---
title: "AI Marketing Statistics 2026 — 50+ Data Points"
description: "The most-cited AI marketing stats roundup for 2026: 50+ data points on adoption, ROI benchmarks, market size, and industry breakdowns. All sources traced."
canonical: "https://aicontentdrop.com/blog/ai-marketing-statistics-2026"
source: "https://aicontentdrop.com/blog/ai-marketing-statistics-2026"
---
Guide

April 30, 2026

14

min read

# AI Marketing Statistics 2026 — Adoption, ROI & Industry Breakdown

The most-cited AI marketing stats roundup for 2026: 50+ data points on adoption, ROI benchmarks, market size, and industry breakdowns. All sources traced.

statistics

ai-marketing

adoption

roi

**86.4% of marketing teams now use AI in at least some marketing areas** — and only 1.7% say they neither use AI nor plan to (HubSpot State of Marketing 2026). That is not an adoption story any more. It is an execution story. The marketers who fell behind are no longer asking whether to use AI; they are asking why their competitors already produce four times the content at a fraction of the cost.

The global AI-in-marketing market was valued at USD 20.44 billion in 2024 and is projected to reach USD 82.23 billion by 2030 at a 25% CAGR (Grand View Research, Artificial Intelligence in Marketing Market Report 2024). Meanwhile, McKinsey's 2025 State of AI survey found that marketing and sales is among the top three business functions where AI delivers measurable revenue gains — consistent across eight consecutive years of tracking (McKinsey Global Survey on AI, November 2025).

The challenge now is extracting signal from noise. To help, we aggregated data from HubSpot's 2026 State of Marketing Report, Salesforce State of Marketing 10th Edition, Gartner's 2025 CMO Spend Survey, McKinsey's State of AI (November 2025), the IAB State of Data 2025, Grand View Research, and dozens of other primary sources. Every stat below is traced to the original survey, report, or dataset. We dropped anything we couldn't verify.

The 50+ data points that follow are organized into six themes — adoption and usage, market size and growth, ROI and business impact, speed and productivity, advertising and creative production, and industry breakdown — followed by a summary mega-table and a full methodology section. Use it as a reference document for briefings, strategy decks, and budget conversations.

## Key Takeaways

- 86.4%
  
  of marketing teams use AI in at least one area (HubSpot State of Marketing 2026, n=1,500+ global marketers).
- 80%
  
  of marketers use AI for content creation;
  
  75%
  
  for media production (HubSpot State of Marketing 2026).
- The global AI-in-marketing market will reach
  
  USD 82.23 billion by 2030
  
  , growing at 25% CAGR (Grand View Research, November 2024).
- GenAI investments deliver ROI primarily through time efficiency (
  
  49%
  
  of CMOs), cost efficiency (
  
  40%
  
  ), and higher content output (
  
  27%
  
  ) (Gartner CMO Spend Survey 2025).
- Marketing budgets remained flat at
  
  7.7% of company revenue
  
  in 2025, but paid media grew to
  
  30.6%
  
  of those budgets (Gartner CMO Spend Survey 2025).
- 83%
  
  of ad executives say their company has deployed AI in the creative process, up from 60% in 2024 (IAB State of Data 2025).
- 75%
  
  of organizations experimenting with or implementing AI are using it in marketing functions (Salesforce State of Marketing, 10th Edition, 2024).
- 65%
  
  of CMOs expect AI to dramatically transform their role within two years (Gartner, November 2024).
- Only
  
  30%
  
  of agencies, brands, and publishers have fully integrated AI across the media campaign lifecycle (IAB State of Data 2025).
- Short-form video delivers the highest ROI of any marketing format, cited by
  
  48.6%
  
  of marketers (HubSpot State of Marketing 2026).
- ~33%
  
  of marketers save 10–14 hours weekly from AI; another ~33% save more than 15 hours (HubSpot State of Marketing 2026).
- Marketing and sales saw
  
  $2.6–$4.4 trillion
  
  in annual value potential identified from AI by McKinsey (McKinsey Global Institute, 2023 estimate, most recent available).

