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Device Management Presents Barrier to IoT at Scale

Pete Goldin
Editor and Publisher
APMdigest

Management of thousands or millions of Internet connected devices is posing a major obstacle to the success of the Internet of Things (IoT), according to DevicePilot (previously 1248).

These concerns are reflected in DevicePilot's survey of 50 companies planning to deploy IoT applications at scale across different industry sectors including environmental and industrial monitoring, elderly care/wellness, smart homes and cities, energy management, refrigeration, retail and public services. The survey ranked "risk to growth" as the most worrying consequence of failing to manage devices, followed by "risk to revenue" and "risk to brand".

This may be one of the reasons why some of the ambitious predictions for IoT devices have not yet been borne out, according to DevicePilot. While 12% of respondents had deployed a million or more devices in the field, 82% had deployed only 1,000 devices or less. However, respondents to the Device Management Survey expect these numbers to grow, with 70% of companies predicting an eventual market size of at least millions of devices and 20% predicting that they will reach the billions level.

“It is clear that most IoT companies are currently managing their connected products manually or by a mixture of manual and automatic processes,” said Pilgrim Beart, CEO at DevicePilot. “But as projects move from pilot to deployment at scale, the time and operational cost of manually logging-in to each device to perform an upgrade or check if it is working becomes a major barrier. Automatic asset management, monitoring and lifetime support are essential for the long term success of the IoT.”

Summary of key survey findings:

■ 61% of companies anticipate 10x growth over the coming year

■ 70% estimate their addressable market to be in the millions of devices - and 9% in the billions

■ The most common business model is a combination of up-front fee plus ongoing service fee

■ Only 18% of companies describe their device management as “highly automated and slick”

■ The biggest perceived risk of not managing devices well is risk to the growth of the company

■ 86% of companies say that as far as managing devices is concerned, they’re either already in trouble, or expect to be within 12 months

Cees Links, veteran of the world of connected devices and currently CEO of GreenPeak Technologies commented, "It sometimes surprises me how many device companies don't even know how many of their devices have been deployed, let alone how many are working. As the IoT matures, users' expectations of service quality are rapidly increasing, and you really have to keep on top of this stuff. When it comes to the smart home we expect all devices to be connected and providing useful information for owners and manufacturers on usage, diagnostics, need for refurbishment and replacement."

"The answer to device management is automation,” added Chris Wright, CTO of Moixa, a business deploying a solar energy storage product. “We need to be connected for multiple reasons including remote management, demand response and performance reporting; and if the product isn’t working or has lost connection, then we can’t bill.”

Pete Goldin is Editor and Publisher of APMdigest

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Device Management Presents Barrier to IoT at Scale

Pete Goldin
Editor and Publisher
APMdigest

Management of thousands or millions of Internet connected devices is posing a major obstacle to the success of the Internet of Things (IoT), according to DevicePilot (previously 1248).

These concerns are reflected in DevicePilot's survey of 50 companies planning to deploy IoT applications at scale across different industry sectors including environmental and industrial monitoring, elderly care/wellness, smart homes and cities, energy management, refrigeration, retail and public services. The survey ranked "risk to growth" as the most worrying consequence of failing to manage devices, followed by "risk to revenue" and "risk to brand".

This may be one of the reasons why some of the ambitious predictions for IoT devices have not yet been borne out, according to DevicePilot. While 12% of respondents had deployed a million or more devices in the field, 82% had deployed only 1,000 devices or less. However, respondents to the Device Management Survey expect these numbers to grow, with 70% of companies predicting an eventual market size of at least millions of devices and 20% predicting that they will reach the billions level.

“It is clear that most IoT companies are currently managing their connected products manually or by a mixture of manual and automatic processes,” said Pilgrim Beart, CEO at DevicePilot. “But as projects move from pilot to deployment at scale, the time and operational cost of manually logging-in to each device to perform an upgrade or check if it is working becomes a major barrier. Automatic asset management, monitoring and lifetime support are essential for the long term success of the IoT.”

Summary of key survey findings:

■ 61% of companies anticipate 10x growth over the coming year

■ 70% estimate their addressable market to be in the millions of devices - and 9% in the billions

■ The most common business model is a combination of up-front fee plus ongoing service fee

■ Only 18% of companies describe their device management as “highly automated and slick”

■ The biggest perceived risk of not managing devices well is risk to the growth of the company

■ 86% of companies say that as far as managing devices is concerned, they’re either already in trouble, or expect to be within 12 months

Cees Links, veteran of the world of connected devices and currently CEO of GreenPeak Technologies commented, "It sometimes surprises me how many device companies don't even know how many of their devices have been deployed, let alone how many are working. As the IoT matures, users' expectations of service quality are rapidly increasing, and you really have to keep on top of this stuff. When it comes to the smart home we expect all devices to be connected and providing useful information for owners and manufacturers on usage, diagnostics, need for refurbishment and replacement."

"The answer to device management is automation,” added Chris Wright, CTO of Moixa, a business deploying a solar energy storage product. “We need to be connected for multiple reasons including remote management, demand response and performance reporting; and if the product isn’t working or has lost connection, then we can’t bill.”

Pete Goldin is Editor and Publisher of APMdigest

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

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