AI applications: adoption accelerates across European enterprises
The use of Artificial Intelligence applications in European businesses is experiencing steady and significant growth, marking the transition from a phase of experimentation to one of structured implementation.
Eurostat 2025 data outlines a rapidly evolving landscape: nearly 20% of companies with at least 10 employees in the European Union have integrated AI technologies into their operational processes.
While this result still highlights substantial room for growth, it represents a clear turning point compared to previous years and confirms that Artificial Intelligence is becoming an increasingly concrete tool within Europe’s productive fabric.
Notably, this growth is no longer limited to traditionally advanced digital economies. Instead, it is spreading – albeit at different speeds – across all Member States, suggesting a gradual democratization of access to advanced computing tools and intelligent automation.
The European landscape: adoption in numbers
In 2025, 19.95% of European enterprises with 10 or more employees adopted at least one Artificial Intelligence technology. This marks a 6.5 percentage point increase compared to 2024, rising from 13.5% to just under 20%.
Looking at previous years makes the trend even clearer: in 2021, adoption stood at 7.7%, and in 2023 it was just 8.1%. In less than four years, the penetration of AI applications in European businesses has nearly tripled.
Company size plays a decisive role in adoption rates: large enterprises lead the transformation with a 55% adoption rate, compared to just over 30% among medium-sized companies and 17% among small businesses. This gap reflects structural differences in investment capacity and the availability of skills required to manage complex AI projects.
How AI is used: the most common applications
The most widely adopted Artificial Intelligence applications in European enterprises in 2025 primarily involve natural language processing, a field that has greatly benefited from the rise of generative models.
At the top of the list is written text analysis, used by 11.8% of companies. This is followed by image, video and audio generation (9.5%), text and speech generation (8.8%), and speech-to-text conversion (7.2%).
The strongest growth compared to 2024 is seen in written language analysis, which increased by 4.9 percentage points. This clearly indicates that businesses are increasingly leveraging AI applications to manage and extract value from ever-growing volumes of textual data.
Leading and lagging countries
From a geographical perspective, the highest levels of AI adoption are found in Nordic countries, which have historically been more responsive to digital innovation thanks to favorable ecosystems. Denmark leads with 42% of companies adopting Artificial Intelligence technologies, followed by Finland (37.8%) and Sweden (35%).
At the lower end of the ranking are Romania (5.2%), Poland (8.4%), and Bulgaria (8.5%). Denmark also stands out for the highest annual growth rate, with an increase of +14.5 percentage points, followed by Finland (+13.5%) and Lithuania (+12.5%).
This widespread trend suggests that AI adoption is no longer confined to a few advanced economies, but is becoming a cross-cutting competitive requirement.
However, the persistence of double-digit gaps between Nordic leaders and Eastern European countries highlights the need for stronger digital cohesion policies to prevent fragmentation within the EU’s single technological market, ensuring that innovation does not become a further source of economic divergence among Member States.
Italy and AI: rapid growth, still below the EU average
In Italy, Istat data shows a significant acceleration: 16.4% of companies with at least 10 employees have adopted at least one AI technology, compared to 8.2% in 2024 and 5% in 2023.
The most notable growth is among large enterprises, which increased from 32.5% to 53.1%. SMEs have also doubled their adoption rate, from 7.7% to 15.7%, but the gap with larger companies remains wide, reflecting the fragmented nature of Italy’s productive system.
From a regional perspective, North-Western Italy recorded the strongest growth, rising from 8.9% to 19.3% in just one year.
The lack of specialized know-how remains the primary barrier to AI integration in business processes. Specifically, around six out of ten companies that decided not to invest in AI cite a skills shortage as the main reason. At the same time, concerns related to the regulatory framework and potential legal implications discourage 47.3% of potential investors.
Despite this, the untapped potential of the Italian market remains vast. Technological saturation is still far from being reached: 83.6% of Italian companies have not yet adopted any AI technology. This figure confirms that the journey toward full AI integration is still long, but also that growth opportunities are considerable.
This large reserve of potential adoption points to a new wave of investment yet to be written—one that will be crucial for bringing Italy’s business ecosystem in line with Europe’s most advanced standards.