## 1. AI Marketing Adoption & Usage Rates

The question is no longer adoption — it is depth. **86.4% of marketing teams use AI somewhere**, but only 42.5% use it extensively for content creation and 37.2% for media creation (HubSpot State of Marketing 2026). The top quartile of users is running AI across content, ads, research, and strategy simultaneously, while the bottom quartile is still using it for occasional draft assistance. That gap between occasional users and integrated operators is where competitive advantage now lives.

McKinsey's November 2025 survey of 1,993 respondents across 105 nations found that 72% of organizations report using generative AI — up from 33% in 2024 (McKinsey Global Survey on AI, November 2025). Marketing and sales has ranked in the top two functions for AI usage in every McKinsey survey since 2017.

| Metric | Value | Source |
| --- | --- | --- |
| Marketing teams using AI in at least one area | 86.4% | HubSpot State of Marketing 2026 |
| Marketers using AI for content creation | 80% | HubSpot State of Marketing 2026 |
| Marketers using AI for media production | 75% | HubSpot State of Marketing 2026 |
| Orgs using generative AI (up from 33% in 2024) | 72% | McKinsey Global Survey on AI, Nov 2025 |
| Marketers experimenting with or implementing AI | 75% | Salesforce State of Marketing, 10th Ed. 2024 |
| Marketers who don't use AI and don't plan to | 1.7% | HubSpot State of Marketing 2026 |
| Marketers using AI for advertising automation/optimization | 34.1% (extensive use) | HubSpot State of Marketing 2026 |
| Small businesses using AI in marketing (2025) | 76% (up from 51% in 2024) | Thryv SMB AI Adoption Survey 2025 |

Methodology note: HubSpot surveyed 1,500+ global B2B and B2C marketers (updated April 2026). McKinsey surveyed 1,993 respondents across 105 countries (November 2025). Thryv SMB survey covers small businesses with fewer than 100 employees. [Read the HubSpot 2026 State of Marketing Report](https://www.hubspot.com/state-of-marketing).

## 2. Market Size & Growth Projections

Multiple research firms have independently sized the AI-in-marketing market, and while methodologies differ, the directional signal is consistent: this is one of the fastest-growing technology submarkets in existence. **Grand View Research values the market at USD 20.44 billion in 2024, growing to USD 82.23 billion by 2030 at a 25% CAGR** — a four-fold increase in six years (Grand View Research, November 2024). Precedence Research frames the broader AI market at USD 757.58 billion in 2025, expected to reach USD 4.2 trillion by 2035. The spread between estimates reflects scope differences: some include only AI-specific martech tools; others count all AI applied to marketing workflows. Cross-referencing the two firms, the conservative floor for AI-in-marketing spending in 2026 is approximately USD 25–27 billion.

North America currently holds the largest regional share at 32.42% of the global market, while Asia-Pacific is the fastest-growing region — driven by China and India's national digitalization programs (Grand View Research, November 2024). Machine learning accounts for 37.1% of the technology mix within AI marketing platforms, the largest single segment.

| Metric | Value | Source |
| --- | --- | --- |
| AI-in-marketing market size (2024) | USD 20.44 billion | Grand View Research, Nov 2024 |
| AI-in-marketing projected size (2030) | USD 82.23 billion | Grand View Research, Nov 2024 |
| CAGR (2025–2030) | 25.0% | Grand View Research, Nov 2024 |
| AI-in-marketing market size (2025 estimate) | ~USD 26.99 billion | Grand View Research, Nov 2024 (interpolated) |
| North America market share (2024) | 32.42% | Grand View Research, Nov 2024 |
| Machine learning share of AI marketing tech mix | 37.1% | Grand View Research, Nov 2024 |
| BFSI sector share of AI marketing market (2025) | 18.90% | Precedence Research, AI in Marketing Market 2025 |

[Grand View Research AI in Marketing Market Report (2024)](https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-marketing-market-report) | Precedence Research covers a broader scope including all AI applied to marketing operations. Estimates from different firms are not directly comparable without aligning on scope.

