Skip to main content

Software AG and Cumulocity Announce IoT Partnership

Software AG has expanded its Digital Business Platform with a strategic OEM partnership with Cumulocity, an Internet of Things (IoT) application enablement platform vendor, to offer an IoT foundation for easily and securely connecting devices and extracting value across numerous industrial environments to produce operational efficiencies and create new revenue streams.

By incorporating Cumulocity’s device connectivity and management product, the Digital Business Platform now provides the foundation for enterprises to securely integrate, link and scale to a network of millions of connected devices, distributed globally over thousands of tenants. This enables a plethora of IoT use cases such as remote machine monitoring and control, production diagnostics, predictive maintenance and remote service across several markets and industries worldwide from their data streams.

Enterprises now have the ability to connect and manage any ‘thing’, independent of hardware and protocols, to any application or business process in their enterprise or business ecosystem.

Wolfram Jost, CTO at Software AG, noted: “This strategic OEM partnership combines Software AG’s strength in streaming analytics and integration along with Cumulocity’s device integration. It is now possible to bring together operational technology and integrate it with an enterprise’s IT systems (i.e., CRM, ERP, BI, etc) translating the streaming IoT data into meaningful, actionable information.”

Apama Streaming Analytics helps with the creation of operational technology by correlating the IoT data. Operational technology data is often provided as streams of measurements, which can then be enriched with other contextual and historical data sources arising from IT systems. Based on a set of applied rules, this information can then be used to take action, generate an alert, or kick off a business process.

The Digital Business Platform removes the guesswork from product development by collecting data about how products function, as well as how they are actually used. For example, by continuously analyzing equipment sensor data in real-time via machine monitoring, operators can determine equipment condition and understand when maintenance will be required.

Bernd Gross, CEO, Cumulocity, said: “We are excited to be selected as a strategic partner with Software AG. We believe that the Software AG and Cumulocity relationship will further help enable the Internet of Things for our industrial customers. The powerful capabilities of Software AG’s Digital Business Platform plus Cumulocity’s ability to tap into sensor data will allow enterprises to create new business models, generate incremental revenue and optimize their operations.“

Jost concluded: “We have been working with Cumulocity for over a year and are building a tight relationship through the demand of our joint customers across industries such as insurance, pharma, manufacturing, retail and utilities. Cumulocity brings us the gravitas and leading-edge IoT device integration that, when used with the Digital Business platform, provide an effective go-to-market IoT foundation.”

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Software AG and Cumulocity Announce IoT Partnership

Software AG has expanded its Digital Business Platform with a strategic OEM partnership with Cumulocity, an Internet of Things (IoT) application enablement platform vendor, to offer an IoT foundation for easily and securely connecting devices and extracting value across numerous industrial environments to produce operational efficiencies and create new revenue streams.

By incorporating Cumulocity’s device connectivity and management product, the Digital Business Platform now provides the foundation for enterprises to securely integrate, link and scale to a network of millions of connected devices, distributed globally over thousands of tenants. This enables a plethora of IoT use cases such as remote machine monitoring and control, production diagnostics, predictive maintenance and remote service across several markets and industries worldwide from their data streams.

Enterprises now have the ability to connect and manage any ‘thing’, independent of hardware and protocols, to any application or business process in their enterprise or business ecosystem.

Wolfram Jost, CTO at Software AG, noted: “This strategic OEM partnership combines Software AG’s strength in streaming analytics and integration along with Cumulocity’s device integration. It is now possible to bring together operational technology and integrate it with an enterprise’s IT systems (i.e., CRM, ERP, BI, etc) translating the streaming IoT data into meaningful, actionable information.”

Apama Streaming Analytics helps with the creation of operational technology by correlating the IoT data. Operational technology data is often provided as streams of measurements, which can then be enriched with other contextual and historical data sources arising from IT systems. Based on a set of applied rules, this information can then be used to take action, generate an alert, or kick off a business process.

The Digital Business Platform removes the guesswork from product development by collecting data about how products function, as well as how they are actually used. For example, by continuously analyzing equipment sensor data in real-time via machine monitoring, operators can determine equipment condition and understand when maintenance will be required.

Bernd Gross, CEO, Cumulocity, said: “We are excited to be selected as a strategic partner with Software AG. We believe that the Software AG and Cumulocity relationship will further help enable the Internet of Things for our industrial customers. The powerful capabilities of Software AG’s Digital Business Platform plus Cumulocity’s ability to tap into sensor data will allow enterprises to create new business models, generate incremental revenue and optimize their operations.“

Jost concluded: “We have been working with Cumulocity for over a year and are building a tight relationship through the demand of our joint customers across industries such as insurance, pharma, manufacturing, retail and utilities. Cumulocity brings us the gravitas and leading-edge IoT device integration that, when used with the Digital Business platform, provide an effective go-to-market IoT foundation.”

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.