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CIOs Fear IoT Performance Will Become a Major Burden

Nearly three-quarters (74%) of IT leaders are concerned that Internet of Things (IoT) performance problems could directly impact business operations and significantly damage revenues, according to a new report, entitled Overcoming the Complexity of Web-Scale IoT Applications: The Top 5 Challenges, commissioned by Dynatrace

This is mostly because 78% of CIOs said there is a risk that their organization will roll-out IoT strategies without having a plan or solution in place to manage the performance of the complex cloud ecosystems that underpin IoT rollouts.

In fact, 69% of CIOs predicted that IoT will become a major performance management burden as they struggle to overcome the escalating complexity of their modern enterprise cloud environments.

“Businesses across every industry are eagerly exploring IoT’s potential to engage new markets, drive new revenue and create stronger competitive advantage,” said Dave Anderson, Digital Performance Expert at Dynatrace. “However, IoT ecosystems and delivery chains are intricate and boundless, which creates unprecedented frequency of change, size and complexity in the cloud environments on which they are built. Enterprises are already struggling to master cloud complexity and now IoT substantially magnifies this challenge.”

The report looks at the challenges organizations face in maintaining seamless software experiences as they continue to roll-out IoT ecosystems. Key findings include:

The scale of IoT is too big to manage in a traditional way

■ 73% of CIOs worry that the number of third-parties and internal resources involved in IoT service delivery chains will make it incredibly difficult to identify who is responsible when performance problems arise.

■ 52% of CIOs say understanding the impact that IoT platform providers and network operators have on performance is a key challenge to managing user experience in IoT.

■ 75% of CIOs are concerned that problems within the platform or network layer that impact the performance of their applications could be hidden from them by an IoT service provider.

It is impossible to master IoT complexity manually

■ 84% of CIOs believe that AI capabilities and the ability to automate most of the processes that support IoT deployments will play a crucial role in the success of their IoT strategies.

IoT is losing its ability to meet user expectations

■ 70% of CIOs worry that consumer and user expectations for faster, fault free experiences could soon increase beyond what IT teams are able to deliver.

■ 69% of CIOs fear losing control over the user experience as the IoT delivery chain continues to become more convoluted.

■ 64% of CIOs are worried that the spiraling numbers of wearables could soon make it impossible to manage mobile performance for such devices.

IoT creates new user experience headaches

■ Ensuring that IoT device firmware updates and security patches don’t have a negative performance impact (62%).

■ Having the ability to track application behaviour on IoT devices as they interact with cloud services (60%).

■ Understanding the impact of IoT device performance on the user-experience (53%).

■ Mapping the rapidly growing IoT ecosystem as it expands (38%).

“If IoT is to deliver on its promise, organizations can’t afford to be overwhelmed by the complexity issues it presents – which is exactly what happens if an enterprise is using a traditional monitoring approach,” adds Anderson. “Platform-specific tools and do-it-yourself solutions aren’t built for web-scale, highly dynamic, complex cloud environments – they leave you cobbling together a mix of solutions which will never add up to a sophisticated platform that gives you a complete view of your environment and automated way of making sense of everything real time.

“Organizations need a new approach that works at scale and simplifies IoT cloud complexity; a software intelligence platform that uses AI and automation to provide full operational insights into vast ecosystems of IoT sensors, devices, gateways, applications, and underlying infrastructure. With answers at their fingertips, rather than just more data on glass, organizations will be poised to enjoy the benefit from all that IoT technologies have to offer.”

Survey Methodology: The report is based on a global survey of 800 CIOs in large enterprises with over 1,000 employees, conducted by Vanson Bourne and commissioned by Dynatrace. The sample included 200 respondents in the US, 100 in the UK, France, Germany, and China, and 50 in Australia, Singapore, Brazil and Mexico respectively.

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CIOs Fear IoT Performance Will Become a Major Burden

Nearly three-quarters (74%) of IT leaders are concerned that Internet of Things (IoT) performance problems could directly impact business operations and significantly damage revenues, according to a new report, entitled Overcoming the Complexity of Web-Scale IoT Applications: The Top 5 Challenges, commissioned by Dynatrace

This is mostly because 78% of CIOs said there is a risk that their organization will roll-out IoT strategies without having a plan or solution in place to manage the performance of the complex cloud ecosystems that underpin IoT rollouts.

In fact, 69% of CIOs predicted that IoT will become a major performance management burden as they struggle to overcome the escalating complexity of their modern enterprise cloud environments.

“Businesses across every industry are eagerly exploring IoT’s potential to engage new markets, drive new revenue and create stronger competitive advantage,” said Dave Anderson, Digital Performance Expert at Dynatrace. “However, IoT ecosystems and delivery chains are intricate and boundless, which creates unprecedented frequency of change, size and complexity in the cloud environments on which they are built. Enterprises are already struggling to master cloud complexity and now IoT substantially magnifies this challenge.”

The report looks at the challenges organizations face in maintaining seamless software experiences as they continue to roll-out IoT ecosystems. Key findings include:

The scale of IoT is too big to manage in a traditional way

■ 73% of CIOs worry that the number of third-parties and internal resources involved in IoT service delivery chains will make it incredibly difficult to identify who is responsible when performance problems arise.

■ 52% of CIOs say understanding the impact that IoT platform providers and network operators have on performance is a key challenge to managing user experience in IoT.

■ 75% of CIOs are concerned that problems within the platform or network layer that impact the performance of their applications could be hidden from them by an IoT service provider.

It is impossible to master IoT complexity manually

■ 84% of CIOs believe that AI capabilities and the ability to automate most of the processes that support IoT deployments will play a crucial role in the success of their IoT strategies.

IoT is losing its ability to meet user expectations

■ 70% of CIOs worry that consumer and user expectations for faster, fault free experiences could soon increase beyond what IT teams are able to deliver.

■ 69% of CIOs fear losing control over the user experience as the IoT delivery chain continues to become more convoluted.

■ 64% of CIOs are worried that the spiraling numbers of wearables could soon make it impossible to manage mobile performance for such devices.

IoT creates new user experience headaches

■ Ensuring that IoT device firmware updates and security patches don’t have a negative performance impact (62%).

■ Having the ability to track application behaviour on IoT devices as they interact with cloud services (60%).

■ Understanding the impact of IoT device performance on the user-experience (53%).

■ Mapping the rapidly growing IoT ecosystem as it expands (38%).

“If IoT is to deliver on its promise, organizations can’t afford to be overwhelmed by the complexity issues it presents – which is exactly what happens if an enterprise is using a traditional monitoring approach,” adds Anderson. “Platform-specific tools and do-it-yourself solutions aren’t built for web-scale, highly dynamic, complex cloud environments – they leave you cobbling together a mix of solutions which will never add up to a sophisticated platform that gives you a complete view of your environment and automated way of making sense of everything real time.

“Organizations need a new approach that works at scale and simplifies IoT cloud complexity; a software intelligence platform that uses AI and automation to provide full operational insights into vast ecosystems of IoT sensors, devices, gateways, applications, and underlying infrastructure. With answers at their fingertips, rather than just more data on glass, organizations will be poised to enjoy the benefit from all that IoT technologies have to offer.”

Survey Methodology: The report is based on a global survey of 800 CIOs in large enterprises with over 1,000 employees, conducted by Vanson Bourne and commissioned by Dynatrace. The sample included 200 respondents in the US, 100 in the UK, France, Germany, and China, and 50 in Australia, Singapore, Brazil and Mexico respectively.

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Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...