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10 Insights for Marketing Leaders from State of Martech 2025

The 2025 martech landscape, with 15,384 tools, reflects rapid AI-driven changes. The State of Martech 2025 report by Scott Brinker and Frans Riemersma offers critical insights for marketing and MOps leaders.

1. Boost Team Technical Skills

Marketing teams increasingly discuss data and infrastructure.
Action: Invest in data literacy and technical training for marketers.

2. Choose Open, Interoperable Platforms

Closed platforms hinder AI integration.
Action: Prioritize tools with robust API integrations for flexibility.

3. Integrate with Cloud Data Warehouses

56.2% of surveyed leaders link martech stacks to cloud data warehouses or lakehouses.
Action: Use these as a universal data layer for comprehensive insights.

4. Run AI on Cloud Data Layers

Most with integrated warehouses run AI apps directly on this layer.
Action: Leverage centralized data for powerful AI applications.

5. Harness Unstructured Data with AI

LLMs excel at analyzing call recordings, emails, and social posts.
Action: Use AI to summarize content and personalize communications.

6. Manage Complex AI-Driven Stacks

AI shifts stacks to probabilistic systems.
Action: Adopt modular architectures, observability, safe-to-fail experiments, human-in-the-loop checks, and cross-functional teams.

7. Shift to Probabilistic Customer Journeys

AI enables dynamic journey mapping via reinforcement learning.
Action: Implement probabilistic techniques for personalized engagement.

8. Focus on Strategy and Creativity

AI automates production and analysis, freeing resources.
Action: Reallocate efforts to strategy and customer experience innovation.

9. Strengthen Marketing Ops and IT Ties

Martech complexity demands robust MOps and IT collaboration.
Action: Invest in MOps and foster IT partnerships.

10. Embrace Speed and Experimentation

Agile methods and “compound marketing” drive AI success.
Action: Promote rapid iteration and experimentation to accelerate gains.

Takeaway

The 2025 martech landscape demands technical skills, open platforms, and agile strategies. Leaders must adapt to leverage AI and drive impact.

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