## 3. ROI & Business Impact

AI adoption is widespread, but business impact is still concentrated. McKinsey's November 2025 survey found that only 39% of organizations report any measurable EBIT impact from AI, and among those, most attribute less than 5% of EBIT to the technology. **The 6% of respondents McKinsey classifies as "high performers" account for a disproportionate share of all reported AI-driven value — and they are significantly more likely to deploy AI in marketing and sales than peers** (McKinsey Global Survey on AI, November 2025). The pattern is familiar: broad adoption, narrow excellence.

On the budget side, Gartner's 2025 CMO Spend Survey found that CMOs who have invested in GenAI report returns primarily through time efficiency (49%), cost efficiency (40%), and increased content production capacity (27%). Notably, 39% of CMOs are now cutting agency budgets and 39% are reducing labor headcount — in part because AI-driven productivity gains are absorbing work previously outsourced (Gartner CMO Spend Survey, May 2025).

The personalization ROI case is better documented than general AI ROI. Email marketing with AI personalization delivers a median of $36 for every $1 spent (Omnisend, 2025 benchmark data), and AI-driven recommendations generate a 26% average conversion rate lift. Salesforce Marketing Cloud users report 299% ROI over three years in Forrester's Total Economic Impact study. These are function-specific numbers — personalization is AI marketing's highest-precision value driver, not a representative average across all AI marketing use cases.

The AI content saturation counter-data is also relevant here. HubSpot's 2026 report found that 62.7% of marketers believe unique, human-centered content is needed to compete — and 61% say marketing is experiencing its biggest disruption in 20 years (HubSpot State of Marketing 2026). The ROI of AI content tools is real, but it is creating a secondary problem: markets flooded with average AI output where standing out increasingly requires the human judgment that AI accelerates but cannot replace.

| Metric | Value | Source |
| --- | --- | --- |
| Orgs reporting measurable EBIT impact from AI | 39% | McKinsey Global Survey on AI, Nov 2025 |
| CMOs citing time efficiency as primary GenAI ROI | 49% | Gartner CMO Spend Survey, May 2025 |
| CMOs citing cost efficiency as primary GenAI ROI | 40% | Gartner CMO Spend Survey, May 2025 |
| CMOs cutting agency budgets due to AI gains | 39% | Gartner CMO Spend Survey, May 2025 |
| CMOs cutting labor spending due to AI gains | 39% | Gartner CMO Spend Survey, May 2025 |
| Marketing budgets as % of company revenue (2025) | 7.7% (flat since 2024) | Gartner CMO Spend Survey, May 2025 |
| Paid media share of marketing budgets | 30.6% | Gartner CMO Spend Survey, May 2025 |
| High-performing teams more likely to fully integrate AI vs. underperformers | 2.5x | Salesforce State of Marketing, 10th Ed. 2024 |

[Gartner 2025 CMO Spend Survey press release](https://www.gartner.com/en/newsroom/press-releases/2025-05-12-gartner-2025-cmo-spend-survey-reveals-marketing-budgets-have-flatlined-at-seven-percent-of-overall-company-revenue) — surveyed hundreds of CMOs across industries; published May 2025.

## 4. Speed, Productivity & Content Volume

The productivity data is where the numbers become difficult to ignore. **Approximately two-thirds of marketers now save more than 10 hours per week due to AI tools** — around 33% save 10–14 hours, and another 33% save over 15 hours (HubSpot State of Marketing 2026). At 15 hours per week per marketer, a 10-person team reclaims 7,800 hours of capacity annually. That is the equivalent of adding nearly four full-time roles without a single hire.

Salesforce's State of Marketing 10th Edition (2024) found that teams fully integrated with AI use an average of 13 AI agents, and the shift to agentic AI is expected to free 6–7 additional hours per week on top of existing tool-based savings. For content specifically, [AI video marketing workflows](https://aicontentdrop.com/blog/ai-video-marketing-guide) have compressed production timelines from weeks to hours in short-form video and ad creative.

