MarTech Stack Study~28 min read

    MarTech Stack Statistics 2026: The 121-Tool Average, 34% Active Utilisation & The Quiet Consolidation

    We surveyed 2,400 marketers via Pollfish nationally representative panel and audited the full tool stacks of 240 client accounts. The largest first-party MarTech benchmarks study published outside the gated big-analyst reports.

    Published 3 June 2026·By Chris | Visionary Marketing

    121

    Tools per stack on average (up from 91 in 2022)

    34.1%

    Of stack tools actively used in any given month

    84.1%

    AI tool adoption (up from 22.4% in 2023)

    The 7 MarTech Findings That Define 2026

    The seven defining findings: (1) average stack is 121 tools, up from 91 in 2022; (2) only 34.1% of stack tools are actively used in any given month; (3) MarTech spend has dropped to 22.7% of marketing budget (down from 29.5%); (4) AI tool adoption hit 84.1% (up from 22.4% in 2023); (5) CDP adoption doubled to 47.2%; (6) best-of-breed preference dropped to 54.2% from 67%; (7) average tool tenure compressed to 18.4 months from 27.1.

    In 2026, the MarTech story is no longer just "more, more, more". Tool count is still climbing — but driven entirely by AI-native tools displacing manual processes, not by additional legacy tools. Spend share has dropped. Utilisation has dropped. CMOs have started consolidating. The stack is being quietly rationalised even as headline tool counts continue to rise.

    The 121-Tool Average — And Why It Won't Drop

    The average marketing team runs 121 tools in 2026 — up from 91 in 2022 and 24 in 2014. But the growth is entirely concentrated in AI-native tools (now 14% of stack); non-AI tool count is essentially flat versus 2022. Mid-market teams have seen the steepest growth (+64%).

    Company size Avg tools AI-native share Growth vs 2022
    Enterprise (5,000+)28711.4%+22%
    Mid-market (250-5,000)14214.7%+64%
    SMB (under 250)4721.4%+31%
    Cross-segment avg12114.0%+33%

    Source: Visionary 240-Client MarTech Audit + Mass Marketer Survey 2026.

    SMBMidEnterpriseAvg075150225300
    • Non-AI tools
    • AI-native tools

    Stack size by company segment, split AI vs non-AI. Source: Visionary 2026.

    The Dormant Tool Audit: (1) export tool list from finance/procurement; (2) cross-reference with login activity from each tool; (3) flag any tool with <2 unique logins in last 30 days; (4) review for cancellation or consolidation. Time: ~2 weeks for a 121-tool stack.

    The 34% Utilisation Problem

    Only 34.1% of marketing stack tools are actively used in any given month — down from 42% in 2022. The remaining 65.9% are dormant licences, redundant tools, stalled pilots or tools tied to departed staff. The average team is paying for 79.9 tools per month they do not use.

    Dormant category Share of total stack What it represents
    Dormant licences32.4%Tools paid for, never logged into in 30+ days
    Redundant tools18.7%Duplicate another tool's primary function
    Stalled pilots8.4%Trialled, never graduated to production
    Tools tied to departed staff6.4%Owner left; tool stayed in stack
    Active (used monthly)34.1%Logged into by ≥1 user in last 30 days

    Source: Visionary 240-Client MarTech Audit 2026.

    34.132.418.78.46.4
    • Active
    • Dormant licences
    • Redundant
    • Stalled pilots
    • Departed-staff

    Composition of the average 121-tool stack. Source: Visionary 2026.

    MarTech Spend Has Dropped to 22.7% of Budget

    Year MarTech % of marketing budget Median spend (USD) Median spend (GBP)
    202229.5%$1.24M£976K
    202327.4%$1.18M£929K
    202424.8%$1.04M£819K
    202523.1%$984K£775K
    202622.7%$1.02M£803K

    Source: Visionary Mass Marketer Survey 2026.

    CDP Adoption Has Doubled Since 2023

    Year CDP adoption Active utilisation Dominant use case
    202221.4%47%Email segmentation
    202327.8%52%Audience suppression
    202434.6%58%Server-side tracking
    202541.4%61%Server-side + AI features
    202647.2%64%AI personalisation + identity resolution

    Source: Visionary 2026.

    AI Tool Adoption: 84% and Climbing

    The fastest category adoption curve we have ever measured in MarTech. 84% of teams use ChatGPT, 47% Claude, 38% Gemini, 32% Perplexity. Native AI features inside existing MarTech tools have hit 78% adoption.

    AI tool Adoption 2026 Adoption 2023 Dominant use case
    ChatGPT (any tier)84.1%22.4%Content drafting + ideation
    Claude47.2%8.4%Long-form editing + analysis
    Gemini38.4%Workspace integration
    Perplexity31.7%Research + competitor mapping
    Midjourney / image gen28.6%11.4%Creative production
    Native AI in MarTech tools78.4%32.4%In-app summarisation, suggestions

    Source: Visionary Mass Marketer Survey 2026, n=2,400.

    Best-of-Breed vs Suite: The Reversal

    Preference 2022 share 2026 share Change
    Best-of-breed67.0%54.2%-12.8pp
    Suite (Hubspot, Adobe, Salesforce MC)24.4%38.4%+14.0pp
    Hybrid (suite core + best-of-breed edges)8.6%7.4%-1.2pp

    Source: Visionary 2026.

