What’s Driving Packaging Automation Investment Right Now

TL;DR

• Packaging automation investment is being driven primarily by labor shortages, not just growth.
• The market is moving faster, but buying decisions are taking longer due to more stakeholders and scrutiny.
• Automation is not replacing workers; it’s filling roles companies can’t reliably staff.
• The cost of waiting is real and rarely accounted for in ROI models.
• Buyers are more informed than ever, but often struggle to translate specs into real-world applications.
• Successful investments prioritize operational transparency and system flexibility from the start.

Packaging operations are under more pressure than they were even a few years ago. Output expectations are rising, labor is harder to find and retain, and the cost of getting a capital investment wrong is high enough that most teams feel it before they even sign.

At the same time, the decisions that will define production capacity for the next three to five years are taking longer and attracting more scrutiny than ever before.

That tension is hard to ignore. As Viking Masek President and Chief Revenue Officer Bryan Lacy described it in the latest episode of the Wrapping Things Up podcast, “Everything in the market feels like it’s speeding up, but nobody is moving fast enough when it comes to decision making.”

That gap is where risk shows up, and where companies that act deliberately gain a meaningful edge.

How fast is the packaging automation market changing?

The pace of change in packaging automation has compressed dramatically. Technology, buyer expectations, and operational models that used to evolve across a decade are now shifting in as little as one to two years.

There’s no single cause. The convergence of COVID-related disruptions, rapid advances in robotics, and the evolving expectations of retail partners has created a market that looks and behaves very differently than it did even five years ago.

The result is a set of overlapping pressures that operations teams feel every day:

• Persistent labor shortages across secondary packaging roles.
• Advancements in robotics, vision systems, and machine-level intelligence.
• Faster product cycles and more demanding retail compliance requirements.
• Increasing pressure to demonstrate ROI on capital investments within compressed timelines.

Operations teams are absorbing all of this in real time. The challenge is that the decision-making infrastructure of approval chains, procurement processes, and financial modeling has not kept pace with the market itself.

What’s compelling investment decisions beyond “growth”?

Ask most companies what’s driving their automation investment, and they’ll say growth. That’s not wrong, but it’s also not the full picture. Increasingly, it’s not even the primary driver.

The deeper force is labor. Specifically, the structural inability to staff secondary packaging lines with people who can run increasingly complex systems.

For years, the industry compensated by adding headcount. That approach is breaking down for two compounding reasons:

• Experienced operators are retiring, taking decades of institutional knowledge with them. The tacit understanding of how equipment behaves, where it drifts, and how to recover it quickly walks out the door.
• Newer workers bring different strengths, but often less hands-on production experience. Training cycles take longer, error rates on complex lines are higher, and the patience for sometimes challenging physical environments is shorter compared to previous generations.

The resulting capability gap is not simply a hiring problem. It is a structural shift in what labor can reliably deliver in secondary packaging environments.

In this context, automation becomes less about maximizing efficiency from an already functioning operation and more about establishing baseline stability.

Does packaging automation actually replace workers?

The belief that automation eliminates jobs persists. It shapes how some companies approach the investment conversation. In most real-world implementations, that belief doesn’t match what actually happens.

Over time, the reality has proved different. Companies were not replacing people. They were trying to grow and could not hire fast enough to keep up.

What typically happens is labor reallocation, not reduction:

• Manual roles on automated lines are absorbed by machines.
• The people who were doing that work move into other constrained parts of the operation (quality, maintenance, material handling, and changeover support).
• Automation lowers per-unit operating costs, which creates the headroom for growth.
• Growth still requires people, just in different roles.

For most packaging operations, the workforce shift is not a threat to manage. It’s a structural relief valve for a labor market that is simply not supplying enough workers to run manual lines.

Why are packaging equipment buying decisions taking longer?

Buying packaging equipment has fundamentally changed. What used to be handled through direct relationships and handshake agreements now involves legal review, multi-department alignment, detailed contract language, and layers of financial sign-off.

This transition didn’t happen randomly. Bryan explains the industry moved this direction after too many loosely defined projects created misalignment on both sides. The industry’s response was to formalize everything in precise contracts with documented expectations.

That clarity has genuine value. Projects are more likely to deliver what was promised when expectations are written down. But, arguably, there’s been an overcorrection.

Decision cycles that once took weeks now stretch into months, sometimes quarters. Every additional stakeholder adds a review cycle. Every approval layer adds calendar time. And while the process has improved in quality, the time cost has increased significantly.

For buyers, the question is not how to shortcut the process. It’s how to compress the time between “we know we need this” and “we have it running.”

The hidden cost of delaying an automation investment

Most teams account for the cost of automation equipment. Fewer account for the cost of waiting. That asymmetry in how decisions get evaluated is one of the more common blind spots in capital planning.

Every month a decision is deferred carries a real financial cost:

• Lost throughput on constrained lines that can’t keep pace with demand.
• Continued inefficiency from manual processes that cost more per unit than automated equivalents.
• Deferred ROI that never compounds back since the payback clock doesn’t start until the line runs.
• Missed production windows that cannot be recovered, especially in seasonal or retailer-driven cycles.
• Recruitment and training costs that continue accumulating on manual lines that struggle to retain staff.

“The cost to not buy is significant.”

