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Mobile App Crashes Tied to Network Issues

Andrew Levy

In our most recent report, Apteligent uncovered that a surprisingly high number of crashes among iOS and Android apps are caused through interactions with cloud services. One of the most impactful pieces of information to come from this report was that 20 percent of mobile app crashes are correlated with a network issue.

The report, titled Network Crash Edition, analyzed why there is such an alarming rate of mobile app crashes during interactions with cloud services, comparing failure rates on both iOS and Android as well as looking at which app store categories are most impacted.

Network Crash Edition identified the reasons behind these issues occurring at such an alarming rate. The report’s key findings include:

■ Android Nougat has the highest crash rate and is 2.5 times more likely to have a network crash than iOS 10.

■ Fabric, Twitter's analytics and advertising platform, crashes apps, ranking third worst in analytics and fifth worst in advertising.

■ Medical, finance and shopping apps are among the most susceptible to network crashes.

■ 88 percent of network calls involved in a crash were successful but returned unexpected data that led to a crash. In fact, 10 percent of successful network calls returned no data and then led to a network crash.

■ 20 percent of mobile app crashes are correlated with a network issue

Apps today are driving the majority of media consumption activity, a recent Comscore report claims. Apps now account for 7 out of every 8 minutes of media consumption on mobile devices. On smartphones, app activity is even higher, at 88% usage versus 82% on tablets.

Data from Nielsen on mobile media time reported a high consumer preference for mobile apps with 89% of consumer media time spent in those mobile apps. And that growth is not showing any signs of slowing down. Brands can’t afford to have their apps crashing on a regular basis and potentially causing irreparable damage to the user experience.

Actionable mobile app insights can be used to diagnose app performance issues that impact user experience, such as crashes, freezes, and issues in user flows, and tie those problems to key business metrics. These insights are, and will continue to be, critical in improving the digital arm of any business.

Andrew Levy is the Co-Founder and Chief Strategy Officer of Apteligent.

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Mobile App Crashes Tied to Network Issues

Andrew Levy

In our most recent report, Apteligent uncovered that a surprisingly high number of crashes among iOS and Android apps are caused through interactions with cloud services. One of the most impactful pieces of information to come from this report was that 20 percent of mobile app crashes are correlated with a network issue.

The report, titled Network Crash Edition, analyzed why there is such an alarming rate of mobile app crashes during interactions with cloud services, comparing failure rates on both iOS and Android as well as looking at which app store categories are most impacted.

Network Crash Edition identified the reasons behind these issues occurring at such an alarming rate. The report’s key findings include:

■ Android Nougat has the highest crash rate and is 2.5 times more likely to have a network crash than iOS 10.

■ Fabric, Twitter's analytics and advertising platform, crashes apps, ranking third worst in analytics and fifth worst in advertising.

■ Medical, finance and shopping apps are among the most susceptible to network crashes.

■ 88 percent of network calls involved in a crash were successful but returned unexpected data that led to a crash. In fact, 10 percent of successful network calls returned no data and then led to a network crash.

■ 20 percent of mobile app crashes are correlated with a network issue

Apps today are driving the majority of media consumption activity, a recent Comscore report claims. Apps now account for 7 out of every 8 minutes of media consumption on mobile devices. On smartphones, app activity is even higher, at 88% usage versus 82% on tablets.

Data from Nielsen on mobile media time reported a high consumer preference for mobile apps with 89% of consumer media time spent in those mobile apps. And that growth is not showing any signs of slowing down. Brands can’t afford to have their apps crashing on a regular basis and potentially causing irreparable damage to the user experience.

Actionable mobile app insights can be used to diagnose app performance issues that impact user experience, such as crashes, freezes, and issues in user flows, and tie those problems to key business metrics. These insights are, and will continue to be, critical in improving the digital arm of any business.

Andrew Levy is the Co-Founder and Chief Strategy Officer of Apteligent.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.