The market for artificial intelligence grew beyond 184 billion U.S. dollars in 2024, a considerable jump of nearly 50 billion compared to 2023. This staggering growth is expected to continue with the market racing past 826 billion U.S. dollars in 2030. 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 a variety of 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.

The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around 126 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 (AI) is expected to show significant growth in the coming decade, according to a variety of sources. According to Statista data, the AI market size is projected to rise from 241.8 billion U.S. dollars in 2023 to almost 740 billion U.S. dollars in 2030, accounting for a compound annual growth rate of 17.3%. Meanwhile, according to  Next Move Strategy Consulting, its value of approximately 208 billion U.S. dollars in 2023 is expected to grow ninefold by 2030, reaching around 1.85 trillion U.S. dollars. Indeed, the AI market covers a vast number of industries, including healthcare, education, finance, media and marketing. The rate of adoption and deployment of the technology is becoming more prolific worldwide. Chatbots, image-generating AI, and mobile applications are all among the major trends that will enhance AI in the coming years.

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 a variety of 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.

In 2022, revenues from the global artificial intelligence market were expected to reach 433 billion U.S. dollars. The global AI market is forecast to see rapid growth in the coming years, reaching more than half a trillion U.S. dollars by 2023.

Artificial Intelligence Simply put, artificial intelligence (AI) is the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. In the case of AI, a great amount of data is often used to train AI into developing algorithms that enable these abilities. Different AI capabilities such as computer vision and conversational interfaces are embedded in many standard business processes in industries such as retail, finance, healthcare, and high tech.

AI Segments The AI market can be broken down into three segments: software, hardware, and services. The AI software segment is the largest of the three segments, bringing in the most revenue recently. The segment is comprised of AI applications, AI software platforms, and AI system infrastructure software sub-segments. Popular AI software vendors include companies such as IBM, Microsoft, SAS, and Google to name a few. The AI hardware market and the AI services market are smaller in size but have significant potential for growth in the coming years.

The global market size in the 'Generative AI' segment of the artificial intelligence market was forecast to continuously increase between 2024 and 2030 by in total 320 billion U.S. dollars (+887.41 percent). After the tenth consecutive increasing year, the market size is estimated to reach 356.05 billion U.S. dollars and therefore a new peak in 2030. Notably, the market size of the 'Generative AI' segment of the artificial intelligence market was continuously increasing over the past years.Find further information concerning the market size change in the 'AI Robotics' segment of the artificial intelligence market in the world and the market size in the 'Natural Language Processing' segment of the artificial intelligence market in the world. The Statista Market Insights cover a broad range of additional markets.

In 2021, the market for artificial intelligence (AI) in marketing was estimated at 15.84 billion U.S. dollars. The source projected that the value would increase to more than 107.5 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 327 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 80 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 50 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 market size in the artificial intelligence market in the United States was forecast to continuously increase between 2024 and 2030 by in total 173.5 billion U.S. dollars (+345.89 percent). After the eighth consecutive increasing year, the market size is estimated to reach 223.68 billion U.S. dollars and therefore a new peak in 2030. Find more key insights for the market size in countries and regions like the market size in the 'Machine Learning' segment of the artificial intelligence market in Nordics and the market size in the 'Machine Learning' segment of the artificial intelligence market in the world. The Statista Market Insights cover a broad range of additional markets.

Generative artificial intelligence (AI) could generate significant value when deployed across industries, according to 63 use cases analyzed in 2023. Based on these use cases, the high tech sector could have the highest profits through the use of generative AI. On an annual basis, generative AI could add between 4.8 percent and 9.3 percent of the total industry revenue in the high tech sector. The banking sector could also see significant contributions through generative AI, with 2.8 percent to 4.7 percent of the total industry revenue generated through various use cases.

In the year 2024, the market value of agentic artificial intelligence (AI) stood at 5.1 billion U.S.dollars. It is anticipated that this market value will surpass 47 billion U.S.dollars, with a compound annual growth rate of over 44 percent, as reported by Capgemini. This tremendous growth demonstrates the potential of agentic AI to transform industries through autonomous action and decision-making.

The statistic shows the size of the artificial intelligence (AI) market worldwide from 2015 to 2024. In 2015, the global AI market generated revenues of 126 billion U.S. dollars.

The statistic shows a forecast for the artificial intelligence (AI) market worldwide, by service area, from 2014 to 2024. In 2014, the global AI market is valued at 6.3 billion U.S. dollars.

IBM was the leader in the global artificial intelligence (AI) market in 2018, with a market share amounting to 9.2 percent. The AI market has grown steadily in the past years, with overall revenue reaching 28.1 billion U.S. dollars in 2018.

