To stay ahead of the competition, marketers need to find new ways to differentiate their products and services and artificial intelligence (AI) is leading the charge as the next new thing. Marketers are now using AI tools, such as AI image generation, to expand their creative capabilities, increase their return on investment, and engage customers more effectively.
We’ve put together the most important AI statistics that are most relevant for marketers right now.
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Top Line Marketing AI Statistics
1) The Generative AI market today is valued at over $66 billion
Today the total Generative AI market is valued at $66 billion and is forecasted to reach $207 billion by 2030. The predicted rapid growth highlights increasing demand for generative technologies across industries.
2) The AI image-generating segment is projected to be valued at $917 million by 2030
In 2023, the value of the image-generating segment was estimated at $299.2 million. By 2030, the AI image-generating market is projected to reach $917.4 million, achieving a compound annual growth rate (CAGR) of 17.4%.
3) 60% of marketers say AI assists in their daily tasks
AI is proving to be a reliable assistant for marketing professionals, with 60% saying it helps them in their daily tasks. From automating routine processes to generating content ideas and analysing campaign data, AI reduces the workload on marketers, allowing them to focus on more strategic initiatives.
4) 75% of marketers are experimenting with or have fully implemented AI
A Salesforce survey shows that 75% of marketers are either experimenting with or have fully integrated AI into their workflows.
The survey also explores how the performance level of respondents correlate directly with their level of AI adoption in their operations; the greater the marketer’s AI adoption, the higher their performance level.
5) 83% of creative professionals utilise generative AI in their work
Results from Adobe’s global survey of creative professionals indicate that 83% utilise generative AI in their work.
20% also report that their employers or customers require the use of generative AI in some form in their work, emphasising the growing expectation for professionals to incorporate AI into their design process.
6) 53% of businesses plan to use AI for image generation
AI image generation is quickly becoming an integral part of digital marketing strategies. With 53% of businesses planning to adopt the technology, AI is revolutionising visual content creation.
The ability to quickly generate custom images without high production costs is appealing to brands aiming to scale their marketing efforts without compromising on quality.
7) Over 15 billion AI-generated images have been created since 2022
Since 2022, over 15 billion AI-generated images have been produced, highlighting the growing popularity of AI image generation tools and the rapid changes happening in team’s creative processes.
8) Daily 34 million new AI-generated images are created
If the previous statistic wasn’t enough to show the growing use case for generative image AI, marketers should consider that approximately 34 million new AI-generated images are created daily, showing the growing reliance on AI for generating assets at scale.
9) 71% of images shared on social media in the United States are AI-generated
A paper by Capgemini reveals 71% of images shared on social media are AI-generated. In APAC and Canada, this figure is even higher, reaching 77%, whilst in Europe it sits at 68%.
10) 27% of organisations offer AI training to marketing teams
With AI increasingly becoming a skill required in marketing, 27% of businesses are providing training to make sure their teams are equipped to use AI tools effectively.
11) 40% of companies have hired marketing AI experts
AI’s integration into marketing has led 40% of companies to hire AI experts. These professionals help businesses maximise AI tools’ effectiveness by ensuring the technology is properly implemented and aligned with business goals.
From managing data analytics to content automation, AI experts help businesses leverage AI tools in ways that enhance productivity and customer engagement.
12) 58% of small businesses that use AI have a content production budget under $1,000 per month
For 58% of small businesses that use AI, the content production budget is less than $1,000 per month. The amount highlights how AI can democratise content creation, enabling small businesses to produce high-quality, optimised content at a fraction of the cost.
Consumer Perspective on AI in Marketing
13) 62% of consumers are comfortable with generative AI being used in marketing
A survey from Hootsuite shows that 62% of consumers are comfortable with generative AI being used by brands in their advertising, as long as it doesn’t negatively impact their overall experience.
14) 75% of customers want brands to disclose AI usage in content creation
Regardless of whether it’s text, images or videos, 75% of customers express that they want brands to disclose whether AI was used to create content.
