The global AI marketing technology market will nearly triple from $28 billion in 2025 to $74.3 billion by 2031, according to a new Global AI MarTech Market Report covering 2026-2031.

That is the headline number from the report, which identifies three forces driving the growth: agentic AI, platform consolidation, and privacy-first personalization. Together, the report's authors argue, these shifts will reshape how marketing technology stacks are built and bought over the next six years.

What is driving the growth?

The report points to three structural trends rather than a single technology wave:

• Agentic AI — autonomous AI agents that can plan and execute marketing tasks, not just assist with them.
• Platform consolidation — vendors merging point solutions into unified suites as buyers cut tool sprawl.
• Privacy-first personalization — targeting approaches built for a post-cookie, consent-driven regulatory environment.

The common thread: marketing teams are moving budget from standalone tools toward AI-capable platforms that can act with less manual orchestration.

Why does the 2026-2031 window matter?

The report's forecast period starts next year, effectively assuming the current wave of AI adoption in marketing carries through the full six-year horizon. A near-tripling of market value implies a compound annual growth rate in the high teens to low twenties percent range — steep, but consistent with what other AI-adjacent software categories have posted since generative AI went mainstream.

For vendors, the implication is that AI is no longer a feature differentiator. It is table stakes. The report frames consolidation as a direct consequence: smaller point-solution providers face pressure to merge, partner, or be absorbed by suite players that can bundle AI capabilities across the stack.

For buyers — marketing operators, CMOs, growth teams — the practical question shifts from "which AI tool should we add?" to "which consolidated platform do we standardize on, and what does it cost to migrate?"

What does privacy-first personalization mean in practice?

The third pillar of the report addresses a tension every operator knows: personalization performance versus regulatory exposure. Cookie deprecation, consent mandates, and data-protection enforcement have made traditional behavioral targeting harder to defend.

The report positions privacy-first personalization — techniques that deliver individualized experiences without heavy third-party data dependence — as a primary growth engine for the AI MarTech category through 2031. Vendors that solve personalization under privacy constraints, the findings suggest, will capture disproportionate share of the expanding market.

The skeptical read

Near-tripling forecasts deserve scrutiny. Market reports of this kind typically extrapolate current adoption curves, and AI spending has proven cyclical — heavy pilot-phase investment followed by consolidation and cuts when ROI lags expectations. Whether agentic AI delivers measurable returns at scale in marketing operations remains an open question, and the 2031 figure assumes it does.

Still, the direction of travel is hard to dispute. Marketing budgets are moving toward AI-capable, consolidated platforms, and privacy constraints are only tightening. The $74.3 billion question is the pace, not the destination.

Bottom line

The AI MarTech market stood at $28 billion in 2025. The report projects $74.3 billion by 2031, driven by agentic AI adoption, vendor consolidation, and personalization rebuilt for privacy-first constraints. Operators should expect fewer, larger platform decisions and more pressure to prove AI ROI before renewal cycles hit.