Companies Using New Relic

With 10+ years in web crawling and technographic data analysis, I've examined New Relic's position using our enriched dataset of 72,674 companies matched from 167,893 active domains where New Relic is detected. This analysis draws on our detection data, migration patterns, technology stack overlaps, and G2 review sentiment as of our March 2026 crawl.

1. Growth trajectory

New Relic's adoption curve tells a clear story of steady enterprise penetration. From a single detected domain in January 2011, the platform grew to 142,952 active domains by March 2025. The growth wasn't explosive like some SaaS tools. It was linear and persistent, averaging about 10,000 new active domains per year from 2016 to 2023. That acceleration picked up in 2024, jumping from 98,990 to 139,577 active domains in 12 months.

Two inflection points stand out. First, the 2017-2018 period when New Relic expanded beyond APM into infrastructure monitoring and browser analytics. Second, the 2020-2021 pandemic wave when every company suddenly needed real-time visibility into digital services they'd never had to monitor at scale before.

Sales Signal: The consistent growth curve means the addressable market keeps expanding. New Relic's free tier (100 GB/month) acts as a land-and-expand funnel. Sales teams should target companies that outgrew the free tier within the last 12 months.

"New Relic's growth pattern is unlike most SaaS tools we track. It doesn't spike and plateau. It compounds year over year, which tells me the platform embeds deeply into engineering workflows once adopted." - Mehmet Suleyman, CEO at TechnologyChecker.io

2. Customer profile

The customer profile is surprisingly bimodal. On one end, 66.7% of New Relic customers have 1-10 employees, consistent with startups and small agencies monitoring a few services. On the other end, 2.1% have 10,001+ employees, and these include some of the world's largest corporations: Deloitte (495,128 LinkedIn members), IBM, Bank of America, Siemens, Samsung, and Shell.

The age data reinforces this: 36.09% of customers were founded in the 2010s, the cloud-native generation. But 10.55% predate 1960, meaning century-old institutions like Siemens (1847), HSBC (1865), and Johnson & Johnson (1887) also rely on New Relic. Vendor-published case studies from newrelic.com/customers confirm names like Verizon, Domino's, Toyota, Ryanair, and Mercado Libre as active deployments. The outcomes are real: Mercado Libre cut its error rate to zero and got response times under 50ms. AB InBev improved MTTR by 80% across its 500+ beer brands. Ryanair monitors 1.3M daily website visitors and tracks real-time seat sales on nine screens in its operations center. That said, many enterprise detections (like Deloitte's alm.deloitte.com) are on internal tools and microsites, not company-wide rollouts.

Sales Signal: The bimodal distribution means two distinct sales motions. For startups, lead with the free tier and time-to-value. For enterprises, lead with consolidation value, as many of these companies also run Datadog or Dynatrace on different services.

3. Industry and geographic concentration

Retail leads at 8.77%, but no single industry exceeds 9%, making New Relic one of the most horizontal platforms in our dataset. Real Estate (4.91%) and Medical Practices (4.35%) are unexpected runners-up, likely driven by property management portals and patient-facing health apps that need uptime monitoring.

Geographically, the United States accounts for 52.9%, followed by Brazil at 8.1% and the UK at 6.1%. Brazil's strength (5,916 companies) isn't just our detection data. Mercado Libre, Latin America's largest ecommerce platform, runs New Relic across 13 countries and reduced VM usage by 20% (per their published case study). Itau Unibanco and PicPay (which cut incidents by 65%) confirm Brazil as a New Relic stronghold. In APAC, Tokopedia, Swiggy, and the Government of India's COVID contact tracing app all run on New Relic.

Sales Signal: Brazil and India (1,164 companies) are underserved relative to their detection counts. Teams selling into LATAM should note that New Relic's Portuguese documentation and Sao Paulo presence give it a local advantage over Datadog in the region.

4. Migration patterns

Migration data reveals competitive pressure points. New Relic gained 1,866 companies from Dynatrace and 495 from AppDynamics, reflecting the ongoing shift from legacy APM to modern observability platforms. Against Datadog, the picture is tighter: 1,169 gained vs. 1,725 lost, a 0.68:1 ratio that suggests Datadog is winning cloud-native workloads.

The Sentry corridor is the largest but misleading. New Relic lost 16,791 companies to Sentry while gaining 9,726. However, Sentry is an error tracking tool, not a direct APM competitor. Many companies run both. The "loss" likely means companies added Sentry for frontend error tracking while keeping New Relic for infrastructure.