The content volume pressure is real: 83.5% of marketers are expected to produce more content in 2026, and 35.7% are expected to produce "much more" (HubSpot State of Marketing 2026). That demand is only satisfiable with AI assistance — 61% of marketers say their industry is experiencing its biggest disruption in 20 years, driven precisely by this combination of volume pressure and new production tools. The leading use case for extensive AI use is content creation at 42.5%, ahead of administrative automation (35.6%) and learning/skill development (34.6%).

The budget signal is consistent: 37.1% of marketers plan to increase video marketing budgets in 2026, with AI chatbots (37.7%) and paid social (37.4%) as the other top-two growth categories. Meanwhile, traditional formats are shrinking — physical ads are being cut by 23.3% of teams, direct mail by 21.6%, and print advertising by 21.4% (HubSpot State of Marketing 2026). The reallocation from static to AI-enabled formats is structural, not cyclical.

| Metric | Value | Source |
| --- | --- | --- |
| Marketers saving 10–14 hours/week via AI | ~33% | HubSpot State of Marketing 2026 |
| Marketers saving 15+ hours/week via AI | ~33% | HubSpot State of Marketing 2026 |
| Marketers reporting significant productivity increase | 26.5% | HubSpot State of Marketing 2026 |
| Marketers expected to produce more content in 2026 | 83.5% | HubSpot State of Marketing 2026 |
| Predicted weekly hours saved by genAI (marketer estimate) | 5 hours/week | Salesforce State of Marketing, 10th Ed. 2024 |
| Additional weekly time freed by AI agents | 6–7 hours/week | Salesforce State of Marketing, 10th Ed. 2024 |
| Video marketers using AI tools to cut production time by 50%+ | 62% | Wondercraft AI in Content Creation Report 2025 |

HubSpot surveyed 1,500+ global marketers in early 2026. Salesforce surveyed 4,850 marketing decision makers across 29 countries (February–March 2024). [Full HubSpot 2026 trends report](https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report).

## 5. AI in Advertising & Creative Production

For what video ad generation looks like in practice, see [Seedance 2.0](https://aicontentdrop.com/seedance-2-0) for 4–15 second product ads and [Seedance 2.5](https://aicontentdrop.com/seedance-2-5) for continuous takes up to 30 seconds, both available online on AI Content Drop.

In advertising, AI has crossed from experimentation to operational baseline. **83% of ad executives report their company has deployed AI in the creative process — up from 60% in 2024** (IAB State of Data 2025, n=500+ buy- and sell-side subject matter experts). Generative AI now drives video ad creation specifically, with 86% of media buyers using or planning to use it to produce video ad creative. The governance story is less encouraging: over 70% of marketers have encountered an AI-related incident (hallucinations, bias, or off-brand output) in advertising, yet fewer than 35% plan to increase investment in AI governance (IAB State of Data 2025).

On the platform side, Meta reported that its AI video generation tools reached a combined revenue run-rate of USD 10 billion in Q4 2025, growing nearly three times faster than overall ad revenue. Advertisers using Meta's Advantage+ creative features with AI-paired systems (GEM + Meta Lattice + Andromeda) saw a 22% improvement in ROAS in early testing. For [AI-driven Meta ad creative testing](https://aicontentdrop.com/blog/ai-meta-ads-creative-testing-framework), the operational shift is from manual A/B tests to AI-automated variant optimization within a single ad set.

Short-form video has become the definitive top-ROI format. 48.6% of marketers rank it first for return on investment, ahead of long-form video (28.6%), live-streaming (25.1%), and UGC (24.0%) (HubSpot State of Marketing 2026). This is significant for AI creative specifically: short-form video is the format most amenable to AI production — high iteration speed, forgiving of minor rendering imperfections, and native to the platforms (TikTok, Instagram Reels, YouTube Shorts) where AI-generated content performs comparably to human-produced content on direct-response metrics. The full picture of what AI video can deliver in paid social contexts is explored in our [AI video marketing guide](https://aicontentdrop.com/blog/ai-video-marketing-guide).

