According to IHS Automotive forecasts, 55% of annual global new vehicle sales in 2020 will be vehicles that are connected - and at that time, nearly half of the global fleet of vehicles in operation will be connected. Going beyond this to look at the big picture the new IDTechEx report Internet of Things (IoT) 2017-2027 will assist investors, participants and intending participants and users. The report is mostly in the form of easily assimilated infograms, roadmaps and forecasts. The report is about nodes that sense, learn, gather data and initiate reports and action using IP addressed sensor nodes to process and send information. It is realistic and analytical not evangelical. Consequently our forecasts do not repeat the mantra about tens of billions of nodes being deployed in only a few years. The many analysts sticking to such euphoria ignore the fact that, contrary to their expectation, very little IoT was deployed in 2016. They are "bubble pushing" with their forecasts, predicting ever steeper take-off to the point of physical impossibility. That is a triumph of hope over reality.
However, our ongoing global travel, interviews, conferences and research by our multi-lingual PhD level analysts located across the world does lead us to believe that a large market will eventually emerge but not primarily for nodes, where our price sensitivity analysis and experimentation shows commoditisation rapidly arriving. Indeed, as Cisco correctly notes, it is a pre-requisite for success. The money will lie in the systems, software and support examined in this study though we also look closely at node design to reveal all the impediments to progress as well as the things coming right and the potential for enhanced functionality and payback. For example, the ongoing major breaches of internet security with small connected devices sit awkwardly with system and software manufacturers' claims year after year that they have cracked the problem.
The most primitive IoT nodes have an actuator and no sensor as with connected Raspberry Pi single board computers retrofitted to air conditioning for remote operation. We have talked to the CEO of Raspberry Pi, to systems and node suppliers, academics and many others and assessed their replies.
IoT centres around things collaborating for the benefit of humans without human intervention at the time. It does not include the Internet of People External Link which is a renaming of the world of connected personal electronics operated by humans: it has completely different characteristics and it is cynical to conflate it with IoT. Nevertheless, we show how IoT nodes can be on people and quantify the appropriate part of wearables market because is relevant. The report explains further with a host of examples and options, even giving forecasts for agricultural robots following several respondents seeing agriculture as an important potential IoT market. Because we run our own IoT events, we get the inside track first.
As IoT moves to higher volumes - billions rather than millions yearly - the nodes will typically not be hard wired: wireless nodes will have battery power and increasingly energy harvesting (EH) on-board because it will be impractical to change batteries. We consider the unsolved problem of suitable EH and the possibilities for solving it.
The largest potential applications will be multi-sensor so, for many reasons, component count will increase making cost reduction more difficult. We look at expenditure on IoT enabling technology which currently runs to billions of dollars yearly, mainly coming from governments and aspiring suppliers. However, we reveal how most of those reporting these and other IoT figures are puffing their data with things that may never be a part of the IoT scene such as sensor research in general.
Expenditure on buying and installing actual IoT networks is much more modest, contrary to heroic forecasts made by most analysts and manufacturers in the past. IDTechEx was disbelieving about this for the last four years yet even our node forecasts have now been reduced in the light of what has happened, though our systems figures have been increased. It adds up to nearly $20 billion on development of IOT in 2017 but very little on actual systems. For example, cyber defense so our bus truck or car and even our household gadgets cannot be turned against us. More scalable and intelligent IoT systems with the nodes often having more sensors and multi-mode signalling are also being developed and the money being invested by the governments and companies of the world such as GE run to tens of billions of dollars in total. Later, the systems, software, facilities management and other expenditure beyond nodes and R&D will be huge. By contrast, nodes will tumble in cost. See the number and dollar breakdown by application. Learn which players do what.
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