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Why are American Machinery Manufacturers Ignoring IoT & Industry 4.0?

American manufacturers of capital equipment may be quickly falling behind in critical industry 4.0 and IoT development. That could cripple them long term.

Maybe not ignoring....but not embracing

In a recent BCG Perspectives piece, Boston Consulting Groups advanced manufacturing team took a look at statistics around relative adoption of Industry 4.0 or IoT (Internet of Things) technology.

The numbers were startling. While US manufacturers trail their German counterparts by a small margin at the high end of the market with early, robust adopters, the story is dramatically different at lower levels. US companies dramatically trail German manufacturers.

Highlights (or "low-lights" as the case may be) included:

  • 50% fewer American companies "have applied, or plan to apply (within the next 1-2 years), digital factory logistics or predictive maintenance"
  • 14% more German companies associate IoT with increased productivity and cost reduction
  • 7% more German companies associate it with revenue growth
  • 225% more US companies are "not yet prepared"
  • 162% more German companies have "developed first concepts"

In case you're wondering if this is comparing the Siemens vs. GE technology behemoths...the answer is no. This is companies like yours. BCG surveyed 312 German and 315 US manufacturers with revenues of more than USD $50 million. This is the heart of the Middle Market manufacturing sector that, according to D&B and American Express research, represent less than 1% of US firms yet contribute nearly 1/3 of all employment and more than 25% of revenues.

In other words this sector is vital to US economic vitality.

Data vs. machinery

Before diving into the consequences, let's take a quick diversion. Mindset around IoT may be key factor.

Companies tend to think of IoT in one of two different ways. It's either
machinery.....that has sensors that collect and send data
or
vehicles for data collection and optimization....which also perform industrial manufacturing functions.

That's a critical difference. One can easily see how the perspective that's embraced by a company's senior management team will influence R&D and product roadmap.

It also mirrors the evolution of Industry 4.0. Originally machinery began to capture more information and interact with central controls and nearby machines. Increasingly however, the power is recognized to lie in the data. For some companies that means work cells, factories or even across locations. For some manufacturers that means incredible insight accumulated through the aggregation of anonymous data from thousands of installations.

Companies that make that mind shift - even mid size ones - will ride the IoT opportunity. They needn't develop the OS for instance (players like @GE_Digital already have that underway) but they will understand how they add value and proactively create it.

In contrast, companies that don't make the mind shift - even large ones - will decay as the inherent value of machinery declines relative to the entire Industry 4.0 ecosystem.

Development vs. decay - a dangerous cycle

But let's say an American capital equipment manufacturer is a bit skeptical - not resistant, but not sure how much R&D emphasis they should put on IoT. After all, their American manufacturing customers aren't clamoring for these solutions yet.

The problem is that when they suddenly do...when IoT becomes a boardroom buzzword and suddenly VPs of manufacturing & operations get the memo that 12 months hence they need gleaming Industry 4.0 facilities...then the US manufacturers will lose to import competition.

And that loss will be significant because it means more than a lost machine - it impacts lifetime value from future machine sales (one brand loyalty & operational/maintenance familiarity are developed), lost replacement parts business, and lost references.

And it's not just US business. As multinationals harmonize their systems globally, potentially even establishing common protocols for suppliers, the implications expand significantly.

Once a company has relegated itself to the role of bending and welding steel vs. building value creating machinery, the decay will likely be irreversible.

Vulnerable giants overtaken by nimble players

This will offer some great case studies in creative destruction as staid industry stalwarts will fail to see and embrace the magnitude of the IoT challenge. That failure, however, will present an enormous opportunity to agile challengers.

There's probably been no better time in the past 50 years for a capital equipment manufacturer to position itself for an enormous market share grab.

Those relying on brand and tradition will falter.

However, those that build their roadmap around data and incorporate these capabilities into their strategy, will quickly leapfrog the others.

Which will you be?

In the meantime maybe you wish you had predictable, scalable growth to confidently finance IoT R&D. If so, check out our guide on the difference between complicated and complex markets to help frame your revenue growth planning.

free whitepaper complexity of revenue growth strategy

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KEY TAKEAWAYS
  • Most complex industrial purchases must clear five separate buying decisions.
  • Decisions 2 and 3 determine whether a purchase happens at all — and most reps don't know they exist.
  • Most big-ticket B2B industrial forecasts are fantasies because they ignore those decisions.
  • Buying teams typically include eight to twelve people.
  • Reps need business acumen — not just product knowledge — to engage decision-makers early.
Ed Marsh
Ed Marsh
Ed was going to be an architect because he loved the nexus of engineering and design. That was before was going to be an engineer; before he graduated from Johns Hopkins; before he was an Army Infantry Officer (Airborne Ranger); before he set B2B industrial sales records; before he was partners with a German capital equipment manufacturer; before he founded a distribution/rep company for industrial products in India; until he decided that managing a business and employees wasn’t what he enjoyed. Now that Ed’s got all of that out of his system he runs a consultancy that helps US manufacturing companies grow by applying process excellence to business development – completing the full circle back to an engineering & design combination. His practice is built on a unique methodology which combines powerful digital marketing methodologies (a HubSpot partner) with his extensive international biz dev experience.
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