Gartner’s top 10 IoT trends for 2019 and beyond

Gartner shares its key trends and technologies for the Internet of Things. Social issues and user experience are the most intriguing among them.

A critical look at Gartner’s top 10 IoT trends
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At Gartner’s Symposium/ITExpo in Barcelona, Spain, earlier this month, the research firm shared a report on 10 strategic trends affecting the Internet of Things (IoT) from 2019 to 2023. In the report, titled Top Strategic IoT Trends and Technologies Through 2023, according to multiple published reports, the firm identified the following as the 10 most impactful IoT trends:

  1. Artificial intelligence (AI) 
  2. Social, legal, and ethical IoT
  3. Infonomics and data broking
  4. The shift from intelligent edge to intelligent mesh
  5. IoT governance
  6. Sensor innovation
  7. Trusted hardware and operating shystems
  8. New IoT user experiences
  9. Innovation on the chip
  10. New wireless networking technologies for IoT

That’s an intriguing and comprehensive list, but not all the points come with of equal certainty or importance, and some — AI, wireless networking, edge computing and mesh computing — are already on the radar of many industry observers. So, let’s take a closer look at a couple of the most interesting and under-appreciated factors affecting the future of the IoT: social concerns and user experience.

Social issues will be pivotal in the world of IoT

For me, Gartner’s noting the importance of social, legal, and ethical IoT and IoT governance were perhaps the most unexpected. Research firms most often focus on hard numbers and core technologies, not squishier social issues. But I think Gartner is on to something here, especially when it comes to the IoT.

The IoT is a very broad-based technology, transforming everything from consumer devices to large-scale manufacturing and industrial applications. How these large-scale shifts are handled will go a long way toward determining the future of the technology. More to the point, perhaps, it’s not certain that the public — or the enterprise — is fully prepared for the IoT’s impact. As the IoT grows in importance — Gartner predicts the number of connected things in use will hit 14.2 billion in 2019, and grow to 25 billion by 2021 — increasing numbers of formerly human-run processes will be automated using devices and algorithms not easily understandable by the folks affected by them in areas such as data ownership, algorithmic bias, privacy, and regulatory compliance.

Nick Jones, research vice president at Gartner, said in a recent Gizbot article, "Successful deployment of an IoT solution demands that it's not just technically effective but also socially acceptable. CIOs must, therefore, educate themselves and their staff in this area, and consider forming groups, such as ethics councils, to review corporate strategy. CIOs should also consider having key algorithms and AI systems reviewed by external consultancies to identify potential bias."

That’s a really big deal, and it's a potentially huge burden for technologists who don’t often have to consider unintended consequences. But if the industry doesn’t step up, governments and regulatory agencies appear ready to step in. Gartner noted that as the IoT grows, governance frameworks will likely emerge to establish and enforce rules around the creation, storage, use, and deletion of information around IoT implementations. Those rules could range from regulating technical issues such as device audits and firmware updates to deeply complex questions around who controls IoT devices and the data they generate.

IoT and the user experience

The IoT is profoundly changing the way individuals and enterprises interact with technology. Just as important, the conventions for human/IoT interactions — usually without screens and keyboards — are still being established. How that plays out will go a long way toward determining the role IoT plays in both consumer and business applications.

Gartner pointed out that the IoT user experience (UX) comprises a wide variety of technologies and design interactions. How the IoT UX evolves depends on four key factors, Gartner said: new sensors, new algorithms, new experience architectures and context, and socially aware experiences. And so far, the track record for truly useful IoT devices and interfaces is decidedly mixed.

Despite the recent rise of voice-controlled digital assistants, it’s still too soon to know exactly what kinds of IoT user experience metaphors will gain traction and which will fall by the wayside. Notably, it’s not just a question of which approaches may be technically superior; it’s also about finding talented UX designers who have the vision and skills needed to create compelling, efficient, and fulfilling experiences in what is essentially a new medium — one that remains only partially defined.

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