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Digital Urgency Driving Demand for Outsourcing Services

The growing urgency of enterprises to digitally transform their business operations and enhance customer experience was the driving force behind much of the growth in outsourcing innovation, contract awards and spending in 2017, according to the ISG Momentum Annual Report released by Information Services Group (ISG).

Digital transformation contributed to a revival in large contracts with a single service provider, the report said, but noted the overall trend of shorter, limited-scope contract awards continued in 2017 as enterprise buyers sought to maintain flexibility and maintain leverage over service providers.

"Enterprises increasingly see outsourcing as a way to increase their pace of innovation and support their strategic initiatives," said Paul Reynolds, ISG partner and Chief Research Officer. "This is expanding the market for outsourcing services, not cannibalizing it. Digital technologies are unlocking new value from traditional outsourced services, and the need for companies to have a flexible, digital-friendly IT infrastructure is spurring new sourcing for cloud and other services."

Not that cost-cutting is no longer a primary focus, Reynolds said. "Enterprise customers do not want either innovation or cost savings. They want both. And they are increasingly seeking greater than 10 percent savings on service prices when renegotiating with incumbent service providers."

To meet this requirement and keep customer engagements profitable, service providers will need to rely more on automation and other innovations and change how they work with customers to collaborate more closely, the report said.

A prime example of this change is the growing customer preference for outcome-based contracts. Service providers, the report said, would do well to proactively propose new metrics and pricing structures to their customers, or risk losing their business.

Approximately 65 percent of current outsourcing engagements are at risk of not being renewed with the incumbent service provider, the report said. Such market volatility — driven by competitive pricing and offers of greater savings and innovation — will play a key role in determining which providers win their share of the $25 billion of outsourcing contracts up for grabs in 2018.

Higher levels of automation and other innovations are becoming table stakes in service proposals, which reduces the opportunity for them to be differentiators, the report said, citing the example of analytics now being built into many solutions.

ISG expects automation to play a greater role in outsourcing services that focus on IT support and customer engagement and support. Service providers' automation capabilities and intellectual property are becoming more important during the selection process, the report noted.

For their part, service providers expect as-a-service offerings, robotic process automation and intelligent automation to exert the most downward pricing pressure on outsourcing services in 2018.

Agile development capabilities are an increasingly important area of consideration for enterprises. Two-thirds of enterprises expect to have DevOps teams in place within the next 18 months, ISG research has found, and they are looking to contract with providers that will help them make the transition to more agile environments. To meet the demand, providers will have to be more flexible in how they price and deliver Application Design and Maintenance (ADM) services, the report said.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Digital Urgency Driving Demand for Outsourcing Services

The growing urgency of enterprises to digitally transform their business operations and enhance customer experience was the driving force behind much of the growth in outsourcing innovation, contract awards and spending in 2017, according to the ISG Momentum Annual Report released by Information Services Group (ISG).

Digital transformation contributed to a revival in large contracts with a single service provider, the report said, but noted the overall trend of shorter, limited-scope contract awards continued in 2017 as enterprise buyers sought to maintain flexibility and maintain leverage over service providers.

"Enterprises increasingly see outsourcing as a way to increase their pace of innovation and support their strategic initiatives," said Paul Reynolds, ISG partner and Chief Research Officer. "This is expanding the market for outsourcing services, not cannibalizing it. Digital technologies are unlocking new value from traditional outsourced services, and the need for companies to have a flexible, digital-friendly IT infrastructure is spurring new sourcing for cloud and other services."

Not that cost-cutting is no longer a primary focus, Reynolds said. "Enterprise customers do not want either innovation or cost savings. They want both. And they are increasingly seeking greater than 10 percent savings on service prices when renegotiating with incumbent service providers."

To meet this requirement and keep customer engagements profitable, service providers will need to rely more on automation and other innovations and change how they work with customers to collaborate more closely, the report said.

A prime example of this change is the growing customer preference for outcome-based contracts. Service providers, the report said, would do well to proactively propose new metrics and pricing structures to their customers, or risk losing their business.

Approximately 65 percent of current outsourcing engagements are at risk of not being renewed with the incumbent service provider, the report said. Such market volatility — driven by competitive pricing and offers of greater savings and innovation — will play a key role in determining which providers win their share of the $25 billion of outsourcing contracts up for grabs in 2018.

Higher levels of automation and other innovations are becoming table stakes in service proposals, which reduces the opportunity for them to be differentiators, the report said, citing the example of analytics now being built into many solutions.

ISG expects automation to play a greater role in outsourcing services that focus on IT support and customer engagement and support. Service providers' automation capabilities and intellectual property are becoming more important during the selection process, the report noted.

For their part, service providers expect as-a-service offerings, robotic process automation and intelligent automation to exert the most downward pricing pressure on outsourcing services in 2018.

Agile development capabilities are an increasingly important area of consideration for enterprises. Two-thirds of enterprises expect to have DevOps teams in place within the next 18 months, ISG research has found, and they are looking to contract with providers that will help them make the transition to more agile environments. To meet the demand, providers will have to be more flexible in how they price and deliver Application Design and Maintenance (ADM) services, the report said.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...