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.

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.

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 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.

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.

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.

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.

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 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.

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.

The statistic shows the size of the global market for artificial intelligence for enterprise applications, from 2016 to 2025. In 2016, the enterprise AI market is estimated to be worth around *** million U.S. dollars worldwide.

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.

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.

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.

According to the survey conducted in the United States in June 2023, ** percent of small business (SMB) owners and marketing decision-makers stated that their biggest concern regarding using artificial intelligence (AI) and/or automation technology for marketing purposes was their data security. Concerns about the price of implementation of the technology followed with ** percent.

In the United States, most retail companies are likely to use artificial intelligence (AI) for marketing purposes. Nearly ** percent of professionals from retail companies answering a survey in 2024 stated that their enterprises will be using AI to handle marketing automation. Chatbots and virtual shopping assistants follow in the ranking, with **** percent of answers.

During a 2023 survey carried out among email marketers from the United States, the United Kingdom, and other European countries, it was found that approximately ** percent of respondents believed that AI-supported email marketing was more effective than traditional email marketing approaches. Roughly ***percent noticed no significant difference or said they believed it was as effective as traditional approaches.

According to the survey conducted in the United States in June 2023, ** percent of responding small business (SMB) owners and marketing decision-makers stated they saved between ** and ** minutes in a week by using artificial intelligence (AI) and/or automation technology for their marketing. Around ** percent of SMBs saved more than ** minutes per week by using AI.

During a 2024 global survey among marketing and media leaders, approximately 42 percent reported using artificial intelligence (AI) tools a few times per week or daily when writing or generating content. Around 40 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.

According to a survey in 2024 in the United States, ** percent of marketing and advertising professionals who were using artificial intelligence (AI) tools said that the leading organizational benefit was effective collaboration. Another ** percent of respondents said effective data sharing and better customer experiences, respectively.