What is artificial intelligence?   

A popular field of computer science, artificial intelligence refers to the creation of intelligent hardware or software able to replicate human behaviors such as learning and problem solving. The technology is increasingly becoming a part of people’s everyday lives: voice assistants such as the Apple Siri are widely used by today's smartphone owners. AI enables machines to complete different “human” tasks from driving automobiles to playing chess to detect tumors.

AI spending growth drivers    

The global artificial intelligence industry is forecast to grow rapidly in the next few years. This comes as a result of heavy investments from software and information technology companies: AI-focused startups have been gaining funding momentum, with the total funding for such startups increasing by nearly fivefold in the last four years. A chunk of these startup companies is focusing on machine learning - a type of artificial intelligence technology that allows computers to learn without human assistance. AI applications and cloud services are also some of the main factors driving growth within the market.

The financial sector's spending on artificial intelligence (AI) is projected to experience substantial growth, with an estimated increase from 35 billion U.S. dollars in 2023 to 126.4 billion U.S. dollars in 2028. This represents a compound annual growth rate (CAGR) of 29 percent, indicating a significant upward trajectory in AI investment within the financial industry. AI investment across industries In 2023, the banking and retail sectors led in AI investments, with the banking sector accounting for 20.6 billion U.S. dollars and the retail sector investing 19.7 billion U.S. dollars. This demonstrates the varying degrees of AI adoption across different industries, with the financial sector poised for substantial growth over the coming years. These findings highlight the competitive landscape of AI investment and the potential for the financial sector to capitalize on AI technologies. Global corporate AI investment trends The global corporate investment in AI reached nearly 92 billion U.S. dollars in 2022, marking a significant increase from previous years. Private investments played a substantial role in driving this growth, underscoring the increasing importance of AI development worldwide. This trend signifies a strong foundation for the expansion of AI technologies, with implications for the financial sector's investment landscape as it navigates the evolving AI market.

This statistic shows a forecast of the business value that could be gained through the use of artificial intelligence in the banking industry from 2018 to 2030. Forecasts suggest that by the year 2030 the use of AI in the banking industry will generate around 99 billion U.S. dollars in value in the Asia Pacific region alone.

The statistic shows the impact artificial intelligence (AI) will potentially have on the real gross value added (GVA) of various industries worldwide in 2035. By 2035, with artificial intelligence absorbed into the economy, the manufacturing industry could potentially increase their gross value added by 12.2 trillion U.S. dollars, 3.8 trillion U.S. dollars more than the baseline, non-AI scenario.

The value of the Artificial Intelligence (AI) market in Romania amounted to nearly 558 million U.S. dollars in 2024, of which machine learning constituted the largest share. The AI market is forecasted to rise to over 2.5 billion U.S. dollars in 2030.

Banks across the Americas poured 19 billion U.S. dollars into artificial intelligence investments in 2024, marking a significant commitment to AI technology. This investment is projected to grow rapidly at a 30 percent compound annual rate over the next several years. By 2025, AI spending in the banking sector is expected to reach 25 billion U.S. dollars, before more than doubling to 54 billion U.S. dollars by 2028. Globally, the banking sector represents the majority of financial sector AI spending, which totaled 45 billion U.S. dollars in 2024.

This statistic shows the global market size for artificial intelligence in healthcare in 2016, 2017 and a forecast for 2025. It is estimated that over this period the market will increase from roughly one billion to more than 28 billion U.S. dollars.

The AI market size in India was around 6.3 billion U.S. dollars in 2024. Among all the segments, machine learning had the largest share at 2.8 billion dollars. 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. IT industry in India The IT industry in India is a huge industry which consists of information technology services, consulting, and outsourcing. India’s IT services industry was born in Mumbai in 1967 when Tata Consultancy Services was established. India made up to more than 19 percent of the global IT spending in financial year 2021. Within the global IT industry, India is renowned for its IT outsourcing services, and with governmental support and foreign investments, the industry is also developing technologies relative to AI and IoT. AI technologies The main branches of an AI ecosystem are machine learning, robotics, artificial neural networks, and Natural Language Processing (NLP). In machine learning, software programs run through existing data, and apply the learned knowledge to new data or to predict data. In the field of robotics, it develops and trains robots for various applications. A prominent example is autonomous vehicles, though the level of autonomy varies, it was estimated that between 2024 and 2025, fully autonomous cars could be seen in the market.

The value of the Artificial Intelligence (AI) market in Poland amounted to nearly one billion U.S. dollars in 2023, of which machine learning constituted the largest share. The AI market is forecast to rise to over 5.8 billion dollars in total in 2030.