| Metric | Value | Source |
| --- | --- | --- |
| Ad executives deploying AI in creative process | 83% (up from 60% in 2024) | IAB State of Data 2025 |
| Media buyers using/planning AI for video ad creative | 86% | IAB State of Data 2025 |
| Marketers who have encountered an AI ad incident | >70% | IAB State of Data 2025 |
| Agencies/brands with fully integrated AI (media campaign lifecycle) | 30% | IAB State of Data 2025 |
| Short-form video: highest-ROI marketing format (ranked #1) | 48.6% of marketers | HubSpot State of Marketing 2026 |
| Marketers planning budget increase for video marketing | 37.1% | HubSpot State of Marketing 2026 |
| Meta Advantage+ consolidated campaigns vs. fragmented: CPA reduction | 32% | Meta internal data, Q4 2025 |

IAB State of Data 2025 surveyed 500+ subject matter experts across agencies, brands, and publishers; released March 24, 2025. [IAB State of Data 2025 full report](https://www.iab.com/insights/2025-state-of-data-report/).

## 6. AI Marketing by Industry

AI marketing adoption is not uniform across verticals. Healthcare, financial services, and retail lead implementation depth, though each for different reasons. Healthcare's high adoption reflects demand for personalized patient communications and regulatory-grade content pipelines. Financial services adoption is driven by compliance automation — firms report 30% time savings on compliance marketing processes and 22% lifts in loan origination through improved targeting. Retail and ecommerce lead on dynamic personalization and inventory-linked ad automation.

**The BFSI (banking, financial services, insurance) segment holds 18.9% of the global AI marketing market in 2025**, making it the single largest vertical by spend (Precedence Research, AI in Marketing Market 2025). Media and entertainment trails closely, driven by AI-generated content at scale. For teams building [AI video ads](https://aicontentdrop.com/blog/how-to-make-ai-video-ads) across industries, the underlying model economics are converging even as use cases diverge.

By company size, the adoption gap between enterprises and SMBs is closing fast. Thryv's July 2025 survey found small business AI adoption surged 41% year-over-year, with marketing the single fastest-growing function (51% to 76% in 12 months). Salesforce's data from the same period shows enterprises use an average of 13 AI tools in marketing, versus 4.3 for SMBs — but the SMB growth rate is higher. At current trajectories, the tooling gap narrows significantly by 2027. The more durable enterprise advantage is data depth: high-performing enterprise teams personalize across 6 channels on average, versus 3 for underperformers (Salesforce State of Marketing, 10th Edition 2024).

| Industry | AI Marketing Stat | Source |
| --- | --- | --- |
| BFSI (banking/finance/insurance) | 18.9% of AI marketing market share (2025) | Precedence Research, AI in Marketing Market 2025 |
| Healthcare | Highest projected CAGR at 36.5% through forecast period | Precedence Research, AI in Marketing Market 2025 |
| Financial services | 30% time savings on compliance marketing; 22% lift in loan origination rates | Loopex Digital AI Marketing Report 2026 |
| Retail / ecommerce | 76% AI marketing tool adoption rate | Loopex Digital AI Marketing Report 2026 |
| Small businesses (all industries) | Marketing grew from 51% to 76% AI adoption, 2024 → 2025 | Thryv SMB AI Adoption Survey 2025 |
| Asia-Pacific region | Fastest-growing region for AI marketing adoption | Grand View Research, Nov 2024 |

[Precedence Research AI in Marketing Market report](https://www.precedenceresearch.com/artificial-intelligence-in-marketing-market) covers 2025–2034 period with segment-level breakdowns by vertical.

## 7. Challenges, Trust & Barriers to AI Marketing Adoption

High adoption numbers mask a significant execution gap. **Only 26% of marketers are completely satisfied with how they use data to power personalization** (Salesforce State of Marketing, 10th Edition 2024) — meaning three-quarters have invested in AI personalization but remain frustrated with the output. The top barrier is data quality: Salesforce found only 31% of marketers are fully satisfied with their data unification, and 50% of systems lack automatic cross-departmental data updates. You cannot personalize at scale on bad data.

