⚡ Digital Adoption in Hungary

Digital adoption is the process of enabling people to fully understand and use digital tools, websites, or apps in their daily tasks.

Hungary is a Central European country with a population of around 9.6 million people.

According to our data, digital adoption platforms are used on 0.1% of websites from Hungary.

⭐ Most Popular in 2026

The following chart shows the top digital adoption platforms in Hungary in 2026, based on market share.

The most popular is Intercom, which dominates the market with an overwhelming 79.4% share.
It is followed by Intro.js with 8.8% and Gainsight with 5.9%.

🚀 Highlights

Here is a list of the top platforms that are more popular in Hungary than worldwide.
Differences between global and country rankings are shown in parentheses.

✨ Best Digital Adoption Platforms

Below is a more detailed list of 5 digital adoption platforms used on sites from Hungary, ranked by their market share.

RankNameMarket share
1
Intercom
San Francisco, California, United States

An AI-powered customer service platform that unifies chatbots, help desk workflows, and proactive outbound messaging.

$39+/month
2
Intro.js
Dublin, Ireland

A lightweight open-source JavaScript library for creating step-by-step onboarding tours in web applications.

FreeOpen source$9.99+
3
Gainsight
San Francisco, California, United States

A customer success platform that helps businesses analyze churn risk, improve customer retention, manage renewals, and measure customer lifecycle performance.

$10,000+/year
4
Shepherd
Middleburg, Virginia, United States

An open-source digital adoption platform that lets developers build custom onboarding tours, trainings, and announcements inside web applications.

FreeOpen source$50+
5
Pendo
Raleigh, North Carolina, United States

A product experience and digital adoption platform that helps companies analyze user behavior, deliver in-app guidance, collect feedback, and improve software adoption across web and mobile applications.

Free$8,000+/year

👉 See Also

🗃️ About This Data