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Mid-Way Journey of IoT in 2017 – Key Trends Tracked!

IoT Trends

Many of the technologies that were in trend previous years, still they are supposed to take great shape this year too. It seems that there will be more buzz around artificial intelligence and machine learning, tech experts are still tinkering away with various IoT applications, developing smart offices and homes that are connected with network climate controls, appliances and utilities to improve energy consumption and security.

Some of IoT products have already gained momentum in the industry, Including home thermostats, door locks controlled form smartphones and smart refrigerators. These growing consumer solutions have drawn the real potential of global IoT technology. Whether it starting own IoT startup or adding IoT applications in the business, it is highly indispensable to pay attention towards some of the major trends getting shape in this year.

With large number of connectivity to internet, Security becomes more indispensable for the users as well as for service providers too.

Application developers, device manufacturers, operators, consumers, enterprise businesses, social media service providers and integrators all need follow the best practices to keep their data secure.

A multi-layered security structure is must for IoT, whether it for hardware or software/firmware.

A sequence of education, interoperability and decent design along with a proactive approach in designing security features is required to create better products and solutions.

Here, we have found 7 trends which will stay for rest of 2017:

1: The first key IoT trend for 2017 Low-Power Wide-Area Network LPWA(N) goes mainstream and is poised to support far more Internet of Things use cases.

Low-Power Wide-Area Network (LPWAN) technologies are in the unlicensed spectrum such as LoRa and Sigfox, to name just two.

IoT connectivity: non-cellular LPWAN will prove to be underestimated. Although unlicensed LPWAN technologies are small portion of all IoT cases and investments, but, certainly in the increasing number of countries where nationwide coverage exists and in the many large cities and regions where they are planned.

Adding more to that, LPWA(N) is becoming more mainstream as number of IoT use cases are increasing. LPWA market is underestimated and its growth is yet another IoT trend for 2017 as investments outside the Industrial Internet of Things will grow and companies will roll out low-risk pilots.

2: IoT security becomes a top IoT priority

If IoT security is not given more focus by the enterprises and providers, then it could be very serious issue.

As mentioned previously, security needs to be and will be part of every series IoT deployment discussion. It is applied on the both consumer-oriented and also for the industry. The world has seen how dangerous it could be, and sadly it is on the rise.

Furthermore, security measures are not enough contain it. When it comes to securing data or related technologies, personal data check requires more protection.

3: IoT regulation becomes a key priority

Think of GDPR, IoT security is coming onto the radar for regulators, which is yet another IoT trend as such.

Even if the FTC seems to go for a self-regulation approach we do indeed see and expect regulatory plans and intentions rising. It’s important to note that in the context of regulatory frameworks such as the GDPR and eRegulation, there are specific aspects which need to be tackled regarding the Internet of Things and its technologies.

4: Analytics and machine learning

A research firm, Ovum in fact offers several evolutions. One is the clear shift of the delivery of IoT data analytics to the point of data capture/aggregation or the edge. Indeed: the fog computing. It also said that this is an IoT trend for 2017 as such: the fast rise of fog computing.

A second evolution in the context of Big Data, analytics and machine learning is the rise of new tools for streaming data analytics, states Ovum. Both evolutions fit in a context of the enablement of leveraging IoT data to feed all sorts of artificial intelligence applications, including the feeding of machine-leaning engines.

5: The growth of as-a-service business models

The disruptive impact of the IoT will drive the growth of new as-a-service business models.

Most definitely yes. In fact, if you look at a large majority of Industrial Internet of Things cases, for example, one of the key digital transformation effects on a business model level is the move towards information-based business models and as-a-service models, making quite some large players develop entirely new services and shifting business models.

We definitely also agree that these ‘innovative business models will continue to evolve in many IoT verticals’, including as-a-service and event-based charging models.

6: The adoption of as-a-service IoT solutions

The growth of as-a-service-models in the Internet of Things solutions and deployment ‘stack’. By 2021, overall market revenues for IoT managed security services are expected to surpass $11 Billion. Just as the Internet of Things continues to drive evolutions towards as-a-service model, companies with Internet of Things projects will increasingly use platforms and solutions to enable them in an as-a-service approach. For example, Internet of Things security as a service is poised to grow fast.

7: IoT service providers will increasingly focus on a diversification regarding technologies 

Why? Customer needs become more diverse. This is definitely another IoT trend. As we see more complex and scalable IoT deployments this is an inevitable evolution. It happens on all levels. Although strictly not a service provider, Cisco for instance already supports several technologies for client projects. The same happens with service providers on other levels. Service providers will also focus more on developer outreach.


Vikas Kumar

I have a passion to learn new things. There are always possibilities for learning. Everything needs to be analyzed critically, and I believe to do it by creating a solid bond between a reader and writer. Whether, it is an article or news story, it should not be distorted and must be reported in a balanced way. I believe to stick to the ethics of journalism.

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