IIoT Software Options 2026

Phil Turton
Jul 28
11 min read

Most manufacturers already have machines generating useful data - the problem is that it sits locked inside individual PLCs, historians, and control systems that were never built to talk to each other, let alone to the cloud. Industrial IoT (IIoT) software exists to solve exactly that problem, connecting operational technology to the applications, analytics, and decisions that depend on it.

What has changed in 2026 is how much of this market has been reshaped by ownership changes and consolidation. Several long-standing IIoT brands have moved to new owners in the past two years, and buyers building a shortlist need to know who actually stands behind the platform today, not just who built it originally.

This guide covers the leading IIoT platforms available in 2026, evaluated independently across industrial automation vendors, hyperscaler cloud platforms, and specialist connectivity tools. Viewpoint Analysis is a Technology Matchmaker, helping manufacturers and industrial businesses find and select the right technology fast - aiming to be the place buyers go to understand the software and technology market before speaking to vendors.

Included IIoT Software Vendors

This guide covers the following IIoT platforms, evaluated independently across industrial automation, hyperscaler, and specialist connectivity tiers. Our viewpoint on each vendor follows below.

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What is IIoT Software?

Industrial IoT (IIoT) software connects machines, sensors, PLCs, and production equipment to the applications and people that need to act on that data. It provides the connectivity layer that collects signals from operational technology, the contextualisation layer that turns raw tags into meaningful asset and process data, and the application layer that puts that data in front of engineers, operators, and analytics tools.

IIoT platforms sit beneath higher-level systems rather than replacing them. A manufacturer's historian, MES, and enterprise analytics tools all depend on a reliable connectivity layer underneath them, and that is the problem this category of software solves. Some platforms package connectivity and application development together in one environment; others focus specifically on the connectivity problem and are designed to sit beneath whichever analytics, MES, or AI platform a manufacturer chooses on top.

For a broader view of how IIoT fits within the wider connected manufacturing stack - including digital twin, production intelligence, and specialist tools - see the Viewpoint Analysis Manufacturing 4.0 Software Options 2026 guide. For manufacturers whose priority is applying AI and machine learning to operational data once it is connected, the Industrial AI Software Options 2026 guide covers that layer in detail.

How to Find IIoT Software

The IIoT vendor landscape is unusually fragmented, and it has been reshaped further by recent ownership changes. Some of the vendors in this guide sit within large industrial automation companies, some are now independent businesses following a divestment or buyout, and some are cloud services from the major hyperscalers. Working out which type of vendor fits your situation starts with a clear view of what connectivity already exists between your machines and your IT systems, and how much of the application layer you want to build yourselves versus buy pre-packaged.

The Longlist Builder at Viewpoint Analysis generates a tailored longlist of IIoT vendors matched to your machine estate, existing infrastructure, and priorities, in minutes and free of charge.

For manufacturers who would prefer the leading vendors to come to them directly, the Technology Matchmaker Service manages that process. Think of it like Dragons' Den or Shark Tank for enterprise software: Viewpoint Analysis interviews your team, writes a Challenge Brief capturing your requirements, and invites the leading IIoT vendors to pitch their platform directly to you.

Industrial Automation Vendor IIoT Platforms

The platforms in this section come from established industrial automation vendors, giving manufacturers native connectivity to equipment from the same supplier as part of a wider automation relationship.

PTC ThingWorx is one of the most widely deployed industrial IoT application platforms in the market, providing the connectivity, data contextualisation, and application development environment manufacturers use to build connected production applications. In 2026, ThingWorx sits within Velotic, the industrial software portfolio TPG launched in March 2026 alongside Kepware connectivity software, following a carve-out of PTC's IoT and connectivity assets into an independent business. The platform remains developer-friendly and flexible, supporting everything from machine monitoring dashboards to condition-based maintenance applications built on top of live operational data. ThingWorx integrates closely with Kepware for industrial protocol connectivity, giving manufacturers a combined connectivity and application layer within the same portfolio. It is commonly deployed by manufacturers who want to build bespoke connected applications rather than adopt a fixed, pre-packaged solution.

