AI Marketing Data for 2026

You hear the term “artificial intelligence” everywhere - in LinkedIn posts, conference presentations, agency pitches, and marketing discussions. But when you ask a business owner whether they actually use AI in their marketing and how exactly, the answer is often vague.

Not because businesses don’t know what they are using, but because many still aren’t fully convinced they are applying AI in the right way or achieving the best possible results.

In this article, we won’t focus on opinions. We’ll focus on the data.

A recent report by Statista shows that AI in marketing is no longer an optional topic for businesses. The practical applications of artificial intelligence are already clearly emerging across the industry.

What the Data Says About AI in Marketing

Statista published an in-depth report on marketing technologies based on surveys among more than 1,800 marketing professionals and over 200 CMOs worldwide. The data from 2025 paints a very clear picture.

AI Marketing Is the #1 Priority for CMOs

According to the report, 55% of CMOs plan to develop AI marketing skills within the next 12 months — ahead of marketing technologies (53%), social media management (49%), and content creation (46%).

Marketers Expect Real Results from AI, Not Just Process Automation

When asked what they want to achieve with artificial intelligence, the answers were highly specific:

82% want to reduce time spent on repetitive tasks
65% aim for clearer and more actionable data
63% want to accelerate revenue growth
58% seek higher campaign ROI

Half of Marketing Executives Still Don’t Know How to Evaluate AI Tools

Only 31% of respondents reported high confidence when selecting AI-based marketing solutions.

Another 45% answered with moderate confidence, while 12% openly admitted uncertainty when evaluating AI tools and platforms.

This may actually be the most important statistic in the report because it explains why so many businesses talk about AI, yet fail to implement it effectively.

Which AI Applications in Marketing Actually Work?

The data also provides a clear overview of which AI applications currently deliver the best practical results, at least according to the B2B marketers surveyed.

Audience Targeting Leads the Way

43% of respondents identified audience targeting as the most effective application of AI in marketing automation.

It is followed by:

Analytics and reporting (41%)
Personalization (36%)

Content Creation and Email Marketing Are Nearly Equal

Interestingly, email marketing and content creation received almost identical ratings:

35% of marketers identified each as an effective AI application.

This is exactly where AI tools for generating text and images are becoming mainstream and widely accessible.

Further down the list:

Customer support (29%)
Lead generation and qualification (27%)
Campaign optimization (17%)

If there’s one overall trend, it’s this: AI performs best where there are large volumes of data and repetitive decision-making processes.

Audience targeting, analytics, and email marketing fit this description perfectly.

Marketing Automation (Not Necessarily AI-Powered)

Some of the most interesting insights in the Statista report are related to marketing automation - a connected but not identical topic to artificial intelligence.

According to the data:

57% of marketers already automate their email marketing
47% automate social media management
39% automate content management
34% automate paid advertising activities

These numbers point to one thing: If your competitors are not automating these processes yet, they soon will be. And if they already are, every delay on your side becomes a missed competitive advantage.

Businesses Still Lag Behind Despite Strong Interest in AI

There are several key reasons why real-world AI adoption in marketing still does not match the massive interest in AI solutions - at least as of early 2026.

According to the surveyed CMOs:

60% don’t have enough time to evaluate new technologies
54% are slowed down by complex integrations between different tools
49% face internal resistance to change
44% cite budget limitations
39% lack sufficient in-house knowledge and expertise

These challenges are real and understandable. The MarTech market has become enormous - with over 15,500 tools available in 2026, compared to around 7,000 before the pandemic. Evaluating all these solutions requires significant time and resources.

This is exactly why partnering with a marketing agency experienced with these tools can often be more effective than trying to build everything internally.

First Steps with AI in Marketing

If you’re interested in understanding how artificial intelligence can support your business marketing, here are several practical steps we already apply for some of the clients of DGTalents.

Step #1: Audit Your Current Marketing Processes

Before testing any AI tool, you first need to identify which marketing tasks consume the most time and are repeated regularly.

These are usually the best opportunities for automation and AI-driven improvements.

Typical examples:

Sending follow-up emails
Publishing social media content
Preparing weekly reports
Responding to standard inquiries

Step #2: Start with Email Automation

There’s a reason why 57% of marketers start here.

Email marketing remains one of the channels with the highest measurable ROI, while automation is relatively easy to implement.

Automated welcome emails, inquiry follow-ups, and re-engagement campaigns can all operate 24/7 without requiring additional resources or team members.

Step #3: Use an AI Assistant for Content

The most important thing to understand about AI assistants:

They should not replace your copywriter or designer - they should accelerate the process.

AI tools help with:

idea generation
first drafts
adapting content for multiple channels

The result: more content produced in less time.

However, AI should never become the primary creator of your content if you want to preserve your business authenticity, messaging, and brand identity.

At DGTalents, we have developed our own AI marketing assistant - DGone - specifically trained for marketing-related tasks and adapted to the needs of different business types. You can test it for free today.

Step #4: AI-Powered Advertising Targeting

AI systems process massive amounts of data, making them extremely effective for advertising audience targeting.

If you regularly work with Google Ads or advertise on Meta, you already know how much additional precision AI algorithms can provide compared to manual audience assumptions.

…And We’re Still Only at the Beginning

More than half of marketing executives already consider AI their top priority.

Some businesses will test it strategically. Others will discover the right answers through trial and error.

If you want to understand which AI tools are suitable for your business - and how to implement them step by step - we can do it together.

Request a marketing consultation with our team today

The data in this article comes from the “Marketing Technology” report by Statista (2025), based on surveys among more than 1,800 marketing professionals and CMOs across the United States, the United Kingdom, and the EMEA region.