Digital Transformation in the Manufacturing Industry

According to Forbes, Fifty-seven percent cite “integrating all social, mobile, web, commerce, service efforts and investments to deliver an integrated, frictionless, and omnichannel customer experience” as a long term goal; fifty-four percent cite it as a short term one.

Today, IoT spending is dominated by the manufacturing sector.

IoT has the potential to move all three steps to a “continuous moment of truth”.

Artificial Intelligence will move from boardroom talk to adoption; from use only by large, tech-savvy corporations to enterprises of all sizes across industries; from use cases in limited scenarios like banking/ customer care to several business processes.

(1) Digitalization has given rise to very large, diverse data sets and an ever-accelerating accumulation of data (2) Rapid growth of computing capacity and decreasing prices enables the processing of large data sets by an increasing number of users (3) Evolution of new data-use algorithms.

Companies that produce office automation software are already investing big on adding to their portfolio trainable digital assistant technologies that are smart, predictive, have the capability to learn, and can quickly adapt to changing the environment.

Education is a never-ending and crucial industry that is gaining importance over a few years.

Right from the emergence of civilizations, grabbing knowledge has been the top priority by people all over the globe.

They are always looking for an effective strategy to transfer or gain knowledge from one another easily.

Thanks to the current market which has made this possible.

Virtual Reality is here to disrupt the educational sector.

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But as an IoT development company, we believe that it’s the Industrial Internet of Things or IIoT which has a much larger role in the progress of Industry 4.0.

In its essence, IoT can be simply considered as a technology which links all technologies together.

This entire network of devices is then easily controllable, and valuable information can be derived from such networks using Big Data Analytics and Machine Learning.

Our civilization will be using over 50 Billion IoT devices by the year 2020, and all of it will be worth $6.2 Trillion by 2025.

How to use IoT development for predictive maintenance

Before explaining how IoT helps in predictive maintenance, let’s first take a deeper dive and understand how an IoT development company creates an IoT ecosystem in the first place.

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As mobile technology advances further and further, companies’ reliance on them continues to increase as well. A diamond ring has been the hallmark of engagements and marriages since the De Beers mining company pushed the idea in the late 1930s and has remained as the pinnacle of affection ever since. On the business end, however, diamonds are among the most troublesome natural goods to deal in, simply due to the sheer variety of both the stones and jewelry they are set in.

With the use of modern technology, not only will it be easier to reach out to more people with your products, but the sale process, in general, will be more efficient and streamlined through the use of Augmented Reality (AR), Virtual Reality (VR), and the Internet of Things (IoT).

Internet of Things has had an extremely important impact on the way almost every industry runs today, irrespective of whether it’s an IT company or not.

And if the statistics from IDC and SAP are too believed, Industrial Internet of Things (IIoT) has had more than half of the global manufacturers use analytical data provided by IoT apps to help them better optimize themselves.

Therefore, IoT sensors play a huge role in monitoring such machinery and taking responsibility for alerting people if any equipment shows a reading off the chart.

It’s true for every field, including that of manufacturing.

If there’s too large a time gap between the problem and the adjustment that needs to be made, one could lose out on a lot of operational costs, while already having wasted quite a lot of time.

Maximize Market Research provides B2B and B2C market research on 20,000 high growth emerging technologies & opportunities in Chemical, Healthcare, Pharmaceuticals, Electronics & Communications, Internet of Things, Food and Beverages, Aerospace and Defence and other manufacturing sectors.

Global Internet of Things (IoT) Manufacturing Market is expected to reach up to US$ 390 Bn at CAGR of around 13% during forecast period.

Get exclusive free pdf sample copy of this report @ https://www.maximizemarketresearch.com/market-report/global-internet-things-iot-manufacturing-market/10392/ Maximize Market Research offers a latest report on “global Internet of Things (IoT) Manufacturing market analysis and forecast 2018-2026”.

This report intends to study the developments of the Internet of Things (IoT) Manufacturing Market in, including its development status, applicant profiles and future trends, along with focus on the top Key players in the market Internet of Things (IoT) Manufacturing industry research report delivers a close watch on leading competitors with strategic analysis, micro and macro market trend and scenarios, pricing analysis and a holistic overview of the market situations in the forecast period.

Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.

The numerical data is backed up by statistical tools such as swot analysis, bcg matrix, scot analysis, pestle analysis and so on.

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Looking at the current speech recognition landscape, the voice-activated home speakers like- Google Home, Amazon Echo, Apple HomePod, and many more due to join the list are favored by the consumers and they like to have them in the living room, kitchen, and bedroom.

Even, 20% of the user interactions on the smartphones will occur through virtual personal assistants, and the number will increase exponentially in the years to come.

The ideal pairing optimizes the IoT app functionality and enables the IoT app leads the charge by planting their flag in millions of consumers homes.

With the logical extension of IoT ecosystem, the user sitting in the living room can start the car, lock/unlock the doors, turn on the AC or adjust the temperature, search for the restaurant and send the address to vehicle’s navigation system, and pretty more, in a hands-free way.

When the commercial virtual assistant on smart speakers coupled with speech recognition software on smartphones, the results will be amazing.

In the case, you have to move out of the station, you have issued a command to HomePod to keep the devices turn off.