As of 2023, most surveyed companies in the United States and Europe claim to be either industry leaders in terms of data, analytics, and artificial intelligence (AI) function advancements or about the same as their industry peers.

The global number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market was forecast to continuously increase between 2024 and 2030 by in total 414.7 million (+131.91 percent). After the tenth consecutive increasing year, the number of AI tools users is estimated to reach 729.11 million and therefore a new peak in 2030. Notably, the number of AI tools users of the 'AI Tool Users' segment of the artificial intelligence market was continuously increasing over the past years. The Statista Market Insights cover a broad range of additional markets.

The results of a survey conducted among global students in July 2024 show that helping with resume and cover letter writing is the most common use case for artificial intelligence tools among higher education students. Two thirds of respondents also said they used AI to assist them in writing, for personalized content recommendations, and research. All in all, 86 percent of students worldwide admit to using AI in their schoolwork.

Most organizations have not adapted AI to a great degree, with only a select number of employees within an organization using it in 2023. This is in all likelihood because the technology is still maturing and a select amount of employees might be running pilot programs or test programs for AI usage within companies. What is notable is more than a quarter of companies did not use any AI within their enterprise in 2023.

As of 2023, about half of the surveyed companies claim to take the steps of explaining how the artificial intelligence (AI) works, ensuring a human is involved in the process, and instituting an AI ethics management program to guarantee transparency and data security.

The statistic shows the cumulative revenues from the ten leading artificial intelligence (AI) use cases worldwide, between 2016 and 2025. Over the ten years between 2016 and 2025, AI software for vehicular object detection, identification, and avoidance is expected to generate 9 billion U.S. dollars.

As of 2023, the strategy domain is the one with the largest number of companies claiming to be either a pacesetter or a chaser in terms of artificial intelligence (AI) readiness. The data domain held the largest number of laggards in the technology.

In 2023, AI tools were used daily by IT professionals across various fields. In that year, over 56 percent of machine learning engineers globally reported using these tools every day, while data scientists followed closely, with around 45 percent stating daily usage. Back-end developers and full-stack developers reported slightly lower usage, with 35.4 percent and 34.7 percent respectively stating that they use AI tools daily.

About 14 percent of real estate firms used artificial intelligence, according to a 2023 survey among 750 CFOs at major companies worldwide. Approximately 28 percent of respondents shared that their firm was in early-stage adoption, while 30 percent were piloting the technology. Meanwhile, about three percent of industry experts were not interested.

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.

Most machine learning, data science, and artificial intelligence (AI) developers work with unstructured text data of the size between 50 MB and 1 GB, with a combined 51 percent of respondents indicating as such. Twelve percent of respondents work with unstructured video data with a size larger than 1 TB.

A 2023 study focused on the main opportunities considered by global hotel chains to implement artificial intelligence (AI) and machine learning in property operations. Based on the survey, 77 percent of respondents saw the biggest AI and machine learning opportunity in predictive modeling for environmental protection using energy, water, and waste-monitoring tools. This figure denotes an increase of 30 percentage points compared to the 2021 study.

Around half of respondents from the consumer goods and retail industry state that deployment of artificial intelligence can help improve customer care. This means that an AI solution can take over augmented conversations to answer customer questions and lead the customer on to the right agent in situations it cannot assist, for example. Additionally, 47 percent of respondents say that AI can greatly enhance inventory management by helping to effectively manage costs and buyers' needs. That is, AI technology tracks quantities of supply and demand at both ecommerce sites and physical locations, ensuring they are in sync.

According to a survey conducted at the EmTech Digital conference in March 2019, U.S. business leaders shared their opinions on trust issues with regard to AI data quality and privacy. Nearly half of respondents reported a lack of trust in the quality of AI data in their companies, showing that there is still a long way to go to get quality AI data.

Western nations were the most reluctant to trust and accept artificial intelligence (AI) driven systems across private and personal space. This might be related to an innate reluctance to relinquish personal information and accept computer-driven algorithms as replacement workers. Among those most willing to trust and accept AI, the BRICS countries (Brazil, Russia, India, China, and South Africa) were most likely to put their faith in algorithms. It must be noted that Russia was not part of the survey.

According to a survey conducted in December 2021, 64 percent of clinicians in the Asia Pacific and South America regions believed that in future they will make the majority of their decisions using clinical decision support tools that use artificial intelligence (AI). On the other hand, fewer than 50 percent of clinicians surveyed in Europe and North America agreed that the majority of clinical decisions in ten years' time will be based on AI.

Tech, media, and telecoms industries were the most diligent adopters of AI in 2024, with some 44 percent of respondents using AI in their business. AI was most used in the product and/or service development functions, with only those working in consumer goods and retail using it less than 20 percent.

Combined, China had the highest rate of exploring and deploying artificial intelligence (AI) globally in 2022. It was followed closely by India and Singapore. This lead was also marked when accounting only for the deployment of AI in organizations in China, with India following. Both nations had a nearly 60 percent deployment rate. When accounting only for exploration, however, the leading nations were Canada and the United States.

AI in Europe on the rise

Europe contains an exceptionally vibrant technology sector. This is particularly true in the field of AI, where funding for startups specializing in this high-demand technology stood at more than 1.4 billion U.S. dollars in late 2022. Many of Europe’s major economies are leaders in the exploration and deployment of AI and are ahead of the global curve.

Opportunities for early adopters

Those businesses that begin using AI early will find it easier to reap the benefits. The most desirable effect, or at least the one that directly affects most businesses, is a revenue increase as it underpins the whole of their business model. The most important benefit of AI usage in enterprises is in supply chain management and human resources.

Major improvements to supply chains provide a major boost to revenue by using AI to map out idiosyncrasies and problematic stops. When it comes to human resources, the use of AI can drastically reduce time in hiring cycles by enabling AI-driven algorithms to select those candidates whose resume most aligns with the job requirements.

The statistic shows the number of papers published in the field of artificial intelligence (AI) by country worldwide from 1997 to 2017. The number of AI-related papers published in the United States amounted to almost 370 thousand.

In 2023, 62 percent of surveyed internet users worldwide expressed concerns regarding organizational use of AI. A further 60 percent said they had already lost trust in companies because of their use of AI. However, some 48 percent of the survey respondents said AI can positively impact and help improve our lives. Furthermore, 54 percent said they would share anonymized personal data to improve AI products.