MarTech focus shifts to integration

- Demand Gen Report says martech buyers are moving from adding tools to prioritizing integration and streamlined systems. - The brief highlights AI and connected stacks as efficiency drivers instead of constant platform churn. - That trend puts a premium on analysts who can join, normalize, and report across multiple data sources. (demandgenreport.com)

Marketing teams are buying fewer point solutions and spending more energy wiring the tools they already own together. (demandgenreport.com) Demand Gen Report said that shift is showing up in martech buying now, with connected systems and artificial intelligence framed as efficiency plays instead of reasons to keep adding platforms. The publication’s April 21, 2026 brief said buyers are prioritizing streamlined stacks over constant tool churn. (demandgenreport.com) The backdrop is a market that kept expanding even as buyers tried to simplify. Scott Brinker and Frans Riemersma counted 14,106 marketing technology products in the 2024 landscape, up 27.8% from 11,038 a year earlier, with only 2.1% churn from 2023 to 2024. (chiefmartec.com) Big catalogs of tools have not translated into heavy use. Gartner said its 2025 Marketing Technology Survey found martech utilization fell to 49%, and only 15% of organizations qualified as high performers that met strategic goals and showed positive return on investment. (gartner.com) Consultants are describing the same bottleneck in plainer terms: too many systems, too little connection. McKinsey said in October 2025 that 47% of martech decision-makers cited stack complexity and system and data integration problems as key blockers to getting value from their tools. (mckinsey.com) That has pushed “composable” stacks — setups built from interchangeable parts linked by application programming interfaces, data warehouses, and workflow layers — closer to the center of martech planning. Brinker and Riemersma’s 2024 state-of-martech report devoted a full section to composability, integrations, and data clouds, lakes, and warehouses inside modern stacks. (chiefmartec.com) Artificial intelligence raises the stakes because models work better when customer, campaign, and revenue data are joined into one usable flow. Gartner said high-performing organizations are prioritizing composable stacks, capability-based measurement, and templated operations that artificial intelligence agents can run inside. (gartner.com) The hiring implication is straightforward: analysts and operations specialists who can clean fields, match records, and report across customer relationship management, advertising, web, and automation systems are becoming more valuable than teams that only know one dashboard. McKinsey said the next phase of martech “demands talent” that can unlock value from the system, not just add capabilities to it. (mckinsey.com) So the martech race is shifting from collecting logos to making data move. In a market still adding thousands of products, the harder job now is getting the stack to act like one system. (demandgenreport.com)

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