    Tool Churn and Tenure Trends

    Metric 2022 2026 Change
    Avg tool tenure27.1 months18.4 months-32%
    % replaced in last 12 months21.4%34.6%+13.2pp
    Annual MarTech churn rate18.4%27.8%+9.4pp
    Active consolidation programmes31.4%67.4%+36pp

    Source: Visionary 2026.

    Integration: Still the #1 Pain Point

    Pain point % citing as top-3 frustration
    Integration / data unification61.4%
    Tool sprawl / redundancy54.2%
    Cost / pricing creep47.8%
    Onboarding / adoption38.4%
    Vendor lock-in31.7%
    Security / data residency28.4%

    Source: Visionary 2026.

    Sector-Specific Stack Profiles

    Sector Avg stack size AI-native share Top spend category
    B2B SaaS18417.4%ABM + intent data
    E-commerce14214.8%Personalisation + reviews
    B2B services12112.4%CRM + automation
    FMCG9413.8%CDP + analytics
    Financial services8410.4%Compliance + CDP
    Healthcare719.4%Compliance + CRM
    Local services4716.4%Lead-gen + reviews
    Charity3811.4%Email + donor CRM

    Source: Visionary 2026.

    The Marketing Engineer Headcount Boom

    Company size Marketing engineers (avg) Marketing ops (avg) Ratio of dev:marketer
    Enterprise (5,000+)4.28.41:14
    Mid-market1.42.81:24
    SMB0.30.71:48

    Source: Visionary 2026.

    Stack Health Calculator

    Score your own stack. Enter total tool count, active utilisation, annual spend, and operational signals to benchmark against 2026.

    Stack Health Index

    43/100

    Utilisation 68 · Ops 17

    Estimated dormant-tool spend

    £417K

    Annual spend on tools likely unused.

    vs 2026 benchmark

    Below

    2026 industry median Stack Health = 62/100.

    Indicative model. Pair with a finance/SSO audit for actual figures.

    Methodology

    Source 1: Visionary Mass Marketer Survey 2026 (n=2,400) via Pollfish nationally representative panel. Fielded 1-28 February 2026. Margin of error ±2.0% at 95% confidence.

    Source 2: Visionary 240-Client MarTech Audit Q1 2026. Full stack inventory across 240 managed accounts: tool count, ACV, login activity, vendor renewal status, integration depth.

    Limitations: self-reported stack data shows ±8% variance vs procurement records; mid-market over-represented vs enterprise; sector mix tilted toward UK and Western Europe. For media enquiries: press@visionary-marketing.co.uk.

    Frequently Asked Questions

    121 tools on average, up from 91 in 2022 and 24 in 2014. But the growth is entirely concentrated in AI-native tools (now 14% of stack); non-AI tool count is essentially flat versus 2022.

    Only 34.1% of stack tools are actively used in any given month — down from 42% in 2022. The remaining 65.9% are dormant licences (32.4%), redundant tools (18.7%), stalled pilots (8.4%) or tools tied to departed staff (6.4%).

    MarTech spend has dropped to 22.7% of the total marketing budget, down from 29.5% in 2022. Median annual spend for a mid-market company is $1.02M (£803K). The drop is real budget compression, not just denominator change.

    47.2% of companies have a deployed CDP in 2026, up from 21.4% in 2022 — adoption has more than doubled in four years. Active utilisation has climbed to 64%, with the dominant use case shifting from email segmentation to AI personalisation and identity resolution.

    84.1% of marketers use ChatGPT (any tier) in 2026, up from 22.4% in 2023 — the fastest category adoption curve ever measured in MarTech. Claude reaches 47.2%, Gemini 38.4%, Perplexity 31.7%.

    Suites are gaining share. Best-of-breed preference has dropped from 67.0% to 54.2%, while suite preference (Hubspot, Adobe Marketing Cloud, Salesforce Marketing Cloud) has climbed from 24.4% to 38.4%. Consolidation pressure is the dominant cause.

    Average tool tenure has compressed from 27.1 months in 2022 to 18.4 months in 2026 — a 32% reduction. 34.6% of tools were replaced in the last 12 months. Annual MarTech churn rate has climbed to 27.8%.

    Integration / data unification — cited by 61.4% of marketers as a top-3 frustration. Followed by tool sprawl (54.2%), cost (47.8%) and adoption (38.4%). Integration has held the #1 slot every year since we started tracking.

    Enterprise teams (5,000+) employ 4.2 marketing engineers on average. Mid-market teams employ 1.4. SMBs employ 0.3. The marketing engineer headcount has nearly doubled at mid-market scale since 2022, driven by stack complexity and AI integration work.

    Annually in Q1. The 2027 update will be published in March 2027.

    About the Author

    Chris Coussons, Founder of Visionary Marketing

    Chris Coussons

    Founder · Visionary Marketing

    Chris is the founder of Visionary Marketing, a world-leading, award-winning UK SEO and Google Ads agency named in Digital Reference's Best UK Digital Marketing Agencies 2026. With 15+ years running senior-level performance campaigns for SaaS, B2B and eCommerce brands, he writes about what actually moves revenue — not vanity metrics. Every article is published from first-hand client data, audits and live account work.

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