Industrial AI: Data Platforms
Use the LNS Research Solution Selection Matrix™ to Create Your Shortlist of Industrial AI Platform Vendors
To support this, LNS Research has created the Industrial AI: Data Platforms Solution Selection Matrix™ (SSM), a comprehensive, research-backed guide that helps manufacturers understand, evaluate, and compare Industrial AI Data Platform providers.
Drawing on extensive research and vendor assessments, this guidebook explains how Industrial AI Data Platforms work, from data connectivity and contextualization to decision intelligence and advanced analytics, and how they fit within the broader Industrial AI capability stack. It highlights how vendors are incorporating Industrial DataOps, digital twin models, no-code/low-code development environments, and agentic AI capabilities to support modern industrial operations.
Complete the form on the right to download the LNS Research SSM Guidebook.
The SSM evaluates Advanced Analytics vendors using LNS Research’s 3P Evaluation Model: Product, Potential, and Presence, giving manufacturers a clear view of how providers compare and where they stand in the evolving market. Discover which vendors LNS Research classifies as:
- Proven Providers
- Front Runners
- Up & Comers
- Innovators
Download the guidebook today to access:
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- A complete overview of the Industrial AI Data Platforms landscape
- Detailed vendor rankings and comparative analysis across eight vendors: Braincube, C3.ai, Cognite, Palantir, Quartic.ai, Sight Machine, SymphonyAI, and TwinThread
- Guidance for selecting solutions aligned with your operational architecture and data maturity
- Research-backed recommendations to accelerate your Industrial AI strategy
Complete the form on the right to download the LNS Research SSM Guidebook.
Note: All entries in the Industrial AI: Advanced Analytics Solution Selection Matrix represent the opinions of the authors based on their industry experience and their view of the information collected using the methods described in our Research Integrity Policy.