platforms that serve as reliable hubs and then integrating selectively.
Consolidation also produces measurable gains. Forrester’s 2025 B2B Marketing Benchmark shows that companies operating with a rationalised stack of five or fewer core tools report 23% higher marketing-attributed pipeline per headcount than those running 10 or more. The reason is simple: less time spent on tool administration means more time spent on strategy, segmentation, and content that converts.
API-First Architecture and the Build-vs-Buy Decision
The shift toward API-first integration is perhaps the most significant architectural change in B2B martech over the past two years. Instead of relying on native, vendor-built connectors (which often lag behind product updates), leading teams now treat APIs as the primary integration layer. iPaaS solutions like Workato, Make, and Tray.io have become standard middleware, allowing marketing operations teams to orchestrate data flows without waiting for vendor roadmaps.
This matters because it reframes the classic build-vs-buy question. In 2025, “build” rarely means writing custom software from scratch. It means assembling workflows from APIs, webhooks, and lightweight custom code to solve a specific problem that no off-the-shelf tool addresses well. A common example: enriching inbound leads with firmographic and intent data before they reach the CRM, using a chain of API calls that would previously have required a dedicated vendor tool.
The practical guideline we use at Data Innovation is this: if a workflow touches three or fewer data sources and requires no ongoing machine learning model, build it. If it requires proprietary data, continuous model training, or regulatory compliance infrastructure (such as email deliverability monitoring), buy a proven solution. The worst outcome is building something internally that works for six months and then becomes unmaintainable when the engineer who created it moves on.
Vendor Risk: What Happens When Your Tool Disappears
The martech landscape’s growth masks a significant churn rate. Research from Frans Riemersma’s MartechTribe indicates that roughly 1,500 to 2,000 martech tools are acquired, sunset, or abandoned each year. For B2B teams, the consequences of relying on a tool that suddenly shuts down or gets acquired and stripped for parts are serious: broken integrations, lost historical data, and emergency migration projects that consume an entire quarter.
Vendor risk assessment needs to be a formal part of your procurement process, not an afterthought. Key indicators worth monitoring include: annual recurring revenue growth (or at least stability), the size and activity of the engineering team (check LinkedIn and GitHub), the vendor’s funding runway, and whether the product has an active API with export capabilities for your data. If a vendor cannot give you a straightforward path to extract your data in a standard format, that is a disqualifying factor regardless of how impressive the feature set looks.
A pragmatic safeguard is to maintain a documented “exit plan” for every tool in your stack. This does not need to be elaborate. A one-page document per tool covering data export procedures, alternative vendors already evaluated, and estimated migration time is enough to turn a potential crisis into a manageable transition.
A Practical Framework for Adding or Removing Tools
Every tool in your stack should earn its place annually. We recommend a four-criteria evaluation framework that applies equally to new procurement decisions and existing tool audits:
1. Revenue Impact. Can you trace the tool’s contribution to pipeline generation, deal velocity, or customer retention with actual data? If the answer relies on assumptions or anecdotal feedback after 12 months of use, the tool is a candidate for removal.
2. Integration Health. Does the tool connect cleanly to your core platforms via API, with data flowing in both directions? Tools that create data silos or require manual CSV exports on a recurring basis impose hidden costs that usually exceed the licence fee.
3. Adoption Rate. What percentage of the intended user base actually uses the tool weekly? Gartner’s data suggests that the average utilisation rate for martech tools is only 33%. If your team is not using it, the tool is not the problem. Either the workflow it supports is not valuable, or the tool is the wrong fit for how your team operates.
4. Vendor Viability. Apply the risk criteria outlined above. A tool can score well on the first three factors and still represent an unacceptable risk if the vendor is burning cash with no clear path to sustainability.
Run this evaluation quarterly for your top five tools and annually for everything else. The discipline of regular review prevents stack bloat far more effectively than any one-time audit.
Practical Takeaways for 2025-2026
Consolidate deliberately. Identify your three to five core platforms, invest in configuring them properly, and resist the temptation to add point solutions for every new use case that arises.
Design for portability. Choose tools with robust APIs and clean data export. Your future self will thank you when a migration becomes necessary.
Formalise vendor risk assessment. A simple exit plan per tool, reviewed annually, is the minimum standard for a professional marketing operations function.
Evaluate ruthlessly. Apply the four-criteria framework above. Every tool that does not demonstrably contribute to revenue or operational efficiency is a drag on your team’s capacity.
Prioritise data quality over feature quantity. The most sophisticated martech stack in the world produces poor results when built on inconsistent, duplicate, or outdated data. Clean CRM data and strong email deliverability are foundational, not optional.
If your martech stack has grown faster than your ability to manage it, or if you suspect your CRM data and deliverability infrastructure need a thorough review, Data Innovation offers a free diagnostic consultation. Our team in Barcelona works with B2B organisations across Europe to rationalise martech environments, improve data quality, and ensure that every tool in the stack earns its place. Book your free consultation here and let us help you build a stack that performs as well as it looks on paper.