AI marketing statistics show the real state of AI implementation, adoption, and impact on marketing services. Since the explosion of AI in 2023, digital marketing has been one of the most significantly impacted sectors across different industries.
AI for marketers allows them to streamline the content creation process, improve personalization across different marketing channels, and boost efficiency and productivity. Below, we get into the top 50 AI marketing statistics that’ll help you stay ahead of the competition in 2025 and beyond.
AI marketing growth statistics
One of the major trends of AI in marketing is continuous growth and adoption. Below is a list of the growth of AI in marketing statistics that are worth knowing in 2025 and beyond:
| Key Statistics | |
| AI in the marketing industry is worth $47.32 billion in 2025, up from $12.05 billion in 2020. | Source |
| Global AI marketing revenue is estimated to reach more than 107.5 billion dollars by 2028. | Source |
| The global AI marketing industry is expected to grow by an expected compound annual growth rate (CAGR) of 36.6% between 2024 and 2030. | Source |
| The global generative AI market is currently valued at $62.75 billion in 2025 and is expected to grow to $356.05 billion by 2030 at a CAGR of 41.52%. | Source |
“AI is changing the game for marketers at the moment. If you aren’t adopting AI in your day to day processes, the risk of falling behind your competitors becomes greater and greater.”
Dan Shaffer
Director, SEO.com
AI marketing adoption statistics in 2025
Marketers worldwide are increasingly adopting or planning to start adopting AI to create content and automate repetitive marketing tasks. Here are popular artificial intelligence marketing statistics showing the rate of AI adoption in digital marketing:
| Key Statistics | |
| 92% of businesses intend to invest in generative AI tools over the next three years. | Source |
| 91.5% of world-leading businesses like Google, Pfizer, CVS Health, and General Motors have invested in AI technologies. | Source |
| 88% of digital marketers use AI in their day-to-day tasks. | Source |
| 70% of these marketers say their employer doesn’t provide generative AI training. | Source |
| 69% of marketing professionals are excited about adopting AI and its impact on their jobs. | Source |
| 56% of marketers report that their companies are currently using AI. | Source |
| 54% of marketers believe generative AI training is necessary for the successful adoption of AI in their marketing role. | Source |
| 50% of companies are already using AI. | Source |
| 43% of marketing companies are in the experimentation phase with AI. | Source |
| 43% of marketers adopting AI admit they don’t know how to maximize its value. | Source |
| 39% of marketers admit that they don’t know how to use generative AI safely. | Source |
| 29% of surveyed companies plan to adopt AI in the future. | Source |
| 11.5% of companies are yet to start using AI. | Source |
| 9.5% of surveyed companies don’t plan on using AI. | Source |
| Only 1% of businesses that have invested in generative AI have recovered their full investment. | Source |
| Three times more employees than leaders are adopting generative AI for at least a third of their work. | Source |
| Millennials are 1.4 times more likely to report familiarity with generative AI tools than their peers in other age groups. | Source |
“When it comes to using AI for marketing, its benefits range from the day-to-day (like generating formulas for Google Sheets) to bigger initiatives (like building a landing page). Marketers that are embracing AI are giving themselves — and their company — a competitive advantage because they’re able to work smarter faster.”
Sarah Berry
Lead SEO Consultant, SEO.com
Key benefits of AI marketing statistics
Implementing AI in marketing has many benefits for businesses, and here are some of the most notable benefits:
| Key Statistics | |
| 93% of marketers use AI to generate content faster, 81% use it to uncover insights, and 90% use it for quicker decision-making. | Source |
| 83% of marketers admit that AI frees up their time so they can focus on more strategic or creative aspects of their roles. | Source |
| 81% of digital marketers say that AI increases brand awareness and sales for the organization. | Source |
| 75% of marketers in the US say that AI saves organizations’ costs. | Source |
| 74% of marketers in the US admit that AI helps them enjoy their jobs more and exceed campaign targets. | Source |
| 69% of digital marketers are excited about AI’s impact on their jobs, and many businesses agree that it elevates the scope of their marketers’ existing roles. | Source |
| 51% of digital marketers use generative AI tools to optimize content on their websites and social media pages. | Source |
| 41% of companies say that the top benefit of responsible AI practices is improved customer experience. | Source |
| 16% of American Millennials and GenZs find social media images created using generative AI extremely appealing when shared by brands and advertisers. | Source |
| 12% of the younger American generations between 18 and 34 years say that these generative AI images are appealing when shared on social media by influencers. | Source |
“AI is not going to replace humans any time soon. However, people who have adopted AI in their daily processes will begin to replace those who don’t.”
