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Poor Digital Experience with Consumer Medical Wearables Is Wearing Thin

Gregg Ostrowski
AppDynamics

Across the world, people's appetite to track and analyze data on all things relating to their health and wellbeing continues to rise. From physical activity and heart rate to blood pressure and sleep patterns, we increasingly want to monitor and manage a whole host of health-related metrics.

This explains why the market for consumer medical wearables is one of the fastest growing sectors in the technology industry. Recent data showed that the global wearable healthcare market is projected to reach $30.1 billion by 2026 from $16.2 billion in 2021. According to Deloitte, 320 million consumer medical wearables will ship globally in 2022.


Photo from rapidsos.com

At Cisco AppDynamics, we recently conducted research exploring consumer attitudes and behaviors in relation to wearable technology. The results illustrated the scale of consumer demand and expectation in this area — 37% of people say that they are already using at least one wearable technology device and as many as 73% plan to increase their use of wearable technologies and associated applications over the next 12 months.

There is a real excitement about the potential benefits of wearable technology for people's health and wellbeing, and on overall population health, at a time when many healthcare systems are still reeling from the impact of the Covid-19 pandemic. In truth, 85% of people agree that wearable technology has the potential to positively transform both their own personal health and public health services as a whole. Without doubt, the impact of people taking a more proactive approach and greater personal responsibility for their own health and wellbeing can only be a good thing.

Data Security and User Experience Is Key to Building Trust

When it comes to wearable technology, data is key. The devices that people wear capture data and feed this through to the growing number of applications that are now available for people to track, analyze and optimize their health and wellbeing. And in an area such as health, where the information captured can be so personally sensitive, the need for consumers to trust that the brands behind these applications are handling their data in a secure way is absolutely essential.

People want real-time access to accurate health data and they want to be able to share their data with friends and family. This is seen as pivotal for a good user experience. But at the same time, they have zero tolerance for brands that fail to protect the privacy and security of their data.

In our study, 87% of global consumers claimed that trust is a critical factor when choosing a wearable medical device or application brand. And, 86% expect companies offering wearable technology and applications to demonstrate a higher standard of protection for their personal data than any other technology they use.

Evidently, wearable technology and application providers need to ensure they are upholding the highest levels of application security in order to build trust with existing customers and to reassure the wider market.

But it's important to recognize that consumer trust is not only built around data privacy and security. Application providers also need to ensure that they are providing seamless experiences at all times, otherwise they risk seeing customers walk away, never to return. Our research provides a pretty stark warning for digital health application providers about the risks of poor IT performance and availability — that's everything from slow or unresponsive pages, password and login issues or difficulties with downloads and installations.

Consumers simply won't put up with any problems when using wearable technology and digital health applications and they're not willing to give second chances. 75% of people claim that they would stop using a specific wearable device or application if they had a single bad digital experience; and a staggering 56% of people claim that a bad digital experience with one wearable device or application would put them off trying other health or wellbeing wearable technology.

To put that into context, if somebody encounters a problem with a wearable device or digital health application, they won't just decide not to use the brand in question again, it's likely they'll turn their back on all wearable technology going forward.

Of course, after the initial disappointment and frustration (and sometime) has passed, some people would probably be willing to give wearable technology another try, but these findings really do showcase the importance people now attach to digital experience and the strong reactions people are having to poorly performing technology.

Unified Visibility Into IT Performance Is Critical to Meet Customer Expectations and Seize the Opportunity for Wearable Technology

With the pressure growing on digital health application owners to deliver frictionless user experiences at all times, it's essential that they have real-time visibility into IT performance up and down the IT stack, for compute, storage, network and public internet, from the customer-facing application to deep down in the back-end. Full-stack observability is vital for technologists to be able to identify and fix issues before they impact users.

But with so much complexity across an increasingly sprawling IT estate, and IT departments being overwhelmed by a constant deluge of data, technologists need a business lens on IT performance data to cut through the noise and pinpoint the data that really matters most. They need to understand which issues could have the biggest impact on customers so they can prioritize their actions in the right places.