It is a straightforward observation, but one that rarely makes it into a formal business case. ROI models almost always compare the cost of the investment against projected returns. They rarely compare the cost of the investment against the cost of maintaining current operations for another 12 to 18 months.

Where are buyers better informed, and where are the blind spots?

Packaging automation equipment buyers today are more informed than ever. AI research tools, detailed vendor resources, and industry publications have created buyers who arrive at early conversations with significant background knowledge.

That is a genuine advantage. Informed buyers ask better questions, identify potential issues earlier, and are better positioned to evaluate vendor claims against independent benchmarks.

The challenge is the gap between knowing what a machine does on paper and understanding how it performs in a specific context:

• In your facility, with your floor layout and utility constraints.
• With your product mix, including variability in fill weight, bag format, and packaging material.
• Under your operational constraints including crew size, shift structure, changeover frequency, and maintenance capacity.

Spec sheets describe what a machine can do under controlled conditions. They don’t reflect what a machine will do in your environment. Addressing that gap requires a different kind of conversation, which is harder to have when teams arrive with highly prescriptive requirements documents built from research rather than dialogue.

“The most informed buyers are the ones who use their research to ask sharper questions, not to replace the conversation with a document.”

What should you prioritize in a packaging automation investment today?

Two priorities consistently separate successful automation projects from those that underdeliver.

1. Be fully transparent about your operation

The most effective projects start with openness about what is actually happening. That means being honest about throughput gaps, quality inconsistencies, labor instability, maintenance history, and operational limitations that might not show up in a formal requirements document.

“Find supplier partners that you can be wide open with about your challenges. When we can get a customer who’s open to being vulnerable with us to have a very normal, human discussion, that’s where Viking Masek thrives.”

That level of honesty allows the solution to be calibrated to the actual operation rather than an idealized version of it. It also surfaces issues early enough to address them in design rather than after installation.

2. Build for flexibility from the start

A packaging line built to optimize a current configuration, without capacity for changeover, SKU expansion, or format range, may be obsolete before it has generated positive ROI.

Consumer goods and food manufacturing are particularly exposed to this risk. A single retailer decision such as a new format requirement, a private-label program, or a promotional configuration can shift volume and product mix significantly with very little lead time.

Flexibility in format range, changeover speed, integration compatibility, and control system architecture should be treated as baseline requirements in any investment made today with a three-to-five-year horizon. The cost of building it in from the start is almost always lower than retrofitting it later.

Do the fundamentals still matter in a rapidly changing market?

The packaging automation market is changing faster than any static analysis can fully capture. Technology is advancing. Labor dynamics are shifting. Regulatory and contractual norms are evolving. No one can predict with confidence what any of this looks like in five years.

What produces successful outcomes across changing market conditions is consistent: open communication, documented expectations, and vendor relationships built on honest assessment of constraints rather than throughput claims and sales pressure.

These fundamentals have not changed. In an industry that is moving faster and carrying higher stakes, they matter more than ever.

For extended discussion, the Wrapping Things Up podcast covers these topics across episodes with industry guests and internal subject matter experts. Browse our resource library anytime, and subscribe to stay current on the conversations shaping packaging operations.

FAQ

What factors should companies evaluate before investing in packaging automation?

Companies should evaluate demand stability, product variability, and labor constraints first. These factors determine whether automation will deliver consistent ROI. Beyond that, teams should assess facility limitations, integration with existing systems, and long-term growth plans. The goal is to ensure the system can handle future changes without requiring major reinvestment or redesign.

How do you decide between packaging automation and outsourcing?

Choose automation when demand is stable and long-term volume justifies capital investment. Choose outsourcing when demand is uncertain, volumes fluctuate, or internal capabilities are limited. Many companies use a hybrid model with outsourcing during early growth stages, then transitioning to automation once demand becomes predictable. The right decision depends on how much control, flexibility, and financial risk the business is prepared to manage.

What are the most common mistakes in packaging automation projects?

The most common mistake is designing for current needs instead of future variability. Companies also underestimate integration complexity and over-rely on spec sheets instead of real-world testing. Another frequent issue is poor cross-functional alignment. Engineering, operations, and procurement teams aren’t always working from the same assumptions. These gaps often result in systems that meet technical specs but fail to perform efficiently in daily operations.

How long does it take to implement packaging automation?

Most packaging automation projects take several months to over a year from decision to full operation. Timelines depend on equipment complexity, customization, facility readiness, and supplier lead times. Delays often come from changing specifications, approval bottlenecks, or site preparation issues. Planning for installation, testing, and operator training early can significantly reduce the risk of timeline overruns.

Why is workforce training critical for automation success?

Workforce training ensures automation systems perform as intended in real production environments. Even advanced equipment depends on operators who can run, maintain, and troubleshoot it effectively. Without proper training, downtime increases and efficiency drops. Companies that involve operators early and invest in ongoing training typically see faster adoption, fewer disruptions, and better long-term performance from their automation investments.

How should companies calculate ROI for packaging automation?

ROI should include more than labor savings. Companies should factor in increased throughput, reduced waste, improved consistency, and the ability to meet demand reliably. Just as important is the cost of inaction, being lost production, inefficiencies, and missed opportunities while decisions are delayed. A complete ROI model compares both the benefits of automation and the ongoing cost of maintaining current processes.