Dan Shaffer
Director, SEO.com
Predictions and future trends in AI marketing (2025 and beyond)
Generative AI is very promising for businesses in 2025 and beyond. Here are AI marketing trends and statistics showing how AI and marketing will drive better results and revenue for your business:
| Key Statistics | |
| Nearly 90% of Fortune 1000 companies are increasing their investments in AI due to its predicted economic value. | Source |
| Companies using AI across their marketing operations will pivot 75% of their staff’s operations from production to more strategic tasks. | Source |
| 49.5% of businesses implementing AI have data privacy or ethics concerns. | Source |
| 43% of businesses are put off by the inaccuracies or biases of AI content. | Source |
| 35% of organizations worry about the costs of using AI tools. | Source |
| In 2025, 30% of outbound marketing messages in large organizations will be generated using AI. | Source |
| A McKinsey report highlights that by 2030, 30% of work hours may be automated using AI. | Source |
| A McKinsey report highlights that by 2030, 30% of work hours may be automated using AI. | Source |
| According to 30% of marketing and ad professionals in Europe, South and North America, generative AI poses risks to brand safety and misinformation. | Source |
| An extra 12 million occupational transitions will happen by 2030, affecting 14 times more lower-wage than highest-wage workers. | Source |
| Even with increasing adoption, the Equal Employment Opportunity Commission fears that overlying on AI may lead to discriminatory hiring practices. This exposes businesses to legal, reputational, and financial risks. | Source |
General AI usage statistics
Here are additional AI statistics describing the many other ways businesses are adopting AI other than marketing:
| Key Statistics | |
| 85% of company executives believe that AI will help them obtain and sustain a competitive edge. | Source |
| 74% of leading performance agencies are more likely to use machine learning for processing data signals with an aim to better understand consumer intent. | Source |
| Customer service remains the most popular use of AI in business, according to 56% of respondents. | Source |
| 50% of leading performance agencies that leverage AI have been able to reallocate 30% of their time to more strategic activities. | Source |
| In a recent survey, 50% of respondents from the US, the UK, Canada, and India mentioned that ad targeting is among the main AI areas of application. | Source |
| 45% of the increasing adoption of AI in enterprises can be attributed to the advances in AI tools. | Source |
| 42% of businesses are leveraging AI tools to automate key processes and minimize costs. | Source |
| By 2027, 42% of business processes will be automated, and by 2028, 44% of workers’ skills will be disrupted. | Source |
| 35% of 2,500 CEOs admit that AI will spur a need for upskilling, retraining, and reskilling for employees. | Source |
| Marketing leaders are twice as likely as their mainstream peers to admit that their organization is adopting automation and machine learning technologies. | Source |
FAQs on AI marketing statistics
Below are some answers to some of the most commonly asked questions about AI in marketing.
How effective is AI in marketing?
AI has significantly improved marketing by expanding predictive analytics, which uncovers trends, customer preferences, and opportunities that enhance marketing campaigns. According to AI marketing statistics, marketers are also using AI for content creation, personalization, and ad targeting.
How big is AI in the marketing market?
AI in marketing market is valued at 47.32 billion US dollars in 2025 and is expected to grow at a CAGR of 36.6% to reach 107.5 billion by 2028. The growing AI in marketing market signals a shift towards personalization and data-driven marketing strategies.
How many companies use AI?
According to our research, 50% of business respondents are already using AI, 29% intend to invest in AI technologies in the near future, and only 9.5% of organizations from the survey have no intentions of adopting AI.
Over the next decade, more companies will adopt AI in their marketing and other process to keep up with competitors and improve productivity and efficiency.
How does AI affect marketing?
AI has positively impacted the marketing industry by automating repetitive tasks, enabling faster content creation, improving customer experience, and enhancing personalization and targeting. Contrastingly, over-reliance on AI may lead to uncreative content, loss of human touch, and data privacy concerns.
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Adopt AI in marketing with our OmniSEO™ solutions
These AI marketing statistics reveal that AI is here to revolutionize the industry, and you can’t afford to be left behind. It’s time to start adopting proactive AI technologies and keeping up with the trends and technologies that are shaping the industry.
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