Why the App Store Is Booming Again — And How AI Is Driving It

The Prediction That Is Not Playing Out

For the better part of two years, a credible argument has circulated in the technology industry: AI chatbots and agents would reduce user dependence on dedicated mobile applications. Why open a standalone app to check a recipe, book a flight, or manage a task list when a conversational AI agent could handle any of those in a single interface? Proponents included serious voices. Carl Pei, CEO of Nothing, has built his company's smartphone strategy around the premise that the AI era demands a fundamentally different relationship between users and their devices, one where apps become optional rather than central.

The data for Q1 2026 does not support that premise, at least not yet. It supports a different story entirely.

According to new analysis from market intelligence provider Appfigures, worldwide app releases in the first quarter of 2026 were up 60 percent year-over-year across both Apple's App Store and Google Play combined. Looking at the iOS App Store alone, that figure rises to 80 percent. In April 2026 so far, total app releases across both stores are up 104 percent compared to the same period last year. On iOS alone, the April figure is up 89 percent.

Apple's Senior Vice President of Worldwide Marketing, Greg Joswiak, captured the tone of the moment in a recent interview, saying that rumors of the App Store's death in the AI age "may have been greatly exaggerated."

Why App Releases Are Surging: The AI Creation Hypothesis

The question the data immediately raises is why. App store growth had been slowing for years before this reversal. The category has been in a long decline from the gold rush era of the early 2010s, when the novelty of smartphone software and a fresh marketplace combined to drive explosive growth in both submissions and downloads. That era peaked and plateaued. For most of the past decade, the dominant narrative about the App Store was saturation, not growth.

The hypothesis that explains the reversal is the same technology that was supposed to reduce it. AI coding tools, including Claude Code, Replit, GitHub Copilot, and a growing ecosystem of no-code and low-code platforms powered by large language models, have dramatically lowered the barrier to building and shipping a functional application.

Previously, launching an app required either programming knowledge or the budget to hire someone who had it. Ideas and execution were separated by a skill gap that most people could not close. AI coding assistants change that equation. A person with a clear idea, no formal programming background, and access to the right tools can now take a concept to a submitted app in days rather than months, without hiring a developer.

The working hypothesis in Appfigures' analysis is that this democratisation of development is driving the surge. The new app gold rush is being led not by professional development studios but by individual creators who have always had ideas but previously lacked the technical means to execute them. The app market is growing not because more professional developers are building more apps, but because the definition of who can build an app has expanded significantly.

The Categories That Are Growing

Appfigures' data on which categories are seeing the most new releases offers a more granular view of what this looks like in practice.

Mobile games continue to account for the majority of new app releases worldwide as of Q1 2026, consistent with prior years. Games have always dominated app store volume by count. What is new is the movement in other categories.

Productivity apps have entered the top five for the first time this year, reflecting an increase in apps targeting work and task management workflows. The utilities category has moved up to the number two slot overall, suggesting growth in tools-oriented apps designed to handle specific, repeatable tasks. Lifestyle apps have risen from fifth position last year to third this year. Health and fitness applications have rounded out the top five.

The pattern across these categories is consistent with the creation hypothesis. Productivity tools, utilities, lifestyle apps, and health and fitness applications are exactly the categories where a motivated individual with a specific need is most likely to build their own solution when the technical barrier to doing so is removed. These are not complex, heavily engineered applications. They are the kind of focused, single-purpose tools that a developer in a weekend or a non-developer with AI assistance over the course of a few days could realistically ship.

The Two-Way Relationship Between AI and Apps

The growth story is not simply that AI is enabling more people to build apps. There is a second dynamic worth understanding: AI features are also driving downloads and engagement within existing apps, creating commercial incentives for new entrants.

Users are downloading AI-powered apps at high rates. AI writing assistants, image generation tools, voice interfaces, and AI-enhanced productivity applications have all seen significant adoption over the past eighteen months. The presence of a credible AI feature has become a meaningful differentiator in categories that were previously commodity markets. An app that integrates a useful AI capability has a competitive angle that a comparable app without AI lacks.

This creates a reinforcing dynamic. AI tools make it easier to build apps, and AI features within apps are rewarded by user behaviour. The combination reduces both the cost of entry and the risk that a new app will fail to differentiate. For a first-time developer building something specific, the window for finding an audience has widened.

The Quality Question

The data confirms that more apps are being released. It does not confirm that more high-quality apps are being released.

A common concern raised about AI-driven app creation is that the tools producing a flood of new submissions will also produce a flood of low-quality, low-effort applications that clutter stores, confuse users, and dilute the value of the marketplace. Apple has acknowledged that AI-generated apps have become a front-line enforcement priority, with particular attention to apps that attempt to alter their behaviour after approval, a tactic sometimes used to pass review with a clean version before introducing different functionality in production.

The historical analogy is instructive. The App Store's first gold rush in the late 2000s and early 2010s also produced enormous volumes of low-quality apps alongside genuinely useful ones. The long-term outcome of that era was not a degraded marketplace but a matured one, with better discovery mechanisms, stronger review standards, and clearer user expectations. Whether the current wave follows a similar arc or creates different dynamics given the scale and speed of AI-assisted creation is genuinely unclear.

What is clear is that Apple and Google will face increasing pressure on their review infrastructure as submission volumes climb. A 100 percent year-over-year increase in new releases is not a marginal change. It is a fundamental shift in the volume of software moving through the review pipeline, and both platforms will have to adapt their processes to manage it.

What This Means for Developers

For developers currently building or considering building mobile applications, the data carries two signals that pull in opposite directions.

The first is encouraging. The App Store has historically rewarded early movers in new categories. A surge in new apps means new categories are forming and existing categories are being challenged with fresh approaches. The window for finding a meaningful position in a growing market is open.

The second is a caution. A 60 to 100 percent increase in new app releases means the competitive environment is intensifying rapidly. Discovery was already a significant challenge before this surge. Building an app is now genuinely accessible to more people than at any prior point in the mobile era, which means the advantage that came from being able to build at all is diminishing. The edge shifts to what surrounds the code: design quality, user research, distribution strategy, and the depth of insight into a specific user problem that motivates the creation of something genuinely useful rather than something technically functional.

The App Store is growing again. The reason appears to be that the tools for creating software have improved to the point where the population of people who can participate has expanded dramatically. Whether that expansion produces a durable improvement in the quality and usefulness of the software available to users, or primarily a surge in volume that strains discovery and review systems, will be visible in the data over the next several quarters.

If you are building a mobile application and want a development partner who understands both the technical foundations and the product strategy needed to stand out in an increasingly crowded marketplace, please reach out to MonkDA. We work with web and mobile development teams at every stage of building products that reach and retain users.