25+ AI Marketing Statistics You Need to Know in 2026

Key Statistics for AI in Marketing in 2026

• 67% expect AI to enable more personalised experiences such as curated retail recommendations (adobe.com)
• 53% of senior executives using generative AI report significant improvements in team efficiency (adobe.com)
• Global AI marketing revenue is predicted to reach 107 billion dollars by 2028 (Statista)
• Global revenue for AI marketing was around 47 billion dollars in 2025 (Statista)

AI Marketing Market Growth Statistics

AI marketing has grown quickly, driven by rising investment and companies realising strong gains in productivity.

Its expanding role in social media, automation and generative tools shows how central it is becoming to modern marketing strategy.

• AI in social media is projected to grow to 15.8 billion dollars by 2032 (Skyquest)
• Global AI marketing revenue is predicted to reach 107 billion dollars by 2028 (Statista)

What This Means

The early-adopter phase is over. With projected trillion-dollar productivity gains, the debate has been settled and the boardrooms are listening.

Nine in ten businesses plan to invest within three years. Social media will see the biggest transformation, with AI reshaping content, targeting and analytics at scale.. The investment wave is coming and marketers who build capabilities now will own the advantage.

AI Adoption Statistics

These adoption statistics highlight that AI has become a standard part of modern marketing, with most teams and businesses using it across daily tasks and wider operations.

The few who have not adopted it often cite a limited understanding, highlighting how quickly AI led workflows are becoming the norm.

• 67 % of small and medium sized businesses now use AI in marketing (Semrush)
• 60 % of marketers use AI tools daily (Social Media Examiner)
• 83 % of companies now consider AI a top priority (Exploding Topics)
• 78 % of businesses use AI in at least one business function (McKinsey)
• 88 % of digital marketers use AI in their day-to-day roles (SEO.com)
• 50 % of marketers have adopted AI into their workflows (WebFX)
• 20 % of the United States workforce now use AI in their job (Pew Research)
• 37 % of companies that do not use AI report that they do not understand how it works (Semrush)
• 92 % of businesses intend to invest in generative AI tools over the next three years (McKinsey)

What This Means

AI in marketing is no longer a competitive advantage; it is the baseline. Most teams now use it daily, and most organisations rank it as a top priority.

Those still on the sidelines often cite a lack of understanding, not a lack of interest. The knowledge gap is now the barrier, and it is closing fast.

AI Use in Content, SEO and Search

AI now drives large scale gains in content output, SEO performance and visibility across search engines and LLMs.

As teams increase their content production, many also use AI powered PDF tools that help extract insights and review documents more quickly.

• 93 % of marketers use AI to generate content faster (Statista)
• AI use enables companies to publish 42 % more content each month (Ahrefs)
• 74 % of new webpages now include some form of AI content (Ahrefs)
• 55 % of marketers cite content creation as the most common use case for AI in content marketing (HubSpot)
• 68 % of businesses have seen increased content marketing ROI from AI (Semrush)
• 65 % of businesses saw an uplift in SEO performance due to AI marketing tools (Semrush)
• A site ranking first in traditional search results is 25 % more likely to be featured in AI Overviews (Ziptie)
• 91 % of pages cited in AI Overviews contain some level of AI generated content (Ahrefs)
• ChatGPT remains the most used AI model for content creation, adopted by 44 % of respondents (Ahrefs)

What This Means

AI has fundamentally changed how content is created, scaled and discovered.

Most marketers now use it to produce more, faster, and the ROI gains are measurable. Search is shifting too.

Traditional rankings now influence visibility in AI Overviews, and most cited pages already contain AI generated content. The rules of SEO are being rewritten in real time.

AI For Marketing in Visual Media

AI is underpinning visual media at scale, helping shape both image and short form video creation across the major platforms.

• 71 % of images shared on social media were AI generated or AI edited (Forbes)
• There are now 1.3 billion videos on TikTok labelled as AI generated (The Guardian)

What This Means

Visual content has already shifted to AI‑led creation, with most social imagery now involving AI and over one billion TikTok videos carrying AI‑generated labels.

This is not a future trend. It is the current state of the platforms where audiences spend their time. Marketers who treat AI visuals as experimental are already behind the curve.

AI Use in Marketing Campaigns, Advertising and Email

According to the data, AI is being used to transform marketing campaigns, advertising and email marketing. Marketers cite improved targeting, reduced unnecessary spend and stronger customer engagement.

• 30 % of media agencies and brands have integrated AI into campaign lifecycles (IAB)
• AI driven PPC bid management can reduce wasted ad spend by around 37 % and increase ad ROI by roughly 50 % (Zebracat)
• AI driven campaigns can increase email open rates by up to 41 % in certain industries (Business Dasher)
• 75 % of US marketers say that AI saves organisational costs (Statista)

What This Means

AI driven campaigns are cutting wasted spend, lifting ROI and driving stronger engagement across channels.

Three quarters of US marketers already report cost savings. Yet with only 30 % of agencies fully integrating AI into campaign lifecycles, the opportunity to pull ahead remains wide open.

AI Productivity and Efficiency

These figures show how artificial intelligence and machine learning now play a major role in giving marketers back more than a working day each week.

A growing number of teams use digital solutions like Acrobat online tools to make document workflows more efficient, taking advantage of online PDF editors and PDF AI assistants

• AI saves marketers 13 hours per week in daily tasks (ActiveCampaign)
• Marketers are 44 % more productive, saving an average of 11 hours per week thanks to AI (ZoomInfo)
• Increased productivity from AI use is estimated to be worth 4.4 trillion dollars to the global economy (McKinsey)

What This Means

The productivity gains from using AI are not marginal - they are being measured in days, not minutes. Marketers using AI are reclaiming more than a full working day each week.

Teams that reinvest those hours into strategy, creativity and execution will outpace those still buried in manual tasks.

AI Risks and Barriers

These statistics highlight the core risks that hold some organisations back, especially in terms of data privacy, brand safety and the accuracy of large language models.

Issues such as bias or incorrect information can undermine customer experience, which makes trust and quality control essential when adopting AI tools.

• 30 % of marketers believe that generative AI poses significant risks to brand safety (Statista)
• 43 % of businesses are put off by the inaccuracies or biases of AI content (WebFX)

What This Means

The risks are real and marketers know it. Nearly a third see generative AI as a threat to brand safety, and close to half remain cautious about accuracy and bias. These concerns are not unfounded.

These concerns are not unfounded. But they are manageable. The organisations that build strong review processes and quality controls will adopt with confidence while others stay stuck on the sidelines.

AI in Marketing: FAQs and Predictions for 2026

How effective is AI in marketing?

AI is highly effective for specific, data-heavy tasks —think analysing customer behaviour, speeding up A/B testing, and predicting churn.

It’s not a magic bullet, though. AI works best when paired with human strategy and creativity. The real benefit? Productivity gains. By accelerating data access and automating repetitive tasks, marketers free up time for higher-value work.

What are the predictions for marketers using AI in 2026?

2026 marks the shift from experimentation to execution.

Here’s what’s coming:

• Agentic AI will move beyond content generation to autonomously handle campaigns, scheduling, and reporting.
• Voice interfaces will become central to customer interaction and service delivery.
• Automation will deepen across every stage of the marketing workflow.

The takeaway? Early adopters will scale fast. Late movers will struggle to close the gap.

Let’s watch this space!