Many manufacturers realize that in order to survive, they will need to look into how they can adapt to remain relevant in the future and this includes keeping an eye on manufacturing trends. Some of our fenestration customers are already early adapters, taking advantage of the internet of things (IoT) by setting up automation solutions, using 3D design data and seamlessly transferring this to their CNC, milling and saw machines.  Scheduling solutions that make it possible to manage multiple factories from anywhere in the world, assigning shifts to employees in various geographic locations and departments and avoiding schedule conflicts, then of course introducing or updating their software to help manage and collaborate in big data.

Looking at robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology, IoT, fourth and soon fifth-generation wireless technologies (5G), 3D printing and beyond – opportunities for the manufacturing environment even today are numerous. In our Industry 5.0 article we discussed how moving from 4IR into Industry 5.0 would not be so much about introducing new technologies, but rather building on and improving existing technologies with a focus on more connectivity, more capability and better processing.

So, in a recent article on manufacturing trends in 2020 written by Antony Bourne for, he discusses the technologies and strategies that will have the greatest impact on manufacturing in the coming year. Bourne suggests the following three technologies will establish themselves as the core of new business models, changing the nature of industrial manufacturing and giving way to new revenue streams:

#1: 5G Will Have More Machine than Human Customers


By the end of 2020 there will be more manufacturing devices connected by 5G than there will be people on 5G networks. Bernard Marr, points out in his post here, the tremendous impact 5G will have when it comes to enabling other technologies. Streaming music, TV shows and movies in an uninterrupted way via mobile devices will indeed be easier and more affordable with 5G. But 5G will be more transformational for devices that drive automated industrial processes.

“These advancements will enable connected cars and autonomous driving,” Marr writes. “Smart cities with connected logistics, transport, and infrastructure; enhancement in connected healthcare from robotics to blockchain use cases to wearable telemetry; industrial internet of things and smart factories; and the more extended use of augmented reality, virtual reality and mixed reality.”

The prediction is that that 5G will make its greatest impact in industrial automation. The ultra-low-latency, ubiquitous connectivity will power sensors on industrial machines, enabling them to talk to each other and generate floods of data that, through machine learning, will unlock new cost savings and efficiency. China and South Korea are already working in this way and the U.S. and the UK are likely to spend much of the coming year ensuring they don’t get left behind.

Improved communications between machines due to 5G will not just lead to increased efficiency, but the ability to automate more complex manufacturing models, including configure-to-order and make-to-order. Levels of automation formerly associated only with long-run, repetitive manufacturing will now be able, thanks to the high speed of 5G, to automate multi-variate production runs that may result in custom products, regional mass customization or highly-configured products, all with less human involvement than is currently the case.

#2: The B2B2C Model will Compete More Earnestly with B2C

B2B2CThe movement of manufacturers from their traditional perch at the far end of the value chain toward the consumer is underpinned by the global trend of servitization, product-oriented companies either adding services to their products or selling their products as services on a subscription basis.

As early as 2018, data suggests that 62 percent of manufacturers were already benefiting from aftermarket revenue—be it through parts, warranty or proactive service contracting. A full 16 percent of respondents were offering maintenance contracts with specific service-level agreements (SLAs), but only four percent of manufacturers offered products entirely as a service – full servitization.

What this means is even if a manufacturer is selling the product through a channel of distribution, they may be supporting or servicing that product directly over its lifecycle. The manufacturer is suddenly a business-to-business-to-consumer company. They now have a service relationship that will drive much of their revenue, and they may be responsible for delivering an outcome rather than just the product.

Customer experience will improve as the business-to-business-to-consumer model takes hold because there will be more direct communication between the manufacturer and the end consumer. This model will also benefit the environment as the number of items being built and resources going into them matches the requirements for a task, rather than the whims of a consumer.

#3: More than Half of Manufacturers will have Invested in AI


We’ve been working with clients to combine machine learning applications with multiple large data sets, and using them to identify patterns and strategies. Most manufacturers already employ some level of automation. And while automation streamlines processes, AI will be able to create new processes. So a company can predict quality problems before they happen, or create new AI-driven strategies specific to individual customers’ tastes.

Another area that will continue to develop over the coming years is AI-powered demand planning and forecasting. As AIs are trained on the right data sets, manufacturers will be able to align their supply chain with demand projections to get insights that were previously unimaginable.

This in turn brings about a new mindset of the manufacturer, who is likely to only consider the manufacturing process as beginning in the factory and finishing when the goods leave the warehouse. Just-in-time, the Toyota Production System concept, will be taken to new heights, in large part because AI allows a manufacturer to ask, “in time for what, exactly?”. What is the event or combination of events that should trigger replenishment—a demand signal, a price drop in the component part or raw material—it could be anything, and the relationship may not be apparent without AI.

In an IFS November 2019 study, 40 percent of manufacturers said they were planning to implement AI for inventory planning and logistics, followed by production scheduling and customer relationship management, each at 36 percent. A majority of 60 percent of total respondents said they were targeting productivity improvements with these investments.

After decades of incremental productivity growth, the result of lean initiatives, automation and stern discipline, manufacturers will use technology not to optimize, but to create. AI will let us create new ways of doing things, and that means new revenue.


So, looking forward to manufacturing trends in 2020 and beyond, what plans do you have in place to ensure your business is still relevant, able to compete with your competitors and most importantly turning over a profit?

If you would like to discuss what solutions would be the best fit for your business, get in touch with our team via the link below: