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App Store Ecosystem Reaches $1.4 Trillion Ahead Of WWDC

Robust Growth Ahead Of WWDC

Apple on Thursday released its annual report on the App Store ecosystem ahead of the company’s Worldwide Developers Conference (WWDC). According to the report, developers generated $1.4 trillion in billings and sales through the App Store ecosystem in 2025, up from $1.3 trillion a year earlier.

Diverse Revenue Streams Fueling Expansion

The figures include activity across a range of categories extending beyond digital purchases. Apple said 90% of transactions generated through the ecosystem did not incur App Store commissions. Commissions applied primarily to digital goods and services, with rates ranging between 15% and 30%.

Impressive Scale Across Markets

The report further breaks down the totals: $1.1 trillion was generated via sales of physical goods and services, while digital goods accounted for $149 billion. Additionally, in-app advertising revenue reached $151 billion in 2025, marking a modest yet meaningful growth compared to the previous year. Consider the scale: these figures collectively demonstrate a multibillion-dollar arena where even a modest commission translates into substantial revenue streams.

Global User Engagement And Innovative Cloud

Apple reported more than 850 million average weekly visitors across the App Store in 175 countries and regions. The company said the platform continues to connect developers with users across global markets.

AI: The Next Frontier

In a notable highlight of the report, 40 of the top 100 apps in 2025 integrated consumer-facing AI capabilities, experiencing more robust growth than their peers. This dynamic development hints at Apple’s forthcoming WWDC announcements regarding AI-driven app enhancements, potentially including new provisions for AI agents on the App Store.

Global Expansion And Market Leadership

Regional data show that App Store billings and sales in China have more than doubled over the past six years. During the same period, billings and sales more than tripled in both the United States and Europe. Physical goods and services, including retail purchases, ride-hailing and grocery delivery, remained the largest category within the App Store ecosystem. Developers and investors will be watching WWDC for further details on Apple’s plans for artificial intelligence and future platform development.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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