Report: AI Assistants Expected to Reduce Mobile App Usage by 2027

Report: AI Assistants Expected to Reduce Mobile App Usage by 2027

The Future of Mobile Apps: Rising AI Assistants – A Gartner Insight

Introduction
According to Gartner, Inc., mobile app usage is predicted to decline by 25% by 2027 due to the rise of AI assistants, including platforms like Apple Intelligence, ChatGPT, Google Gemini, and Meta AI. This shift will alter how smartphone users interact with mobile technology, as AI assistants begin to take over various app functions, from scheduling to shopping.

Key Details

  • Who: Gartner, Inc.
  • What: Forecasted decline in mobile app usage by 25%
  • Where: Global smartphone market
  • When: By the year 2027
  • Why: Increasing reliance on AI for everyday functions
  • How: Transition from standalone apps to integrated AI assistants

Why It Matters
This trend signifies a major disruption in the mobile app industry, challenging brands to adapt quickly to shifting user behaviors and preferences. Brands with minimal app engagement will face immediate repercussions, while those relying on app-driven revenue may see development costs decrease.

Expert Opinions / Statements
Emily Weiss, Senior Principal for the Gartner Marketing Practice, noted, “CMOs should begin scenario planning for the impacts of decreased mobile app usage… The loss of app users will also result in the loss of first-party data collection.”

What’s Next?
By 2026, over one-third of web content is expected to be tailored for Generative AI-powered search, prompting marketers to recruit talent skilled in AI-algorithm interaction. The marketing ecosystem will continue transforming, with a 30% budget shift towards subscription-based advertising channels anticipated by 2028.

Conclusion
In summary, the ascendancy of AI assistants signifies a pivotal change in mobile technology dynamics, prompting businesses to rethink their digital strategies to sustain growth and user engagement.

Stay Updated:
Follow Gartner for more insights on the future of mobile technology and AI impact.

meenakande

Hey there! I’m a proud mom to a wonderful son, a coffee enthusiast ☕, and a cheerful techie who loves turning complex ideas into practical solutions. With 14 years in IT infrastructure, I specialize in VMware, Veeam, Cohesity, NetApp, VAST Data, Dell EMC, Linux, and Windows. I’m also passionate about automation using Ansible, Bash, and PowerShell. At Trendinfra, I write about the infrastructure behind AI — exploring what it really takes to support modern AI use cases. I believe in keeping things simple, useful, and just a little fun along the way

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