2021 Application Performance Management Predictions - Part 6

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021. Part 6, the final installment in the series, covers ITSM.

Start with: 2021 Application Performance Management Predictions - Part 1

Start with: 2021 Application Performance Management Predictions - Part 2

Start with: 2021 Application Performance Management Predictions - Part 3

Start with: 2021 Application Performance Management Predictions - Part 4

Start with: 2021 Application Performance Management Predictions - Part 5

FOCUS ON BUSINESS CONTINUITY

Business continuity and operational risk management interest takes precedence. It is not a question of "if," but rather "when" a disaster will strike. Responding to an incident in crisis mode without the benefit of planning, coordination, and testing can result in more downtime, higher recovery costs and times, a potential negative impact on brand and reputation, and business loss. In 2021, with the continued impact of COVID, we are likely to see even more interest from businesses, customers and investors regarding operational risk management, business continuity, and resiliency.
Anne Hardy
CISO, Talend

IMPROVED ITSM GUI AND DASHBOARDS

A common trend among IT Central Station ITSM reviews in 2020 was the lack of user-friendly interfaces. I therefore foresee vendors investing in the improvement of their GUIs and dashboards to enhance the user experience.
Russell Rothstein
Founder and CEO, IT Central Station

SELF-SERVICE ITSM

AI/ML assisted self-service whether through chat bots, virtual assistants, or purpose-built portals will become the channel of choice for offering or receiving help and information. On the enterprise side, the stunning cost savings make it a no-brainer. But customers and employees choose it as well. No surprise here. People like getting what they want or need, when they want or need it, in the way they want to seek it.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

In reaction to the pandemic, more and more organizations will bring in internal IT teams, and utilize self-service models and SaaS platforms to reduce the dependencies on external resources.
Ali Siddiqui
CPO, BMC Software

In 2021, chatbots powered with AI will begin to eliminate the "front-line" support analyst as the human ITSM analyst will be replaced with self-service portals and intelligent chatbots. Analysts will shift their focus to major incidents (one-to-many), problem management, and change management. Over the next 3-5 years, human involvement for most ITIL processes will be decreased because of improved machine learning and automation capabilities. We will see the traditional IT analysts become much more focused on business objectives versus IT tasks.
Marcel Shaw
Principal Federal Solutions Architect, Ivanti

Self-Serve Analytics will ramp up in 2021. As the pandemic continues in 2021, companies will look to further reduce dependencies on IT functions with self-serve analytics. This will help them turn data into valuable, shareable assets more quickly. Remote workforces and online expansions are draining IT resources. Automated data preparation, curation, stewardship, quality controls, and machine learning tools will help to stem the tide of IT demands.
Krishna Tamman
CTO, Talend

ENTERPRISE SERVICE MANAGEMENT

The use of ITSM people, processes, and products in support of non-IT functions such as HR and facilities will become the norm. In a world where people will complain about the mustard at a free lunch, EMA research yields an absolutely unambiguous endorsement of ESM. It has universally positive outcomes. C-level keepers of the budget will fund these initiatives without hesitation.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

As organizations have adjusted to the realities of remote work and adapting to manual tasks which result in decreased productivity, businesses are scaling and deploying ITSM solutions, leading to an increase in operational complexity to support the diverse needs of users and IT environments. To help reduce this complexity, and deliver an amazing employee experience organizations will look to enterprise service management solutions as a way to adopt processes that drive digital transformation. With AI service management, businesses can leverage hyper-automation and operations automation to increase productivity across the organization. Enterprise service management is the natural evolution to ITSM and will help businesses evolve into autonomous digital enterprises.
Ali Siddiqui
CPO, BMC Software

CMDB/CMS GETS NEW LIFE

It's back to the future as old ideas get new life in new use cases. CMDB/CMS will get a brand refresh for its critical role in delivering the service modeling that AIOps requires. With digital transformation in overdrive, service modeling and effective change management are center stage. CMDB/CMS in combination with discovery and dependency mapping (DDM) will be re-imagined and shaped to new use cases that power service excellence and cost-cutting initiatives.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

IOT PERFORMANCE IMPROVES

Adoption of IoT use cases under the umbrella of "edge computing" will accelerate standardization of operating system and application components, greatly improving performance, monitoring, and reliability of IoT solutions.
Jered Floyd
Technology Strategist, Office of the CTO, Red Hat

Check back after the Holidays for 2 more predictions series, covering NPM and the Cloud.

Related Links

Hot Topics

The Latest

Escaping Pilot Purgatory: How AI Becomes an Operational Advantage

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 ...

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 23: NetOps Labor Shortage

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

Why FinOps Rewrote Its Mission and What It Signals for Technology Management

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 ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

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 ...

Cold Data, Hot Problem: Why AI Is Rewriting Enterprise Storage Strategy

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 ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

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 ...

Explainability Is the New Battleground in AI-Powered Observability

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 ...

Empowering the Human Side of the Autonomous IT Age

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 Scale Is Outpacing Infrastructure - and IT Leaders Are Running Out of Time

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.

