Gartner Releases 2014 Magic Quadrant for APM

Gartner released the 2014 Magic Quadrant for Application Performance Monitoring report, by Research VPs Jonah Kowall and Will Cappelli.

The report noted an increased importance in the software-as-a-service (SaaS) delivery method for Application Performance Management (APM) capabilities: “Users are growing ever more convinced that there is little or no functional or performance loss when consuming APM through a SaaS delivery mode. In fact, security and operations issues can often be reduced or eliminated by consuming SaaS technologies. At the same time, the advantages of a zero-management platform and reduced maintenance and continuous feature evolution are becoming ever more salient in a ‘do more for less’ and DevOps-influenced IT environment.”

The report predicts, "By 2017 50% of application performance monitoring (APM) deployments that fulfill all five dimensions of functionality will be primarily SaaS, up from under 20% today."

The five dimensions of functionality include:

■ End-user experience monitoring (EUM)

■ Application topology discovery and visualization

■ User-defined transaction profiling

■ Application component deep dive

■ IT Operations Analytics (ITOA)

In the report, Gartner also noted key shifts in the functional emphasis of solutions in the changing APM market this year. “First, driven by the increasing significance of mobile application endpoints and dynamic Web technology, EUM is becoming even more important than it currently is to enterprises,” states the report.

"Second, the 2013 argument between an approach to application performance analytics that would couple ITOA functionality tightly to an APM portfolio and one that envisioned APM as one discipline that used a domain-independent ITOA platform, among others, will be decided in favor of the latter approach."

Evaluation criteria for "completeness of vision" included market understanding, marketing strategy, sales strategy, product strategy, business model, vertical and industry strategy, innovation, and geographic strategy. Criteria for "ability to execute" included product, overall viability, sales execution and pricing, market responsiveness and record, marketing execution, customer experience, and operations. Gartner positions each vendor on two axes — Completeness of Vision and Ability to Execute — which lands them in a particular Quadrant. Those who demonstrate market understanding on both axes are placed in the top right "Leaders" quadrant. In this report, AppDynamics, Compuware (now Dynatrace) and New Relic, were placed in the Leaders quadrant. The other vendors featured in the report include AppNeta, BMC, CA Technologies, HP, IBM, ManageEngine, Microsoft, Riverbed Technology and SmartBear.

“The Gartner Magic Quadrant is a particularly credible metric because of the meticulous methodology they follow in researching the marketplace," says Jyoti Bansal, AppDynamics founder and CEO. "Gartner’s APM analysts interview hundreds of customers who are APM users. The Magic Quadrant report reflects the feedback from these actual users, as well as other evaluation criteria and the expertise of Gartner’s analysts, and is widely used and trusted by APM buyers.”

Several links to the report are available below.

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Gartner Releases 2014 Magic Quadrant for APM

Gartner released the 2014 Magic Quadrant for Application Performance Monitoring report, by Research VPs Jonah Kowall and Will Cappelli.

The report noted an increased importance in the software-as-a-service (SaaS) delivery method for Application Performance Management (APM) capabilities: “Users are growing ever more convinced that there is little or no functional or performance loss when consuming APM through a SaaS delivery mode. In fact, security and operations issues can often be reduced or eliminated by consuming SaaS technologies. At the same time, the advantages of a zero-management platform and reduced maintenance and continuous feature evolution are becoming ever more salient in a ‘do more for less’ and DevOps-influenced IT environment.”

The report predicts, "By 2017 50% of application performance monitoring (APM) deployments that fulfill all five dimensions of functionality will be primarily SaaS, up from under 20% today."

The five dimensions of functionality include:

■ End-user experience monitoring (EUM)

■ Application topology discovery and visualization

■ User-defined transaction profiling

■ Application component deep dive

■ IT Operations Analytics (ITOA)

In the report, Gartner also noted key shifts in the functional emphasis of solutions in the changing APM market this year. “First, driven by the increasing significance of mobile application endpoints and dynamic Web technology, EUM is becoming even more important than it currently is to enterprises,” states the report.

"Second, the 2013 argument between an approach to application performance analytics that would couple ITOA functionality tightly to an APM portfolio and one that envisioned APM as one discipline that used a domain-independent ITOA platform, among others, will be decided in favor of the latter approach."

Evaluation criteria for "completeness of vision" included market understanding, marketing strategy, sales strategy, product strategy, business model, vertical and industry strategy, innovation, and geographic strategy. Criteria for "ability to execute" included product, overall viability, sales execution and pricing, market responsiveness and record, marketing execution, customer experience, and operations. Gartner positions each vendor on two axes — Completeness of Vision and Ability to Execute — which lands them in a particular Quadrant. Those who demonstrate market understanding on both axes are placed in the top right "Leaders" quadrant. In this report, AppDynamics, Compuware (now Dynatrace) and New Relic, were placed in the Leaders quadrant. The other vendors featured in the report include AppNeta, BMC, CA Technologies, HP, IBM, ManageEngine, Microsoft, Riverbed Technology and SmartBear.

“The Gartner Magic Quadrant is a particularly credible metric because of the meticulous methodology they follow in researching the marketplace," says Jyoti Bansal, AppDynamics founder and CEO. "Gartner’s APM analysts interview hundreds of customers who are APM users. The Magic Quadrant report reflects the feedback from these actual users, as well as other evaluation criteria and the expertise of Gartner’s analysts, and is widely used and trusted by APM buyers.”

Several links to the report are available below.

Related Links

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Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Exploring AI Observability – Part 3: The Current State of AI Observability

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

Exploring AI Observability – Part 2: Traditional vs. AI Observability

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

Exploring AI Observability – Part 1: Why It Matters

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

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Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

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AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

What If AI's Biggest Competitive Advantage Isn't the Model?

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

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For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Visibility Is Not a Strategy - What Matters Is What Happens Next

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

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