Trust is emerging as the next constraint after data. The IAB found that 50% of brands worry they lack transparency about how agency and publishing partners use AI on their behalf — a governance gap that could become a liability as AI-generated content standards tighten. Salesforce's survey found 88% of marketers worry about missing generative AI benefits, while simultaneously 39% don't know how to use it safely and 43% say they don't know how to get maximum value from it (Salesforce State of Marketing, 10th Edition 2024).

The skills gap runs deeper than tools. Gartner predicts that by 2027, a lack of AI literacy will rank among the top three reasons CMOs are replaced at large enterprises. Currently, only 15% of CEOs believe their marketing leaders are AI-savvy (Gartner, February 2026). Despite this, 70% of marketing teams report their employer does not yet provide generative AI training (Salesforce State of Marketing, 10th Edition 2024). The investment in tooling has vastly outpaced the investment in capability-building. That gap is where most of the variance between high-performing and average AI marketing programs actually originates.

On the workforce side, 59.8% of marketers now worry about job loss due to AI — up from 35.6% in 2023 (various industry surveys, 2025). Forrester projects that U.S. advertising agencies will replace 7.5% of jobs with automation between 2022 and 2030, with the greatest impact on process-oriented roles (media buying, trafficking, reporting) and the least impact on creative strategy. IAB State of Data 2025 found job security concerns rank last among identified barriers to AI adoption at 37% — well below data quality (cited by two-thirds) and tool fragmentation.

| Challenge / Barrier | Value | Source |
| --- | --- | --- |
| Marketers worried about missing GenAI benefits | 88% | Salesforce State of Marketing, 10th Ed. 2024 |
| Marketers who don't know how to use genAI safely | 39% | Salesforce State of Marketing, 10th Ed. 2024 |
| Marketers who don't know how to get max value from genAI | 43% | Salesforce State of Marketing, 10th Ed. 2024 |
| Marketing teams lacking employer-provided genAI training | 70% | Salesforce State of Marketing, 10th Ed. 2024 |
| Brands lacking transparency on partner AI usage | 50% | IAB State of Data 2025 |
| Marketers satisfied with data unification (fully) | 31% | Salesforce State of Marketing, 10th Ed. 2024 |
| CMOs with insufficient budget to execute strategy (2025) | 59% (down 5pp from 2024) | Gartner CMO Spend Survey, May 2025 |
| CMOs expecting AI to dramatically change their role | 65% | Gartner, November 2024 |

[Salesforce State of Marketing 10th Edition](https://www.salesforce.com/marketing/resources/state-of-marketing-report/) surveyed 4,850 marketing decision makers across 29 countries (February–March 2024). Gartner CMO data from press releases and analyst surveys published November 2024 and May 2025.

## Summary: AI Marketing Statistics by the Numbers

The table below consolidates the 20 highest-impact data points from all sections above. Use it as a quick-reference for briefings, presentations, and strategy documents.

| Metric | Value | Source |
| --- | --- | --- |
| Marketing teams using AI in at least one area | 86.4% | HubSpot State of Marketing 2026 |
| Organizations using generative AI (up from 33% in 2024) | 72% | McKinsey Global Survey on AI, Nov 2025 |
| Marketers using AI for content creation | 80% | HubSpot State of Marketing 2026 |
| Ad executives with AI deployed in creative process | 83% (up from 60% in 2024) | IAB State of Data 2025 |
| AI-in-marketing market size (2024) | USD 20.44 billion | Grand View Research, Nov 2024 |
| AI-in-marketing projected market size (2030) | USD 82.23 billion | Grand View Research, Nov 2024 |
| CAGR for AI-in-marketing (2025–2030) | 25.0% | Grand View Research, Nov 2024 |
| CMOs citing time efficiency as primary GenAI ROI | 49% | Gartner CMO Spend Survey, May 2025 |
| CMOs cutting agency budgets (AI productivity-driven) | 39% | Gartner CMO Spend Survey, May 2025 |
| Marketing budgets as share of company revenue (2025) | 7.7% (flat) | Gartner CMO Spend Survey, May 2025 |
| Marketers saving 15+ hours/week via AI tools | ~33% | HubSpot State of Marketing 2026 |
| Marketers expected to produce more content in 2026 | 83.5% | HubSpot State of Marketing 2026 |
| High-performing teams more likely to fully integrate AI | 2.5x vs. underperformers | Salesforce State of Marketing, 10th Ed. 2024 |
| Media buyers using AI for video ad creative | 86% | IAB State of Data 2025 |
| Short-form video: #1 highest-ROI format | 48.6% of marketers | HubSpot State of Marketing 2026 |
| BFSI share of AI marketing market spend (2025) | 18.9% | Precedence Research 2025 |
| Healthcare AI marketing CAGR (highest vertical) | 36.5% | Precedence Research 2025 |
| CMOs expecting AI to dramatically change their role | 65% | Gartner, November 2024 |
| Agencies/brands with fully integrated AI (ad lifecycle) | 30% | IAB State of Data 2025 |
| Marketing perceived as experiencing biggest disruption in 20 years | 61% of marketers | HubSpot State of Marketing 2026 |

