Tech
Europe’s 2025 App Market Shows Divide Between Downloads and Revenue
Europe’s app market in 2025 reveals a clear gap between what users download and what generates the most revenue. While utility, shopping, and AI apps lead in downloads, entertainment, subscription, and dating apps dominate earnings.
According to estimates from AppFigures shared with Euronews Next, the most downloaded app in the EU last year was ChatGPT, with just over 64 million downloads. It was followed by shopping platform Temu with nearly 44 million. Downloads for other top apps drop to around 27 million, including Threads (27.3 million), TikTok (26.8 million), CapCut (25.5 million), and Google Gemini (25.2 million). Rounding out the top ten were WhatsApp Messenger, Revolut, Vinted, and Lidl Plus, each exceeding 22 million downloads.
Productivity apps emerged as a major category, driven largely by artificial intelligence. ChatGPT and Google Gemini signal AI tools moving from niche use to mainstream adoption, as Europeans increasingly rely on AI for work, study, and personal tasks. Shopping apps also featured prominently, with Temu, SHEIN, Vinted, Lidl Plus, and Klarna ranking high. Photo and video apps reflect the rising importance of content creation for social media and small businesses.
Despite dominating downloads, these apps do not always generate the highest revenue. AppFigures data show that TikTok earned an estimated €740 million in Europe, making it the top-grossing app, even though it ranked fourth in downloads. ChatGPT followed with €448 million, demonstrating that AI subscriptions are converting users into paying customers.
Dating apps also ranked high by revenue despite not appearing among the top downloads. Tinder generated €429 million, while Bumble and Badoo recorded €125 million and €81 million, respectively. Streaming services such as Disney+ (€351 million), Amazon Prime Video (€323 million), Google One (€283 million), and YouTube (€243 million) highlight the continued strength of subscription-based digital content.
“The drivers behind spending in top-earning EU apps show a more diverse mix than several years ago, when most spending outside of mobile games went to entertainment and dating apps, such as Disney+, Spotify, Tinder, and Hulu,” Randy Nelson, head of market insights at AppFigures, told Euronews Next.
App rankings also vary significantly by country. In the UK, domestic finance and government services are popular, with GOV.UK ID Check and HMRC among the most downloaded apps. Local retail and finance platforms such as Monzo and Tesco also rank highly. In Turkey, state-backed digital services like e-Devlet Kapısı and e-Nabız, alongside local e-commerce platforms Trendyol and sahibinden, dominate downloads, reflecting a preference for national platforms over cross-border alternatives.
Revenue estimates focus on in-app spending, including subscriptions and digital content, and do not account for physical goods or services. These figures also exclude the roughly 30 percent platform fee taken by Apple and Google, meaning actual developer earnings are lower than the reported totals.
The data underline the evolving European app market, where popularity does not always translate into revenue, and local preferences shape user behaviour in individual countries.
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Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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