Observed Signal · Mar 30, 2026 · Survey · Source: https://martech.org/feed/ · Impact: 3/5 · Sentiment: Neutral
Survey: Martech Rip-and-Replace Slows in 2025
The 2025 MarTech Replacement Survey reports an unprecedented level of stability in marketing technology stacks: fewer wholesale replacements and shifts in which tools are replaced. SEO tools were the most-replaced category in 2025. The survey found AI influenced many replacement decisions — 37.1% of respondents cited AI capabilities as an important factor and 33.9% said wanting AI was a reason to replace. Replacing commercial martech with homegrown solutions rose to 8.1% of replacements (2024: 3.4%), reflecting growing interest in build-vs-buy driven partly by AI-assisted coding. Cost reduction also surged as a motive: 43.8% cited cost savings (up from ~23% in 2024). The survey polled 207 marketers (154 of whom had replaced a martech app in the prior 12 months).
Market-research survey showing shifts in martech replacement drivers (AI influence, rising homegrown builds, and cost pressures) that affect martech vendor strategy and buyer behavior.
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Key Takeaways & Evidence Grounding
- The 2025 MarTech Replacement Survey polled 207 marketers; 154 (60%) reported replacing a martech application in the prior 12 months.
- SEO tools were the most-replaced martech category in 2025.
- 37.1% of respondents said AI capabilities were an important factor in replacement decisions; 33.9% cited wanting AI as a reason to replace.
- Replacing commercial martech with homegrown solutions accounted for 8.1% of replacements in 2025 (up from 3.4% in 2024 and 5% in 2023).
- 43.8% of marketers who replaced a commercial martech application in 2025 cited cost reduction as a reason (up from 23.0% in 2024).
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Related Market Signals & Shifts
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Martech Replacement Rates Slow Sharply in 2025
Data from the 2025 MarTech Replacement Survey shows a broad slowdown in marketing-technology platform replacement. Major categories saw sharp declines year-over-year: marketing automation replacements fell from 31.1% (2024) to 19.4% (2025), CRM from 22.1% to 9.7%, and email platforms from 24.3% to 13.7%. The article attributes the shift to a maturing SaaS market, stabilizing core categories, and a decision-making emphasis on cost, ROI and integration rather than feature-driven churn. AI interest is rising (37.1% cite AI capabilities as important; 33.9% want AI capabilities) but has encouraged hesitation rather than immediate platform replacement. Overall, the market is moving from innovation-first buying to an efficiency-first, incremental-change posture with longer evaluation cycles and greater focus on extracting value from existing systems.
Martech Stacks Are Getting Messier
A 2025 MarTech Replacement Survey finds organizations are replacing fewer core marketing platforms but continuing to add more point tools, producing larger, more complex stacks. While 59.9% of respondents said they replaced a marketing technology app in the prior year (down from a 69.8% peak in 2022), nearly two-thirds of those replacers increased their total number of applications—62.9% added tools (37.9% added one or two; 21% added three to five; 4% added six or more). The report links this pattern to high switching costs, longer evaluation cycles, and the rise of composable architectures that make layering new tools easier than platform replacement. Respondents cited integration capabilities (37.1%), data centralization (42.7%), and cost (50.8%) as top selection considerations. The article concludes the next phase of martech will focus on stack management, consolidation, and integration.
Marketers Rebuild Martech Stacks for AI and ROI
This analysis argues that marketing organizations are shifting from continually adding point solutions to actively replacing, consolidating, or augmenting their martech stacks. Drivers include functional overlap, integration and data fragmentation costs, rising ROI scrutiny, and rapid AI-driven capability changes that can make specialized tools redundant. The article outlines a 'Martech Replacement Economics' approach—assessing total cost of ownership, migration and organizational costs, AI readiness, security and governance—and proposes a replacement scorecard with criteria such as business value, adoption, integration quality, data accessibility and TCO. It forecasts continuous portfolio optimization supported by AI-powered evaluation, predictive replacement models, capability-based procurement, and modular architectures to enable safer, more strategic modernization.
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