Our Viewpoint: A strong fit for manufacturers who want the flexibility to build custom connected applications on top of their operational data, particularly where Kepware connectivity already forms part of the environment.

Siemens Insights Hub previously known as MindSphere, is Siemens' cloud-based industrial IoT platform for connecting machines and physical infrastructure to digital applications. It aggregates operational data from connected assets and exposes it through open APIs for analytics, monitoring, and optimisation applications built by Siemens, partners, or in-house teams. The platform is most naturally evaluated by manufacturers already running Siemens automation and control hardware, though its open architecture supports assets from other vendors too. Insights Hub sits within Siemens' wider Xcelerator portfolio, giving manufacturers a path to connect IIoT data with digital twin, simulation, and PLM tools from the same ecosystem. Its energy and sustainability monitoring capabilities have become a growing area of investment as manufacturers face pressure to report on energy use at the asset level.

Our Viewpoint: Particularly well suited to manufacturers already running Siemens automation infrastructure who want a connected data layer that extends naturally into Siemens' wider digital twin and PLM tools.

ABB Ability is ABB's industrial IoT platform, built on the company's history in robotics, drives, and process automation to deliver connected monitoring and optimisation for electrification and motion-intensive manufacturing environments. The platform is most relevant for manufacturers already running ABB drives, motors, or robots, where it provides native connectivity and performance monitoring without the integration work a third-party IIoT layer would require. Its energy optimisation and predictive maintenance capabilities are aimed at manufacturers facing energy cost pressure and looking to extend the working life of capital-intensive rotating equipment. ABB Ability spans a wide range of ABB's own product lines, giving manufacturers a single connected view across electrification and automation assets from the same supplier. It is typically deployed by manufacturers with a significant installed base of ABB equipment.

Our Viewpoint: A natural fit for manufacturers with a substantial installed base of ABB drives, motors, or robots who want native connectivity and performance monitoring without a separate integration layer.

Honeywell Forge is Honeywell's industrial IoT and performance management platform, built on the company's history in process control and industrial automation. Forge connects operational assets, contextualises sensor and process data, and delivers AI-driven performance insights, with particular strength in energy management and operational efficiency for process-intensive manufacturing environments. It is a natural fit for manufacturers already running Honeywell control systems who want to build a connected data layer above existing operational technology without replacing working infrastructure. Honeywell's 2026 corporate restructuring, which has separated the business into focused automation, aerospace, and advanced materials companies, has sharpened Forge's positioning as a core platform within the automation business specifically. Its energy and sustainability analytics capabilities are increasingly relevant for manufacturers with net-zero commitments that require granular, asset-level data.

Our Viewpoint: A solid choice for manufacturers already running Honeywell control systems who want to add a connected data layer without replacing existing operational technology.

Hitachi Lumada is Hitachi's industrial IoT and data platform, drawing on the company's operational technology heritage across energy, transportation, and manufacturing sectors. The platform connects industrial assets and applies analytics to operational data, with particular strength in asset-intensive, energy-related manufacturing environments where Hitachi's own equipment and systems knowledge adds useful context. Lumada is most relevant for manufacturers in energy-intensive or utility-adjacent sectors, where Hitachi's domain expertise in power generation, rail, and heavy industry adds practical value beyond generic connectivity. The platform is typically deployed as part of a wider Hitachi relationship. Its focus on regulated, asset-heavy industries makes it a relevant consideration for manufacturers operating complex, capital-intensive production environments.

Our Viewpoint: A relevant option for manufacturers in energy-intensive or utility-adjacent sectors who value Hitachi's domain expertise in power, rail, and heavy industrial equipment.

