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.

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.

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.

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 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 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.

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.

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.

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.

According to Next Move Strategy Consulting the market for artificial intelligence (AI) is expected to show strong growth in the coming decade. Its value of nearly 100 billion U.S. dollars is expected to grow twentyfold by 2030, up to nearly two trillion U.S. dollars. The AI market covers a vast number of industries. Everything from supply chains, marketing, product making, research, analysis, and more are fields that will in some aspect adopt artificial intelligence within their business structures. Chatbots, image generating AI, and mobile applications are all among the major trends improving AI in the coming years.

Generative AI a growing market

In 2022, the release of ChatGPT 3.0 brought about a new awakening to the possibilities of generative artificial intelligence. A good understanding of this trend comes from observing the difference in interest in generative AI on Google, with interest growing rapidly from 2022 to 2023. It is to be expected that this interest will continue as both ChatGPT and others aim for updated chatbot versions in the future and further generative AI programs are in development.

Growing awareness in academia

AI has long been a fast-moving field, with specialists in academia having to keep up with rapid technological developments. Most specialist PhDs in North America, for example, go to work in the industrial sector, with barely half that number going to work in academia. Therefore, traditional academic writing on the topic of AI has consistently been behind the times, as the academic process takes time. A change in this trend can be observed as more and more publications on the topic come out.

During a 2024 survey among marketers, roughly ** percent of respondents stated that budget constraints were a challenge of adopting artificial intelligence (AI) within marketing departments. Organizational resistance to change ranked third, mentioned by nearly ** percent of respondents.

The AI market share of the IT services industry in India reached **** percent in 2021. Artificial intelligence has been responsible for drastic changes in the technology sector where it can greatly improve productivity through process simplification and automation. It is also an integral part and one of the fundamental bases of Industry 4.0. In several developed countries, AI could potentially maximize labor productivity by more than ** percent in the next 15 years. AI application in India As India is a country with huge linguistic diversity, it imposes a great challenge to governments and companies when conducting business with people of different linguistic backgrounds. As a result, one of the first applications for AI in India is in the field of customer service. The Indian government has increased public investment to promote the Digital India initiative in the fields of AI, IoT, big data, machine learning, and robotics. Challenges of AI adoption in India However, there are several obstacles India faces in the process of AI adoption. India has a comparatively small number of scientists and researchers in the field of machine learning and artificial intelligence. It also lacks sufficient qualified specialists to localize and implement the latest technologies in the field. However, the Ministry of Electronics and Information Technology, along with various industrial bodies have introduced several programs of personnel training and technical infrastructure building to lay the foundation for future AI development in India.

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.