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DownloadThe 20th edition of the Casaleggio Associati “Ecommerce Italia” conference was held on April 22, 2026 in Milan in a new location with over 350 professionals from the ecommerce world and the presence on stage of managers from leading companies. It was one of the main conferences on Digital Commerce in Italy and a unique moment to explore data, strategies, trends and market evolutions.
During the morning, the results of the research were presented and talks with Ecommerce managers were held. This was followed by a networking lunch and in the afternoon, workshops with the most significant success stories and in-depth focuses.
Download the research
DownloadTwenty years of research on Ecommerce have given us a unique perspective on a market that, at the start of this research, was worth just under 2 billion euros—a figure that today is surpassed by individual operators in the top 10 alone, out of the over 16,000 businesses we monitor each month. Over the past two decades, we have witnessed the explosive growth of a sector driven by continuous innovation, often underestimated at the time of its emergence. Mobile, initially dismissed for having a screen that was “too small,” has proven to be the most effective tool for facilitating purchases at all times of the day. SaaS platforms have solved the chronic problem of IT teams perpetually tied up in updates and integrations. Payment systems, with the introduction of standards like 3D Secure, have necessitated urgent solutions to recover conversion rates that plummeted almost overnight. Marketplaces, long considered unsuited to the complexity of the Italian market, have instead arrived and imposed service standards that everyone has had to contend with. And then there are the regulations that, especially in recent years, have forced continuous innovation in technologies and processes: accessibility, duties, and retailer liability.
Over time, all of this has built solid barriers to entry, made up of accumulated investments and expertise, fueled by expert Ecommerce managers and, increasingly, by merchants of record capable of outsourcing the entire operation. But today we are likely facing the greatest upheaval in the sector since its inception. What happens when it is no longer the consumer who buys online, but their AI butler? Are we about to shift from B2C to B2A2C? If AI agents become the new customers, the website ceases to be necessary: all that’s needed is a product catalog and purchase terms in JSON format. The acceleration driven by Google, Shopify, OpenAI, and Amazon makes it clear that protocols for interacting with agents will be essential as early as 2026 for any merchant. This isn’t about adopting yet another technology: we are about to witness a redefinition of the very concept of Ecommerce. In this Report, we sought to explore the only defenses that brands and retailers can activate before finding themselves within an automatic, continuous, and intelligent comparison engine capable of comparing their offerings with those of tens of thousands of competitors in the blink of an eye. There are three such defenses: a brand positioned as essential, indispensable shopping experiences, and a direct and solid relationship with their customers.
In Italy, the number of internet users recorded at the end of last year stood at 53.1 million, with a penetration rate of 89.9%—stable compared to the previous year—and 41.2 million Italians are also active on social media.
Last year, the average number of monthly unique users in Italy was 44.1 million (population aged 2 and older), a figure in line with the previous year, with an average of 37 million people online on an average day (+0.4% compared to 2024). In December 2025, nearly 44 million people were online, equal to 75.4% of the population aged 2 and older.
Mobile devices (smartphones and/or tablets) remain the driving force, having further consolidated their central role last year: on average over the year, 35.4 million unique adult users browsed via mobile on an average day (+1.3% year-over-year), while computer usage dropped to 9.8 million individuals on an average day (-9.5%).
The adoption of AI in businesses is already underway for a significant share of operators: 35% report having already implemented it. At the same time, many companies plan to introduce it in the short term: 26% expect adoption within a year, while 12% indicate an even more immediate timeline of six months. A portion of businesses, however, views implementation as a medium-term prospect, with 22% expecting to introduce it within three years and a smaller share, 5%, within five years. Overall, AI thus appears poised to gradually permeate the business landscape in the coming years.
Companies that have integrated AI into their processes primarily use it for the creation and management of product content and images, as indicated by 19% of respondents. This is followed by SEO management (14%) and content translation (13%), areas in which artificial intelligence is increasingly being used to accelerate and scale content production. Other key areas of application include data analysis and forecasting (12%) and customer service and relationship management (11%). AI is also used for personalizing the customer experience and for process automation, both cited by 8% of companies. More specific applications include the automation of advertising activities (7%) and the creation of new products (5%). Meanwhile, 3% of companies report that they do not yet use artificial intelligence technologies.
The adoption of AI is primarily slowed down by certain difficulties related to selecting solutions and evaluating their economic viability. The main obstacle reported by companies is the difficulty in selecting the most suitable technology partner (14%), followed by the difficulty in demonstrating the ROI of AI solutions (13%). Other key challenges include risks related to privacy and regulatory compliance, such as the GDPR (11%), along with a lack of internal technical expertise (11%). These are followed by the lack of a clear AI strategy within the company, the high cost of solutions, and the complexity of integration with existing systems (all cited by 9% of companies).
Meanwhile, 8% cited the lack of relevant business cases or industry benchmarks, while 7% reported encountering no particular difficulties in adopting artificial intelligence. Finally, resistance to change from management or internal teams (6%) and lengthy implementation times (3%) were less significant.
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