Hyperscaler and Cloud IIoT Platforms

The platforms in this section come from the major cloud providers, giving manufacturers a route to connect operational data directly into the same cloud environment already used for other business systems and AI applications.

AWS IoT SiteWise is Amazon's managed service for collecting, organising, and analysing industrial equipment data at scale. It connects to common industrial protocols and historians, structures the resulting data into asset models, and makes it available to the wider AWS analytics, machine learning, and visualisation services without requiring a manufacturer to build that infrastructure themselves. The platform is well suited to manufacturers already standardised on AWS who want their operational data available alongside other business data in the same cloud environment. Its consumption-based pricing model appeals to manufacturers who want to start small and scale usage in line with the number of connected assets and volume of data collected. SiteWise is typically deployed by manufacturers with in-house development capability who want a flexible, cloud-native foundation rather than a fixed, pre-packaged IIoT application.

Our Viewpoint: A strong option for manufacturers already standardised on AWS who want operational data available alongside the rest of their cloud environment, with the flexibility to build on top of it.

Microsoft Azure IoT brings together the device connectivity, data ingestion, and edge computing services manufacturers use to build connected operations on the Azure cloud platform. Azure IoT Operations extends this into the factory itself, running at the edge to collect and contextualise data from industrial equipment before sending it to the cloud for wider analytics and AI applications. The platform is a strong choice for manufacturers with in-house development capability who want to build a bespoke IIoT capability on scalable, well-supported cloud infrastructure, particularly where the organisation is already standardised on Microsoft Azure. Its integration with Azure's wider AI and analytics services gives manufacturers a direct path from connected operational data to predictive and generative AI applications within the same environment. Manufacturers evaluating Azure IoT typically already have data engineering or platform teams in place to build on the underlying services.

Our Viewpoint: Particularly well suited to manufacturers with in-house development capability who are already standardised on Microsoft Azure and want a direct path from connected operational data into AI and analytics.

Specialist IIoT Connectivity Platforms

The platforms in this section focus specifically on machine connectivity and application development, designed to sit beneath whichever analytics, MES, or AI platform a manufacturer chooses to run on top.

Cumulocity is a dedicated industrial IoT platform covering device connectivity, data management, and application development across cloud, on-premises, edge, and hybrid environments. Since January 2025 the business has operated as an independent company following a management buyout from Software AG, backed by Schroders Capital, Verso Capital, and Avedon. The platform supports a wide range of industrial connectivity protocols and includes the Apama engine for streaming analytics, allowing manufacturers to act on sensor data in real time. Cumulocity is positioned as a vendor-neutral connectivity layer, making it a practical choice for manufacturers with a mixed estate of machines and control systems from different suppliers. Its independence from a larger parent company gives it a clear focus on the IIoT market specifically, rather than IIoT being one product line within a broader portfolio.

Our Viewpoint: A good option for manufacturers with a mixed, multi-vendor machine estate who want a dedicated, vendor-neutral connectivity platform rather than one tied to a single automation supplier.

Litmus Automation focuses specifically on the machine connectivity problem that sits at the start of any IIoT programme. Its edge software, Litmus Edge, connects to more than 250 industrial protocols, covering PLCs, CNCs, robots, and production equipment from virtually all major manufacturers, addressing the common challenge of extracting data from a mixed, multi-vendor factory floor without custom integration work for each asset type. Litmus is typically deployed as the connectivity and data normalisation layer beneath a higher-level analytics or MES platform, rather than as a standalone application environment. For manufacturers at the start of their IIoT journey who need to solve the fundamental connectivity problem before adding intelligence on top, it is a focused and practical starting point. It is well suited to manufacturers who want a dedicated connectivity layer that can sit beneath whichever analytics or execution platform they choose.

Our Viewpoint: A practical starting point for manufacturers at the beginning of their IIoT journey, where solving machine connectivity across a mixed equipment estate is the immediate priority.

