Skip to main content

Manufacturers Report Reduced Revenue Due to Poor Application Performance

Beatrice Piquer-Durand

Manufacturers are struggling to deal with increasingly complex IT estates, as 83% of firms report a rise in IT complexity driven by more users, increased locations, new applications and adoption of cloud computing, according to new research from Ipanema Technologies and Loudhouse.

Set against this backdrop is a concerning rise in IT performance problems, with a third of manufacturers reporting that application downtime is on the rise, compared to just 20% of firms that have seen a reduction in application downtime over the past 12 months.

IT leaders at manufacturing firms are in agreement that application performance remains critical to their bottom line, as research suggests poorly performing IT applications result in an average reduction in overall revenue of 20%. Common business problems caused by poorly functioning IT systems over the past 12 months have included: products being shipped late (42%), lower employee productivity (42%) and customer complaints (38%).


Today, manufacturers are struggling to address these challenges as 87% of IT leaders agree that guaranteeing application performance is a priority but only 27% have confidence in their company’s ability to rollout new applications quickly and easily. A large majority (70%) of firms also confirm they do not have confidence in the ability of their firm to troubleshoot application performance problems when things do go wrong.

Manufacturing firms are facing a perfect storm of IT challenges. The business is asking CIOs to do more with less while demanding the benefits offered by new advanced applications like Unified Communications, cloud applications or Video Conferencing, which can be transformative for collaborative product design. Our research shows that as IT estates become more complex, application performance problems are on the rise and this is costing manufacturers.

The sector’s top three IT objectives include productivity improvement (70%), cost reduction (71%) and implementing new applications such as Unified Communications (66%), all of which can potentially be jeopardized by networked applications that suffer slowness or non-responsiveness. In terms of specific IT projects, the sector is heavily focused on virtualization (69%) and supply chain IT projects (60%).

As manufacturers embrace trends like Cloud Computing, Unified Communications and BYOD, IT leaders need to consider a strategy for achieving an "application performance guarantee". If not, they ultimately risk falling productivity as frustrated users find applications are increasingly slow or unavailable with the Wide Area Network struggling to handle competing demands.

About the Research: More than 400 interviews were conducted with IT decision-makers involved in networking in manufacturing organizations. The respondents’ organizations had at least 1000 employees and at least 10 sites globally linked via a Wide Area Network (WAN). Interviews were carried out in the UK, France, Germany, Italy, Spain, Benelux, Switzerland and the USA. Respondents completed a survey in H2 2014. Research was undertaken by Loudhouse, an independent research agency based in London.

Béatrice Piquer-Durand is VP of Marketing at Ipanema Technologies.

Hot Topics

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.

Manufacturers Report Reduced Revenue Due to Poor Application Performance

Beatrice Piquer-Durand

Manufacturers are struggling to deal with increasingly complex IT estates, as 83% of firms report a rise in IT complexity driven by more users, increased locations, new applications and adoption of cloud computing, according to new research from Ipanema Technologies and Loudhouse.

Set against this backdrop is a concerning rise in IT performance problems, with a third of manufacturers reporting that application downtime is on the rise, compared to just 20% of firms that have seen a reduction in application downtime over the past 12 months.

IT leaders at manufacturing firms are in agreement that application performance remains critical to their bottom line, as research suggests poorly performing IT applications result in an average reduction in overall revenue of 20%. Common business problems caused by poorly functioning IT systems over the past 12 months have included: products being shipped late (42%), lower employee productivity (42%) and customer complaints (38%).


Today, manufacturers are struggling to address these challenges as 87% of IT leaders agree that guaranteeing application performance is a priority but only 27% have confidence in their company’s ability to rollout new applications quickly and easily. A large majority (70%) of firms also confirm they do not have confidence in the ability of their firm to troubleshoot application performance problems when things do go wrong.

Manufacturing firms are facing a perfect storm of IT challenges. The business is asking CIOs to do more with less while demanding the benefits offered by new advanced applications like Unified Communications, cloud applications or Video Conferencing, which can be transformative for collaborative product design. Our research shows that as IT estates become more complex, application performance problems are on the rise and this is costing manufacturers.

The sector’s top three IT objectives include productivity improvement (70%), cost reduction (71%) and implementing new applications such as Unified Communications (66%), all of which can potentially be jeopardized by networked applications that suffer slowness or non-responsiveness. In terms of specific IT projects, the sector is heavily focused on virtualization (69%) and supply chain IT projects (60%).

As manufacturers embrace trends like Cloud Computing, Unified Communications and BYOD, IT leaders need to consider a strategy for achieving an "application performance guarantee". If not, they ultimately risk falling productivity as frustrated users find applications are increasingly slow or unavailable with the Wide Area Network struggling to handle competing demands.

About the Research: More than 400 interviews were conducted with IT decision-makers involved in networking in manufacturing organizations. The respondents’ organizations had at least 1000 employees and at least 10 sites globally linked via a Wide Area Network (WAN). Interviews were carried out in the UK, France, Germany, Italy, Spain, Benelux, Switzerland and the USA. Respondents completed a survey in H2 2014. Research was undertaken by Loudhouse, an independent research agency based in London.

Béatrice Piquer-Durand is VP of Marketing at Ipanema Technologies.

Hot Topics

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.