Trends Report
Habit kept apps installed. The apps that know their users will keep them loved.
What 13,750 users across three markets reveal about the products they value, and where the next investment pays the most.
Mobile App Trends Report 2026
Why the report exists
What users value has not changed. How much of it they expect has
What separates the products users would actually miss from the rest comes down to four things: whether the product finishes the job the user came for, whether it feels good to use, whether it works without breaking, and whether the user trusts it. Together, these explain 77 percent of how users rate a product.
The strongest single predictor is the simplest: does the product finish the job the user came for? An app that completes the job scores higher than an app that starts ten.
AI did not change what users value. It raised how much of it they expect. ChatGPT, Gemini, and Claude hold a working memory of the user. Each reply is shaped for who is asking. Personalization arrived in the assistant tier first. Apps have promised it for fifteen years and rarely delivered. In this study, 47 percent of apps do not personalize the experience. A returning user notices when the product opens as if for the first time.
Every product now sits in two comparisons: the rest of its category, and the assistant the user already has open in another tab. The products that hold their ground solve a problem an assistant cannot reach. The products most at risk are those whose value sits within reach of a single prompt.
Apps are not going away. Users spend 3.6 hours a day in them. 149 billion apps were downloaded in 2025. The average user engages with 34 apps per month. Downloads, revenue, and time spent all hit all-time highs. The question is which apps users will still want on their phone in twelve months, and which they will let an assistant replace.
MATR 2026 measures where each product stands on the four things users value, and where the next investment earns the user’s loyalty.
Five findings that change the conversation
The full report defends each of these with this data. The summaries here are the part teams quote in roadmap discussions.
0
apps in the study clear good visual appeal while falling short on ease of use.
2.5x
is the difference between the mindset gap on modern design and the widest age gap in the dataset.
2%
of users name personalization in spontaneous feature requests. 47 percent of apps score below the bar on it.
4.0
is what ChatGPT earns on innovation and 3.0 on trust. Four of the five AI apps show the same shape.
28/30
of the highest-trust apps in the study are built for a single market. The bottom of the trust ranking is global products.
Each chapter answers one question
Read top to bottom for the full argument, or jump to the chapter that matches the question your team is asking.
Chapters
Start exploring the report.
01
Introduction: four drivers carry the signal
02
What strong apps get right
03
Where to play: the 2026 market map
04
Technical performance: where quality still varies
05
Experience: where design investment pays
06
Trust: the foundation every other driver depends on
07
The open ground
08
AI raises the bar. Trust decides who clears it
09
Future readiness: four moves for the next 12 to 18 months