16Best

AI Marketing Statistics 2026 (Adoption, Use Cases & ROI)

87% of marketers now use generative AI in at least one workflow — up from just 51% two years earlier — according to Salesforce's tenth State of Marketing report, fielded across 4,450 marketing decision-makers in late 2025. AI has gone from experiment to default tool in roughly two years. This page collects the latest 2025–2026 data on how many marketers use AI, what they use it for, how much time and money it saves, where the ad dollars are going, and how brands like Coca-Cola, Nike, Sephora and Netflix actually deploy it — plus how consumers feel about all of it.

Key AI marketing stats (2026)

  • 87% of marketers use generative AI in at least one workflow in 2026, up from 51% in 2024. Salesforce
  • The AI-in-marketing market hit ~$27 billion in 2025 and is forecast to reach $82.2 billion by 2030 at a 25% CAGR. Grand View Research
  • High-performing teams using AI agents reclaim about 8 hours per week. Salesforce
  • Content creation is the #1 use case; ~47% of AI-using marketers apply it to emails and 46% to social posts. HubSpot
  • Generative AI will touch ~39% of all video ad creative in 2026, up from 22% in 2024. IAB / eMarketer
  • Personalization done well lifts marketing ROI by 10–30%; fast-growing firms earn 40% more revenue from it. McKinsey
  • Only 13% of marketers use genuinely agentic (autonomous) AI so far. Salesforce
  • Just 26% of US consumers say they trust AI in retail; 52% worry about brands posting undisclosed AI content. YouGov · Sprout Social

How many marketers use AI in 2026?

Adoption is now close to universal among professional marketing teams. The most rigorous 2026 figure comes from Salesforce's State of Marketing survey (4,450 decision-makers, fielded October–November 2025), which found 87% of marketers use generative AI in at least one workflow — a jump from 51% in 2024. Other large surveys land in the same band:

The headline number to remember: in two years, generative AI in marketing went from a minority habit (51%) to the norm (87%). The remaining frontier is not whether teams use AI, but whether they let it run workflows without a human in the loop.

Marketers using generative AI in ≥1 workflow (%)

2024
51%
2025
~75%
2026
87%
Source: Salesforce State of Marketing, 2026 (2025 mid-point approximate)

How big is the AI marketing market?

The money following AI into marketing is growing as fast as adoption. Grand View Research valued the global artificial-intelligence-in-marketing market at about $27.0 billion in 2025 (up from $20.4B in 2024) and projects it to reach $82.2 billion by 2030, a 25% compound annual growth rate.

AI-in-marketing market size, 2024–2030 ($B)

2024
$20.4B
2025
$27.0B
2030 (proj.)
$82.2B
Source: Grand View Research, 2025 — 25% CAGR

What do marketers actually use AI for?

Content creation is the workhorse. Across surveys, writing and media production dominate the use-case list — AI is used to draft, not just analyze. HubSpot's 2026 data on AI-using marketers shows where the tools land:

The broader categories beyond content: personalization and recommendations, programmatic ad buying and bid optimization, customer-service chatbots, SEO and audience segmentation, and predictive analytics. In other words, AI now sits across the full funnel — but the highest-volume, lowest-risk entry point for most teams remains generating words and images.

Top AI use cases among AI-using marketers (%)

Emails/news.
47%
Research
47%
Social posts
46%
Quality check
44%
Brand msg.
41%
Blogs/long-form
38%
Source: HubSpot State of Generative AI in Marketing, 2026

How much time and money does AI save marketers?

The productivity case is the easiest one to make. Salesforce found that high-performing teams using AI agents reclaim about 8 hours per week — a full working day — by handing routine drafting, segmentation and reporting to AI. Independent surveys cluster around a similar range, with most teams reporting roughly 5+ hours saved weekly and a meaningful share saving far more.

The caveat: time saved is not automatically value created. Salesforce's data shows that even with AI everywhere, 84% of marketers admit to still running generic campaigns — meaning the freed-up hours often don't translate into sharper, more personalized output unless the underlying data is in order.

