IFS Unleashed 2026 was about AI doing the work within an appropriate governance structure that industrial customers can trust. IFS paired a clear launch with credible customer examples, pricing designed for broad use, and partnerships reaching toward engineering and operational data. Open questions remain, including how the Industrial AI Harness holds up at scale and what usage will cost, whether Siemens and AVEVA produce joint reference customers and what they mean for the PLM data model, and how partners adapt as AI compresses implementation efforts.

CIMdata believes that the next phase of engineering transformation will not be driven by AI alone, but by the convergence of AI, simulation, engineering knowledge, and digital engineering practices. Organizations that successfully combine these elements will be better positioned to improve productivity, accelerate innovation, and manage increasing product complexity. MathWorks’ AI strategy reflects many of these emerging industry requirements and provides a useful example of how AI can be integrated into engineering workflows while preserving the evidence, traceability, verification, and human review required for industrial product development.

In the PLM and SCM domains, Fusion Agentic Applications like the Design-to-Source Workspace and Product Readiness Workspace show practical, immediate value for manufacturers dealing with complex product launches and supply chain disruptions. The predictable per-seat pricing model, free tier for basic models, and included AI Unit allocations should help lower the barrier to entry for organizations looking to experiment with advanced AI. CIMdata recommends that industrial companies evaluating PLM and enterprise software platforms include Oracle in their assessment to understand how these outcome-driven agentic applications can optimize their business processes.

Manufacturers need increasingly sophisticated lifecycle capabilities, but SMBs face many of the same competitive pressures as large enterprises with significantly fewer engineering, IT, and administrative resources, more constrained budgets, and limited tolerance for implementation complexity.

A modern innovative PLM foundation must connect ideas, requirements, items, CAD data, EBOMs and MBOMs, configurations, changes, documents, projects, suppliers, and downstream enterprise applications as a governed digital thread.

Nora IPLM takes a modern, global approach based on cloud-native delivery, a relationship-rich product model, process and role-oriented cockpits, open integration, and embedded AI capabilities intended to improve analysis and decision support.

Growing manufacturers have historically faced an uncomfortable choice: accept the limitations and hidden costs of informal product development processes or attempt enterprise PLM implementations that their organizations are not resourced to sustain. Neither choice is a good one. CIMdata recommends that small- and mid-size manufacturers evaluating their approach to product data and process management take a look at Autodesk Fusion and Fusion Manage as a practical, scalable path to connected product development that is built for the realities of SMB manufacturing.

PTC announced an agreement to be acquired by Schneider Electric in an all-cash transaction valued at $22.6 billion. The transaction is expected to close by Q3 2027. CIMdata believes this acquisition is a positive, exciting development for PTC, Schneider Electric, their customers, as well as the overall PLM industry.

CIMdata was a guest of Dassault Systèmes at the Farnborough International Airshow on the 23rd of July. The global aerospace and defense industry is in transition, and a new value landscape is taking shape with blending of the virtual and real, advances in simulation, and explosive progression of AI agency. It is clear that Dassault Systèmes understands and has taken a leadership position in this generational transformation.

Keysight’s evolution from a test hardware and measurement–centric company toward a broader Design Engineering Software provider reflects a tectonic shift in how complex, electronics-driven products are now developed. Growing system complexity, tighter development cycles, and increasing coupling between electrical, mechanical, thermal, optical, and software domains are driving demand for model-centric, data-centric, and AI-augmented engineering workflows. Keysight Technologies is focused on increasingly differentiating its software solutions by the ability to intelligently connect engineering disciplines across EDA with multi-physics performance simulation including optical analysis and software quality engineering, with deep test and measurement expertise enabled by IP, data management, and AI.

Realize LIVE 2026 keynotes and sessions covered the breadth and depth of Siemens Xcelerator solution portfolio, from planning, design, simulation, manufacturing, supply chain, and of course, AI across discrete and process industries. The conference’s highlight was the announcement of Intelligence Center X—an agentic enterprise platform for AI model and application development across all industry segments. It supports the key factors needed for effective AI-driven product development and manufacturing applications, including intelligence, action, orchestration, context, and governance.

Transitioning to a configure-to-order business model, even if only for parts of a product line, has the potential to dramatically improve business performance especially as product complexity grows. Aras’s open, flexible, and relationship-rich data model provides a governed foundation for agentic AI today. CIMdata concludes that Aras’s strategy of pairing governed agentic AI with a flexible data model effectively addresses the technical debt that holds many manufacturers back. Aras provides a compelling path forward and should be included in enterprise evaluations for advanced PLM and variant management solutions.