## Methodology and Sources

Every statistic in this article was traced to a Tier 1 primary source (original survey, analyst press release, or official report) or a Tier 2 aggregator with disclosed methodology. No stat was included if it could only be found in SEO listicles without a primary attribution. Where multiple firms measured the same metric, we note the methodological differences rather than averaging incompatible numbers.

- HubSpot State of Marketing 2026
  
  —
  
  hubspot.com/state-of-marketing
  
  . 1,500+ global B2B and B2C marketers surveyed; updated April 10, 2026.
- McKinsey Global Survey on AI (November 2025)
  
  —
  
  mckinsey.com — The State of AI
  
  . 1,993 respondents across 105 countries.
- Salesforce State of Marketing, 10th Edition (2024)
  
  —
  
  salesforce.com — State of Marketing Report
  
  . 4,850 marketing decision makers across 29 countries; surveyed February–March 2024.
- Gartner 2025 CMO Spend Survey
  
  —
  
  Gartner press release, May 2025
  
  . Annual survey of CMOs across enterprise organizations.
- Gartner CMO AI Role Surveys (November 2024 and February 2026)
  
  —
  
  Gartner press release, November 2024
  
  .
- IAB State of Data 2025
  
  —
  
  iab.com — State of Data 2025
  
  . 500+ subject matter experts across buy- and sell-side; released March 24, 2025.
- Grand View Research — AI in Marketing Market Report (November 2024)
  
  —
  
  grandviewresearch.com
  
  . Market sizing using primary and secondary data; segments by technology, application, end-use, and region.
- Precedence Research — AI in Marketing Market (2025)
  
  —
  
  precedenceresearch.com
  
  . Segment-level breakdown by vertical and geography; covers 2025–2034 period.
- Thryv SMB AI Adoption Survey (July 2025)
  
  —
  
  BusinessWire release, July 2025
  
  . Survey of small businesses with fewer than 100 employees.
- Meta Q4 2025 platform performance data
  
  — Reported via
  
  Meta product disclosures and earnings reporting
  
  .

Last updated: April 2026. We refresh this page quarterly. If a primary source has published updated figures since this date, contact us and we will verify and incorporate them.

For practitioners applying these numbers to active campaigns, the [Content OS workflow case study](https://aicontentdrop.com/blog/content-os-workflow-case-study) shows how teams translate AI efficiency gains into measurable output increases. To understand the creative production context behind the ad-spend data, see our breakdown of the [AI Meta ads creative testing framework](https://aicontentdrop.com/blog/ai-meta-ads-creative-testing-framework) and the full guide to [how to make AI video ads](https://aicontentdrop.com/blog/how-to-make-ai-video-ads).

AD

AI Content Drop Research Team

The AI Content Drop research team tracks primary-source data across marketing, advertising, and AI adoption. We compile stats roundups from original reports and surveys only — no blog-to-blog citations. Our platform processes thousands of AI video and ad generations monthly, giving us direct exposure to the production workflows these statistics describe.