In 2021, the market for artificial intelligence (AI) in marketing was estimated at ***** billion U.S. dollars. The source projected that the value would increase to more than ***** billion by 2028. What is AI and who uses it? Artificial intelligence (AI) has become one of the most impactful digital innovations of the past few decades. The term refers to the ability of a computer or machine to mimic the competencies of the human mind, with the current ecosystem consisting of machine learning, robotics, artificial neural networks, and natural language processing. All of these features and algorithms are highly versatile and adaptable to the specific requirements of the user, explaining why they have become embedded into many different industries, ranging from telecommunications and financial services to healthcare and pharma. Overall, the global artificial intelligence market was valued at around *** billion U.S. dollars in 2021. AI at the marketing wheel AI is deeply embedded into the digital marketing landscape, and based on the latest reports, more than ** percent of industry experts integrate some form of AI technology into their online marketing activities. This vast adaptation of artificial intelligence for marketing purposes is no surprise considering that its benefits include task automation, campaign personalization, and data analysis, to name but a few. When asked about marketers' main application areas of AI in a recent survey, roughly ** percent of respondents from the U.S., Canada, the UK, and India mentioned ad targeting. Other popular activities they trusted AI with included personalizing content, optimizing e-mail send times, and calculating conversion probability.

During an early 2023 survey conducted among senior brand marketers from the United Kingdom, ** percent stated they were already using artificial intelligence (AI) within their digital advertising. Additionally, ** percent believed that AI was an important part of their marketing strategy.

The market for artificial intelligence grew beyond *** billion U.S. dollars in 2025, a considerable jump of nearly ** billion compared to 2023. This staggering growth is expected to continue, with the market racing past the trillion U.S. dollar mark in 2031. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together, these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on various factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.

According to a study conducted in late 2024, consumer goods and retail executives said they were planning to increase their AI budget in 2025. Spending outside of the IT department would add up to 2.28 percent of the annual revenue and was expected to increase by 52 percent compared to the previous year.

The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around *** billion U.S. dollars by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning. What is artificial intelligence? Artificial intelligence refers to the capability of a machine that is able to replicate or simulate intelligent human behaviours such as analysing and making judgments and decisions. Originated in the computer sciences and a contested area in philosophy, artificial intelligence has evolved and developed rapidly in the past decades and AI use cases can now be found in all corners of our society: the digital voice assistants that reside in our smartphones or smart speakers, customer support chatbots, as well as industrial robots. Investments in AI Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. When it comes to AI patent applications by company, Microsoft, IBM, Google, and Samsung have each submitted thousands of such applications, and funding for AI related start-ups are raking in dozens of billions of dollars each year.

According to a 2022 study conducted with marketers worldwide, ** percent of respondents reported using artificial intelligence as a part of their digital marketing strategy. Two years earlier, in 2020, the reported usage rate stood at ** percent which was a big growth from the ** percent rate in 2018.

During a survey carried out in the United Kingdom, more than ************ responding small business owners, founders, or operators stated they were planning to use artificial intelligence (AI) to generate marketing content, campaigns, and ideas in 2025. Nearly *********** was planning to use AI to automatize customer service.

According to the market research firm Tractica, the global AI-driven hardware market is expected to experience massive growth in the coming years, with revenues increasing from around ***** billion U.S. dollars in 2018 to an expected ***** billion by 2025. The AI-driven hardware market includes categories such as CPU, GPU network products and storage devices.

A worldwide survey carried out in 2024 showed that Boomers are the most concerned about the use of personal data when shopping online. 60 percent of them avoided sharing personal details because they did not trust data privacy with AI technologies.

According to a global survey of marketing professionals in January 2025, ** percent of respondents said content creation and enhancement was the leading use of artificial intelligence and tactic among respondents. The main areas in which marketers used AI included email marketing optimization, social media management, and ad targeting, with ** and ** percent, respectively. Meanwhile, voice and visual search optimization was one of less cited uses, with ** percent.

A global survey in 2022 found out that ** percent of marketing professionals across 35 countries were using artificial intelligence (AI) tools in order to automate customer interactions, compared to ** percent in 2021. Another ** percent of marketers working with AI shared that it helped them personalize the customer journey across channels - a share that remained the same as the year before.

During a late 2024 survey, ** percent of responding marketers from across the globe stated they used generative artificial intelligence (AI) for data analysis. Market research ranked second, cited by ** percent of respondents.

According to a survey conducted in 2022 worldwide among marketing leaders, ** percent of respondents stated that the most popular reason for using artificial intelligence (AI) to improve customer experience is to predict customer behavior and needs. Another ** percent of them said that they use AI in their marketing company in order to uncover frequent customer journeys. In comparison, only ** percent of marketing leaders shared that they use AI to improve MQLs (e.g. chatbots).

According to a 2023 study conducted with marketers in the United States, ** percent of respondents reported using generative artificial intelligence tools, such as chatbots, as a part of their company's work. Only*** percent of American marketing professionals were not using the generative AI tools.

During a 2024 global survey among marketing and media leaders, approximately ** percent reported using artificial intelligence (AI) tools a few times per week or daily when writing or generating content. Around ** percent said they used those solutions for social media content generation. According to the same study, Facebook and Instagram were the social media platforms most used by global marketers for organic content and paid ads.

During a March 2023 survey among marketers worldwide, ** percent of respondents said that aligning web content with search intent is the most effective use of artificial intelligence (AI) and marketing automation. Improving user experience came next, with ** percent, while raising the Search Engine Results Pages (SERP) ranking rounded up the top three with ** percent.

During a global survey of marketers in January 2025, 54 percent of respondents said they were concerned about the loss of creativity and the human touch due to artificial intelligence (AI). Another 27 percent expressed concern about job displacement. Other studies among marketers suggest that the fear of AI jeopardizing their roles is much higher.

In 2023, research and insights departments in North America and Europe were feeling *************** about the potential impact of artificial intelligence (AI) within their enterprise companies. Both insights teams and stakeholders were equally ************* when posed with the AI question, whereas ********** percent of the two respondent groups were very cautious about the potential impact of AI.

According to the market research firm Tractica, the European artificial intelligence software market is expected to experience significant growth in the coming years, with revenues increasing from around **** billion U.S. dollars in 2018 to an expected ***** billion by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning.

According to Next Move Strategy Consulting, the global automotive intelligence market is projected to grow between 2019 and 2030. While the market was sized at some 2.5 billion U.S. dollars in 2019, it is expected to reach the size of around 74.5 billion U.S. dollars in 2030.