11 Mar 2020 - LONDON, UK :5G and edge computing constitute a technological leap that heralds a significant transformation of business models for all industries, including manufacturing and associated Industry 4.0 verticals. The market for 5G cellular connections in manufacturing is expected to reach US$10.8 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 187%, finds global tech market advisory firm, ABI Research.

“But, to capture the value at stake, ecosystem stakeholders will first need to evaluate how to measure the impact of 5G and edge deployments,” says Don Alusha, Senior Analyst at ABI Research. The current Industry 4.0 digitalization discourse centers around conventional financial metrics (e.g., return on investment, net profit, and cash flow) as the yardstick to measure 5G and edge computing effectiveness.

But these metrics are financial measurements to gauge profit and do not lend themselves to the factory floor. “Therefore, Industry 4.0 ecosystem entities must consider an alternative set of measurements that look at how 5G and edge deployments aid manufacturing establish operational rules to run a plant. They are throughput, inventory and operational expense for the incoming flow of capital, for capital located inside, and for capital going out, respectively,” Alusha explains.

These three measurements enable Industry 4.0 partners (e.g., ABB, Bosch, Siemens) to institute a direct connection between the 5G’s utility and what takes place on the factory floor. In turn, they will be able to use that connection to find a logical relationship between daily plant operations and the overall company’s performance. Only then, will Industry 4.0 verticals have a basis for knowing the real benefit of 5G and edge computing. “Furthermore, equally important is the ability to measure risk when looking to adopt 5G and edge technology assets. Discussions on new technology adoption have always been based on an assessment of risk and reward. If the reward is truly compelling, adopters will take the risk. 5G and edge offer unprecedented commercial opportunities, but they inherently constitute new technologies and therefore there is a risk attached,” says Alusha.

Continued attempts to keep up productivity growth, increase process automation to meet changing client demands, and the need to establish a reliable supply-chaining that spans multiple geographies are forcing manufacturers to be more flexible.

According to Alusha, “To understand the importance of supply chaining and its significance in terms of competitive advantage, one need not go any further than Wal-Mart. Wal-Mart is the largest retailer in the world (Amazon being second) and it does not produce a single item. All it “makes” is a hyper-efficient supply chain.” The capacity, reliability, high-quality service, and speed provided by 5G and a hyperconverged edge compute can optimize operations for a super-efficient supply chain.

With greater reliability and data speeds that will surpass those of 4G networks, a combination of 5G and local edge compute will pave the way for new business value. Commercial benefits will accrue along three broad aspects: agility and process optimization; better and more efficient quality assurance and productivity improvement. “The implications for solution providers such as Ericsson, Huawei, Nokia and ZTE are that they must enhance their “value add” by complementing their deep technical expertise with business expertise including vertical industry knowledge, new functional expertise (sales, marketing, and accounting) and solution design and consulting expertise tailored at niche use cases,” Alusha concludes.

These findings are from ABI Research’s 5G and Edge Networks in Manufacturing application analysis report. This report is part of the company’s 5G Core & Edge Networks research service, which includes research, data, and ABI Insights. Based on extensive primary interviews, Application Analysis reports present in-depth analysis on key market trends and factors for a specific application, which could focus on an individual market or geography.