The LNS Research Industrial AI: Advanced Analytics 2025 Guidebook provides a clear and current view of one of the fastest evolving technology categories in Industrial Transformation (IX). Industrial AI, enabled by machine learning, physics based modeling, and emerging agentic intelligence, is rapidly reshaping traditional analytics and expanding into enterprise level Decision Intelligence across assets, processes, material flow, energy, safety, and supply networks. With aging infrastructure and rising operational demands, manufacturers are accelerating investment in AI initiatives that fundamentally shift their architectures and ways of working.

This guidebook defines Industrial AI, outlines its distinction from Advanced Industrial Analytics, and positions both within the LNS Industrial AI Capability Stack. It examines how analytical and agentic layers such as chatbots, copilots, and autonomous agents are transforming how industrial data is contextualized and acted upon. The guide also maps the fragmented Industrial AI landscape, with this edition focused on two tightly related segments: Advanced Analytics Applications and Industrial Data Platforms. Vendors were selected based on strict technical criteria, industrial relevance, and demonstrated presence across manufacturing environments.

The analysis covers:

• The shift from descriptive and predictive analytics to agentic, self learning Decision Intelligence

• How vendors combine connectivity, conditioning, and contextualization with analytics, generative AI, and automation capabilities

• Key differences between Advanced Analytics providers and Data Platform vendors in addressing use cases at scale

• The growing importance of multimodal interactions, low code and no code development, and closed loop performance management

• How market fragmentation is shaping buyer expectations around architecture fit, persona based usability, and enterprise wide insight delivery

   

Using our 3P Evaluation Model, which assesses Product, Potential, and Presence, the guidebook evaluates seven leading Advanced Analytics vendors. Each vendor is analyzed against the LNS Research Industrial AI Capability Stack, offering a structured and comparative view of Decision Intelligence maturity, analytics depth, data engineering capabilities, and market traction.

The report concludes with practical guidance for manufacturers pursuing AI enabled transformation. Manufacturers are encouraged to align Industrial AI with enterprise IX strategies, balance data engineering with analytics advancement, adopt a persona based deployment strategy, avoid the shiny object syndrome, and select vendors whose strengths, financial stability, and architectures align with long term operational requirements.

For detailed vendor profiles, scoring matrices, and market fit grids, refer to the full Industrial AI: Advanced Analytics SSM Vendor Compendium 2025, available to members in the LNS Research Member Library.