15) 21% of generative AI users in the United States are aged 25 to 34
In the United States, the largest user group of generative AI, at 21%, are aged 25-34 years old followed by 35-44 year olds (19%) and 18-24 year olds (14%). Young professionals are leading the way in the adoption of generative AI technology, upskilling faster than any other cohort.
16) 69% of consumers are willing to use AI if it improves their experiences
A 2022 study revealed that 69% of respondents were willing to use AI if it improved their experience with a brand. The figure reflects a positive shift in AI perception, as the same study in 2020 showed only 60% of people were willing to do so.
17) 48% of American millennials believe AI-generated art should be considered “real” art
Nearly half of American millennials (48%) believe that AI-generated art should be classified as “real” art. This openness to AI-created content among younger generations reflects a shift in how art is perceived and valued.
Marketing Ways of Working With Generative AI
18) 85% of marketers think AI will transform content creation
The majority of marketers (85%) believe AI will play a transformative role in content creation in the near future. AI’s ability to generate content has the potential to completely change the way businesses approach creative workflows.
As AI technology continues to evolve, the future of content creation will likely be dominated by automation, helping companies produce high quality content at scale.
19) 39% of marketers already use generative AI to create social media content
AI image generators are proving popular among marketers, with statistics revealing that in the United States, 39% of marketers use generative AI to create social media images. Plus 36% of marketers also leverage AI image generators for website imagery.
The growing adoption highlights the effectiveness of AI to produce visually engaging content that streamlines marketing efforts across platforms.
20) 72% of marketers are using AI to personalise customer experiences
AI’s ability to analyse vast amounts of data enables marketers to deliver highly tailored content to the right audience at the right time. This type of personalised customer experience leads to increased satisfaction and long term brand loyalty.
21) Over a fifth of creators in the United States use AI for editing and content generation
A study from April 2023 shows that over a fifth of American content creators are using AI to edit content and generate videos and images, demonstrating a growing reliance on AI in creative processes.
From a commercial perspective, brands such as Nike and Martini are among those which are experimenting with AI imaging tools to create fully AI-generated ad campaigns. By using targeted prompts and keywords, advertisers are starting to fully explore AI’s creative potential.
22) 45% of marketers use AI to generate campaign ideas
45% of marketers use AI as a form of creative partner, using it to help analyse trends, customer preferences, and competitor strategies, leading to more creative concepts for campaigns.
What ROI Marketers Are Seeing from AI
23) 68% of companies see growth in content marketing ROI after implementing AI
AI tools like Leonardo AI help streamline content production, saving marketer’s budgets and time. With AI marketing teams are able to focus on more strategic initiatives whilst still delivering quality outputs.
24) 7 in 10 marketers report improved customer experience after using AI
Marketers have seen tangible results from implementing AI, with 7 in 10 reporting improvements in customer experience. Chatbots, personalised recommendations, and AI-generated content help streamline communication, so customers receive faster, more relevant responses.
25) AI-generated images are driving trends in fashion and e-commerce
AI-generated images are influencing trends in fashion and e-commerce, driving innovation and creativity within these industries. AI allows businesses to create unique visuals for product displays, advertising, and branding, often producing images that align with emerging trends.
AI’s ability to quickly generate on-trend, visually appealing content helps fashion brands and e-commerce businesses stay competitive in a rapidly changing market.
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26) 67% of small businesses attract more customers if they use AI generated landing pages
AI is transforming the way businesses drive engagement, with 67% of small businesses reporting increased customer traffic to AI-generated landing pages.
By automating the design and layout AI ensures that landing pages are more relevant to potential customers, leading to improved user experiences.
27) 95% of companies who have adopted AI are likely to see marketing success
Of companies who’ve adopted AI, 95% anticipate marketing success, highlighting the impact AI has on marketing performance. AI tools help automate routine tasks, deliver personalised experiences, and optimise campaign strategies.
28) AI deployment can improve leads by 50%
Businesses that deploy AI can see a 50% improvement in leads. AI tools enhance lead generation by identifying high-potential prospects through data analysis, predictive modelling, and customer segmentation.