Use of artificial intelligence in enterprises – Statistics Explained

In recent years, artificial intelligence (AI) has transitioned from a futuristic concept into a fundamental aspect of business operations across diverse sectors. A report published in early 2025 sheds light on the adoption of AI technologies among enterprises within the European Union (EU). The statistics indicate a significant rise in AI usage, with noteworthy differences across enterprise sizes and industries, emphasizing the transformative potential of AI in the enterprise landscape.

As of 2024, approximately 13.48% of EU enterprises with ten or more employees have integrated AI technologies into their operations. This marks an increase of 5.45 percentage points from the previous year. Notably, large enterprises exhibited a higher adoption rate, with 41.17% utilizing AI technologies, compared to 20.97% of medium enterprises and 11.21% of small enterprises. This disparity may be attributed to various factors, including the complexities related to AI implementation, the benefits of economies of scale, and the associated costs that often render AI investments more feasible for larger organizations.

Among the sectors employing AI, the information and communication field stands out, comprising the highest share of AI users. In 2024, it reached 48.72%, followed by professional, scientific, and technical services at 30.53%. Conversely, industries like accommodation and construction witnessed lower usage rates, underscoring the varying applicability and relevance of AI technologies across sectors.

Diving deeper into the statistics, it becomes evident that the types of AI technologies utilized differ significantly among enterprises. The predominant AI technology in the EU during 2024 was text mining, utilized by 6.88% of enterprises. Other noteworthy technologies included natural language generation and machine learning for data analysis, with usage rates hovering around 5.41% and 4.78%, respectively. Interestingly, technologies enabling machines to physically move—such as self-driving vehicles—were used by a mere 1.01% of enterprises, indicating that while the potential for AI is vast, its implementation in physical domains remains nascent.

A closer examination of specific industries reveals a preference for certain AI applications. For example, in the information and communication sector, text mining was remarkably prevalent, with 30.11% of enterprises reporting its usage. In contrast, manufacturing enterprises utilized AI primarily for marketing and sales efforts, as well as for production processes—highlighting how AI can optimize both customer engagement and operational efficiency.

The rationale behind adopting AI technologies is multifaceted. According to the data, 34.08% of enterprises employed AI for marketing or sales, while 27.51% utilized it for business administration processes. Interestingly, only 6.12% of enterprises employed AI for logistics—a reflection of the relatively untouched potential within that domain. Notably, the purpose of AI usage varied significantly between small and large businesses, especially regarding ICT security and production processes, where large enterprises led in adoption.

This progressive integration of AI within the business sphere raises critical discussions surrounding the future of work and operational practices. Enterprises recognize not only the efficiencies AI can usher in but also the strategic advantages it brings in terms of decision-making and resource allocation. As organizations adapt to these new technologies, they are positioning themselves to better meet the demands of a rapidly evolving market and consumer expectations.

The increased reliance on AI technologies is not only transforming individual enterprises but also influencing broader industry trends within the EU. The commitment to fostering a digital economy has been echoed by EU leadership, with initiatives aimed at enhancing digital infrastructure and fostering innovation across member states. The statistics presented mirror these efforts, as they reveal a unified push towards embracing advanced technologies to ensure a competitive edge on the global stage.

However, the journey of AI adoption is not without challenges. Small enterprises often face hurdles in navigating the intricacies of AI implementation, primarily due to resource constraints and a lack of technical expertise. The disparity in adoption rates between small and large organizations underscores the necessity for supportive measures that enable equitable access to AI technologies.

As enterprises plan for the continued integration of artificial intelligence, an emphasis on education and skills development will be paramount. Creating a workforce adept in AI technologies will not only facilitate smoother transitions but also ensure that the benefits of AI are realized across the entire spectrum of business sizes.

In conclusion, the rise of AI technologies within EU enterprises signifies a pivotal moment in the evolution of business operations. With growing adoption rates and diverse applications across various sectors, organizations stand to gain immensely from the efficiencies and capabilities offered by AI. As we move forward, continued investment in technology and talent will shape the future landscape, enabling businesses to thrive in an increasingly digital economy. The road ahead may be filled with complexities, but the mutual commitment of enterprises and policymakers to harness the power of AI presents a hopeful outlook for innovation and growth.

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