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Industrial Software Growth: Proof Beyond Vendor Claims

Clarifying Vendor Roles, Deployment Readiness, and Scalable Growth

A successful industrial automation application can still carry significant integration costs, unclear ownership, and support requirements when deployed across additional sites. These challenges are placing greater emphasis on architecture transparency, implementation evidence, and the economics of scaling industrial software.

Frost & Sullivan’s whitepaper draws on nearly 100 discussions at ProveIt! Conference and Hannover Messe to examine vendor differences across the nine-layer New Industrial Tech Stack. It connects operational proof with architecture control, governance, partnership requirements, and five growth positions shaping commercial value.

[Download the Whitepaper

Industrial Automation and AI Proof Points

 
2–5x faster engineering deployment artificial intelligence (AI)-enabled code generation, operator screens, and diagnostics.
Up to 50% less configuration and documentation time Reduced engineering effort in a defined workflow.
2 minutes to 20 seconds Batch scanning demonstrating measurable traceability improvements.

Results reflect specific applications, not industry-wide productivity gains.

01

Strategic Priorities Shaping Vendor Evaluation

  • Architecture Ownership: Distinguishing vendor control points, dependencies, and customer responsibilities.
  • Deployment Credibility: Connecting plant-level performance with enterprise support and governance.
  • Commercial Scalability: Assessing whether subsequent deployments require less engineering and integration effort.
02

Key Strategic Questions This Whitepaper Answers

  1. Which architecture control points influence vendor differentiation and customer flexibility?
  2. What separates a successful plant application from an enterprise-ready solution?
  3. How do partnerships and deployment economics affect long-term commercial value?
03

Five Growth Positions Across the Industrial Tech Stack

  • Contextual Industrial Data: Reusable context reducing integration effort.
  • Governed Agentic Workflows: Accountable execution extending software value.
  • Software-defined Automation: Lifecycle services supporting selective modernization.
  • AI-enabled Engineering Tools: Faster application development and controlled deployment.
  • Operational Technology (OT) Trust and Governance: Validation and cybersecurity supporting production use.

Why Download?

 

Gain a clearer basis for vendor evaluation, investment prioritization, and market entry, with the second deployment providing a practical test of scalable industrial software value.