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December 5, 2025 · The Bloomfield Team

The State of Manufacturing Technology: 2025 in Review

Manufacturing technology spending in the United States reached an estimated $14.2 billion in 2025, up 11% from 2024. The number is growing. The question worth asking is where the money went and whether it produced results.

We tracked technology adoption patterns across small and mid-size manufacturers throughout the year. The picture that emerges is an industry at an inflection point: AI adoption is accelerating but remains concentrated in specific use cases, ERP modernization has largely stalled, and the biggest gains came from connecting existing systems rather than replacing them.

For a deeper look at how these ideas connect across the shop floor, see our complete guide to AI in manufacturing.

AI Adoption: Fast Growth From a Low Base

Approximately 22% of U.S. manufacturers with fewer than 500 employees reported using AI tools in some form by the end of 2025, according to industry survey data compiled from NAM, Deloitte, and internal research. That represents a near-doubling from roughly 12% at the end of 2024.

The most common AI use cases among these manufacturers, in order of adoption: quoting and estimating assistance, predictive maintenance, quality inspection, and customer communication. Quoting automation grew fastest, driven by the availability of tools that work with existing ERP data and the direct revenue impact of faster quote turnaround.

The 78% that have not adopted AI tools cite three consistent barriers: uncertainty about where to start, concern about data readiness, and difficulty building a business case for leadership approval. These are solvable problems, but they require a different approach than what most technology vendors offer.

ERP Modernization Has Stalled

The percentage of manufacturers running ERP systems more than ten years old held steady at approximately 43% in 2025, virtually unchanged from 2024. Full ERP replacements remain expensive, disruptive, and risky. The average mid-market ERP implementation takes 14 to 21 months and costs between $500,000 and $2 million for a 50 to 200 person manufacturer.

What changed in 2025 is how shops think about their ERP. More manufacturers began treating the ERP as a data source rather than an application platform, extracting data from legacy systems and feeding it into purpose-built tools for specific workflows like quoting, scheduling, or quality management. This approach, which we call getting value from your ERP without replacing it, avoids the risk and cost of migration while delivering measurable improvements in specific areas.

The Rise of Connected Systems

The technology investments that delivered the clearest ROI in 2025 shared a common pattern: they connected existing data sources rather than introducing new ones. Manufacturers that linked their ERP to their quoting process saw quote turnaround improve by 40 to 65%. Shops that connected machine monitoring to scheduling reduced idle time by 12 to 18%. Operations that bridged their quality system to their ERP cut the time spent on customer-required reporting by 60 to 75%.

The lesson from 2025 is that most manufacturers do not have a data problem. They have a connectivity problem. The information needed to make faster, better decisions already exists inside the operation. It sits in separate systems that were never designed to talk to each other.

Workforce and Technology Intersection

The manufacturing workforce continued to age in 2025. The median age of a manufacturing production worker in the U.S. is now 44.1 years. An estimated 2.1 million manufacturing positions could go unfilled by 2030 based on current retirement and recruitment trends.

Shops that invested in technology to capture and transfer knowledge reported measurably better retention of institutional expertise during employee transitions. The specific approaches that worked included structured documentation of tribal knowledge, AI-assisted training tools that accelerate new operator onboarding, and systems that make experienced workers' decision-making patterns available to newer team members.

What 2025 Tells Us About 2026

Three patterns from this year will accelerate in the next.

AI adoption will continue climbing, but the winners will be specific, workflow-targeted tools rather than general-purpose platforms. The manufacturers getting value from AI today are the ones that applied it to a defined process with measurable outcomes, typically quoting, scheduling, or quality, rather than trying to implement a broad "AI strategy."

ERP replacement cycles will continue lengthening while the ecosystem of tools that sit on top of or alongside legacy ERPs will grow. The pragmatic path forward for most shops is integration, not replacement.

Knowledge management will move from a "nice to have" to a survival requirement as the retirement curve steepens. The shops that built these systems in 2025 will have a compounding advantage as their competitors face the same workforce challenges without the infrastructure to manage them.

The technology is available. The business case is clear. The manufacturers that move first will set the pace for the next decade.