REPORT: Agile Leaders Confront the AI Skills Gap Learn more

Smart Manufacturing 2026: CPQ a Core System for Complex Products

Two people in hard hats review data on a tablet in a high-tech industrial facility with virtual digital displays showing analytics, addressing the AI skills gap and monitoring machine performance metrics.

As Manufacturers Invest, Execution Is Becoming the Real Differentiator

Manufacturers of complex products are under mounting pressure to move faster, quote more accurately, and adapt to rising customer expectations, all while managing aging systems and ongoing geopolitical uncertainty. Over the past year, many organizations have responded by increasing software investment and accelerating technology adoption.

But as investment momentum builds, a more difficult question is emerging: are manufacturers truly ready to turn those investments into operational impact?

Configure One Cloud’s Smart Manufacturing 2026: Agile Leaders Confront the AI Skills Gap report explores this tension in depth, drawing on insights from more than 500 manufacturing leaders across the U.S. and DACH regions. The findings reveal a sector that is optimistic and ambitious, yet increasingly aware that technology adoption alone is not enough.

Software Investment Is Rising Alongside Expectations

The data is clear: manufacturers are spending more on software and digital tools than they were just a year ago.
For leaders, this reflects a broad recognition that digital transformation is no longer optional. Investments are being driven by goals such as improving productivity, accelerating growth, strengthening security, and enabling greater automation across the enterprise.
Yet the report also shows a critical counterbalance to this optimism.

Despite widespread plans to adopt AI-driven and cloud-based technologies, 36% of manufacturers say AI skills are their most urgent workforce need. In fact, this was the top response when leaders were asked where their teams are struggling most.

In other words, while budgets and ambition are increasing, workforce readiness is not keeping pace.
This mismatch is becoming a defining challenge for manufacturers of complex products, where technology adoption often touches quoting, engineering, production, and downstream fulfillment all at once. Without the right skills and systems in place, even well-funded initiatives risk stalling before they deliver value.

Smart Manufacturing Report Winter 2026

Get your copy of the Smart Manufacturing 2026 report to learn how manufacturing leaders are confronting the AI skills gap, integration complexities, and other operational challenges. Download today!

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AI Integration and Skills Remain Bottlenecks

AI and automation are no longer fringe technologies in manufacturing. In fact, 100% of surveyed manufacturers report using AI in some capacity today. However, scale remains more limited:

What’s holding manufacturers back is not interest, but execution.
Across the broader technology stack, leaders cite familiar obstacles:
These challenges are especially pronounced for manufacturers managing complex, engineer-to-order products where inconsistent product data, disconnected systems, and manual processes compound risk and slow decision-making.

Where CPQ Fits into the Broader Transformation Story

Against this backdrop, CPQ (Configure, Price, Quote) software has emerged as a critical area of investment. It has quietly become the system that holds modern manufacturing workflows together, especially for complex, engineer‑to‑order products.
Our report shows that manufacturers are using CPQ to directly address some of their most persistent operational challenges:
For organizations selling complex products, CPQ often sits at the intersection of sales, engineering, and manufacturing. When it works well, it reduces quoting cycle times, minimizes errors, and improves coordination across teams. When it doesn’t, it quickly exposes deeper issues with data quality and system integration.
Manufacturers are prioritizing CPQ capabilities that reduce friction and manual effort, including:

Cloud-based CPQ platforms are also gaining traction for their ability to support faster deployment, collaboration, and real-time data access. These benefits of CPQ are essential for organizations operating in dynamic, high-variability environments.

The Real Challenge: Making CPQ Work Across the Enterprise

Despite widespread adoption, CPQ implementation is not without obstacles.
Manufacturers report that their top CPQ-specific challenge is integration with existing systems (32%). This is understandable: CPQ, by its nature, depends on accurate product data and seamless system connectivity. Without integration, organizations risk recreating the same silos and manual handoffs they were trying to eliminate.
When CPQ is implemented effectively, however, the payoff is clear. Manufacturers report benefits such as:
For operations leaders, the takeaway is not simply to adopt CPQ, but rather to treat it as part of a broader digital foundation that includes data governance, integration planning, and workforce enablement.

What Manufacturing Leaders Should Take Away

The Smart Manufacturing 2026 findings point to a pivotal moment for manufacturers of complex products.
Technology investment is accelerating. Adoption plans are ambitious. But the organizations that will pull ahead are those that balance speed with readiness. They will not only invest in new tools, but also in the skills, data, and integration strategies required to make those tools work.
Manufacturers that address skills gaps, modernize integration approaches, and embrace CPQ will be better positioned to turn technology investment into measurable operational gains.

Smart Manufacturing Report Winter 2026

Get your copy of the Smart Manufacturing 2026 report to learn how manufacturing leaders are confronting the AI skills gap, integration complexities, and other operational challenges. Download today!

A booklet titled Smart Manufacturing 2026: Agile Leaders Confront the AI Skills Gap is displayed, with its cover and inner pages showing text and graphics.

About the Research

Smart Manufacturing 2026: Agile Leaders Confront the AI Skills Gap is based on a survey of 500 CPQ, PLM, and engineering software decision-makers at manufacturing companies with 100+ employees in the United States and DACH regions.

About Configure One Cloud

With more than 20 years of complex manufacturing industry expertise, Configure One Cloud from Revalize is your trusted Configure, Price, Quote (CPQ) software partner to accelerate sales cycles, streamline processes, and drive digital transformation. Where complexity meets simplicity.