Application Performance Management intelligence

Find companies using Application Performance Management technologies

Explore 128 Application Performance Management products used by 7,576,261 tracked companies, identify relevant accounts, and connect with decision-makers. Technology counts are approximate estimates, product install bases may overlap and should not be summed as unique companies.

10Listed technologies
GlobalTarget account coverage
CustomFirmographic filters
B2BDecision-maker targeting
TECHNOLOGY USER INTELLIGENCE

Know who uses Application Performance Management technologies

Build targeted prospect lists around the technologies relevant to your sales strategy.

Technology install base

Identify accounts using products and services in this category.

Company intelligence

Segment accounts by industry, geography, employee size, and other available firmographics.

Decision-maker contacts

Reach relevant IT, operations, and business stakeholders with available professional contact data.

TECHNOLOGY LANDSCAPE

Application Performance Management technologies

Explore technology names in this category. Company-usage figures are shown where available.

#1

Sentry

5,393,955tracked companies71% market share
#2

New Relic

948,226tracked companies12% market share
#3

Datadog

280,066tracked companies<5% market share
#4

Grafana

174,865tracked companies<5% market share
#5

AudioEye

120,839tracked companies<5% market share
#6

accessiBe

115,911tracked companies<5% market share
#7

Microsoft Application Insights

51,919tracked companies<5% market share
#8

Amazon Cloudwatch

58,446tracked companies<5% market share
#9

Compuware dynaTrace

45,263tracked companies<5% market share
#10

Zabbix

45,636tracked companies<5% market share

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Technology counts, where displayed, are source-linked estimates. Product install bases may overlap and should not be summed as unique companies.
BUYER INTELLIGENCE

Find accounts researching Application Performance Management solutions

Combine technology usage with relevant buying signals to prioritize your target accounts. Signal availability varies by dataset.

Research activity

Relevant technology topics and account-level research.

Buying-stage context

Prioritize accounts using available evaluation indicators.

Application Performance ManagementTechnology migrationTechnology evaluation

Account

Identify companies

Topic

Understand interest

Stage

Prioritize research

Contact

Find buying roles

SAMPLE OUTPUT

From technology users to target accounts

Combine technology and firmographic data to build a qualified prospect list. The example below is illustrative, not actual customer data.

AccountTechnologyResearch topicTarget roles
Example Company ASentryTechnology evaluationIT leadership
Example Company BNew RelicPlatform migrationTechnical decision-makers
Illustrative records only; no live intent or account claims are made.

Buyer intelligence fields you can request

Account & firmographics

Company, website, industry, location, employee and revenue ranges.

Technology environment

Products and services identified within the technology stack.

Research signals

Relevant topics and available activity indicators.

Buying committee

Relevant stakeholders and decision-making roles.

Contact data

Available business contact details for outreach.

Sales prioritization

Custom filters to focus on best-fit accounts.

Turn technology signals into a target account list

1

Select technologies

2

Choose intent topics

3

Apply ICP filters

4

Activate outreach

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Frequently asked questions

What is Application Performance Management?

Tools that monitor, measure and improve the performance and availability of applications.

Which products are most widely used?

Sentry, New Relic and Datadog lead this category.

Can I get companies using just one specific product?

Yes, request a custom filtered list for that single product.

Can I filter by location, company size, industry, or buyer role?

Yes, by those firmographics and relevant IT roles.

Do these company counts add up to unique companies?

No, install bases may overlap and should not be summed.