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 ** 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 *** 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 adoption rate of artificial intelligence (AI) is expected to grow in companies operating in supply chains and manufacturing industries from 2022 to 2025. In 2022 ** percent of executives expected their companies to have a wide scale adoption of AI in their companies.

In 2024, artificial intelligence adoption has experienced a remarkable surge across global organizations. The percentage of companies integrating AI into at least one business function has dramatically increased to ** percent, representing a substantial leap from ** percent in the previous year. Even more striking is the exponential growth of generative AI, which has been embraced by ** percent of organizations worldwide. This represents an impressive increase of over ** percentage points, highlighting the technology's swift transition from an emerging trend to a mainstream business tool.

As of 2023, the United Stated of America concentrated the largest share of artificial intelligence (AI) companies worldwide, accounting for approximately **** percent of the global companies related to overall AI. The United Kingdom and India followed, with *** percent and *** percent of the AI companies worldwide.

In a 2024 global survey of senior travel technology leaders, over **** of respondents said that their companies used generative artificial intelligence (AI) to assist travelers during the booking process. Meanwhile, ** percent of the sample mentioned the use of generative AI for recommendations of activities or venues.

Singapore was the nation with the highest combined value where enterprises were exploring or had actively deployed AI within their business in 2023. China, India, and the UAE were all close behind, with over ** percent of respondents claiming exploration or deployment of AI. Western countries, in particular European mainland nations such as France, Germany, and Italy, had the highest rate of non-usage or no exploration of AI, though even the U.S. had a similar share of enterprises not engaged with AI. This may reflect the specialized industries that thrive in those countries, needing individualized human skills to operate.

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

A global survey involving companies with revenue higher than one billion U.S. dollars investigated the share of travel firms' revenue that was AI-influenced, namely sales that were finalized thanks to Artificial Intelligence insights. According to the study, roughly ** percent of the surveyed companies' revenue in the travel market was AI-influenced in 2021, rising sharply from just ************ in 2018. As forecast, the share of AI-influenced revenue in the travel industry was predicted to rise to ** percent in 2024.

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

During a survey conducted among marketing decision-makers from B2B and B2B2C technology companies in five countries, ** percent of the respondents reported using artificial intelligence (AI) for content creation either frequently or occasionally. On the other hand, **** percent of the interviewees stated that they never used AI for the respective matter.

The functions related to product development, IT and cybersecurity, and marketing, sales and customer service are where most of the generative AI (GenAI) adoption is concentrated in global organizations. The use of the technology is the highest in higher levels of expertise. Over ** percent and ** percent of the respondents, with respectively high expertise and very high expertise, report to be using generative AI in a limited or at-scale implementation.

When asked how their company measured effectiveness in using artificial-intelligence-driven personalization, ** percent of global business leaders identified data accuracy as the foremost criterion. Following closely behind were the speed of real-time data and customer retention or repeat purchases, each mentioned by ** percent of the respondents. Subsequently, ** percent identified time-saving for the business as another indicator of success.

Generative AI saw significant growth across financial services in 2024, with 52 percent of survey respondents reporting active use of the technology - up from 40 percent in 2023. The companies primary generative AI use case was enhancing customer experience and engagement, particularly through applications like chatbots, virtual assistants, and agent support tools.

Smaller companies with fewer employees globally were more likely to use artificial intelligence (AI) tools than larger companies in 2023. The largest weekly adoption of artificial intelligence (AI) tools was seen in small businesses like start-ups with about * to ** employees, with the highest adoption rate being in companies of ** to ** employees with about ** percent using AI tools.

The statistic shows the share of artificial intelligence (AI) companies by country worldwide as of June 2018. ** percent AI companies were located in the United States as of June 2018.

As of 2023, the United Stated of America concentrated the largest share of generative artificial intelligence (Gen AI) companies worldwide, accounting for approximately **** percent of the global companies related to Gen AI. The United Kingdom followed in second, with *** percent of the Gen AI companies worldwide.

The adoption rate of artificial intelligence (AI) is expected to gain considerable importance in product development companies worldwide between 2022 and 2025. Currently, companies operating in that sector were mostly, or ** percent, reporting limited adoption of AI in their production cycles. Technology executives expected this to change considerably by 2025.

As of Q1 2023, there were approximately 800 companies involved in drug discovery with artificial intelligence (AI). Far more than half of all these companies originated from the United States. The European Union ranked second with around 17 percent of these companies located within its member states.

Around one-third of travel managers surveyed worldwide in late-2024 said that the implementation of artificial intelligence (AI) at their companies for business travel programs was important, but not a priority in that year. Only ** percent said that they were already using AI for travel management tasks.

Most people in nearly all industries around the world have tried a generative AI tool at least once in 2023. Those working in retail and consumer goods industry were the largest group of those who had no exposure to generative AI tools. In general, those in technology, media, and telecom were far likelier to have used generative AI tools at work or outside of work regularly. This is perhaps unsurprising as these fields are the most likely to involve the use of generative AI in business practices. Generative AI employment change The effects of generative AI on employee numbers globally will be a serious consideration in the coming years. In 2023 most companies expected generative AI to decrease the number of employees in their business with the sole exception of product development and risk analysis., which was expected to change little. This is likely due to the fact that both require creativity and case-by-case analysis, something AI is still relatively bad in handling. Europe leads what? Globally users in North America use generative AI the most used generative AI regularly for work and outside of work. However, it was Europe that led in those using generative AI specifically in the workplace, being the only region with ************ response. Unsurprisingly, users in developing markets were the least likely to have been exposed to generative AI at all.