Device Management Presents Barrier to IoT at Scale
April 13, 2016

Pete Goldin
APMdigest

Share this

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.”

Share this

The Latest

June 26, 2017

Many organizations are struggling to resolve customer-impacting incidents quickly enough to preserve brand loyalty and revenue, according to PagerDuty's recent State of Digital Operations Report ...

June 23, 2017

"Become the Automator, Not the Automated." While it's a simple enough phrase, it speaks directly to how today's organizations and IT teams must innovate to remain competitive. A critical aspect of innovation is acknowledging the digital transformation of businesses. The move to digitalization enables organizations to more effectively unlock the power of information technology (IT) to fuel and accelerate business innovation. It is a competitive weapon and a survival imperative ...

June 22, 2017

Executives in the US and Europe now place broad trust in Artificial Intelligence (AI) and machine learning systems, designed to protect organizations from more dynamic pernicious cyber threats, according to Radware's 2017 Executive Application & Network Security Survey ....

June 21, 2017

While IT service management (ITSM) has too often been viewed by the industry as an area of reactive management with fading process efficiencies and legacy concerns, a new study by Enterprise Management Associates (EMA) reveals that, in many organizations, ITSM is becoming a hub of innovation ...

June 20, 2017

Cloud is quickly becoming the new normal. The challenge for organizations is that increased cloud usage means increased complexity, often leading to a kind of infrastructure "blind spot." So how do companies break the blind spot and get back on track? ...

June 19, 2017

Hybrid IT is becoming a standard enterprise model, but there’s no single playbook to get there, according to a new report by Dimension Data entitled The Success Factors for Managing Hybrid IT ...

June 16, 2017

Any mobile app developer will tell you that one of the greatest challenges in monetizing their apps through video ads isn't finding the right demand or knowing when to run the videos; it's figuring out how to present video ads without slowing down their apps ...

June 15, 2017

40 percent of UK retail websites experience downtime during seasonal peaks, according to a recent study by Cogeco Peer 1 ...

June 14, 2017

Predictive analytics is a popular ITOA technology that you can leverage to improve your business by leaps and bounds. Predictive analytics analyzes relationships among various data points to predict behavioral trends, growth opportunities and risks, which can add critical value to your business. Here are a few questions to help you decide if predictive analytics is right for your business ...

June 13, 2017

Many organizations are at a tipping point, as new technology demands are set to outstrip the skills supply, according to a new Global Digital Transformation Skills Study by Brocade ...