MCADCafe Industry Predictions for 2020 : ARAS

1. We’ll See More Digital Transformation Failures

With at least 60% failing in the new year, digital transformation efforts will continue to worsen. Gartner projects digital transformation initiatives will take large traditional enterprises twice as long and cost twice as much as anticipated in 2020. The vast majority will exceed their allocated budget by investing in tech-driven processes and will have little to show for their efforts. Many established manufacturers in heavy industries misjudge their technical debt—the funds set aside to manage legacy systems and technology stacks. They simply don’t know what is needed to streamline their product ecosystem.

Only with leadership, an adaptive organization and a resilient, modern technology platform architecture will manufacturers be able to overcome these challenges. Aras projects more agile organizations correctly leveraging open platform technologies will be first to market and disrupt the more entrenched market leaders—typically, these will be large manufacturers that are slower to adapt and adverse to change.

2. The Emergence of Digital Twins

The real value of PLM is connecting the entire product lifecycle, which means linking downstream operations, such as field services, with engineering. With industrial platform services underpinning many large manufacturers, they are poised to connect downstream processes with engineering and realize configured Digital Twins for each of their assets in the field. In the next year, we’ll see Fortune 100 companies investing heavily in Digital Twin initiatives to manage as-running assets, but more importantly, to derive value by driving new capabilities, upgrades, efficiencies and value.

3. PLM Expands

As we’ve already begun to see in the automotive industry, original equipment manufacturers (OEMs) are being forced to consider more partnerships to address expanded product offerings that include more integrated systems, greater personalization and more in-service changes. But the coordination of multiple disciplines, the growing need for simulation, dynamically changing supply chains and the need to manage as-running assets is driving an expansion of PLM.

Tags: Industry Predictions

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