2021 Application Performance Management Predictions - Part 6

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021. Part 6, the final installment in the series, covers ITSM.

Start with: 2021 Application Performance Management Predictions - Part 1

Start with: 2021 Application Performance Management Predictions - Part 2

Start with: 2021 Application Performance Management Predictions - Part 3

Start with: 2021 Application Performance Management Predictions - Part 4

Start with: 2021 Application Performance Management Predictions - Part 5

FOCUS ON BUSINESS CONTINUITY

Business continuity and operational risk management interest takes precedence. It is not a question of "if," but rather "when" a disaster will strike. Responding to an incident in crisis mode without the benefit of planning, coordination, and testing can result in more downtime, higher recovery costs and times, a potential negative impact on brand and reputation, and business loss. In 2021, with the continued impact of COVID, we are likely to see even more interest from businesses, customers and investors regarding operational risk management, business continuity, and resiliency.
Anne Hardy
CISO, Talend

IMPROVED ITSM GUI AND DASHBOARDS

A common trend among IT Central Station ITSM reviews in 2020 was the lack of user-friendly interfaces. I therefore foresee vendors investing in the improvement of their GUIs and dashboards to enhance the user experience.
Russell Rothstein
Founder and CEO, IT Central Station

SELF-SERVICE ITSM

AI/ML assisted self-service whether through chat bots, virtual assistants, or purpose-built portals will become the channel of choice for offering or receiving help and information. On the enterprise side, the stunning cost savings make it a no-brainer. But customers and employees choose it as well. No surprise here. People like getting what they want or need, when they want or need it, in the way they want to seek it.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

In reaction to the pandemic, more and more organizations will bring in internal IT teams, and utilize self-service models and SaaS platforms to reduce the dependencies on external resources.
Ali Siddiqui
CPO, BMC Software

In 2021, chatbots powered with AI will begin to eliminate the "front-line" support analyst as the human ITSM analyst will be replaced with self-service portals and intelligent chatbots. Analysts will shift their focus to major incidents (one-to-many), problem management, and change management. Over the next 3-5 years, human involvement for most ITIL processes will be decreased because of improved machine learning and automation capabilities. We will see the traditional IT analysts become much more focused on business objectives versus IT tasks.
Marcel Shaw
Principal Federal Solutions Architect, Ivanti

Self-Serve Analytics will ramp up in 2021. As the pandemic continues in 2021, companies will look to further reduce dependencies on IT functions with self-serve analytics. This will help them turn data into valuable, shareable assets more quickly. Remote workforces and online expansions are draining IT resources. Automated data preparation, curation, stewardship, quality controls, and machine learning tools will help to stem the tide of IT demands.
Krishna Tamman
CTO, Talend

ENTERPRISE SERVICE MANAGEMENT

The use of ITSM people, processes, and products in support of non-IT functions such as HR and facilities will become the norm. In a world where people will complain about the mustard at a free lunch, EMA research yields an absolutely unambiguous endorsement of ESM. It has universally positive outcomes. C-level keepers of the budget will fund these initiatives without hesitation.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

As organizations have adjusted to the realities of remote work and adapting to manual tasks which result in decreased productivity, businesses are scaling and deploying ITSM solutions, leading to an increase in operational complexity to support the diverse needs of users and IT environments. To help reduce this complexity, and deliver an amazing employee experience organizations will look to enterprise service management solutions as a way to adopt processes that drive digital transformation. With AI service management, businesses can leverage hyper-automation and operations automation to increase productivity across the organization. Enterprise service management is the natural evolution to ITSM and will help businesses evolve into autonomous digital enterprises.
Ali Siddiqui
CPO, BMC Software

CMDB/CMS GETS NEW LIFE

It's back to the future as old ideas get new life in new use cases. CMDB/CMS will get a brand refresh for its critical role in delivering the service modeling that AIOps requires. With digital transformation in overdrive, service modeling and effective change management are center stage. CMDB/CMS in combination with discovery and dependency mapping (DDM) will be re-imagined and shaped to new use cases that power service excellence and cost-cutting initiatives.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

IOT PERFORMANCE IMPROVES

Adoption of IoT use cases under the umbrella of "edge computing" will accelerate standardization of operating system and application components, greatly improving performance, monitoring, and reliability of IoT solutions.
Jered Floyd
Technology Strategist, Office of the CTO, Red Hat

Check back after the Holidays for 2 more predictions series, covering NPM and the Cloud.

Related Links

Hot Topics

The Latest

Escaping Pilot Purgatory: How AI Becomes an Operational Advantage

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 ...

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 23: NetOps Labor Shortage

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

Why FinOps Rewrote Its Mission and What It Signals for Technology Management

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 ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

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 ...

Cold Data, Hot Problem: Why AI Is Rewriting Enterprise Storage Strategy

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 ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

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 ...

Explainability Is the New Battleground in AI-Powered Observability

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 ...

Empowering the Human Side of the Autonomous IT Age

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 Scale Is Outpacing Infrastructure - and IT Leaders Are Running Out of Time

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.