Ignition (Inductive Automation) is an industrial application platform spanning SCADA, IIoT, MES, and reporting from a single, unified environment. Its unlimited licensing model, sold by the server rather than by tag or client, allows manufacturers to connect as many devices and build as many applications as they need without the cost penalties associated with per-tag or per-client pricing common elsewhere in the category. Ignition is built around a unified namespace architecture, structuring real-time data from PLCs and assets and making it available to dashboards, historians, and enterprise systems including ERP. It is widely used by manufacturers and system integrators who want a single platform to build SCADA, IIoT, and MES capability incrementally, rather than procuring separate point tools for each layer. The platform's web-based deployment model allows applications to run on desktops, industrial displays, and mobile devices from the same underlying project.

Our Viewpoint: A strong choice for manufacturers who want to build SCADA, IIoT, and MES capability incrementally on a single platform, particularly where predictable, unlimited licensing is a priority.

How to Select IIoT Software

Connectivity and protocol breadth should be the starting point for any evaluation. Confirm that a platform can connect to your specific PLCs, historians, and control systems, across every machine vendor represented on your factory floor, without heavy custom integration work for each asset type. This is where many IIoT programmes stall, and it is worth proving out with your own equipment before committing to a platform.

Deployment model and network security requirements deserve early attention. Cloud, edge, and hybrid architectures each carry different implications for latency, data residency, and how much operational technology needs to be exposed to the internet. Manufacturers with regulatory constraints or air-gapped production environments should confirm a platform's edge and on-premises capability before assuming a cloud-first deployment will work.

Integration with existing MES, ERP, and historian infrastructure is central to getting value from an IIoT platform. Most manufacturers are not starting from a blank slate, and the platforms that succeed are the ones that connect cleanly to what is already there rather than requiring a wholesale replacement of working systems.

Vendor stability and ownership matter more in this category in 2026 than in most others. Several well-known IIoT brands have changed hands in the past two years through carve-outs, buyouts, and portfolio restructuring, and buyers should confirm who currently owns and supports a platform, and what its product roadmap looks like under that ownership, before signing a long-term contract.

If you are looking for IIoT technology and would like some expert assistance, our Buyer Help Services do just that. Whether you need ad-hoc guidance and support, or want to check your shortlist is accurate - all the way through to a full procurement service, we have this and more.

Summary

The IIoT software market in 2026 is defined as much by who owns each platform as by what the platform does. Established industrial automation vendors continue to offer native connectivity for their own equipment, the major cloud providers have matured their IoT services into credible foundations for manufacturers building in-house, and a wave of divestments and buyouts has reshaped several of the best-known specialist platforms into newly independent or differently-owned businesses.

Three things stand out for buyers making a decision in 2026. First, check ownership and roadmap before connectivity features, since several platforms in this category have changed hands recently and the vendor you evaluate may operate differently to how it did two years ago. Second, be clear on how much you want to build versus buy, since the platforms in this guide range from fully pre-packaged applications to flexible development environments that assume in-house technical capability. Third, treat connectivity as the foundation rather than the finish line, since the value of an IIoT platform is realised through the analytics, MES, or AI tools that sit on top of it.

IIoT Buyer Help - Next Action

Viewpoint Analysis works with manufacturers and industrial businesses to find and select the right IIoT software - independently, without vendor fees or influence.

If you are just starting out and want to understand what is in the market, the Longlist Builder is free, takes a few minutes, and returns a tailored list of IIoT vendors matched to your machine estate and requirements.
If you want vendors to come to you rather than the other way around, the Technology Matchmaker Service handles the briefing, vendor identification, and pitch process on your behalf.
If you are ready to run a structured selection and want to move quickly, our Technology Selection Services take you from requirements to a vendor decision in weeks.

Talk to Viewpoint Analysis

If you are currently evaluating IIoT software and would like independent guidance on which platforms fit your requirements, request a call and we will be happy to help. If you are a vendor in this space and would like to be considered for future content and matchmaking opportunities, we would also like to hear from you.