How does AI affect ad spend and advertising?

Advertising is where AI moves the most money. Global ad spend is set to surpass $1 trillion for the first time in 2026, per dentsu and eMarketer forecasts, and the bulk of it now flows through AI-driven programmatic systems. AI touches advertising on two fronts — buying (bid optimization, audience targeting) and creative (generating the ads themselves).

Share of video ad creative touched by generative AI (%)

2024
22%
2025
~31%
2026 (proj.)
39%
Source: IAB / eMarketer, 2025 (2025 interpolated)

What is the ROI of AI in marketing?

The clearest, best-documented ROI lever is personalization. McKinsey's long-running work on personalization at scale finds that getting the right message to the right customer at the right time delivers 10–30% improvements in marketing ROI, and that companies excelling at personalization generate about 40% more revenue from those activities than slower-growing peers.

That said, attribution remains messy. Salesforce found that 98% of AI-using marketing teams hit at least one data-related barrier to personalization — data silos, poor quality, too many sources — and the average team juggles seven data sources. ROI is real, but it is gated by data hygiene more than by the AI itself.

How do brands actually use AI in marketing? (Real examples)

Statistics describe the trend; named campaigns show the mechanics. Here is how major brands deploy AI across creative, personalization and service in 2024–2026:

The pattern across these: AI is strongest at personalization (Nike, Netflix), creative volume (Coca-Cola, Heinz), interactive experiences (Sephora), and frontline service (Klarna) — and weakest where nuance, trust or complex judgment matter most.

How do consumers feel about AI in marketing?

Consumer sentiment is the friction point. While marketers race to adopt, shoppers remain wary — especially about undisclosed AI and AI making decisions on their behalf.

The takeaway for brands: AI can power the experience, but consumers reward transparency and punish hidden automation. The gap between marketer enthusiasm (87% adoption) and consumer trust (26%) is the defining tension of AI marketing in 2026. Trust-sensitive verticals — finance, health, and online gaming or crypto-gambling platforms where money and identity are on the line — face the steepest disclosure expectations of all.

Frequently Asked Questions

What percentage of marketers use AI in 2026?

About 87% of marketers use generative AI in at least one workflow in 2026, up from 51% in 2024, according to Salesforce's State of Marketing report (4,450 respondents, late 2025). HubSpot's 2026 research puts broad AI-tool usage near 86%.

What is the most common use of AI in marketing?

Content creation. Among AI-using marketers, roughly 47% use AI for emails and newsletters, 46% for social posts and scripts, and 38% for blogs and long-form content, per HubSpot. Research, personalization, ad optimization and chatbots follow.

How much time does AI save marketers?

High-performing teams using AI agents reclaim about 8 hours a week, per Salesforce, and marketers commonly report saving roughly 3 hours per piece of content with generative AI (HubSpot).

What is the ROI of AI in marketing?

The best-documented gain is personalization: McKinsey finds it can improve marketing ROI by 10–30%, and fast-growing companies derive about 40% more revenue from personalization than slower peers (McKinsey). BCG measured ~20% average sales lift from AI-driven personalization.

How big is the AI marketing market?

The global AI-in-marketing market was about $27 billion in 2025 and is projected to reach $82.2 billion by 2030 at a 25% CAGR, per Grand View Research. North America holds the largest share at roughly 32%.

How do brands use AI in advertising?

For both buying and creative. Nearly 90% of advertisers say they will use generative AI to build video ads, and AI will touch about 39% of all video ad creative in 2026, up from 22% in 2024 (IAB / eMarketer). On the buying side, AI-driven programmatic accounts for 85%+ of US digital ad spend.

Do consumers trust AI in marketing?

Largely not yet. Only about 26% of US consumers trust AI in retail (YouGov), and 52% are concerned about brands posting AI-generated content without disclosure (Sprout Social). Transparency and labeling materially affect trust.

Sources