Sales Signal: Two-sided opportunity here. For companies leaving Dynatrace or AppDynamics, position New Relic's consumption pricing (no host-based fees) as the migration incentive. For companies adding Datadog, highlight consolidation savings.

"The Dynatrace-to-New Relic corridor, 1,866 companies migrating, is the clearest signal that enterprises are moving away from per-host pricing models toward consumption-based observability." - Mehmet Suleyman, CEO at TechnologyChecker.io

5. Technology ecosystem

The tech stack data reveals what kind of companies adopt New Relic. AngularJS leads at 10.38%, suggesting a mature enterprise codebase rather than newer startups (which would skew React or Next.js). HubSpot at 8.20% indicates marketing-driven companies with complex lead-to-customer funnels. Drupal at 6.53% and Magento at 6.35% point to content-heavy and ecommerce-heavy deployments.

The absence of newer frameworks (React, Next.js) in the top ranks is telling. New Relic's customer base trends toward established codebases that have been in production for years, not greenfield projects.

Sales Signal: Companies running AngularJS and Magento are likely dealing with legacy performance issues. Position New Relic's APM traces and distributed tracing as the solution for diagnosing slow legacy services before a costly rewrite.

6. G2 review signals

G2 reviews paint a clear picture of New Relic's strengths and vulnerabilities. The user-friendly interface (97 mentions) and real-time monitoring (95 mentions) dominate the positive sentiment. This aligns with our detection data: the platform's widespread adoption across non-technical industries (Real Estate, Medical Practices) suggests it doesn't require deep SRE expertise to get value.

On the negative side, cost escalation with data volume (63 mentions) is the top criticism. This maps directly to our migration data: the 1,725 companies lost to Datadog likely hit New Relic's data pricing ceiling and explored alternatives. Shutterstock's case study confirms this tension. They cut logging spend by 60% after consolidating onto New Relic, but only because they invested in structured data pipelines and per-team cost dashboards. The second complaint, setup complexity (50 mentions), contradicts the ease-of-use praise. Skyscanner's experience illustrates why: they needed 10 dedicated engineers to maintain their pre-New Relic monitoring stack, then freed all of them after migrating 12 tools onto the platform. The upfront consolidation work is real, but the long-term payoff shows up in both our detection data and vendor case studies.

Sales Signal: For prospects citing price concerns, lead with the free tier (100 GB/month) and consumption model. For those citing setup complexity, offer professional services or pre-built quickstart integrations (770+ available).

7. Key takeaways

1. Market position: New Relic has the largest APM detection footprint at 167,893 domains, nearly 8x Datadog. It's the default enterprise observability choice.

2. Growth phase: Still expanding, with 40% active domain growth in 2024 alone. Not maturing yet.

3. Core archetype: Bimodal, split between micro-businesses on the free tier and Fortune 500 enterprises on paid plans.

4. Competitive moat: Consumption pricing, 770+ integrations, and the free tier create a powerful land-and-expand motion that host-based competitors (Dynatrace, AppDynamics) can't match. Vendor case studies confirm the ROI: AB InBev got 80% MTTR reduction, Shutterstock cut logging spend 60%, Skyscanner replaced 12 tools.

5. Key vulnerability: Datadog is winning cloud-native workloads. The 0.68:1 migration ratio against Datadog is the most concerning competitive signal.

8. Sales applications

Outreach template: "Hi [Name], I noticed [Company] is running New Relic alongside [Datadog/Dynatrace] based on our detection data at TechnologyChecker.io. Companies in [Industry] that consolidated to a single observability platform saved an average of 30-40% on monitoring costs. Worth a quick chat about what consolidation could look like for your team?"

Targeting strategy: On TechnologyChecker.io, filter for companies running New Relic + Datadog simultaneously (dual-stack). These are prime consolidation targets. Focus on the Retail (8.77%) and Financial Services (2.14%) verticals where compliance and uptime SLAs make consolidation especially valuable.

Competitive angle: Target the 1,866 companies that recently migrated from Dynatrace to New Relic. They've already proven willingness to switch. Reach out within 6 months of migration when they're still evaluating the new platform.

For the full dataset of 167,893 domains and 72,674 enriched companies, visit TechnologyChecker.io.