Skip to main content

Service-now.com Named to Wall Street Journal "Next Big Thing" List

Awarded for Second Consecutive Year

Service-now.com has been named to the Wall Street Journal "Next Big Thing" list. The Wall Street Journal analyzed 5,743 organizations in order to identify the top 50 privately held, venture-backed companies.

The publication ranked these organizations according to both financial and qualitative components and also identified intangibles as key factors in its decision. Service-now.com was one of only 14 companies on the 2011 list to also be included in 2010.

Service-now.com is recognized for being first to deliver SaaS for enterprise IT. Customer success has helped the company become one of the fastest-growing in the world. Service-now.com continues its explosive ascendancy in the enterprise IT management market as more new customers select the cloud service over any other ITSM offering. Now hundreds of enterprise organizations use Service-now.com to help provide better IT service for approximately six million end users around the world.

In an article accompanying the list, the Wall Street Journal suggested a common factor to selected companies is the incorporation of social-networking capabilities into their offerings. In February, Service-now.com announced availability of its Winter 2011 release which included the first-ever social network built for enterprise IT. Service-now.com social IT includes the functionality of social media and the community of social networking for the purpose of improving IT support and boosting productivity.

Service-now.com Winter 2011 release coincided with the introduction of IT 3.0, a natural evolution of IT built on the essentials of people, process and technology. IT 3.0 represents a people-centric view of IT service by using recent advances in technology and a more-practical approach to process, helping the business through familiar usability, cloud services and social IT.

The rankings for the 2011 Next Big Thing list were calculated based on how each company scored in the following five components:

* The track record of success for the venture-capital investors who sit on the company's board.

* The amount of capital raised by the company over past three years.

* An editorial ranking.

* The track record of success for the entrepreneurial CEO and founders.

* The recent growth in value of the company.

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 ...

Service-now.com Named to Wall Street Journal "Next Big Thing" List

Awarded for Second Consecutive Year

Service-now.com has been named to the Wall Street Journal "Next Big Thing" list. The Wall Street Journal analyzed 5,743 organizations in order to identify the top 50 privately held, venture-backed companies.

The publication ranked these organizations according to both financial and qualitative components and also identified intangibles as key factors in its decision. Service-now.com was one of only 14 companies on the 2011 list to also be included in 2010.

Service-now.com is recognized for being first to deliver SaaS for enterprise IT. Customer success has helped the company become one of the fastest-growing in the world. Service-now.com continues its explosive ascendancy in the enterprise IT management market as more new customers select the cloud service over any other ITSM offering. Now hundreds of enterprise organizations use Service-now.com to help provide better IT service for approximately six million end users around the world.

In an article accompanying the list, the Wall Street Journal suggested a common factor to selected companies is the incorporation of social-networking capabilities into their offerings. In February, Service-now.com announced availability of its Winter 2011 release which included the first-ever social network built for enterprise IT. Service-now.com social IT includes the functionality of social media and the community of social networking for the purpose of improving IT support and boosting productivity.

Service-now.com Winter 2011 release coincided with the introduction of IT 3.0, a natural evolution of IT built on the essentials of people, process and technology. IT 3.0 represents a people-centric view of IT service by using recent advances in technology and a more-practical approach to process, helping the business through familiar usability, cloud services and social IT.

The rankings for the 2011 Next Big Thing list were calculated based on how each company scored in the following five components:

* The track record of success for the venture-capital investors who sit on the company's board.

* The amount of capital raised by the company over past three years.

* An editorial ranking.

* The track record of success for the entrepreneurial CEO and founders.

* The recent growth in value of the company.

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 ...