Marketing Automation Statistics 2026: Adoption and SaaS Waste

Direct Answer

Marketing automation adoption and marketing-stack efficiency are different measurements. In the tech-forward State of Martech 2026 survey, reported AI use-case adoption reached 89% for Content and Experience, 50% for Advertising and Promotions, and 49% for Commerce and Sales. A separate Gartner public summary reported martech utilization at 49%, while enterprise SaaS studies reported waste, visibility, ownership, and pricing-risk measures that should not be relabeled as marketing-only results.

Measurement	Figure	Evidence boundary
Content and Experience AI use cases	89%	State of Martech 2026, tech-forward survey
Advertising and Promotions AI use cases	50%	Same survey
Commerce and Sales AI use cases	49%	Same survey
Martech utilization	49%	Gartner public summary, N not disclosed
Estimated SaaS waste	20%	Flexera ITAM survey, N=512
Unused SaaS licenses	36%	Zylo customer telemetry
Unexpected AI or consumption charges	78%	Separate Zylo survey, N=218

Downloads: CSV · JSON · JSONL

AI Use Cases Grew Across Three Martech Categories

The report’s directional comparison shows broader reported use of AI across content, advertising, and commerce workflows. It compares separate 2024 and 2026 survey waves, so the percentages show the report’s observed direction, not a causal effect or a representative market census.

Advertising and Promotions AI use-case adoption rose from 30% in the report’s 2024 survey to 50% in its 2026 survey.

Commerce and Sales rose from 28% to 49%.

Content and Experience rose from 79% to 89%. Source

The 2026 survey covered 208 marketing and marketing-operations leaders and about 70 AI use cases. The report describes the audience as tech-forward and top-quartile. The denominator and composition of the 2024 comparator were not disclosed in the extracted evidence, so do not present these changes as a population-wide growth rate.

Utilization Is Not the Same as License Waste

Gartner’s public 2025 summary reports martech utilization at 49%. The public page does not disclose respondent count, geography, or the full calculation method. The figure is supporting evidence for a utilization problem, not proof that 51% of spend is wasted. Source

Utilization, active users, adopted features, unused licenses, and wasted spend use different denominators. A defensible automation audit should report each separately:

• tools with an accountable owner;
• paid seats assigned and active;
• core workflows used in the last 30 or 90 days;
• features required by policy or integration even if rarely opened;
• duplicated capabilities and contracts eligible for consolidation;
• spend that can actually be removed at renewal.

Flexera Shows Estimated SaaS Waste Persisting

Flexera respondents at beginner, intermediate, and advanced IT asset-management maturity each estimated SaaS software waste at 20%. This is a respondent estimate from a global survey of 512 ITAM professionals, not observed martech invoice leakage. Source

In the same report, 43% said SaaS wasted spend increased, 42% said it stayed the same, and 15% said it decreased over the previous year. The answers describe perceived direction and are rounded to whole percentages.

These figures are useful as an operational warning: adding automation software without renewal ownership, usage records, and retirement rules can increase the stack faster than teams can govern it.

Visibility and Governance Remain Separate Controls

Flexera reports that complete visibility across IT environments declined from 43% in 2025 to 36% in 2026. Visibility is not utilization, but weak discovery makes duplicate tools and unmanaged renewals harder to detect.

The same survey says 64% of ITAM teams managed SaaS licenses. This does not mean those teams controlled every business-unit purchase or could remove every unused seat. Source

For a marketing team, the practical control is a shared register that names the contract owner, business owner, renewal date, data access, active-user measure, and exit plan for every platform.

Zylo Separates License Use From Portfolio Scale

Zylo reports that organizations left an average of 36% of SaaS licenses unused against its recommended utilization levels. This is first-party customer telemetry, not a probability sample of all companies and not a martech-only rate. Source

The same benchmark reports $55.7 million in average annual SaaS spend and 305 applications in the average portfolio. Large-enterprise customer mix matters: neither value is a sensible target for a small or mid-market company.

Use portfolio telemetry to prioritize review, not to manufacture a universal savings promise. Savings become real only when a seat, contract, or usage charge can be removed without breaking an owned workflow.

AI Pricing Adds Budget Risk

In Zylo’s separate survey of 218 IT leaders, 78% reported unexpected charges tied to consumption-based or AI pricing in the previous 12 months.

61% said unplanned SaaS cost increases forced them to cut projects. These are self-reported budget effects, not invoice-level causal estimates. Source

Automation budgets should therefore include model usage, paid data or tool calls, retries, observability, and human review. The AI agent cost model provides an input worksheet for those components without inventing a universal monthly price.

Decentralized Ownership Changes the Control Model

Zylo reports that business units controlled 81% of SaaS spend while IT directly managed 15%. The result describes the vendor’s observed customer base. It does not imply that decentralization is automatically bad, but it does show why a central inventory alone cannot govern marketing automation.

Zylo also reports that AI-native application spend grew 108% overall and 393% in organizations with more than 10,000 employees. Spend growth is not proof of adoption quality or ROI. Source

The operating model should combine local workflow ownership with central rules for security, measurement, procurement, and renewal evidence.

A Defensible Automation Scorecard

Measure automation as an operated system, not as a count of purchased tools. A compact monthly scorecard can include:

• accepted workflow outputs and the rule for acceptance;
• attempts, retries, exceptions, and manual overrides;
• active users and active workflows by paid platform;
• unit cost per accepted output, including paid tool calls and review time;
• pipeline, retention, or cycle-time outcome linked to the workflow;
• duplicate capabilities and removable spend at the next renewal;
• security owner, business owner, and rollback path.

For architecture and governance context, use the martech stack benchmarks and marketing analytics statistics. For implementation boundaries, see sales automation software.

Methodology and Limitations

• State of Martech 2026: primary report with a February 2026 survey of 208 tech-forward leaders; the 2024 comparison-wave denominator is not disclosed in the extracted evidence.
• Gartner: official public summary of its 2025 survey; the public page does not disclose N or full fieldwork details.
• Flexera: global survey of 512 ITAM professionals from an independently maintained panel; waste values are respondent estimates.
• Zylo telemetry: customer portfolio, license, usage, and spend data covering 40 million-plus licenses and $75 billion-plus in discovered spend.
• Zylo pricing-risk survey: a separate survey of 218 IT leaders; do not merge its denominator with the telemetry population.
• Boundary: enterprise SaaS comparisons are not martech-only benchmarks and cannot be converted into a universal marketing waste or ROI rate.

Last verified: July 14, 2026.

Cite This Research

Tugelbay Konabayev. “Marketing Automation Statistics 2026: Adoption and SaaS Waste.” Konabayev.com. Updated July 14, 2026. https://konabayev.com/blog/marketing-automation-statistics-2026/

Frequently Asked Questions

What percentage of martech is utilized?

Gartner’s public 2025 summary reports 49% utilization, but it does not disclose the public-page sample size or full calculation method. Do not translate the remaining share directly into wasted spend.

Which marketing AI use-case category was highest?

Content and Experience reached 89% in the tech-forward State of Martech 2026 survey. Advertising and Promotions reached 50%, and Commerce and Sales reached 49%. These are advanced-sample figures, not market-wide adoption rates.

How much SaaS is wasted?

Flexera respondents estimated SaaS waste at 20%, while Zylo reported 36% of licenses unused against its recommended utilization levels. The measures and populations differ, so they should not be averaged or treated as interchangeable.

What should a marketing automation audit measure first?

Start with workflow ownership, accepted outputs, active seats, unit cost, exceptions, renewal dates, and removable spend. Tool count alone does not show automation value.