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  • 2026 GARTNER® MAGIC QUADRANT™

    Litmus is a Leader in the 2026 Gartner® Magic Quadrant™ for Global Industrial AIoT Platforms

    Litmus provides the Industrial Data Foundation manufacturers need to connect, contextualize, govern, and deliver factory data to enterprise AI across every plant.

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  • Trusted by manufacturers scaling industrial data and AI

  • Philips White Logo
  • JLR White Logo
  • SLB White Logo
  • Pfeifer White Logo
  • Parker White Logo
  • Nature Fresh Farms White Logo
  • Microsoft White Logo
  • Google Cloud White Logo
  • AWS White Logo
  • Databricks White Logo
  • Oracle White Logo
  • Dell White Logo
  • Three consecutive years in the Magic Quadrant

  •  2026 Leader Image
  • Litmus has been recognized in the Gartner® Magic Quadrant™ for three consecutive years, a Niche Player in 2024, a Challenger in 2025 and a Leader in 2026.

  • We believe that recognition reflects a problem manufacturers can no longer solve plant by plant: creating a consistent industrial data foundation for AI across the enterprise. 

  • *Everything on this page is our own assessment of what the placement reflects in our words.

  • Proven in production environments

    From multi-site deployments to measurable operational gains, Litmus helps manufacturers turn fragmented data into scalable execution. 

  • 95 sites deployed in 18 weeks

    standardized industrial data architecture

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  • $3M/month savings

    optimized packing and volume tracking

    Nature Fresh Farms
  • Predictive maintenance at scale

    Real-time equipment monitoring across sites

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  • Reduced plant downtime

    Real-time monitoring and corrective action

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  • Industrial AI faces a data architecture problem

    No two factories are the same. Equipment, protocols, data structures, and operating environments vary from plant to plant. Without a common foundation, the data architecture behind a successful AI use case often has to be rebuilt at the next site.

  • Make factory data consistent

    Make factory data consistent

    Connect and contextualize industrial data at the source so enterprise systems and AI applications receive usable, structured data.

  • Make deployments repeatable

    Make deployments repeatable

    Centrally deploy and manage the same data architecture across sites instead of rebuilding it plant by plant.

  • Keep your AI stack open

    Keep your AI stack open

    Deliver governed industrial data to the cloud, analytics, and AI platforms you already use—or run AI at the edge when the use case requires it.

  • One Industrial Data Foundation, across every plant

    Litmus brings the capabilities manufacturers need to make industrial data usable for AI into one platform, so manufacturers can scale AI without rebuilding the underlying data architecture plant by plant.

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  • The Solution

    Six capabilities. One industrial data foundation.

  • To scale AI, you need more than connectivity. You need a coordinated system that connects assets, structures data, secures flows, and manages deployments across sites. That’s what an industrial data foundation delivers. Traditional Industrial AI deployments take 12–18 months to reach production.
     
    But with the right data foundation, teams can standardize data and deploy use cases in days, not months.

  • Data Connectivity Upgraded

    Data Connectivity

    Connect industrial assets and systems.

  • Data Security Upgraded

    Data Security

    Protect industrial environments & data flows.

  • Industrial DataOps Upgraded

    Industrial DataOps

    Contextualize & model operational data.

  • Data Governance Upgraded

    Data Governance

    Standardize definitions and maintain trusted data.

  • Edge Intelligence Upgraded

    Edge Intelligence

    Run analytics and AI at the edge.

  • Central Management Upgraded

    Central Management

    Deploy and manage data pipelines across sites.

  • Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.
     
    Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
     
    This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Litmus

  • See why Litmus was named a Leader

    Get the full 2026 Gartner® Magic Quadrant™ for Global Industrial AIoT Platforms, including the evaluation of Litmus.

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