By connecting full-stack observability with real-time business metrics, technologists can optimize application performance at all times and ensure they're able to meet heightened consumer expectations. By doing this, digital health application owners can build trust with customers and set themselves up to take full advantage of the massive opportunities that now exist in the wearable technology market.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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Poor Digital Experience with Consumer Medical Wearables Is Wearing Thin

Gregg Ostrowski
AppDynamics

Across the world, people's appetite to track and analyze data on all things relating to their health and wellbeing continues to rise. From physical activity and heart rate to blood pressure and sleep patterns, we increasingly want to monitor and manage a whole host of health-related metrics.

This explains why the market for consumer medical wearables is one of the fastest growing sectors in the technology industry. Recent data showed that the global wearable healthcare market is projected to reach $30.1 billion by 2026 from $16.2 billion in 2021. According to Deloitte, 320 million consumer medical wearables will ship globally in 2022.


Photo from rapidsos.com

At Cisco AppDynamics, we recently conducted research exploring consumer attitudes and behaviors in relation to wearable technology. The results illustrated the scale of consumer demand and expectation in this area — 37% of people say that they are already using at least one wearable technology device and as many as 73% plan to increase their use of wearable technologies and associated applications over the next 12 months.

There is a real excitement about the potential benefits of wearable technology for people's health and wellbeing, and on overall population health, at a time when many healthcare systems are still reeling from the impact of the Covid-19 pandemic. In truth, 85% of people agree that wearable technology has the potential to positively transform both their own personal health and public health services as a whole. Without doubt, the impact of people taking a more proactive approach and greater personal responsibility for their own health and wellbeing can only be a good thing.

Data Security and User Experience Is Key to Building Trust

When it comes to wearable technology, data is key. The devices that people wear capture data and feed this through to the growing number of applications that are now available for people to track, analyze and optimize their health and wellbeing. And in an area such as health, where the information captured can be so personally sensitive, the need for consumers to trust that the brands behind these applications are handling their data in a secure way is absolutely essential.

People want real-time access to accurate health data and they want to be able to share their data with friends and family. This is seen as pivotal for a good user experience. But at the same time, they have zero tolerance for brands that fail to protect the privacy and security of their data.

In our study, 87% of global consumers claimed that trust is a critical factor when choosing a wearable medical device or application brand. And, 86% expect companies offering wearable technology and applications to demonstrate a higher standard of protection for their personal data than any other technology they use.

Evidently, wearable technology and application providers need to ensure they are upholding the highest levels of application security in order to build trust with existing customers and to reassure the wider market.

But it's important to recognize that consumer trust is not only built around data privacy and security. Application providers also need to ensure that they are providing seamless experiences at all times, otherwise they risk seeing customers walk away, never to return. Our research provides a pretty stark warning for digital health application providers about the risks of poor IT performance and availability — that's everything from slow or unresponsive pages, password and login issues or difficulties with downloads and installations.

Consumers simply won't put up with any problems when using wearable technology and digital health applications and they're not willing to give second chances. 75% of people claim that they would stop using a specific wearable device or application if they had a single bad digital experience; and a staggering 56% of people claim that a bad digital experience with one wearable device or application would put them off trying other health or wellbeing wearable technology.

To put that into context, if somebody encounters a problem with a wearable device or digital health application, they won't just decide not to use the brand in question again, it's likely they'll turn their back on all wearable technology going forward.

Of course, after the initial disappointment and frustration (and sometime) has passed, some people would probably be willing to give wearable technology another try, but these findings really do showcase the importance people now attach to digital experience and the strong reactions people are having to poorly performing technology.

Unified Visibility Into IT Performance Is Critical to Meet Customer Expectations and Seize the Opportunity for Wearable Technology

With the pressure growing on digital health application owners to deliver frictionless user experiences at all times, it's essential that they have real-time visibility into IT performance up and down the IT stack, for compute, storage, network and public internet, from the customer-facing application to deep down in the back-end. Full-stack observability is vital for technologists to be able to identify and fix issues before they impact users.

But with so much complexity across an increasingly sprawling IT estate, and IT departments being overwhelmed by a constant deluge of data, technologists need a business lens on IT performance data to cut through the noise and pinpoint the data that really matters most. They need to understand which issues could have the biggest impact on customers so they can prioritize their actions in the right places.

By connecting full-stack observability with real-time business metrics, technologists can optimize application performance at all times and ensure they're able to meet heightened consumer expectations. By doing this, digital health application owners can build trust with customers and set themselves up to take full advantage of the massive opportunities that now exist in the wearable technology market.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

Hot Topics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...